Evidence map›Paper›PMID 42897614›Full record

ArticleEnvironmental microbiome2026

Metagenomics identifies distinct functional and taxonomic profiles between freshwaters and associated sediments in alpine habitats.

Anita Gattei, Sara Vettorazzo, Massimo Pindo, Nico Salmaso, Paolo Manghi, Stefano Larsen, Claudio Donati

Abstract read
In one paragraph

Article in Environmental microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Anita GatteiComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-1118-4461
Sara VettorazzoHydrobiology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.
Massimo PindoComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-8516-9010
Nico SalmasoHydrobiology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0001-6057-3642
Paolo ManghiComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0003-0846-6529
Stefano LarsenComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-6774-1407
Claudio DonatiComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, via Mach 1, 38098, San Michele all'Adige, Italy. claudio.donati@fmach.it.ORCID http://orcid.org/0000-0001-8688-1651

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PNRR, Mission 4 Component 2, Investment 1.4, D.D. 1034 17/06/2022, Project CN00000033
6 · The paper itself

Abstract

backgroundAlpine freshwater habitats are biodiversity hotspots, home to uniquely adapted microbial communities. However, our understanding of how taxonomic composition and metabolic potential of microbial communities varies across habitat type and physiography remains limited.

resultsUsing metagenomic sequencing, we examined microbial diversity and functions in sediment and water habitats across a physiographic gradient, including deep and shallow lakes, pasture ponds, ponds and peat bogs. Overall, sediments supported more diverse and even microbial communities. Conversely, waters displayed higher heterogeneity across the physiographic gradient in both taxonomic and functional composition. Notably, water communities from small water bodies, especially peat bogs and ponds, showed comparable diversity to their respective sediment communities, with higher taxonomic richness than aquatic communities from larger water bodies. Sediment microbial communities showed higher functional potential for nitrogen and methane metabolism, a pattern related to the likely anoxic conditions. By contrast, water bodies favored higher potential for carbohydrate metabolism, carbon oxidation and photosynthesis. Lastly, we recovered 496 bacterial and archaeal metagenome-assembled genomes and found that 73% could not be assigned at the species level.

conclusionsOur findings shed new light on the microbial diversity and metabolic potential of alpine freshwater ecosystems, highlighting the vast and unknown diversity harbored by these fragile alpine ecosystems.

Indexed as

Biodiversity monitoringFreshwater microbial ecologyFunctional analysisMetagenome-assembled genomesMetagenomics

Identifiers

PMID42897614
PMCPMC13679186

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.