Evidence map›Paper›PMID 38071398›Full record

ArticleISME communications2023

Carbohydrates and carbohydrate degradation gene abundance and transcription in Atlantic waters of the Arctic.

Taylor Priest, Silvia Vidal-Melgosa, Jan-Hendrik Hehemann, Rudolf Amann, Bernhard M Fuchs

Abstract read
In one paragraph

Article in ISME communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Taylor PriestInstitute of Microbiology, ETH Zurich, Zurich, Switzerland. tpriest@ethz.ch.ORCID http://orcid.org/0000-0003-4173-8354
Silvia Vidal-MelgosaMax Planck Institute for Marine Microbiology, Bremen, Germany.ORCID http://orcid.org/0000-0002-9408-2849
Jan-Hendrik HehemannMax Planck Institute for Marine Microbiology, Bremen, Germany.ORCID http://orcid.org/0000-0002-8700-2564
Rudolf AmannMax Planck Institute for Marine Microbiology, Bremen, Germany.ORCID http://orcid.org/0000-0002-0846-7372
Bernhard M FuchsMax Planck Institute for Marine Microbiology, Bremen, Germany. bfuchs@mpi-bremen.de.ORCID http://orcid.org/0000-0001-9828-1290

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) HE 7217/5-1
6 · The paper itself

Abstract

Carbohydrates are chemically and structurally diverse, represent a substantial fraction of marine organic matter and are key substrates for heterotrophic microbes. Studies on carbohydrate utilisation by marine microbes have been centred on phytoplankton blooms in temperate regions, while far less is known from high-latitude waters and during later seasonal stages. Here, we combine glycan microarrays and analytical chromatography with metagenomics and metatranscriptomics to show the spatial heterogeneity in glycan distribution and potential carbohydrate utilisation by microbes in Atlantic waters of the Arctic. The composition and abundance of monomers and glycan structures in POM varied with location and depth. Complex fucose-containing sulfated polysaccharides, known to accumulate in the ocean, were consistently detected, while the more labile β-1,3-glucan exhibited a patchy distribution. Through 'omics analysis, we identify variations in the abundance and transcription of carbohydrate degradation-related genes across samples at the community and population level. The populations contributing the most to transcription were taxonomically related to those known as primary responders and key carbohydrate degraders in temperate ecosystems, such as NS4 Marine Group and Formosa. The unique transcription profiles for these populations suggest distinct substrate utilisation potentials, with predicted glycan targets corresponding to those structurally identified in POM from the same sampling sites. By combining cutting-edge technologies and protocols, we provide insights into the carbohydrate component of the carbon cycle in the Arctic during late summer and present a high-quality dataset that will be of great value for future comparative analyses.

Identifiers

PMID38071398
PMCPMC10710508

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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.