Literature DB >> 31612432

Chemical and biological dispersants differently affect the bacterial communities of uncontaminated and oil-contaminated marine water.

Camila Rattes de Almeida Couto1, Deborah Catharine de Assis Leite1, Diogo Jurelevicius1, Jan Dirk van Elsas2, Lucy Seldin3,4.   

Abstract

The use of dispersants in marine environments is a common practice worldwide for oil spill remediation. While the effects of chemical dispersants have been extensively studied, those of biosurfactants, mainly surfactin that is considered one of the most effective surfactants produced by bacteria, have been less considered. We constructed microcosms containing marine water collected from Grumari beach (W_GB, Brazil) and from Schiermonnikoog beach (W_SI, The Netherlands) with the addition of oil (WO), Ultrasperse II plus oil (WOS), surfactin plus oil (WOB), and both dispersants (WS or WB) individually. In these treatments, the composition of bacterial communities and their predictive biodegradation potential were determined over time. High-throughput sequencing of the rrs gene encoding bacterial 16S rRNA revealed that Bacteroidetes (Flavobacteria class) and Proteobacteria (mainly Gammaproteobacteria and Alphaproteobacteria classes) were the most abundant phyla found among the W_GB and W_SI microbiomes, and the relative abundance of the bacterial types in the different microcosms varied based on the treatment applied. Non-metrical multidimensional scaling (NMDS) revealed a clear clustering based on the addition of oil and on the dispersant type added to the GB or SI microcosms, i.e., WB and WOB were separated from WS and WOS in both marine ecosystems studied. The potential presence of diverse enzymes involved in oil degradation was indicated by predictive bacterial metagenome reconstruction. The abundance of predicted genes for degradation of petroleum hydrocarbons increased more in surfactin-treated microcosms than those treated with Ultrasperse II, mainly in the marine water samples from Grumari beach.

Entities:  

Keywords:  Bacterial community; Biosurfactant; Dispersants; Marine water; Oil

Year:  2019        PMID: 31612432      PMCID: PMC7203333          DOI: 10.1007/s42770-019-00153-8

Source DB:  PubMed          Journal:  Braz J Microbiol        ISSN: 1517-8382            Impact factor:   2.476


  30 in total

1.  Succession of bacterial community along with the removal of heavy crude oil pollutants by multiple biostimulation treatments in the Yellow River Delta, China.

Authors:  Sulin Yu; Shuguang Li; Yueqin Tang; Xiaolei Wu
Journal:  J Environ Sci (China)       Date:  2011       Impact factor: 5.565

2.  Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; Catherine A Lozupone; Peter J Turnbaugh; Noah Fierer; Rob Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-03       Impact factor: 11.205

3.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

4.  Chemical dispersants: Oil biodegradation friend or foe?

Authors:  Shokouh Rahsepar; Martijn P J Smit; Albertinka J Murk; Huub H M Rijnaarts; Alette A M Langenhoff
Journal:  Mar Pollut Bull       Date:  2016-05-04       Impact factor: 5.553

Review 5.  Microbial degradation of petroleum hydrocarbons.

Authors:  Sunita J Varjani
Journal:  Bioresour Technol       Date:  2016-10-15       Impact factor: 9.642

Review 6.  Obligate oil-degrading marine bacteria.

Authors:  Michail M Yakimov; Kenneth N Timmis; Peter N Golyshin
Journal:  Curr Opin Biotechnol       Date:  2007-05-09       Impact factor: 9.740

7.  Hydrocarbon-Degrading Bacteria Exhibit a Species-Specific Response to Dispersed Oil while Moderating Ecotoxicity.

Authors:  Will A Overholt; Kala P Marks; Isabel C Romero; David J Hollander; Terry W Snell; Joel E Kostka
Journal:  Appl Environ Microbiol       Date:  2015-11-06       Impact factor: 4.792

8.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

9.  Hydrocarbon-degrading bacteria: the oil-spill clean-up crew.

Authors:  Rob J W Brooijmans; Margreet I Pastink; Roland J Siezen
Journal:  Microb Biotechnol       Date:  2009-11       Impact factor: 5.813

Review 10.  Recent studies in microbial degradation of petroleum hydrocarbons in hypersaline environments.

Authors:  Babu Z Fathepure
Journal:  Front Microbiol       Date:  2014-04-23       Impact factor: 5.640

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