Uncovering diversity and abundance patterns of CO2-fixing microorganisms in peatlands

Microorganisms play a crucial role in the carbon (C) dynamics of peatlands - a major terrestrial C reservoir. Because of their role in C emissions, heterotrophic microorganisms have attracted much attention over the past decades. CO<sub>2</sub>-fixing microorganisms (CFMs) remained largely overlooked, while they could attenuate C emissions. Here, we use metabarcoding and digital droplet PCR to survey microorganisms that potentially fix CO<sub>2</sub> in different peatlands. We demonstrate that CFMs are abundant and diverse in peatlands, with on average 1021 CFMs contributing up to 40% of the total bacterial abundance. Using a joint-species distribution model, we identified a core and a specific CFM microbiome, the latter being influenced by temperature and nutrients. Our findings highlight that ASV richness and community structure were direct drivers of CFM abundance, while environmental parameters were indirect drivers. These results provide the basis for a better understanding of the role of CFMs in peatland C cycle inputs.

Authors

Institutions

Publication Details

Journal
npj Biodiversity
Published
2025-08-04
DOI
https://doi.org/10.1038/s44185-025-00099-1
Citations
1
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
1.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering diversity and abundance patterns of CO2-fixing microorganisms in peatlands

Vincent E. J. Jassey, Ellen Dorrepaal, Béatrice Lauga, Mariusz Lamentowicz et al.
1 citations
npj Biodiversity
Environmental DNA in Biodiversity Studies
1.72
article

Uncovering diversity and abundance patterns of CO2-fixing microorganisms in peatlands

Vincent E. J. Jassey, Ellen Dorrepaal, Béatrice Lauga, Mariusz Lamentowicz, Martin Küttim, Eeva‐Stiina Tuittila, Kyle Mayers, Anna Sytiuk, Marie Le Geay
article en
1 citations

Abstract

Microorganisms play a crucial role in the carbon (C) dynamics of peatlands - a major terrestrial C reservoir. Because of their role in C emissions, heterotrophic microorganisms have attracted much attention over the past decades. CO<sub>2</sub>-fixing microorganisms (CFMs) remained largely overlooked, while they could attenuate C emissions. Here, we use metabarcoding and digital droplet PCR to survey microorganisms that potentially fix CO<sub>2</sub> in different peatlands. We demonstrate that CFMs are abundant and diverse in peatlands, with on average 1021 CFMs contributing up to 40% of the total bacterial abundance. Using a joint-species distribution model, we identified a core and a specific CFM microbiome, the latter being influenced by temperature and nutrients. Our findings highlight that ASV richness and community structure were direct drivers of CFM abundance, while environmental parameters were indirect drivers. These results provide the basis for a better understanding of the role of CFMs in peatland C cycle inputs.

npj BiodiversityVol. 4(1)
Centre National de la Recherche Scientifique (FR), Université de Pau et des Pays de l'Adour (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Tallinn University (EE), Abisko Scientific Research Station (SE), Joensuu Science Park (FI), NORCE Research AS (NO), Institut de Recherche pour le Développement (FR), Adam Mickiewicz University in Poznań (PL), Umeå University (SE)
Polarforskningssekretariatet, Agence Nationale de la Recherche, Vetenskapsrådet, Université de Toulouse
Life below water
Openalex Percentile: Top 15%
Environmental DNA in Biodiversity Studies
1.72
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.