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Temporal assessment of microbial communities in soils of two contrasting mangroves
Rigonato, Janaina; Kent, Angela D; Gumiere, Thiago; Branco, Luiz Henrique Zanini; Andreote, Fernando Dini; Fiore, Marli Fátima.
Affiliation
  • Rigonato, Janaina; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
  • Kent, Angela D; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
  • Gumiere, Thiago; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
  • Branco, Luiz Henrique Zanini; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
  • Andreote, Fernando Dini; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
  • Fiore, Marli Fátima; University of São Paulo. Center for Nuclear Energy in Agriculture. Piracicaba. BR
Braz. j. microbiol ; Braz. j. microbiol;49(1): 87-96, Jan.-Mar. 2018. tab, graf
Article de En | LILACS | ID: biblio-889214
Bibliothèque responsable: BR1.1
ABSTRACT
ABSTRACT Variations in microbial communities promoted by alterations in environmental conditions are reflected in similarities/differences both at taxonomic and functional levels. Here we used a natural gradient within mangroves from seashore to upland, to contrast the natural variability in bacteria, cyanobacteria and diazotroph assemblages in a pristine area compared to an oil polluted area along a timespan of three years, based on ARISA (bacteria and cyanobacteria) and nifH T-RFLP (diazotrophs) fingerprinting. The data presented herein indicated that changes in all the communities evaluated were mainly driven by the temporal effect in the contaminated area, while local effects were dominant on the pristine mangrove. A positive correlation of community structure between diazotrophs and cyanobacteria was observed, suggesting the functional importance of this phylum as nitrogen fixers in mangroves soils. Different ecological patterns explained the microbial behavior in the pristine and polluted mangroves. Stochastic models in the pristine mangrove indicate that there is not a specific environmental factor that determines the bacterial distribution, while cyanobacteria and diazotrophs better fitted in deterministic model in the same area. For the contaminated mangrove site, deterministic models better represented the variations in the communities, suggesting that the presence of oil might change the microbial ecological structures over time. Mangroves represent a unique environment threatened by global change, and this study contributed to the knowledge of the microbial distribution in such areas and its response on persistent contamination historic events.
Sujet(s)
Mots clés

Texte intégral: 1 Indice: LILACS Sujet Principal: Sol / Microbiologie du sol / Bactéries Type d'étude: Prognostic_studies langue: En Texte intégral: Braz. j. microbiol Thème du journal: MICROBIOLOGIA Année: 2018 Type: Article / Project document

Texte intégral: 1 Indice: LILACS Sujet Principal: Sol / Microbiologie du sol / Bactéries Type d'étude: Prognostic_studies langue: En Texte intégral: Braz. j. microbiol Thème du journal: MICROBIOLOGIA Année: 2018 Type: Article / Project document