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首页> 外文期刊>Journal of genetics >Determination of genetic relationships among elite thermosensitive genic male sterile lines (TGMS) of rice (Oryza sativa L.) employing morphological and simple sequence repeat (SSR) markers
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Determination of genetic relationships among elite thermosensitive genic male sterile lines (TGMS) of rice (Oryza sativa L.) employing morphological and simple sequence repeat (SSR) markers

机译:利用形态和简单序列重复(SSR)标记确定水稻(Oryza sativa L.)优良热敏性雄性不育系(TGMS)之间的遗传关系

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摘要

A set of morphological traits and SSR markers were used to determine the genetic relationship among 12 elite thermosensitive genic male sterile (TGMS) lines developed at three different research institutions of India. Agro-morphological data recorded on 20 morphological traits revealed a wide base of genetic variation and a set of four morphological traits could distinguish most of the TGMS lines. Analysis with 30 SSR markers (20 EST-SSRs and 10 genomic SSRs) revealed 27 markers to be polymorphic, amplifying a total of 83 alleles. Each SSR marker amplified 2-6 alleles with an average of 2.76 alleles per marker and a PIC value varying from 0.54 to 0.96. Cluster analysis based on SSR and morphological data clearly differentiated the lines according to their source of origin. Correlation analysis between morphological and molecular data revealed a very poor association (r = 0.06), which could be attributed to selection pressure, genetic drift, sampling error and unknown relationship among related lines. The SSR markers discriminated the genotypes distinctly and quantified the genetic diversity precisely among the TGMS lines. Data on the yield per plant indicated that the genotypes grouping under a similar cluster showed same heterotic behaviour as compared to the genotypes from different clusters when crossed to similar pollinators.
机译:一组形态学特征和SSR标记用于确定在印度三个不同研究机构开发的12个精英热敏性雄性不育系(TGMS)之间的遗传关系。记录的20个形态性状的农业形态数据显示出广泛的遗传变异基础,而一套4种形态性状可以区分大多数TGMS品系。用30个SSR标记(20个EST-SSR和10个基因组SSR)进行分析,发现27个标记具有多态性,共扩增了83个等位基因。每个SSR标记扩增了2-6个等位基因,每个标记平均有2.76个等位基因,PIC值从0.54到0.96不等。基于SSR和形态学数据的聚类分析根据品系的来源明确区分了品系。形态和分子数据之间的相关性分析显示关联性很差(r = 0.06),这可能归因于选择压力,遗传漂移,采样误差以及相关品系之间的未知关系。 SSR标记可清楚地区分基因型,并精确定量了TGMS品系之间的遗传多样性。单株产量数据表明,与相似的传粉者杂交时,与来自不同簇的基因型相比,在相似簇下的基因型表现出相同的杂种行为。

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