The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , |
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 |