文献类型：期刊文献

中文题名：基于SSR荧光标记的不同品种(系)当归遗传关系分析及分子身份证构建

英文题名：Genetic relationship analysis and molecular ID codes construction of different cultivars(lines) of Angelica sinensis based on fluorescent labeled SSR markers

作者：朱田田[1,2,3];张明惠[1];王富胜[4];王圆圆[1,2];栗孟飞[5];晋玲[1,2]

第一作者：朱田田

机构：[1]甘肃中医药大学,甘肃兰州730000;[2]西北中藏药省部共建协同创新中心,甘肃兰州730000;[3]甘肃省高校中(藏)药化学与质量研究省级重点实验,甘肃兰州730000;[4]定西市农业科学研究院,甘肃定西743000;[5]甘肃农业大学干旱生境作物学重点实验室,甘肃兰州730070

第一机构：甘肃中医药大学

年份：2022

卷号：53

期号：12

起止页码：3774

中文期刊名：中草药

外文期刊名：Chinese Traditional and Herbal Drugs

收录：CSTPCD;;Scopus;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：甘肃省科技厅创新基地和人才计划项目(20JR5RA182);国家自然科学基金资助项目(32160083);国家自然科学基金资助项目(81360615);甘肃省教育厅“双一流”科研重点项目(GSSYLXM-05);甘肃省高校中(藏)药化学与质量研究省级重点实验室开放基金项目(zzy-2019-04);甘肃中医药大学科学研究与创新基金项目(2021KCZD-4)。

语种：中文

中文关键词：当归;SSR荧光标记;亲缘关系;分子身份证;遗传多样性

外文关键词：Angelica sinensis(Oliv.)Diels.;SSR fluorescent labeling;genetic relationship;molecular ID;genetic diversity

摘要：目的 利用荧光SSR分子标记对甘肃省11个当归Angelicasinensis品种(系)194份当归样品进行遗传多样性和遗传结构分析,并构建其分子身份证,为当归新品种(系)选育提供科学依据。方法 采用课题组前期筛选出10对SSR荧光引物对供试材料进行PCR扩增,利用Popgen软件进行遗传参数的计算,利用Structure软件进行群体结构分析,利用NTSYS软件构建各居群的Nei’s遗传距离UPGMA聚类图,利用GenALEx软件进行分子方差分析;对扩增带型进行数字加字母编码,构建当归分子身份证。结果 10对SSR荧光引物共获得观测等位位点57个,平均每对引物5.7个,当归群体的观测杂合度(Ho)、期望杂合度(He)和Nei期望杂合度(Nei)分别为0.341 4、0.407 0和0.385 5;Structure分析将194份当归样品分成5个类群;当归品种(系)居群间的分化系数FST为0.147 7;分子方差分析显示居群内的变异百分比达到78%;最终利用10对SSR荧光引物,构建了10位字符的分子身份证,可以区分11个当归品种(系)。结论 栽培当归在物种水平上遗传多样性较高,各品种(系)间遗传分化系数较低,基因交流频繁,遗传变异主要存在于居群内;构建的分子身份证可以区分不同当归品种(系)。
Objective The genetic structure of 194 Angelica sinensis samples from 11 A. sinensis cultivars(lines) in Gansu Province was studied by simple sequence repeat marker(SSR), and construct molecular identity cards, which provided a scientific reference for the breeding of new A. sinensis cultivars(lines), and laid a foundation for further research on A. sinensis provenance identification, genetic diversity and excellent trait markers. Methods The tested materials were amplified by PCR with 10 pairs of SSR primers, and the genetic parameters were calculated by Popgen software. The group structure was calculated by Structure software. The Nei’s genetic distance coefficient UPGMA cluster map of each population was constructed by NTSYS software. Analysis of molecular variance was performed by Gen ALEx software. Digits and letters were used to code amplified tapes, and constructed DNA molecular ID cards of A. sinensis. Results A total of 57 observed alleles were obtained from 10 pairs of SSR primers, with an average of 5.7 primers per pair. The observed heterozygosity(Ho), expected heterozygosity(He) and Nei expected heterozygosity(Nei) of A. sinensis populations were 0.341 4, 0.407 0and 0.385 5 respectively. A total of 194 A. sinensis samples were divided into five groups by structure analysis. The differentiation coefficient FST of A. sinensis populations was 0.147 7. Analysis of molecular variance showed that the percentage of variation in the population reached 78%. Finally, 10 pairs of SSR fluorescent primers were used to construct a 10-character molecular ID card, which could distinguish 11 A.sinensis cultivars(lines). Conclusion At the species level, cultivated A. sinensis had a high genetic diversity, and the differentiation coefficient of each cultivar(line) was low, with frequent gene exchange, and the genetic variation mainly existed in the populations. The constructed molecular ID codes can separate different cultivars(lines) of A. sinensis.