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对黍属(Panicum miliaceum L.)农艺和谷物营养性状进行全基因组群体结构评估和关联作图。

Genome-wide assessment of population structure and association mapping for agronomic and grain nutritional traits in proso millet (Panicum miliaceum L.).

机构信息

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

University of Georgia, Athens, GA, 30605, USA.

出版信息

Sci Rep. 2024 Sep 19;14(1):21920. doi: 10.1038/s41598-024-72319-w.

Abstract

Proso millet is an important but under-researched and underutilized crop with the potential to become a future smart crop because of its climate-resilient features and high nutrient content. Assessing diversity and marker-trait associations are essential to support the genomics-assisted improvement of proso millet. This study aimed to assess the population structure and diversity of a proso millet diversity panel and identify marker-trait associations for agronomic and grain nutrient traits. In this study, genome-wide single nucleotide polymorphisms (SNPs) were identified by mapping raw genotyping-by-sequencing (GBS) data onto the proso millet genome, resulting in 5621 quality-filtered SNPs in 160 diverse accessions. The modified Roger's Distance assessment indicated an average distance of 0.268 among accessions, with the race miliaceum exhibiting the highest diversity and ovatum the lowest. Proso millet germplasm diversity was structured according to geographic centers of origin and domestication. Genome-wide association mapping identified 40 marker-trait associations (MTAs), including 34 MTAs for agronomic traits and 6 for grain nutrients; 20 of these MTAs were located within genes. Favourable alleles and phenotypic values were estimated for all MTAs. This study provides valuable insights into the population structure and diversity of proso millet, identified marker-trait associations, and reported favourable alleles and their phenotypic values for supporting genomics-assisted improvement efforts in proso millet.

摘要

黍稷是一种重要但研究和利用不足的作物,具有成为未来智能作物的潜力,因为它具有气候适应能力强和营养丰富的特点。评估多样性和标记-性状关联对于支持黍稷的基因组辅助改良至关重要。本研究旨在评估黍稷多样性面板的群体结构和多样性,并确定农艺和谷物营养性状的标记-性状关联。在这项研究中,通过将原始基因型测序(GBS)数据映射到黍稷基因组上,鉴定出了全基因组单核苷酸多态性(SNP),在 160 个不同的品种中鉴定出了 5621 个经过质量过滤的 SNP。改良的 Roger 距离评估表明,品种之间的平均距离为 0.268,其中 race miliaceum 表现出最高的多样性,ovatum 表现出最低的多样性。黍稷种质资源多样性根据起源和驯化的地理中心进行结构划分。全基因组关联图谱分析鉴定出 40 个标记-性状关联(MTA),包括 34 个农艺性状的 MTA 和 6 个谷物营养性状的 MTA;其中 20 个 MTA 位于基因内。所有 MTA 的有利等位基因和表型值都被估计出来。本研究提供了对黍稷群体结构和多样性的深入了解,确定了标记-性状关联,并报告了有利等位基因及其表型值,以支持黍稷的基因组辅助改良工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b14/11413307/a8a1fe39ec68/41598_2024_72319_Fig2_HTML.jpg

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