Evidence map›Paper›PMID 35852752›Full record

ArticleAntonie van Leeuwenhoek2022

Biogeographic responses and niche occupancy of microbial communities following long-term land-use change.

Dennis Goss-Souza, Siu Mui Tsai, Jorge Luiz Mazza Rodrigues, Osmar Klauberg-Filho, José Paulo Sousa, Dilmar Baretta, Lucas William Mendes

Abstract read
PubMed Publisher
In one paragraph

Article in Antonie van Leeuwenhoek, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Dennis Goss-SouzaCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil. dennis.goss@ifpr.edu.br.ORCID http://orcid.org/0000-0003-3362-1789
Siu Mui TsaiCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil.ORCID http://orcid.org/0000-0002-3733-6312
Jorge Luiz Mazza RodriguesDepartment of Land, Air and Water Resources, University of California at Davis, Davis, CA, 95616, USA.ORCID http://orcid.org/0000-0002-6446-6462
Osmar Klauberg-FilhoDepartment of Soils and Natural Resources, Santa Catarina State University, Lages, SC, 88523-000, Brazil.ORCID http://orcid.org/0000-0002-7733-9745
José Paulo SousaDepartment of Life Sciences, University of Coimbra, P3000-456, Coimbra, Portugal.ORCID http://orcid.org/0000-0001-8045-4296
Dilmar BarettaDepartment of Soils and Natural Resources, Santa Catarina State University, Lages, SC, 88523-000, Brazil.ORCID http://orcid.org/0000-0001-8219-1362
Lucas William MendesCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil.ORCID http://orcid.org/0000-0003-0980-7006

Funding

FAPESP/CNPq 2008/58114-3FAPESP/NSF 2014/50320-4PRONEX-CNPq/FAPESP No. 140317/ 2014-7SisBiota-CNPq 563251/2010-7
6 · The paper itself

Abstract

Understanding the effects of forest-to-agriculture conversion on microbial diversity has been a major goal in soil ecological studies. However, linking community assembly to the ruling ecological processes at local and regional scales remains challenging. Here, we evaluated bacterial community assembly patterns and the ecological processes governing niche specialization in a gradient of geography, seasonality, and land-use change, totaling 324 soil samples, 43 habitat characteristics (abiotic factors), and 16 metabolic and co-occurrence patterns (biotic factors), in the Brazilian Atlantic Rainforest, a subtropical biome recognized as one the world's largest and most threatened hotspots of biodiversity. Pairwise beta diversities were lower in pastures than in forest and no-till soils. Pasture communities showed a predominantly neutral model, regarding stochastic processes, with moderate dispersion, leading to biotic homogenization. Most no-till and forest microbial communities followed a niche-based model, with low rates of dispersal and weak homogenizing selection, indicating niche specialization or variable selection. Historical and evolutionary contingencies, as represented by soil type, season, and dispersal limitation were the main drivers of microbial assembly and processes at the local scale, markedly correlated with the occurrence of endemic microbes. Our results indicate that the patterns of assembly and their governing processes are dependent on the niche occupancy of the taxa evaluated (generalists or specialists). They are also more correlated with historical and evolutionary contingencies and the interactions among taxa (i.e., co-occurrence patterns) than the land-use change itself.

Indexed as

MicrobiotaSoil MicrobiologyBiodiversityForestsSoilSoilBiodiversity hotspotsHistorical contingencyLand-use changeMicrobial niche specializationSoil bacterial co-occurrenceSpatial distance

Identifiers

What OpenQuestion holds

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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.