Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/191250
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2018-02-12T09:09:48Z-
dc.date.available2018-02-12T09:09:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/191250-
dc.description.abstractSoil salinity is a major abiotic stress limiting rice production in about thirty percent of the rice growing area worldwide. This trait is controlled by quantitative trait loci (QTLs), showing continuous phenotypic variation in the rice populations. Identification of genes controlling quantitative traits is difficult using any single approach due to complex inheritance of the trait and limited resolving power of the individual techniques. In this study, a combination of genetic mapping and bulked transcriptome profiling was used to narrow down the number of candidate genes for salt tolerance in rice. A population of 216 recombinant inbred lines (RILs) derived from a cross between salt-tolerant variety CSR 27 and salt-susceptible variety MI 48 of rice was used to map quantitative trait loci (QTL) for salt ion concentrations in different tissues and salt susceptibility index (SSI) for spikelet fertility, grain weight and grain yield. Nine significant QTLs were mapped on chromosome 1, 8, and 12 for the salt ion concentrations and a QTL controlling SSI for spikelet fertility was co-located in one of these intervals on chromosome 8. The QTL intervals on chromosome I and 8 mapped earlier in F2 population were narrowed down to 0.4 Mbp and 8 Mbp, respectively. In total, 2681 genes were located in the nine QTL intervals, making it difficult to pinpoint the candidate genes responsible for the trait. Similarly, microarray transcriptome profiling of the seedlings of tolerant and susceptible parents grown under control and salt stress showed 798 and 2407 differentially expressed gene probes, respectively. Further, by analyzing pools of RNA extracted from ten each of extreme tolerant and extreme susceptible RILs (bulked transcriptome profiling) to normalize the background noise, the number of differentially expressed genes under salt stress was drastically reduced to thirty only. Two of these genes, namely integral transmembrane protein DUF6 and a cation chloride cotransporter, were not only co-located in the QTL intervals...
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFine Mapping and Expression Analysis of QTLs for Salinity Tolerance in Rice Oryza Sativa L cv CSR 27
dc.title.alternative
dc.creator.researcherAwadhesh Pandit
dc.description.note
dc.contributor.guideP.C. Sharma and N.K. Singh
dc.publisher.placeDelhi
dc.publisher.universityGuru Gobind Singh Indraprastha University
dc.publisher.institutionUniversity School of Biotechnology
dc.date.registered2004
dc.date.completed2010
dc.date.awarded01/12/2011
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University School of Biotechnology

Files in This Item:
File Description SizeFormat 
01 titlecertificateackabstract list oftablesfigures.pdfAttached File2.57 MBAdobe PDFView/Open
02 chapter-1.pdf1.31 MBAdobe PDFView/Open
03 chapter-2.pdf8.03 MBAdobe PDFView/Open
04 chapter-3.pdf4.82 MBAdobe PDFView/Open
05 chapter-4.pdf11.59 MBAdobe PDFView/Open
06 chapter-5.pdf2.5 MBAdobe PDFView/Open
07 chapter 5.1.pdf69.5 kBAdobe PDFView/Open
08 chapter-6.pdf1.87 MBAdobe PDFView/Open
09 chapter-7 appendics.pdf16.2 MBAdobe PDFView/Open
10 chapter-7.1.pdf27.86 MBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: