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利用单核苷酸多态性(SNP)标记探索古老的六倍体小麦物种印度圆粒小麦的遗传多样性和群体结构。

Exploring the genetic diversity and population structure of an ancient hexaploid wheat species Triticum sphaerococcum using SNP markers.

作者信息

Mazumder Amit Kumar, Budhlakoti Neeraj, Kumar Manjeet, Pradhan Anjan Kumar, Kumar Sundeep, Babu Prashanth, Yadav Rajbir, Gaikwad Kiran B

机构信息

Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.

Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.

出版信息

BMC Plant Biol. 2024 Dec 19;24(1):1188. doi: 10.1186/s12870-024-05968-8.

Abstract

BACKGROUND

Understanding genetic diversity and population structure is crucial for strategizing and enhancing breeding efficiency. Wheat, a globally cultivated crop, is a significant source of daily calories for humans. To overcome challenges such as extreme climatic fluctuations, stagnant yields, and diminishing genetic variation, it is essential to develop diverse germplasms with new alleles. Triticum sphaerococcum, an underutilized ancient hexaploid wheat species, shows promise for contributing beneficial alleles. However, the genetic diversity of its germplasms remains unstudied. This is the first report where we have examined the genetic diversity and population structure of 116 T. sphaerococcum accessions using a 35 K SNP Array. The objective of this study is to apply these findings to improve wheat breeding programs.

RESULTS

Analysis of the population's genetic structure identified four potential subpopulations, which was supported by principal coordinate analysis. Allele neutrality tests showed an abundance of intermediate genotypes, suggesting that many beneficial alleles are maintained through balancing selection. Among the three subgenomes, subgenome B exhibited the highest genetic diversity. AMOVA (Analysis of Molecular Variance) revealed significant variation both among (35%) and within (65%) the four subpopulations. The high genetic differentiation between subpopulations was corroborated by a moderate level of haploid migrant numbers (Nm = 1.286), indicating sufficient gene flow. SP4 emerged as the most diverse subpopulation, showing the highest values for allelic pattern indices due to its larger size and higher percentage of polymorphic loci. The D subgenome displayed a faster linkage disequilibrium (LD) decay rate compared to the A and B subgenomes. Haplotype block analysis identified 260 haplotype blocks of varying sizes distributed across the genome.

CONCLUSIONS

This research demonstrates that Indian dwarf wheat accessions, sourced from three distinct gene banks and local collections, possess considerable genetic diversity. These germplasm collections offer valuable opportunities to investigate their unexplored genetic potential. They can be utilized in wheat improvement initiatives to tackle both present and future breeding challenges. Furthermore, these accessions can introduce new alleles to broaden the genetic base of modern wheat varieties, enhancing their overall diversity.

摘要

背景

了解遗传多样性和群体结构对于制定育种策略和提高育种效率至关重要。小麦作为一种全球广泛种植的作物,是人类日常热量的重要来源。为了应对极端气候波动、产量停滞和遗传变异减少等挑战,开发具有新等位基因的多样化种质至关重要。野生二粒小麦是一种未被充分利用的古老六倍体小麦物种,有望贡献有益等位基因。然而,其种质的遗传多样性尚未得到研究。这是我们首次使用35K SNP芯片对116份野生二粒小麦种质的遗传多样性和群体结构进行研究的报告。本研究的目的是将这些发现应用于改进小麦育种计划。

结果

群体遗传结构分析确定了四个潜在亚群,主坐标分析也支持这一结果。等位基因中性检验显示存在大量中间基因型,表明许多有益等位基因通过平衡选择得以维持。在三个亚基因组中,B亚基因组表现出最高的遗传多样性。分子方差分析(AMOVA)显示,四个亚群之间(35%)和亚群内部(65%)均存在显著变异。亚群间较高的遗传分化通过适度的单倍体迁移数(Nm = 1.286)得到证实,表明有足够的基因流动。SP4成为最多样化的亚群,由于其规模较大和多态性位点百分比更高,其等位基因模式指数值最高。与A和B亚基因组相比,D亚基因组的连锁不平衡(LD)衰减速率更快。单倍型块分析确定了260个大小各异的单倍型块,分布在整个基因组中。

结论

本研究表明,来自三个不同基因库和本地收集的印度矮小麦种质具有相当大的遗传多样性。这些种质资源为挖掘其未开发的遗传潜力提供了宝贵机会。它们可用于小麦改良计划,以应对当前和未来的育种挑战。此外,这些种质可以引入新的等位基因,拓宽现代小麦品种的遗传基础,增强其整体多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9cf/11656872/0bedfb42737e/12870_2024_5968_Fig1_HTML.jpg

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