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基于SSR标记的粗皮桉群体遗传多样性和群体结构分析    

Genetic Diversity and Population Structure Analysis of Eucalyptus pellita F.Muell.Populations Using SSR Markers

文献类型:期刊文献

中文题名:基于SSR标记的粗皮桉群体遗传多样性和群体结构分析

英文题名:Genetic Diversity and Population Structure Analysis of Eucalyptus pellita F.Muell.Populations Using SSR Markers

作者:邢梦月[1,2] 王平[2] 赵海文[2] 翁启杰[2] 周长品[2] 王非[1] 李发根[2]

第一作者:邢梦月

机构:[1]东北林业大学园林学院,黑龙江哈尔滨150040;[2]中国林业科学研究院热带林业研究所,热带林业研究国家林业和草原局重点实验室,广东广州510520

年份:2025

卷号:38

期号:2

起止页码:106-115

中文期刊名:林业科学研究

外文期刊名:Forest Research

收录:;北大核心:【北大核心2023】;

基金:十四五国家重点研发计划课题(2022YFD2200203-2)国家级;中国林科院基本科研业务费专项(CAFYBB2021ZA001)。

语种:中文

中文关键词:粗皮桉;SSR;遗传多样性;遗传分化

外文关键词:Eucalyptus pellita;simple-sequence-repeat(SSR);genetic diversity;genetic differentiation

分类号:S792.39

摘要:[目的]利用SSR分子标记开展粗皮桉群体遗传多样性与遗传结构分析,为后期种质资源开发利用提供指导。[方法]以粗皮桉种源家系试验材料中来源于印度尼西亚、巴布亚新几内亚和澳大利亚的18个群体为研究对象,通过筛选出18对多态SSR引物,利用分子方差分析(AMOVA)、聚类分析和贝叶斯聚类算法等方法,分析粗皮桉群体遗传多样性、遗传分化及群体结构特征。[结果]18对SSR引物共检测到187个等位基因(N_(a)),平均有效等位基因数(N_(e))、观测杂合度(H_(o))、期望杂合度(H_(e))、多态性信息含量(PIC)、Shannon's信息指数(Ⅰ)和Nei's遗传多样性指数(H)分别为5.039、0.712、0.660、0.753、1.338和0.777,18对SSR引物的多态性较高。粗皮桉群体内遗传分化指数(Fst)平均为0.106,基因流(Nm)平均为1.610。粗皮桉群体总体遗传多样性水平较高,其中澳大利亚的WH、WD、SC、NC、NI群体,巴布亚新几内亚的MW群体遗传多样性水平高于其他群体。AMOVA分子方差分析显示,群体多样性水平变异主要来自于群体内(90%),而群体之间的遗传变异仅为10%。群体结构分析结果表明,18个粗皮桉群体可分为两大类,其中印度尼西亚和巴布亚新几内亚的群体与澳大利亚群体分化明显,表现出一定程度的岛屿分化效应。[结论]粗皮桉群体遗传分化水平中等,遗传变异主要来自于群体内,群体遗传多样性较高。种质资源收集和管理应优先考虑多样性较高的群体。本研究也为进一步优化粗皮桉种质资源收集、核心种质构建、新品种创制及开发利用提供科学依据。
[Objective]The genetic diversity and population structure of Eucalyptus pellita F.Muell.were investigated using simple sequence repeats(SSR)molecular markers to provide valuable insights for germplasm management and breeding.[Method]This study utilized a provenance/progeny trial consisting of 18 populations of E.pellita originating from Indonesia,Papua New Guinea and Australia.A total of 18 SSR markers were utilized to examine the genetic diversity and population structure.Analytical methods included analysis of molecular variance analysis(AMOVA),cluster analysis and Bayesian model-based clustering method.[Result]A total of 187 alleles(N_(a))were detected across the 18 SSR markers,with an average effective allele number(N_(e))of 5.033.The observed heterozygosity(H_(o))and expected heterozygosity(H_(e))were 0.712 and 0.660,respectively.Polymorphism information content(PIC),Shannon's information Index(I)and Nei's genetic diversity index(H)were 0.753,1.338 and 0.777,respectively,indicating considerable genetic diversity within the E.pellita populations.The average genetic differentiation index(Fst)and gene flow(Nm)were 0.106,and 1.610,respectively.And the average genetic diversity of E.pellita populations was high,with the highest levels found in WH,WD,SC,NC,NI populations in Australia,and MW populations in Papua New Guinea.AMOVA analysis revealed that 90%of the variation occurred at the intra-population level,while the remaining 10%was observed at the inter-population level.Population structure analysis divided the 18 populations into two distinct groups:populations from Indonesia and Papua New Guinea formed one group,showing significant differentiation from the Australian populations.This pattern suggests an island differentiation effect.[Conclusion]The study revealed moderate genetic differentiation and substantial intra-population genetic variation in E.pellita.The observed high genetic diversity suggests promising potential for tree breeding.Populations with high diversity should be prioritized in germplasm management to enhance the development of core collections and novel varieties.These findings provide a robust foundation for future germplasm collection,selection,and breeding strategies aimed at optimizing the utilization of E.pellita resources.

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