Evidence map›Paper›PMID 31250077›Full record

ArticleMicrobial ecology2020

Ecological Processes Shaping Bulk Soil and Rhizosphere Microbiome Assembly in a Long-Term Amazon Forest-to-Agriculture Conversion.

Dennis Goss-Souza, Lucas William Mendes, Jorge Luiz Mazza Rodrigues, Siu Mui Tsai

Abstract read
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In one paragraph

Article in Microbial ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  13. Towards sustainable agriculture: rhizosphere microbiome engineering.Applied microbiology and biotechnology · 2021
    Review
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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

4 authors.

Dennis Goss-SouzaCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil.
Lucas William MendesCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil. lucaswmendes@gmail.com.ORCID http://orcid.org/0000-0003-0980-7006
Jorge Luiz Mazza RodriguesDepartment of Land, Air and Water Resources, University of California - Davis, Davis, CA, 95616, USA.
Siu Mui TsaiCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 311008/2016-0Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR) 140317/2014-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2008/58114-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/50320-4
6 · The paper itself

Abstract

Forest-to-agriculture conversion has been identified as a major threat to soil biodiversity and soil processes resilience, although the consequences of long-term land use change to microbial community assembly and ecological processes have been often neglected. Here, we combined metagenomic approach with a large environmental dataset, to (i) identify the microbial assembly patterns and, (ii) to evaluate the ecological processes governing microbial assembly, in bulk soil and soybean rhizosphere, along a long-term forest-to-agriculture conversion chronosequence, in Eastern Amazon. We hypothesized that (i) microbial communities in bulk soil and rhizosphere have different assembly patterns and (ii) the weight of the four ecological processes governing assembly differs between bulk soil and rhizosphere and along the chronosequence in the same fraction. Community assembly in bulk soil fitted most the zero-sum multinomial (ZSM) neutral-based model, regardless of time. Low to intermediate dispersal was observed. Decreasing influence of abiotic factors was counterbalanced by increasing influence of biotic factors, as the chronosequence advanced. Undominated ecological processes of dispersal limitation and variable selection governing community assembly were observed in this soil fraction. For soybean rhizosphere, community assembly fitted most the lognormal niche-based model in all chronosequence areas. High dispersal and an increasing influence of abiotic factors coupled with a decreasing influence of biotic factors were found along the chronosequence. Thus, we found a dominant role of dispersal process governing microbial assembly with a secondary effect of homogeneous selection process, mainly driven by decreasing aluminum and increased cations saturation in soil solution, due to long-term no-till cropping. Together, our results indicate that long-term no-till lead community abundances in bulk soil to be in a transient and conditional state, while for soybean rhizosphere, community abundances reach a periodic and permanent distribution state. Dominant dispersal process in rhizosphere, coupled with homogeneous selection, brings evidences that soybean root system selects microbial taxa via trade-offs in order to keep functional resilience of soil processes.

Indexed as

MicrobiotaSoil MicrobiologyAgricultureBacteriaBiodiversityForestsGlycine maxPhylogenyRhizosphereTreesMetagenomicsMicrobial dispersalNeutral theorySelectionSoybean rhizosphere

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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.