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预测气候变化对全球冰川补给河流微生物群落的影响。

Predicting climate-change impacts on the global glacier-fed stream microbiome.

作者信息

Bourquin Massimo, Peter Hannes, Michoud Grégoire, Busi Susheel Bhanu, Kohler Tyler J, Robison Andrew L, Styllas Mike, Ezzat Leïla, Geers Aileen U, Huss Matthias, Fodelianakis Stilianos, Battin Tom J

机构信息

River Ecosystems Laboratory, Alpine and Polar Environmental Research Center, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

UK Centre for Ecology and Hydrology, Wallingford, United Kingdom.

出版信息

Nat Commun. 2025 Feb 1;16(1):1264. doi: 10.1038/s41467-025-56426-4.

Abstract

The shrinkage of glaciers and the vanishing of glacier-fed streams (GFSs) are emblematic of climate change. However, forecasts of how GFS microbiome structure and function will change under projected climate change scenarios are lacking. Combining 2,333 prokaryotic metagenome-assembled genomes with climatic, glaciological, and environmental data collected by the Vanishing Glaciers project from 164 GFSs draining Earth's major mountain ranges, we here predict the future of the GFS microbiome until the end of the century under various climate change scenarios. Our model framework is rooted in a space-for-time substitution design and leverages statistical learning approaches. We predict that declining environmental selection promotes primary production in GFSs, stimulating both bacterial biomass and biodiversity. Concomitantly, predictions suggest that the phylogenetic structure of the GFS microbiome will change and entire bacterial clades are at risk. Furthermore, genomic projections reveal that microbiome functions will shift, with intensified solar energy acquisition pathways, heterotrophy and algal-bacterial interactions. Altogether, we project a 'greener' future of the world's GFSs accompanied by a loss of clades that have adapted to environmental harshness, with consequences for ecosystem functioning.

摘要

冰川的萎缩和冰川补给溪流(GFSs)的消失是气候变化的象征。然而,目前缺乏关于在预计的气候变化情景下GFS微生物群落结构和功能将如何变化的预测。我们将2333个原核生物宏基因组组装基因组与“消失的冰川”项目从地球上主要山脉的164条GFSs收集的气候、冰川学和环境数据相结合,在此预测了在各种气候变化情景下直到本世纪末GFS微生物群落的未来。我们的模型框架基于时空替代设计,并利用统计学习方法。我们预测,环境选择的下降将促进GFSs中的初级生产,刺激细菌生物量和生物多样性。与此同时,预测表明GFS微生物群落的系统发育结构将发生变化,整个细菌类群面临风险。此外,基因组预测显示微生物群落功能将发生转变,太阳能获取途径、异养作用和藻菌相互作用将增强。总体而言,我们预测世界GFSs将迎来一个“更绿色”的未来,同时那些适应了环境恶劣条件的类群将消失,这将对生态系统功能产生影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a0a/11787367/9099d93058e9/41467_2025_56426_Fig1_HTML.jpg

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