1Centro de Biociências e Biotecnologia/ Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Rio de Janeiro, Brazil
2Centro de Biociências e Biotecnologia/ Laboratório de Química e Funções de Proteínas e Peptídeos, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, Brazil
3Centro de Ciências e Tecnologia/ Laboratório de Ciências Físicas, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Rio de Janeiro, Brazil
4Instituto de Biologia, CCS, Laboratório de Microbiologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Daudt Grativol A, Marchetti A, Wetler-Tonini RM, Venancio TM, Gatts CE, Thompson FL, Rezende CE.2015. Microbial interactions and implications for oil biodegradation process in mangrove sediments. PeerJ PrePrints3:e1398v1https://doi.org/10.7287/peerj.preprints.1398v1
Mangrove sediment harbors a unique microbiome and is a hospitable environment for the growth of a diverse group of bacteria capable of oil biodegradation. Our goal was to understand bacterial community dynamics from mangrove sediments under heavy-oil contamination stress, and to look for common patterns that may be associated with oil biodegradation is such environments. We tested the hypothesis of a two-phase pattern of petroleum biodegradation, already reported in the literature, where key events in the degradation process take place in the first three weeks after the contamination. Two sample sites with different oil pollution history were compared through T-RFLP analyses and using a pragmatic approach based on the Microbial Resource Management Framework. Our data corroborated the already reported two-phase pattern of oil biodegradation, although the original proposed explanation is questioned, opening up the possibility to consider other plausible hypothesis of microbial interactions as the main drivers of this pattern.
This is a submission to PeerJ for review.
Presence/absence and frequencies of T-RFLP for the four sampling sites considered in this study at each time-interval