Evidence map›Paper›PMID 39971951›Full record

ArticleNPJ biofilms and microbiomes2025

Bioenergetically constrained dynamical microbial interactions govern the performance and stability of methane-producing bioreactors.

Chao-Jui Chang, Chun-Wei Chang, Hsiao-Pei Lu, Chih-Hao Hsieh, Jer-Horng Wu

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Chao-Jui ChangDepartment of Environmental Engineering, National Cheng Kung University, Tainan, Taiwan.
Chun-Wei ChangInstitute of Fishery Sciences and Department of Life Science, National Taiwan University, Taipei, Taiwan. picachueco@gmail.com.
Hsiao-Pei LuDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan. hplu@gs.ncku.edu.tw.
Chih-Hao HsiehInstitute of Oceanography, National Taiwan University, Taipei, Taiwan. chsieh@ntu.edu.tw.
Jer-Horng WuDepartment of Environmental Engineering, National Cheng Kung University, Tainan, Taiwan. enewujh@mail.ncku.edu.tw.

Funding

National Science and Technology Council 109-2221-E006-093-MY3National Science and Technology Council 110-2923-M002-018-MY3
6 · The paper itself

Abstract

Biogas generation from organic waste by anaerobic bioreactors as renewable energy largely depends on microbial community and species interplays involved. This microbial networking is complex and time-dependent, influencing community succession and reactor performance, but remains unexplored due to the challenges in quantifying dynamics. We employed empirical dynamic modeling to analyze daily networking from a newly established bioreactor converting sucrose to biogas. Over time, microbial interactions within the three trophic (fermentative, syntrophic, and methanogenic) groups varied substantially more than between groups. Notably, versatile syntrophic bacteria like Syntrophorhabdus exhibited stronger interaction strength (0.14 ± 0.22) to hydrogen-dependent methylotrophic Methanomassiliicoccus than strictly syntrophic bacteria associated with butyrate (0.01 ± 0.01 for Syntrophomonas) and propionate (0.00 ± 0.01 for Syntrophobacter). The time-varying interaction networks were closely linked to the system performance dynamics, particularly concerning hydrogen concentrations. As community succession progressed, the stability of interaction network increased through time, accompanied by increased complexity and higher interaction strength. Causal analyses revealed intricate feedback involving catabolic energetics, community structure, and microbial interactions. These feedback mechanisms played a crucial role in regulating anaerobic degradation processes, thereby offering strategies for manipulating microbial interactions to enhance bioreactor stability and efficiency.

Indexed as

BacteriaBioreactorsMethaneMicrobial InteractionsAnaerobiosisBiofuelsFermentationHydrogenSucroseBiofuelsHydrogenMethaneSucrose

Identifiers

PMID39971951
PMCPMC11840090

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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.