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Meta-QTL和单倍型-表型分析揭示了与水稻高温下低垩白度相关的优良单倍型组合。

Meta-QTL and haplo-pheno analysis reveal superior haplotype combinations associated with low grain chalkiness under high temperature in rice.

作者信息

Kumari Anita, Sharma Divya, Sharma Priya, Wang Chaoxin, Verma Vibha, Patil Arun, Imran Md, Singh Madan Pal, Kumar Kuldeep, Paritosh Kumar, Caragea Doina, Kapoor Sanjay, Chandel Girish, Grover Anil, Jagadish S V Krishna, Katiyar-Agarwal Surekha, Agarwal Manu

机构信息

Department of Botany, University of Delhi, Delhi, India.

Department of Computer Science, Kansas State University, Manhattan, KS, United States.

出版信息

Front Plant Sci. 2023 Mar 8;14:1133115. doi: 10.3389/fpls.2023.1133115. eCollection 2023.

Abstract

Chalk, an undesirable grain quality trait in rice, is primarily formed due to high temperatures during the grain-filling process. Owing to the disordered starch granule structure, air spaces and low amylose content, chalky grains are easily breakable during milling thereby lowering head rice recovery and its market price. Availability of multiple QTLs associated with grain chalkiness and associated attributes, provided us an opportunity to perform a meta-analysis and identify candidate genes and their alleles contributing to enhanced grain quality. From the 403 previously reported QTLs, 64 Meta-QTLs encompassing 5262 non-redundant genes were identified. MQTL analysis reduced the genetic and physical intervals and nearly 73% meta-QTLs were narrower than 5cM and 2Mb, revealing the hotspot genomic regions. By investigating expression profiles of 5262 genes in previously published datasets, 49 candidate genes were shortlisted on the basis of their differential regulation in at least two of the datasets. We identified non-synonymous allelic variations and haplotypes in 39 candidate genes across the 3K rice genome panel. Further, we phenotyped a subset panel of 60 rice accessions by exposing them to high temperature stress under natural field conditions over two Rabi cropping seasons. Haplo-pheno analysis uncovered haplotype combinations of two starch synthesis genes, and , significantly contributing towards the formation of grain chalk in rice. We, therefore, report not only markers and pre-breeding material, but also propose superior haplotype combinations which can be introduced using either marker-assisted breeding or CRISPR-Cas based prime editing to generate elite rice varieties with low grain chalkiness and high HRY traits.

摘要

垩白是水稻中不受欢迎的籽粒品质性状,主要是由于灌浆过程中的高温形成的。由于淀粉颗粒结构紊乱、存在气隙和直链淀粉含量低,垩白粒在碾磨过程中容易破碎,从而降低整精米率及其市场价格。与籽粒垩白及相关属性相关的多个QTL的存在,为我们提供了进行荟萃分析并鉴定有助于提高籽粒品质的候选基因及其等位基因的机会。从先前报道的403个QTL中,鉴定出64个包含5262个非冗余基因的Meta-QTL。MQTL分析缩小了遗传和物理区间,近73%的Meta-QTL窄于5cM和2Mb,揭示了热点基因组区域。通过研究先前发表的数据集中5262个基因的表达谱,基于它们在至少两个数据集中的差异调控,筛选出49个候选基因。我们在3K水稻基因组面板中的39个候选基因中鉴定出非同义等位变异和单倍型。此外,我们通过在两个冬季作物种植季节的自然田间条件下对60份水稻种质的一个子集进行高温胁迫处理,对其进行了表型分析。单倍型-表型分析揭示了两个淀粉合成基因的单倍型组合,对水稻籽粒垩白的形成有显著贡献。因此,我们不仅报告了标记和预育种材料,还提出了优良的单倍型组合,可通过标记辅助育种或基于CRISPR-Cas的碱基编辑引入,以培育具有低籽粒垩白度和高整精米率性状的优良水稻品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/10031497/3c9289ed1c1d/fpls-14-1133115-g001.jpg

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