Evidence map›Paper›PMID 41717792›Full record

ArticleThe ISME journal2026

Microbial synthesis structures organic compound composition in anaerobic digestion.

Xingsheng Yang, Bo Zhao, Kai Feng, Jie Wang, Mingqian Liu, Xi Peng, Qing He, Yanjuan Lu, Hassan Waseem, Shang Wang and 3 more

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xingsheng YangState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0009-0006-3383-3473
Bo ZhaoState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Kai FengState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Jie WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100053, China.
Mingqian LiuState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Xi PengState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Qing HeState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Yanjuan LuFairyland Environmental Technology Co., Ltd, Beijing 100085, China.
Hassan WaseemDepartment of Civil and Environmental Engineering, Carleton University, 1125 Colonel By Dr, Ottawa, ON K1S 5B6, Canada.
Shang WangState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0002-9284-6390
Mari-Karoliina H WinklerDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98105, United States.
Joana Falcão SallesFaculty of Science and Engineering, University of Groningen, Groningen, 9747AG, The Netherlands.
Ye DengState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0002-7584-0632

Funding

Deep Earth Probe and Mineral Resources Exploration - National Science and Technology Major Project 2024ZD1000601National Key Research and Development Program of China 2019YFC1905001
6 · The paper itself

Abstract

Anaerobic digestion (AD) is a cornerstone technology for sustainable waste treatment and renewable energy recovery, yet its complex microbe-metabolite interactions remain poorly understood. Here, we combined high-resolution molecular profiling and microbial community sequencing in a three-month study across seven full-scale digesters to resolve dissolved organic matter (DOM) and microbiome dynamics. A total of 28 925 DOM molecules, including a conserved core of 1154 metabolites, were identified. By disentangling metabolic pathways, we observed complex transformation patterns that extend beyond simple substrate breakdown. Molecules within a mass window (183.57-390.81 m/z) exhibited high persistence, strong microbial associations, and distinct transformation trajectories. Within this mass window, microbial community composition and feedstock input, together explained ~30.1%-43.4% of the observed spatiotemporal variation. In each digester, 1260-2108 molecules were closely associated with microbial metabolism, forming 7.77-24.52 microbe-metabolite associations on average. The accumulation and turnover of these microbial metabolites were strongly linked to methane production and system performance, highlighting microbial processing of DOM as a significant factor shaping microbe-metabolite interactions. This perspective emphasizes the importance of microbe-metabolite interplay in AD, providing a conceptual framework for predictive monitoring and optimization of engineered biotechnologies.

Indexed as

BacteriaDissolved Organic MatterMicrobiotaOrganic ChemicalsAnaerobiosisBioreactorsMetabolic Networks and PathwaysMethaneDissolved Organic MatterMethaneOrganic Chemicalsanaerobic digestiondissolved organic matterFT-ICR mass spectrometrymicrobial metabolismmolecular biosynthesis

Identifiers

PMID41717792
PMCPMC12978654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.