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Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism
Plants respond to seasonal cues such as the photoperiod, to adapt to current conditions and to prepare for environmental changes in the season to come. To assess photoperiodic responses at the protein level, we quantified the proteome of the model plant Arabidopsis thaliana by mass spectrometry acro...
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Published in: | Molecular systems biology 2018-03, Vol.14 (3), p.e7962-n/a |
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description | Plants respond to seasonal cues such as the photoperiod, to adapt to current conditions and to prepare for environmental changes in the season to come. To assess photoperiodic responses at the protein level, we quantified the proteome of the model plant
Arabidopsis thaliana
by mass spectrometry across four photoperiods. This revealed coordinated changes of abundance in proteins of photosynthesis, primary and secondary metabolism, including pigment biosynthesis, consistent with higher metabolic activity in long photoperiods. Higher translation rates in the day than the night likely contribute to these changes, via an interaction with rhythmic changes in RNA abundance. Photoperiodic control of protein levels might be greatest only if high translation rates coincide with high transcript levels in some photoperiods. We term this proposed mechanism “translational coincidence”, mathematically model its components, and demonstrate its effect on the
Arabidopsis
proteome. Datasets from a green alga and a cyanobacterium suggest that translational coincidence contributes to seasonal control of the proteome in many phototrophic organisms. This may explain why many transcripts but not their cognate proteins exhibit diurnal rhythms.
Synopsis
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple ‘translational coincidence’ mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.
Day length altered the abundance of 1,781 proteins, out of 4,344 proteins quantified from leaves of
Arabidopsis thaliana
, in a pattern consistent with higher metabolic activity in long days.
Proteins with clock‐regulated, evening‐peaking RNAs tended to increase in abundance under longer daylengths, whereas proteins with morning‐peaking RNAs did not.
A simple, “translational coincidence” model predicted the experimental results, because high, light‐induced translation rates will coincide with high levels of an evening‐expressed RNA only under long days, not short days.
Many clock‐controlled genes might gain seasonal control of protein levels via translational coincidence, which we speculate is widespread based upon data from a marine alga and a freshwater cyanobacterium.
Graphical Abstract
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple “translational coincidence” mechanism can explain photoperiod‐dependent regulation of protein levels based on cl |
doi_str_mv | 10.15252/msb.20177962 |
format | article |
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Arabidopsis thaliana
by mass spectrometry across four photoperiods. This revealed coordinated changes of abundance in proteins of photosynthesis, primary and secondary metabolism, including pigment biosynthesis, consistent with higher metabolic activity in long photoperiods. Higher translation rates in the day than the night likely contribute to these changes, via an interaction with rhythmic changes in RNA abundance. Photoperiodic control of protein levels might be greatest only if high translation rates coincide with high transcript levels in some photoperiods. We term this proposed mechanism “translational coincidence”, mathematically model its components, and demonstrate its effect on the
Arabidopsis
proteome. Datasets from a green alga and a cyanobacterium suggest that translational coincidence contributes to seasonal control of the proteome in many phototrophic organisms. This may explain why many transcripts but not their cognate proteins exhibit diurnal rhythms.
Synopsis
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple ‘translational coincidence’ mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.
Day length altered the abundance of 1,781 proteins, out of 4,344 proteins quantified from leaves of
Arabidopsis thaliana
, in a pattern consistent with higher metabolic activity in long days.
Proteins with clock‐regulated, evening‐peaking RNAs tended to increase in abundance under longer daylengths, whereas proteins with morning‐peaking RNAs did not.
A simple, “translational coincidence” model predicted the experimental results, because high, light‐induced translation rates will coincide with high levels of an evening‐expressed RNA only under long days, not short days.
Many clock‐controlled genes might gain seasonal control of protein levels via translational coincidence, which we speculate is widespread based upon data from a marine alga and a freshwater cyanobacterium.
Graphical Abstract
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple “translational coincidence” mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.</description><identifier>ISSN: 1744-4292</identifier><identifier>EISSN: 1744-4292</identifier><identifier>DOI: 10.15252/msb.20177962</identifier><identifier>PMID: 29496885</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Abundance ; Algae ; Arabidopsis ; Arabidopsis - genetics ; Arabidopsis - metabolism ; Arabidopsis Proteins - genetics ; Arabidopsis Proteins - metabolism ; Arabidopsis thaliana ; Biosynthesis ; Circadian Rhythm ; circadian rhythms ; Diurnal ; EMBO30 ; EMBO31 ; EMBO33 ; Environmental changes ; Evening ; Gene Expression Regulation, Plant ; Gene Regulatory Networks ; Leaves ; Mass Spectrometry ; Mass spectroscopy ; Metabolism ; Models, Theoretical ; Photoperiod ; Photoperiods ; Photosynthesis ; Protein Biosynthesis ; Proteins ; Proteomes ; Proteomics ; Rhythms ; Ribonucleic acid ; RNA ; seasonality ; Transcription ; Translation</subject><ispartof>Molecular systems biology, 2018-03, Vol.14 (3), p.e7962-n/a</ispartof><rights>The Author(s) 2018</rights><rights>2018 The Authors. Published under the terms of the CC BY 4.0 license</rights><rights>2018 The Authors. Published under the terms of the CC BY 4.0 license.</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5652-dbbe80189faf86723e14f26d9d258666be7571d5dad3bab450413cc85fd54313</citedby><cites>FETCH-LOGICAL-c5652-dbbe80189faf86723e14f26d9d258666be7571d5dad3bab450413cc85fd54313</cites><orcidid>0000-0002-5222-3893 ; 0000-0003-1756-3654 ; 0000-0002-6696-5206 ; 0000-0002-4900-1763 ; 0000-0002-1872-2998 ; 0000-0002-1904-9440</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830654/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2020835752?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11562,25753,27924,27925,37012,37013,44590,46052,46476,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29496885$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seaton, Daniel D</creatorcontrib><creatorcontrib>Graf, Alexander</creatorcontrib><creatorcontrib>Baerenfaller, Katja</creatorcontrib><creatorcontrib>Stitt, Mark</creatorcontrib><creatorcontrib>Millar, Andrew J</creatorcontrib><creatorcontrib>Gruissem, Wilhelm</creatorcontrib><title>Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism</title><title>Molecular systems biology</title><addtitle>Mol Syst Biol</addtitle><addtitle>Mol Syst Biol</addtitle><description>Plants respond to seasonal cues such as the photoperiod, to adapt to current conditions and to prepare for environmental changes in the season to come. To assess photoperiodic responses at the protein level, we quantified the proteome of the model plant
Arabidopsis thaliana
by mass spectrometry across four photoperiods. This revealed coordinated changes of abundance in proteins of photosynthesis, primary and secondary metabolism, including pigment biosynthesis, consistent with higher metabolic activity in long photoperiods. Higher translation rates in the day than the night likely contribute to these changes, via an interaction with rhythmic changes in RNA abundance. Photoperiodic control of protein levels might be greatest only if high translation rates coincide with high transcript levels in some photoperiods. We term this proposed mechanism “translational coincidence”, mathematically model its components, and demonstrate its effect on the
Arabidopsis
proteome. Datasets from a green alga and a cyanobacterium suggest that translational coincidence contributes to seasonal control of the proteome in many phototrophic organisms. This may explain why many transcripts but not their cognate proteins exhibit diurnal rhythms.
Synopsis
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple ‘translational coincidence’ mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.
Day length altered the abundance of 1,781 proteins, out of 4,344 proteins quantified from leaves of
Arabidopsis thaliana
, in a pattern consistent with higher metabolic activity in long days.
Proteins with clock‐regulated, evening‐peaking RNAs tended to increase in abundance under longer daylengths, whereas proteins with morning‐peaking RNAs did not.
A simple, “translational coincidence” model predicted the experimental results, because high, light‐induced translation rates will coincide with high levels of an evening‐expressed RNA only under long days, not short days.
Many clock‐controlled genes might gain seasonal control of protein levels via translational coincidence, which we speculate is widespread based upon data from a marine alga and a freshwater cyanobacterium.
Graphical Abstract
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple “translational coincidence” mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.</description><subject>Abundance</subject><subject>Algae</subject><subject>Arabidopsis</subject><subject>Arabidopsis - genetics</subject><subject>Arabidopsis - metabolism</subject><subject>Arabidopsis Proteins - genetics</subject><subject>Arabidopsis Proteins - metabolism</subject><subject>Arabidopsis thaliana</subject><subject>Biosynthesis</subject><subject>Circadian Rhythm</subject><subject>circadian rhythms</subject><subject>Diurnal</subject><subject>EMBO30</subject><subject>EMBO31</subject><subject>EMBO33</subject><subject>Environmental changes</subject><subject>Evening</subject><subject>Gene Expression Regulation, Plant</subject><subject>Gene Regulatory Networks</subject><subject>Leaves</subject><subject>Mass Spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolism</subject><subject>Models, Theoretical</subject><subject>Photoperiod</subject><subject>Photoperiods</subject><subject>Photosynthesis</subject><subject>Protein Biosynthesis</subject><subject>Proteins</subject><subject>Proteomes</subject><subject>Proteomics</subject><subject>Rhythms</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>seasonality</subject><subject>Transcription</subject><subject>Translation</subject><issn>1744-4292</issn><issn>1744-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kkFv1DAQRiMEomXhyBVF4sIli-3YjnNBKhW0lYpAondrbE92vUriYGeL-u8xTbu0CHGyZb95-uyZonhNyZoKJtj7IZk1I7RpWsmeFMe04bzirGVPH-yPihcp7QipFVXseXHEWt5KpcRxob9twxwmjD44b0sbxjmGvgxdOW-xPIlgvAtT8qmcYpgxDFhGvEboUwnlHGFMPcw-jNDnWj9a73C0WA5otzD6NLwsnnUZxld366q4-vzp6vS8uvx6dnF6cllZIQWrnDGoCFVtB52SDauR8o5J1zomlJTSYCMa6oQDVxswXBBOa2uV6JzgNa1XxcWidQF2eop-gHijA3h9exDiRkOcve1Rt9xC4wSChJZLRtuWGQVEAHbGqrrLrg-La9qbAZ3F_CXQP5I-vhn9Vm_CtRaqJjLHWRXv7gQx_NhjmvXgk8W-hxHDPuncLVLL3C6R0bd_obuwj_k3f1OMqFo0gmWqWigbQ0oRu0MYSvTtFOg8Bfp-CjL_5uELDvR92zPAF-Cn7_Hm_zb95fvHg3e9lKVcMW4w_kn77yC_AMMRzmk</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Seaton, Daniel D</creator><creator>Graf, Alexander</creator><creator>Baerenfaller, Katja</creator><creator>Stitt, Mark</creator><creator>Millar, Andrew J</creator><creator>Gruissem, Wilhelm</creator><general>Nature Publishing Group UK</general><general>EMBO Press</general><general>John Wiley and Sons Inc</general><general>Springer Nature</general><scope>C6C</scope><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7TM</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PADUT</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5222-3893</orcidid><orcidid>https://orcid.org/0000-0003-1756-3654</orcidid><orcidid>https://orcid.org/0000-0002-6696-5206</orcidid><orcidid>https://orcid.org/0000-0002-4900-1763</orcidid><orcidid>https://orcid.org/0000-0002-1872-2998</orcidid><orcidid>https://orcid.org/0000-0002-1904-9440</orcidid></search><sort><creationdate>20180301</creationdate><title>Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism</title><author>Seaton, Daniel D ; Graf, Alexander ; Baerenfaller, Katja ; Stitt, Mark ; Millar, Andrew J ; Gruissem, Wilhelm</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5652-dbbe80189faf86723e14f26d9d258666be7571d5dad3bab450413cc85fd54313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abundance</topic><topic>Algae</topic><topic>Arabidopsis</topic><topic>Arabidopsis - genetics</topic><topic>Arabidopsis - metabolism</topic><topic>Arabidopsis Proteins - genetics</topic><topic>Arabidopsis Proteins - metabolism</topic><topic>Arabidopsis thaliana</topic><topic>Biosynthesis</topic><topic>Circadian Rhythm</topic><topic>circadian rhythms</topic><topic>Diurnal</topic><topic>EMBO30</topic><topic>EMBO31</topic><topic>EMBO33</topic><topic>Environmental changes</topic><topic>Evening</topic><topic>Gene Expression Regulation, Plant</topic><topic>Gene Regulatory Networks</topic><topic>Leaves</topic><topic>Mass Spectrometry</topic><topic>Mass spectroscopy</topic><topic>Metabolism</topic><topic>Models, Theoretical</topic><topic>Photoperiod</topic><topic>Photoperiods</topic><topic>Photosynthesis</topic><topic>Protein Biosynthesis</topic><topic>Proteins</topic><topic>Proteomes</topic><topic>Proteomics</topic><topic>Rhythms</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>seasonality</topic><topic>Transcription</topic><topic>Translation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seaton, Daniel D</creatorcontrib><creatorcontrib>Graf, Alexander</creatorcontrib><creatorcontrib>Baerenfaller, Katja</creatorcontrib><creatorcontrib>Stitt, Mark</creatorcontrib><creatorcontrib>Millar, Andrew J</creatorcontrib><creatorcontrib>Gruissem, Wilhelm</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Research Library China</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Molecular systems biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seaton, Daniel D</au><au>Graf, Alexander</au><au>Baerenfaller, Katja</au><au>Stitt, Mark</au><au>Millar, Andrew J</au><au>Gruissem, Wilhelm</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism</atitle><jtitle>Molecular systems biology</jtitle><stitle>Mol Syst Biol</stitle><addtitle>Mol Syst Biol</addtitle><date>2018-03-01</date><risdate>2018</risdate><volume>14</volume><issue>3</issue><spage>e7962</spage><epage>n/a</epage><pages>e7962-n/a</pages><issn>1744-4292</issn><eissn>1744-4292</eissn><abstract>Plants respond to seasonal cues such as the photoperiod, to adapt to current conditions and to prepare for environmental changes in the season to come. To assess photoperiodic responses at the protein level, we quantified the proteome of the model plant
Arabidopsis thaliana
by mass spectrometry across four photoperiods. This revealed coordinated changes of abundance in proteins of photosynthesis, primary and secondary metabolism, including pigment biosynthesis, consistent with higher metabolic activity in long photoperiods. Higher translation rates in the day than the night likely contribute to these changes, via an interaction with rhythmic changes in RNA abundance. Photoperiodic control of protein levels might be greatest only if high translation rates coincide with high transcript levels in some photoperiods. We term this proposed mechanism “translational coincidence”, mathematically model its components, and demonstrate its effect on the
Arabidopsis
proteome. Datasets from a green alga and a cyanobacterium suggest that translational coincidence contributes to seasonal control of the proteome in many phototrophic organisms. This may explain why many transcripts but not their cognate proteins exhibit diurnal rhythms.
Synopsis
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple ‘translational coincidence’ mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.
Day length altered the abundance of 1,781 proteins, out of 4,344 proteins quantified from leaves of
Arabidopsis thaliana
, in a pattern consistent with higher metabolic activity in long days.
Proteins with clock‐regulated, evening‐peaking RNAs tended to increase in abundance under longer daylengths, whereas proteins with morning‐peaking RNAs did not.
A simple, “translational coincidence” model predicted the experimental results, because high, light‐induced translation rates will coincide with high levels of an evening‐expressed RNA only under long days, not short days.
Many clock‐controlled genes might gain seasonal control of protein levels via translational coincidence, which we speculate is widespread based upon data from a marine alga and a freshwater cyanobacterium.
Graphical Abstract
The
Arabidopsis
proteome changes in a coordinated fashion across four photoperiods. A simple “translational coincidence” mechanism can explain photoperiod‐dependent regulation of protein levels based on clock‐dependent, daily mRNA level changes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29496885</pmid><doi>10.15252/msb.20177962</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-5222-3893</orcidid><orcidid>https://orcid.org/0000-0003-1756-3654</orcidid><orcidid>https://orcid.org/0000-0002-6696-5206</orcidid><orcidid>https://orcid.org/0000-0002-4900-1763</orcidid><orcidid>https://orcid.org/0000-0002-1872-2998</orcidid><orcidid>https://orcid.org/0000-0002-1904-9440</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abundance Algae Arabidopsis Arabidopsis - genetics Arabidopsis - metabolism Arabidopsis Proteins - genetics Arabidopsis Proteins - metabolism Arabidopsis thaliana Biosynthesis Circadian Rhythm circadian rhythms Diurnal EMBO30 EMBO31 EMBO33 Environmental changes Evening Gene Expression Regulation, Plant Gene Regulatory Networks Leaves Mass Spectrometry Mass spectroscopy Metabolism Models, Theoretical Photoperiod Photoperiods Photosynthesis Protein Biosynthesis Proteins Proteomes Proteomics Rhythms Ribonucleic acid RNA seasonality Transcription Translation |
title | Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism |
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