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

doi:10.1371/journal.pone.0220695

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

PLoS One. 2019 Aug 9;14(8):e0220695. doi: 10.1371/journal.pone.0220695. eCollection 2019.

Authors

Mariana Câmara Dos Reis^{1

2}, Inessa Lacativa Bagatini³, Luciana de Oliveira Vidal⁴, Marie-Paule Bonnet^{5

6}, David da Motta Marques⁷, Hugo Sarmento¹

Affiliations

¹ Laboratory of Microbial Processes and Biodiversity, Departamento de Hidrobiologia, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
² Programa de Pós-graduação em Ecologia e Recursos Naturais, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
³ Laboratório de Ficologia, Departamento de Botânica, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
⁴ Laboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, RJ, Brazil.
⁵ UMR 228 Espace DEV, Institute of Research for Development, Montpellier, France.
⁶ International Joint Laboratory, LMI OCE, Institute of Research for Development /Universidade de Brasilia, Brasilia, Brazil.
⁷ Institute of Hydraulic Research, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bacteria*
Biodiversity
Brazil
DNA, Bacterial
Floods*
Hydrology
Lakes
Plankton*
Rivers*
Seasons
Spatio-Temporal Analysis
Wetlands*

Substances

DNA, Bacterial

Grants and funding

MCDR received a grant from Conselho nacional de desenvolvimento científico e tecnológico (grant process 132749/2015-7). ILB received a grant from Fundação de Amparo à Pesquisa do Estado de São Paulo (2013/18083-0). LOV received a grant from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (grant process AUXPE-PNPD 2837/2010). DMM received a grant from Conselho nacional de desenvolvimento científico e tecnológico (490634/2013-3). HS received a grant from Fundação de Amparo à Pesquisa do Estado de São Paulo (2014/13139-3) and Conselho nacional de desenvolvimento científico e tecnológico (309514/2017-7). This research was done under the auspices of CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil - grant number 490634/ 2013-3), IRD (Institut de Recherche pour le Développement), Fundação de Amparo à Pesquisa do Estado de São Paulo (2014/13139-3) and an international research program Clim-FABIAM (coordinated by MPB), which was funded by FRB (Fondation pour la Recherche sur la Biodiversité). The work also received funding from the International Joint Laboratory, LMI OCE (IRD/Universidade de Brasilia), from the European Union’s Horizon 2020 Research and innovation program under the Marie Skłodowska-Curie grant (N°. 691053 H2020-MSCA-RISE-2015 ODYSSEA project) and is part of the activities of the INCT nº 16- 2014 ODISSEIA, with funding from CNPq, Capes and Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF). The funders URLs are: http://www.cnpq.br/; http://www.fapesp.br/; http://www.capes.gov.br; https://www.ird.fr/; https://ec.europa.eu/programmes/horizon2020/; http://www.fap.df.gov.br/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.