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We generated 9.4 Tb high-quality resequencing data involving 336 accessions derived from Asia (274), Africa (32), the Americas (28) and Europe (2) (Table S1 and Figure S1). , 2019 ), with an average of 11.2-fold depth (Tables S1 and S2). We identified 16.0 million (M) single nucleotide polymorphisms (SNPs; Table 1 and Table S3) and 2.3 m insertion/deletion polymorphisms (InDels; Table S4). We found that the number of SNPs in At was approximately 1.8 times that found in Dt (Table S5 and Figure S2a), congruent with the twofold size difference between the At and Dt subgenomes (Li et al., 2014 ). SNP density was 1.8 SNPs/kb in At and 1.9 SNPs/kb in Dt (Table S5 and Figure S2a), like that in G. hirsutum (Ma et al., 2018 ). Diversity (??) within the two subgenomes was similar, albeit slightly lower for Dt (5.3 ? 10 -4 ) than At (6.2 ? 10 -4 ) (Table S5 and Figure S2a), which agrees with a recent report (Yuan et al., 2021 ).
To have construction data, the fresh pure logarithms regarding probability studies (LnP(K)) and the random fact ?K were determined (Dong mais aussi al., 2019 ; Huang et al., 2017 ; Su mais aussi al., 2018 ). This new LnP(D) worth improved consistently out-of K = step 1 to help you 7 as opposed to an obvious inflection part (Contour S2b). But not, the newest ?K really worth presented a surge within K = 2 (Profile S2c). Which suggested one or two major gene pools, similar to the phylogenetic tree (Contour 1a), society framework investigation (Shape 1b and you will Dining table S6) and you will dominant part data (PCA; Profile S2d). Given intraspecies introgression because of geographic delivery and you will breeding routine, specific landraces and transitional accessions had been integrated into a 3rd combined subgroup by broadening another middle quantity of ancestry ratio on K = 2 (in the beginning, if origins proportion of just one accession belonging to K1 is more than 0.eight, it absolutely was classified due to the fact pop1, otherwise pop2, and then, accessions to your ancestry ratio regarding 0.5 so you’re able to 0.7 was assigned for the blended subpopulation; Profile 1c, Figure S2e–f and Table S7). Hereafter, this type of subgroups were designated as the ‘Pop1′ (76), ‘mixed’ (91) and you can ‘Pop2′ (169 accessions; Table S6 and Profile S1). Pop1 generally provided has just selected cultivars regarding China’s Grande Prairie hookup sites northwest inland cotton fiber part, having lengthened and you can stronger muscles (soluble fiber size, Fl imply = mm; dietary fiber electricity, FS suggest = cN/tex). This new ‘mixed’ populace mainly included landraces out-of big cotton fiber-growing components within the China, and you will transformation cultivars from other around the globe pure cotton-producing places, which have typical-high quality muscles (Florida mean = mm; FS suggest = cN/tex). Pop2 contains all the before variety away from cotton fiber-generating places internationally, which have faster minimizing-strength fibres (Florida indicate = mm; FS suggest = cN/tex).
Among all accessions, ?? value was 5.84 ? 10 ?4 on average, ranging from 4.96 to 5.74 ? 10 ?4 across the three subpopulations (Figure 1d). This is similar to the overall diversity in a set of Chinese-focused Upland cotton accessions (5.39 ? 10 ?4 ; Wang et al., 2019 ). Genetic differentiation (FST) values among the three subpopulations were 0.049–0.155 (Figure 1d), like that previously found in Upland cotton (Fang et al., 2017b ; Ma et al., 2018b ). The decay rate of linkage disequilibrium (LD), that is the pairwise correlation coefficient (r 2 ) from the maximum value to the half-maximum, was 388 kb for all 336 accessions and was close among populations (i.e. 373, 342 and 342 kb for Pop1, mixed and Pop2 respectively; Figure 1e). These LD values were higher than that of Upland cotton reported by Wang (296 kb; Wang et al., 2017a ), but lower than that of Fang (1000 kb; Fang et al., 2017b ).