The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China

Detalhes bibliográficos
Autor(a) principal: Yao,Xie-feng
Data de Publicação: 2017
Outros Autores: Zhang,Jiu-ming, Tian,Li, Guo,Jian-hua
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Microbiology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822017000100071
Resumo: Abstract In this study, determination of heavy metal parameters and microbiological characterization of marine sediments obtained from two heavily polluted sites and one low-grade contaminated reference station at Jiaozhou Bay in China were carried out. The microbial communities found in the sampled marine sediments were studied using PCR-DGGE (denaturing gradient gel electrophoresis) fingerprinting profiles in combination with multivariate analysis. Clustering analysis of DGGE and matrix of heavy metals displayed similar occurrence patterns. On this basis, 17 samples were classified into two clusters depending on the presence or absence of the high level contamination. Moreover, the cluster of highly contaminated samples was further classified into two sub-groups based on the stations of their origin. These results showed that the composition of the bacterial community is strongly influenced by heavy metal variables present in the sediments found in the Jiaozhou Bay. This study also suggested that metagenomic techniques such as PCR-DGGE fingerprinting in combination with multivariate analysis is an efficient method to examine the effect of metal contamination on the bacterial community structure.
id SBM-1_c90dd0177c5aeb0fe9b1e4907f4bc2f7
oai_identifier_str oai:scielo:S1517-83822017000100071
network_acronym_str SBM-1
network_name_str Brazilian Journal of Microbiology
repository_id_str
spelling The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, ChinaHeavy metal contaminationPCR-DGGE fingerprintingMultivariate analysisBacterial community structureAbstract In this study, determination of heavy metal parameters and microbiological characterization of marine sediments obtained from two heavily polluted sites and one low-grade contaminated reference station at Jiaozhou Bay in China were carried out. The microbial communities found in the sampled marine sediments were studied using PCR-DGGE (denaturing gradient gel electrophoresis) fingerprinting profiles in combination with multivariate analysis. Clustering analysis of DGGE and matrix of heavy metals displayed similar occurrence patterns. On this basis, 17 samples were classified into two clusters depending on the presence or absence of the high level contamination. Moreover, the cluster of highly contaminated samples was further classified into two sub-groups based on the stations of their origin. These results showed that the composition of the bacterial community is strongly influenced by heavy metal variables present in the sediments found in the Jiaozhou Bay. This study also suggested that metagenomic techniques such as PCR-DGGE fingerprinting in combination with multivariate analysis is an efficient method to examine the effect of metal contamination on the bacterial community structure.Sociedade Brasileira de Microbiologia2017-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822017000100071Brazilian Journal of Microbiology v.48 n.1 2017reponame:Brazilian Journal of Microbiologyinstname:Sociedade Brasileira de Microbiologia (SBM)instacron:SBM10.1016/j.bjm.2016.09.007info:eu-repo/semantics/openAccessYao,Xie-fengZhang,Jiu-mingTian,LiGuo,Jian-huaeng2017-01-24T00:00:00Zoai:scielo:S1517-83822017000100071Revistahttps://www.scielo.br/j/bjm/ONGhttps://old.scielo.br/oai/scielo-oai.phpbjm@sbmicrobiologia.org.br||mbmartin@usp.br1678-44051517-8382opendoar:2017-01-24T00:00Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)false
dc.title.none.fl_str_mv The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
title The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
spellingShingle The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
Yao,Xie-feng
Heavy metal contamination
PCR-DGGE fingerprinting
Multivariate analysis
Bacterial community structure
title_short The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
title_full The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
title_fullStr The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
title_full_unstemmed The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
title_sort The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
author Yao,Xie-feng
author_facet Yao,Xie-feng
Zhang,Jiu-ming
Tian,Li
Guo,Jian-hua
author_role author
author2 Zhang,Jiu-ming
Tian,Li
Guo,Jian-hua
author2_role author
author
author
dc.contributor.author.fl_str_mv Yao,Xie-feng
Zhang,Jiu-ming
Tian,Li
Guo,Jian-hua
dc.subject.por.fl_str_mv Heavy metal contamination
PCR-DGGE fingerprinting
Multivariate analysis
Bacterial community structure
topic Heavy metal contamination
PCR-DGGE fingerprinting
Multivariate analysis
Bacterial community structure
description Abstract In this study, determination of heavy metal parameters and microbiological characterization of marine sediments obtained from two heavily polluted sites and one low-grade contaminated reference station at Jiaozhou Bay in China were carried out. The microbial communities found in the sampled marine sediments were studied using PCR-DGGE (denaturing gradient gel electrophoresis) fingerprinting profiles in combination with multivariate analysis. Clustering analysis of DGGE and matrix of heavy metals displayed similar occurrence patterns. On this basis, 17 samples were classified into two clusters depending on the presence or absence of the high level contamination. Moreover, the cluster of highly contaminated samples was further classified into two sub-groups based on the stations of their origin. These results showed that the composition of the bacterial community is strongly influenced by heavy metal variables present in the sediments found in the Jiaozhou Bay. This study also suggested that metagenomic techniques such as PCR-DGGE fingerprinting in combination with multivariate analysis is an efficient method to examine the effect of metal contamination on the bacterial community structure.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822017000100071
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822017000100071
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.bjm.2016.09.007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
dc.source.none.fl_str_mv Brazilian Journal of Microbiology v.48 n.1 2017
reponame:Brazilian Journal of Microbiology
instname:Sociedade Brasileira de Microbiologia (SBM)
instacron:SBM
instname_str Sociedade Brasileira de Microbiologia (SBM)
instacron_str SBM
institution SBM
reponame_str Brazilian Journal of Microbiology
collection Brazilian Journal of Microbiology
repository.name.fl_str_mv Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)
repository.mail.fl_str_mv bjm@sbmicrobiologia.org.br||mbmartin@usp.br
_version_ 1752122208825638912