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首页> 外文期刊>The Indian journal of genetics & plant breeding >Analysis of drought tolerant and susceptible maize genotypes using SSR markers tagging candidate genes and consensus QTLs for drought tolerance
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Analysis of drought tolerant and susceptible maize genotypes using SSR markers tagging candidate genes and consensus QTLs for drought tolerance

机译:使用标记候选基因的SSR标记和抗旱的共有QTL分析玉米的耐旱和易感玉米基因型

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Drought stress, particularly at flowering stage, has been identified as the most important factor limiting maize production and productivity In India. In this study, a set of 24 tropical maize lines with differential responses to drought stress, including 16 lines from CIMMYT (Mexico) and eight lines from India, were characterized using 37 polymorphic microsatellite/SSR markers, including 29 SSRs tagging specific candidate genes involved in drought stress tolerance in maize. These genes, distributed on nine of the ten maize chromosomes, also colocalized with 17 'consensus QTLs' for various morpho-physiological traits associated with drought tolerance at flowering stage. The analysis using these 37 candidate gene-specific and drought 'anchor' markers tagging consensus QTLs led to unambiguous differentiation of the genotypes as well as assessment of genetic diversity in these important genetic resources. A total of 119 SSR alleles with a mean of 3.22 alleles per locus were identified. Polymorphism Information Content (PIC) of the 37 SSR loci ranged from 0.09 (umc1627) to 0.78 (umc1056 and bnlg1866), with a mean PIC of 0.56. The study resulted in identification of eleven highly Informative markers with PIC values >= 0.65, as well as five unique SSR alleles in DTPW-C9-F55-2-3, DTPW-C9-F115-1-4, DTPY-C9-F142-1-2, K64R and CML537. Pair-wise genetic similarity (GS) values, estimated using Jaccard's coefficient, ranged between 0.14 (HKI1025-K64R; HK11025-CML247) and 0.74 (HKI-335-HKI-209), with a mean GS of 0.31, indicating high level of genetic divergence among the genotypes selected for the study. Cluster analysis revealed clear genetic differentiation of the DTP (drought tolerant population) lines developed at CIMMYT (Mexico) from those developed and identified in India (e.g. CM140). Principal Component Analysis (PCA) aided in further elucidation of the genetic relationships as well as differentiation of genotypes largely based on their phenotypic responses to drought stress. The analysis also led to identification of specific, highly informative SSR markers, namely dupssr12 (bin 1.08), umc1042 (bin 2.07), bnlg1866 (bin 1.03), umc1056 (bin 5.03), dup13 (bin 7.04), umc1069 (bin 8.08), umc1962 (bin 10.03), bnlg1028 (bin 10.06) and umc1344 (bin 10.07), which significantly contributed to the differentiation of the drought tolerant and susceptible genotypes analysed in the study. These SSR markers could be further validated and potentially deployed in molecular marker-assisted breeding for drought tolerance in maize.
机译:在印度,干旱胁迫,特别是在开花期的干旱,已被认为是限制玉米产量和生产力的最重要因素。在这项研究中,使用37个多态微卫星/ SSR标记对包括24个热带玉米品系(包括来自CIMMYT(墨西哥)的16个品系和来自印度的8个品系)进行了表征,其中包括29个SSR标记涉及的特定候选基因玉米的耐旱性这些基因分布在十个玉米染色体中的九个上,还与17个“共识QTL”共定位,以表达与开花期耐旱性相关的各种形态生理特征。使用标记共有共识QTL的这37个候选基因特异性和干旱“锚”标记进行的分析导致基因型的明确区分以及对这些重要遗传资源中遗传多样性的评估。总共鉴定出119个SSR等位基因,平均每个位点为3.22个等位基因。 37个SSR位点的多态信息含量(PIC)为0.09(umc1627)至0.78(umc1056和bnlg1866),平均PIC为0.56。该研究鉴定出PIC值> = 0.65的11个高度信息量标记以及DTPW-C9-F55-2-3,DTPW-C9-F115-1-4,DTPY-C9-F142中的五个独特SSR等位基因-1-2,K64R和CML537。使用Jaccard系数估算的成对遗传相似性(GS)值介于0.14(HKI1025-K64R; HK11025-CML247)和0.74(HKI-335-HKI-209)之间,平均GS为0.31,表明高水平的选择用于研究的基因型之间的遗传差异。聚类分析表明,在CIMMYT(墨西哥)开发的DTP(耐旱种群)品系与在印度开发和鉴定的DTP(耐旱种群)品系之间存在明显的遗传差异。主成分分析(PCA)有助于进一步阐明遗传关系,并主要根据基因型对干旱胁迫的表型反应来区分基因型。该分析还导致鉴定出特定的,高度有用的SSR标记,即dupssr12(bin 1.08),umc1042(bin 2.07),bnlg1866(bin 1.03),umc1056(bin 5.03),dup13(bin 7.04),umc1069(bin 8.08) ,umc1962(bin 10.03),bnlg1028(bin 10.06)和umc1344(bin 10.07),这大大有助于研究中分析的耐旱和易感基因型的分化。这些SSR标记可以进一步验证,并有可能在分子标记辅助育种中用于玉米的耐旱性。

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