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dc.contributor.authorLokko, Y.
dc.contributor.authorAnderson, J.
dc.contributor.authorRudd, S.
dc.contributor.authorRaji, A.
dc.contributor.authorHorvath, D.
dc.contributor.authorMikel, M.A.
dc.contributor.authorKim, R.
dc.contributor.authorLiu, L.
dc.contributor.authorHernández, A.
dc.contributor.authorDixon, A.
dc.contributor.authorIngelbrecht, I.L.
dc.date.accessioned2019-12-04T11:15:41Z
dc.date.available2019-12-04T11:15:41Z
dc.date.issued2007
dc.identifier.citationLokko, Y., Anderson, J., Rudd, S., Raji, A., Horvath, D., Mikel, M.A. & Ingelbrecht, I. (2007). Characterization of an 18,166 EST dataset for cassava (Manihot esculenta Crantz) enriched for drought-responsive genes. Plant Cell Reports, 26(9), 1605-1618.
dc.identifier.issn0721-7714
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3013
dc.description.abstractCassava (Manihot esculenta Crantz) is a staple food for over 600 million people in the tropics and sub-tropics and is increasingly used as an industrial crop for starch production. Cassava has a high growth rate under optimal conditions but also performs well in drought-prone areas and on marginal soils. To increase the tools for understanding and manipulating drought tolerance in cassava, we generated expressed sequence tags (ESTs) from normalized cDNA libraries prepared from dehydration stressed and control well-watered tissues. Analysis of a total of 18,166 ESTs resulted in the identification of 8,577 unique gene clusters (5,383 singletons and 3,194 clusters). Functional categories could be assigned to 63% of the unigenes, while another 11% were homologous to hypothetical genes with unclear functions. The remaining ~26% were not significantly homologous to sequences in public databases suggesting that some may be novel and putatively specific to cassava. The dehydration-stressed library uncovered numerous ESTs with recognized roles in drought-responses, including those that encode late-embryogenesis-abundant proteins thought to confer osmoprotective functions during water stress, transcription factors, heat-shock proteins as well as proteins involved in signal transduction and oxidative stress. The unigene clusters were screened for short tandem repeats for further development as microsatellite markers. A total of 592 clusters contained 646 repeats, representing 3.3% of the ESTs queried. The ESTs presented here are the first dehydration stress transcriptome of cassava and can be utilized for the development of microarrays and gene-derived molecular markers to further dissect the molecular basis of drought tolerance in cassava.
dc.description.sponsorshipUnited States Agency for International Development
dc.language.isoen
dc.subjectCassava
dc.subjectHomologous
dc.subjectDrought Tolerance
dc.subjectUnigene
dc.subjectProteins
dc.subjectMolecular
dc.subjectOsmoprotective
dc.subjectPhotosynthesis
dc.titleCharacterization of an 18,166 EST dataset for cassava (Manihot esculenta Crantz) enriched for drought responsive genes
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUnited States Department of Agriculture
cg.contributor.affiliationCentre for Biotechnology, Finland
cg.contributor.affiliationUniversity of Illinois
cg.contributor.affiliationInternational Atomic Energy Agency
cg.coverage.regionAfrica
cg.coverage.regionAcp
cg.coverage.regionWest Africa
cg.coverage.regionNorth America
cg.coverage.regionEurope
cg.coverage.countryNigeria
cg.coverage.countryUnited States
cg.coverage.countryFinland
cg.coverage.countryAustria
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectHandling, Transport, Storage And Protection Of Agricultural Products
cg.iitasubjectFarm Management
cg.iitasubjectPost-Harvesting Technology
cg.iitasubjectGenetic Improvement
cg.iitasubjectLivelihoods
cg.iitasubjectNutrition
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Production
cg.accessibilitystatusLimited Access
local.dspaceid94479
cg.identifier.doihttp://dx.doi.org/10.1007/s00299-007-0378-8


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