ArticleACS omega2025
Navigating the Complex Terrain of Methane Synthesis: Multienzyme Control Points and Data-Driven Strategies.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anaerobic digestion is a crucial process in wastewater treatment, renowned for its sustainable biogas production capabilities and the simultaneous reduction of environmental pollution. However, dysregulation of vital biological processes and pathways can lead to reduced efficiency and suboptimal biogas output, which can be seen through low counts per million of sequences related to three critical control points for methane synthesis. Namely, tetrahydromethanopterin S-methyltransferase (MTR), methyl-coenzyme reductase M (MCR), and CoB/CoM heterodisulfide oxidoreductase (HDR) are the last reactions that must occur. This study leveraged sequencing data from NCBI's Sequence Read Archive (SRA) database whose sample origins were of two model full-scale biodigesters. By assembling a genome BBBAS3_2 (86.4% complete), this study was able to align, assemble, and follow expression patterns related to KEGG pathways and sample conditions. This study detected and estimated expression patterns of conserved (in methanogenic archae) alleles for electron cycling by the heterodisulfide reductase complex, methylation and demethylation by methyltransferases, and oxidation of active coenzymes A and B by methyl-coenzyme reductase to surveil counts of sequences at critical control points. Utilizing a streamlined cloud bioinformatics approach with Omicsbox and Kbase, this study bridges the division between data-intensive sequencing and innovative solutions for methane optimization.
Identifiers
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Registered trials
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.