RNAseq of diverse spring wheat cultivars released during last 110 years

cg.contributor.affiliationChinese Academy of Agricultural Sciencesen
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.affiliationQuaid-i-Azam Universityen
cg.contributor.affiliationNational Agriculture Research Centeren
cg.contributor.affiliationCOMSATS Universityen
cg.contributor.affiliationNanfan Research Instituteen
cg.contributor.donorNational Science Foundation of Chinaen
cg.contributor.donorChinese Academy of Agricultural Sciencesen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeBreeding Resources
cg.contributor.initiativeDigital Innovation
cg.creator.identifierawais rasheed: 0000-0003-2528-708Xen
cg.creator.identifierHuihui Li: 0000-0002-9117-5011en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1038/s41597-023-02769-wen
cg.isijournalISI Journalen
cg.issn2052-4463en
cg.issue1en
cg.journalScientific Dataen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaGenetic Innovation
cg.subject.impactAreaClimate adaptation and mitigation
cg.volume10en
dc.contributor.authorMaqbool, Samanen
dc.contributor.authorNaseer, Samaren
dc.contributor.authorZahra, Nageenen
dc.contributor.authorRasool, Fatimaen
dc.contributor.authorQayyum, Humairaen
dc.contributor.authorMajeed, Khawaren
dc.contributor.authorJahanzaib, Muhammaden
dc.contributor.authorSajjad, Muhammaden
dc.contributor.authorFayyaz, Muhammaden
dc.contributor.authorKashif Naeem, Muhammaden
dc.contributor.authorRamzan Khan, Muhammaden
dc.contributor.authorZhang, Haoen
dc.contributor.authorRasheed, Awaisen
dc.contributor.authorLi, Huihuien
dc.date.accessioned2024-02-29T15:16:14Zen
dc.date.available2024-02-29T15:16:14Zen
dc.identifier.urihttps://hdl.handle.net/10568/139765
dc.titleRNAseq of diverse spring wheat cultivars released during last 110 yearsen
dcterms.abstractHere, we performed RNA-seq based expression analysis of root and leaf tissues of a set of 24 historical spring wheat cultivars representing 110 years of temporal genetic variations. This huge 130 tissues RNAseq dataset was initially used to study expression pattern of 97 genes regulating root growth and development in wheat. Root system architecture (RSA) is an important target for breeding stress-resilient and high-yielding wheat cultivars under climatic fluctuations. However, root transcriptome analysis is usually obscured due to challenges in root research due to their below ground presence. We also validated the dataset by performing correlation analysis between expression of RSA related genes in roots and leaves with 25 root traits analyzed under varying moisture conditions and 10 yield-related traits. The Pearson’s correlation coefficients between root phenotypes and expression of root-specific genes varied from −0.72 to 0.78, and strong correlations with genes such as DRO1, TaMOR, ARF4, PIN1 was observed. The presented datasets have multiple uses such as a) studying the change in expression pattern of genes during time, b) differential expression of genes in two very important tissues of wheat i.e., leaf and roots, and c) studying customized expression of genes associated with important phenotypes in diverse wheat cultivars. The initial findings presented here provided key insights into understanding the transcriptomic basis of phenotypic variability of RSA in wheat cultivars.en
dcterms.accessRightsOpen Access
dcterms.available2023-12-08en
dcterms.bibliographicCitationMaqbool, S., Naseer, S., Zahra, N., Rasool, F., Qayyum, H., Majeed, K., Jahanzaib, M., Sajjad, M., Fayyaz, M., Naeem, M. K., Khan, M. R., Zhang, H., Rasheed, A., & Li, H. (2023). RNAseq of diverse spring wheat cultivars released during last 110 years. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02769-wen
dcterms.issued2023en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherNature Publishing Groupen
dcterms.subjectRNA sequenceen
dcterms.subjectspring wheaten
dcterms.subjectroot architectureen
dcterms.subjectgenesen
dcterms.typeJournal Article

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