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西瓜种子结合氨基酸和总蛋白的全基因组关联研究及群体结构分析

Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon.

作者信息

Joshi Vijay, Nimmakayala Padma, Song Qiushuo, Abburi Venkata, Natarajan Purushothaman, Levi Amnon, Crosby Kevin, Reddy Umesh K

机构信息

Department of Horticultural Sciences, Texas A&M University, Uvalde, Texas, United States.

Texas A&M AgriLife Research and Extension Center, Uvalde, Texas, United States.

出版信息

PeerJ. 2021 Oct 19;9:e12343. doi: 10.7717/peerj.12343. eCollection 2021.

Abstract

BACKGROUND

Watermelon seeds are a powerhouse of value-added traits such as proteins, free amino acids, vitamins, and essential minerals, offering a paleo-friendly dietary option. Despite the availability of substantial genetic variation, there is no sufficient information on the natural variation in seed-bound amino acids or proteins across the watermelon germplasm. This study aimed to analyze the natural variation in watermelon seed amino acids and total protein and explore underpinning genetic loci by genome-wide association study (GWAS).

METHODS

The study evaluated the distribution of seed-bound free amino acids and total protein in 211 watermelon accessions of spp, including 154 of , 54 of (egusi) and three of . We used the GWAS approach to associate seed phenotypes with 11,456 single nucleotide polymorphisms (SNPs) generated by genotyping-by-sequencing (GBS).

RESULTS

Our results demonstrate a significant natural variation in different free amino acids and total protein content across accessions and geographic regions. The accessions with high protein content and proportion of essential amino acids warrant its use for value-added benefits in the food and feed industries biofortification. The GWAS analysis identified 188 SNPs coinciding with 167 candidate genes associated with watermelon seed-bound amino acids and total protein. Clustering of SNPs associated with individual amino acids found by principal component analysis was independent of the speciation or cultivar groups and was not selected during the domestication of sweet watermelon. The identified candidate genes were involved in metabolic pathways associated with amino acid metabolism, such as Argininosuccinate synthase, explaining 7% of the variation in arginine content, which validate their functional relevance and potential for marker-assisted analysis selection. This study provides a platform for exploring potential gene loci involved in seed-bound amino acids metabolism, useful in genetic analysis and development of watermelon varieties with superior seed nutritional values.

摘要

背景

西瓜籽富含蛋白质、游离氨基酸、维生素和必需矿物质等多种具有附加值的特性,是一种适合旧石器时代饮食方式的选择。尽管存在大量的遗传变异,但关于西瓜种质资源中种子结合氨基酸或蛋白质的自然变异信息不足。本研究旨在分析西瓜种子氨基酸和总蛋白的自然变异,并通过全基因组关联研究(GWAS)探索潜在的遗传位点。

方法

本研究评估了211份西瓜种质资源(包括154份普通西瓜、54份油瓜和3份黏籽西瓜)中种子结合游离氨基酸和总蛋白的分布情况。我们采用GWAS方法将种子表型与通过简化基因组测序(GBS)产生的11456个单核苷酸多态性(SNP)进行关联分析。

结果

我们的结果表明,不同种质资源和地理区域的游离氨基酸和总蛋白含量存在显著的自然变异。高蛋白含量和必需氨基酸比例高的种质资源在食品和饲料行业的增值效益(生物强化)方面具有应用价值。GWAS分析确定了188个SNP与167个与西瓜种子结合氨基酸和总蛋白相关的候选基因。通过主成分分析发现,与单个氨基酸相关的SNP聚类独立于物种形成或品种组,并且在甜西瓜驯化过程中未被选择。鉴定出的候选基因参与了与氨基酸代谢相关的代谢途径,如精氨酸琥珀酸合成酶,可解释精氨酸含量变异的7%,这验证了它们的功能相关性以及在标记辅助分析选择中的潜力。本研究为探索参与种子结合氨基酸代谢的潜在基因位点提供了一个平台,有助于西瓜种子营养价值优良品种的遗传分析和培育。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f35/8533027/5a4c8c81ed6b/peerj-09-12343-g001.jpg

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