Evidence map›Paper›PMID 35918706›Full record

ArticleMicrobiome2022

Integrating metagenomic binning with flux balance analysis to unravel syntrophies in anaerobic CO

Nicola De Bernardini, Arianna Basile, Guido Zampieri, Adam Kovalovszki, Beatrix De Diego Diaz, Elisabetta Offer, Nantharat Wongfaed, Irini Angelidaki, Panagiotis G Kougias, Stefano Campanaro and 1 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Review
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  13. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
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  16. 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

11 authors.

Nicola De BernardiniDepartment of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.
Arianna BasileDepartment of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.
Guido ZampieriDepartment of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.
Adam KovalovszkiDepartment of Environmental Engineering, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
Beatrix De Diego DiazDepartment of Chemistry, University of Navarra, Pamplona, Spain.
Elisabetta OfferDepartment of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.
Nantharat WongfaedDepartment of Biotechnology, Faculty of Technology, Khon Kaen University, Khon Kaen, 40002, Thailand.
Irini AngelidakiDepartment of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs, DK-2800, Lyngby, Denmark.
Panagiotis G KougiasHellenic Agricultural Organization DEMETER, Soil and Water Resources Institute, Thermi, Thessaloniki, Greece. p.kougias@swri.gr.
Stefano Campanaro *Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy. stefano.campanaro@unipd.it.
Laura Treu *Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbon fixation through biological methanation has emerged as a promising technology to produce renewable energy in the context of the circular economy. The anaerobic digestion microbiome is the fundamental biological system operating biogas upgrading and is paramount in power-to-gas conversion. Carbon dioxide (CO

resultsThe combined microbiome was composed of 59 species, with five being dominant (> 70% of total abundance); the metagenome-assembled genomes representing these species were refined to reach a high level of completeness. Genome-guided metabolic analysis appointed Firmicutes sp. GSMM966 as the main responsible for biofilm formation. Additionally, species interactions were investigated considering their co-occurrence in 134 samples, and in terms of metabolic exchanges through flux balance simulation in a simplified medium. Some of the most abundant species (e.g., Limnochordia sp. GSMM975) were widespread (~ 67% of tested experiments), while others (e.g., Methanothermobacter wolfeii GSMM957) had a scattered distribution. Genome-scale metabolic models of the microbial community were built with boundary conditions taken from the biochemical data and showed the presence of a flexible interaction network mainly based on hydrogen and carbon dioxide uptake and formate exchange.

conclusionsOur work investigated the interplay between five dominant species within the biofilm and showed their importance in a large spectrum of anaerobic biogas reactor samples. Flux balance analysis provided a deeper insight into the potential syntrophic interaction between species, especially Limnochordia sp. GSMM975 and Methanothermobacter wolfeii GSMM957. Finally, it suggested species interactions to be based on formate and amino acids exchanges. Video Abstract.

Indexed as

BiofuelsMetagenomeAnaerobiosisBacillotaBioreactorsCarbon DioxideFormatesMethaneMethanobacteriaceaeBiofuelsCarbon DioxideFormatesMethaneAnaerobic CO2 methanationBiogas upgradingFlux balanceMetabolic modellingMetagenomics

Identifiers

PMID35918706
PMCPMC9347119

What OpenQuestion holds

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Registered trials

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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.