利用植物代谢组和微生物组促进可持续粮食生产的新趋势

Fadime Karabulut
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引用次数: 7

摘要

在快速增长的全球人口(预计未来将超过9万亿)中,粮食生产是确保高效植物产量和成就的必要条件。在这方面,利用各种“组学”利用植物核心微生物组的进展将为实现可持续目标取得丰硕成果。众所周知,代谢组学是一种强大的方法,对于在植物基因组完全测序之前评估植物物种的特性非常有用。代谢组学和其他技术帮助我们解开农业产出的主要挑战,如调节土壤微生物群落的健康。植物与微生物的相互作用是这个星球不可分割的一部分。本文将对植物与微生物之间的相互作用进行全面的阐述,以开发不同的宏基因组学、元转录组学和代谢组学方法来提高一般的可培养性能。此外,该研究将重点关注植物早期生产中微生物组的开发,并建立核心微生物组设计的信息学管道,以优化植物与本地微生物的相互作用。本研究还将集中在群体感应活性、植物激素、细菌素等信号分子等相互作用方面。还将建立生物信息学基因组挖掘生物合成基因簇,从而鉴定新的生物活性化合物和新的代谢组学进展。将建立一个全面的模型,以评估利用微生物组和代谢组分析来确保粮食生产的可持续未来的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging trends for Harnessing plant metabolome and microbiome for sustainable food Production
Food production is obligatory to ensure efficient plant yield and accomplishments in a fast-growing global population predicted to exceed 9 trillion people in the future. In this regard, advancement in harnessing plant core microbiome using various 'omics' will be fruitful towards sustainable goals. Metabolomics, as we know, is a robust method and is very useful for evaluating the property of plant species before their genomes are completely sequenced. Metabolomics and other technologies facilitate us to unravel main agricultural output challenges such as regulating the health of soil microbial communities. Plantmicrobe interactions are an integral aspect of this planet. This review will develop a complete and elaborated panoramic view for bare acquaintances of interaction between plants and microbes required for developing different approaches in metagenomics, meta-transcriptomics, and metabolomics to increase general cultivable performance. In addition, the study will focus on microbiome development in earlier plant production and establish informatics pipelines for core microbiome design to optimize plant and indigenous microorganism interactions. This study will also concentrate on inter / intra interactions, such as quorum sensing activity, signal molecules like phytohormones, bacteriocins, etc. The bio-informatics genome mining for biosynthesis gene clusters leading to the identification of novel bioactive compounds and new metabolomics advances will also be established. A comprehensive model will be framed to assess the advancements in exploiting the microbiome and metabolome analysis to secure food production for a sustainable future.
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