
Biodiv Sci ›› 2008, Vol. 16 ›› Issue (3): 263-270. DOI: 10.3724/SP.J.1003.2008.07362 cstr: 32101.14.SP.J.1003.2008.07362
• Original article • Previous Articles Next Articles
Juan Yan1,2, Haijia Chu1,2, Hengchang Wang1, Jianqiang Li1,*(
)
Received:2007-12-03
Accepted:2008-02-15
Online:2008-05-20
Published:2008-05-20
Contact:
Jianqiang Li
About author:First author contact:**Contributed equally to this work
Juan Yan, Haijia Chu, Hengchang Wang, Jianqiang Li. Genetic structure and diversity of Medicago lupulina populations in northern and central China based on EST-SSRs markers[J]. Biodiv Sci, 2008, 16(3): 263-270.
| 居群 Population | 经纬度 Locality | 采样数目 Sample size |
|---|---|---|
| 新疆 Xinjiang | ||
| 1 喀什 Kashi | 39.44° N, 75.988° E | 23 |
| 2 伊犁 Yili | 43.88° N, 81.305° E | 20 |
| 3 那拉提 Nalati | 43.45° N, 83.283° E | 20 |
| 4 库尔勒 Korla | 41.75° N, 86.128° E | 17 |
| 5 奇台 Qitai | 43.70° N, 89.604° E | 23 |
| 6 巴里坤 Balikun | 43.58° N, 93.008° E | 20 |
| 内蒙古 Inner Mongolia | ||
| 7 海拉尔 Hailar | 48.90° N, 119.837° E | 18 |
| 8 白音敖包 Baiyinaobao | 43.53° N, 117.236° E | 21 |
| 9 兴和 Xinghe | 40.89° N, 113.885° E | 21 |
| 北京 Beijing | ||
| 10 东灵山 Dongling Mountain | 39.96° N, 115.439° E | 12 |
| 山西 Shanxi | ||
| 11 偏关 Pianguan | 39.44° N, 111.461° E | 22 |
| 陕西 Shaanxi | ||
| 12 鱼河 Yuhe | 37.98° N, 109.853° E | 23 |
| 13 南泥湾 Nanniwan | 36.32° N, 109.651° E | 20 |
| 14 西安 Xi’an | 34.28° N, 108.958° E | 27 |
| 甘肃 Gansu | ||
| 15 朱岔 Zhucha | 36.94° N, 102.589° E | 21 |
| 16 兴隆山 Xinglong Mountain 湖北 Hubei | 35.78° N, 104.048° E | 20 |
| 17 武汉 Wuhan | 30.55° N, 114.415° E | 26 |
| 总计 Total | 354 |
Table 1 Sampling sites and sample size of Medicago lupulinapopulations
| 居群 Population | 经纬度 Locality | 采样数目 Sample size |
|---|---|---|
| 新疆 Xinjiang | ||
| 1 喀什 Kashi | 39.44° N, 75.988° E | 23 |
| 2 伊犁 Yili | 43.88° N, 81.305° E | 20 |
| 3 那拉提 Nalati | 43.45° N, 83.283° E | 20 |
| 4 库尔勒 Korla | 41.75° N, 86.128° E | 17 |
| 5 奇台 Qitai | 43.70° N, 89.604° E | 23 |
| 6 巴里坤 Balikun | 43.58° N, 93.008° E | 20 |
| 内蒙古 Inner Mongolia | ||
| 7 海拉尔 Hailar | 48.90° N, 119.837° E | 18 |
| 8 白音敖包 Baiyinaobao | 43.53° N, 117.236° E | 21 |
| 9 兴和 Xinghe | 40.89° N, 113.885° E | 21 |
| 北京 Beijing | ||
| 10 东灵山 Dongling Mountain | 39.96° N, 115.439° E | 12 |
| 山西 Shanxi | ||
| 11 偏关 Pianguan | 39.44° N, 111.461° E | 22 |
| 陕西 Shaanxi | ||
| 12 鱼河 Yuhe | 37.98° N, 109.853° E | 23 |
| 13 南泥湾 Nanniwan | 36.32° N, 109.651° E | 20 |
| 14 西安 Xi’an | 34.28° N, 108.958° E | 27 |
| 甘肃 Gansu | ||
| 15 朱岔 Zhucha | 36.94° N, 102.589° E | 21 |
| 16 兴隆山 Xinglong Mountain 湖北 Hubei | 35.78° N, 104.048° E | 20 |
| 17 武汉 Wuhan | 30.55° N, 114.415° E | 26 |
| 总计 Total | 354 |
| 位点 Locus | 等位基因数 A | 预期杂合度 HE | 观察杂合度 HO | 遗传分化系数 FST | 基因流 Nm | 遗传分化系数RST |
|---|---|---|---|---|---|---|
| MTIC189 | 10 | 0.256 | 0.017 | 0.555 | 0.201 | 0.478 |
| MTIC432 | 5 | 0.177 | 0.034 | 0.643 | 0.139 | 0.58 |
| MTIC339 | 4 | 0.039 | 0.000 | 0.058 | 4.038 | -0.004 |
| MTIC345 | 8 | 0.320 | 0.085 | 0.463 | 0.290 | 0.447 |
| MTIC210 | 10 | 0.267 | 0.005 | 0.564 | 0.193 | 0.636 |
| MTIC14 | 6 | 0.180 | 0.000 | 0.604 | 0.164 | 0.703 |
| MTIC188 | 11 | 0.247 | 0.014 | 0.612 | 0.159 | 0.619 |
| MAA660870 | 5 | 0.157 | 0.003 | 0.605 | 0.163 | 0.508 |
| MtSSRNFAL05 | 7 | 0.266 | 0.017 | 0.649 | 0.135 | 0.528 |
| 平均 Mean | 7.333 | 0.212 | 0.020 | 0.528 | 0.224 | 0.499 |
Table 2 Genetic diversity in Medicago lupulina at nine EST-SSR loci
| 位点 Locus | 等位基因数 A | 预期杂合度 HE | 观察杂合度 HO | 遗传分化系数 FST | 基因流 Nm | 遗传分化系数RST |
|---|---|---|---|---|---|---|
| MTIC189 | 10 | 0.256 | 0.017 | 0.555 | 0.201 | 0.478 |
| MTIC432 | 5 | 0.177 | 0.034 | 0.643 | 0.139 | 0.58 |
| MTIC339 | 4 | 0.039 | 0.000 | 0.058 | 4.038 | -0.004 |
| MTIC345 | 8 | 0.320 | 0.085 | 0.463 | 0.290 | 0.447 |
| MTIC210 | 10 | 0.267 | 0.005 | 0.564 | 0.193 | 0.636 |
| MTIC14 | 6 | 0.180 | 0.000 | 0.604 | 0.164 | 0.703 |
| MTIC188 | 11 | 0.247 | 0.014 | 0.612 | 0.159 | 0.619 |
| MAA660870 | 5 | 0.157 | 0.003 | 0.605 | 0.163 | 0.508 |
| MtSSRNFAL05 | 7 | 0.266 | 0.017 | 0.649 | 0.135 | 0.528 |
| 平均 Mean | 7.333 | 0.212 | 0.020 | 0.528 | 0.224 | 0.499 |
| 居群 Population | 平均等位基因数na | 有效等位基因数ne | 观察杂合度 Ho | 预期杂合度 HE | 近交系数 F | 自交率 s | 多态率 PPL (%) | 私有基因数 Private alleles |
|---|---|---|---|---|---|---|---|---|
| 1 喀什 Kashi | 2.444 | 1.746 | 0.019 | 0.346 | 0.947 | 0.973 | 66.7 | 0 |
| 2 伊犁 Yili | 3.556 | 1.717 | 0.056 | 0.342 | 0.845 | 0.916 | 100 | 5 |
| 3 那拉提 Nalati | 2.667 | 1.868 | 0.028 | 0.388 | 0.932 | 0.965 | 88.9 | 1 |
| 4 库尔勒 Korla | 2.222 | 1.779 | 0.007 | 0.348 | 0.982 | 0.991 | 77.8 | 1 |
| 5 奇台 Qitai | 2.111 | 1.380 | 0.000 | 0.214 | 1.000 | 1.000 | 77.8 | 0 |
| 6 巴里坤 Balikun | 1.667 | 1.196 | 0.034 | 0.118 | 0.725 | 0.841 | 33.3 | 0 |
| 7 海拉尔 Hailar | 2.111 | 1.137 | 0.025 | 0.107 | 0.781 | 0.877 | 66.7 | 1 |
| 8 白音敖包 Baiyinaobao | 1.778 | 1.196 | 0.011 | 0.145 | 0.93 | 0.964 | 66.7 | 0 |
| 9 兴和 Xinghe | 1.889 | 1.223 | 0.011 | 0.153 | 0.931 | 0.964 | 77.8 | 0 |
| 10 东灵山 Dongling Mountain | 2.111 | 1.467 | 0.009 | 0.270 | 0.968 | 0.984 | 77.8 | 0 |
| 11 偏关 Pianguan | 2.000 | 1.183 | 0.035 | 0.137 | 0.752 | 0.858 | 88.9 | 0 |
| 12 鱼河 Yuhe | 2.333 | 1.294 | 0.034 | 0.188 | 0.824 | 0.904 | 66.7 | 1 |
| 13 南泥湾 Nanniwan | 1.667 | 1.246 | 0.000 | 0.152 | 1.000 | 1.000 | 55.6 | 1 |
| 14 西安 Xi’an | 1.444 | 1.049 | 0.012 | 0.042 | 0.716 | 0.835 | 33.3 | 0 |
| 15 朱岔 Zhucha | 3.556 | 1.448 | 0.042 | 0.252 | 0.840 | 0.913 | 77.8 | 8 |
| 16 兴隆山 Xinglongshan | 2.333 | 1.576 | 0.000 | 0.302 | 1.000 | 1.000 | 66.7 | 0 |
| 17 武汉 Wuhan | 2.333 | 1.122 | 0.009 | 0.104 | 0.921 | 0.959 | 100 | 3 |
| 平均 Mean | 2.248 | 1.390 | 0.020 | 0.212 | 0.888 | 0.938 | 71.9 | 1 |
Table 3 Genetic variability estimates for 17 Medicago lupulinapopulations
| 居群 Population | 平均等位基因数na | 有效等位基因数ne | 观察杂合度 Ho | 预期杂合度 HE | 近交系数 F | 自交率 s | 多态率 PPL (%) | 私有基因数 Private alleles |
|---|---|---|---|---|---|---|---|---|
| 1 喀什 Kashi | 2.444 | 1.746 | 0.019 | 0.346 | 0.947 | 0.973 | 66.7 | 0 |
| 2 伊犁 Yili | 3.556 | 1.717 | 0.056 | 0.342 | 0.845 | 0.916 | 100 | 5 |
| 3 那拉提 Nalati | 2.667 | 1.868 | 0.028 | 0.388 | 0.932 | 0.965 | 88.9 | 1 |
| 4 库尔勒 Korla | 2.222 | 1.779 | 0.007 | 0.348 | 0.982 | 0.991 | 77.8 | 1 |
| 5 奇台 Qitai | 2.111 | 1.380 | 0.000 | 0.214 | 1.000 | 1.000 | 77.8 | 0 |
| 6 巴里坤 Balikun | 1.667 | 1.196 | 0.034 | 0.118 | 0.725 | 0.841 | 33.3 | 0 |
| 7 海拉尔 Hailar | 2.111 | 1.137 | 0.025 | 0.107 | 0.781 | 0.877 | 66.7 | 1 |
| 8 白音敖包 Baiyinaobao | 1.778 | 1.196 | 0.011 | 0.145 | 0.93 | 0.964 | 66.7 | 0 |
| 9 兴和 Xinghe | 1.889 | 1.223 | 0.011 | 0.153 | 0.931 | 0.964 | 77.8 | 0 |
| 10 东灵山 Dongling Mountain | 2.111 | 1.467 | 0.009 | 0.270 | 0.968 | 0.984 | 77.8 | 0 |
| 11 偏关 Pianguan | 2.000 | 1.183 | 0.035 | 0.137 | 0.752 | 0.858 | 88.9 | 0 |
| 12 鱼河 Yuhe | 2.333 | 1.294 | 0.034 | 0.188 | 0.824 | 0.904 | 66.7 | 1 |
| 13 南泥湾 Nanniwan | 1.667 | 1.246 | 0.000 | 0.152 | 1.000 | 1.000 | 55.6 | 1 |
| 14 西安 Xi’an | 1.444 | 1.049 | 0.012 | 0.042 | 0.716 | 0.835 | 33.3 | 0 |
| 15 朱岔 Zhucha | 3.556 | 1.448 | 0.042 | 0.252 | 0.840 | 0.913 | 77.8 | 8 |
| 16 兴隆山 Xinglongshan | 2.333 | 1.576 | 0.000 | 0.302 | 1.000 | 1.000 | 66.7 | 0 |
| 17 武汉 Wuhan | 2.333 | 1.122 | 0.009 | 0.104 | 0.921 | 0.959 | 100 | 3 |
| 平均 Mean | 2.248 | 1.390 | 0.020 | 0.212 | 0.888 | 0.938 | 71.9 | 1 |
| 变异来源 Source of variation | 自由度 d. f. | 离差平方和(SSD) Sum of squares | 方差分量 Variance components | 方差分量比例(%) Percentage of variation | P |
|---|---|---|---|---|---|
| 居群间 Among populations | 16 | 951.886 | Va = 1.38653 | 59.02 | P<0.001 |
| 居群内个体间 Within populations | 337 | 619.494 | Vb = 0.87535 | 37.26 | P<0.001 |
| 个体内 Within individuals | 354 | 31.000 | Vc = 0.08757 | 3.73 | P<0.001 |
| 总计 Total | 707 | 1602.380 | 2.34945 |
Table 4 Molecular variance (AMOVA) analysis based on EST-SSR markers for Medicago lupulina
| 变异来源 Source of variation | 自由度 d. f. | 离差平方和(SSD) Sum of squares | 方差分量 Variance components | 方差分量比例(%) Percentage of variation | P |
|---|---|---|---|---|---|
| 居群间 Among populations | 16 | 951.886 | Va = 1.38653 | 59.02 | P<0.001 |
| 居群内个体间 Within populations | 337 | 619.494 | Vb = 0.87535 | 37.26 | P<0.001 |
| 个体内 Within individuals | 354 | 31.000 | Vc = 0.08757 | 3.73 | P<0.001 |
| 总计 Total | 707 | 1602.380 | 2.34945 |
Fig. 4 Unrooted neighbour-joining tree showing relationships between the 17 Medicago lupulina populations. Population codes are the same as in Table 1.
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