Decoding the microbiome for sustainable agriculture

IF 4.6 4区 农林科学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Kai Sun, Wei Zhang, Xiaolin Wang, Chuan-Chao Dai
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Abstract

Root-associated microbiota profoundly affect crop health and productivity. Plants can selectively recruit beneficial microbes from the soil and actively balance microbe-triggered plant-growth promotion and stress tolerance enhancement. The cost associated with this is the root-mediated support of a certain number of specific microbes under nutrient limitation. Thus, it is important to consider the dynamic changes in microbial quantity when it comes to nutrient condition-induced root microbiome reassembly. Quantitative microbiome profiling (QMP) has recently emerged as a means to estimate the specific microbial load variation of a root microbiome (instead of the traditional approach quantifying relative microbial abundances) and data from the QMP approach can be more closely correlated with plant development and/or function. However, due to a lack of detailed-QMP data, how soil nutrient conditions affect quantitative changes in microbial assembly of the root-associated microbiome remains poorly understood. A recent study quantified the dynamics of the soybean root microbiome, under unbalanced fertilization, using QMP and provided data on the use of specific synthetic communities (SynComs) for sustaining crop productivity. In this editorial, we explore potential opportunities for utilizing QMP to decode the microbiome for sustainable agriculture.

解码微生物组,促进可持续农业
根系相关微生物群对作物的健康和产量有着深远的影响。植物可以有选择性地从土壤中招募有益微生物,并在微生物触发的植物生长促进和抗逆性增强之间积极取得平衡。与此相关的代价是,在养分限制条件下,根系会支持一定数量的特定微生物。因此,在营养条件诱导根系微生物组重新组合时,必须考虑微生物数量的动态变化。定量微生物组剖析(QMP)是最近出现的一种估算根系微生物组特定微生物负荷变化的方法(而不是量化微生物相对丰度的传统方法),QMP 方法得出的数据可以与植物的生长发育和/或功能更密切地相关联。然而,由于缺乏详细的 QMP 数据,人们对土壤养分条件如何影响根相关微生物群微生物组合的定量变化仍然知之甚少。最近的一项研究利用 QMP 量化了不平衡施肥条件下大豆根系微生物群的动态,并提供了利用特定合成群落(SynComs)维持作物生产力的数据。在这篇社论中,我们将探讨利用 QMP 解码微生物组以实现可持续农业的潜在机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.70
自引率
2.80%
发文量
0
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