基于SSR标记的谷子主要农艺性状关联位点检测及等位变异分析
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李剑峰,张博,全建章,王永芳,张小梅,赵渊,袁玺垒,贾小平,董志平
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Associated Loci Detection and Elite Allelic Variations Analysis of Main Agronomic Traits in Foxtail Millet (Setaria italica L.) Based on SSR Markers
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JianFeng LI,Bo ZHANG,JianZhang QUAN,YongFang WANG,XiaoMei ZHANG,Yuan ZHAO,XiLei YUAN,XiaoPing JIA,ZhiPing DONG
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表2 70对SSR标记在102份谷子材料中的多态性
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Table 2 Polymorphism of seventy SSRs among 102 foxtail millet accessions
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SSR标记 SSR markers | 等位基因数 Allele number | 有效等位基因数 Number of effective alleles | Shannon指数 Shannon index | 期望杂合度 Expected heterozygosity | b115 | 6 | 2.005 | 0.618 | 0.350 | b116 | 4 | 1.712 | 0.521 | 0.325 | b122 | 5 | 2.200 | 0.719 | 0.431 | b125 | 5 | 2.447 | 0.926 | 0.575 | p6 | 4 | 2.059 | 0.738 | 0.468 | p5 | 6 | 2.022 | 0.632 | 0.363 | p3 | 8 | 2.776 | 1.026 | 0.602 | p8 | 6 | 1.983 | 0.611 | 0.346 | p10 | 5 | 2.204 | 0.786 | 0.494 | p12x | 8 | 2.226 | 0.767 | 0.448 | p16 | 5 | 1.849 | 0.631 | 0.390 | b127 | 7 | 2.355 | 0.765 | 0.438 | b129 | 4 | 2.283 | 0.849 | 0.516 | b142 | 7 | 2.595 | 0.903 | 0.522 | b147 | 4 | 1.773 | 0.622 | 0.400 | b158 | 5 | 2.148 | 0.784 | 0.495 | b161 | 5 | 1.926 | 0.666 | 0.405 | b163 | 4 | 1.909 | 0.568 | 0.332 | b165 | 4 | 1.827 | 0.590 | 0.395 | b166 | 4 | 1.943 | 0.685 | 0.442 | b194 | 6 | 1.909 | 0.657 | 0.380 | b200 | 6 | 2.277 | 0.802 | 0.470 | b107 | 7 | 1.961 | 0.721 | 0.446 | b123 | 6 | 2.426 | 0.872 | 0.520 | b159 | 6 | 2.600 | 0.900 | 0.509 | b190 | 5 | 1.933 | 0.696 | 0.433 | b234 | 4 | 1.742 | 0.503 | 0.308 | b255 | 6 | 2.434 | 0.816 | 0.469 | b242 | 4 | 2.100 | 0.766 | 0.477 | b185 | 4 | 2.153 | 0.803 | 0.512 | b227 | 4 | 2.025 | 0.637 | 0.392 | b233 | 5 | 2.354 | 0.895 | 0.558 | b258 | 6 | 2.118 | 0.775 | 0.478 | b153 | 5 | 2.497 | 0.854 | 0.498 | b187 | 5 | 2.498 | 0.940 | 0.578 | b202 | 7 | 2.329 | 0.790 | 0.449 | b101 | 6 | 2.218 | 0.779 | 0.448 | b106 | 8 | 2.325 | 0.775 | 0.448 | p59 | 5 | 2.258 | 0.812 | 0.496 | p98 | 4 | 2.177 | 0.728 | 0.443 | p56 | 5 | 2.123 | 0.806 | 0.508 | p61 | 4 | 1.671 | 0.498 | 0.319 | p68 | 5 | 2.098 | 0.734 | 0.466 | p74 | 5 | 2.366 | 0.825 | 0.515 | p80 | 8 | 2.797 | 1.025 | 0.598 | p87 | 8 | 3.092 | 1.118 | 0.642 | p89 | 8 | 2.538 | 0.892 | 0.497 | p88 | 8 | 2.832 | 0.974 | 0.560 | p92 | 7 | 2.425 | 0.843 | 0.498 | p85 | 6 | 2.286 | 0.838 | 0.503 | p100 | 6 | 2.448 | 0.879 | 0.530 | p95X | 9 | 2.827 | 0.935 | 0.502 | p29 | 7 | 2.714 | 0.964 | 0.534 | p44 | 8 | 2.932 | 1.036 | 0.605 | p42 | 7 | 2.785 | 0.989 | 0.567 | p91 | 8 | 2.362 | 0.802 | 0.474 | sigms11655 | 6 | 1.788 | 0.490 | 0.295 | P18 | 3 | 1.519 | 0.439 | 0.279 | p20 | 7 | 2.519 | 0.937 | 0.570 | p17x | 6 | 2.335 | 0.818 | 0.495 | sigms9034 | 5 | 1.593 | 0.493 | 0.311 | sigms10291 | 4 | 2.174 | 0.728 | 0.451 | sigms11641 | 3 | 1.726 | 0.538 | 0.368 | sigms11693 | 6 | 2.463 | 0.946 | 0.572 | sigms11672 | 4 | 1.686 | 0.516 | 0.321 | sigms10287 | 7 | 2.723 | 0.913 | 0.498 | MPGD46 | 6 | 2.297 | 0.804 | 0.466 | MPGD10 | 5 | 2.649 | 0.974 | 0.588 | sigms11 | 6 | 2.390 | 0.883 | 0.522 | MPGC13 | 5 | 1.794 | 0.599 | 0.355 |
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