生物多样性 ›› 2009, Vol. 17 ›› Issue (3): 296-302. DOI: 10.3724/SP.J.1003.2009.09043
田华1,3, 康明1,2, 李丽1,3, 姚小洪1, 黄宏文1,2,*()
收稿日期:
2009-02-23
接受日期:
2009-04-04
出版日期:
2009-05-20
发布日期:
2009-05-20
通讯作者:
黄宏文
作者简介:
*E-mail: huanghw@mail.scbg.ac.cn基金资助:
Hua Tian1,3, Ming Kang1,2, Li Li1,3, Xiaohong Yao1, Hongwen Huang1,2,*()
Received:
2009-02-23
Accepted:
2009-04-04
Online:
2009-05-20
Published:
2009-05-20
Contact:
Hongwen Huang
摘要:
采用8对微卫星分子标记对中国板栗(Castanea mollissima)的28个自然居群进行了遗传多样性与遗传结构分析。在849个个体上扩增得到128个等位基因, 每位点平均等位基因数(A)为16。中国板栗居群的平均预期杂合度(HE)为0.678, 平均观察杂合度(HO)为0.590。华中地区的中国板栗居群遗传多样性最高(A= 8.112, HE= 0.705, HO= 0.618), 其次为西北地区和华东地区, 而西南地区遗传多样性最低(A= 6.611, HE= 0.640, HO= 0.559)。基于无限等位基因模型(IAM)和基于逐步突变模型(SMM)的遗传分化系数分别为FST= 0.120和RST= 0.208。分子方差分析(AMOVA)结果表明中国板栗野生居群的遗传变异主要存在于居群内(87.16%)。Mantel检测揭示遗传距离与地理距离之间无显著相关性, 表明基因流不是主导中国板栗居群遗传结构的关键因素。华中地区(尤其是神农架及其周边地区)是中国板栗遗传多样性的现代分布中心, 因而应该得到优先保护, 同时该区域的野生板栗居群可优先作为栽培板栗遗传育种的材料和基因库。
田华, 康明, 李丽, 姚小洪, 黄宏文 (2009) 中国板栗自然居群微卫星(SSR)遗传多样性. 生物多样性, 17, 296-302. DOI: 10.3724/SP.J.1003.2009.09043.
Hua Tian, Ming Kang, Li Li, Xiaohong Yao, Hongwen Huang (2009) Genetic diversity in natural populations of Castanea mollissima inferred from nuclear SSR markers. Biodiversity Science, 17, 296-302. DOI: 10.3724/SP.J.1003.2009.09043.
居群 Population | 采样数 Sample size | 经纬度 Locality | 平均等位基因数(A) | 平均有效等位基因数(AE) | 观察杂合度(HO) | 预期杂合度(HE) |
---|---|---|---|---|---|---|
华东地区 Eastern China | 142 | 7.500 | 3.802 | 0.615 | 0.685 | |
1. 江苏宜兴 Yixing, Jiangsu | 36 | 31.218°N, 119.693°E | 10.000 | 4.567 | 0.623 | 0.759 |
2. 江西婺源 Wuyuan, Jiangxi | 16 | 29.248°N, 117.866°E | 5.500 | 2.938 | 0.594 | 0.619 |
3. 浙江临安 Lin’an, Zhejiang | 29 | 30.368°N, 119.423°E | 8.375 | 4.472 | 0.596 | 0.706 |
4. 浙江兰溪 Lanxi, Zhejiang | 21 | 29.390°N, 119.406°E | 6.250 | 3.391 | 0.655 | 0.668 |
5. 安徽岩寺 Yansi, Anhui | 23 | 29.418°N, 118.293°E | 7.000 | 3.427 | 0.684 | 0.680 |
6. 安徽绩溪 Jixi, Anhui | 17 | 30.110°N, 118.835°E | 7.875 | 4.017 | 0.536 | 0.677 |
华中地区 Central China | 341 | 8.112 | 4.291 | 0.618 | 0.705 | |
7. 湖南吉首 Jishou, Hunan | 42 | 28.406°N, 109.811°E | 7.750 | 3.769 | 0.591 | 0.703 |
8. 湖南绥宁 Suining, Hunan | 26 | 26.492°N, 110.139°E | 7.375 | 3.992 | 0.595 | 0.679 |
9. 湖南永顺 Yongshun, Hunan | 10 | 28.991°N, 109.869°E | 5.000 | 3.490 | 0.589 | 0.658 |
10. 湖北神农架 Shengnongjia, Hubei | 37 | 31.448°N, 110.390°E | 8.750 | 4.517 | 0.641 | 0.713 |
11. 湖北武当山 Wudangshan, Hubei | 27 | 32.491°N, 110.309°E | 8.125 | 4.744 | 0.644 | 0.707 |
12. 湖北房县 Fangxian County, Hubei | 40 | 31.857°N, 110.740°E | 7.750 | 4.328 | 0.575 | 0.683 |
13. 湖北房县 Fangxian County, Hubei | 49 | 31.859°N, 110.643°E | 9.875 | 5.061 | 0.631 | 0.735 |
14. 湖北秭归 Zigui, Hubei | 43 | 30.747°N, 110.793°E | 10.375 | 4.406 | 0.598 | 0.721 |
15. 湖北宜昌 Yichang, Hubei | 57 | 30.769°N, 111.331°E | 10.375 | 4.627 | 0.630 | 0.737 |
16. 湖北宜昌 Yichang, Hubei | 10 | 30.751°N, 111.311°E | 5.750 | 3.979 | 0.688 | 0.709 |
西南地区 Southwestern China | 255 | 6.611 | 3.354 | 0.559 | 0.640 | |
17. 广西南丹 Nandan, Guangxi | 32 | 24.992°N, 107.615°E | 6.875 | 3.178 | 0.605 | 0.672 |
18. 贵州荔波 Libo, Guizhou | 20 | 25.411°N, 107.964°E | 6.000 | 2.980 | 0.519 | 0.631 |
19. 贵州榕江 Rongjiang, Guizhou | 31 | 25.922°N, 108.587°E | 8.125 | 3.799 | 0.598 | 0.685 |
20. 贵州紫云 Ziyun, Guizhou | 24 | 25.956°N, 106.115°E | 6.625 | 3.292 | 0.609 | 0.600 |
21. 贵州遵义 Zunyi, Guizhou | 30 | 27.756°N, 106.792°E | 6.125 | 3.279 | 0.583 | 0.600 |
22. 云南镇雄 Zhenxiong, Yunnan | 35 | 27.438°N, 104.851°E | 6.375 | 3.035 | 0.557 | 0.606 |
23. 云南麻栗坡 Malipo, Yunnan | 27 | 23.178°N, 104.858°E | 6.375 | 3.683 | 0.497 | 0.673 |
24. 四川邛崃 Qionglai, Sichuan | 21 | 30.440°N, 103.258°E | 5.875 | 3.299 | 0.548 | 0.635 |
25. 重庆城口 Chengkou, Chongqing | 35 | 32.030°N, 108.628°E | 7.125 | 3.638 | 0.518 | 0.661 |
西北地区 Northwestern China | 111 | 7.208 | 3.630 | 0.539 | 0.686 | |
26. 甘肃徽县 Huixian, Gansu | 42 | 33.970°N, 106.006°E | 7.750 | 4.050 | 0.564 | 0.707 |
27. 甘肃徽县 Huixian, Gansu | 33 | 34.358°N, 106.649°E | 7.000 | 3.221 | 0.500 | 0.659 |
28. 山西夏县 Xiaxian, Shanxi | 36 | 35.147°N, 111.442°E | 6.875 | 3.620 | 0.553 | 0.693 |
平均 Mean | 30.321 | 7.402 | 3.814 | 0.590 | 0.678 | |
合计 Total | 849 | 7.333 | 3.796 | 0.593 | 0.678 |
表1 中国板栗28个自然居群的地理位置和遗传多样性
Table 1 Locations and indices of genetic diversity for the 28 populations of Castanea mollissima in China
居群 Population | 采样数 Sample size | 经纬度 Locality | 平均等位基因数(A) | 平均有效等位基因数(AE) | 观察杂合度(HO) | 预期杂合度(HE) |
---|---|---|---|---|---|---|
华东地区 Eastern China | 142 | 7.500 | 3.802 | 0.615 | 0.685 | |
1. 江苏宜兴 Yixing, Jiangsu | 36 | 31.218°N, 119.693°E | 10.000 | 4.567 | 0.623 | 0.759 |
2. 江西婺源 Wuyuan, Jiangxi | 16 | 29.248°N, 117.866°E | 5.500 | 2.938 | 0.594 | 0.619 |
3. 浙江临安 Lin’an, Zhejiang | 29 | 30.368°N, 119.423°E | 8.375 | 4.472 | 0.596 | 0.706 |
4. 浙江兰溪 Lanxi, Zhejiang | 21 | 29.390°N, 119.406°E | 6.250 | 3.391 | 0.655 | 0.668 |
5. 安徽岩寺 Yansi, Anhui | 23 | 29.418°N, 118.293°E | 7.000 | 3.427 | 0.684 | 0.680 |
6. 安徽绩溪 Jixi, Anhui | 17 | 30.110°N, 118.835°E | 7.875 | 4.017 | 0.536 | 0.677 |
华中地区 Central China | 341 | 8.112 | 4.291 | 0.618 | 0.705 | |
7. 湖南吉首 Jishou, Hunan | 42 | 28.406°N, 109.811°E | 7.750 | 3.769 | 0.591 | 0.703 |
8. 湖南绥宁 Suining, Hunan | 26 | 26.492°N, 110.139°E | 7.375 | 3.992 | 0.595 | 0.679 |
9. 湖南永顺 Yongshun, Hunan | 10 | 28.991°N, 109.869°E | 5.000 | 3.490 | 0.589 | 0.658 |
10. 湖北神农架 Shengnongjia, Hubei | 37 | 31.448°N, 110.390°E | 8.750 | 4.517 | 0.641 | 0.713 |
11. 湖北武当山 Wudangshan, Hubei | 27 | 32.491°N, 110.309°E | 8.125 | 4.744 | 0.644 | 0.707 |
12. 湖北房县 Fangxian County, Hubei | 40 | 31.857°N, 110.740°E | 7.750 | 4.328 | 0.575 | 0.683 |
13. 湖北房县 Fangxian County, Hubei | 49 | 31.859°N, 110.643°E | 9.875 | 5.061 | 0.631 | 0.735 |
14. 湖北秭归 Zigui, Hubei | 43 | 30.747°N, 110.793°E | 10.375 | 4.406 | 0.598 | 0.721 |
15. 湖北宜昌 Yichang, Hubei | 57 | 30.769°N, 111.331°E | 10.375 | 4.627 | 0.630 | 0.737 |
16. 湖北宜昌 Yichang, Hubei | 10 | 30.751°N, 111.311°E | 5.750 | 3.979 | 0.688 | 0.709 |
西南地区 Southwestern China | 255 | 6.611 | 3.354 | 0.559 | 0.640 | |
17. 广西南丹 Nandan, Guangxi | 32 | 24.992°N, 107.615°E | 6.875 | 3.178 | 0.605 | 0.672 |
18. 贵州荔波 Libo, Guizhou | 20 | 25.411°N, 107.964°E | 6.000 | 2.980 | 0.519 | 0.631 |
19. 贵州榕江 Rongjiang, Guizhou | 31 | 25.922°N, 108.587°E | 8.125 | 3.799 | 0.598 | 0.685 |
20. 贵州紫云 Ziyun, Guizhou | 24 | 25.956°N, 106.115°E | 6.625 | 3.292 | 0.609 | 0.600 |
21. 贵州遵义 Zunyi, Guizhou | 30 | 27.756°N, 106.792°E | 6.125 | 3.279 | 0.583 | 0.600 |
22. 云南镇雄 Zhenxiong, Yunnan | 35 | 27.438°N, 104.851°E | 6.375 | 3.035 | 0.557 | 0.606 |
23. 云南麻栗坡 Malipo, Yunnan | 27 | 23.178°N, 104.858°E | 6.375 | 3.683 | 0.497 | 0.673 |
24. 四川邛崃 Qionglai, Sichuan | 21 | 30.440°N, 103.258°E | 5.875 | 3.299 | 0.548 | 0.635 |
25. 重庆城口 Chengkou, Chongqing | 35 | 32.030°N, 108.628°E | 7.125 | 3.638 | 0.518 | 0.661 |
西北地区 Northwestern China | 111 | 7.208 | 3.630 | 0.539 | 0.686 | |
26. 甘肃徽县 Huixian, Gansu | 42 | 33.970°N, 106.006°E | 7.750 | 4.050 | 0.564 | 0.707 |
27. 甘肃徽县 Huixian, Gansu | 33 | 34.358°N, 106.649°E | 7.000 | 3.221 | 0.500 | 0.659 |
28. 山西夏县 Xiaxian, Shanxi | 36 | 35.147°N, 111.442°E | 6.875 | 3.620 | 0.553 | 0.693 |
平均 Mean | 30.321 | 7.402 | 3.814 | 0.590 | 0.678 | |
合计 Total | 849 | 7.333 | 3.796 | 0.593 | 0.678 |
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.327** | 0.201 | 0.201*** | 0.096 | 0.136 | 0.092 | 0.008 | 0.081 | 0.166* | 0.144 | 0.115 | 0.112 | 0.117 | 0.092 | 0.114 | 0.168* | 0.257* | 0.240** | 0.149 | 0.262 | 0.338** | 0.093 | 0.161 | 0.222 | 0.221* | 0.263* | 0.173 | |
2 | 0.103*** | 0.208* | 0.568*** | 0.463** | 0.257 | 0.272** | 0.326** | 0.342* | 0.185 | 0.203 | 0.154 | 0.135 | 0.191 | 0.190* | 0.107 | 0.164* | 0.111 | 0.314** | 0.380* | 0.501* | 0.395** | 0.242* | 0.193 | 0.107 | 0.263 | 0.367* | 0.306 | |
3 | 0.117*** | 0.103*** | 0.553*** | 0.394** | 0.047 | 0.189* | 0.254** | 0.317** | 0.047 | 0.261** | 0.145 | 0.101 | 0.174 | 0.071 | 0.128 | 0.121 | 0.095 | 0.260 | 0.120 | 0.242 | 0.156 | 0.141 | 0.168 | 0.196 | 0.360*** | 0.456*** | 0.361** | |
4 | 0.052* | 0.130*** | 0.140*** | 0.088 | 0.492*** | 0.239*** | 0.165 | 0.174 | 0.453*** | 0.233 | 0.320** | 0.302** | 0.241** | 0.310*** | 0.374** | 0.452*** | 0.549*** | 0.401** | 0.502*** | 0.604*** | 0.684*** | 0.329** | 0.452** | 0.473*** | 0.300** | 0.175 | 0.093 | |
5 | 0.081*** | 0.120*** | 0.165*** | 0.094*** | 0.289* | 0.079 | 0.097 | 0.050 | 0.273** | 0.160 | 0.195* | 0.181 | 0.123 | 0.165 | 0.219 | 0.280* | 0.381* | 0.215 | 0.311 | 0.427 | 0.571*** | 0.140 | 0.293* | 0.344* | 0.269* | 0.222* | 0.125 | |
6 | 0.089*** | 0.088*** | 0.079*** | 0.114*** | 0.110*** | 0.113 | 0.194 | 0.226* | 0.007 | 0.201** | 0.100* | 0.081* | 0.121* | 0.050 | 0.084 | 0.081 | 0.083 | 0.150 | 0.059 | 0.182 | 0.265 | 0.054 | 0.111 | 0.184 | 0.310*** | 0.396*** | 0.310** | |
7 | 0.102*** | 0.121*** | 0.114*** | 0.109*** | 0.102*** | 0.094*** | 0.088 | 0.007 | 0.098 | 0.114 | 0.097 | 0.058 | 0.014 | 0.033 | 0.047 | 0.095 | 0.145 | 0.130 | 0.162 | 0.303 | 0.376** | 0.022 | 0.153 | 0.194 | 0.242* | 0.252* | 0.163 | |
8 | 0.077*** | 0.118*** | 0.132*** | 0.140*** | 0.127*** | 0.107*** | 0.086*** | 0.061 | 0.205** | 0.111 | 0.109 | 0.105 | 0.099 | 0.106 | 0.105 | 0.174* | 0.280* | 0.266 | 0.228 | 0.365* | 0.412*** | 0.102 | 0.172 | 0.218 | 0.181 | 0.216 | 0.122 | |
9 | 0.122*** | 0.153** | 0.140*** | 0.153*** | 0.123*** | 0.109** | 0.016** | 0.094*** | 0.176** | 0.085 | 0.122 | 0.072 | 0.006 | 0.061 | 0.070 | 0.185* | 0.261** | 0.201 | 0.265 | 0.424 | 0.535** | 0.074 | 0.229* | 0.253* | 0.211* | 0.163 | 0.080 | |
10 | 0.082*** | 0.085*** | 0.099*** | 0.125*** | 0.085*** | 0.064*** | 0.069*** | 0.090*** | 0.049*** | 0.188 | 0.099 | 0.068 | 0.090 | 0.035 | 0.049 | 0.043 | 0.039 | 0.156 | 0.080 | 0.207 | 0.255* | 0.053 | 0.120* | 0.173 | 0.292*** | 0.370** | 0.293* | |
11 | 0.137*** | 0.108*** | 0.122*** | 0.157*** | 0.114*** | 0.083*** | 0.101*** | 0.138*** | 0.117*** | 0.101*** | 0.022 | 0.042 | 0.066 | 0.122 | 0.051 | 0.123 | 0.212 | 0.135 | 0.330 | 0.442* | 0.433** | 0.095 | 0.080 | 0.079 | 0.028 | 0.100 | 0.051 | |
12 | 0.108*** | 0.081*** | 0.098*** | 0.137*** | 0.102*** | 0.032*** | 0.088*** | 0.097*** | 0.091** | 0.068*** | 0.030*** | 0.011 | 0.071 | 0.069 | 0.015 | 0.036 | 0.122 | 0.097 | 0.241 | 0.351* | 0.329* | 0.034 | 0.003 | 0.025 | 0.100 | 0.226** | 0.143 | |
13 | 0.103*** | 0.075*** | 0.086*** | 0.118*** | 0.103*** | 0.029** | 0.062*** | 0.101*** | 0.067*** | 0.056*** | 0.032*** | 0.017*** | 0.024 | 0.020 | 0.004 | 0.039 | 0.087 | 0.118 | 0.195 | 0.322* | 0.260 | 0.033 | 0.054 | 0.066 | 0.139* | 0.219** | 0.144 | |
14 | 0.071*** | 0.080*** | 0.102*** | 0.073*** | 0.121*** | 0.067*** | 0.091*** | 0.104*** | 0.099*** | 0.070*** | 0.103*** | 0.078*** | 0.065*** | 0.027 | 0.011 | 0.080 | 0.117 | 0.146 | 0.198 | 0.341* | 0.341*** | 0.047 | 0.136** | 0.158 | 0.172** | 0.179 | 0.118 | |
15 | 0.073*** | 0.071*** | 0.077*** | 0.077*** | 0.111*** | 0.039*** | 0.079*** | 0.094*** | 0.094*** | 0.061*** | 0.074*** | 0.046*** | 0.031*** | 0.029*** | 0.028 | 0.051 | 0.085 | 0.148 | 0.108 | 0.249 | 0.236* | 0.027 | 0.119 | 0.159 | 0.236** | 0.285** | 0.199* | |
16 | 0.082*** | 0.099*** | 0.113*** | 0.144*** | 0.112*** | 0.102** | 0.029 | 0.060** | 0.021 | 0.056*** | 0.117*** | 0.094** | 0.077*** | 0.097*** | 0.095*** | 0.012 | 0.045 | 0.146 | 0.205 | 0.356 | 0.372** | 0.022 | 0.040 | 0.053 | 0.153 | 0.236* | 0.155 | |
17 | 0.095*** | 0.068*** | 0.102*** | 0.121*** | 0.097*** | 0.075*** | 0.083*** | 0.116*** | 0.076*** | 0.060*** | 0.091*** | 0.067*** | 0.057*** | 0.100*** | 0.071*** | 0.082*** | 0.063 | 0.157 | 0.211 | 0.357 | 0.387** | 0.024 | 0.056 | 0.096 | 0.225* | 0.339* | 0.243 | |
18 | 0.138*** | 0.110*** | 0.141*** | 0.165*** | 0.128*** | 0.102*** | 0.080*** | 0.123*** | 0.084*** | 0.037* | 0.117*** | 0.094*** | 0.076*** | 0.088*** | 0.089*** | 0.082*** | 0.084*** | 0.193 | 0.210 | 0.360 | 0.340* | 0.106 | 0.144 | 0.144 | 0.326*** | 0.406** | 0.326* | |
19 | 0.070*** | 0.152*** | 0.179*** | 0.105*** | 0.108*** | 0.158*** | 0.131*** | 0.174*** | 0.149*** | 0.117*** | 0.162*** | 0.156*** | 0.137*** | 0.101*** | 0.113*** | 0.143*** | 0.120*** | 0.165*** | 0.288 | 0.380 | 0.457** | 0.079 | 0.120 | 0.185 | 0.267 | 0.329* | 0.258* | |
20 | 0.165*** | 0.172*** | 0.140*** | 0.195*** | 0.202*** | 0.108*** | 0.169*** | 0.151*** | 0.181*** | 0.151*** | 0.199*** | 0.162*** | 0.138*** | 0.148*** | 0.112*** | 0.178*** | 0.191*** | 0.187*** | 0.241*** | 0.071 | 0.290* | 0.155 | 0.275 | 0.346* | 0.430** | 0.478* | 0.389* | |
21 | 0.172*** | 0.212*** | 0.174*** | 0.226*** | 0.235*** | 0.156*** | 0.205*** | 0.181*** | 0.243*** | 0.180*** | 0.234*** | 0.196*** | 0.176*** | 0.183*** | 0.161*** | 0.190*** | 0.223*** | 0.230*** | 0.246*** | 0.135*** | 0.409* | 0.299 | 0.381 | 0.454** | 0.520*** | 0.572** | 0.489** | |
22 | 0.178*** | 0.193*** | 0.152*** | 0.219*** | 0.238*** | 0.165*** | 0.172*** | 0.155*** | 0.217*** | 0.161*** | 0.224*** | 0.200*** | 0.170*** | 0.154*** | 0.144*** | 0.175*** | 0.201*** | 0.186*** | 0.255*** | 0.161*** | 0.217*** | 0.379*** | 0.392*** | 0.374* | 0.497*** | 0.576** | 0.510** | |
23 | 0.099*** | 0.097*** | 0.128*** | 0.114*** | 0.079*** | 0.072*** | 0.074*** | 0.106*** | 0.065*** | 0.058*** | 0.071*** | 0.052*** | 0.050*** | 0.089*** | 0.059*** | 0.073*** | 0.039*** | 0.093*** | 0.139*** | 0.184*** | 0.225*** | 0.188*** | 0.063 | 0.128 | 0.222* | 0.295* | 0.195 | |
24 | 0.113*** | 0.098*** | 0.117*** | 0.146*** | 0.104*** | 0.080** | 0.103*** | 0.110*** | 0.105** | 0.055* | 0.098*** | 0.071** | 0.081*** | 0.073*** | 0.083*** | 0.091** | 0.061*** | 0.050** | 0.158*** | 0.202*** | 0.237*** | 0.192*** | 0.071*** | 0.009 | 0.166 | 0.325 | 0.234 | |
25 | 0.134** | 0.130*** | 0.167*** | 0.158*** | 0.082*** | 0.136*** | 0.138*** | 0.158** | 0.170** | 0.118*** | 0.128*** | 0.118*** | 0.120*** | 0.129*** | 0.133*** | 0.133** | 0.149*** | 0.137*** | 0.157*** | 0.215*** | 0.236*** | 0.242*** | 0.141*** | 0.106** | 0.145 | 0.301* | 0.235* | |
26 | 0.114*** | 0.088*** | 0.134*** | 0.140*** | 0.103*** | 0.091*** | 0.128*** | 0.120*** | 0.120*** | 0.082*** | 0.052*** | 0.058*** | 0.065*** | 0.087*** | 0.084*** | 0.100*** | 0.088*** | 0.095*** | 0.151*** | 0.187*** | 0.214*** | 0.212*** | 0.082*** | 0.063*** | 0.117*** | 0.090 | 0.076 | |
27 | 0.137*** | 0.137*** | 0.167*** | 0.157*** | 0.090*** | 0.123*** | 0.128*** | 0.170*** | 0.131*** | 0.113*** | 0.076*** | 0.093*** | 0.086*** | 0.130*** | 0.120*** | 0.134*** | 0.111*** | 0.147*** | 0.150*** | 0.238*** | 0.256*** | 0.278*** | 0.123*** | 0.143*** | 0.146*** | 0.071*** | 0.023 | |
28 | 0.089*** | 0.129*** | 0.167*** | 0.126*** | 0.081*** | 0.114*** | 0.138*** | 0.132*** | 0.168*** | 0.110*** | 0.109*** | 0.108*** | 0.104*** | 0.118*** | 0.113*** | 0.132*** | 0.133*** | 0.157*** | 0.114*** | 0.195*** | 0.207*** | 0.248*** | 0.135*** | 0.150*** | 0.100*** | 0.105*** | 0.090*** |
表2 中国板栗28个自然居群两两居群间的遗传分化系数FST(对角线下方)和RST(对角线上方)及其显著性 (居群编号同表1)
Table 2 Estimated pairwise FST (below diagonal) and RST (above diagonal) values for Castanea mollissimapopulations. Population codes see Table 1.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.327** | 0.201 | 0.201*** | 0.096 | 0.136 | 0.092 | 0.008 | 0.081 | 0.166* | 0.144 | 0.115 | 0.112 | 0.117 | 0.092 | 0.114 | 0.168* | 0.257* | 0.240** | 0.149 | 0.262 | 0.338** | 0.093 | 0.161 | 0.222 | 0.221* | 0.263* | 0.173 | |
2 | 0.103*** | 0.208* | 0.568*** | 0.463** | 0.257 | 0.272** | 0.326** | 0.342* | 0.185 | 0.203 | 0.154 | 0.135 | 0.191 | 0.190* | 0.107 | 0.164* | 0.111 | 0.314** | 0.380* | 0.501* | 0.395** | 0.242* | 0.193 | 0.107 | 0.263 | 0.367* | 0.306 | |
3 | 0.117*** | 0.103*** | 0.553*** | 0.394** | 0.047 | 0.189* | 0.254** | 0.317** | 0.047 | 0.261** | 0.145 | 0.101 | 0.174 | 0.071 | 0.128 | 0.121 | 0.095 | 0.260 | 0.120 | 0.242 | 0.156 | 0.141 | 0.168 | 0.196 | 0.360*** | 0.456*** | 0.361** | |
4 | 0.052* | 0.130*** | 0.140*** | 0.088 | 0.492*** | 0.239*** | 0.165 | 0.174 | 0.453*** | 0.233 | 0.320** | 0.302** | 0.241** | 0.310*** | 0.374** | 0.452*** | 0.549*** | 0.401** | 0.502*** | 0.604*** | 0.684*** | 0.329** | 0.452** | 0.473*** | 0.300** | 0.175 | 0.093 | |
5 | 0.081*** | 0.120*** | 0.165*** | 0.094*** | 0.289* | 0.079 | 0.097 | 0.050 | 0.273** | 0.160 | 0.195* | 0.181 | 0.123 | 0.165 | 0.219 | 0.280* | 0.381* | 0.215 | 0.311 | 0.427 | 0.571*** | 0.140 | 0.293* | 0.344* | 0.269* | 0.222* | 0.125 | |
6 | 0.089*** | 0.088*** | 0.079*** | 0.114*** | 0.110*** | 0.113 | 0.194 | 0.226* | 0.007 | 0.201** | 0.100* | 0.081* | 0.121* | 0.050 | 0.084 | 0.081 | 0.083 | 0.150 | 0.059 | 0.182 | 0.265 | 0.054 | 0.111 | 0.184 | 0.310*** | 0.396*** | 0.310** | |
7 | 0.102*** | 0.121*** | 0.114*** | 0.109*** | 0.102*** | 0.094*** | 0.088 | 0.007 | 0.098 | 0.114 | 0.097 | 0.058 | 0.014 | 0.033 | 0.047 | 0.095 | 0.145 | 0.130 | 0.162 | 0.303 | 0.376** | 0.022 | 0.153 | 0.194 | 0.242* | 0.252* | 0.163 | |
8 | 0.077*** | 0.118*** | 0.132*** | 0.140*** | 0.127*** | 0.107*** | 0.086*** | 0.061 | 0.205** | 0.111 | 0.109 | 0.105 | 0.099 | 0.106 | 0.105 | 0.174* | 0.280* | 0.266 | 0.228 | 0.365* | 0.412*** | 0.102 | 0.172 | 0.218 | 0.181 | 0.216 | 0.122 | |
9 | 0.122*** | 0.153** | 0.140*** | 0.153*** | 0.123*** | 0.109** | 0.016** | 0.094*** | 0.176** | 0.085 | 0.122 | 0.072 | 0.006 | 0.061 | 0.070 | 0.185* | 0.261** | 0.201 | 0.265 | 0.424 | 0.535** | 0.074 | 0.229* | 0.253* | 0.211* | 0.163 | 0.080 | |
10 | 0.082*** | 0.085*** | 0.099*** | 0.125*** | 0.085*** | 0.064*** | 0.069*** | 0.090*** | 0.049*** | 0.188 | 0.099 | 0.068 | 0.090 | 0.035 | 0.049 | 0.043 | 0.039 | 0.156 | 0.080 | 0.207 | 0.255* | 0.053 | 0.120* | 0.173 | 0.292*** | 0.370** | 0.293* | |
11 | 0.137*** | 0.108*** | 0.122*** | 0.157*** | 0.114*** | 0.083*** | 0.101*** | 0.138*** | 0.117*** | 0.101*** | 0.022 | 0.042 | 0.066 | 0.122 | 0.051 | 0.123 | 0.212 | 0.135 | 0.330 | 0.442* | 0.433** | 0.095 | 0.080 | 0.079 | 0.028 | 0.100 | 0.051 | |
12 | 0.108*** | 0.081*** | 0.098*** | 0.137*** | 0.102*** | 0.032*** | 0.088*** | 0.097*** | 0.091** | 0.068*** | 0.030*** | 0.011 | 0.071 | 0.069 | 0.015 | 0.036 | 0.122 | 0.097 | 0.241 | 0.351* | 0.329* | 0.034 | 0.003 | 0.025 | 0.100 | 0.226** | 0.143 | |
13 | 0.103*** | 0.075*** | 0.086*** | 0.118*** | 0.103*** | 0.029** | 0.062*** | 0.101*** | 0.067*** | 0.056*** | 0.032*** | 0.017*** | 0.024 | 0.020 | 0.004 | 0.039 | 0.087 | 0.118 | 0.195 | 0.322* | 0.260 | 0.033 | 0.054 | 0.066 | 0.139* | 0.219** | 0.144 | |
14 | 0.071*** | 0.080*** | 0.102*** | 0.073*** | 0.121*** | 0.067*** | 0.091*** | 0.104*** | 0.099*** | 0.070*** | 0.103*** | 0.078*** | 0.065*** | 0.027 | 0.011 | 0.080 | 0.117 | 0.146 | 0.198 | 0.341* | 0.341*** | 0.047 | 0.136** | 0.158 | 0.172** | 0.179 | 0.118 | |
15 | 0.073*** | 0.071*** | 0.077*** | 0.077*** | 0.111*** | 0.039*** | 0.079*** | 0.094*** | 0.094*** | 0.061*** | 0.074*** | 0.046*** | 0.031*** | 0.029*** | 0.028 | 0.051 | 0.085 | 0.148 | 0.108 | 0.249 | 0.236* | 0.027 | 0.119 | 0.159 | 0.236** | 0.285** | 0.199* | |
16 | 0.082*** | 0.099*** | 0.113*** | 0.144*** | 0.112*** | 0.102** | 0.029 | 0.060** | 0.021 | 0.056*** | 0.117*** | 0.094** | 0.077*** | 0.097*** | 0.095*** | 0.012 | 0.045 | 0.146 | 0.205 | 0.356 | 0.372** | 0.022 | 0.040 | 0.053 | 0.153 | 0.236* | 0.155 | |
17 | 0.095*** | 0.068*** | 0.102*** | 0.121*** | 0.097*** | 0.075*** | 0.083*** | 0.116*** | 0.076*** | 0.060*** | 0.091*** | 0.067*** | 0.057*** | 0.100*** | 0.071*** | 0.082*** | 0.063 | 0.157 | 0.211 | 0.357 | 0.387** | 0.024 | 0.056 | 0.096 | 0.225* | 0.339* | 0.243 | |
18 | 0.138*** | 0.110*** | 0.141*** | 0.165*** | 0.128*** | 0.102*** | 0.080*** | 0.123*** | 0.084*** | 0.037* | 0.117*** | 0.094*** | 0.076*** | 0.088*** | 0.089*** | 0.082*** | 0.084*** | 0.193 | 0.210 | 0.360 | 0.340* | 0.106 | 0.144 | 0.144 | 0.326*** | 0.406** | 0.326* | |
19 | 0.070*** | 0.152*** | 0.179*** | 0.105*** | 0.108*** | 0.158*** | 0.131*** | 0.174*** | 0.149*** | 0.117*** | 0.162*** | 0.156*** | 0.137*** | 0.101*** | 0.113*** | 0.143*** | 0.120*** | 0.165*** | 0.288 | 0.380 | 0.457** | 0.079 | 0.120 | 0.185 | 0.267 | 0.329* | 0.258* | |
20 | 0.165*** | 0.172*** | 0.140*** | 0.195*** | 0.202*** | 0.108*** | 0.169*** | 0.151*** | 0.181*** | 0.151*** | 0.199*** | 0.162*** | 0.138*** | 0.148*** | 0.112*** | 0.178*** | 0.191*** | 0.187*** | 0.241*** | 0.071 | 0.290* | 0.155 | 0.275 | 0.346* | 0.430** | 0.478* | 0.389* | |
21 | 0.172*** | 0.212*** | 0.174*** | 0.226*** | 0.235*** | 0.156*** | 0.205*** | 0.181*** | 0.243*** | 0.180*** | 0.234*** | 0.196*** | 0.176*** | 0.183*** | 0.161*** | 0.190*** | 0.223*** | 0.230*** | 0.246*** | 0.135*** | 0.409* | 0.299 | 0.381 | 0.454** | 0.520*** | 0.572** | 0.489** | |
22 | 0.178*** | 0.193*** | 0.152*** | 0.219*** | 0.238*** | 0.165*** | 0.172*** | 0.155*** | 0.217*** | 0.161*** | 0.224*** | 0.200*** | 0.170*** | 0.154*** | 0.144*** | 0.175*** | 0.201*** | 0.186*** | 0.255*** | 0.161*** | 0.217*** | 0.379*** | 0.392*** | 0.374* | 0.497*** | 0.576** | 0.510** | |
23 | 0.099*** | 0.097*** | 0.128*** | 0.114*** | 0.079*** | 0.072*** | 0.074*** | 0.106*** | 0.065*** | 0.058*** | 0.071*** | 0.052*** | 0.050*** | 0.089*** | 0.059*** | 0.073*** | 0.039*** | 0.093*** | 0.139*** | 0.184*** | 0.225*** | 0.188*** | 0.063 | 0.128 | 0.222* | 0.295* | 0.195 | |
24 | 0.113*** | 0.098*** | 0.117*** | 0.146*** | 0.104*** | 0.080** | 0.103*** | 0.110*** | 0.105** | 0.055* | 0.098*** | 0.071** | 0.081*** | 0.073*** | 0.083*** | 0.091** | 0.061*** | 0.050** | 0.158*** | 0.202*** | 0.237*** | 0.192*** | 0.071*** | 0.009 | 0.166 | 0.325 | 0.234 | |
25 | 0.134** | 0.130*** | 0.167*** | 0.158*** | 0.082*** | 0.136*** | 0.138*** | 0.158** | 0.170** | 0.118*** | 0.128*** | 0.118*** | 0.120*** | 0.129*** | 0.133*** | 0.133** | 0.149*** | 0.137*** | 0.157*** | 0.215*** | 0.236*** | 0.242*** | 0.141*** | 0.106** | 0.145 | 0.301* | 0.235* | |
26 | 0.114*** | 0.088*** | 0.134*** | 0.140*** | 0.103*** | 0.091*** | 0.128*** | 0.120*** | 0.120*** | 0.082*** | 0.052*** | 0.058*** | 0.065*** | 0.087*** | 0.084*** | 0.100*** | 0.088*** | 0.095*** | 0.151*** | 0.187*** | 0.214*** | 0.212*** | 0.082*** | 0.063*** | 0.117*** | 0.090 | 0.076 | |
27 | 0.137*** | 0.137*** | 0.167*** | 0.157*** | 0.090*** | 0.123*** | 0.128*** | 0.170*** | 0.131*** | 0.113*** | 0.076*** | 0.093*** | 0.086*** | 0.130*** | 0.120*** | 0.134*** | 0.111*** | 0.147*** | 0.150*** | 0.238*** | 0.256*** | 0.278*** | 0.123*** | 0.143*** | 0.146*** | 0.071*** | 0.023 | |
28 | 0.089*** | 0.129*** | 0.167*** | 0.126*** | 0.081*** | 0.114*** | 0.138*** | 0.132*** | 0.168*** | 0.110*** | 0.109*** | 0.108*** | 0.104*** | 0.118*** | 0.113*** | 0.132*** | 0.133*** | 0.157*** | 0.114*** | 0.195*** | 0.207*** | 0.248*** | 0.135*** | 0.150*** | 0.100*** | 0.105*** | 0.090*** |
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-value |
---|---|---|---|---|---|
地区间 Among regions | 3 | 100.241 | 0.03734 | 1.68 | P = 0.00196 |
地区内居群间 Among populations within regions | 24 | 408.499 | 0.24851 | 11.16 | P<0.001 |
居群内个体间 Within populations | 1,670 | 3,233.717 | 1.93636 | 87.16 | P<0.001 |
表3 居群遗传结构的分子方差分析
Table 3 Analysis of molecular variance (AMOVA) of genetic diversity for Castanea mollissima populations
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-value |
---|---|---|---|---|---|
地区间 Among regions | 3 | 100.241 | 0.03734 | 1.68 | P = 0.00196 |
地区内居群间 Among populations within regions | 24 | 408.499 | 0.24851 | 11.16 | P<0.001 |
居群内个体间 Within populations | 1,670 | 3,233.717 | 1.93636 | 87.16 | P<0.001 |
[1] | Anagnostakis SL (1992) Measuring resistant of chestnut tree to chestnut blight. Canadian Journal of Forest Research, 22,568-571. |
[2] | Bohonak AJ (2002) IBD (Isolation by Distance): a program for analyses of isolation by distance. Journal of Heredity, 93,153-154. |
[3] | Buck EJ, Hadonou M, James CJ, Blakesley D, Russell K (2003) Isolation and characterization of polymorphic microsatellites in European chestnut (Castanea sativa Mill.). Molecular Ecology, 3,239-241. |
[4] | Burnham CR (1988) Restoration of the American chestnut. American Scientist, 76,478-487. |
[5] | Doyle JJ, Doyle JL (1987) A rapid isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 9,11-15. |
[6] | Fornari B, Taurchini D, Villani F (1999) Genetic structure and diversity of two Turkish Castanea sativa Mill. population investigated with isozyme and RAPD polymorphisms. Journal of Genetics and Breeding, 53,315-325. |
[7] | Gao S, Shain L (1994) Reduced polygalacturonase activity in dsRNA-containing hypovirulent strains of Cryphonectria parasitica. In: Proceedings of the International Chestnut Conference (eds Double ML, MacDondald WL), pp.35-40. West Virginia University Press, Morgantown, USA. |
[8] | Goudet J (2001) FSTAT, A Program to Estimate and Test Gene Diversities and Fixation Indices (version 2.9.3). http://www.unil.ch/izea/softwares/fstat.html. |
[9] | Hardy OJ, Vekemans X (2002) SPAGeDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Molecular Ecology Notes, 2,618-620. |
[10] |
Huang HW, Dane F, Kubisiak TL (1998) Allozyme and RAPD analysis of the genetic and geographic variation in wild population of the American chestnut Castanea dentate (Fagaceae). American Journal of Botany, 85,1013-1021.
URL PMID |
[11] |
Huang HW, Dane F, Norton JD (1994) Allozyme diversity in Chinese, Seguin and American chestnut (Castanea spp.). Theoretical and Applied Genetics, 88,981-985.
URL PMID |
[12] | Huang HW (黄宏文) (1998) Review of current research of the world Castanea species and importance of germplasm conservation of China native Castanea species. Journal of Wuhan Botanical Research (武汉植物学研究), 16,171-176. (in Chinese) |
[13] | Lang P (郎萍), Huang HW (黄宏文) (1999) Genetic diversity and geographic variation in natural populations of the endemic Castanea species in China. Acta Botanica Sinica (植物学报), 41,651-657. (in Chinese with English abstract) |
[14] | Liu GH (刘国华), Fang JY (方精云) (2001) Spatial patterns of chestnuts (Castanea millissima) and its species geographical distribution in China. Acta Ecologica Sinica (生态学报), 21,164-170. (in Chinese with English abstract) |
[15] |
Mantel N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research, 27,209-220.
URL PMID |
[16] | Marinoni D, Akkak A, Bounous G, Edwards KJ, Botta R (2003) Development and characterization of microsatellite markers in Castanea sativa (Mill). Molecular Breeding, 11,127-136. |
[17] | Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes, 6,288-295. |
[18] | Pigliucci M, Villani F, Benedettelli S (1990) Spatial patterns of genetic variability in Italian chestnut (Castanea sativa). Canadian Journal of Botany, 68,1962-1967. |
[19] | Sanguinetti CJ, Dias NE, Simpson AJG (1994) Rapid silver staining and recovery of PCR products separated on polyacrylamide gels. Biotechniques, 17,915-919. |
[20] |
Sanou H, Lovett PN, Bouvet JM (2005) Comparison of quantitative and molecular variation in agroforestry populations of the shea tree (Vitellaria paradoxa C.F. Gaertn) in Mali. Molecular Ecology, 14,2601-2610.
URL PMID |
[21] | Schneider S, Roessli D, Excoffier L (2000) ARLEQUIN Ver 2.000: A Software for Population Genetics Data Analysis. Genetics and Biochemistry Laboratory, Department of Anthropology, University of Geneva, Switzerland. |
[22] | Tanaka T, Yamamoto T, Suzuki M (2005) Genetic diversity of Castanea crenata in northern Japan assessed by SSR markers. Breeding Science, 55,271-277. |
[23] | Villani F, Pigliucci M, Benedettelli S, Cherubini M (1991) Genetic differentiation among Turkish chestnut (Castanea sativa Mill.) populations. Heredity, 66,131-136. |
[24] | Wang Y, Kang M, Huang HW (2008) Microsatellite loci transferability in chestnut. Journal of the American Society for Horticultural Science, 133,692-700. |
[25] | Wang Y (王英), Kang M (康明), Huang HW (黄宏文) (2006) Subpopulation genetic structure in a panmictic population as revealed by molecular markers: a case study of Castanea sequinii using SSR markers. Journal of Plant Ecology (植物生态学报), 30,147-156. (in Chinese with English abstract) |
[26] | Xu XL (徐小林), Xu LA (徐立安), Huang MR (黄敏仁), Wang ZR (王章荣) (2004) Genetic diversity of microsatellites (SSRs) of natural populations of Quercus variabilis. Hereditas (Beijing) (遗传), 26,683-688. (in Chinese with English abstract) |
[27] | Yamamoto T, Tahaka T, Kotobuki K, Matsuta N, Suzuki M, Huyashi T (2003) Characterization of simple sequence repeats in Japanese chestnut. Journal Horticultural Science and Biotechnology, 78,197-203. |
[28] | Zhang H (张辉), Liu L (柳鎏) (1998) The genetic diversity of Castanea mollissima and the effect of artificial selection. Acta Botanica Yunnanica (云南植物研究), 20,81-88. (in Chinese with English abstract) |
[29] | Zhang H (张辉), Liu L (柳鎏), Villani F (1998) A research on genetic variation of Castanea mollissima at six isozyme loci. Chinese Biodiversity (生物多样性), 6,282-286. (in Chinese with English abstract) |
[30] | Zhang YH (张宇和), Liu L (柳鎏), Liang WJ (梁维坚), Zhang YM (张育明) (2005) Chinese Fruit Species (中国果树志). China Forestry Publishing House, Beijing. (in Chinese) |
[31] | Zhou ZK (周浙昆) (1999) Fossils of the Fagaceae and their implications in systematics and biogeography. Acta Phytotaxonomica Sinica (植物分类学报), 37,369-385. (in Chinese with English abstract) |
[1] | 孙维悦, 舒江平, 顾钰峰, 莫日根高娃, 杜夏瑾, 刘保东, 严岳鸿. 基于保护基因组学揭示荷叶铁线蕨的濒危机制[J]. 生物多样性, 2022, 30(7): 21508-. |
[2] | 牛晓锋, 王晓梅, 张研, 赵志鹏, 樊恩源. 鲟鱼分子鉴定方法的整合应用[J]. 生物多样性, 2022, 30(6): 22034-. |
[3] | 崔静, 徐明芳, 章群, 李瑶, 曾晓舒, 李莎. 基于3种线粒体标记探讨中日沿海角木叶鲽遗传多样性差异[J]. 生物多样性, 2022, 30(5): 21485-. |
[4] | 陶克涛, 白东义, 图格琴, 赵若阳, 安塔娜, 铁木齐尔·阿尔腾齐米克, 宝音德力格尔, 哈斯, 芒来, 韩海格. 基于基因组SNPs对东亚家马不同群体遗传多样性的评估[J]. 生物多样性, 2022, 30(5): 21031-. |
[5] | 孙军, 宋煜尧, 施义锋, 翟键, 燕文卓. 近十年中国海洋生物多样性研究进展[J]. 生物多样性, 2022, 30(10): 22526-. |
[6] | 栗冬梅, 杨卫红, 李庆多, 韩茜, 宋秀平, 潘虹, 冯云. 巴尔通体在滇西南蝙蝠中高度流行并具有丰富的遗传变异特征[J]. 生物多样性, 2021, 29(9): 1245-1255. |
[7] | 姚志, 郭军, 金晨钟, 刘勇波. 中国纳入一级保护的极小种群野生植物濒危机制[J]. 生物多样性, 2021, 29(3): 394-408. |
[8] | 叶俊伟, 田斌. 中国西南地区重要木本油料植物扁核木的遗传结构及成因[J]. 生物多样性, 2021, 29(12): 1629-1637. |
[9] | 向登高, 李跃飞, 李新辉, 陈蔚涛, 马秀慧. 多基因联合揭示海南鲌的遗传结构与遗传多样性[J]. 生物多样性, 2021, 29(11): 1505-1512. |
[10] | 李潮,金锦锦,罗锦桢,王春晖,王俊杰,赵俊. 唐鱼养殖种群与广州附近4个野生种群的遗传关系[J]. 生物多样性, 2020, 28(4): 474-484. |
[11] | 吴漫玲, 姚兰, 艾训儒, 朱江, 朱强, 王进, 黄小, 洪建峰. 水杉原生种群核心种质资源的繁殖特性[J]. 生物多样性, 2020, 28(3): 303-313. |
[12] | 苏金源, 燕语, 李冲, 李丹, 杜芳. 通过遗传多样性探讨极小种群野生植物的致濒机理及保护策略: 以裸子植物为例[J]. 生物多样性, 2020, 28(3): 376-384. |
[13] | 杨蕾蕾,王文广,郎校安,张苏州,姚张秀,徐婷,李远球,严丹峰,杨建芬,王亚玲,张寿洲. 极小种群广东含笑野外资源现状[J]. 生物多样性, 2019, 27(9): 1016-1020. |
[14] | 张亚红,贾会霞,王志彬,孙佩,曹德美,胡建军. 滇杨种群遗传多样性与遗传结构[J]. 生物多样性, 2019, 27(4): 355-365. |
[15] | 于少帅, 林彩丽, 王圣洁, 张文鑫, 田国忠. 植原体tuf基因与其上游部分基因结构和相关基因启动子保守区域特征及活性分析[J]. 生物多样性, 2018, 26(7): 738-748. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||
备案号:京ICP备16067583号-7
Copyright © 2022 版权所有 《生物多样性》编辑部
地址: 北京香山南辛村20号, 邮编:100093
电话: 010-62836137, 62836665 E-mail: biodiversity@ibcas.ac.cn