Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine
Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionati...
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creator | Li, Shang-Tong Ke, Yunzhuo Zhu, Yunke Zhu, Tian-Yi Huang, Huanwei Li, Linxia Hou, Zhiyang Zhang, Xuemin Li, Yaping Liu, Chaofan Li, Xiulan Xie, Mengjia Zhou, Lianqi Meng, Chen Wang, Faming Gu, Xiaofeng Yang, Bing Yu, Hao Liang, Zhe |
description | Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and tissue-enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and
Arabidopsis
reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of
N
6
-methyladenosine (m
6
A) across the rice major tissues shows that m
6
A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m
6
A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome.
This proteomic landscape study reveals proteins associated with the functional specificity of rice tissues, and further multi-omics analysis shows that
N
6
-methyladenosine in untranslated regions is negatively correlated with protein abundance. |
doi_str_mv | 10.1038/s41477-024-01745-5 |
format | Article |
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Arabidopsis
reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of
N
6
-methyladenosine (m
6
A) across the rice major tissues shows that m
6
A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m
6
A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome.
This proteomic landscape study reveals proteins associated with the functional specificity of rice tissues, and further multi-omics analysis shows that
N
6
-methyladenosine in untranslated regions is negatively correlated with protein abundance.</description><identifier>ISSN: 2055-0278</identifier><identifier>EISSN: 2055-0278</identifier><identifier>DOI: 10.1038/s41477-024-01745-5</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208 ; 631/449 ; Biomedical and Life Sciences ; Discordance ; DNA methylation ; Food plants ; Fractionation ; Genes ; Landscape studies ; Life Sciences ; Mass spectrometry ; Mass spectroscopy ; N6-methyladenosine ; Plant Sciences ; Post-transcription ; Proteins ; Proteomes ; Proteomics ; Rice ; Scientific imaging ; Tissues</subject><ispartof>Nature plants, 2024-08, Vol.10 (8), p.1201-1214</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2024. corrected publication 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c233t-8136da96e61fd42f88ff00051916b5ced077f531dd99c3b21b44812741db73073</cites><orcidid>0000-0002-2945-4685 ; 0000-0002-9778-8855 ; 0000-0001-6872-6463 ; 0000-0002-4266-373X ; 0000-0003-1127-4261 ; 0000-0002-1080-3275 ; 0000-0001-6739-2932</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41477-024-01745-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41477-024-01745-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Li, Shang-Tong</creatorcontrib><creatorcontrib>Ke, Yunzhuo</creatorcontrib><creatorcontrib>Zhu, Yunke</creatorcontrib><creatorcontrib>Zhu, Tian-Yi</creatorcontrib><creatorcontrib>Huang, Huanwei</creatorcontrib><creatorcontrib>Li, Linxia</creatorcontrib><creatorcontrib>Hou, Zhiyang</creatorcontrib><creatorcontrib>Zhang, Xuemin</creatorcontrib><creatorcontrib>Li, Yaping</creatorcontrib><creatorcontrib>Liu, Chaofan</creatorcontrib><creatorcontrib>Li, Xiulan</creatorcontrib><creatorcontrib>Xie, Mengjia</creatorcontrib><creatorcontrib>Zhou, Lianqi</creatorcontrib><creatorcontrib>Meng, Chen</creatorcontrib><creatorcontrib>Wang, Faming</creatorcontrib><creatorcontrib>Gu, Xiaofeng</creatorcontrib><creatorcontrib>Yang, Bing</creatorcontrib><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Liang, Zhe</creatorcontrib><title>Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine</title><title>Nature plants</title><addtitle>Nat. Plants</addtitle><description>Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and tissue-enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and
Arabidopsis
reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of
N
6
-methyladenosine (m
6
A) across the rice major tissues shows that m
6
A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m
6
A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome.
This proteomic landscape study reveals proteins associated with the functional specificity of rice tissues, and further multi-omics analysis shows that
N
6
-methyladenosine in untranslated regions is negatively correlated with protein abundance.</description><subject>631/208</subject><subject>631/449</subject><subject>Biomedical and Life Sciences</subject><subject>Discordance</subject><subject>DNA methylation</subject><subject>Food plants</subject><subject>Fractionation</subject><subject>Genes</subject><subject>Landscape studies</subject><subject>Life Sciences</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>N6-methyladenosine</subject><subject>Plant Sciences</subject><subject>Post-transcription</subject><subject>Proteins</subject><subject>Proteomes</subject><subject>Proteomics</subject><subject>Rice</subject><subject>Scientific imaging</subject><subject>Tissues</subject><issn>2055-0278</issn><issn>2055-0278</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtLxDAUhYsoKKN_wFXAjZto0iRNu5TBF_jY6Dqkye3YodPU3Iw4_97oCIoLVzfcfOdwD6cojjk740zU5yi51JqyUlLGtVRU7RQHJVMqr3S9--u9XxwhLhnLmFKiYgfF-71FJDiBSzGsIMUNbS2CJ1MMCcKqd2Swo0dnJyChI7F3QCK8gR2QWDIFTDRFO6KL_ZT6MNohfy_Wg00hbkgMw5fsoaLZ_GUzWA9jwH6Ew2Kvyx5w9D1nxfPV5dP8ht49Xt_OL-6oK4VItOai8rapoOKdl2VX112X71e84VWrHHimdacE975pnGhL3kpZ81JL7lstmBaz4nTrmwO9rgGTWfXoYMipIKzRZKapVVU3ZUZP_qDLsI450SfVyEYwoXmmyi3lYkCM0Jkp9isbN4Yz89mH2fZhch_mqw-jskhsRZjhcQHxx_of1Qe4_o6o</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Li, Shang-Tong</creator><creator>Ke, Yunzhuo</creator><creator>Zhu, Yunke</creator><creator>Zhu, Tian-Yi</creator><creator>Huang, Huanwei</creator><creator>Li, Linxia</creator><creator>Hou, Zhiyang</creator><creator>Zhang, Xuemin</creator><creator>Li, Yaping</creator><creator>Liu, Chaofan</creator><creator>Li, Xiulan</creator><creator>Xie, Mengjia</creator><creator>Zhou, Lianqi</creator><creator>Meng, Chen</creator><creator>Wang, Faming</creator><creator>Gu, Xiaofeng</creator><creator>Yang, Bing</creator><creator>Yu, Hao</creator><creator>Liang, Zhe</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2945-4685</orcidid><orcidid>https://orcid.org/0000-0002-9778-8855</orcidid><orcidid>https://orcid.org/0000-0001-6872-6463</orcidid><orcidid>https://orcid.org/0000-0002-4266-373X</orcidid><orcidid>https://orcid.org/0000-0003-1127-4261</orcidid><orcidid>https://orcid.org/0000-0002-1080-3275</orcidid><orcidid>https://orcid.org/0000-0001-6739-2932</orcidid></search><sort><creationdate>20240801</creationdate><title>Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine</title><author>Li, Shang-Tong ; Ke, Yunzhuo ; Zhu, Yunke ; Zhu, Tian-Yi ; Huang, Huanwei ; Li, Linxia ; Hou, Zhiyang ; Zhang, Xuemin ; Li, Yaping ; Liu, Chaofan ; Li, Xiulan ; Xie, Mengjia ; Zhou, Lianqi ; Meng, Chen ; Wang, Faming ; Gu, Xiaofeng ; Yang, Bing ; Yu, Hao ; Liang, Zhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c233t-8136da96e61fd42f88ff00051916b5ced077f531dd99c3b21b44812741db73073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>631/208</topic><topic>631/449</topic><topic>Biomedical and Life Sciences</topic><topic>Discordance</topic><topic>DNA methylation</topic><topic>Food plants</topic><topic>Fractionation</topic><topic>Genes</topic><topic>Landscape studies</topic><topic>Life Sciences</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>N6-methyladenosine</topic><topic>Plant Sciences</topic><topic>Post-transcription</topic><topic>Proteins</topic><topic>Proteomes</topic><topic>Proteomics</topic><topic>Rice</topic><topic>Scientific imaging</topic><topic>Tissues</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shang-Tong</creatorcontrib><creatorcontrib>Ke, Yunzhuo</creatorcontrib><creatorcontrib>Zhu, Yunke</creatorcontrib><creatorcontrib>Zhu, Tian-Yi</creatorcontrib><creatorcontrib>Huang, Huanwei</creatorcontrib><creatorcontrib>Li, Linxia</creatorcontrib><creatorcontrib>Hou, Zhiyang</creatorcontrib><creatorcontrib>Zhang, Xuemin</creatorcontrib><creatorcontrib>Li, Yaping</creatorcontrib><creatorcontrib>Liu, Chaofan</creatorcontrib><creatorcontrib>Li, Xiulan</creatorcontrib><creatorcontrib>Xie, Mengjia</creatorcontrib><creatorcontrib>Zhou, Lianqi</creatorcontrib><creatorcontrib>Meng, Chen</creatorcontrib><creatorcontrib>Wang, Faming</creatorcontrib><creatorcontrib>Gu, Xiaofeng</creatorcontrib><creatorcontrib>Yang, Bing</creatorcontrib><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Liang, Zhe</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Nature plants</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shang-Tong</au><au>Ke, Yunzhuo</au><au>Zhu, Yunke</au><au>Zhu, Tian-Yi</au><au>Huang, Huanwei</au><au>Li, Linxia</au><au>Hou, Zhiyang</au><au>Zhang, Xuemin</au><au>Li, Yaping</au><au>Liu, Chaofan</au><au>Li, Xiulan</au><au>Xie, Mengjia</au><au>Zhou, Lianqi</au><au>Meng, Chen</au><au>Wang, Faming</au><au>Gu, Xiaofeng</au><au>Yang, Bing</au><au>Yu, Hao</au><au>Liang, Zhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine</atitle><jtitle>Nature plants</jtitle><stitle>Nat. Plants</stitle><date>2024-08-01</date><risdate>2024</risdate><volume>10</volume><issue>8</issue><spage>1201</spage><epage>1214</epage><pages>1201-1214</pages><issn>2055-0278</issn><eissn>2055-0278</eissn><abstract>Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and tissue-enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and
Arabidopsis
reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of
N
6
-methyladenosine (m
6
A) across the rice major tissues shows that m
6
A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m
6
A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome.
This proteomic landscape study reveals proteins associated with the functional specificity of rice tissues, and further multi-omics analysis shows that
N
6
-methyladenosine in untranslated regions is negatively correlated with protein abundance.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><doi>10.1038/s41477-024-01745-5</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-2945-4685</orcidid><orcidid>https://orcid.org/0000-0002-9778-8855</orcidid><orcidid>https://orcid.org/0000-0001-6872-6463</orcidid><orcidid>https://orcid.org/0000-0002-4266-373X</orcidid><orcidid>https://orcid.org/0000-0003-1127-4261</orcidid><orcidid>https://orcid.org/0000-0002-1080-3275</orcidid><orcidid>https://orcid.org/0000-0001-6739-2932</orcidid></addata></record> |
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subjects | 631/208 631/449 Biomedical and Life Sciences Discordance DNA methylation Food plants Fractionation Genes Landscape studies Life Sciences Mass spectrometry Mass spectroscopy N6-methyladenosine Plant Sciences Post-transcription Proteins Proteomes Proteomics Rice Scientific imaging Tissues |
title | Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine |
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