Microbial Community Shift Under Exposure of Dredged Sediments From a Eutrophic Bay

  • Juliana R. Nascimento
  • , Cole Easson
  • , Diogo de A. Jurelevicius
  • , Jose V Lopez
  • , Edison D. Bidone
  • , Elisamara Sabadini-Santos

Research output: Contribution to journalArticlepeer-review

Abstract

Microbial communities occur in almost every habitat. To evaluate the homeostasis disruption of in situ microbiomes, dredged sediments from Guanabara Bay-Brazil (GB) were mixed with sediments from outside of the bay (D) in three different proportions (25%, 50%, and 75%) which we called GBD25, GBD50, and GBD75. Grain size, TOC, and metals—as indicators of complex contamination—dehydrogenase (DHA) and esterase enzymes (EST)—as indicators of microbial community availability—were determined. Microbial community composition was addressed by amplifying the 16S rRNA gene for DGGE analysis and sequencing using MiSeq platform (Illumina).We applied the quality ratio index (QR) to the GB, D, and every GBD mixture to integrate geochemical parameters with our microbiome data. QR indicated high environmental risk for GB and every GBD mixture, and low risk for D. The community shifted from aerobic to anaerobic profile, consistent with the characteristics of GB. Sample D was dominated by JTB255 marine benthic group, related to low impacted areas. Milano-WF1B-44 was the most representative of GB, often found in anaerobic and sulfur enriched environments. In GBD, the denitrifying sulfur-oxidizing bacteria, Sulfurovum , was the most representative, typically found in suboxic or anoxic niches. The canonical correspondence analysis was able to explain 60% of the community composition variation and exhibit the decrease of environmental quality as the contamination increases. Physiological and taxonomic shifts of the microbial assemblage in sediments were inferred by QR, which was suitable to determine sediment risk. The study produced sufficient information to improve the dredging plan and management.

Original languageAmerican English
Article number539
JournalEnvironmental Monitoring and Assessment
Volume192
Issue number8
DOIs
StatePublished - Jul 23 2020

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Funding

The authors are thankful to professors Mirian Crapez, Emmanoel Silva-Filho, Renato Cordeiro, and Micheli Ferreira from Universidade Federal Fluminense (UFF) for lab facilities. This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES/ Finance Code 001 and Programa de Doutorado Sanduíche no Exterior no. 88881.135581/2016-01) and by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/Universal n°449631/2014-1 and CNPq/PDJ no. 155406/2018-3). Acknowledgments

FundersFunder number
PDJ155406/2018-3
Universal449631/2014-1
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior88881.135581/2016-01
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Universidade Federal Fluminense

    ASJC Scopus Subject Areas

    • Pollution
    • General Environmental Science
    • Management, Monitoring, Policy and Law

    Keywords

    • Enzymes
    • Guanabara Bay
    • Quality ratio
    • Risk assessment
    • Sequencing

    Disciplines

    • Biology
    • Life Sciences
    • Microbiology

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