基于SSR标记的印度芥菜(Brassica juncea L. Czern and Coss.)耐盐遗传连锁定位与QTL鉴定

Q3 Agricultural and Biological Sciences
Rekha Patel , Sumit Jangra , Ram Avtar , Neelam R. Yadav , Ram C. Yadav
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引用次数: 0

摘要

土壤盐分是限制作物产量的主要环境制约因素之一,全球近7%的总面积受到盐分的影响。盐胁迫引起的氧化应激在萌发和幼苗生长过程中引起膜损伤。印度芥菜是印度主要的油料作物,其产量和生产力受到盐胁迫的严重影响。通过常规方法选育耐盐型芸苔品种非常困难且耗时。因此,了解与油菜耐盐性相关的分子成分,有利于油菜耐盐性的选育。本研究利用CS52(耐盐)与RH30(盐敏感)杂交的F2:3定位群体,鉴定了与耐盐相关的数量性状位点(qtl)。通过对亲本和F2:3连续2代(F2和F2:3)在控制和盐胁迫条件下14个形态生理性状的分析,解释了控制条件下表型变异的比例。利用SSR标记进行定位研究。利用42个ssr标记构建了芥菜(Brassica juncea) 2298.5 cM (Haldane)耐盐相关位点的遗传连锁图谱。在8个连锁组(c1 ~ c8)上,共定位了41个在亲本(CS52和RH30)中显示多态性的SSRs。一个标记(nga 129)没有映射到任何连锁组,因此被排除在映射之外。连锁组5 (C5;317.9 cM)最长,连锁组1 (C1, 255.0 cM)最短。在F2:3群体中,共鉴定出控制8个性状的15个qtl。这些qtl解释了12.44 ~ 60.63%的表型变异,LOD评分范围为3.62 ~ 5.97。其中,与膜损伤相关的QMI4.1表型方差为51.28%,LOD评分为3.34。单株生物产量相关QTL QBYP8.1表型变异率为60.63%,LOD评分为3.62。单株种子产量相关QTL (QSYP4.1)的LOD得分最高,为5.97。主要QTL为单株生物产量QTL (QBYP8.1)、单株硅果QTL (QSP4.1)、一次枝QTL (QPB4.1)、单株硅果QTL (QSS4.1、QSS4.2)、单株种子产量QTL (QSYP4.1)和膜损伤QTL (QMI8.1),表型变异大于50%。本研究发现的这些qtl也需要在其他群体中得到证实,以便这些qtl可以用于标记辅助选择和育种,以提高芥菜的耐盐性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic linkage mapping and QTL identification for salinity tolerance in Indian mustard (Brassica juncea L. Czern and Coss.) using SSR markers

Soil salinity is one of the major environmental constraints that limits crop yield and nearly 7% of the total area worldwide is affected by salinity. Salinity-induced oxidative stress causes membrane damage during germination and seedling growth. Indian mustard is a major oilseed crop in India and its production and productivity are severely affected by salt stress. Breeding Brassica cultivars for salinity tolerance by conventional means is very difficult and time-consuming. Therefore, understanding the molecular components associated with salt tolerance is needed to facilitate breeding for salt tolerance in Brassica. In this investigation, quantitative trait loci (QTLs) associated with salt tolerance were identified using F2:3 mapping population developed from a cross between CS52 (salinity tolerant) and RH30 (salinity sensitive). Parents and F2:3 were evaluated under controlled and salinity stress conditions for 14 morpho-physiological traits for two consecutive generations (F2 and F2:3), explaining proportion of the phenotypic variance under control condition. Simple sequence repeat (SSR) markers were used for mapping studies. A genetic linkage map based on 42 simple sequence repeats (SSRs) markers was constructed covering 2298.5 ​cM (Haldane) to identify the loci associated with salt tolerance in Brassica juncea. Forty-one SSRs showing polymorphism in the parents (CS52 and RH30) were mapped on 8 linkage groups (C1–C8). One marker (nga 129) did not map to any of the linkage group and was excluded from mapping. Linkage group 5 (C5; 317.9 ​cM) was longest and linkage group 1 (C1, 255.0 ​cM) was shortest. Further, we identified 15 QTLs controlling 8 traits using F2:3 population. These QTLs explained 12.44–60.63% of the phenotypic variation with a LOD score range of 3.62–5.97. Out of these QTLs, QMI4.1 related to membrane injury showed 51.28% phenotypic variance with a LOD score of 3.34. QTL QBYP8.1 related to biological yield per plant showed 60.63% phenotypic variance at a LOD score of 3.62. The highest LOD score of 5.97 was recorded for QTL related to seed yield per plant (QSYP4.1). Major QTLs were QTL for biological yield per plant (QBYP8.1), QTL for siliquae per plant (QSP4.1), QTL for primary branches (QPB4.1), QTLs for seed per siliqua (QSS4.1, QSS4.2), QTL for seed yield per plant (QSYP4.1), and QTL for membrane injury (QMI8.1) which showed more than 50% phenotypic variance. These QTLs identified in our study need to be confirmed in other populations as well so that these can be used in marker-assisted selection and breeding to enhance salt tolerance in Brassica juncea.

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来源期刊
Oil Crop Science
Oil Crop Science Food Science, Plant Science, Agronomy and Crop Science
CiteScore
3.40
自引率
0.00%
发文量
20
审稿时长
74 days
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