Rising temperatures reshape microbial carbon cycling during animal carcass decomposition in water
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Rising temperatures reshape microbial carbon cycling during animal carcass decomposition in water

09/01/2026 TranSpread

Using metagenomic sequencing across a realistic temperature gradient, researchers show that carcass decay triggers a surge in carbon-degradation genes, while warming selectively favors pathways that rapidly consume easily degradable carbon.

Animal death and decomposition are natural but powerful drivers of nutrient release. Each year, large quantities of animal carcasses enter terrestrial and aquatic ecosystems, releasing carbon-rich fluids that alter water chemistry and microbial activity. Aquatic systems are especially important, accounting for more than half of global primary production and playing a central role in carbon fixation and degradation. Microorganisms regulate these processes through specialized “carbon cycling genes.” While temperature is known to influence microbial metabolism, its combined effects with sudden carbon pulses—such as those from carcass decomposition—have remained poorly understood, particularly at the level of functional genes.

A study (DOI:10.48130/biocontam-0025-0012) published in Biocontaminant on 05 December 2025 by Huan Li’s team, Lanzhou University, highlights how climate warming and sudden carbon inputs can interact to redirect microbial carbon cycling, with implications for greenhouse gas emissions and aquatic ecosystem health.

Using a controlled carcass–water microcosm experiment across five temperature gradients (23–35 °C), this study employed metagenomic sequencing to comprehensively characterize microbial communities and functional genes involved in aquatic carbon cycling, while integrating multivariate statistics, network analysis, and pathway reconstruction to identify key drivers and mechanisms. The analysis showed that microorganisms carrying carbon-cycling genes spanned bacteria, eukaryotes, viruses, and archaea, but bacteria overwhelmingly dominated the system (mean 99.81%), with Proteobacteria, Actinobacteria, and Bacteroidetes as the most abundant groups. Temperature and carcass decomposition jointly reshaped microbial community structure, enriching Acidobacteria, Actinobacteria, Chloroflexi, Spirochaetes, and Firmicutes under warming alone, while favoring Verrucomicrobia, Proteobacteria, and genera such as Novosphingobium, Acidovorax, and Nocardioides during carcass decay. Functionally, carcass treatments produced a unimodal alpha-diversity pattern of carbon-cycling KEGG orthologs (KOs), peaking near 30 °C, and significantly altered beta diversity, with enrichment of carbon-degradation pathways including reductive TCA-related routes, gluconeogenesis, and the ethylmalonyl pathway. Carbohydrate-active enzyme (CAZy) profiles were dominated by glycosyltransferases, with key genes (e.g., GT2, GT4, CBM50, GH23, GT51) and hundreds of differential CAZy genes enriched in carcass conditions. Rising temperature strongly reduced carbon-cycling gene diversity in uncontaminated water, whereas this effect was buffered in carcass-contaminated systems by high nutrient availability. Approximately half of all carbon-cycling genes and over one-third of CAZy genes were temperature-sensitive, but substrate specificity diverged: warming promoted degradation of complex carbohydrates in controls, while only simple carbohydrate ester degradation increased with temperature during carcass decay, indicating preferential use of readily available carbon. Total carbon increased by nearly 87% following carcass decomposition and emerged as a key driver linking physicochemical conditions to functional gene structure. Network and pathway analyses further revealed a carcass-driven shift toward carbon degradation and fermentation, characterized by enhanced acetate and ethanol production and suppressed methane oxidation and parts of carbon fixation, demonstrating that carbon degradation, rather than fixation, dominates aquatic carbon cycling during carcass decomposition under warming conditions.

These findings have important implications for predicting carbon fluxes under climate change. As temperatures rise, aquatic environments experiencing sudden carbon inputs—such as mass fish deaths, livestock carcass disposal, or wildlife mortality events—may shift toward faster carbon turnover and increased release of carbon dioxide or other greenhouse gases. Understanding which microbial genes respond to warming helps refine models of carbon cycling and informs ecosystem management, particularly for freshwater bodies vulnerable to eutrophication and pollution.

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References

DOI

10.48130/biocontam-0025-0012

Original Source URL

https://doi.org/10.48130/biocontam-0025-0012

Funding information

This work was supported by the National Natural Science Foundation of China (32471575), Gansu Province Science and Technology Plan for Youth Science Fund (24JRRA458), and the Natural Science Foundation of Henan Province (222300420036).

About Biocontaminant

Biocontaminant is a multidisciplinary platform dedicated to advancing fundamental and applied research on biological contaminants across diverse environments and systems. The journal serves as an innovative, efficient, and professional forum for global researchers to disseminate findings in this rapidly evolving field.

Title of original paper: Animal corpse decomposition under elevating temperature: a metabolic bridge from labile to recalcitrant carbon pools
Authors: Xiaochen Wang1,#, Jie Bi1,#, Qiaoling Yu2, Xiao Zhang3, Yu Shi4, Petr Heděnec5, Tengfei Ma2 & Huan Li1,2
Journal: Biocontaminant
Original Source URL: https://doi.org/10.48130/biocontam-0025-0012
DOI: 10.48130/biocontam-0025-0012
Latest article publication date: 05 December 2025
Subject of research: Not applicable
COI statement: The authors declare that they have no competing interests.
Fichiers joints
  • Figure 1 Carbon cycling bacterial community composition at the (a) phylum, and (b) genus level in the control and experimental groups. Only dominant genera with the top 10 highest mean relative abundance are shown. (c) The result of linear fitting showed the relationship between alpha diversity of CAZy genes and temperature. The results of linear fitting and p value are listed on the figures, and p < 0.05 indicates significant difference. (d) A line chart revealed the change trend of alpha diversity of carbon cycling KO genes. Abbreviations: E, experimental groups; T, control groups.
09/01/2026 TranSpread
Regions: North America, United States
Keywords: Applied science, Engineering

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