Transcriptomic and metabolic flux analyses reveal shift of metabolic patterns during rice grain development
Rice (Oryza sativa) is one of the most important grain crops, which serves as food source for nearly half of the world population. The study of rice development process as well as related strategies for production has made significant progress. However, the comprehensive study on development of diff...
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description | Rice (Oryza sativa) is one of the most important grain crops, which serves as food source for nearly half of the world population. The study of rice development process as well as related strategies for production has made significant progress. However, the comprehensive study on development of different rice tissues at both transcriptomic and metabolic flux level across different stages was lacked.
In this study, we performed RNA-Seq and characterized the expression profiles of differentiated tissues from Oryza sativa Zhonghua 11, including leaves, sheath, stamen, pistil, lemma and palea of the booting stage, and embryo, endosperm, lemma and palea of the mature grain stage. By integrating this set of transcriptome data of different rice tissues at different stages with a genome-scale rice metabolic model, we generated tissue-specific models and investigated the shift of metabolic patterns, and the discrepancy between transcriptomic and metabolic level. We found although the flux patterns are not very similar with the gene expression pattern, the tissues at booting stage and mature grain stage can be separately clustered by primary metabolism at either level. While the gene expression and flux distribution of secondary metabolism is more diverse across tissues and stages. The critical rate-limiting reactions and pathways were also identified. In addition, we compared the patterns of the same tissue at different stages and the different tissues at same stage. There are more altered pathways at gene expression level than metabolic level, which indicate the metabolism is more robust to reflect the phenotype, and might largely because of the complex post-transcriptional modification.
The tissue-specific models revealed more detail metabolic pattern shift among different tissues and stages, which is of great significance to uncover mechanism of rice grain development and further improve production and quality of rice. |
doi_str_mv | 10.1186/s12918-018-0574-x |
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In this study, we performed RNA-Seq and characterized the expression profiles of differentiated tissues from Oryza sativa Zhonghua 11, including leaves, sheath, stamen, pistil, lemma and palea of the booting stage, and embryo, endosperm, lemma and palea of the mature grain stage. By integrating this set of transcriptome data of different rice tissues at different stages with a genome-scale rice metabolic model, we generated tissue-specific models and investigated the shift of metabolic patterns, and the discrepancy between transcriptomic and metabolic level. We found although the flux patterns are not very similar with the gene expression pattern, the tissues at booting stage and mature grain stage can be separately clustered by primary metabolism at either level. While the gene expression and flux distribution of secondary metabolism is more diverse across tissues and stages. The critical rate-limiting reactions and pathways were also identified. In addition, we compared the patterns of the same tissue at different stages and the different tissues at same stage. There are more altered pathways at gene expression level than metabolic level, which indicate the metabolism is more robust to reflect the phenotype, and might largely because of the complex post-transcriptional modification.
The tissue-specific models revealed more detail metabolic pattern shift among different tissues and stages, which is of great significance to uncover mechanism of rice grain development and further improve production and quality of rice.</description><identifier>ISSN: 1752-0509</identifier><identifier>EISSN: 1752-0509</identifier><identifier>DOI: 10.1186/s12918-018-0574-x</identifier><identifier>PMID: 29745852</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Gene Expression Profiling ; Genetic aspects ; Metabolic Flux Analysis ; Organ Specificity ; Oryza - genetics ; Oryza - growth & development ; Oryza - metabolism ; Physiological aspects ; Plant development ; Rice ; Sequence Analysis, RNA ; Transcription (Genetics)</subject><ispartof>BMC systems biology, 2018-04, Vol.12 (Suppl 4), p.47-47, Article 47</ispartof><rights>COPYRIGHT 2018 BioMed Central Ltd.</rights><rights>The Author(s). 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c500t-d2ad6d8f99034193ac0d3ee3e40910618871172c71dbef5b5ade15ada49a76de3</citedby><cites>FETCH-LOGICAL-c500t-d2ad6d8f99034193ac0d3ee3e40910618871172c71dbef5b5ade15ada49a76de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998905/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998905/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29745852$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Fangzhou</creatorcontrib><creatorcontrib>Wu, Xueting</creatorcontrib><creatorcontrib>Shi, Luoxi</creatorcontrib><creatorcontrib>Zhang, Hang</creatorcontrib><creatorcontrib>Chen, Yangmin</creatorcontrib><creatorcontrib>Qi, Xiaoquan</creatorcontrib><creatorcontrib>Wang, Zhuo</creatorcontrib><creatorcontrib>Li, Xuan</creatorcontrib><title>Transcriptomic and metabolic flux analyses reveal shift of metabolic patterns during rice grain development</title><title>BMC systems biology</title><addtitle>BMC Syst Biol</addtitle><description>Rice (Oryza sativa) is one of the most important grain crops, which serves as food source for nearly half of the world population. The study of rice development process as well as related strategies for production has made significant progress. However, the comprehensive study on development of different rice tissues at both transcriptomic and metabolic flux level across different stages was lacked.
In this study, we performed RNA-Seq and characterized the expression profiles of differentiated tissues from Oryza sativa Zhonghua 11, including leaves, sheath, stamen, pistil, lemma and palea of the booting stage, and embryo, endosperm, lemma and palea of the mature grain stage. By integrating this set of transcriptome data of different rice tissues at different stages with a genome-scale rice metabolic model, we generated tissue-specific models and investigated the shift of metabolic patterns, and the discrepancy between transcriptomic and metabolic level. We found although the flux patterns are not very similar with the gene expression pattern, the tissues at booting stage and mature grain stage can be separately clustered by primary metabolism at either level. While the gene expression and flux distribution of secondary metabolism is more diverse across tissues and stages. The critical rate-limiting reactions and pathways were also identified. In addition, we compared the patterns of the same tissue at different stages and the different tissues at same stage. There are more altered pathways at gene expression level than metabolic level, which indicate the metabolism is more robust to reflect the phenotype, and might largely because of the complex post-transcriptional modification.
The tissue-specific models revealed more detail metabolic pattern shift among different tissues and stages, which is of great significance to uncover mechanism of rice grain development and further improve production and quality of rice.</description><subject>Gene Expression Profiling</subject><subject>Genetic aspects</subject><subject>Metabolic Flux Analysis</subject><subject>Organ Specificity</subject><subject>Oryza - genetics</subject><subject>Oryza - growth & development</subject><subject>Oryza - metabolism</subject><subject>Physiological aspects</subject><subject>Plant development</subject><subject>Rice</subject><subject>Sequence Analysis, RNA</subject><subject>Transcription (Genetics)</subject><issn>1752-0509</issn><issn>1752-0509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptktFqHCEUhqU0NOm2D9CbMtCb5mJSdcZxvCmE0DSBQKBNr8XVMxNbR6fqhM3b12WTsAtFjnr0-494-BH6QPAZIX33JREqSF_jbTDe1ptX6IRwRkuGxeu9_TF6m9JvjFlDKX-DjqngLesZPUF_7qLySUc75zBZXSlvqgmyWgdXssEtm3Kk3GOCVEV4AOWqdG-HXIVhj5tVzhB9qswSrR-raDVUY1TWV6aIXJgn8PkdOhqUS_D-aV2hX5ff7i6u6pvb79cX5ze1Zhjn2lBlOtMPQuCmJaJRGpsGoIEWC4I70vecEE41J2YNA1szZYCUSbVC8c5As0Jfd3XnZT2B0eXpqJyco51UfJRBWXl44-29HMODZEL0ojRphT4_FYjh7wIpy8kmDc4pD2FJkuKGl7Zi3hX00w4dlQNp_RBKRb3F5Tlru54K2reFOvsPVYaB0vTgYbDl_EBweiAoTIZNHtWSkrz--eOQJTtWx5BShOHlpwTLrU_kzicSb6P4RG6K5uN-i14Uz8Zo_gGwfbqc</recordid><startdate>20180424</startdate><enddate>20180424</enddate><creator>Shen, Fangzhou</creator><creator>Wu, Xueting</creator><creator>Shi, Luoxi</creator><creator>Zhang, Hang</creator><creator>Chen, Yangmin</creator><creator>Qi, Xiaoquan</creator><creator>Wang, Zhuo</creator><creator>Li, Xuan</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>ISR</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180424</creationdate><title>Transcriptomic and metabolic flux analyses reveal shift of metabolic patterns during rice grain development</title><author>Shen, Fangzhou ; Wu, Xueting ; Shi, Luoxi ; Zhang, Hang ; Chen, Yangmin ; Qi, Xiaoquan ; Wang, Zhuo ; Li, Xuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-d2ad6d8f99034193ac0d3ee3e40910618871172c71dbef5b5ade15ada49a76de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Gene Expression Profiling</topic><topic>Genetic aspects</topic><topic>Metabolic Flux Analysis</topic><topic>Organ Specificity</topic><topic>Oryza - genetics</topic><topic>Oryza - growth & development</topic><topic>Oryza - metabolism</topic><topic>Physiological aspects</topic><topic>Plant development</topic><topic>Rice</topic><topic>Sequence Analysis, RNA</topic><topic>Transcription (Genetics)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Fangzhou</creatorcontrib><creatorcontrib>Wu, Xueting</creatorcontrib><creatorcontrib>Shi, Luoxi</creatorcontrib><creatorcontrib>Zhang, Hang</creatorcontrib><creatorcontrib>Chen, Yangmin</creatorcontrib><creatorcontrib>Qi, Xiaoquan</creatorcontrib><creatorcontrib>Wang, Zhuo</creatorcontrib><creatorcontrib>Li, Xuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC systems biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Fangzhou</au><au>Wu, Xueting</au><au>Shi, Luoxi</au><au>Zhang, Hang</au><au>Chen, Yangmin</au><au>Qi, Xiaoquan</au><au>Wang, Zhuo</au><au>Li, Xuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptomic and metabolic flux analyses reveal shift of metabolic patterns during rice grain development</atitle><jtitle>BMC systems biology</jtitle><addtitle>BMC Syst Biol</addtitle><date>2018-04-24</date><risdate>2018</risdate><volume>12</volume><issue>Suppl 4</issue><spage>47</spage><epage>47</epage><pages>47-47</pages><artnum>47</artnum><issn>1752-0509</issn><eissn>1752-0509</eissn><abstract>Rice (Oryza sativa) is one of the most important grain crops, which serves as food source for nearly half of the world population. The study of rice development process as well as related strategies for production has made significant progress. However, the comprehensive study on development of different rice tissues at both transcriptomic and metabolic flux level across different stages was lacked.
In this study, we performed RNA-Seq and characterized the expression profiles of differentiated tissues from Oryza sativa Zhonghua 11, including leaves, sheath, stamen, pistil, lemma and palea of the booting stage, and embryo, endosperm, lemma and palea of the mature grain stage. By integrating this set of transcriptome data of different rice tissues at different stages with a genome-scale rice metabolic model, we generated tissue-specific models and investigated the shift of metabolic patterns, and the discrepancy between transcriptomic and metabolic level. We found although the flux patterns are not very similar with the gene expression pattern, the tissues at booting stage and mature grain stage can be separately clustered by primary metabolism at either level. While the gene expression and flux distribution of secondary metabolism is more diverse across tissues and stages. The critical rate-limiting reactions and pathways were also identified. In addition, we compared the patterns of the same tissue at different stages and the different tissues at same stage. There are more altered pathways at gene expression level than metabolic level, which indicate the metabolism is more robust to reflect the phenotype, and might largely because of the complex post-transcriptional modification.
The tissue-specific models revealed more detail metabolic pattern shift among different tissues and stages, which is of great significance to uncover mechanism of rice grain development and further improve production and quality of rice.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>29745852</pmid><doi>10.1186/s12918-018-0574-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Gene Expression Profiling Genetic aspects Metabolic Flux Analysis Organ Specificity Oryza - genetics Oryza - growth & development Oryza - metabolism Physiological aspects Plant development Rice Sequence Analysis, RNA Transcription (Genetics) |
title | Transcriptomic and metabolic flux analyses reveal shift of metabolic patterns during rice grain development |
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