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花生产量相关性状的数量性状基因座的全基因组图谱绘制。

Genome-Wide Mapping of Quantitative Trait Loci for Yield-Attributing Traits of Peanut.

机构信息

International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India.

Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut 250004, India.

出版信息

Genes (Basel). 2024 Jan 23;15(2):140. doi: 10.3390/genes15020140.

DOI:10.3390/genes15020140
PMID:38397130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10888419/
Abstract

Peanuts ( L.) are important high-protein and oil-containing legume crops adapted to arid to semi-arid regions. The yield and quality of peanuts are complex quantitative traits that show high environmental influence. In this study, a recombinant inbred line population (RIL) (Valencia-C × JUG-03) was developed and phenotyped for nine traits under two environments. A genetic map was constructed using 1323 SNP markers spanning a map distance of 2003.13 cM. Quantitative trait loci (QTL) analysis using this genetic map and phenotyping data identified seventeen QTLs for nine traits. Intriguingly, a total of four QTLs, two each for 100-seed weight (HSW) and shelling percentage (SP), showed major and consistent effects, explaining 10.98% to 14.65% phenotypic variation. The major QTLs for HSW and SP harbored genes associated with seed and pod development such as the gene, gene, gene, gene, -encoding gene, gene, -encoding gene and superfamily gene. Additionally, the identification of 76 major epistatic QTLs, with PVE ranging from 11.63% to 72.61%, highlighted their significant role in determining the yield- and quality-related traits. The significant G × E interaction revealed the existence of the major role of the environment in determining the phenotype of yield-attributing traits. Notably, the gene in the vicinity of major QTLs for HSW can be further investigated to develop a diagnostic marker for HSW in peanut breeding. This study provides understanding of the genetic factor governing peanut traits and valuable insights for future breeding efforts aimed at improving yield and quality.

摘要

花生(L.)是一种重要的高蛋白含油豆类作物,适应干旱到半干旱地区。花生的产量和品质是复杂的数量性状,表现出高度的环境影响。在这项研究中,我们构建了一个重组自交系群体(RIL)(Valencia-C×JUG-03),并在两个环境下对 9 个性状进行了表型分析。使用 1323 个 SNP 标记构建了一张遗传图谱,覆盖了 2003.13cM 的图谱距离。使用该遗传图谱和表型数据进行的数量性状位点(QTL)分析,鉴定出了 17 个与 9 个性状相关的 QTL。有趣的是,总共鉴定出了 4 个 QTL,其中每个 100 粒重(HSW)和脱壳率(SP)都有两个主效 QTL,解释了 10.98%到 14.65%的表型变异。HSW 和 SP 的主效 QTL 都含有与种子和荚果发育相关的基因,如 基因、 基因、 基因、 基因、-编码基因、 基因、-编码基因和 超家族基因。此外,鉴定出了 76 个主要上位性 QTL,其 PVE 范围为 11.63%至 72.61%,这表明它们在决定产量和品质相关性状方面具有重要作用。显著的 G×E 互作表明环境在决定产量性状表型方面起着主要作用。值得注意的是,HSW 主效 QTL 附近的 基因可以进一步研究,以开发花生 HS W 的诊断标记。本研究为了解控制花生性状的遗传因素提供了依据,并为未来旨在提高产量和品质的育种工作提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/94baeb296cd5/genes-15-00140-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/74c7bb1f651f/genes-15-00140-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/8fdf56fe7237/genes-15-00140-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/bebcc48be66d/genes-15-00140-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/94baeb296cd5/genes-15-00140-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/74c7bb1f651f/genes-15-00140-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/8fdf56fe7237/genes-15-00140-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/bebcc48be66d/genes-15-00140-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253b/10888419/94baeb296cd5/genes-15-00140-g004.jpg

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