Metagenomic insight into the bioaugmentation mechanism of Phanerochaete chrysosporium in an activated sludge system treating coking wastewater.
Identifieur interne : 000161 ( Main/Exploration ); précédent : 000160; suivant : 000162Metagenomic insight into the bioaugmentation mechanism of Phanerochaete chrysosporium in an activated sludge system treating coking wastewater.
Auteurs : Wang Hailei [République populaire de Chine] ; Li Ping [République populaire de Chine] ; Wang Ying [République populaire de Chine] ; Liu Lei [République populaire de Chine] ; Yao Jianming [République populaire de Chine]Source :
- Journal of hazardous materials [ 1873-3336 ] ; 2017.
Descripteurs français
- KwdFr :
- Analyse de la demande biologique en oxygène (MeSH), Bactéries (métabolisme), Biologie informatique (MeSH), Biomasse (MeSH), Bioréacteurs (microbiologie), Cinétique (MeSH), Coke (analyse), Eaux d'égout (analyse), Eaux usées (analyse), Microbiologie de l'eau (MeSH), Métagénomique (MeSH), Phanerochaete (génétique), Phanerochaete (métabolisme), Phénols (composition chimique), Proteobacteria (métabolisme).
- MESH :
- analyse : Coke, Eaux d'égout, Eaux usées.
- composition chimique : Phénols.
- génétique : Phanerochaete.
- microbiologie : Bioréacteurs.
- métabolisme : Bactéries, Phanerochaete, Proteobacteria.
- Analyse de la demande biologique en oxygène, Biologie informatique, Biomasse, Cinétique, Microbiologie de l'eau, Métagénomique.
English descriptors
- KwdEn :
- Bacteria (metabolism), Biological Oxygen Demand Analysis (MeSH), Biomass (MeSH), Bioreactors (microbiology), Coke (analysis), Computational Biology (MeSH), Kinetics (MeSH), Metagenomics (MeSH), Phanerochaete (genetics), Phanerochaete (metabolism), Phenols (chemistry), Proteobacteria (metabolism), Sewage (analysis), Waste Water (analysis), Water Microbiology (MeSH).
- MESH :
- chemical , analysis : Coke, Sewage, Waste Water.
- chemical , chemistry : Phenols.
- genetics : Phanerochaete.
- metabolism : Bacteria, Phanerochaete, Proteobacteria.
- microbiology : Bioreactors.
- Biological Oxygen Demand Analysis, Biomass, Computational Biology, Kinetics, Metagenomics, Water Microbiology.
Abstract
Phanerochaete chrysosporium was seeded to a sequencing batch reactor treating phenol wastewater. Compared to the contrast reactor (R1), the bioaugmented reactor (R2) exhibits better performance in sludge settling ability, as well as biomass and phenol removal, even though the added fungus is not persistently surviving in the reactor. Bioaugmentation improved bacterial population, growing up to 10,000 times higher than that of eukaryotes. Metagenomic sequencing results show the bioaugmentation finally increases bacterial and eukaryotic richness, but reduces their community diversity. In contrast to R1, bacterial distribution in R2 is more concentrated in Proteobacteria. The relative abundances of filamentous fungi, yeast and microalgae in R2 are all higher than those in R1 at different treatment phases, and two reactors are finally dominated by different protozoan and metazoan. In conclusion, P. chrysosporium improves reactor performances by influencing microbial community structure, and this phenomenon might be attributed to the ecological competition in sludge and toxicity reduction of phenol wastewater. The novelty of this study emphasizes why a species which is not persistently active in bioreactor still plays a crucial role in enhancing reactor performance. Results obtained here impact the conventional criteria for selection of bioaugmentation microbes used in activated sludge systems.
DOI: 10.1016/j.jhazmat.2016.09.072
PubMed: 27720470
Affiliations:
Links toward previous steps (curation, corpus...)
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Electronic address: whl@htu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007, China; Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author><author><name sortKey="Ping, Li" sort="Ping, Li" uniqKey="Ping L" first="Li" last="Ping">Li Ping</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Ying, Wang" sort="Ying, Wang" uniqKey="Ying W" first="Wang" last="Ying">Wang Ying</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Lei, Liu" sort="Lei, Liu" uniqKey="Lei L" first="Liu" last="Lei">Liu Lei</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Jianming, Yao" sort="Jianming, Yao" uniqKey="Jianming Y" first="Yao" last="Jianming">Yao Jianming</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:27720470</idno><idno type="pmid">27720470</idno><idno type="doi">10.1016/j.jhazmat.2016.09.072</idno><idno type="wicri:Area/Main/Corpus">000191</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000191</idno><idno type="wicri:Area/Main/Curation">000191</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000191</idno><idno type="wicri:Area/Main/Exploration">000191</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Metagenomic insight into the bioaugmentation mechanism of Phanerochaete chrysosporium in an activated sludge system treating coking wastewater.</title><author><name sortKey="Hailei, Wang" sort="Hailei, Wang" uniqKey="Hailei W" first="Wang" last="Hailei">Wang Hailei</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China; Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China. Electronic address: whl@htu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007, China; Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author><author><name sortKey="Ping, Li" sort="Ping, Li" uniqKey="Ping L" first="Li" last="Ping">Li Ping</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Ying, Wang" sort="Ying, Wang" uniqKey="Ying W" first="Wang" last="Ying">Wang Ying</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Lei, Liu" sort="Lei, Liu" uniqKey="Lei L" first="Liu" last="Lei">Liu Lei</name><affiliation wicri:level="1"><nlm:affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Henan Normal University, Xinxiang 453007</wicri:regionArea><wicri:noRegion>Xinxiang 453007</wicri:noRegion></affiliation></author><author><name sortKey="Jianming, Yao" sort="Jianming, Yao" uniqKey="Jianming Y" first="Yao" last="Jianming">Yao Jianming</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author></analytic><series><title level="j">Journal of hazardous materials</title><idno type="eISSN">1873-3336</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bacteria (metabolism)</term><term>Biological Oxygen Demand Analysis (MeSH)</term><term>Biomass (MeSH)</term><term>Bioreactors (microbiology)</term><term>Coke (analysis)</term><term>Computational Biology (MeSH)</term><term>Kinetics (MeSH)</term><term>Metagenomics (MeSH)</term><term>Phanerochaete (genetics)</term><term>Phanerochaete (metabolism)</term><term>Phenols (chemistry)</term><term>Proteobacteria (metabolism)</term><term>Sewage (analysis)</term><term>Waste Water (analysis)</term><term>Water Microbiology (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de la demande biologique en oxygène (MeSH)</term><term>Bactéries (métabolisme)</term><term>Biologie informatique (MeSH)</term><term>Biomasse (MeSH)</term><term>Bioréacteurs (microbiologie)</term><term>Cinétique (MeSH)</term><term>Coke (analyse)</term><term>Eaux d'égout (analyse)</term><term>Eaux usées (analyse)</term><term>Microbiologie de l'eau (MeSH)</term><term>Métagénomique (MeSH)</term><term>Phanerochaete (génétique)</term><term>Phanerochaete (métabolisme)</term><term>Phénols (composition chimique)</term><term>Proteobacteria (métabolisme)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Coke</term><term>Sewage</term><term>Waste Water</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Phenols</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Coke</term><term>Eaux d'égout</term><term>Eaux usées</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Phénols</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Phanerochaete</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Phanerochaete</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Bacteria</term><term>Phanerochaete</term><term>Proteobacteria</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Bioréacteurs</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Bioreactors</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Bactéries</term><term>Phanerochaete</term><term>Proteobacteria</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biological Oxygen Demand Analysis</term><term>Biomass</term><term>Computational Biology</term><term>Kinetics</term><term>Metagenomics</term><term>Water Microbiology</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de la demande biologique en oxygène</term><term>Biologie informatique</term><term>Biomasse</term><term>Cinétique</term><term>Microbiologie de l'eau</term><term>Métagénomique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Phanerochaete chrysosporium was seeded to a sequencing batch reactor treating phenol wastewater. Compared to the contrast reactor (R1), the bioaugmented reactor (R2) exhibits better performance in sludge settling ability, as well as biomass and phenol removal, even though the added fungus is not persistently surviving in the reactor. Bioaugmentation improved bacterial population, growing up to 10,000 times higher than that of eukaryotes. Metagenomic sequencing results show the bioaugmentation finally increases bacterial and eukaryotic richness, but reduces their community diversity. In contrast to R1, bacterial distribution in R2 is more concentrated in Proteobacteria. The relative abundances of filamentous fungi, yeast and microalgae in R2 are all higher than those in R1 at different treatment phases, and two reactors are finally dominated by different protozoan and metazoan. In conclusion, P. chrysosporium improves reactor performances by influencing microbial community structure, and this phenomenon might be attributed to the ecological competition in sludge and toxicity reduction of phenol wastewater. The novelty of this study emphasizes why a species which is not persistently active in bioreactor still plays a crucial role in enhancing reactor performance. Results obtained here impact the conventional criteria for selection of bioaugmentation microbes used in activated sludge systems.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27720470</PMID><DateCompleted><Year>2018</Year><Month>08</Month><Day>20</Day></DateCompleted><DateRevised><Year>2018</Year><Month>08</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-3336</ISSN><JournalIssue CitedMedium="Internet"><Volume>321</Volume><PubDate><Year>2017</Year><Month>Jan</Month><Day>05</Day></PubDate></JournalIssue><Title>Journal of hazardous materials</Title><ISOAbbreviation>J Hazard Mater</ISOAbbreviation></Journal><ArticleTitle>Metagenomic insight into the bioaugmentation mechanism of Phanerochaete chrysosporium in an activated sludge system treating coking wastewater.</ArticleTitle><Pagination><MedlinePgn>820-829</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0304-3894(16)30894-9</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jhazmat.2016.09.072</ELocationID><Abstract><AbstractText>Phanerochaete chrysosporium was seeded to a sequencing batch reactor treating phenol wastewater. Compared to the contrast reactor (R1), the bioaugmented reactor (R2) exhibits better performance in sludge settling ability, as well as biomass and phenol removal, even though the added fungus is not persistently surviving in the reactor. Bioaugmentation improved bacterial population, growing up to 10,000 times higher than that of eukaryotes. Metagenomic sequencing results show the bioaugmentation finally increases bacterial and eukaryotic richness, but reduces their community diversity. In contrast to R1, bacterial distribution in R2 is more concentrated in Proteobacteria. The relative abundances of filamentous fungi, yeast and microalgae in R2 are all higher than those in R1 at different treatment phases, and two reactors are finally dominated by different protozoan and metazoan. In conclusion, P. chrysosporium improves reactor performances by influencing microbial community structure, and this phenomenon might be attributed to the ecological competition in sludge and toxicity reduction of phenol wastewater. The novelty of this study emphasizes why a species which is not persistently active in bioreactor still plays a crucial role in enhancing reactor performance. Results obtained here impact the conventional criteria for selection of bioaugmentation microbes used in activated sludge systems.</AbstractText><CopyrightInformation>Copyright © 2016 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hailei</LastName><ForeName>Wang</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China; Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China. Electronic address: whl@htu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ping</LastName><ForeName>Li</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ying</LastName><ForeName>Wang</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lei</LastName><ForeName>Liu</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>College of Life Sciences, Henan Normal University, Xinxiang 453007, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jianming</LastName><ForeName>Yao</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>10</Month><Day>01</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>J Hazard Mater</MedlineTA><NlmUniqueID>9422688</NlmUniqueID><ISSNLinking>0304-3894</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D003077">Coke</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010636">Phenols</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012722">Sewage</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D062065">Waste Water</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001419" MajorTopicYN="N">Bacteria</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D057919" MajorTopicYN="N">Biological Oxygen Demand Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019149" MajorTopicYN="N">Bioreactors</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003077" MajorTopicYN="N">Coke</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019295" MajorTopicYN="N">Computational Biology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007700" MajorTopicYN="N">Kinetics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D056186" MajorTopicYN="N">Metagenomics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020075" MajorTopicYN="N">Phanerochaete</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010636" MajorTopicYN="N">Phenols</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020560" MajorTopicYN="N">Proteobacteria</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012722" MajorTopicYN="N">Sewage</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D062065" MajorTopicYN="N">Waste 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PubStatus="pubmed"><Year>2016</Year><Month>10</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>8</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>10</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27720470</ArticleId><ArticleId IdType="pii">S0304-3894(16)30894-9</ArticleId><ArticleId IdType="doi">10.1016/j.jhazmat.2016.09.072</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Anhui</li></region><settlement><li>Hefei</li></settlement></list><tree><country name="République populaire de Chine"><region name="Anhui"><name sortKey="Hailei, Wang" sort="Hailei, Wang" uniqKey="Hailei W" first="Wang" last="Hailei">Wang Hailei</name></region><name sortKey="Jianming, Yao" sort="Jianming, Yao" uniqKey="Jianming Y" first="Yao" last="Jianming">Yao Jianming</name><name sortKey="Lei, Liu" sort="Lei, Liu" uniqKey="Lei L" first="Liu" last="Lei">Liu Lei</name><name sortKey="Ping, Li" sort="Ping, Li" uniqKey="Ping L" first="Li" last="Ping">Li Ping</name><name sortKey="Ying, Wang" sort="Ying, Wang" uniqKey="Ying W" first="Wang" last="Ying">Wang Ying</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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