Development and validation of a high-density 'Amahysnp' genotyping array in grain amaranth (Amaranthus hypochondriacus).

IF 4.8 2区 生物学 Q1 PLANT SCIENCES
Rakesh Singh, Ajay Kumar Mahato, S Rajkumar, A Singh, Akshay K Singh, Avantika Maurya, Rajat Gupta, Rakesh Bhardwaj, S K Kaushik, Sandeep Kumar, Veena Gupta, Kuldeep Singh, G P Singh
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引用次数: 0

Abstract

Background: Grain amaranth has recently gained global attention as a promising crop alternative to traditional cereals due to its nutritional value and adaptability to various growing conditions. Although gene banks conserve extensive collections of amaranth germplasm, the genomic and phenotypic characterization of these resources is limited, which hinders their full utilization in breeding programs. A major challenge is the lack of high-throughput genotyping assays essential for comprehensive genomic characterization and trait mapping. High-density SNP arrays have become standard tools for genome-wide analysis across multiple loci, enabling molecular breeding across a range of crop species.

Results: In this study, we developed a 64 K high-throughput SNP genotyping array named "AmahySNP", using Affymetrix® Axiom® technology. The array contains 64,069 high-density SNPs distributed across both genic (55.17%) and non-genic (44.83%) regions of the Amaranthus hypochondriacus genome. The genic region includes 8,879 genes, which consist of 4,830 single-copy genes and 4,049 multi-copy genes distributed across 16 scaffolds. These genes cover various functional regions, including exons (10.5%), introns (40.1%), 5'UTRs (1.6%), and 3'UTRs (2.9%), respectively. The AmahySNP array was effectively utilized for population structure analysis, genetic diversity studies, core development, and genome wide association studies (GWAS) in amaranth germplasm. A representative core set of 112 accessions was identified, which includes two released varieties (Annapurna and Suvarna) and 100 diverse accessions from 12 different regions, representing 12% of the total 917 accessions evaluated. Phylogenetic analysis revealed three major genetic clusters, independent of their geographical origins. GWAS conducted using 22,763 polymorphic SNPs from 540 genotypes identified 13 novel loci associated days to flowering (DTF) trait, seven of which were located within annotated genes.

Conclusions: The AmahySNP 64 K SNP chip a valuable genomic tool for amaranth research and breeding with a strong potential to accelerate its genetic improvement. It enables high-throughput genotyping for a wide range of applications, including GWAS and other genomic studies, and will significantly advance the exploration of natural genetic variations. Ultimately, this resource will empower amaranth breeders to develop improved amaranth cultivars with enhanced crop yield, resilience, and nutritional quality, contributing to global food security and sustainable agriculture.

粒状苋菜(Amaranthus hypochondriacus)高密度“Amahysnp”基因分型阵列的建立与验证
背景:谷物苋菜由于其营养价值和对各种生长条件的适应性,近年来作为一种有前途的传统谷物替代品而受到全球关注。虽然基因库保存了大量的苋菜种质资源,但这些资源的基因组和表型特征是有限的,这阻碍了它们在育种计划中的充分利用。一个主要的挑战是缺乏高通量基因分型分析,这对全面的基因组特征和性状定位至关重要。高密度SNP阵列已经成为跨多位点全基因组分析的标准工具,使分子育种能够跨越一系列作物物种。结果:本研究采用Affymetrix®Axiom®技术,开发了一种64 K高通量SNP基因分型阵列,命名为“AmahySNP”。该阵列包含64,069个高密度snp,分布在苋基因组的基因区(55.17%)和非基因区(44.83%)。基因区包含8879个基因,其中4830个单拷贝基因和4049个多拷贝基因分布在16个支架上。这些基因覆盖了不同的功能区域,包括外显子(10.5%)、内含子(40.1%)、5' utr(1.6%)和3' utr(2.9%)。AmahySNP阵列可有效地用于苋菜种质资源群体结构分析、遗传多样性研究、核心发育和全基因组关联研究(GWAS)。鉴定了112个具有代表性的核心材料,其中包括两个已释放的品种(Annapurna和Suvarna)和来自12个不同地区的100个不同品种,占917个评估材料的12%。系统发育分析显示了三个主要的遗传集群,独立于它们的地理起源。利用来自540个基因型的22,763个多态性snp进行的GWAS鉴定出13个新的与开花日数相关的位点,其中7个位点位于注释基因内。结论:AmahySNP 64k SNP芯片是一种有价值的基因组工具,可用于苋菜研究和育种,具有促进苋菜遗传改良的潜力。它使高通量基因分型广泛应用,包括GWAS和其他基因组研究,并将显著推进自然遗传变异的探索。最终,该资源将使苋菜育种者能够开发出具有更高产量、抗逆性和营养质量的改良苋菜品种,为全球粮食安全和可持续农业做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Plant Biology
BMC Plant Biology 生物-植物科学
CiteScore
8.40
自引率
3.80%
发文量
539
审稿时长
3.8 months
期刊介绍: BMC Plant Biology is an open access, peer-reviewed journal that considers articles on all aspects of plant biology, including molecular, cellular, tissue, organ and whole organism research.
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