在高铝低磷胁迫下,跨组学层和作物的分子特征翻译有助于确定可靠的小扁豆基因分型分子靶点

IF 3.9 4区 生物学 Q1 GENETICS & HEREDITY
Kadiyala Kavya, Noren Singh Konjengbam, M James, Mayank Rai, Wricha Tyagi, Ajay Kumar Mahato
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引用次数: 0

摘要

铝毒和缺磷是低pH胁迫的共同特征,显著影响作物的产量。印度土壤酸度的增加可能限制了小扁豆(Lens culinaris)的可种植面积,小扁豆是第三大最广泛消费的豆类。培育耐受性需要了解相互依赖的生物反应,但综合耐受性的分子特征仍然难以捉摸。因此,本研究旨在整合多个作物物种的基因组学、转录组学、蛋白质组学和代谢组学中的高铝和低磷胁迫响应关联。重叠的分子特征被精细地映射到23个候选分子,这些候选分子在细胞稳态中起着多种至关重要的调节作用。这些基因中的大多数尚未在土壤耐酸性的背景下得到充分的讨论。因此,开发了多组学指导的调控框架,为耐受性机制提供了新的见解。对29个小扁豆基因型的588个基因进行基因分型,得到7个非同义和3个同义变异,可能与它们对压力的不同反应有关。结果表明,对多组学特异性靶点进行综合基因分型,以确定标记-性状关联研究的潜在候选靶点。总之,数据驱动的多组学变异探索性分析突出了潜在的生物标志物作为遗传改良复杂生物性状的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular signatures that translate across omics layers and crops under high aluminium and low phosphorus stress facilitate the identification of reliable molecular targets for genotyping in lentil

Aluminium toxicity and phosphorus deficiency are co-existing characteristics of low pH stress that significantly affect the grain yield of crops. The increasing acidity of Indian soils potentially limits the cultivable area for lentil (Lens culinaris), the third most widely consumed pulse. Breeding for tolerance requires an understanding of interdependent biological responses, but the molecular characterization of integrated tolerance remains elusive. Therefore, this study aimed to integrate high aluminium and low phosphorus stress responsive associations across the genomics, transcriptomics, proteomics, and metabolomics of multiple crop species. The overlapping molecular signatures were fine mapped to 23 candidates that serve multiple regulatory roles crucial for cellular homeostasis. Most of these genes have not been adequately discussed in the context of soil acidity tolerance. Thus, a multi-omics guided regulatory framework was developed to provide new insights into tolerance mechanisms. In silico genotyping of 29 lentil genotypes across 588 genes related to transomics loci yielded seven nonsynonymous and three synonymous variants likely associated with their differential response to stress. The results suggest comprehensive genotyping of multi-omics specific targets to identify potential candidates for marker-trait association studies. In conclusion, data-driven exploratory analysis of multi-omics variants highlights potential biomarkers as targets for genetically improving complex biological traits.

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来源期刊
CiteScore
3.50
自引率
3.40%
发文量
92
审稿时长
2 months
期刊介绍: Functional & Integrative Genomics is devoted to large-scale studies of genomes and their functions, including systems analyses of biological processes. The journal will provide the research community an integrated platform where researchers can share, review and discuss their findings on important biological questions that will ultimately enable us to answer the fundamental question: How do genomes work?
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