Metagenomic profiling for assessing microbial diversity and microbial adaptation to degradation of hydrocarbons in two South African petroleum-contaminated water aquifers.
Identifieur interne : 000D87 ( Main/Exploration ); précédent : 000D86; suivant : 000D88Metagenomic profiling for assessing microbial diversity and microbial adaptation to degradation of hydrocarbons in two South African petroleum-contaminated water aquifers.
Auteurs : Leonard Kachienga [Afrique du Sud] ; Keshri Jitendra [Israël] ; Maggy Momba [Afrique du Sud]Source :
- Scientific reports [ 2045-2322 ] ; 2018.
Descripteurs français
- KwdFr :
- Adaptation physiologique (MeSH), Animaux (MeSH), Champignons (classification), Champignons (effets des médicaments et des substances chimiques), Champignons (génétique), Champignons (isolement et purification), Dépollution biologique de l'environnement (MeSH), Hydrocarbures (composition chimique), Microbiologie de l'eau (MeSH), Métagénomique (méthodes), Parasites (classification), Parasites (génétique), Parasites (isolement et purification), Phylogenèse (MeSH), Pollution chimique de l'eau (effets indésirables), Pétrole (effets indésirables).
- MESH :
- composition chimique : Champignons, Hydrocarbures, Parasites.
- effets des médicaments et des substances chimiques : Champignons.
- effets indésirables : Pollution chimique de l'eau, Pétrole.
- génétique : Champignons, Parasites.
- isolement et purification : Champignons, Parasites.
- méthodes : Métagénomique.
- Adaptation physiologique, Animaux, Dépollution biologique de l'environnement, Microbiologie de l'eau, Phylogenèse.
English descriptors
- KwdEn :
- Adaptation, Physiological (MeSH), Animals (MeSH), Biodegradation, Environmental (MeSH), Fungi (classification), Fungi (drug effects), Fungi (genetics), Fungi (isolation & purification), Hydrocarbons (chemistry), Metagenomics (methods), Parasites (classification), Parasites (genetics), Parasites (isolation & purification), Petroleum (adverse effects), Phylogeny (MeSH), Water Microbiology (MeSH), Water Pollution, Chemical (adverse effects).
- MESH :
- chemical , adverse effects : Petroleum.
- chemical , chemistry : Hydrocarbons.
- adverse effects : Water Pollution, Chemical.
- classification : Fungi, Parasites.
- drug effects : Fungi.
- genetics : Fungi, Parasites.
- isolation & purification : Fungi, Parasites.
- methods : Metagenomics.
- Adaptation, Physiological, Animals, Biodegradation, Environmental, Phylogeny, Water Microbiology.
Abstract
Biodegradation of hydrocarbons by indigenous populations of microorganisms found in petroleum-contaminated water sources represents one of the primary mechanisms by which petroleum and other hydrocarbon pollutants are eliminated from the aquatic environment. The identification of these microorganisms, which have capabilities to convert the majority of toxic hydrocarbons into compounds that are less harmful for end-users, is therefore crucial for bioremediation purposes. The aim of this study was to profile the microbial diversity of two South African petroleum-contaminated water aquifer sites and to determine the microbial adaptation to hydrocarbon degradation using a metagenomics approach. The sequenced samples revealed that protozoa (62.04%) were found to be the most dominant group, followed by fungi (24.49%), unknown (12.87%), and finally other sequences such as Animalia and plantae which were <(0.10%) domains in the first oil-polluted aquifer site. In the second site, protozoa (61.90%), unknown (16.51%), fungi (11.41%) in that order. According to the classification at the genus level, the dominant group was Naegleria (15.21%), followed by Vorticella (6.67%) as the only ciliated protozoan genus, other species such as Arabidopsis (2.97%), Asarum (1.84%) Populus (1.04%) were significantly low and drastically lower in the first site. Regarding the second site, the dominant group was Naegleria (18.29%) followed by Colpoda (9.86%) with the remainder of the genera representing <2%. Overall results demonstrated the ability of various groups of microorganisms to adapt and survive in petroleum oil-polluted water sites regardless of their respective distributions and this can be explored further for their role in bioremediation and environmental management.
DOI: 10.1038/s41598-018-25961-0
PubMed: 29765091
PubMed Central: PMC5954097
Affiliations:
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other hydrocarbon pollutants are eliminated from the aquatic environment. The identification of these microorganisms, which have capabilities to convert the majority of toxic hydrocarbons into compounds that are less harmful for end-users, is therefore crucial for bioremediation purposes. The aim of this study was to profile the microbial diversity of two South African petroleum-contaminated water aquifer sites and to determine the microbial adaptation to hydrocarbon degradation using a metagenomics approach. The sequenced samples revealed that protozoa (62.04%) were found to be the most dominant group, followed by fungi (24.49%), unknown (12.87%), and finally other sequences such as Animalia and plantae which were <(0.10%) domains in the first oil-polluted aquifer site. In the second site, protozoa (61.90%), unknown (16.51%), fungi (11.41%) in that order. According to the classification at the genus level, the dominant group was Naegleria (15.21%), followed by Vorticella (6.67%) as the only ciliated protozoan genus, other species such as Arabidopsis (2.97%), Asarum (1.84%) Populus (1.04%) were significantly low and drastically lower in the first site. Regarding the second site, the dominant group was Naegleria (18.29%) followed by Colpoda (9.86%) with the remainder of the genera representing <2%. Overall results demonstrated the ability of various groups of microorganisms to adapt and survive in petroleum oil-polluted water sites regardless of their respective distributions and this can be explored further for their role in bioremediation and environmental management.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29765091</PMID><DateCompleted><Year>2019</Year><Month>10</Month><Day>11</Day></DateCompleted><DateRevised><Year>2019</Year><Month>10</Month><Day>11</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>1</Issue><PubDate><Year>2018</Year><Month>05</Month><Day>15</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Metagenomic profiling for assessing microbial diversity and microbial adaptation to degradation of hydrocarbons in two South African petroleum-contaminated water aquifers.</ArticleTitle><Pagination><MedlinePgn>7564</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-018-25961-0</ELocationID><Abstract><AbstractText>Biodegradation of hydrocarbons by indigenous populations of microorganisms found in petroleum-contaminated water sources represents one of the primary mechanisms by which petroleum and other hydrocarbon pollutants are eliminated from the aquatic environment. The identification of these microorganisms, which have capabilities to convert the majority of toxic hydrocarbons into compounds that are less harmful for end-users, is therefore crucial for bioremediation purposes. The aim of this study was to profile the microbial diversity of two South African petroleum-contaminated water aquifer sites and to determine the microbial adaptation to hydrocarbon degradation using a metagenomics approach. The sequenced samples revealed that protozoa (62.04%) were found to be the most dominant group, followed by fungi (24.49%), unknown (12.87%), and finally other sequences such as Animalia and plantae which were <(0.10%) domains in the first oil-polluted aquifer site. In the second site, protozoa (61.90%), unknown (16.51%), fungi (11.41%) in that order. According to the classification at the genus level, the dominant group was Naegleria (15.21%), followed by Vorticella (6.67%) as the only ciliated protozoan genus, other species such as Arabidopsis (2.97%), Asarum (1.84%) Populus (1.04%) were significantly low and drastically lower in the first site. Regarding the second site, the dominant group was Naegleria (18.29%) followed by Colpoda (9.86%) with the remainder of the genera representing <2%. Overall results demonstrated the ability of various groups of microorganisms to adapt and survive in petroleum oil-polluted water sites regardless of their respective distributions and this can be explored further for their role in bioremediation and environmental management.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kachienga</LastName><ForeName>Leonard</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Environmental, Water and Earth Sciences, Faculty of Science, Tshwane University of Technology, Arcadia Campus, P/Bag X680, Pretoria, 0001, South Africa.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jitendra</LastName><ForeName>Keshri</ForeName><Initials>K</Initials><Identifier Source="ORCID">0000-0002-8902-1582</Identifier><AffiliationInfo><Affiliation>Institute of Postharvest and Food Sciences, Agricultural Research Organization, Volcani Centre, 50250, Bet Dagan, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Momba</LastName><ForeName>Maggy</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Environmental, Water and Earth Sciences, Faculty of Science, Tshwane University of Technology, Arcadia Campus, P/Bag X680, Pretoria, 0001, South Africa. mombamnb@tut.ac.za.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>05</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance 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Microbiology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014877" MajorTopicYN="N">Water Pollution, Chemical</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>12</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>05</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>5</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>5</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>10</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId 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Kachienga</name></noRegion><name sortKey="Momba, Maggy" sort="Momba, Maggy" uniqKey="Momba M" first="Maggy" last="Momba">Maggy Momba</name></country><country name="Israël"><noRegion><name sortKey="Jitendra, Keshri" sort="Jitendra, Keshri" uniqKey="Jitendra K" first="Keshri" last="Jitendra">Keshri Jitendra</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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