Editorial: Synthetic microbial communities: Sandbox and blueprint for soil health enhancement

TY - JOUR

T1 - Editorial: Synthetic microbial communities

T2 - Sandbox and blueprint for soil health enhancement

AU - Li, Mei

AU - Hu, Jie

AU - Wei, Zhong

AU - Jousset, Alexandre

AU - Pommier, Thomas

AU - Yu, Xiangyang

AU - Xu, Yangchun

AU - Shen, Qirong

N1 - Data archiving: no data, editorial

PY - 2024/2

Y1 - 2024/2

N2 - In nature, diverse microorganisms do not act as individuals but rather interact and communicate with one another in a dynamically changing microbial community, they are essential for maintaining the Earth's biosphere and for the survival of plants and animals as they contribute to nearly all biogeochemical cycles on earth. However, studying microbial populations directly in their natural environment poses significant challenges due to their vast population size and complex interaction network. This difficulty hampers our ability to predict the behavior of microbial communities in nature, thereby limiting our understanding of the functionality of microorganisms in the natural environmental systems and developing and utilizing microbial resources. Further, the inherent complexity of the natural microbiota makes it immensely challenging to establish causality and, subsequently, dissect mechanisms. One emerging strategy to tackle the aforementioned challenge is to use simplified, synthetic microbial communities (SynComs).

AB - In nature, diverse microorganisms do not act as individuals but rather interact and communicate with one another in a dynamically changing microbial community, they are essential for maintaining the Earth's biosphere and for the survival of plants and animals as they contribute to nearly all biogeochemical cycles on earth. However, studying microbial populations directly in their natural environment poses significant challenges due to their vast population size and complex interaction network. This difficulty hampers our ability to predict the behavior of microbial communities in nature, thereby limiting our understanding of the functionality of microorganisms in the natural environmental systems and developing and utilizing microbial resources. Further, the inherent complexity of the natural microbiota makes it immensely challenging to establish causality and, subsequently, dissect mechanisms. One emerging strategy to tackle the aforementioned challenge is to use simplified, synthetic microbial communities (SynComs).

U2 - 10.1002/imt2.172

DO - 10.1002/imt2.172

M3 - Article

AN - SCOPUS:85184880771

SN - 2770-5986

VL - 3

JO - iMeta

JF - iMeta

IS - 1

M1 - e172

ER -