Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieti...
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Veröffentlicht in: | Genes 2023-07, Vol.14 (8), p.1556 |
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description | Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination. |
doi_str_mv | 10.3390/genes14081556 |
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One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes14081556</identifier><identifier>PMID: 37628608</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Abiotic stress ; Analysis ; Biosynthesis ; Cytosine ; Environmental factors ; Enzymes ; Food ; Gene expression ; Gene set enrichment analysis ; Genes ; Genetic engineering ; Genetic research ; Genomes ; Genomics ; Germination ; Germplasm ; Kinases ; Metabolism ; Metabolites ; Mineral industry ; Mining industry ; Molecular modelling ; New varieties ; Osmosis ; Physiology ; Rice ; Salinity tolerance ; Salt ; Signal transduction ; Sodium chloride ; Transcriptomes ; Transcriptomics</subject><ispartof>Genes, 2023-07, Vol.14 (8), p.1556</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-a463d5f1545067d0bb90ed0f7286ab6d7bfc9c80c168cfbf5dd9c505f235eff53</citedby><cites>FETCH-LOGICAL-c460t-a463d5f1545067d0bb90ed0f7286ab6d7bfc9c80c168cfbf5dd9c505f235eff53</cites><orcidid>0000-0001-8472-0109</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/PMC10454240/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454240/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Han, Xiao</creatorcontrib><creatorcontrib>Wu, Zhihai</creatorcontrib><creatorcontrib>Liu, Fangbiao</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Wei, Xiaoshuang</creatorcontrib><creatorcontrib>Tian, Ping</creatorcontrib><creatorcontrib>Ling, Fenglou</creatorcontrib><title>Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination</title><title>Genes</title><description>Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination.</description><subject>Abiotic stress</subject><subject>Analysis</subject><subject>Biosynthesis</subject><subject>Cytosine</subject><subject>Environmental factors</subject><subject>Enzymes</subject><subject>Food</subject><subject>Gene expression</subject><subject>Gene set enrichment analysis</subject><subject>Genes</subject><subject>Genetic engineering</subject><subject>Genetic research</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Germination</subject><subject>Germplasm</subject><subject>Kinases</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Mineral industry</subject><subject>Mining industry</subject><subject>Molecular modelling</subject><subject>New varieties</subject><subject>Osmosis</subject><subject>Physiology</subject><subject>Rice</subject><subject>Salinity tolerance</subject><subject>Salt</subject><subject>Signal transduction</subject><subject>Sodium chloride</subject><subject>Transcriptomes</subject><subject>Transcriptomics</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkstLxDAQxoMoKqtH7wUvXqrT5tH2JIv4Ah-g6zmkeayRNlmTVvC_N-su4orJYcLkN98kH4PQUQGnGDdwNtdOx4JAXVDKttB-CRXOCSnp9q_zHjqM8Q3SIlAC0F20hytW1gzqffQwC8JFGexi8L2V2dSJ7jPamAmnsmfRDfnMdzoxUmfXqVt2b51180yNYRme7Hc-9NaJwXp3gHaM6KI-XMcJerm6nF3c5HeP17cX07tcEgZDLgjDipqCEgqsUtC2DWgFpkqvEi1TVWtkI2uQBaulaQ1VqpEUqCkx1cZQPEHnK93F2PZaSe2GIDq-CLYX4ZN7YfnmjbOvfO4_eAGEkpJAUjhZKwT_Puo48N5GqbtOOO3HyMuaVjUhrCoSevwHffNjSEatKGCYJa9_qLnoNLfO-NRYLkX5NNlNqroBnKjTf6i0lU72e6eNTfmNgnxVIIOPMWjz88kC-HII-MYQ4C9FVKLi</recordid><startdate>20230729</startdate><enddate>20230729</enddate><creator>Han, Xiao</creator><creator>Wu, Zhihai</creator><creator>Liu, Fangbiao</creator><creator>Wang, Yu</creator><creator>Wei, Xiaoshuang</creator><creator>Tian, Ping</creator><creator>Ling, Fenglou</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8472-0109</orcidid></search><sort><creationdate>20230729</creationdate><title>Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination</title><author>Han, Xiao ; Wu, Zhihai ; Liu, Fangbiao ; Wang, Yu ; Wei, Xiaoshuang ; Tian, Ping ; Ling, Fenglou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-a463d5f1545067d0bb90ed0f7286ab6d7bfc9c80c168cfbf5dd9c505f235eff53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abiotic stress</topic><topic>Analysis</topic><topic>Biosynthesis</topic><topic>Cytosine</topic><topic>Environmental factors</topic><topic>Enzymes</topic><topic>Food</topic><topic>Gene expression</topic><topic>Gene set enrichment analysis</topic><topic>Genes</topic><topic>Genetic engineering</topic><topic>Genetic research</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Germination</topic><topic>Germplasm</topic><topic>Kinases</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Mineral industry</topic><topic>Mining industry</topic><topic>Molecular modelling</topic><topic>New varieties</topic><topic>Osmosis</topic><topic>Physiology</topic><topic>Rice</topic><topic>Salinity tolerance</topic><topic>Salt</topic><topic>Signal transduction</topic><topic>Sodium chloride</topic><topic>Transcriptomes</topic><topic>Transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Xiao</creatorcontrib><creatorcontrib>Wu, Zhihai</creatorcontrib><creatorcontrib>Liu, Fangbiao</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Wei, Xiaoshuang</creatorcontrib><creatorcontrib>Tian, Ping</creatorcontrib><creatorcontrib>Ling, Fenglou</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Xiao</au><au>Wu, Zhihai</au><au>Liu, Fangbiao</au><au>Wang, Yu</au><au>Wei, Xiaoshuang</au><au>Tian, Ping</au><au>Ling, Fenglou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination</atitle><jtitle>Genes</jtitle><date>2023-07-29</date><risdate>2023</risdate><volume>14</volume><issue>8</issue><spage>1556</spage><pages>1556-</pages><issn>2073-4425</issn><eissn>2073-4425</eissn><abstract>Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>37628608</pmid><doi>10.3390/genes14081556</doi><orcidid>https://orcid.org/0000-0001-8472-0109</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abiotic stress Analysis Biosynthesis Cytosine Environmental factors Enzymes Food Gene expression Gene set enrichment analysis Genes Genetic engineering Genetic research Genomes Genomics Germination Germplasm Kinases Metabolism Metabolites Mineral industry Mining industry Molecular modelling New varieties Osmosis Physiology Rice Salinity tolerance Salt Signal transduction Sodium chloride Transcriptomes Transcriptomics |
title | Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination |
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