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dc.contributor.authorCao, Minen_US
dc.contributor.authorZheng, Linlingen_US
dc.contributor.authorJunyi Lien_US
dc.contributor.authorMao, Yimingen_US
dc.contributor.authorZhang, Ruien_US
dc.contributor.authorNiu, Xiaoleien_US
dc.contributor.authorGeng, Mengtingen_US
dc.contributor.authorZhang, Xiaofeien_US
dc.contributor.authorHuang, Weien_US
dc.contributor.authorLuo, Kaien_US
dc.contributor.authorChen, Yinhuaen_US
dc.date.accessioned2023-01-20T09:32:32Zen_US
dc.date.available2023-01-20T09:32:32Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/127662en_US
dc.titleTranscriptomic profiling suggests candidate molecular responses to waterlogging in cassavaen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
dcterms.abstractOwing to climate change impacts, waterlogging is a serious abiotic stress that affects crops, resulting in stunted growth and loss of productivity. Cassava (Manihot esculenta Grantz) is usually grown in areas that experience high amounts of rainfall; however, little research has been done on the waterlogging tolerance mechanism of this species. Therefore, we investigated the physiological responses of cassava plants to waterlogging stress and analyzed global gene transcription responses in the leaves and roots of waterlogged cassava plants. The results showed that waterlogging stress significantly decreased the leaf chlorophyll content, caused premature senescence, and increased the activities of superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD) in the leaves and roots. In total, 2538 differentially expressed genes (DEGs) were detected in the leaves and 13364 in the roots, with 1523 genes shared between the two tissues. Comparative analysis revealed that the DEGs were related mainly to photosynthesis, amino metabolism, RNA transport and degradation. We also summarized the functions of the pathways that respond to waterlogging and are involved in photosynthesis, glycolysis and galactose metabolism. Additionally, many transcription factors (TFs), such as MYBs, AP2/ERFs, WRKYs and NACs, were identified, suggesting that they potentially function in the waterlogging response in cassava. The expression of 12 randomly selected genes evaluated via both quantitative real-time PCR (qRT-PCR) and RNA sequencing (RNA-seq) was highly correlated (R2 = 0.9077), validating the reliability of the RNA-seq results. The potential waterlogging stress-related transcripts identified in this study are representatives of candidate genes and molecular resources for further understanding the molecular mechanisms underlying the waterlogging response in cassava.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationCao, M.; Zheng, L.; Li, J.; Mao, Y.; Zhang, R.; Niu, X.; Geng, M.; Zhang, X.; Huang, W.; Luo, K.; Chen, Y. (2022) Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava. PLOS ONE 17(1): e0261086. ISSN: 1932-6203en_US
dcterms.issued2022-01-21en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherPublic Library of Science (PLoS)en_US
dcterms.subjectwaterloggingen_US
dcterms.subjectcassavaen_US
dcterms.subjectwater toleranceen_US
dcterms.subjectgene expressionen_US
dcterms.subjecttranscription factorsen_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationHainan Universityen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.identifier.doihttps://doi.org/10.1371/journal.pone.0261086en_US
cg.isijournalISI Journalen_US
cg.subject.alliancebiovciatCASSAVAen_US
cg.subject.alliancebiovciatPLANT BREEDINGen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 3 - Good health and well-beingen_US
cg.creator.identifierxiaofei zhang: 0000-0003-4516-9179en_US
cg.contributor.donorNatural Science Foundation of Hainan Province, Chinaen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.donorGovernment of Chinaen_US
cg.reviewStatusPeer Reviewen_US
cg.howPublishedFormally Publisheden_US
cg.journalPLOS ONEen_US
cg.issn1932-6203en_US
cg.volume17en_US
cg.issue1en_US
cg.subject.actionAreaGenetic Innovationen_US
cg.contributor.initiativeAccelerated Breedingen_US


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