Evidence map›Paper›PMID 40042334›Full record

ArticleMicrobiology spectrum2025

Linking soil microbial genomic features to forest-to-pasture conversion in the Amazon.

Andressa M Venturini, Júlia B Gontijo, Louis Berrios, Jorge L Mazza Rodrigues, Kabir G Peay, Siu M Tsai

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Characterization of defensome genes and mobile genetic Elements in different types of pasture soil agroecosystems from the Brazilian Amazon.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  2. Article
  3. Article
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

6 authors.

Andressa M VenturiniCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID 0000-0002-5901-1658
Júlia B GontijoCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID 0000-0003-1942-7242
Louis BerriosDepartment of Biology, Stanford University, Stanford, California, USA.ORCID 0000-0003-3888-9928
Jorge L Mazza RodriguesDepartment of Land, Air, and Water Resources, University of California-Davis, Davis, California, USA.ORCID 0000-0002-6446-6462
Kabir G Peay *Department of Biology, Stanford University, Stanford, California, USA.ORCID 0000-0002-7998-7412
Siu M Tsai *Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID 0000-0002-3733-6312

Funding

Canadian Institute for Advanced Research (CIFAR)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 133769/2015-1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 140032/2015-0Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 311008/2016-0Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 314806/2021-0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2014/50320-4Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2015/13546-7Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2018/14974-0National Science Foundation (NSF) 2109481National Science Foundation (NSF) DEB 1442214National Science Foundation (NSF) DEB 1952687Stanford Doerr School of Sustainability Discovery grant
6 · The paper itself

Abstract

Amazonian soil microbial communities are known to be altered by land-use change. However, attempts to understand these impacts have focused on broader community alterations or the response of specific microbial groups. Here, we recovered and characterized 69 soil bacterial and archaeal metagenome-assembled genomes (MAGs) from three forests and three pastures of the Eastern Brazilian Amazon and evaluated the impacts of land conversion on their genomic features. Pasture MAGs had significantly higher GC content (64.9% vs 60.2%), genome size (4.0 vs 3.1 Mbp), and number of coding sequences (4,058 vs 3,306) compared to forest genomes. Taxonomically, MAGs belonged to eight phyla; however, most (90%) had low similarity to previously known species, indicating potentially novel taxa at multiple levels. We also observed that the functional profiles associated with biogeochemical cycling and carbohydrate-active enzyme genes were impacted by forest conversion, with pasture MAGs exhibiting a notably higher number of both gene groups. Together, these data constitute the largest single-sourced genomic data set from upland soils of the Brazilian Amazon to date and increase the known MAG richness in these soils by 78%. Our data, therefore, not only add to a neglected yet emerging field but, importantly, highlight that land-use change has drastic impacts on the genomic characteristics and functional traits of dominant soil microbes.IMPORTANCEThe Brazilian Amazon is facing unprecedented threats, including increasing deforestation and degradation, which together impact half of the original forest area. Soil microorganisms are sensitive indicators of land-use change, linked to a rise in microbial methane emissions and antibiotic-resistance genes in the Amazon. However, most Amazonian soil microbes remain unknown, and little attention has been given to their genomes. Using sequencing and bioinformatics, we recovered and characterized 69 soil bacterial and archaeal genomes (metagenome-assembled genomes). These abundant members of the microbial communities diverged across forests and pastures in terms of taxonomic and functional traits. Forest conversion favors organisms with specific genomic features - increased GC content, genome size, and gene number - selecting for microorganisms that can thrive under altered conditions. Our paper helps us understand the intricate relationships between microbes and the environment, which are crucial pieces of information for comprehensive soil health assessments and future policy formulation.

Indexed as

ArchaeaBacteriaSoil MicrobiologyBase CompositionBrazilForestsGenome, ArchaealGenome, BacterialGenomicsMetagenomePhylogenySoilSoilAmazon rainforestarchaeabacteriadeforestationgenomic characteristicsland-use changemetagenome-assembled genomesmetagenomicsmicrobial ecologysoil microbiology

Identifiers

PMID40042334
PMCPMC11960080

What OpenQuestion holds

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LicenceCC BY
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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.