| 白及种质资源遗传多样性分析 |
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| 引用本文： | 王洁,朱锡彭,王腾斐,朱建军,李文俊,邢丙聪,郑颖.白及种质资源遗传多样性分析[J].浙江农林大学学报,2023,40(2):321-329. |
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| 作者姓名： | 王洁 朱锡彭 王腾斐 朱建军 李文俊 邢丙聪 郑颖 |
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| 作者单位： | 1.浙江农林大学 浙江省特色中药资源保护与创新利用重点实验室，浙江 杭州 3113002.温州科技职业学院 温州市园艺植物育种重点实验室，浙江 温州 3250063.成都市农林科学院，四川 成都 611130 |
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| 基金项目： | “十四五”浙江省农业(中药材)新品种选育重大科技专项(2021C02074)；浙江省特色中药资源保护与创新利用重点实验室资助项目(2021E10013)；温州市园艺植物育种重点实验室开放项目(ZD202003) |
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| 摘 要： | 目的 采用简单重复序列间扩增(ISSR)和相关序列扩增多态性(SRAP)等2种标记技术分析不同种源白及Bletilla striata样本的遗传多样性水平和遗传关系，为白及种质的鉴定、分类、保护和开发提供理论依据。 方法 从100个ISSR引物和238对SRAP引物组合中筛选出多态性高、扩增条带清晰、重复性好的引物进行聚合酶链式反应(PCR)扩增，用Popgene 32.0计算来自浙江、云南、贵州和四川等省32个不同种源白及的遗传多样性参数和遗传距离，用NTSYS-pc 2.10e进行聚类分析。 结果 从100个ISSR引物中筛选出11个多态性较好的引物，共扩增出188个条带，平均每个引物扩增出17.09个条带，其中多态性位点174个，占总扩增片段的92.20%；从238对SRAP引物组合中筛选出11对多态性较好的引物组合，共扩增出216个条带，平均每个引物扩增出19.64个条带，其中多态性位点202个，占总扩增片段的93.52%。综合ISSR和SRAP的标记结果发现:四川白及种源的遗传多样性水平最高，贵州最低；非加权组平均法(UPGMA聚类)和主坐标分析(PCoA分析)结果显示:聚为一类的白及种源大多来自同一省份，云南省与四川省白及种源的遗传距离较近，浙江省和贵州省白及种源的遗传距离较近，说明遗传距离与地理距离存在一定的重合，但并不呈正相关。 结论 本研究所选白及种源间具有较高的遗传多样性，ISSR和SRAP标记技术均可有效揭示白及的遗传多样性和亲缘关系。图4表4参25
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| 关 键 词： | 白及 遗传多样性 简单重复序列间扩增(ISSR)标记 相关序列扩增多态性(SRAP)标记 |
| 收稿时间： | 2021-10-09 |
Genetic diversity analysis of Bletilla striata germplasm by ISSR and SRAP markers |
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| WANG Jie,ZHU Xipeng,WANG Tengfei,ZHU Jianjun,LI Wenjun,XING Bingcong,ZHENG Ying.Genetic diversity analysis of Bletilla striata germplasm by ISSR and SRAP markers[J].Journal of Zhejiang A&F University,2023,40(2):321-329. |
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| Authors: | WANG Jie ZHU Xipeng WANG Tengfei ZHU Jianjun LI Wenjun XING Bingcong ZHENG Ying |
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| Institution: | 1.Zhejiang Key Laboratory of Conservation and Innovative Utilization of Traditional Chinese Medicine Resources, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China2.Wenzhou Key Laboratory of Horticultural Plant Breeding, Wenzhou Vocational College of Science & Technology, Wenzhou 325006, Zhejiang, China3.Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, Sichuan, China |
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| Abstract: | Objective The objective is to analyze the genetic diversity and genetic relationship of 32 Bletilla striata samples from different provenances by ISSR and SRAP markers, so as to provide theoretical basis for identification, classification, conservation and development of B. striata germplasm. Method Primers with high polymorphism, clear amplification bands and good repeatability were selected from 100 ISSR primers and 238 pairs of SRAP primers for polymerase chain reaction (PCR) amplification. Genetic diversity parameters and genetic distance of B. striata from 32 different provenances in Zhejiang, Yunnan, Guizhou and Sichuan were calculated by Popgene 32.0, and cluster analysis was performed by NTSYS-PC 2.10e. Result 11 highly polymorphic primers were screened from 100 ISSR primers, and a total of 188 bands were amplified, with an average of 17.09 bands per primer, among which 174 were polymorphic loci, accounting for 92.20% of the total amplified fragments. 11 pairs of highly polymorphic primer pairs were screened from 238 pairs of SRAP primer pairs, and a total of 216 bands were amplified, with an average of 19.64 bands per primer, including 202 polymorphic loci, accounting for 93.52% of the total amplified fragments. Based on ISSR and SRAP markers, the genetic diversity level of B. striata population in Sichuan Province was the highest, while that in Guizhou Province was the lowest. UPGMA and PCoA analysis showed that the clustered B. striata samples were mostly from the same province. The genetic distance of B. striata population between Yunnan Province and Sichuan Province was relatively close, and that between Zhejiang Province and Guizhou Province was relatively close, indicating that there was a certain overlap between genetic distance and geographical distance, but there was no positive correlation. Conclusion B. striata provenances selected in this study have high genetic diversity. Both ISSR and SRAP markers can effectively reveal the genetic diversity and genetic relationship of B. striata. Ch, 4 fig. 4 tab. 25 ref.] |
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