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两种一年生黑麦草(Lolium multiflorum L.)基因型的综合组学数据揭示了干旱胁迫下的核心代谢过程。

Integrated omics data of two annual ryegrass (Lolium multiflorum L.) genotypes reveals core metabolic processes under drought stress.

机构信息

Department of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.

Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354, Freising, Germany.

出版信息

BMC Plant Biol. 2018 Jan 30;18(1):26. doi: 10.1186/s12870-018-1239-z.

Abstract

BACKGROUND

Annual ryegrass (Lolium multiflorum L.) is a commercially important, widely distributed forage crop that is used in the production of hay and silage worldwide. Drought has been a severe environmental constraint in its production. Nevertheless, only a handful of studies have examined the impact of short-term drought stress on annual ryegrass. The aim of this study was to explore how stress-induced core metabolic processes enhance drought tolerance, or adaptation to drought, in annual ryegrass.

RESULTS

We profiled the transcriptomes, proteomes, and metabolomes of two annual ryegrass genotypes: the drought-resistant genotype "Abundant 10" and drought-susceptible genotype "Adrenalin 11." We identified differentially expressed metabolites and their corresponding proteins and transcripts that are involved in 23 core metabolic processes, in response to short-term drought stress. Protein-gene-metabolite correlation networks were built to reveal the relationships between the expression of transcripts, proteins, and metabolites in drought-resistant annual ryegrass. Furthermore, integrated metabolic pathways were used to observe changes in enzymes corresponding with levels of amino acids, lipids, carbohydrate conjugates, nucleosides, alkaloids and their derivatives, and pyridines and their derivatives. The resulting omics data underscored the significance of 23 core metabolic processes on the enhancement of drought tolerance or adaptation to drought in annual ryegrass.

CONCLUSIONS

The regulatory networks were inferred using MCoA and correlation analysis to reveal the relationships among the expression of transcripts, proteins, and metabolites that highlight the corresponding elements of these core metabolic pathways. Our results provide valuable insight into the molecular mechanisms of drought resistance, and represent a promising strategy toward the improvement of drought tolerance in annual ryegrass.

摘要

背景

一年生黑麦草(Lolium multiflorum L.)是一种重要的商业性牧草,广泛分布于世界各地,用于干草和青贮饲料的生产。干旱是其生产中的一个严重环境限制因素。然而,只有少数研究探讨了短期干旱胁迫对一年生黑麦草的影响。本研究旨在探索应激诱导的核心代谢过程如何提高一年生黑麦草的耐旱性或适应干旱的能力。

结果

我们对两个一年生黑麦草基因型(耐旱基因型“Abundant 10”和耐旱性弱的基因型“Adrenalin 11”)的转录组、蛋白质组和代谢组进行了分析。我们鉴定了 23 个核心代谢过程中差异表达的代谢物及其相应的蛋白质和转录本,以响应短期干旱胁迫。构建了蛋白质-基因-代谢物相关网络,以揭示耐旱一年生黑麦草中转录本、蛋白质和代谢物表达之间的关系。此外,还整合了代谢途径,观察与氨基酸、脂质、碳水化合物缀合物、核苷、生物碱及其衍生物以及吡啶及其衍生物水平相对应的酶的变化。这些组学数据强调了 23 个核心代谢过程在提高一年生黑麦草耐旱性或适应干旱方面的重要性。

结论

使用 MCoA 和相关分析推断了调控网络,以揭示转录本、蛋白质和代谢物表达之间的关系,突出了这些核心代谢途径的相应元素。我们的研究结果为耐旱性的分子机制提供了有价值的见解,并为提高一年生黑麦草的耐旱性提供了一种有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74aa/5789592/d0b561bbdddd/12870_2018_1239_Fig1_HTML.jpg

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