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全基因组关联研究揭示野生大麦 NAM 群体代谢物积累的自然变异与糖代谢有关。

Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism.

机构信息

Institute of Agricultural and Nutritional Sciences, Chair of Plant Breeding, Martin Luther University Halle-Wittenberg, Halle, Germany.

Institute of Pharmacy, Martin Luther University Halle-Wittenberg, Halle, Germany.

出版信息

PLoS One. 2021 Feb 16;16(2):e0246510. doi: 10.1371/journal.pone.0246510. eCollection 2021.

Abstract

Metabolites play a key role in plants as they are routing plant developmental processes and are involved in biotic and abiotic stress responses. Their analysis can offer important information on the underlying processes. Regarding plant breeding, metabolite concentrations can be used as biomarkers instead of or in addition to genetic markers to predict important phenotypic traits (metabolic prediction). In this study, we applied a genome-wide association study (GWAS) in a wild barley nested association mapping (NAM) population to identify metabolic quantitative trait loci (mQTL). A set of approximately 130 metabolites, measured at early and late sampling dates, was analysed. For four metabolites from the early and six metabolites from the late sampling date significant mQTL (grouped as 19 mQTL for the early and 25 mQTL for the late sampling date) were found. Interestingly, all of those metabolites could be classified as sugars. Sugars are known to be involved in signalling, plant growth and plant development. Sugar-related genes, encoding mainly sugar transporters, have been identified as candidate genes for most of the mQTL. Moreover, several of them co-localized with known flowering time genes like Ppd-H1, HvELF3, Vrn-H1, Vrn-H2 and Vrn-H3, hinting on the known role of sugars in flowering. Furthermore, numerous disease resistance-related genes were detected, pointing to the signalling function of sugars in plant resistance. An mQTL on chromosome 1H in the region of 13 Mbp to 20 Mbp stood out, that alone explained up to 65% of the phenotypic variation of a single metabolite. Analysis of family-specific effects within the diverse NAM population showed the available natural genetic variation regarding sugar metabolites due to different wild alleles. The study represents a step towards a better understanding of the genetic components of metabolite accumulation, especially sugars, thereby linking them to biological functions in barley.

摘要

代谢物在植物中起着关键作用,因为它们控制着植物的发育过程,并参与生物和非生物胁迫反应。对它们的分析可以提供关于潜在过程的重要信息。在植物育种方面,代谢物浓度可以用作生物标志物,代替或补充遗传标记,以预测重要的表型特征(代谢预测)。在这项研究中,我们在一个野生大麦嵌套关联作图(NAM)群体中应用全基因组关联研究(GWAS)来鉴定代谢数量性状位点(mQTL)。分析了大约 130 种在早期和晚期采样时测量的代谢物。在早期和晚期采样时,有四个代谢物和六个代谢物发现了显著的 mQTL(早期有 19 个 mQTL,晚期有 25 个 mQTL)。有趣的是,所有这些代谢物都可以归类为糖。众所周知,糖参与信号转导、植物生长和发育。已鉴定出编码主要糖转运蛋白的糖相关基因是大多数 mQTL 的候选基因。此外,其中一些与已知的开花时间基因如 Ppd-H1、HvELF3、Vrn-H1、Vrn-H2 和 Vrn-H3 共定位,暗示了糖在开花中的已知作用。此外,还检测到许多与疾病抗性相关的基因,表明糖在植物抗性中的信号功能。在 1H 染色体上 13 到 20 Mbp 区域的一个 mQTL 尤为突出,它单独解释了单个代谢物的表型变异的 65%。在不同 NAM 群体中分析家族特异性效应表明,由于不同的野生等位基因,存在有关糖代谢物的可利用自然遗传变异。该研究代表了对代谢物积累的遗传成分(特别是糖)的更好理解的一个步骤,从而将它们与大麦中的生物功能联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3619/7886226/f5f7d63b7e2b/pone.0246510.g001.jpg

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