MESSAI.iO

AI summary

90% confidence

International MES research in biotechnology with focus on biotechnology, iot-smart-systems. Abstract A central challenge in community ecology is predicting the effects of abiotic f...

Generated by MESSAI extraction pipeline · review against source PDF

Extraction

Reported parameters

No values extracted from this paper yet.

No 3D model is mapped to this paper yet. Parameter ranges above still place reported values on the literature distribution.

What they did

System
not_BES

What worked

No outcome metrics extracted yet.

Abstract

Abstract A central challenge in community ecology is predicting the effects of abiotic factors on community assembly. In particular, microbial communities play a central role in the ecosystem, but we do not understand how changing factors like temperature are going to affect community composition or function. One of the challenges is that we do not understand the mechanistic impacts of temperature on different metabolic strategies, nor how this metabolic plasticity could impact microbial interactions. Dissecting the contribution of environmental factors on microbial interactions in natural ecosystems is hindered by our understanding of microbial physiology and our ability to disentangle interactions from sequencing data. Studying the self-assembly of multiple communities in synthetic environments, here we are able to predict changes in microbial community composition based on metabolic responses of each functional group along a temperature gradient. This research highlights the importance of metabolic plasticity and metabolic trade-offs in predicting species interactions and community dynamics across abiotic gradients.

Keywords

Abiotic componentMicrobial population biologyEcologyEcosystemCommunityCommunity structure

Identifiers

DOI
10.1101/2023.07.28.550899
Journal
bioRxiv (Cold Spring Harbor Laboratory)
Year
2023