Literature DB >> 27784536

A bacterial community-based index to assess the ecological status of estuarine and coastal environments.

Eva Aylagas1, Ángel Borja2, Michael Tangherlini3, Antonio Dell'Anno3, Cinzia Corinaldesi3, Craig T Michell4, Xabier Irigoien5, Roberto Danovaro3, Naiara Rodríguez-Ezpeleta6.   

Abstract

Biotic indices for monitoring marine ecosystems are mostly based on the analysis of benthic macroinvertebrate communities. Due to their high sensitivity to pollution and fast response to environmental changes, bacterial assemblages could complement the information provided by benthic metazoan communities as indicators of human-induced impacts, but so far, this biological component has not been well explored for this purpose. Here we performed 16S rRNA gene amplicon sequencing to analyze the bacterial assemblage composition of 51 estuarine and coastal stations characterized by different environmental conditions and human-derived pressures. Using the relative abundance of putative indicator bacterial taxa, we developed a biotic index that is significantly correlated with a sediment quality index calculated on the basis of organic and inorganic compound concentrations. This new index based on bacterial assemblage composition can be a sensitive tool for providing a fast environmental assessment and allow a more comprehensive integrative ecosystem approach for environmental management.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Amplicon sequencing; Bacterial assemblages; Biomonitoring; Biotic index; Indicator of pollution

Mesh:

Substances:

Year:  2016        PMID: 27784536     DOI: 10.1016/j.marpolbul.2016.10.050

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  6 in total

1.  Plankton community assessment in anthropogenic-impacted oligotrophic coastal regions.

Authors:  John K Pearman; Fidan Afandi; Peiying Hong; Susana Carvalho
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-04       Impact factor: 4.223

Review 2.  Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience.

Authors:  David J Beale; Oliver A H Jones; Utpal Bose; James A Broadbent; Thomas K Walsh; Jodie van de Kamp; Andrew Bissett
Journal:  Emerg Top Life Sci       Date:  2022-04-15

Review 3.  Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges.

Authors:  James M W R McElhinney; Mary Krystelle Catacutan; Aurelie Mawart; Ayesha Hasan; Jorge Dias
Journal:  Front Microbiol       Date:  2022-04-25       Impact factor: 6.064

4.  Grab what you can-an evaluation of spatial replication to decrease heterogeneity in sediment eDNA metabarcoding.

Authors:  Jon T Hestetun; Anders Lanzén; Thomas G Dahlgren
Journal:  PeerJ       Date:  2021-06-21       Impact factor: 2.984

5.  Limited congruence exhibited across microbial, meiofaunal and macrofaunal benthic assemblages in a heterogeneous coastal environment.

Authors:  Sorcha Cronin-O'Reilly; Joe D Taylor; Ian Jermyn; A Louise Allcock; Michael Cunliffe; Mark P Johnson
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

6.  Comparing sediment DNA extraction methods for assessing organic enrichment associated with marine aquaculture.

Authors:  John K Pearman; Nigel B Keeley; Susanna A Wood; Olivier Laroche; Anastasija Zaiko; Georgia Thomson-Laing; Laura Biessy; Javier Atalah; Xavier Pochon
Journal:  PeerJ       Date:  2020-10-27       Impact factor: 2.984

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.