Evidence map›Paper›PMID 38902807›Full record

ArticleBiotechnology for biofuels and bioproducts2024

Multivariate comparison of taxonomic, chemical and operational data from 80 different full-scale anaerobic digester-related systems.

Pascal Otto, Roser Puchol-Royo, Asier Ortega-Legarreta, Kristie Tanner, Jeroen Tideman, Sjoerd-Jan de Vries, Javier Pascual, Manuel Porcar, Adriel Latorre-Pérez, Christian Abendroth

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Article in Biotechnology for biofuels and bioproducts, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Pascal Otto *Institute of Waste Management and Circular Economy, Technische Universität Dresden, Pirna, Germany.
Roser Puchol-Royo *Darwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Asier Ortega-LegarretaDarwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Kristie TannerDarwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Jeroen TidemanBioclear Earth B.V., Groningen, The Netherlands.
Sjoerd-Jan de VriesBioclear Earth B.V., Groningen, The Netherlands.
Javier PascualDarwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Manuel PorcarDarwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Adriel Latorre-PérezDarwin Bioprospecting Excellence, S.L. Parc Cientific Universitat de Valencia, Paterna, Valencia, Spain.
Christian AbendrothChair of Circular Economy, Brandenburgische Technische Universität Cottbus-Senftenberg, Lehrgebäude 4A R2.25, Siemens-Halske-Ring 8, 03046, Cottbus, Germany. christian.abendroth@b-tu.de.

Funding

European Union (H2020) 101000470
6 · The paper itself

Abstract

backgroundThe holistic characterization of different microbiomes in anaerobic digestion (AD) systems can contribute to a better understanding of these systems and provide starting points for bioengineering. The present study investigates the microbiome of 80 European full-scale AD systems. Operational, chemical and taxonomic data were thoroughly collected, analysed and correlated to identify the main drivers of AD processes.

resultsThe present study describes chemical and operational parameters for a broad spectrum of different AD systems. With this data, Spearman correlation and differential abundance analyses were applied to narrow down the role of the individual microorganisms detected. The authors succeeded in further limiting the number of microorganisms in the core microbiome for a broad range of AD systems. Based on 16S rRNA gene amplicon sequencing, MBA03, Proteiniphilum, a member of the family Dethiobacteraceae, the genus Caldicoprobacter and the methanogen Methanosarcina were the most prevalent and abundant organisms identified in all digesters analysed. High ratios for Methanoculleus are often described for agricultural co-digesters. Therefore, it is remarkable that Methanosarcina was surprisingly high in several digesters reaching ratios up to 47.2%. The various statistical analyses revealed that the microorganisms grouped according to different patterns. A purely taxonomic correlation enabled a distinction between an acetoclastic cluster and a hydrogenotrophic one. However, in the multivariate analysis with chemical parameters, the main clusters corresponded to hydrolytic and acidogenic microorganisms, with SAOB bacteria being particularly important in the second group. Including operational parameters resulted in digester-type specific grouping of microbes. Those with separate acidification stood out among the many reactor types due to their unexpected behaviour. Despite maximizing the organic loading rate in the hydrolytic pretreatments, these stages turned into extremely robust methane production units.

conclusionsFrom 80 different AD systems, one of the most holistic data sets is provided. A very distinct formation of microbial clusters was discovered, depending on whether taxonomic, chemical or operational parameters were combined. The microorganisms in the individual clusters were strongly dependent on the respective reference parameters.

Indexed as

16S rRNA sequencingAnaerobic digestionCore microbiomeMicrobiomeMultivariate analysisParameter dependency

Identifiers

PMID38902807
PMCPMC11191226

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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.