Network discovery pipeline elucidates conserved time-of-day-specific cis-regulatory modules.
Identifieur interne : 003855 ( Main/Exploration ); précédent : 003854; suivant : 003856Network discovery pipeline elucidates conserved time-of-day-specific cis-regulatory modules.
Auteurs : Todd P. Michael [États-Unis] ; Todd C. Mockler ; Ghislain Breton ; Connor Mcentee ; Amanda Byer ; Jonathan D. Trout ; Samuel P. Hazen ; Rongkun Shen ; Henry D. Priest ; Christopher M. Sullivan ; Scott A. Givan ; Marcelo Yanovsky ; Fangxin Hong ; Steve A. Kay ; Joanne ChorySource :
- PLoS genetics [ 1553-7404 ] ; 2008.
Descripteurs français
- KwdFr :
- Analyse de profil d'expression de gènes (MeSH), Arabidopsis (génétique), Arabidopsis (physiologie), Bases de données génétiques (MeSH), Facteurs de transcription (génétique), Gènes de plante (MeSH), Gènes rapporteurs (MeSH), Génome végétal (MeSH), Luciferases (génétique), Modèles génétiques (MeSH), Oryza (génétique), Oryza (physiologie), Photopériode (MeSH), Populus (génétique), Populus (physiologie), Protéines d'Arabidopsis (biosynthèse), Protéines d'Arabidopsis (génétique), Protéines de liaison à l'ADN (génétique), Rythme circadien (génétique), Rythme circadien (physiologie), Régulation de l'expression des gènes végétaux (MeSH), Spécificité d'espèce (MeSH), Séquençage par oligonucléotides en batterie (MeSH), Température (MeSH), Végétaux génétiquement modifiés (MeSH).
- MESH :
- biosynthèse : Protéines d'Arabidopsis.
- génétique : Arabidopsis, Facteurs de transcription, Luciferases, Oryza, Populus, Protéines d'Arabidopsis, Protéines de liaison à l'ADN, Rythme circadien.
- physiologie : Arabidopsis, Oryza, Populus, Rythme circadien.
- Analyse de profil d'expression de gènes, Bases de données génétiques, Gènes de plante, Gènes rapporteurs, Génome végétal, Modèles génétiques, Photopériode, Régulation de l'expression des gènes végétaux, Spécificité d'espèce, Séquençage par oligonucléotides en batterie, Température, Végétaux génétiquement modifiés.
English descriptors
- KwdEn :
- Arabidopsis (genetics), Arabidopsis (physiology), Arabidopsis Proteins (biosynthesis), Arabidopsis Proteins (genetics), Circadian Rhythm (genetics), Circadian Rhythm (physiology), DNA-Binding Proteins (genetics), Databases, Genetic (MeSH), Gene Expression Profiling (MeSH), Gene Expression Regulation, Plant (MeSH), Genes, Plant (MeSH), Genes, Reporter (MeSH), Genome, Plant (MeSH), Luciferases (genetics), Models, Genetic (MeSH), Oligonucleotide Array Sequence Analysis (MeSH), Oryza (genetics), Oryza (physiology), Photoperiod (MeSH), Plants, Genetically Modified (MeSH), Populus (genetics), Populus (physiology), Species Specificity (MeSH), Temperature (MeSH), Transcription Factors (genetics).
- MESH :
- chemical , biosynthesis : Arabidopsis Proteins.
- genetics : Arabidopsis, Arabidopsis Proteins, Circadian Rhythm, DNA-Binding Proteins, Luciferases, Oryza, Populus, Transcription Factors.
- physiology : Arabidopsis, Circadian Rhythm, Oryza, Populus.
- Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, Plant, Genes, Plant, Genes, Reporter, Genome, Plant, Models, Genetic, Oligonucleotide Array Sequence Analysis, Photoperiod, Plants, Genetically Modified, Species Specificity, Temperature.
Abstract
Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least half of all transcripts critical for synchronizing internal processes such as cell cycle and protein synthesis. We identified at least three distinct transcription modules controlling phase-specific expression, including a new midnight specific module, PBX/TBX/SBX. We validated the network discovery pipeline, as well as the midnight specific module, by demonstrating that the PBX element was sufficient to drive diurnal and circadian condition-dependent expression. Moreover, we show that the three transcription modules are conserved across Arabidopsis, poplar, and rice. These results confirm the complex interplay between thermocycles, photocycles, and the circadian clock on the daily transcription program, and provide a comprehensive view of the conserved genomic targets for a transcriptional network key to successful adaptation.
DOI: 10.1371/journal.pgen.0040014
PubMed: 18248097
PubMed Central: PMC2222925
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Michael</name><affiliation wicri:level="2"><nlm:affiliation>Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Mockler, Todd C" sort="Mockler, Todd C" uniqKey="Mockler T" first="Todd C" last="Mockler">Todd C. Mockler</name></author><author><name sortKey="Breton, Ghislain" sort="Breton, Ghislain" uniqKey="Breton G" first="Ghislain" last="Breton">Ghislain Breton</name></author><author><name sortKey="Mcentee, Connor" sort="Mcentee, Connor" uniqKey="Mcentee C" first="Connor" last="Mcentee">Connor Mcentee</name></author><author><name sortKey="Byer, Amanda" sort="Byer, Amanda" uniqKey="Byer A" first="Amanda" last="Byer">Amanda Byer</name></author><author><name sortKey="Trout, Jonathan D" sort="Trout, Jonathan D" uniqKey="Trout J" first="Jonathan D" last="Trout">Jonathan D. Trout</name></author><author><name sortKey="Hazen, Samuel P" sort="Hazen, Samuel P" uniqKey="Hazen S" first="Samuel P" last="Hazen">Samuel P. Hazen</name></author><author><name sortKey="Shen, Rongkun" sort="Shen, Rongkun" uniqKey="Shen R" first="Rongkun" last="Shen">Rongkun Shen</name></author><author><name sortKey="Priest, Henry D" sort="Priest, Henry D" uniqKey="Priest H" first="Henry D" last="Priest">Henry D. Priest</name></author><author><name sortKey="Sullivan, Christopher M" sort="Sullivan, Christopher M" uniqKey="Sullivan C" first="Christopher M" last="Sullivan">Christopher M. Sullivan</name></author><author><name sortKey="Givan, Scott A" sort="Givan, Scott A" uniqKey="Givan S" first="Scott A" last="Givan">Scott A. Givan</name></author><author><name sortKey="Yanovsky, Marcelo" sort="Yanovsky, Marcelo" uniqKey="Yanovsky M" first="Marcelo" last="Yanovsky">Marcelo Yanovsky</name></author><author><name sortKey="Hong, Fangxin" sort="Hong, Fangxin" uniqKey="Hong F" first="Fangxin" last="Hong">Fangxin Hong</name></author><author><name sortKey="Kay, Steve A" sort="Kay, Steve A" uniqKey="Kay S" first="Steve A" last="Kay">Steve A. Kay</name></author><author><name sortKey="Chory, Joanne" sort="Chory, Joanne" uniqKey="Chory J" first="Joanne" last="Chory">Joanne Chory</name></author></analytic><series><title level="j">PLoS genetics</title><idno type="eISSN">1553-7404</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Arabidopsis (genetics)</term><term>Arabidopsis (physiology)</term><term>Arabidopsis Proteins (biosynthesis)</term><term>Arabidopsis Proteins (genetics)</term><term>Circadian Rhythm (genetics)</term><term>Circadian Rhythm (physiology)</term><term>DNA-Binding Proteins (genetics)</term><term>Databases, Genetic (MeSH)</term><term>Gene Expression Profiling (MeSH)</term><term>Gene Expression Regulation, Plant (MeSH)</term><term>Genes, Plant (MeSH)</term><term>Genes, Reporter (MeSH)</term><term>Genome, Plant (MeSH)</term><term>Luciferases (genetics)</term><term>Models, Genetic (MeSH)</term><term>Oligonucleotide Array Sequence Analysis (MeSH)</term><term>Oryza (genetics)</term><term>Oryza (physiology)</term><term>Photoperiod (MeSH)</term><term>Plants, Genetically Modified (MeSH)</term><term>Populus (genetics)</term><term>Populus (physiology)</term><term>Species Specificity (MeSH)</term><term>Temperature (MeSH)</term><term>Transcription Factors (genetics)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de profil d'expression de gènes (MeSH)</term><term>Arabidopsis (génétique)</term><term>Arabidopsis (physiologie)</term><term>Bases de données génétiques (MeSH)</term><term>Facteurs de transcription (génétique)</term><term>Gènes de plante (MeSH)</term><term>Gènes rapporteurs (MeSH)</term><term>Génome végétal (MeSH)</term><term>Luciferases (génétique)</term><term>Modèles génétiques (MeSH)</term><term>Oryza (génétique)</term><term>Oryza (physiologie)</term><term>Photopériode (MeSH)</term><term>Populus (génétique)</term><term>Populus (physiologie)</term><term>Protéines d'Arabidopsis (biosynthèse)</term><term>Protéines d'Arabidopsis (génétique)</term><term>Protéines de liaison à l'ADN (génétique)</term><term>Rythme circadien (génétique)</term><term>Rythme circadien (physiologie)</term><term>Régulation de l'expression des gènes végétaux (MeSH)</term><term>Spécificité d'espèce (MeSH)</term><term>Séquençage par oligonucléotides en batterie (MeSH)</term><term>Température (MeSH)</term><term>Végétaux génétiquement modifiés (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="biosynthesis" xml:lang="en"><term>Arabidopsis Proteins</term></keywords><keywords scheme="MESH" qualifier="biosynthèse" xml:lang="fr"><term>Protéines d'Arabidopsis</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Arabidopsis</term><term>Arabidopsis Proteins</term><term>Circadian Rhythm</term><term>DNA-Binding Proteins</term><term>Luciferases</term><term>Oryza</term><term>Populus</term><term>Transcription Factors</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Arabidopsis</term><term>Facteurs de transcription</term><term>Luciferases</term><term>Oryza</term><term>Populus</term><term>Protéines d'Arabidopsis</term><term>Protéines de liaison à l'ADN</term><term>Rythme circadien</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Arabidopsis</term><term>Oryza</term><term>Populus</term><term>Rythme circadien</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Arabidopsis</term><term>Circadian Rhythm</term><term>Oryza</term><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Databases, Genetic</term><term>Gene Expression Profiling</term><term>Gene Expression Regulation, Plant</term><term>Genes, Plant</term><term>Genes, Reporter</term><term>Genome, Plant</term><term>Models, Genetic</term><term>Oligonucleotide Array Sequence Analysis</term><term>Photoperiod</term><term>Plants, Genetically Modified</term><term>Species Specificity</term><term>Temperature</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term><term>Bases de données génétiques</term><term>Gènes de plante</term><term>Gènes rapporteurs</term><term>Génome végétal</term><term>Modèles génétiques</term><term>Photopériode</term><term>Régulation de l'expression des gènes végétaux</term><term>Spécificité d'espèce</term><term>Séquençage par oligonucléotides en batterie</term><term>Température</term><term>Végétaux génétiquement modifiés</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least half of all transcripts critical for synchronizing internal processes such as cell cycle and protein synthesis. We identified at least three distinct transcription modules controlling phase-specific expression, including a new midnight specific module, PBX/TBX/SBX. We validated the network discovery pipeline, as well as the midnight specific module, by demonstrating that the PBX element was sufficient to drive diurnal and circadian condition-dependent expression. Moreover, we show that the three transcription modules are conserved across Arabidopsis, poplar, and rice. These results confirm the complex interplay between thermocycles, photocycles, and the circadian clock on the daily transcription program, and provide a comprehensive view of the conserved genomic targets for a transcriptional network key to successful adaptation.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">18248097</PMID><DateCompleted><Year>2008</Year><Month>06</Month><Day>04</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1553-7404</ISSN><JournalIssue CitedMedium="Internet"><Volume>4</Volume><Issue>2</Issue><PubDate><Year>2008</Year><Month>Feb</Month></PubDate></JournalIssue><Title>PLoS genetics</Title><ISOAbbreviation>PLoS Genet</ISOAbbreviation></Journal><ArticleTitle>Network discovery pipeline elucidates conserved time-of-day-specific cis-regulatory modules.</ArticleTitle><Pagination><MedlinePgn>e14</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pgen.0040014</ELocationID><Abstract><AbstractText>Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least half of all transcripts critical for synchronizing internal processes such as cell cycle and protein synthesis. We identified at least three distinct transcription modules controlling phase-specific expression, including a new midnight specific module, PBX/TBX/SBX. We validated the network discovery pipeline, as well as the midnight specific module, by demonstrating that the PBX element was sufficient to drive diurnal and circadian condition-dependent expression. Moreover, we show that the three transcription modules are conserved across Arabidopsis, poplar, and rice. These results confirm the complex interplay between thermocycles, photocycles, and the circadian clock on the daily transcription program, and provide a comprehensive view of the conserved genomic targets for a transcriptional network key to successful adaptation.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Michael</LastName><ForeName>Todd P</ForeName><Initials>TP</Initials><AffiliationInfo><Affiliation>Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mockler</LastName><ForeName>Todd C</ForeName><Initials>TC</Initials></Author><Author ValidYN="Y"><LastName>Breton</LastName><ForeName>Ghislain</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>McEntee</LastName><ForeName>Connor</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Byer</LastName><ForeName>Amanda</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Trout</LastName><ForeName>Jonathan D</ForeName><Initials>JD</Initials></Author><Author ValidYN="Y"><LastName>Hazen</LastName><ForeName>Samuel P</ForeName><Initials>SP</Initials></Author><Author ValidYN="Y"><LastName>Shen</LastName><ForeName>Rongkun</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Priest</LastName><ForeName>Henry D</ForeName><Initials>HD</Initials></Author><Author ValidYN="Y"><LastName>Sullivan</LastName><ForeName>Christopher M</ForeName><Initials>CM</Initials></Author><Author ValidYN="Y"><LastName>Givan</LastName><ForeName>Scott A</ForeName><Initials>SA</Initials></Author><Author ValidYN="Y"><LastName>Yanovsky</LastName><ForeName>Marcelo</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Hong</LastName><ForeName>Fangxin</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Kay</LastName><ForeName>Steve A</ForeName><Initials>SA</Initials></Author><Author ValidYN="Y"><LastName>Chory</LastName><ForeName>Joanne</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 GM067837</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 GM052413</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>GM62932</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 GM056006</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 GM062932</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>GM56006</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>GM67837</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>GM52413</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant><Grant><Agency>Howard Hughes Medical Institute</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS Genet</MedlineTA><NlmUniqueID>101239074</NlmUniqueID><ISSNLinking>1553-7390</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D029681">Arabidopsis Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004268">DNA-Binding Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C113192">LHY protein, Arabidopsis</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C411822">TOC1 protein, Arabidopsis</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014157">Transcription Factors</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 1.13.12.-</RegistryNumber><NameOfSubstance UI="D008156">Luciferases</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017360" 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Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018506" MajorTopicYN="N">Gene Expression Regulation, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017930" MajorTopicYN="N">Genes, Reporter</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018745" MajorTopicYN="N">Genome, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008156" MajorTopicYN="N">Luciferases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008957" MajorTopicYN="N">Models, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020411" MajorTopicYN="N">Oligonucleotide Array Sequence Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012275" MajorTopicYN="N">Oryza</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017440" MajorTopicYN="N">Photoperiod</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D030821" MajorTopicYN="N">Plants, Genetically Modified</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013045" MajorTopicYN="N">Species Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014157" MajorTopicYN="N">Transcription Factors</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading></MeshHeadingList><CoiStatement>Competing interests. 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Givan</name><name sortKey="Hazen, Samuel P" sort="Hazen, Samuel P" uniqKey="Hazen S" first="Samuel P" last="Hazen">Samuel P. Hazen</name><name sortKey="Hong, Fangxin" sort="Hong, Fangxin" uniqKey="Hong F" first="Fangxin" last="Hong">Fangxin Hong</name><name sortKey="Kay, Steve A" sort="Kay, Steve A" uniqKey="Kay S" first="Steve A" last="Kay">Steve A. Kay</name><name sortKey="Mcentee, Connor" sort="Mcentee, Connor" uniqKey="Mcentee C" first="Connor" last="Mcentee">Connor Mcentee</name><name sortKey="Mockler, Todd C" sort="Mockler, Todd C" uniqKey="Mockler T" first="Todd C" last="Mockler">Todd C. Mockler</name><name sortKey="Priest, Henry D" sort="Priest, Henry D" uniqKey="Priest H" first="Henry D" last="Priest">Henry D. Priest</name><name sortKey="Shen, Rongkun" sort="Shen, Rongkun" uniqKey="Shen R" first="Rongkun" last="Shen">Rongkun Shen</name><name sortKey="Sullivan, Christopher M" sort="Sullivan, Christopher M" uniqKey="Sullivan C" first="Christopher M" last="Sullivan">Christopher M. Sullivan</name><name sortKey="Trout, Jonathan D" sort="Trout, Jonathan D" uniqKey="Trout J" first="Jonathan D" last="Trout">Jonathan D. Trout</name><name sortKey="Yanovsky, Marcelo" sort="Yanovsky, Marcelo" uniqKey="Yanovsky M" first="Marcelo" last="Yanovsky">Marcelo Yanovsky</name></noCountry><country name="États-Unis"><region name="Californie"><name sortKey="Michael, Todd P" sort="Michael, Todd P" uniqKey="Michael T" first="Todd P" last="Michael">Todd P. Michael</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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