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Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings
Zinc (Zn) deficiency is one of the most widespread soil constraints affecting rice productivity, but the molecular mechanisms underlying the regulation of Zn deficiency response is still limited. Here, we aim to understand the molecular mechanisms of Zn deficiency response by integrating the analyse...
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Published in: | BMC plant biology 2019-12, Vol.19 (1), p.585-585, Article 585 |
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description | Zinc (Zn) deficiency is one of the most widespread soil constraints affecting rice productivity, but the molecular mechanisms underlying the regulation of Zn deficiency response is still limited. Here, we aim to understand the molecular mechanisms of Zn deficiency response by integrating the analyses of the global miRNA and mRNA expression profiles under Zn deficiency and resupply in rice seedlings by integrating Illumina's high-throughput small RNA sequencing and transcriptome sequencing.
The transcriptome sequencing identified 360 genes that were differentially expressed in the shoots and roots of Zn-deficient rice seedlings, and 97 of them were recovered after Zn resupply. A total of 68 miRNAs were identified to be differentially expressed under Zn deficiency and/or Zn resupply. The integrated analyses of miRNAome and transcriptome data showed that 12 differentially expressed genes are the potential target genes of 10 Zn-responsive miRNAs such as miR171g-5p, miR397b-5p, miR398a-5p and miR528-5p. Some miRNA genes and differentially expressed genes were selected for validation by quantitative RT-PCR, and their expressions were similar to that of the sequencing results.
These results provide insights into miRNA-mediated regulatory pathways in Zn deficiency response, and provide candidate genes for genetic improvement of Zn deficiency tolerance in rice. |
doi_str_mv | 10.1186/s12870-019-2203-2 |
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The transcriptome sequencing identified 360 genes that were differentially expressed in the shoots and roots of Zn-deficient rice seedlings, and 97 of them were recovered after Zn resupply. A total of 68 miRNAs were identified to be differentially expressed under Zn deficiency and/or Zn resupply. The integrated analyses of miRNAome and transcriptome data showed that 12 differentially expressed genes are the potential target genes of 10 Zn-responsive miRNAs such as miR171g-5p, miR397b-5p, miR398a-5p and miR528-5p. Some miRNA genes and differentially expressed genes were selected for validation by quantitative RT-PCR, and their expressions were similar to that of the sequencing results.
These results provide insights into miRNA-mediated regulatory pathways in Zn deficiency response, and provide candidate genes for genetic improvement of Zn deficiency tolerance in rice.</description><identifier>ISSN: 1471-2229</identifier><identifier>EISSN: 1471-2229</identifier><identifier>DOI: 10.1186/s12870-019-2203-2</identifier><identifier>PMID: 31878878</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Aquatic plants ; Chromosome 5 ; Copper ; DNA methylation ; Enzymes ; Gene expression ; Gene loci ; Gene sequencing ; Genes ; Genes, Plant - genetics ; Genetic improvement ; Genetic research ; Homeostasis ; Leaves ; Messenger RNA ; MicroRNA ; MicroRNAs ; MicroRNAs - metabolism ; miRNA ; Molecular modelling ; Nutrient deficiency ; Oryza - genetics ; Oryza - metabolism ; Oxidative stress ; Physiology ; Plant tolerance ; Polymerase chain reaction ; Production management ; Proteins ; Ribonucleic acid ; Rice ; Rice (Oryza sativa) ; RNA ; RNA sequencing ; Seedlings ; Seedlings - genetics ; Seedlings - metabolism ; Shoots ; Sorghum ; Transcriptome ; Zinc ; Zinc (Nutrient) ; Zinc - deficiency ; Zinc compounds</subject><ispartof>BMC plant biology, 2019-12, Vol.19 (1), p.585-585, Article 585</ispartof><rights>COPYRIGHT 2019 BioMed Central Ltd.</rights><rights>2019. This work is licensed 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><rights>The Author(s). 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c594t-525b715e97c03280f6927af1a40ccc628e6efcb9331dfa2f4a79d035e0a6400b3</citedby><cites>FETCH-LOGICAL-c594t-525b715e97c03280f6927af1a40ccc628e6efcb9331dfa2f4a79d035e0a6400b3</cites><orcidid>0000-0002-5296-3816</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/PMC6933703/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2341461842?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31878878$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zeng, Houqing</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Ding, Ming</creatorcontrib><creatorcontrib>Zhu, Yiyong</creatorcontrib><title>Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings</title><title>BMC plant biology</title><addtitle>BMC Plant Biol</addtitle><description>Zinc (Zn) deficiency is one of the most widespread soil constraints affecting rice productivity, but the molecular mechanisms underlying the regulation of Zn deficiency response is still limited. Here, we aim to understand the molecular mechanisms of Zn deficiency response by integrating the analyses of the global miRNA and mRNA expression profiles under Zn deficiency and resupply in rice seedlings by integrating Illumina's high-throughput small RNA sequencing and transcriptome sequencing.
The transcriptome sequencing identified 360 genes that were differentially expressed in the shoots and roots of Zn-deficient rice seedlings, and 97 of them were recovered after Zn resupply. A total of 68 miRNAs were identified to be differentially expressed under Zn deficiency and/or Zn resupply. The integrated analyses of miRNAome and transcriptome data showed that 12 differentially expressed genes are the potential target genes of 10 Zn-responsive miRNAs such as miR171g-5p, miR397b-5p, miR398a-5p and miR528-5p. Some miRNA genes and differentially expressed genes were selected for validation by quantitative RT-PCR, and their expressions were similar to that of the sequencing results.
These results provide insights into miRNA-mediated regulatory pathways in Zn deficiency response, and provide candidate genes for genetic improvement of Zn deficiency tolerance in rice.</description><subject>Analysis</subject><subject>Aquatic plants</subject><subject>Chromosome 5</subject><subject>Copper</subject><subject>DNA methylation</subject><subject>Enzymes</subject><subject>Gene expression</subject><subject>Gene loci</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genes, Plant - genetics</subject><subject>Genetic improvement</subject><subject>Genetic research</subject><subject>Homeostasis</subject><subject>Leaves</subject><subject>Messenger RNA</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - metabolism</subject><subject>miRNA</subject><subject>Molecular modelling</subject><subject>Nutrient deficiency</subject><subject>Oryza - genetics</subject><subject>Oryza - metabolism</subject><subject>Oxidative stress</subject><subject>Physiology</subject><subject>Plant tolerance</subject><subject>Polymerase chain reaction</subject><subject>Production management</subject><subject>Proteins</subject><subject>Ribonucleic acid</subject><subject>Rice</subject><subject>Rice (Oryza sativa)</subject><subject>RNA</subject><subject>RNA sequencing</subject><subject>Seedlings</subject><subject>Seedlings - genetics</subject><subject>Seedlings - metabolism</subject><subject>Shoots</subject><subject>Sorghum</subject><subject>Transcriptome</subject><subject>Zinc</subject><subject>Zinc (Nutrient)</subject><subject>Zinc - deficiency</subject><subject>Zinc compounds</subject><issn>1471-2229</issn><issn>1471-2229</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkktv1DAUhSMEoqXwA9igSGzKIsWv2MkGaVTxGKkCqcDacuzr4FFiD3ZSMfx6HKaUBqFEinPy3ZPr61MUzzG6wLjhrxMmjUAVwm1FCKIVeVCcYiZwfiPtw3vrk-JJSjuEsGhY-7g4obgRTb5PC7P1E_RRTWBK5dVwSJDKYMvRXX_chBGyaMopKp90dPtpUSLcgBrKn87r0oB12oHXhyynffBLufNldBrKBGAG5_v0tHhk1ZDg2e3zrPj67u2Xyw_V1af328vNVaXrlk1VTepO4BpaoRElDbK8JUJZrBjSWnPSAAeru5ZSbKwilinRGkRrQIozhDp6VmyPviaondxHN6p4kEE5-VsIsZcqTk4PIKEjHa2J7ripGc-uiDFLNW6YNh1mdfZ6c_Taz90IRoPPUxhWpusv3n2TfbiRPPcnEM0G57cGMXyfIU1ydEnDMCgPYU6S5G2QukZUZPTlP-guzDGfxkIxzHhui_ylepU34LwN-b96MZUbjhERmDcoUxf_ofJlYHQ6-HxgWV8VvFoVZGaCH1Ov5pTk9vP1msVHVseQUgR7Nw-M5BJJeYykzJGUSyTl0vaL-4O8q_iTQfoLiNvbEg</recordid><startdate>20191226</startdate><enddate>20191226</enddate><creator>Zeng, Houqing</creator><creator>Zhang, Xin</creator><creator>Ding, Ming</creator><creator>Zhu, Yiyong</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>3V.</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5296-3816</orcidid></search><sort><creationdate>20191226</creationdate><title>Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings</title><author>Zeng, Houqing ; Zhang, Xin ; Ding, Ming ; Zhu, Yiyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c594t-525b715e97c03280f6927af1a40ccc628e6efcb9331dfa2f4a79d035e0a6400b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Analysis</topic><topic>Aquatic plants</topic><topic>Chromosome 5</topic><topic>Copper</topic><topic>DNA methylation</topic><topic>Enzymes</topic><topic>Gene expression</topic><topic>Gene loci</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genes, Plant - genetics</topic><topic>Genetic improvement</topic><topic>Genetic research</topic><topic>Homeostasis</topic><topic>Leaves</topic><topic>Messenger RNA</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - metabolism</topic><topic>miRNA</topic><topic>Molecular modelling</topic><topic>Nutrient deficiency</topic><topic>Oryza - genetics</topic><topic>Oryza - metabolism</topic><topic>Oxidative stress</topic><topic>Physiology</topic><topic>Plant tolerance</topic><topic>Polymerase chain reaction</topic><topic>Production management</topic><topic>Proteins</topic><topic>Ribonucleic acid</topic><topic>Rice</topic><topic>Rice (Oryza sativa)</topic><topic>RNA</topic><topic>RNA sequencing</topic><topic>Seedlings</topic><topic>Seedlings - genetics</topic><topic>Seedlings - metabolism</topic><topic>Shoots</topic><topic>Sorghum</topic><topic>Transcriptome</topic><topic>Zinc</topic><topic>Zinc (Nutrient)</topic><topic>Zinc - deficiency</topic><topic>Zinc compounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Houqing</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Ding, Ming</creatorcontrib><creatorcontrib>Zhu, Yiyong</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>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC plant biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Houqing</au><au>Zhang, Xin</au><au>Ding, Ming</au><au>Zhu, Yiyong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings</atitle><jtitle>BMC plant biology</jtitle><addtitle>BMC Plant Biol</addtitle><date>2019-12-26</date><risdate>2019</risdate><volume>19</volume><issue>1</issue><spage>585</spage><epage>585</epage><pages>585-585</pages><artnum>585</artnum><issn>1471-2229</issn><eissn>1471-2229</eissn><abstract>Zinc (Zn) deficiency is one of the most widespread soil constraints affecting rice productivity, but the molecular mechanisms underlying the regulation of Zn deficiency response is still limited. Here, we aim to understand the molecular mechanisms of Zn deficiency response by integrating the analyses of the global miRNA and mRNA expression profiles under Zn deficiency and resupply in rice seedlings by integrating Illumina's high-throughput small RNA sequencing and transcriptome sequencing.
The transcriptome sequencing identified 360 genes that were differentially expressed in the shoots and roots of Zn-deficient rice seedlings, and 97 of them were recovered after Zn resupply. A total of 68 miRNAs were identified to be differentially expressed under Zn deficiency and/or Zn resupply. The integrated analyses of miRNAome and transcriptome data showed that 12 differentially expressed genes are the potential target genes of 10 Zn-responsive miRNAs such as miR171g-5p, miR397b-5p, miR398a-5p and miR528-5p. Some miRNA genes and differentially expressed genes were selected for validation by quantitative RT-PCR, and their expressions were similar to that of the sequencing results.
These results provide insights into miRNA-mediated regulatory pathways in Zn deficiency response, and provide candidate genes for genetic improvement of Zn deficiency tolerance in rice.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>31878878</pmid><doi>10.1186/s12870-019-2203-2</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-5296-3816</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Aquatic plants Chromosome 5 Copper DNA methylation Enzymes Gene expression Gene loci Gene sequencing Genes Genes, Plant - genetics Genetic improvement Genetic research Homeostasis Leaves Messenger RNA MicroRNA MicroRNAs MicroRNAs - metabolism miRNA Molecular modelling Nutrient deficiency Oryza - genetics Oryza - metabolism Oxidative stress Physiology Plant tolerance Polymerase chain reaction Production management Proteins Ribonucleic acid Rice Rice (Oryza sativa) RNA RNA sequencing Seedlings Seedlings - genetics Seedlings - metabolism Shoots Sorghum Transcriptome Zinc Zinc (Nutrient) Zinc - deficiency Zinc compounds |
title | Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings |
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