- Research article
- Open Access
Genomic profiling of dioecious Amaranthus species provides novel insights into species relatedness and sex genes
BMC Biology volume 21, Article number: 37 (2023)
Amaranthus L. is a diverse genus consisting of domesticated, weedy, and non-invasive species distributed around the world. Nine species are dioecious, of which Amaranthus palmeri S. Watson and Amaranthus tuberculatus (Moq.) J.D. Sauer are troublesome weeds of agronomic crops in the USA and elsewhere. Shallow relationships among the dioecious Amaranthus species and the conservation of candidate genes within previously identified A. palmeri and A. tuberculatus male-specific regions of the Y (MSYs) in other dioecious species are poorly understood. In this study, seven genomes of dioecious amaranths were obtained by paired-end short-read sequencing and combined with short reads of seventeen species in the family Amaranthaceae from NCBI database. The species were phylogenomically analyzed to understand their relatedness. Genome characteristics for the dioecious species were evaluated and coverage analysis was used to investigate the conservation of sequences within the MSY regions.
We provide genome size, heterozygosity, and ploidy level inference for seven newly sequenced dioecious Amaranthus species and two additional dioecious species from the NCBI database. We report a pattern of transposable element proliferation in the species, in which seven species had more Ty3 elements than copia elements while A. palmeri and A. watsonii had more copia elements than Ty3 elements, similar to the TE pattern in some monoecious amaranths. Using a Mash-based phylogenomic analysis, we accurately recovered taxonomic relationships among the dioecious Amaranthus species that were previously identified based on comparative morphology. Coverage analysis revealed eleven candidate gene models within the A. palmeri MSY region with male-enriched coverages, as well as regions on scaffold 19 with female-enriched coverage, based on A. watsonii read alignments. A previously reported FLOWERING LOCUS T (FT) within A. tuberculatus MSY contig was also found to exhibit male-enriched coverages for three species closely related to A. tuberculatus but not for A. watsonii reads. Additional characterization of the A. palmeri MSY region revealed that 78% of the region is made of repetitive elements, typical of a sex determination region with reduced recombination.
The results of this study further increase our understanding of the relationships among the dioecious species of the Amaranthus genus as well as revealed genes with potential roles in sex function in the species.
The genus Amaranthus L. is a diverse plant group of 70–80 species distributed across the world’s temperate and tropical regions . Nine of these species [Amaranthus acanthochiton J.D. Sauer, Amaranthus arenicola I.M. Johnson, Amaranthus australis (A. Gray) J.D. Sauer, Amaranthus cannabinus (L.) J.D. Sauer, Amaranthus floridanus (S. Watson) J.D. Sauer, Amaranthus tuberculatus (Moq.) J.D. Sauer, Amaranthus greggii S. Watson, Amaranthus watsonii Standley, and Amaranthus palmeri S. Watson] are dioecious (i.e., separate male and female individual plants), native to North America and grouped collectively into the subgenus Acnida (L.) Aellen ex K.R. Robertson [2,3,4].
The Amaranthus genus has been described as taxonomically challenging due to morphological similarities among species . Relationships among species of the genus, including the dioecious ones, were previously investigated using several molecular markers and phylogenetic frameworks [6,7,8,9,10]. Stetter and Schmid , with an objective to elucidate the domestication history of cultivated amaranths, used genotyping-by-sequencing (GBS) for 35 species of the genus in neighbor joining and multispecies coalescent (MSC) frameworks to infer A. hybridus as likely ancestor of the cultivated amaranths, A. caudatus, A. cruentus, and A. hypochondriacus. In the most recent attempt to reconstruct the evolutionary relationships among the species of the genus, Waselkov et al.  sampled 58 species, including the nine dioecious species, and used six molecular markers (ITS, A36, G3PDH, waxy, trnL5’-trnL3’, and matk/trnK) in a maximum parsimony and Bayesian inference phylogenetic framework. Trees from both studies were congruent with high support for deeper node relationships, such as species clustering or clades corresponding to previously defined three subgenera, Acnida, Amaranthus and Albersia . Relationships among the dioecious species along “shallow” nodes however were poorly resolved with weak supports and, thus, some relationships remain unclear (e.g., is A. tuberculatus more closely related to A. arenicola than to A. floridanus?).
While advances in molecular phylogenetics have increased the level of inference we can draw on trait evolution or species relationships, poorly resolved trees resulting from biological processes (e.g., ancient or recent hybridization, incomplete lineage sorting, introgression or rapid radiation) or systematic errors (e.g., low parsimony-informativeness of markers) still make inference on trait evolution intractable for some genera . Several methods estimating phylogenetic relationships that put into consideration these biological processes have gained attention [12,13,14]; however, few are able to explicitly estimate species trees from phylogenomic data taking into account several sources of conflict and heterogeneity in molecular substitution . Thus, complementary approaches are often required for robust relationship inference. Phylogenetic approaches (e.g., k-mer-based method) that by-pass challenges inherent in alignment- or assembly-based methods have been proposed, offering flexibility to sequence analysis and better use of computing power compared to alignment-based methods [16, 17]. For instance, the MinHash algorithm  was implemented in a sequence clustering tool, Mash , and among 74 alignment-free (AF) methods, Mash was shown to have the highest performance for genome-based phylogeny of plants using unassembled reads .
Aside from interests in the evolutionary relationship among Amaranthus species, there is also renewed interests in the dioecious species for their weedy trait characteristics [21, 22] and their mechanisms of sex determination or dioecy evolution [23, 24]. Although many of the dioecious species are restricted to their geographic range and currently of little economic importance with regards to food source relative to cultivated monoecious species [1, 25, 26], Amaranthus tuberculatus and A. palmeri are two agronomically important weeds in North America  and have been the focus of many research studies [22, 28,29,30,31]. The dioecious nature of both species ensures obligate outcrossing, thus enhancing high genetic diversity, prolific seed production, rapid adaptation, and spread of herbicide resistance [21, 22, 32, 33]. While dioecy confers evolutionary advantages [34, 35], a disadvantage, however, believed to be taking place naturally, is that bottleneck events could result in populations that are depleted of one of the two sexes, and if not for sex reversion, the population would collapse and thus become locally extinct . Considering this disadvantage an advantage from a weed management standpoint, artificial gender manipulation, whereby sex ratios could be biased towards one gender and the genetic factors involved are inherited in a non-Mendelian pattern via a gene drive system, was proposed as a possible strategy for management of weedy dioecious Amaranthus species [37, 38].
Only until recently have the genes and the mechanisms involved in sex determination been elucidated for a few plant species [39,40,41,42,43,44,45]. For the amaranths, previous work on dioecy confirmed males of A. tuberculatus and A. palmeri are heterogametic and, thus, have an XY sex chromosome system [23, 46]. The male-specific region of the Y (MSY) for both species were subsequently identified, spanning a ~ 1.3-Mb region with 121 gene models for A. palmeri while several contigs with a total length of 4.6 Mb and containing 147 gene models were identified for the A. tuberculatus MSY region [23, 24, 47]. Lack of synteny between the MSY regions of both species [23, 24], and the clustering of A. palmeri with monoecious species in the nuclear tree from Waselkov et al.’s phylogeny , led Montgomery et al.  to infer that the two species likely evolved dioecy independently. However, the chloroplast tree from the same study that generated the nuclear tree showed a single monophyletic clade for the dioecious Amaranthus species . Simultaneously, Neves et al.  also demonstrated that dioecy in both A. palmeri and A. tuberculatus could be under the control of separate genomic regions. Based on the above evidence, we hypothesize two origins of dioecy: one shared by A. palmeri and A. watsonii and another shared by the remaining dioecious amaranths . While male-specific regions in closely related species could differ in size or content, there is evidence that the same gene(s) or dioecy mechanism could still be recruited across the species .
The objective of this research was to use comparative genomics to investigate dioecy within the Amaranthus genus. We obtained whole-genome sequence from seven dioecious amaranths, and report genome characteristics, transposable element (TE) proliferation patterns, and phylogenomic relationships among the species. We identified genomic regions including candidate genes within A. palmeri and A. tuberculatus MSY region that exhibit male-enriched coverages across other dioecious Amaranthus species and could have roles in sex function. Finally, we elucidated repeat contents for the A. palmeri MSY region to test the hypothesis that typical sex determination regions have suppressed recombination and accumulate repetitive sequences [48,49,50].
Genome size, heterozygosity, and ploidy estimation
We employed k-mer-based tools to estimate genome sizes, heterozygosity, and ploidy for dioecious amaranths (Fig. 1). Estimates of genome sizes using GenomeScope  were 793.3 Mb (A. australis), 702.0 Mb (A. cannabinus), 684.6 Mb (A. greggii), 621.5 Mb (A. acanthochiton), 615.8 Mb (A. tuberculatus), 596.6 Mb (A. floridanus), 563.1 Mb (A. arenicola), 399.9 Mb (A. watsonii), and 374.4 Mb (A. palmeri) (Additional file 2: Fig. S1 – S9). The genome size estimates fall within the confidence bounds of previously reported genome sizes for A. australis (95% CI 735.7–912.8), A. floridanus (95% CI 543.5–772.9), and A. palmeri (95% CI 307.1–536.5) based on flow cytometry while the estimate for A. tuberculatus was 5.6 Mb lower than the lower confidence limit from previous estimate (95% CI 621.4–729.8) . Analysis of raw reads of monoecious species (A. hybridus SRR12075659, A. hypochondriacus SRR2106212, and A. cruentus SRR13980261) also revealed genome size estimates consistent with previous flow cytometry results (Additional file 2: Fig. S10 – S12). The estimate of 398 Mb for A. cruentus reported in Ma et al.  however appears to be underestimated based on our reanalysis. We report a genome size of 489 Mb for the species which is consistent with previous estimates from flow cytometry (Additional file 2: Fig. S12).
CovEST repeats model and FindGSE yielded apparent overestimations of genome sizes for all species while CovEST basic model gave both apparent over and underestimates (Additional file 3: Table S1). CovEST and FindGSE, like GenomeScope, estimate genome characteristics from k-mer frequencies; however, they differ in the distribution or models adopted. GenomeScope fits a non-linear least square to a negative binomial distribution using Levenberg–Marquardt algorithm , CovEST use a Poisson distribution for k-mer abundance spectrum adopting a probabilistic framework , and FindGSE fits k-mer frequencies with a skew normal distribution . It is possible that the distribution or model adopted in fitting k-mer frequencies by CovEST or FindGSE is less suitable considering our k-mer count data, thereby resulting in the inflation of genome sizes. Similar observation where estimates from CovEST Repeat model was higher than estimates from GenomeScope were reported for species of beetles .
Estimates of heterozygosity for A. palmeri (2.72%), A. watsonii (2.07%), and A. arenicola (2.06%) were higher than those of the other species, which ranged from 0.03% for A. cruentus to 1.97% for A. acanthochiton (Additional file 2: Fig. S1 – S12), indicating that high allelic variation could introduce assembly difficulty for some of the species .
We predicted the ploidy level for each of the genomes using Smudgeplot  in order to determine if species were polyploids, which may impact downstream analysis (e.g., reads mapping). All seven of the dioecious species sequenced from this study, including two other dioecious species and monoecious ones, were inferred as diploids. The k-mer coverage (kcov) in GenomeScope plots also corresponds to the haploid k-mer coverage (1n) in Smudgeplot, indicating the accuracy of ploidy prediction (Additional file 2: Fig. S1 – S12). Smudgeplot initially inferred tetraploidy for Amaranthus greggii when it was allowed to automatically detect haploid k-mer coverage at 44, similar to when Smudgeplot originally predicted tetraploidy for the diploid Fragaria iinumae strawberry genome . However, rerunning Smudgeplot with the k-mer coverage from GenomeScope (kcov = 42) and increasing the lower k-mer coverage threshold value, L, to 20 caused it to infer diploidy (Additional file 2: Fig. S7). Nevertheless, the proportion of “AABB” smudge was as high as “AB” smudge for A. greggii relative to other species, indicating higher rates of duplications or paralogs (Additional file 2: Fig. S7).
Transposable element analysis of unassembled Amaranthus genomes
To gain insight into the impact of repetitive elements on genome structure of dioecious Amaranthus species, we subjected subsampled read pairs of the nine dioecious species to RepeatExplorer2 , a graph-based repetitive sequence clustering and characterization tool for Illumina raw reads. Subsampled reads correspond to 0.3X coverage for each genome (see “Methods”). Results of the repeat analysis are presented in Additional file 3: Table S2A.
The total TE content identified in the nine genomes of the dioecious amaranths in RepeatExplorer2 pipeline was less than the total TE content discovered in the genome assemblies of the species, A. hypochondriacus at 51.76% , A. cruentus at 57.7% , A. hybridus at 57.34%, A. palmeri at 56.03%, or A. tuberculatus at 66.06% (Additional file 3: Table S3 – S4). The total composition of TE for A. tuberculatus male genome reported here is similar to the 66.28% reported for a previously assembled female genome of the same species . It is worth mentioning that 57.68% of A. hypochondriacus genome [9.49% copia and 7.88% Ty3] was made up of repetitive elements when the genome was reanalyzed using more recent TE discovery tools (Additional file 3: Table S3). A similar observation was reported for the human genome, where RepeatMasker identified 48% of the genome as TEs, a proportion that further increased to 53% on reanalysis of the genome with the addition of Dfam2.0 database .
Reanalysis of the short reads with dnaPipeTE pipeline and using a species-specific library from A. hypochondriacus identified more proportion of total TEs in the genomes (Additional file 3: Table S2B). Although both dnaPipeTE and RepeatExplorer2 operate on the same principle, dnaPipeTE could annotate a larger fraction of TEs . Our analysis identified the abundance of low copy repeats as a major source of discrepancies between dnaPipeTE and RepeatExplorer2 repeat quantification for the amaranths (Additional file 3: Table S2B, Additional file 4: Fig. S1 – S12). The total TE estimates for A. tuberculatus and A. hybridus using dnaPipeTE were 10% less than the total TE in their genome assemblies (Additional file 3: Table S3). For A. palmeri, A. hypochondriacus, and A. cruentus, differences in total TE between dnaPipeTE and the genome assembly were 19%, 18%, and 22%, respectively.
Despite TEs being underestimated in our study, the dynamics of relative TE accumulation for species within the genus is still interesting. Amaranthus acanthochiton, A. arenicola, A. australis, A. cannabinus, A. floridanus, A. tuberculatus, and A. greggii had more Ty3 element than copia element (Additional file 3: Table S3). This pattern of relative TE composition using raw reads of Amaranthus tuberculatus [6.62% copia and 8.29% Ty3] is similar to TE composition in its assembled genome, where copia elements made up 12.58% while Ty3 elements made up 17.01% of the genome (Additional file 3: Table S3). Amaranthus watsonii, however, had more copia (4.11%) than Ty3 elements (2.71%), similar to A. palmeri (3.46% copia and 2.64% Ty3). The pattern of LTR composition in the unassembled raw reads of A. palmeri is also similar to its genome assembly (9.73% copia and 7.79% Ty3) (Additional file 3: Table S4) and to assembly of other monoecious species, A. hybridus (9.32% copia and 8.66% Ty3; Additional file 3: Table S3), A. cruentus [13.9% copia and 10.5% Ty3; Ma et al. ], or A. hypochondriacus [6.93% copia and 4.81% Ty3; Lightfoot et al. ]. DnaPipeTE, like Repeatexplorer2, also estimated slightly more total repeat composition for A. cannabinus than A. australis despite our previous genome size estimation indicating A. australis genome is larger than that of A. cannabinus. Both species however had the highest genome sizes and highest total TE discovered relative to other dioecious species (Additional file 3: Table S2).
Mash-based phylogenomic analysis
Considering the inconsistent tree topologies observed in previous phylogenetic studies of Amaranthus genus, and to avoid phylogenetic errors or noise that could result from assembling short reads, we investigated relatedness among the sequenced Amaranthus genomes and other members of the order Caryophyllales using an assembly- or alignment-free k-mer approach implemented in Mashtree . As expected, sequenced females from four species included in the tree construction grouped together with their respective males (Fig. 2). Our analysis of genome relatedness showed species clustering corresponding to the three subgenera: Acnida, Amaranthus, and Albersia (Fig. 2), previously recognized based on fruit, bract, and tepal characteristics of pistillate flowers . The Acnida subgenus, which corresponds to the dioecious species, is split into two separate clades in our Mash-based phylogeny (Fig. 2), consistent with the split in previous studies [9, 10]. All dioecious species were placed in one clade, excluding A. palmeri and A. watsonii, which were placed with monoecious species in the subgenus Amaranthus. Although the Dioecious/Pumilus clade in Waselkov et al.’s  nuclear phylogeny is congruent with our Mash-based phylogeny, only the sister-species relationships between A. australis and A. cannabinus and between A. palmeri and A. watsonii were supported in our analysis. Amaranthus tuberculatus was more closely related to A. floridanus than to other dioecious species in our study, similar to Stetter and Schmid , while A. arenicola was more related to A. greggii.
The clustering of A. caudatus, A. quitensis, A. hybridus, A. hypochondriacus, and A. cruentus was consistent with previous tree topologies based on chloroplast markers  or biallelic SNPs . We recovered the same relationships among the five monoecious species reported in Xu and Sun’s study , which was based on combined AFLP and ISSR datasets. Moreover, the genetic similarity between A. quitensis and A. caudatus has been suggested to be due to gene flow because the former was often found in A. caudatus fields [1, 10].
It is worth mentioning that organellar DNA has been demonstrated not to impact Mash-based phylogeny construction in previous studies, being that their high copy numbers are not represented among low-frequency k-mers used in Mash phylogeny . Although assembly- or alignment-free k-mer-based methods are optimal in analysis of genome relatedness, they are not without cons in that they are based on assumptions that do not model complex evolutionary processes . A single value is computed as distance per pair of species, and therefore conclusions on the contribution of specific genomic regions to species divergence are difficult to obtain. Moreover, low-depth coverage, variation in library sizes, or missing data could impact the accuracy of MinHash methods whereby distances deviate from true genetic distances . While we did not set out to evaluate these sources of bias, we note that A. hypochondriacus, A. caudatus, A. quitensis, and B. vulgaris short reads from the NCBI database had 96, 98, 100, and 124 bp read lengths, respectively, compared to > 130 bp read lengths for other species. Nevertheless, Mash accurately recovered Sauer’s taxonomic ordering of the dioecious amaranths  as well as the relationships among monoecious species in the subgenus Amaranthus, demonstrating the robustness of Mash in our study.
Also intriguing is the relationship between species clustering from our Mash-based phylogeny and the total TE composition from our dnaPipeTE repeats analysis. Amaranthus cannabinus and A. australis (60.67% and 60.48%, respectively) had a higher total TE composition than A. tuberculatus and A. floridanus (56.4% and 54.2%, respectively), followed by A. acanthochiton, A. arenicola, and A. greggii, which were all similar in their total TE composition (51.79%, 53.02%, and 52.84%, respectively) and A. watsonii and A. palmeri, which had the least TE compositions (44.03% and 37.02%, respectively).
Whole-sequence alignments and coverage analysis of Amaranthus palmeri and Amaranthus tuberculatus male-specific regions of the Y
Mapping of Illumina paired-end short reads of sequenced dioecious Amaranthus species to draft genomes of both A. tuberculatus and A. palmeri showed differences in read alignment (Additional file 3: Table S5 – S6). As expected, A. tuberculatus reads mapped back to its genome assembly had > 90% reads in proper pairs (Additional file 3: Table S5). Although > 90% of A. palmeri reads mapped to its genome assembly, only 77% reads were in proper pairs (Additional file 3: Table S6). Five species, A. acanthochiton, A. arenicola, A. australis, A. cannabinus, and A. floridanus, had > 70% of paired reads in proper pairs when mapped to A. tuberculatus genome while A. watsonii had < 67% of paired reads in proper pairs (Additional file 3: Table S5). However, when the short-read sequences were mapped to A. palmeri genome, the five species that mapped well to A. tuberculatus had < 63% of paired reads in proper pairs, while A. watsonii had > 75% of its paired reads in proper pairs (Additional file 3: Table S6). Amaranthus greggii, however, had < 66% of its paired reads in proper pairs when mapped to either A. tuberculatus or A. palmeri draft genomes, perhaps due to its high level of paralogy (discussed above). Structural differences or sequence divergence among the species could have resulted in non-proper pairing of reads for the six genomes when mapped to A. palmeri genome. Amaranthus watsonii, based on previous phylogenetic studies, including our Mash-based phylogeny, was closely related to A. palmeri , which is congruent with our mapping results.
Coverage analysis for sequenced reads mapped to the A. palmeri genome revealed male- or female-enriched regions across the genome (Fig. 3A, Additional file 5: Table S1 – S4). Only A. watsonii mapped reads showed regions with significant spans of male-enriched coverages (Fig. 3A, Additional file 5: Table S4). A total of 84 scaffolds had regions exhibiting male-enriched coverages for A. watsonii mapped reads, in which 29 were reported in Neves et al.  and 13 were reported in Montgomery et al. . It is worth mentioning that all the male-specific scaffolds reported by Montgomery et al. were among the 42 scaffolds reported by Neves et al. The MSY region of A. palmeri was previously identified to span a region of ~ 1.3 Mb on scaffold 20 (503,282–1,770,936 bp), with 121 candidate gene models within the region [23, 24]. Consistent with the two prior studies, scaffold 20 (MSY region) had the highest window and largest bases spanned for male-enriched coverages in our analysis (Fig. 3A, Additional file 5: Table S4). A total of 101 scaffolds had regions with female-enriched coverages, however, several of the scaffolds that were female-enriched were among those exhibiting male-enriched coverages (Additional file 5: Table S4, Additional file 6: Fig. S1). Interestingly, scaffold 19 exhibited significant spans of female-enrichment. Scaffold 19 is 2.23 Mb in length and contains 115 predicted gene models, including pentatricopeptide repeat-containing protein (PPR), serine/arginine-rich splicing factor, and several proteins of unknown function (Additional file 6: Fig. S2). It is worth noting that scaffolds with enrichment more than scaffolds 19 or 20 have shorter lengths (< 200 kb) relative to both scaffolds. Mapped reads of the other three species from both male and female individuals showed no contiguous region was significantly enriched for male or female coverages (Fig. 3A). The fact that some A. watsonii female reads also mapped within the MSY region on scaffold 20 suggest that the region is not entirely male-specific, and some portions could be part of the pseudo-autosomal region (PAR) that is still recombining with the X chromosome (Fig. 3B, C).
We identified 11 sex-linked genes with a combined length of 21,680 bp (~ 22 kb) exhibiting male-enriched coverage for A. watsonii reads that mapped to the A. palmeri MSY region (Additional file 7: Table S1). Only three of these genes had informative annotations, one each as pentatricopeptide repeat-containing protein (PPR), serine/arginine-rich splicing factor, and magnesium protoporphyrin IX methyltransferase. A BLAST search of the remaining 8 genes to the non-redundant protein database on NCBI showed two genes, g4825 and g4829, matched to Zinc finger CCHC-type (Artemisia annua L.) and serine/arginine-rich splicing factor (Arachis hypogea L.) homologs, respectively, while the remaining 6 genes matched to uncharacterized proteins or had no similarity matches. The PPR gene within the sex-determining region was particularly interesting in that six of its seven exons had male-enriched coverages for A. watsonii mapped reads, while the three other species had reads from both male and female individuals mapped to the gene (Fig. 3B).
To identify regions within A. tuberculatus genome assembly with male- or female-enriched coverages, we included the short reads of female individual of three species, A. acanthochiton, A. cannabinus, and A. greggii, in addition to A. watsonii, in that they were farther away from A. tuberculatus based on Waselkov et al.’s phylogeny . We reasoned that gene(s) crucial for sex functions should be conserved across species sharing a common dioecy evolutionary event and, therefore, including the most distally related species would identify the most crucial genes. We included previously sequenced short reads of two males and two females of A. tuberculatus from Kreiner et al. , which were sequenced to 10 × depth.
Among the previously reported MSY contigs, a few were found to exhibit male-enriched coverages for only some species (Fig. 4A). For example, contig 00,001,274 had male-enriched coverages for A. cannabinus, A. greggii, and A. tuberculatus, contig 0,000,298 had male-enriched coverages for A. greggii and A. tuberculatus, and contig 00,100,752 had male-enriched coverage for A. cannabinus, A. greggii, and A. tuberculatus, although variation existed in the length of bases spanned for the coverages (Additional file 5: Table S5 – S10). Only contig 00,004,323 had male-enriched coverages for all 5 species, while contigs 00,000,336, 00,000,340, 00,003,161, 00,004,353, and 00,100,771 were not enriched for either male- or female-specific coverages for any species. As expected, A. tuberculatus had the most significantly enriched contigs (Fig. 4B) and the highest number of contigs (~ 300) for both male- and female-enriched regions, while A. watsonii mapped reads had the least number of contigs for male- and female-enriched regions (Fig. 4C). Interestingly, contigs 0,000,298, 00,001,274, 00,001,293, and 00,001,713, which were previously identified as male-specific, had no female-enriched coverages (Additional file 5: Table S5 – S10).
A 200-bp FLOWERING LOCUS T (FT) on contig 00,000,542 identified as one of the MSY genes in Montgomery et al.  was also found to exhibit male-enriched coverages across A. acanthochiton, A. cannabinus, A. greggii, and A. tuberculatus while reads from A. watsonii did not map to the FT gene (Additional file 6: Fig. S3). The gene next to the 200 bp FT, although annotated as “unknown,” also showed male-enriched coverage across the three species, including A. tuberculatus (Additional file 6: Fig. S3) and had its second and longest exon (14,302–14,525 bp) match to predicted Beta vulgaris subsp. vulgaris Heading date 3a (LOC104890180) with 84% homology. The 200 bp FT also matched to the same Heading date 3a locus, but at a different position, and thus we consider this second fragment part of the FT gene. In total, there are 4 exons of the Heading date 3a in Beta vulgaris compared to the two fragments, one with one exon and the other with two exons, in the A. tuberculatus contig assembly at this locus.
Transcription factors and repetitive elements within Amaranthus palmeri male-specific region of the Y
Transcription factors (TF) have been implicated in sex functions in flowering plants; however, only a few gene models out of the 121 gene models within the A. palmeri MSY region had informative annotation. To therefore identify any transcription factors with potential sex functions among the gene models, a reference plant TF and transcriptional regulator categorization tool, PlantTFcat  was used for TF prediction. Seven transcription factors from three family types and four families, one of which was LBD, were identified (Additional file 7: Table S2). The TF families with the highest number of genes predicted from the analysis was CCHC(Zn) with 4 genes, followed by one gene each for ASL-LOB, BED-type(Zn), and GRF (Additional file 7: Table S2). These transcription factors are multifunctional or involved in several processes, including epithelial development, cell adhesion, leaf development, or overall plant growth and development [68,69,70].
Additional characterization of the ~ 1.3 Mb MSY region of A. palmeri for transposable elements revealed consistency with a typical sex determination region, with the accumulation of repetitive sequences and the presence of predominantly male-specific sequences [36, 48, 50]. The MSY region was made up of 78.49% repetitive elements (Additional file 3: Table S4). The long interspersed nuclear elements (LINE/L1) made up the highest composition at 19.13%, followed by copia and Ty3 at 15.64% and 12.91%, respectively. The proportion of repeats within the MSY region is higher relative to the entire A. palmeri genome (56.03%), indicating that this region has indeed accrued repetitive elements during its evolution. The composition of repeats within this region is also consistent with other studies, e.g., 76.9% of the 1.5 Mb Mercurialis annua SDR is made up of repeats, and LTRs were most abundant . Similarly, 77% of the 8.1 Mb Carica papaya hermaphroditic specific Y region (HSY) is made up of repeats with Ty3 being most abundant .
We inferred genome characteristics and shallow relationships and gained further understanding of conserved genomic regions with potential roles in sex function among dioecious Amaranthus species using comparative genomics. Genome size, repeat proportion, heterozygosity, polyploidy, and GC content are documented genome characteristics that could influence de novo assembly quality [56, 73, 74], and thus genome profiling provides valuable consideration towards a high-quality assembly. k-mer analysis of genome sizes for the dioecious Amaranthus species were generally consistent with estimates from flow cytometry for previously reported species . Heterozygosity estimates differed across species; although such differences might be species specific, they also could reflect differences due to accessions used, and the number of crosses made to propagate the accessions. Ploidy inference analysis also affirms the previously reported diploid state of the species sequenced in this study . The entire Amaranthus genus has been hypothesized to be a paleoallotetraploid [1, 75, 76]; however, Amaranthus dubius Mart. Ex Thell. is the only known extant allotetraploid (2n = 64) species, with others being diploid (2n = 32 or 34). Although, diploidy was inferred for A. greggii, the higher number of duplicated sequences or paralogs suggests a possible pre- or post-speciation event could have led to the retention of the sequences.
Repeats analysis revealed transposable elements contributing to genome structure differences in dioecious amaranths. The long terminal repeats (LTRs) proliferation and their elimination is the primary mechanism contributing to genome size variation in dioecious Amaranthus species. There is a well-established correlation between genome size and LTR element abundance [77, 78]; however, it is intriguing that the LTR superfamily copia element was more abundant than the Ty3 element for two dioecious species, A. palmeri and A. watsonii, similar to the pattern for some monoecious Amaranthus species. It is possible that the removal of the LTR elements via ectopic recombination differs between the dioecious and monoecious species [78, 79]. The mechanistic process involved in such differential LTR removal however remains elusive. The similar TE pattern between A. palmeri-A. watsonii and monoecious species is congruent with other studies that have shown some relationships between the two species and the monoecious species [10, 80, 81]. Franssen et al.  also suggested that the pollen of A. palmeri was less similar to that of the other dioecious Amaranthus species sampled (A. tuberculatus and A. arenicola), and more closely resembled pollen of the monoecious species.
Our complementary repeat discovery methods whereby we analyzed and compared TEs in genome assemblies to TEs from short reads allowed us to identify the abundance of low copy repeats for the amaranths. Various families of transposable elements are known to exist in high copy numbers in the plant genome , and repeat discovery tools could identify these high or medium copy repeats . However, it is nontrivial to estimate absolute repeat composition of plant genomes using short-read sequences, and methods relying only on raw reads for genomes with low copy repeats return lower TE contents [60, 85]. Other factors that could result in TE underestimation include short insert size library, novel or diverged repeats in species of interest relative to the annotation database from other species, and difficulty in detecting nested repeats with short reads. Given the analysis of TEs in genome assemblies from our study and the literature, we hypothesize that the composition of TEs in the amaranths ranges from 55 to 75% of the genome. Overall, our findings are congruent with other studies demonstrating the contribution of specific TEs (e.g., LTRs) in genome size variation within a genus, such as in Oryza spp. .
Interestingly, our phylogenomic analysis of genome relatedness appears to be highly consistent with the early taxonomic works of Jonathan D. Sauer on dioecious amaranths based on comparative morphology and the species’ geographic distributions [2, 3, 33]. For example, A. arenicola is closely related to A. greggii based on morphology and their proximity around the tropical Gulf coast  while A. watsonii and A. palmeri share an overlapping range, with the former sometimes confused for A. palmeri . The sympatry of A. australis (southern water hemp) and A. cannabinus (eastern water hemp) was also reported, with both species having similar habitat requirements (e.g., salty and fresh water tolerance, and both found in wet sand of coastal marshes) . Of keen interest is the relationship between A. tuberculatus and A. floridanus in our study, the former being noxious and expands rapidly while the latter is restricted to Florida. The close relationship between both species was also previously established using biallelic SNPs data in SNAPP . Amaranthus tuberculatus however has been previously suggested to be more related to A. arenicola than many other Amaranthus species based on morphology [10, 65]. The higher number of hybrids between A. tuberculatus and A. arenicola and the limited habitat data for A. floridanus, as well as limited to no herbarium collections documenting hybrids between A. tuberculatus and A. floridanus could have led to the suggestion of their relationships . Mash-based phylogeny have been shown to be robust in species relationship inference with Wascher et al.  using it to trace the domestication of cultivated sugar beet to wild relatives in Greece. Similarly, Mash recovered accurate cladograms for polyploid species, where assembly- or alignment-based approaches would have been intractable .
Furthermore, our analysis identified regions within the A. palmeri genome assembly that are male-enriched, congruent with male-specific scaffolds that were previously reported [23, 24]. We also found scaffold 19 exhibited female-enriched coverages, thus indicating that the scaffold could be part of the X chromosome. Several candidate genes exhibiting male-enriched coverages, including pentatricopeptide repeat-containing protein (PPR) and serine/arginine-rich splicing factor (SC35) were identified within the A. palmeri MSY region. Although the genes have no known direct links to sex determination in flowering or dioecious plants, they have been reported to play some roles in sex functions. PPRs act as restorers of fertility (Rf), i.e., restore partial or normal pollen production to plants via suppression of the cytoplasmic male sterility (CMS) locus [87, 88]. In radish, the PPR gene, Rfo, was found to restore fertility by specifically downregulating the expression of the CMS locus, orf138, in the tapetum of anthers . Whether the PPR within A. palmeri MSY carries any restoration activity, i.e., has a post-transcriptional action on mitochondrial gene expression, is not known. Recently, a PPR was reported as one of the SDR genes in the gymnosperm plant, Gingko biloba . Sex-linked genes in other dioecious plant species have been shown to exhibit male-specific coverages within the sex-determining regions, e.g., the sex-determinant factors, SOFF in garden asparagus (Asparagus officinalis L.) , SyGI and FrBy in kiwifruit (Actinidia sp)  and NRT1/PTR6.4 in spinach (Spinacea oleracea L.) . For A. tuberculatus MSY contigs, we identified several contigs with male-enriched coverages, in which four had no female-enriched coverages for all species. However, only a previously identified FLOWERING LOCUS T (FT) gene had male-specific coverage for mapped reads of three species, but not for A. watsonii, indicating the conservation of the FT gene and its possible role in conferring male fitness as previously hypothesized . The difference in mapping pattern between A. watsonii and the three other dioecious species is consistent with our hypothesis of a different dioecy evolutionary event in A. watsonii and A. palmeri relative to the other dioecious amaranths.
Implications for dioecy evolution within the Amaranthus genus
An open question with regard to dioecy within the Amaranthus genus has been the evolution of dioecy and the mechanisms involved, and if these could be explained with existing models [36, 92,93,94,95]. The phylogenetic study of Amaranthus from Waselkov et al.  included 58 out of 74 species with all nine dioecious species and is also rooted, providing directionality in ancestry relationship. The Dioecious/Pumilus clade and the Hybridus clade (monoecious) from the study shared a recent common ancestor (Bayesian posterior probability value of 1 and bootstrap support value of 99). Both clades then shared a recent common ancestor with the Galapagos clade, in which all species are monoecious. Although the nuclear-based and the chloroplast-based trees from the study were discordant, characterized by occasional polytomies, less supported nodes, or poorly resolved clades, dioecy within the genus appeared to have originated from a monoecious ancestor.
The Amaranthus genus has been shown to be closely related to Chamissoa altissima (Jacq.) Kunth , which is hermaphroditic . A maximum-likelihood phylogeny of Amaranthaceae family constructed from 936-nuclear gene supermatrix also showed monophyly of Amaranthoids and Celosioids . The Amaranthoids are characterized by their unisexual flowers while Celosia argentea, a member of the Celosioids, has bisexual flowers, indicating the possibility of a hermaphroditic ancestor in the evolution of the Amaranthus genus.
It is unclear how dioecy evolved in the genus, whether via hermaphroditism-gynodioecy/androdioecy-dioecy pathway , via monoecy-paradioecy-dioecy pathway [93,94,95, 98], or via an environmentally/physiologically induced mechanism [36, 99, 100]. The origin of dioecy evolution has implications for what mechanisms could be involved in dioecy. Species evolving dioecy via a hermaphroditism-gynodioecy/androdioecy-dioecy pathway have two sex-determinant factors or genes (female suppressor and male activator) that are linked within a region of suppressed recombination on the Y chromosome (MSY or SDR region), which has been observed in Asparagus officinalis [41, 91] and Actinidia spp [40, 101]. However, species evolving dioecy from hermaphroditism through monoecious populations could utilize a single gene for sex determination, which has been observed in Diospyros lotus . The Amaranthus genus is made up of 74 species, 9 of which are dioecious while others are monoecious [2, 3, 102, 103], primarily wind-pollinated [28, 76, 104], and no evidence of gynodioecy within the genus points to a likely evolution of dioecy from monoecy. The presence of species with bisexual flowers at the subfamily level (Amaranthoideae) suggests monoecy could have arisen from an ancestral hermaphroditic population, giving rise to a hermaphroditism-monoecy-dioecy pathway [36, 105].
If this is the case, a single gene could thus be sufficient for sex determination in dioecious species of the Amaranthus genus. Sex determination in spinach was recently proposed to be controlled by a single gene, NRT1/PTR6.4 (transporter of nitrate, peptide or hormones), utilizing two pathways for carpel development suppression and stamen initiation . Although the subfamilies Amaranthoideae (Amaranthus genus) and Chenopodoideae (Spinacia genus) are in the family Amaranthaceae, comprehensive phylogenetic studies have not shown a convincing support for their relationship [15, 106]. A BLAST search of the spinach NRT1/PTR6.4 against A. palmeri, A. tuberculatus, or A. hypochondriacus on CoGe  revealed no orthologs in the amaranths, indicating that Spinacea and Amaranthus lineage evolved dioecy independently and utilize separate dioecy mechanisms.
Based on our whole-genome analysis of relatedness and other evidence from this study, A. palmeri and A. watsonii are closely related and likely utilize a similar dioecy mechanism. The other dioecious species form subclades (e.g., close relationship between Amaranthus tuberculatus and A. floridanus, A. cannabinus and A. australis and A. arenicola and A. greggii) within a larger clade. Whether species within this clade and the A. palmeri-A. watsonii cluster evolved dioecy independently but still recruited the same gene(s) or pathways for such independent evolution is unclear [24, 43]. The availability of chromosome-scale reference genome assemblies and genetic maps for the species will allow further characterization of their sex chromosomes.
We report genome characteristics, including size, heterozygosity, and ploidy for seven newly sequenced dioecious species within the Amaranthus genus. Although our transposable element analysis does not capture the full suite of repetitive elements in the respective genomes, it offered a new view of TE dynamics among the dioecious Amaranthus species, especially for the species with no high-quality reference or even draft genomes. Furthermore, a pattern of TE proliferation is emerging in the genus, in which some dioecious species have a higher proportion of Ty3 than copia elements, but the reverse is the case for A. palmeri, A. watsonii, and some monoecious species. It is unclear what the “correct” topology for dioecious species relationship is within the Amaranthus genus. Nevertheless, we provide additional evidence supporting early taxonomic relationships among the dioecious Amaranthus species based on comparative morphology, i.e., close relationship between A. palmeri and A. watsonii, A. australis and A. cannabinus, and A. tuberculatus and A. floridanus, as well as their relationship to the monoecious species in the subgenus Amaranthus. We report 11 gene models, including a pentatricopeptide repeat-containing protein and serine/arginine-rich splicing factor within the A. palmeri MSY region that also exhibit male-specific coverages for A. watsonii. In addition, a previously reported FT within an A. tuberculatus MSY contig was found to exhibit male-specific coverage for three species but not for A. watsonii. Overall, our findings support the previous hypothesis that dioecy evolved separately in A. tuberculatus and A. palmeri.
Plant material, DNA extraction, and Illumina sequencing
Accessions of seven dioecious amaranths were obtained from USDA Germplasm Resources Information Network (GRIN) (Additional file 1: Table S1). Voucher specimens of all accessions sequenced in this study can be found at the Illinois Natural History Survey (ILLS) Herbarium at the University of Illinois Robert A. Evers Laboratory. Voucher barcodes are included in Additional file 1: Table S1. Seeds were grown in containers filled with a growing media that included Sunshine LC1 (Sun Gro Horticulture, 770 Silver Street Agawam, MA) growing mix, soil, peat, and torpedo sand (3:1:1:1 by weight). Two or three young leaves were harvested from each species following flower formation and visual identification of gender. Leaf tissues collected were frozen in liquid nitrogen and stored in − 80 °C pending DNA extraction. Genomic DNA was extracted from one male of each species and from one female each of A. acanthochiton, A. cannabinus, A. greggii, and A. watsonii following standard CTAB protocol . DNA integrity was determined using a spectrophotometer (Nanodrop1000 Spectrophotometer, Thermo Fisher Scientific, 81 Wyman Street, Waltham, MA 02,451) and by resolving the DNA on 1% agarose gel by electrophoresis. The absence of band shearing or smearing indicated high molecular weight DNA with sufficient purity and quality required for sequencing. The eleven DNA samples were submitted to the Roy J. Carver Biotechnology Center at the University of Illinois, Urbana–Champaign for sequencing. Shotgun genomic libraries were prepared with Hyper Library construction kit from Kapa Biosystems (Roche, Basel, Switzerland), and the libraries were size selected, pooled, quantitated by qPCR, and paired-end sequenced (2 × 150 bp) on one S4 lane for 151 cycles on Illumina NovaSeq6000. Sequences of seventeen other species belonging to either the Amaranthus genus or broadly a member of the family Amaranthaceae were downloaded from the NCBI database. Sequencing platforms for these genomes varied from Illumina Hiseq 2500 to Novaseq 6000 (Additional file 1: Table S1).
Genome size, heterozygosity, and ploidy analysis
The genome sizes for the species sequenced were estimated with GenomeScope v2.0 [Ranallo-Benavidez et al. ; https://github.com/tbenavi1/genomescope2.0]. A k-mer length, k, of 21 was chosen for genome size estimation based on the recommendations from the authors, which was seen as a balance between speed of computation and accuracy. K-mer frequencies were generated from the adapter trimmed Illumina sequences for each of the nine dioecious amaranth species with Jellyfish v2.3.0  using parameters: count -C -m 21 -s 3G -t 6 /dev/fd/0 -o output_reads.jf, and histograms of k-mer frequencies were obtained using the “histo” sub-command and –high = 1,000,000 flag. Genome sizes were then estimated from the histograms using GenomeScope v2.0 with parameters: -i reads.histo -o output_dir -k 21 -m 1,000,000. The k-mer histograms obtained from previous steps were further analyzed with two k-mer-based tools, CovEST v0.5.6 [ ; https://github.com/mhozza/covest] and FindGSE [ ; https://github.com/schneebergerlab/findGSE]. We used both the “basic” and “repeats” model of CovEST with default parameters, except -r 150. The “basic” model is for simple genomes without repeats; however, species of the Amaranthus genus have been shown to be made of at least 50% repetitive elements [52, 58]. Moreover, the “repeats” model is error-aware, accounts for repeat structures, and performs well on data with low sequencing coverage .
The ploidy levels for each of the genomes were also estimated using Smudgeplot v0.2.3 [ ; https://github.com/KamilSJaron/smudgeplot]. K-mer frequencies were first generated using KMC v3.1.1 [ ; https://github.com/tbenavi1/KMC] with parameters: -k21 -t10 -m30 -ci1 -cs10000 @FILES kmer_counts tmp and then converted to k-mer frequency histogram using parameters: kmc_tools transform kmcdb histogram species_k21.hist -cx10000. “FILES” contain the raw read names for forward and reverse reads. The “smudgeplot.py cutoff species_k21.hist L/U” was then used to estimate k-mer coverage thresholds from the histogram file. K-mers in the coverage range from L to U were extracted with the command “kmc_tools transform,” and smudge_pairs command was used to reduce the file to compute set of k-mer pairs. The smudgeplots showing proposed ploidy for each of the genomes were then generated with coverages of identified k-mer pairs (i.e., species_coverages.tsv file) using “smudgeplot.py plot” command. Haploid k-mer coverages were estimated directly from the histogram generated by KMC, rather than supplied from GenomeScope output.
Transposable element analysis of unassembled Amaranthus genomes
We analyzed repetitive elements in the unassembled Illumina raw reads from males of sequenced dioecious Amaranthus species using a similarity-based clustering tool, RepeatExplorer2 on a dedicated cloud galaxy instance [57, 111] (https://repeatexplorer-elixir.cerit-sc.cz/galaxy). The sex of A. palmeri was unidentified by the authors in their study ; however, we included the raw reads sequence for comparison. A recommendation from authors of RepeatExplorer2 is that coverage greater than 1 × be avoided while coverage between 0.1 and 0.5 × is optimal. We therefore subsampled all reads to 0.3 × with rasusa v0.6.1  (https://github.com/mbhall88/rasusa) using parameters: -i r1.fq -i r2.fq –coverage 0.3 –genome-size estimated-genomesize-from-genomescope -o out.r1.fq -o out.r2.fq -s 15. For each species: 1,263,202 (A. acanthochiton), 1,142,178 (A. arenicola), 1,739,786 (A. australis), 1,424,616 (A. cannabinus), 1,212,116 (A. floridanus), 1,237,964 (A. tuberculatus), 1,394,368 (A. greggii), 806,748 (A. watsonii), and 910,966 (A. palmeri) read pairs were kept after subsampling. Reads of A. hybridus (894,080), A. hypochondriacus(1,279,884), and A. cruentus (979,906) subsampled to 0.3 × were also included for comparisons. The FastQ read pairs for each species were quality filtered and interleaved with “Preprocessing of FASTQ paired-end reads” tool in RepeatExplorer Utilities on the galaxy instance. The interleaved reads were then analyzed for repeats with RepeatExplorer2 clustering tool using default parameters. The clusters of repeats within each supercluster were manually inspected to ensure accuracy of the automated repeat prediction. Repeat proportions from the curated cluster table were then estimated using the “Repeat proportions from CLUSTER_TABLE” tool also on the galaxy instance.
We complemented our repeat discovery approach using dnaPipeTE v1.3.1 . First, we constructed a representative repeat library for the amaranths from the genome of A. hypochondriacus . De novo identification of species-specific repeats in the genome was carried out with RepeatModeler v2.0.2 using default parameters . A curated RepBase database (RepeatmaskerEdition-20181026)  was combined with RepeatMasker default Dfam3.2 database, and “famdby.py” utility was used to query the combined database to obtain a library of “viridiplantae” repeats with parameters: -i RepeatMaskerLib.h5 families –format fasta_name –include-class-in-name –ancestors –descendants “viridiplantae.” We performed additional LTR structural analysis using LTR_retriever pipeline , first by analyzing the genome with LTR_harvest  from genometools v1.6.0 using the parameters: -minlenltr 100 -maxlenltr 7000 -mintsd 4 -maxtsd 6 -motif TGCA -motifmis 1 -similar 85 -vic 10 -seed 20 -seqids yes, and then through LTR_FINDER_parallel  using default parameters. Output from both LTR_harvest and LTR_FINDER_parallel were concatenated and analyzed with LTR_retriever v2.9.0 to obtain a non-redundant LTR library using default parameters . The non-redundant LTR library was then merged with “viridiplantae” repeats and the species-specific consensus library of repeats. To reduce redundancy, the final repeat library was clustered using CD-HIT-EST v4.6  with parameters: -c 0.8 -G 1 -s 0.9 -aL 0.8 -aS 0.8 -M 5000 -T 6 -i. The repeat library was then used with dnaPipeTE for repeat discovery in each species using parameters: -RM_lib repeat library -genome_size estimated-genome-size-from-genomescope -genome_coverage 0.3 and other parameters default. Prior to repeat analysis with dnaPipeTE, we first mapped the raw reads of each species to A. hypochondriacus chloroplast genome (GenBank accession number KX279888) , and subsequently to Beta vulgaris mitochondrial genome (GenBank accession number BA000009)  using Bowtie v2.4.4  while keeping only non-aligned reads with parameters: -p 32 -X 1000 –un-conc. This step was taken to avoid the assembly of organellar DNA into contigs that could spuriously be annotated as repeats.
For TE quantification in available Amaranthus genome assemblies, we constructed species-specific libraries for each of the species following the method described previously. Final curated libraries were then used to analyze and annotate repeats in the genomes using RepeatMasker v4.1.2-p1 (http://www.repeatmasker.org/RepeatMasker/) with default parameters.
Mash-based whole-genome phylogenetic analysis
Quality of the Illumina raw reads obtained from 17 species in the NCBI database was accessed with FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) and aggregated with MultiQC v1.5 . Low-quality bases and adapters were then removed with Trimmomatic  using parameters: ILLUMINACLIP:TruSeq3-PE.fa:2:30:10:2:True LEADING:3 TRAILING:3 MINLEN:36. Chenopodium quinoa raw reads (Project number PRJNA821252) had Nextera adapter sequences and were thus removed using parameters: ILLUMINACLIP:NexteraPE-PE.fa:2:30:10:2:True LEADING:3 TRAILING:3 MINLEN:36. To then determine relatedness among the seven sequenced dioecious Amaranthus genomes in this study and the 17 other species from the public repository, we used an assembly/alignment-free tool, Mashtree v1.2.0 with the following parameters: –mindepth 0 –numcpus 6 *FORWARD.fastq.gz > mashtree.dnd . Mashtree handles only single reads; therefore, we used only forward reads from the paired read sequences. We included the female reads of four species (A. acanthochiton, A. cannabinus, A. greggii, and A. watsonii) to ascertain the robustness of the alignment-free approach in that males are expected to cluster with the respective females of the species. Mashtree uses a k-mer strategy in a two-step approach, first adopting the MinHash algorithm of Mash to create genome sketches , and second using the sketches to determine distances between genomes as a pairwise distance matrix, which is subsequently used to build a neighbor-joining tree in QuickTree . The output tree (.dnd) from Mashtree was visualized and annotated with FigTree v1.4.4 (https://github.com/rambaut/figtree).
Whole-sequence alignments and coverage analysis of Amaranthus palmeri and Amaranthus tuberculatus male-specific region of the Y
Demultiplexing of Fastq raw reads was carried out with Illumina bcl2fastq v2.20 Conversion Software, and quality control, including adapter trimming from the reads, was carried out by the sequencing facility. A total of ~ 6.23 Gb of raw reads were obtained corresponding to 528,703,130 (A. acanthochiton female, 127 × genome coverage), 604,304,170 (A. acanthochiton male, 145 ×), 533,480,886 (A. arenicola male, 142 ×), 642,410,494 (A. australis male, 121 ×), 676,006,832 (A. cannabinus female, 144 ×), 592,414,420 (A. cannabinus male, 126 ×), 572,691,874 (A. floridanus male, 143 ×), 540,070,720 (A. greggii female, 118 ×), 525,935,576 (A. greggii male, 115 ×), 489,955,162 (A. watsonii female, 183 ×), and 525,324,158 (A. watsonii male, 197 ×) read pairs. The quality of reads for A. palmeri and A. tuberculatus obtained from the NCBI database was accessed as previously described.
All reads (seven males and four females) were then mapped to the A. palmeri and A. tuberculatus draft genomes  with BWA-MEM v0.7.5 using default settings . The tool “fixmate” within SAMtools v1.14 was used to fill mate coordinates and insert size fields , and duplicates in the read alignments were marked with Picard v2.26.9 (http://broadinstitute.github.io/picard/). SAMtools flagstat was then used to compute overall summary statistics of read alignment. Alignment files for each species were filtered with SAMtools to remove reads with mapping quality (MAPQ) < 5, alternative hits (tag XA:Z), and supplementary alignments (tag SA:Z). Coverage analysis was then carried out with the filtered alignments using DifCover [128, 129], which puts into consideration the modal coverage of male and female samples for depth normalization and also accounts for problematic region such as highly repetitive regions or gaps. DifCover was recently implemented in a computational workflow (SexFindR) that identifies sex chromosomal regions . The estimated genome-wide coverages represented as the ratio of log2 male-to-female reads mapped to both A. palmeri and A. tuberculatus genome assemblies were then plotted with the R packages tidyverse  and ggpubr (https://github.com/kassambara/ggpubr).
Additionally, read coverages for scaffold 20, the location of the A. palmeri MSY region, were calculated and normalized from the filtered alignments using bamCoverage v3.5.1  with parameters: -b input.bam -o output_cov -of bigwig -bs 20 -r region-of-interest –effectiveGenomeSize estimated-genome-size-from-genomescope –normalizeUsing RPGC –smoothLength 60 –extendReads 150 –ignoreDuplicates –exactScaling -p 5. Coverages and gene annotations were then plotted and visualized using rtracklayer v1.54.0 , GenomicFeatures v1.46.5 , and Gviz v1.38.3  in R v4.1.2 .
We also accessed the presence of NRT1/PTR6.4 recently proposed as a sex determinant in spinach  in the genomes of A. hypochondriacus, A. palmeri, and A. tuberculatus genomes using a BLAST search on CoGE . Although both spinach (subfamily Chenopodoideae) and amaranth (subfamily Amaranthoideae) lineages are paraphyletic from previous phylogeny [15, 106], our hypothesis that the gene could be present in the amaranths was informed by the two lineages belonging to the family Amaranthaceae and show some relationships in the previous trees.
Transcription factors and repetitive elements within Amaranthus palmeri male-specific region of the Y
Identification of transcription factors among candidate gene models within the A. palmeri MSY region was carried out using PlantTFcat . A custom repeat library for A. palmeri genome  was also prepared as previously described for the A. hypochondriacus genome. The library of repeats was then used to analyze and annotate repetitive elements within the MSY region of A. palmeri using RepeatMasker v4.1.2-p1 with default parameters.
Availability of data and materials
Raw reads data generated or analyzed in this study are available through the National Center for Biotechnology Information (NCBI) under project number PRJNA836903 . Additional datasets, including cluster table of repeats from RepeatExplorer2, Mash distance matrix, Mashtree tree (.dnd), and R scripts used in the analyses are available on figshare https://doi.org/10.6084/m9.figshare.19735501.
Amplified fragment length polymorphism
Comparative genomics platform
European and Mediterranean Plant Protection Organization
Inter simple sequence repeats
Internal transcribed spacer
Long interspersed nuclear element
Long terminal repeat
Restriction site associated DNA
SNP and AFLP Package for Phylogenetic analysis
Sauer JD. The grain amaranths and their relatives: a revised taxonomic and geographic survey. Ann Missouri Bot Gard. 1967;54(2):103–37.
Sauer J. Revision of the dioecious amaranths. Madroño. 1955;13(1):5–46.
Sauer J. The dioecious amaranths: a new species name and major range extensions. Madrono. 1972;21(6):426.
Mosyakin SL, Robertson KR. New infrageneric taxa and combinations in Amaranthus (Amaranthaceae). Ann Bot Fenn. 1996;33(4):275–81.
Costea M, DeMason D. Stem morphology and anatomy in Amaranthus L. (Amaranthaceae). J Torrey Bot Soc. 2001;128(3):254–81.
Lanoue KZ, Wolf PG, Browning S, Hood EE. Phylogenetic analysis of restriction-site variation in wild and cultivated Amaranthus species (Amaranthaceae). Theor Appl Genet. 1996;93(5–6):722–32.
Chan KF, Sun M. Genetic diversity and relationships detected by isozyme and RAPD analysis of crop and wild species of Amaranthus. Theor Appl Genet. 1997;95(5–6):865–73.
Xu F, Sun M. Comparative analysis of phylogenetic relationships of grain amaranths and their wild relatives (Amaranthus; Amaranthaceae) using internal transcribed spacer, amplified fragment length polymorphism, and double-primer fluorescent intersimple sequence repeat. Mol Phylogenet Evol. 2001;21(3):372–87.
Stetter MG, Schmid KJ. Analysis of phylogenetic relationships and genome size evolution of the Amaranthus genus using GBS indicates the ancestors of an ancient crop. Mol Phylogenet Evol. 2017;109:80–92.
Waselkov KE, Boleda AS, Olsen KM. A phylogeny of the genus Amaranthus (Amaranthaceae) based on several low-copy nuclear loci and chloroplast regions. Syst Bot. 2018;43(2):439–58.
Renner SS. The relative and absolute frequencies of angiosperm sexual systems: Dioecy, monoecy, gynodioecy, and an updated online database. Am J Bot. 2014;101(10):1588–96.
Durand EY, Patterson N, Reich D, Slatkin M. Testing for ancient admixture between closely related populations. Mol Biol Evol. 2011;28(8):2239–52.
Wen D, Yu Y, Zhu J, Nakhleh L. Inferring phylogenetic networks using PhyloNet. Syst Biol. 2018;67(4):735–40.
Kubatko LS, Chifman J. An invariants-based method for efficient identification of hybrid species from large-scale genomic data. BMC Evol Biol. 2019;19(1):1–13.
Morales-Briones DF, Kadereit G, Tefarikis DT, Moore MJ, Smith SA, Brockington SF, et al. Disentangling sources of gene tree discordance in phylogenomic data sets: testing ancient hybridizations in Amaranthaceae s.l. Syst Biol. 2021;70(2):219–35.
Leimeister CA, Boden M, Horwege S, Lindner S, Morgenstern B. Fast alignment-free sequence comparison using spaced-word frequencies. Bioinformatics. 2014;30(14):1991–9.
Sarmashghi S, Bohmann K, Gilbert MTP, Bafna V, Mirarab S. Assembly-free and alignment-free sample identification using genome skims. Genome Biol. 2019;20:34.
Broder AZ. On the resemblance and containment of documents. Proceedings of the Compression and Complexity of Sequences. 1997. https://doi.org/10.1109/SEQUEN.1997.666900.
Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH, Koren S, et al. Mash: Fast genome and metagenome distance estimation using MinHash. Genome Biol. 2016;17(1):1–14.
Zielezinski A, Girgis HZ, Bernard G, Leimeister CA, Tang K, Dencker T, et al. Benchmarking of alignment-free sequence comparison methods. Genome Biol. 2019;20(1):1–18.
Ward SM, Webster TM, Steckel LE. Palmer amaranth (Amaranthus palmeri): A review. Weed Technol. 2013;27:12–27.
Tranel PJ. Herbicide resistance in Amaranthus tuberculatus†. Pest Manag Sci. 2021;77(1):43–54.
Neves CJ, Matzrafi M, Thiele M, Lorant A, Mesgaran MB, Stetter MG. Male linked genomic region determines sex in dioecious Amaranthus palmeri. J Hered. 2020;111(7):606–12.
Montgomery JS, Giacomini DA, Weigel D, Tranel PJ. Male-specific Y-chromosomal regions in waterhemp (Amaranthus tuberculatus) and Palmer amaranth (Amaranthus palmeri). New Phytol. 2021;229(6):3522–33.
Sauer JD. The grain amaranths: A survey of their history and classification. Ann Missouri Bot Gard. 1950;37(4):561–632.
Aderibigbe OR, Ezekiel OO, Owolade SO, Korese JK, Sturm B, Hensel O. Exploring the potentials of underutilized grain amaranth (Amaranthus spp.) along the value chain for food and nutrition security: A review. Crit Rev Food Sci Nutr. 2022;62(3):656–69.
Steckel LE. The dioecious Amaranthus spp.: Here to stay. Weed Technol. 2007;21(2):567–70.
Trucco F, Jeschke MR, Rayburn AL, Tranel PJ. Promiscuity in weedy amaranths: high frequency of female tall waterhemp (Amaranthus tuberculatus) × smooth pigweed (A.hybridus) hybridization under field conditions. Weed Sci. 2005;53(1):46–54.
Tranel PJ, Riggins CW, Bell MS, Hager AG. Herbicide resistances in Amaranthus tuberculatus: a call for new options. J Agric Food Chem. 2011;59(11):5808–12.
Gaines TA, Ward SM, Bukun B, Preston C, Leach JE, Westra P. Interspecific hybridization transfers a previously unknown glyphosate resistance mechanism in Amaranthus species. Evol Appl. 2012;5(1):29–38.
Kreiner JM, Stinchcombe JR, Wright SI. Population genomics of herbicide resistance: adaptation via evolutionary rescue. Annu Rev Plant Biol. 2018;69:611–35.
Shergill LS, Barlow BR, Bish MD, Bradley KW. Investigations of 2,4-D and multiple herbicide resistance in a Missouri waterhemp (Amaranthus tuberculatus) population. Weed Sci. 2018;66:386–94.
Heap IM. The International Survey of Herbicide Resistant Weeds. 2022. http://www.weedscience.org/
Käfer J, Marais GAB, Pannell JR. On the rarity of dioecy in flowering plants. Mol Ecol. 2017;26(5):1225–41.
Muyle A, Martin H, Zemp N, Mollion M, Gallina S, Tavares R, et al. Dioecy is associated with high genetic diversity and adaptation rates in the plant genus Silene. Mol Biol Evol. 2021;38(3):805–18.
Henry IM, Akagi T, Tao R, Comai L. One hundred ways to invent the sexes: theoretical and observed paths to dioecy in plants. Annu Rev Plant Biol. 2018;69:553–75.
Tranel PJ, Trucco F. 21st-century weed science: a call for Amaranthus genomics. In: Stewart CN, editor. Weedy and invasive plant genomics. Oxford: Wiley-Blackwell; 2009. p. 53–81.
Neve P. Gene drive systems: do they have a place in agricultural weed management? Pest Manag Sci. 2018;74(12):2671–9.
Akagi T, Henry IM, Tao R, Comai L. A Y-chromosome-encoded small RNA acts as a sex determinant in persimmons. Science (80). 2014;346(6209):646.
Akagi T, Pilkington SM, Varkonyi-Gasic E, Henry IM, Sugano SS, Sonoda M, et al. Two Y-chromosome-encoded genes determine sex in kiwifruit. Nat Plants. 2019;5(8):801–9.
Harkess A, Huang K, van der Hulst R, Tissen B, Caplan JL, Koppula A, et al. Sex determination by two Y-linked genes in garden asparagus. Plant Cell. 2020;32(6):1790–6.
Müller NA, Kersten B, Leite Montalvão AP, Mähler N, Bernhardsson C, Bräutigam K, et al. A single gene underlies the dynamic evolution of poplar sex determination. Nat Plants. 2020;6(6):630–7.
Montalvão Leite PA, Kersten B, Fladung M, Müller NA. The diversity and dynamics of sex determination in dioecious plants. Front Plant Sci. 2021;11:1–12.
LeiteMontalvão AP, Kersten B, Kim G, Fladung M, Müller NA. ARR17 controls dioecy in Populus by repressing B-class MADS-box gene expression. Phil Trans R Soc B. 2022;377:20210217.
Ma X, Yu L, Fatima M, Wadlington WH, Hulse-Kemp AM, Zhang X, et al. The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species. Genome Biol. 2022;23(1):1–30.
Montgomery JS, Sadeque A, Giacomini DA, Brown PJ, Tranel PJ. Sex-specific markers for waterhemp (Amaranthus tuberculatus) and Palmer amaranth (Amaranthus palmeri). Weed Sci. 2019;67(4):412–8.
Montgomery JS, Giacomini D, Waithaka B, Lanz C, Murphy BP, Campe R, et al. Draft genomes of Amaranthus tuberculatus, Amaranthus hybridus, and Amaranthus palmeri. Genome Biol Evol. 2020;12(11):1988–93.
Charlesworth D. Plant sex chromosome evolution. J Exp Bot. 2013;64(2):405–20.
Hobza R, Kubat Z, Cegan R, Jesionek W, Vyskot B, Kejnovsky E. Impact of repetitive DNA on sex chromosome evolution in plants. Chromosom Res. 2015;23(3):561–70.
Charlesworth D. Plant sex chromosomes. Annu Rev Plant Biol. 2016;67:397–420.
Ranallo-Benavidez TR, Jaron KS, Schatz MC. GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes. Nat Commun. 2020;11(1):1432.
Ma X, Vaistij FE, Li Y, Jansen van Rensburg WS, Harvey S, Bairu MW, et al. A chromosome-level Amaranthus cruentus genome assembly highlights gene family evolution and biosynthetic gene clusters that may underpin the nutritional value of this traditional crop. Plant J. 2021;107(2):613–28.
Hozza M, Vinař T, Brejová B. How big is that genome? Estimating genome size and coverage from k-mer abundance spectra. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics). 2015;9309:199–209.
Sun H, DIng J, Piednoël M, Schneeberger K. FindGSE: Estimating genome size variation within human and Arabidopsis using k-mer frequencies. Bioinformatics. 2018;34(4):550–7.
Pflug JM, Holmes VR, Burrus C, Spencer Johnston J, Maddison DR. Measuring genome sizes using read-depth, k-mers, and flow cytometry: methodological comparisons in beetles (Coleoptera). G3 Genes, Genomes, Genet. 2020;10(9):3047–60.
Asalone KC, Ryan KM, Yamadi M, Cohen AL, Farmer WG, George DJ, et al. Regional sequence expansion or collapse in heterozygous genome assemblies. PLoS Comput Biol. 2020;16(7):1–22.
Novák P, Neumann P, Macas J. Global analysis of repetitive DNA from unassembled sequence reads using RepeatExplorer2. Nat Protoc. 2020;15(11):3745–76.
Lightfoot DJ, Jarvis DE, Ramaraj T, Lee R, Jellen EN, Maughan PJ. Single-molecule sequencing and Hi-C-based proximity-guided assembly of amaranth (Amaranthus hypochondriacus) chromosomes provide insights into genome evolution. BMC Biol. 2017;15(1):1–15.
Hnatovska S. Genome size and repeat abundance variation in Amaranthus tuberculatus. 2022. https://tspace.library.utoronto.ca/handle/1807/110770.
Goerner-Potvin P, Bourque G. Computational tools to unmask transposable elements. Nat Rev Genet. 2018;19(11):688–704.
Goubert C, Modolo L, Vieira C, Moro CV, Mavingui P, Boulesteix M. De novo assembly and annotation of the Asian tiger mosquito (Aedes albopictus) repeatome with dnaPipeTE from raw genomic reads and comparative analysis with the yellow fever mosquito (Aedes aegypti). Genome Biol Evol. 2015;7(4):1192–205.
Katz L, Griswold T, Morrison S, Caravas J, Zhang S, Bakker H, et al. Mashtree: a rapid comparison of whole genome sequence files. J Open Source Softw. 2019;4(44):1762.
Wascher FL, Stralis-Pavese N, McGrath JM, Schulz B, Himmelbauer H, Dohm JC. Genomic distances reveal relationships of wild and cultivated beets. Nat Commun. 2022;13(1):1–13.
VanWallendael A, Alvarez M. Alignment-free methods for polyploid genomes: quick and reliable genetic distance estimation. Mol Ecol Resour. 2022;22(2):612–22.
Sauer J. Recent migration and evolution of the dioecious amaranths. Evolution. 1957;11(1):11–31.
Kreiner JM, Giacomini DA, Bemm F, Waithaka B, Regalado J, Lanz C, et al. Multiple modes of convergent adaptation in the spread of glyphosate-resistant Amaranthus tuberculatus. Proc Natl Acad Sci U S A. 2019;116(46):23363.
Dai X, Sinharoy S, Udvardi M, Zhao PX. PlantTFcat: An online plant transcription factor and transcriptional regulator categorization and analysis tool. BMC Bioinformatics. 2013;14(1):321.
Laity JH, Lee BM, Wright PE. Zinc finger proteins: New insights into structural and functional diversity. Curr Opin Struct Biol. 2001;11(1):39–46.
Majer C, Hochholdinger F. Defining the boundaries: structure and function of LOB domain proteins. Trends Plant Sci. 2011;16(1):47–52.
Kim JH, Tsukaya H. Regulation of plant growth and development by the GROWTH-REGULATING FACTOR and GRF-INTERACTING FACTOR duo. J Exp Bot. 2015;66(20):6093–107.
Veltsos P, Cossard G, Beaudoing E, Beydon G, Bianchi DS, Roux C, et al. Size and content of the sex-determining region of the Y chromosome in dioecious Mercurialis annua, a plant with homomorphic sex chromosomes. Genes. 2018;9(6):277.
Na JK, Wang J, Ming R. Accumulation of interspersed and sex-specific repeats in the non-recombining region of papaya sex chromosomes. BMC Genomics. 2014;15(1):1–12.
Chen YC, Liu T, Yu CH, Chiang TY, Hwang CC. Effects of GC bias in next-generation-sequencing data on de novo genome assembly. PLoS One. 2013;8(4):e62856.
Dominguez Del Angel V, Hjerde E, Sterck L, Capella-Gutierrez S, Notredame C, Vinnere Pettersson O, et al. Ten steps to get started in genome assembly and annotation. F1000Research. 2018;7:148. https://doi.org/10.12688/f1000research.13598.1.
Grant WF. Cytogenetic studies in Amaranthus. Can J Bot. 1959;37:413–7.
Murray MJ. The genetics of sex determination in the family Amaranthaceae. Genetics. 1940;25(4):409–31.
Janicki M, Rooke R, Yang G. Bioinformatics and genomic analysis of transposable elements in eukaryotic genomes. Chromosom Res. 2011;19(6):787–808.
Bennetzen JL, Wang H. The contributions of transposable elements to the structure, function, and evolution of plant genomes. Annu Rev Plant Biol. 2014;65:505–30.
Bourque G, Burns KH, Gehring M, Gorbunova V, Seluanov A, Hammell M, et al. Ten things you should know about transposable elements. Genome Biol. 2018;19(1):1–12.
Wassom JJ, Tranel PJ. Amplified fragment length polymorphism-based genetic relationships among weedy Amaranthus species. J Hered. 2005;96(4):410–6.
Riggins CW, Peng Y, Stewart CN, Tranel PJ. Characterization of de novo transcriptome for waterhemp (Amaranthus tuberculatus) using GS-FLX 454 pyrosequencing and its application for studies of herbicide target-site genes. Pest Manag Sci. 2010;66(10):1042–52.
Franssen AS, Skinner DZ, Al-Khatib K, Horak MJ. Pollen morphological differences in Amaranthus species and interspecific hybrids. Weed Sci. 2001;49(6):732–7.
Feschotte C, Jiang N, Wessler SR. Plant transposable elements: where genetics meets genomics. Nat Rev Genet. 2002;3(5):329–41.
Novák P, Neumann P, Pech J, Steinhaisl J, MacAs J. RepeatExplorer: a galaxy-based web server for genome-wide characterization of eukaryotic repetitive elements from next-generation sequence reads. Bioinformatics. 2013;29(6):792–3.
Treangen TJ, Salzberg SL. Repetitive DNA and next-generation sequencing: computational challenges and solutions. Nat Rev Genet. 2012;13(1):36–46.
Zuccolo A, Sebastian A, Talag J, Yu Y, Kim HR, Collura K, et al. Transposable element distribution, abundance and role in genome size variation in the genus Oryza. BMC Evol Biol. 2007;7:1–15.
Gaborieau L, Brown GG, Mireau H. The propensity of pentatricopeptide repeat genes to evolve into restorers of cytoplasmic male sterility. Front Plant Sci. 2016;7:1816.
Chen L, Liu YG. Male sterility and fertility restoration in crops. Annu Rev Plant Biol. 2014;65:579–606.
Uyttewaal M, Arnal N, Quadrado M, Martin-Canadell A, Vrielynck N, Hiard S, et al. Characterization of Raphanus sativus pentatricopeptide repeat proteins encoded by the fertility restorer locus for Ogura cytoplasmic male sterility. Plant Cell. 2008;20(12):3331–45.
Gong W, Filatov DA. Evolution of the sex-determining region in Ginkgo biloba. Philos Trans R Soc B Biol Sci. 1850;2022(377):20210229.
Harkess A, Zhou J, Xu C, Bowers JE, Van Der Hulst R, Ayyampalayam S, et al. The asparagus genome sheds light on the origin and evolution of a young Y chromosome. Nat Commun. 2017;8(1):1279.
Charlesworth B, Charlesworth D. A model for the evolution of dioecy and gynodioecy. Am Nat. 1978;112(988):975–97.
Renner SS, Ricklefs RE. Dioecy and its correlates in the flowering plants. Am J Bot. 1995;82(5):596.
Renner SS, Won H. Repeated evolution of dioecy from monoecy in siparunaceae (Laurales). Syst Biol. 2001;50(5):700–12.
Standley LA. Paradioecy and gender ratios in Carex macrocephala (Cyperaceae). Am Midl Nat. 1985;113(2):283–6.
Kadereit G, Borsch T, Weising K, Freitag H. Phylogeny of Amaranthaceae and Chenopodiaceae and the evolution of C4 photosynthesis. Int J Plant Sci. 2003;164(6):959–86.
Bullock SH. Breeding systems in the flora of a tropical deciduous forest in Mexico. Biotropica. 1985;17(4):287–301.
Lloyd DG. The distributions of gender in four angiosperm species illustrating two evolutionary pathways to dioecy. Evolution. 1980;34(1):123–34.
Renner SS, Müller NA. Plant sex chromosomes defy evolutionary models of expanding recombination suppression and genetic degeneration. Nat Plants. 2021;7(4):392–402.
Golenberg EM, West NW. Hormonal interactions and gene regulation can link monoecy and environmental plasticity to the evolution of dioecy in plants. Am J Bot. 2013;100(6):1022–37.
Akagi T, Henry IM, Ohtani H, Morimoto T, Beppu K, Kataoka I, et al. A Y-encoded suppressor of feminization arose via lineage-specific duplication of a cytokinin response regulator in kiwifruit. Plant Cell. 2018;30(4):780–95.
Bayón ND. Revisión taxonómica de las especies monoicas de Amaranthus (Amaranthaceae): Amaranthus subg. Amaranthus y Amaranthus subg. Albersia Ann Missouri Bot Gard. 2015;101(2):261–383.
Bayón ND, Peláez C. A new species of Amaranthus (Amaranthaceae) from Salta. Argentina Novon. 2012;22(2):133–6.
Bram MR, Quinn JA. Sex expression, sex-specific traits, and the effects of salinity on growth and reproduction of Amaranthus cannabinus (Amaranthaceae), a dioecious annual. Am J Bot. 2000;87(11):1609–18.
Cronk Q. The distribution of sexual function in the flowering plant: from monoecy to dioecy. Philos Trans R Soc B Biol Sci. 1850;2022(377):20210486.
Yao G, Jin JJ, Li HT, Yang JB, Mandala VS, Croley M, et al. Plastid phylogenomic insights into the evolution of Caryophyllales. Mol Phylogenet Evol. 2019;134:74–86.
Lyons E, Freeling M. How to usefully compare homologous plant genes and chromosomes as DNA sequences. Plant J. 2008;53(4):661–73.
Doyle JJ, Doyle JL. Isolation of plant DNA from fresh tissue. Focus. 1990;12:13–5.
Marçais G, Kingsford C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 2011;27(6):764–70.
Kokot M, Dlugosz M, Deorowicz S. KMC 3: counting and manipulating k-mer statistics. Bioinformatics. 2017;33(17):2759–61.
Novák P, Neumann P, Macas J. Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data. BMC Bioinformatics. 2010;11:1–12.
Molin WT, Wright AA, Lawton-Rauh A, Saski CA. The unique genomic landscape surrounding the EPSPS gene in glyphosate resistant Amaranthus palmeri: A repetitive path to resistance. BMC Genomics. 2017;18(1):1–16.
Hall M. Rasusa: Randomly subsample sequencing reads to a specified coverage. J Open Source Softw. 2022;7(69):3941.
Flynn JM, Hubley R, Goubert C, Rosen J, Clark AG, Feschotte C, et al. RepeatModeler2 for automated genomic discovery of transposable element families. Proc Natl Acad Sci USA. 2020;117(17):9451–7.
Bao W, Kojima KK, Kohany O. Repbase Update, a database of repetitive elements in eukaryotic genomes. Mob DNA. 2015;6(1):4–9.
Ou S, Jiang N. LTR_retriever: a highly accurate and sensitive program for identification of long terminal repeat retrotransposons. Plant Physiol. 2018;176(2):1410–22.
Ellinghaus D, Kurtz S, Willhoeft U. LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons. BMC Bioinformatics. 2008;9:18.
Ou S, Chen J, Jiang N. Assessing genome assembly quality using the LTR Assembly Index (LAI). Nucleic Acids Res. 2018;46(21):e126.
Li W, Godzik A. Cd-hit: A fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics. 2006;22(13):1658–9.
Chaney L, Mangelson R, Ramaraj T, Jellen EN, Maughan PJ. The complete chloroplast genome sequences for four Amaranthus species (Amaranthaceae). Appl Plant Sci. 2016;4(9):1600063.
Kubo T, Nishizawa S, Sugawara A, Itchoda N, Estiati A, Mikami T. The complete nucleotide sequence of the mitochondrial genome of sugar beet (Beta vulgaris L.) reveals a novel gene for tRNA(Cys)(GCA). Nucleic Acids Res. 2000;28(13):2571–6.
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–9.
Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: Summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047–8.
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.
Howe K, Bateman A, Durbin R. QuickTree: Building huge neighbour-joining trees of protein sequences. Bioinformatics. 2002;18(11):1546–7.
Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv:13033997v2. 2013;00(00):1–3.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.
Smith JJ, Timoshevskaya N, Ye C, Holt C, Keinath MC, Parker HJ, et al. The sea lamprey germline genome provides insights into programmed genome rearrangement and vertebrate evolution. Nat Genet. 2018;50(2):270–7.
Timoshevskiy VA, Timoshevskaya NY, Smith JJ. Germline-specific repetitive elements in programmatically eliminated chromosomes of the sea lamprey (Petromyzon marinus). Genes. 2019;10(10):832.
Grayson P, Wright A, Garroway CJ, Docker MF. SexFindR: a computational workflow to identify young and old sex chromosomes. bioRxiv. 2022. https://doi.org/10.1101/2022.02.21.481346.
Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the Tidyverse. J Open Source Softw. 2019;4(43):1686.
Ramírez F, Dündar F, Diehl S, Grüning BA, Manke T. DeepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Res. 2014;42:187–91.
Lawrence M, Gentleman R, Carey V. rtracklayer: An R package for interfacing with genome browsers. Bioinformatics. 2009;25(14):1841–2.
Lawrence M, Huber W, Pagès H, Aboyoun P, Carlson M, Gentleman R, et al. Software for computing and annotating genomic ranges. PLoS Comput Biol. 2013;9(8):1–10.
Hahne F, Ivanek R. Visualizing genomic data using Gviz and bioconductor. Methods Mol Biol. 2016;1418:335–51.
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021. https://www.r-project.org
Raiyemo DA, Bobadilla LK, Tranel PJ. Genomic profiling of dioecious Amaranthus species provides novel insights into species relatedness and sex genes. NCBI BioProject. 2023. https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA836903
Raiyemo DA, Bobadilla LK, Tranel PJ. Genomic profiling of dioecious Amaranthus species provides novel insights into species relatedness and sex genes. figshare. 2023. https://doi.org/10.6084/m9.figshare.19735501
This work was supported by the USDA National Institute of Food and Agriculture (Grant Number 2022–67013-36142). The funding agency played no role in the design of the study, collection, analysis, and interpretation of data or in writing the manuscript.
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Additional file 1:
Table S1. TableS1 – Amaranthus species and other members of Caryophyllales used in this study.
Additional file 2: Figures S1 – S12.
Fig S1 – Genome size estimate and ploidy level inference for A. acanthochiton. Fig S2 – genome size estimate and ploidy level inference for A. arenicola. Fig S3 – Genome size estimate and ploidy level inference for A. australis. Fig S4 – Genome size estimate and ploidy level inference for A. cannabinus. Fig S5 – Genome size estimate and ploidy level inference for A. floridanus. Fig S6 – Genome size estimate and ploidy level inference for A. tuberculatus. Fig S7 – Genome size estimate and ploidy level inference for A. greggii. Fig S8 – Genome size estimate and ploidy level inference for A. watsonii. Fig S9 – Genome size estimate and ploidy level inference for A. palmeri. Fig S10 – Genome size estimate and ploidy level inference for A. hybridus. Fig S11 – Genome size estimate and ploidy level inference for A. hypochondriacus. Fig S12 – Genome size estimate and ploidy level inference for A. cruentus.
Additional file 3: Tables S1 – S6.
Table S1 – Genome size estimates (bp) from CovEST basic and repeats model, and findGSE. Table S2A – Composition (%) of repeats identified in Amaranthus species using RepeatExplorer2. Table S2B – Composition (%) of repeats identified in Amaranthus species using dnaPipeTE. Table S3 – Repeat composition for A. hypochondriacus, A. hybridus and A. tuberculatus genome assemblies. Table S4 – Composition of repeats for A. palmeri genome assembly and the male-specific region of the Y. Table S5 – Statistics of short-reads alignment to A. tuberculatus male contig assembly. Table S6 – Statistics of short-reads alignment to A. palmeri male scaffold assembly.
Additional file 4: Figures S1 – S12.
Fig S1 – Proportion of repeats in subsampled A. acanthochiton genome. Fig S2 – Proportion of repeats in subsampled A. arenicola genome. Fig S3 – Proportion of repeats in subsampled A. australis genome. Fig S4 – Proportion of repeats in subsampled A. cannabinus genome. Fig S5 – Proportion of repeats in subsampled A. floridanus genome. Fig S6 – Proportion of repeats in subsampled A. tuberculatus genome. Fig S7 – Proportion of repeats in subsampled A. greggii genome. Fig S8 – Proportion of repeats in subsampled A. watsonii genome. Fig S9 – Proportion of repeats in subsampled A. palmeri genome. Fig S10 – Proportion of repeats in subsampled A. hybridus genome. Fig S11 –Proportion of repeats in subsampled A. hypochondriacus genome. Fig S12 – Proportion of repeats in subsampled A. cruentus genome.
Additional file 5: Tables S1 – S10.
Table S1 – Coverage analysis for A. acanthochiton male and female reads mapped to A. palmeri genome. Table S2 – Coverage analysis for A. cannabinus male and female reads mapped to A. palmeri genome. Table S3 – Coverage analysis for A. greggii male and female reads mapped to A. palmeri genome. Table S4 – Coverage analysis for A. watsonii male and female reads mapped to A. palmeri genome. Table S5 – Coverage analysis for A. acanthochiton male and female reads mapped to A. tuberculatus genome. Table S6 – Coverage analysis for A. cannabinus male and female reads mapped to A. tuberculatus genome. Table S7 – Coverage analysis for A. greggii male and female reads mapped to A. tuberculatus genome. Table S8 – Coverage analysis for A. watsonii male and female reads mapped to A. tuberculatus genome. Table S9 – Coverage analysis for A. tuberculatus male (ERR3220246) and female (ERR3220227) reads mapped to A. tuberculatus genome. Table S10 – Coverage analysis for A. tuberculatus male (ERR3220310) and female (ERR3220231) reads mapped to A. tuberculatus genome.
Additional file 6: Figures S1 – S3.
Fig S1 – Upset plot of shared scaffolds with male- or female-enriched coverages. Fig S2 - Reads alignment coverage of male-to-female individuals for four dioecious Amaranthus species across scaffold 19. Fig S3 – Reads alignment coverage of male-to-female individuals for five dioecious Amaranthus species across FLOWERING LOCUS T (FT) on contig 00000542.
Additional file 7: Tables S1 – S2.
Table S1 – Gene models within A. palmeri male-specific region of the Y exhibiting male-enriched coverage for A. watsonii mapped reads. Table S2 – Transcription factors identified within A. palmeri male-specific region of the Y.
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Raiyemo, D.A., Bobadilla, L.K. & Tranel, P.J. Genomic profiling of dioecious Amaranthus species provides novel insights into species relatedness and sex genes. BMC Biol 21, 37 (2023). https://doi.org/10.1186/s12915-023-01539-9
- Comparative genomics
- Genome evolution
- Amaranthus species
- Dioecious amaranths
- Male-specific Y region
- Sex determination