Population genomic evidence for adaptive differentiation in Baltic Sea three-spined sticklebacks

Table 2 Summary statistics of RAD data, including and estimates of basic population genetic parameters in each population

Population	Number of raw reads	Number of mapped reads	Number of SNPs ^a	Average heterozygosity ^b	Tajima’s π	Watterson’s θ	Proportion of SNPs ^c	Number of private SNPs ^d
COP	3,751,563	1,220,231	22,850	0.23404	0.00303	0.00367	0.61313	64
FOR	3,548,488	1,167,788	21,196	0.22072	0.00301	0.00378	0.61854	51
KAR	3,490,058	1,765,802	34,676	0.25750	0.00275	0.00317	0.59648	71
KAS	3,875,084	1,665,176	29,022	0.22843	0.00286	0.00347	0.65246	107
KBOR	3,513,975	1,449,015	25,849	0.24355	0.00284	0.00336	0.60546	84
LET	3,452,354	789,771	15,746	0.23002	0.00332	0.00408	0.55612	21
MAR	3,419,749	1,532,462	29,957	0.23845	0.00300	0.00361	0.61900	118
NYK	2,418,564	696,118	13,738	0.23560	0.00332	0.00403	0.52402	8
PET	4,379,234	1,221,772	21,503	0.21416	0.00307	0.00391	0.62023	59
PJM	3,454,537	803,583	14,183	0.22936	0.00311	0.00380	0.55930	35

^aSNPs identified using PoPoolation, used for average estimation of heterozygosity, Tajima’s π, and Watterson’s θ.
^bAverage heterozygosity is the sum of [2 × p × (1 – p)] for all SNPs with the total number of all SNPs identified in each population, where p is the frequency of the most common allele.
^cProportion of SNPs that have read support for both alleles in each population in the total 30,871 SNPs identified using PoPoolation2.
^dNumber of SNPs that are unique to each population in the total 30,871 SNPs identified using PoPoolation2.

ISSN: 1741-7007