引用本文:
【打印本页】   【下载PDF全文】   【查看/发表评论】  【下载PDF阅读器】  【关闭】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被：浏览 1715次   下载 1587次 本文二维码信息
码上扫一扫！
分享到： 微信 更多
字体:加大+|默认|缩小-
木麻黄青枯病抗性与EST-SSR标记的关联分析
许秀玉1, 张勇2, 甘先华1, 张华新3, 张应中1, 王明怀1, 毛亦杨4
1.广东省森林培育与保护利用重点实验室/广东省林业科学研究院;2.中国林业科学研究院 热带林业研究所;3.中国林业科学研究院 国家林业局盐碱地研究中心;4.广东省森林资源保育中心
摘要:
为挖掘与木麻黄（Casuarina equisetifolia）青枯病抗性（bacterial wilt resistance，BWR）相关的分子标记及其有效等位变异，加速抗病品种的选育进程，以53 份木麻黄种质为自然群体材料，利用223 个木麻黄EST-SSR 标记对抗、感池进行标记分型与筛选，选择Structure 2.3.4 软件进行群体结构分析，SPAGeDi1-5a 软件计算亲缘关系系数，TASSEL 软件的混合线性模型（MLM）进行标记与抗病性状的关联分析。利用抗、感基因池筛选出用于关联分析且不偏离哈- 温平衡的标记47 个；群体结构分析 将木麻黄种质分为2 个组群；关联分析发现CASeSSR253、CASeSSR022、CASeSSR359、CASeSSR241、CASeSSR242、CASeSSR263、CASeSSR056、CASeSSR052、CASeSSR176、CASeSSR258 等10 个ESTSSR标记位点与木麻黄青枯病抗性显著相关（P < 0.05），对青枯病抗性的解释率在 12.6%~60.1% 之间； CASeSSR359-386 bp、CASeSSR359-370 bp、CASeSSR052-237 bp 及CASeSSR052-255 bp 等4 个优异等位变异具有较高的增效表型效应（> 20.0），CASeSSR253-202 bp、CASeSSR022-190 bp、CASeSSR022-196bp 等位点具有较大的等位变异减效表型效应（> 30.0）。
关键词:  木麻黄  青枯病  EST-SSR  关联分析
DOI：
分类号:
基金项目:中央财政林业改革发展资金([2017] GDTK-06)；广东省林业科技创新项目(2014KJCX017)
Correlation Analysis of Bacterial Wilt Resistance and EST-SSR Markers in Casuarina
XU Xiuyu1, ZHANG Yong2, GANG Xianhua1, ZHANG Huaxin3, Zhang Yingzhong1, Wang Minghuai1, Mao Yiyang4
1.Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Academy of Forestry;2.Research Institute of Tropical Forestry,Chinese Academy of Forestry;3.Research Centre on Saline and Alkali Lands of State Forestry Administration,Chinese Academy of Forestry;4.Forest Resources Conservation Center of Guang Dong Province
Abstract:
In this study we aimed to screen the molecular markers and their effective alleles related to bacterial wilt resistance (BWR) in Casuarina equisetifolia and promote the breeding process of resistant cultivar. 53 Casuarina germplasms were used as natural population materials, and 223 Casuarina EST-SSR markers were typed and screened with the gene pools of resistance and susceptibility. Structure 2.3.4 was used to analyze the population structure, SPAGeDi1-5a was used to calculate the kinship coefficient, and TASSEL mixed linear model program was used to perform correlation analysis between Casuarina BWR and markers. 47 related markers were screened and they did not deviate from Hardy-Weinberg equilibrium. Casuarina germplasm was divided into two groups by population structure analysis. Correlation analysis results suggested that EST-SSR marker sites of CASeSSR253, CASeSSR022, CASeSSR359, CASeSSR241, CASeSSR242, CASeSSR263, CASeSSR056, CASeSSR052, CASeSSR176 and CASeSSR258 were significantly related to Casuarina BWR (P<0.05), which explained 12.6% to 60.1% of Casuarina BWR. Alleles of CASeSSR359-386bp, CASeSSR359-370bp, CASeSSR052-237bp and CASeSSR052-255bp displayed relatively high plus effects on phenotypic effect (> 20.0), and alleles of CASeSSR253-202bp, CASeSSR022-190bp, CASeSSR022-196bp had high minus effects on phenotypic effect (> 30.0).
Key words:  Casuarina  bacterial wilt  EST-SSR  association analysis