Evidence map›Paper›PMID 31398199›Full record

ArticlePloS one2019

Spatial heterogeneity and hydrological fluctuations drive bacterioplankton community composition in an Amazon floodplain system.

Mariana Câmara Dos Reis, Inessa Lacativa Bagatini, Luciana de Oliveira Vidal, Marie-Paule Bonnet, David da Motta Marques, Hugo Sarmento

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
  2. Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Mariana Câmara Dos ReisLaboratory of Microbial Processes and Biodiversity, Departamento de Hidrobiologia, Universidade Federal de São Carlos, São Carlos, SP, Brazil.ORCID 0000-0003-4887-5351
Inessa Lacativa BagatiniLaboratório de Ficologia, Departamento de Botânica, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Luciana de Oliveira VidalLaboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, RJ, Brazil.
Marie-Paule BonnetUMR 228 Espace DEV, Institute of Research for Development, Montpellier, France.
David da Motta MarquesInstitute of Hydraulic Research, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Hugo SarmentoLaboratory of Microbial Processes and Biodiversity, Departamento de Hidrobiologia, Universidade Federal de São Carlos, São Carlos, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amazonian floodplains form complex hydrological networks that play relevant roles in global biogeochemical cycles, and bacterial degradation of the organic matter in these systems is key for regional carbon budget. The Amazon undergoes extreme seasonal variations in water level, which produces changes in landscape and diversifies sources of organic inputs into floodplain systems. Although these changes should affect bacterioplankton community composition (BCC), little is known about which factors drive spatial and temporal patterns of bacterioplankton in these Amazonian floodplains. We used high-throughput sequencing (Illumina MiSeq) of the V3-V4 region of the 16S rRNA gene to investigate spatial and temporal patterns of BCC of two size fractions, and their correlation with environmental variables in an Amazon floodplain lake (Lago Grande do Curuai). We found a high degree of novelty in bacterioplankton, as more than half of operational taxonomic units (OTUs) could not be classified at genus level. Spatial habitat heterogeneity and the flood pulse were the main factors shaping free-living (FL) BCC. The gradient of organic matter from transition zone-lake-Amazon River was the main driver for particle-attached (PA) BCC. The BCC reflected the complexity of the system, with more variation in space than in time, although both factors were important drivers of the BCC in this Amazon floodplain system.

Indexed as

BacteriaFloodsPlanktonRiversWetlandsBiodiversityBrazilDNA, BacterialHydrologyLakesSeasonsSpatio-Temporal AnalysisDNA, Bacterial

Identifiers

PMID31398199
PMCPMC6688838

What OpenQuestion holds

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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.