Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces.

Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces.
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DOI:
10.1186/s12870-021-03272-3
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发表时间:
2021-10-23
期刊:
影响因子:
5.3
通讯作者:
Siddique KHM
Siddique KHM
中科院分区:
生物学2区
文献类型:
--
作者:
Beena R;Kirubakaran S;Nithya N;Manickavelu A;Sah RP;Abida PS;Sreekumar J;Jaslam PM;Rejeth R;Jayalekshmy VG;Roy S;Manju RV;Viji MM;Siddique KHM

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亚洲品种主要代表在全球水稻面板选择测序和鉴定耐旱性的新等位基因。印度次大陆的多样性遗传资源,尽管窝藏有用的等位基因,可以改善农艺性状,逆境恢复力和生产力的代表不多。这些水稻种质资源是培育适应不同水稻生态系统、不同作物生长期干旱胁迫的水稻品种的宝贵遗传资源。水稻种质资源的核心集合,适应西南印度半岛基因型使用SSR标记,其特征在于对比水分制度,以关联基因组区域的生理,根性状和产量相关性状。在不同的面板内的基因分型测序选定的加入揭示单倍型的变化,在基因组区域内映射的生理,形态和根性状的基因内容。对99份水稻品种进行田间评价,并在5个不同季节、不同生育期、不同干旱胁迫强度下,对水稻植株生理、根系性状和产量相关性状进行了测定。叶绿素稳定性指数、叶片卷曲、开花至50%的天数、叶绿素含量、根体积和根生物量等性状被确定为胁迫下籽粒产量的最佳预测因子。关联作图揭示了加入之间的遗传变异,并揭示了与不同的生理,根和植物生产性状相关的14个基因组靶标。某些材料被发现具有有利的等位基因,以改善性状,株高,根长和小穗育性,有助于在胁迫下的粮食产量。11份种质的基因组特征揭示了第1、4、6和11号染色体上关键基因组靶标内的单倍型变异,可用作联合收割机耐旱和耐旱性状的分子标记。基于公开可得的水稻转录组数据中的组织特异性表达水平,对鉴定的基因组QTL区间内挖掘的基因进行优先排序。鉴定的遗传和基因组资源将使性状与农艺价值相结合,以优化胁迫下的产量,并加速性状渗入到优良品种中。PTB 8的株高、比叶面积、根长和PTB 26的小穗育性、粒重等性状的等位基因可用于水稻育种。在线版本包含补充材料,可通过10.1186/s12870-021-03272-3获得。
Asian cultivars were predominantly represented in global rice panel selected for sequencing and to identify novel alleles for drought tolerance. Diverse genetic resources adapted to Indian subcontinent were not represented much in spite harboring useful alleles that could improve agronomic traits, stress resilience and productivity. These rice accessions are valuable genetic resource in developing rice varieties suited to different rice ecosystem that experiences varying drought stress level, and at different crop stages. A core collection of rice germplasm adapted to Southwestern Indian peninsular genotyped using SSR markers and characterized by contrasting water regimes to associate genomic regions for physiological, root traits and yield related traits. Genotyping-By-Sequencing of selected accessions within the diverse panel revealed haplotype variation in genic content within genomic regions mapped for physiological, morphological and root traits. Diverse rice panel (99 accessions) were evaluated in field and measurements on plant physiological, root traits and yield related traits were made over five different seasons experiencing varying drought stress intensity at different crop stages. Traits like chlorophyll stability index, leaf rolling, days to 50% flowering, chlorophyll content, root volume and root biomass were identified as best predictors of grain yield under stress. Association mapping revealed genetic variation among accessions and revealed 14 genomic targets associated with different physiological, root and plant production traits. Certain accessions were found to have beneficial allele to improve traits, plant height, root length and spikelet fertility, that contribute to the grain yield under stress. Genomic characterization of eleven accessions revealed haplotype variation within key genomic targets on chromosomes 1, 4, 6 and 11 for potential use as molecular markers to combine drought avoidance and tolerance traits. Genes mined within the genomic QTL intervals identified were prioritized based on tissue specific expression level in publicly available rice transcriptome data. The genetic and genomic resources identified will enable combining traits with agronomic value to optimize yield under stress and hasten trait introgression into elite cultivars. Alleles associated with plant height, specific leaf area, root length from PTB8 and spikelet fertility and grain weight from PTB26 can be harnessed in future rice breeding program. The online version contains supplementary material available at 10.1186/s12870-021-03272-3.
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