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The landscape of abiotic and biotic stress-responsive splice variants with deep RNA-seq datasets in hot pepper

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dc.contributor.authorKim, Nayoung-
dc.contributor.authorLee, Junesung-
dc.contributor.authorYeom, Seon-In-
dc.contributor.authorKang, Nam-Jun-
dc.contributor.authorKang, Won-Hee-
dc.date.accessioned2024-05-16T01:30:21Z-
dc.date.available2024-05-16T01:30:21Z-
dc.date.issued2024-04-
dc.identifier.issn2052-4463-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/70567-
dc.description.abstractAlternative splicing (AS) is a widely observed phenomenon in eukaryotes that plays a critical role in development and stress responses. In plants, the large number of RNA-seq datasets in response to different environmental stressors can provide clues for identification of condition-specific and/or common AS variants for preferred agronomic traits. We report RNA-seq datasets (350.7 Gb) from Capsicum annuum inoculated with one of three bacteria, one virus, or one oomycete and obtained additional existing transcriptome datasets. In this study, we investigated the landscape of AS in response to environmental stressors, signaling molecules, and tissues from 425 total samples comprising 841.49 Gb. In addition, we identified genes that undergo AS under specific and shared stress conditions to obtain potential genes that may be involved in enhancing tolerance to stressors. We uncovered 1,642,007 AS events and identified 4,354 differential alternative splicing genes related to environmental stressors, tissues, and signaling molecules. This information and approach provide useful data for basic-research focused on enhancing tolerance to environmental stressors in hot pepper or establishing breeding programs.-
dc.language영어-
dc.language.isoENG-
dc.publisherNature Publishing Group-
dc.titleThe landscape of abiotic and biotic stress-responsive splice variants with deep RNA-seq datasets in hot pepper-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1038/s41597-024-03239-7-
dc.identifier.scopusid2-s2.0-85190365183-
dc.identifier.wosid001202049900004-
dc.identifier.bibliographicCitationScientific data, v.11, no.1-
dc.citation.titleScientific data-
dc.citation.volume11-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusTRANSCRIPTOME-
dc.subject.keywordPlusSEQUENCE-
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