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生物信息学方法在木质物种果实成熟过程中 cis-eQTL 信号的发现,以葡萄(Vitis vinifera L.)为例。

Bioinformatic approach for the discovery of cis-eQTL signals during fruit ripening of a woody species as grape (Vitis vinifera L.).

机构信息

Department of Plant Breeding, Centro de Edafología y Biología Aplicada del Segura (CEBAS), CSIC, P.O. Box 164, 30100, Espinardo, Spain.

Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, 06269, USA.

出版信息

Sci Rep. 2022 May 6;12(1):7481. doi: 10.1038/s41598-022-11689-5.

Abstract

Expression quantitative trait loci (eQTLs) are associations between genetic variants, such as Single Nucleotide Polymorphisms (SNPs), and gene expression. eQTLs are an important tool to understand the genetic variance of gene expression of complex phenotypes. eQTLs analyses are common in biomedical models but are scarce in woody crop species such as fruit trees or grapes. In this study, a comprehensive bioinformatic analysis was conducted leveraging with expression data from two different growth stages, around ripening onset, of 10 genotypes of grape (Vitis vinifera L.). A total of 2170 cis-eQTL were identified in 212 gene modulated at ripening onset. The 48% of these DEGs have a known function. Among the annotated protein-coding genes, terpene synthase, auxin-regulatory factors, GRFS, ANK_REP_REGION domain-containing protein, Kinesin motor domain-containing protein and flavonol synthase were noted. This new inventory of cis-eQTLs influencing gene expression during fruit ripening will be an important resource to examine variation for this trait and will help to elucidate the complex genetic architecture underlying this process in grape.

摘要

表达数量性状基因座 (eQTLs) 是遗传变异(如单核苷酸多态性 [SNPs])与基因表达之间的关联。eQTLs 是理解复杂表型基因表达遗传变异的重要工具。eQTLs 分析在生物医学模型中很常见,但在木本作物物种(如果树或葡萄)中却很少见。在这项研究中,利用来自葡萄 (Vitis vinifera L.) 10 个基因型两个不同生长阶段(接近成熟开始时)的表达数据,进行了全面的生物信息学分析。在成熟开始时被调控的 212 个基因中,共鉴定出 2170 个顺式 eQTL。这些差异表达基因中有 48%具有已知功能。在注释的蛋白编码基因中,萜烯合酶、生长素调节因子、GRFS、ANK_REP_REGION 结构域包含蛋白、驱动蛋白结构域包含蛋白和类黄酮合酶受到关注。本研究中鉴定到的影响果实成熟过程中基因表达的顺式 eQTL 将成为研究该性状变异的重要资源,并有助于阐明葡萄中这一过程背后复杂的遗传结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8363/9076688/9ac1985ad1f5/41598_2022_11689_Fig1_HTML.jpg

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