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Article: Potentially novel copper resistance genes in copper-enriched activated sludge revealed by metagenomic analysis

TitlePotentially novel copper resistance genes in copper-enriched activated sludge revealed by metagenomic analysis
Authors
KeywordsCopper
Copper resistance
Copper resistance gene
High-throughput sequencing
Metagenome
Issue Date2014
PublisherSpringer. The Journal's web site is located at http://link.springer.de/link/service/journals/00253/index.htm
Citation
Applied Microbiology and Biotechnology, 2014, v. 98 n. 24, p. 10255-10266 How to Cite?
AbstractIn this study, we utilized the Illumina high-throughput metagenomic approach to investigate diversity and abundance of both microbial community and copper resistance genes (CuRGs) in activated sludge (AS) which was enriched under copper selective stress up to 800 mg/L. The raw datasets (~3.5 Gb for each sample, i.e., the copper-enriched AS and the control AS) were merged and normalized for the BLAST analyses against the SILVA SSU rRNA gene database and self-constructed copper resistance protein database (CuRD). Also, the raw metagenomic sequences were assembled into contigs and analyzed based on Open Reading Frames (ORFs) to identify potentially novel copper resistance genes. Among the different resistance systems for copper detoxification under the high copper stress condition, the Cus system was the most enriched system. The results also indicated that genes encoding multi-copper oxidase played a more important role than those encoding efflux proteins. More significantly, several potentially novel copper resistance ORFs were identified by Pfam search and phylogenic analysis. This study demonstrated a new understanding of microbial-mediated copper resistance under high copper stress using high-throughput shotgun sequencing technique.
Persistent Identifierhttp://hdl.handle.net/10722/215201
ISSN
2021 Impact Factor: 5.560
2020 SCImago Journal Rankings: 1.074
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, L-
dc.contributor.authorCai, L-
dc.contributor.authorZhang, X-
dc.contributor.authorZhang, T-
dc.date.accessioned2015-08-21T13:17:48Z-
dc.date.available2015-08-21T13:17:48Z-
dc.date.issued2014-
dc.identifier.citationApplied Microbiology and Biotechnology, 2014, v. 98 n. 24, p. 10255-10266-
dc.identifier.issn0175-7598-
dc.identifier.urihttp://hdl.handle.net/10722/215201-
dc.description.abstractIn this study, we utilized the Illumina high-throughput metagenomic approach to investigate diversity and abundance of both microbial community and copper resistance genes (CuRGs) in activated sludge (AS) which was enriched under copper selective stress up to 800 mg/L. The raw datasets (~3.5 Gb for each sample, i.e., the copper-enriched AS and the control AS) were merged and normalized for the BLAST analyses against the SILVA SSU rRNA gene database and self-constructed copper resistance protein database (CuRD). Also, the raw metagenomic sequences were assembled into contigs and analyzed based on Open Reading Frames (ORFs) to identify potentially novel copper resistance genes. Among the different resistance systems for copper detoxification under the high copper stress condition, the Cus system was the most enriched system. The results also indicated that genes encoding multi-copper oxidase played a more important role than those encoding efflux proteins. More significantly, several potentially novel copper resistance ORFs were identified by Pfam search and phylogenic analysis. This study demonstrated a new understanding of microbial-mediated copper resistance under high copper stress using high-throughput shotgun sequencing technique.-
dc.languageeng-
dc.publisherSpringer. The Journal's web site is located at http://link.springer.de/link/service/journals/00253/index.htm-
dc.relation.ispartofApplied Microbiology and Biotechnology-
dc.subjectCopper-
dc.subjectCopper resistance-
dc.subjectCopper resistance gene-
dc.subjectHigh-throughput sequencing-
dc.subjectMetagenome-
dc.titlePotentially novel copper resistance genes in copper-enriched activated sludge revealed by metagenomic analysis-
dc.typeArticle-
dc.identifier.emailLi, L: liliguan@hku.hk-
dc.identifier.emailZhang, T: zhangt@hkucc.hku.hk-
dc.identifier.authorityLi, L=rp02879-
dc.identifier.authorityZhang, T=rp00211-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00253-014-5939-5-
dc.identifier.pmid25081552-
dc.identifier.scopuseid_2-s2.0-84916879430-
dc.identifier.hkuros249666-
dc.identifier.volume98-
dc.identifier.issue24-
dc.identifier.spage10255-
dc.identifier.epage10266-
dc.identifier.eissn1432-0614-
dc.identifier.isiWOS:000345331700029-
dc.publisher.placeGermany-
dc.identifier.issnl0175-7598-

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