Microbial Evolution Drives Adaptation of Substrate Degradation on Decadal to Centennial Time Scales Relevant to Global Change

IF 7.6 1区 环境科学与生态学 Q1 ECOLOGY
Ecology Letters Pub Date : 2024-10-16 DOI:10.1111/ele.14530
Elsa Abs, David Coulette, Philippe Ciais, Steven D. Allison
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引用次数: 0

Abstract

Understanding microbial adaptation is crucial for predicting how soil carbon dynamics and global biogeochemical cycles will respond to climate change. This study employs the DEMENT model of microbial decomposition, along with empirical mutation and dispersal rates, to explore the roles of mutation and dispersal in the adaptation of soil microbial populations to shifts in litter chemistry, changes that are anticipated with climate-driven vegetation dynamics. Following a change in litter chemistry, mutation generally allows for a higher rate of litter decomposition than dispersal, especially when dispersal predominantly introduces genotypes already present in the population. These findings challenge the common idea that mutation rates are too low to affect ecosystem processes on ecological timescales. These results demonstrate that evolutionary processes, such as mutation, can help maintain ecosystem functioning as the climate changes.

Abstract Image

Abstract Image

在与全球变化相关的十年至百年时间尺度上,微生物进化推动底物降解的适应性变化
了解微生物的适应性对于预测土壤碳动态和全球生物地球化学循环如何应对气候变化至关重要。本研究利用微生物分解的 DEMENT 模型以及经验突变率和扩散率,探讨了突变和扩散在土壤微生物种群适应废弃物化学变化过程中的作用。在废弃物化学性质发生变化后,变异通常比散播能使废弃物分解率更高,尤其是当散播主要引入种群中已有的基因型时。这些发现对突变率太低而无法在生态时间尺度上影响生态系统过程的普遍观点提出了质疑。这些结果表明,突变等进化过程有助于在气候变化时维持生态系统的功能。
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
Ecology Letters
Ecology Letters 环境科学-生态学
CiteScore
17.60
自引率
3.40%
发文量
201
审稿时长
1.8 months
期刊介绍: Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.
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