The ecology and evolution of microbial metabolic strategies.
Identifieur interne : 000004 ( Main/Exploration ); précédent : 000003; suivant : 000005The ecology and evolution of microbial metabolic strategies.
Auteurs : Djordje Bajic [États-Unis] ; Alvaro Sanchez [États-Unis]Source :
- Current opinion in biotechnology [ 1879-0429 ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
Abstract
Free-living microbes are generally capable of growing on multiple different nutrients. Some of those nutrients are used simultaneously, while others are used sequentially. The pattern of nutrient preferences and co-utilization defines the metabolic strategy of a microorganism. Metabolic strategies can substantially affect ecological interactions between species, but their evolution and distribution across the tree of life remain poorly characterized. We discuss how the confluence of better computational models of genotype-phenotype maps and high-throughput experimental tools can help us fill gaps in our knowledge and incorporate metabolic strategies into quantitative predictive models of microbial consortia.
DOI: 10.1016/j.copbio.2019.09.003
PubMed: 31670179
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">The ecology and evolution of microbial metabolic strategies.</title><author><name sortKey="Bajic, Djordje" sort="Bajic, Djordje" uniqKey="Bajic D" first="Djordje" last="Bajic">Djordje Bajic</name><affiliation wicri:level="2"><nlm:affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Sanchez, Alvaro" sort="Sanchez, Alvaro" uniqKey="Sanchez A" first="Alvaro" last="Sanchez">Alvaro Sanchez</name><affiliation wicri:level="2"><nlm:affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States. Electronic address: alvaro.sanchez@yale.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:31670179</idno><idno type="pmid">31670179</idno><idno type="doi">10.1016/j.copbio.2019.09.003</idno><idno type="wicri:Area/Main/Corpus">000054</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000054</idno><idno type="wicri:Area/Main/Curation">000054</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000054</idno><idno type="wicri:Area/Main/Exploration">000054</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The ecology and evolution of microbial metabolic strategies.</title><author><name sortKey="Bajic, Djordje" sort="Bajic, Djordje" uniqKey="Bajic D" first="Djordje" last="Bajic">Djordje Bajic</name><affiliation wicri:level="2"><nlm:affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Sanchez, Alvaro" sort="Sanchez, Alvaro" uniqKey="Sanchez A" first="Alvaro" last="Sanchez">Alvaro Sanchez</name><affiliation wicri:level="2"><nlm:affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States. Electronic address: alvaro.sanchez@yale.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author></analytic><series><title level="j">Current opinion in biotechnology</title><idno type="eISSN">1879-0429</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ecology (MeSH)</term><term>Microbial Consortia (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Consortiums microbiens (MeSH)</term><term>Écologie (MeSH)</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Ecology</term><term>Microbial Consortia</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Consortiums microbiens</term><term>Écologie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Free-living microbes are generally capable of growing on multiple different nutrients. Some of those nutrients are used simultaneously, while others are used sequentially. The pattern of nutrient preferences and co-utilization defines the metabolic strategy of a microorganism. Metabolic strategies can substantially affect ecological interactions between species, but their evolution and distribution across the tree of life remain poorly characterized. We discuss how the confluence of better computational models of genotype-phenotype maps and high-throughput experimental tools can help us fill gaps in our knowledge and incorporate metabolic strategies into quantitative predictive models of microbial consortia.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">31670179</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>23</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-0429</ISSN><JournalIssue CitedMedium="Internet"><Volume>62</Volume><PubDate><Year>2020</Year><Month>04</Month></PubDate></JournalIssue><Title>Current opinion in biotechnology</Title><ISOAbbreviation>Curr Opin Biotechnol</ISOAbbreviation></Journal><ArticleTitle>The ecology and evolution of microbial metabolic strategies.</ArticleTitle><Pagination><MedlinePgn>123-128</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0958-1669(19)30072-2</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.copbio.2019.09.003</ELocationID><Abstract><AbstractText>Free-living microbes are generally capable of growing on multiple different nutrients. Some of those nutrients are used simultaneously, while others are used sequentially. The pattern of nutrient preferences and co-utilization defines the metabolic strategy of a microorganism. Metabolic strategies can substantially affect ecological interactions between species, but their evolution and distribution across the tree of life remain poorly characterized. We discuss how the confluence of better computational models of genotype-phenotype maps and high-throughput experimental tools can help us fill gaps in our knowledge and incorporate metabolic strategies into quantitative predictive models of microbial consortia.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bajic</LastName><ForeName>Djordje</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sanchez</LastName><ForeName>Alvaro</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States. Electronic address: alvaro.sanchez@yale.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>10</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Curr Opin Biotechnol</MedlineTA><NlmUniqueID>9100492</NlmUniqueID><ISSNLinking>0958-1669</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="Y">Ecology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059013" MajorTopicYN="Y">Microbial Consortia</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>06</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>08</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>09</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>11</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>11</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31670179</ArticleId><ArticleId IdType="pii">S0958-1669(19)30072-2</ArticleId><ArticleId IdType="doi">10.1016/j.copbio.2019.09.003</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Connecticut</li></region></list><tree><country name="États-Unis"><region name="Connecticut"><name sortKey="Bajic, Djordje" sort="Bajic, Djordje" uniqKey="Bajic D" first="Djordje" last="Bajic">Djordje Bajic</name></region><name sortKey="Sanchez, Alvaro" sort="Sanchez, Alvaro" uniqKey="Sanchez A" first="Alvaro" last="Sanchez">Alvaro Sanchez</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/TreeMicInterV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000004 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000004 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= TreeMicInterV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:31670179
|texte= The ecology and evolution of microbial metabolic strategies.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:31670179" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a TreeMicInterV1
| This area was generated with Dilib version V0.6.37. |  |