Temperature-driven metabolic adaptation in thermophilic microbial communities of Western Sichuan hot springs

Understanding microbial adaptation to extreme environments remains a key challenge in microbial ecology. Geothermal hot springs, characterized by temperature gradients and varying geochemical conditions, represent valuable natural laboratories for studying microbial diversity, adaptive strategies, and evolutionary mechanisms. However, despite many studies of hot spring communities, how temperature gradients shape key microbial adaptation strategies remains insufficiently understood, limiting our ability to explain survival and function in extreme environments. Our study investigated microbial community composition and functional profiles across a natural thermal gradient (50–93 °C) in six hot springs on the Western Sichuan Plateau using optimized contig- and MAG-based metagenomic strategies. Enhanced annotation approaches significantly improved taxonomic resolution in these extreme environments. Metagenomic analyses revealed distinct shifts in microbial communities along the thermal gradient: moderate-temperature springs (50–70 °C) were dominated by Pseudomonadota and Bacteroidota, exhibiting heterotrophic flexibility and utilizing the Calvin–Benson–Bassham cycle and diverse nitrogen reduction pathways; high-temperature springs (70–90 °C) were enriched in Chloroflexota, which primarily employed the Wood–Ljungdahl pathway coupled with enhanced sulfur metabolism; and extreme-temperature springs (≥ 90 °C) were characterized by Aquificota and Thermoproteota, relying on specialized autotrophic pathways (rTCA, DH/HH cycles), streamlined nitrogen assimilation, and sulfur oxidation pathways. These thermophilic lineages showed genome streamlining, reduced regulatory complexity, and specialized metabolic strategies, reflecting narrower ecological niches and deeper phylogenetic branches. This metagenomic investigation across a temperature gradient in western Sichuan hot springs highlights temperature as an essential driver of microbial community structure, genome evolution, and adaptive specialization. Thermophilic lineages in extreme-temperature environments exhibited streamlined genomes, specialized metabolic functions, and narrower ecological niches, consistent with adaptation to persistent thermal stress. The findings enhance understanding of microbial evolutionary strategies and underscore the ecological significance of temperature-driven adaptation in extreme environments. Temperature-driven microbial community structure shifts across thermal gradients. Thermophiles in hotter springs show deeper phylogeny and narrower niche breadth. Carbon fixation transition from rTCA, DH, HH to 3H, CBB along thermal gradients. Genome Streamlining and GC/amino acid shifts enhance thermal structural stability. Composite mapping strategy improves metagenome annotation in extreme environments.

Authors

Institutions

Publication Details

Journal
BMC Microbiology
Published
2026-03-31
DOI
https://doi.org/10.1186/s12866-026-04921-z
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temperature-driven metabolic adaptation in thermophilic microbial communities of Western Sichuan hot springs

Jianing Geng, Shunchao Guo, Xiuzhen CHEN, Songnian Hu et al.
BMC Microbiology
Microbial Community Ecology and Physiology
article

Temperature-driven metabolic adaptation in thermophilic microbial communities of Western Sichuan hot springs

Jianing Geng, Shunchao Guo, Xiuzhen CHEN, Songnian Hu, Zhiyang Dong
article en

Abstract

Understanding microbial adaptation to extreme environments remains a key challenge in microbial ecology. Geothermal hot springs, characterized by temperature gradients and varying geochemical conditions, represent valuable natural laboratories for studying microbial diversity, adaptive strategies, and evolutionary mechanisms. However, despite many studies of hot spring communities, how temperature gradients shape key microbial adaptation strategies remains insufficiently understood, limiting our ability to explain survival and function in extreme environments. Our study investigated microbial community composition and functional profiles across a natural thermal gradient (50–93 °C) in six hot springs on the Western Sichuan Plateau using optimized contig- and MAG-based metagenomic strategies. Enhanced annotation approaches significantly improved taxonomic resolution in these extreme environments. Metagenomic analyses revealed distinct shifts in microbial communities along the thermal gradient: moderate-temperature springs (50–70 °C) were dominated by Pseudomonadota and Bacteroidota, exhibiting heterotrophic flexibility and utilizing the Calvin–Benson–Bassham cycle and diverse nitrogen reduction pathways; high-temperature springs (70–90 °C) were enriched in Chloroflexota, which primarily employed the Wood–Ljungdahl pathway coupled with enhanced sulfur metabolism; and extreme-temperature springs (≥ 90 °C) were characterized by Aquificota and Thermoproteota, relying on specialized autotrophic pathways (rTCA, DH/HH cycles), streamlined nitrogen assimilation, and sulfur oxidation pathways. These thermophilic lineages showed genome streamlining, reduced regulatory complexity, and specialized metabolic strategies, reflecting narrower ecological niches and deeper phylogenetic branches. This metagenomic investigation across a temperature gradient in western Sichuan hot springs highlights temperature as an essential driver of microbial community structure, genome evolution, and adaptive specialization. Thermophilic lineages in extreme-temperature environments exhibited streamlined genomes, specialized metabolic functions, and narrower ecological niches, consistent with adaptation to persistent thermal stress. The findings enhance understanding of microbial evolutionary strategies and underscore the ecological significance of temperature-driven adaptation in extreme environments. Temperature-driven microbial community structure shifts across thermal gradients. Thermophiles in hotter springs show deeper phylogeny and narrower niche breadth. Carbon fixation transition from rTCA, DH, HH to 3H, CBB along thermal gradients. Genome Streamlining and GC/amino acid shifts enhance thermal structural stability. Composite mapping strategy improves metagenome annotation in extreme environments.

BMC MicrobiologyVol. 26(1)
Shenzhen Institute of Information Technology (CN), Chinese Academy of Sciences (CN), State Key Laboratory of Plant Genomics (CN), Microbiology Institute of Shaanxi (CN), Institute of Microbiology (CN), Institute of Mechanics (CN), University of Chinese Academy of Sciences (CN)
Life in Land
Openalex Percentile: Top 36%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.