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Life Science Research and Sustainable Development                                   ISBN: 978-98-84663-33-9

               thatassociation  mapping  will  detect  more  genes/QTLs  with  higherresolution  compared  to
               linkage analysis. Some major QTLs cloned by linkage analysis have been fine-mapped to 100
               kb(Huang et al.,  2010). Huang et al. (2010) used ~3.6 million SNPs with 517 rice landraces. Lakewet
               al.(2010) demonstrated association mapping of drought-related traits in barley using SSR and
               SNP markers. Yanet al. (2011) reported that  SSR markers provided more information on genetic
               diversity and performed better at clustering all lines into groups than SNPs. Since both the DNA
               markers are efficient at association mapping and population studies. Zhao et al.(2011) reported
               GWAS using 44,100 SNPs with 413 rice accessions. In another experiment byZhao et al. (2010)
               studied 130 rice accessions with 170 SSR markers to identify marker–trait associations by MLM
               for grain quality. There are numerous reports on genomewide association studies (GWAS) in rice
               using SNPs.
                       A major QTL for grain length, qGRL-1.1 has been mapped to a 108-kb region between
               markers RM431 and CHR1.1 on chromosome 1 (Singh et al., 2012). GW3 and GW6 are major grain
               weight QTLs that have been fine mapped on chromosome 3 and 6, respectively. GW3 has been
               narrowed down to a 122-kb physical distance containing 16 open reading frames. The cloned GS3
               gene is located in this region and it remains to be determined whether they represent the same
               locus.
                       Notably, several QTLs that affect the vascularbundle system in rice have been further
               cloned  by  positionalcloning.  For  instance,  genes  such  asAPO1andNAL1have  beenshown  to
               involve  in  enhanced  translocation  capacity  ofvascular  bundles  (Fujita  et  al.,  2013).Fujita  et  al.
               (2013) identified the major QTL for number of spikelet per panicle i.e.NAL1 indirectly involved
               in translocation capacity of photosynthats had been fine map to 18kb between markers Ind4 and
               Ind 12. Recently another QTL for spikelet per panicle, qSPP6 map to a 429kb and cosegregate with
               markers RM20521 and Ind1.LSCHL4 a QTL for flag leaf shape and chlorophyll content has been
               mapped on chromosome 4 to a 18.97kb within T2957-2 and RM348 marker.qFLW7.2, a new major
               QTL for flag leaf width, was fine mapped within 27.1 kb region on chromosome 7. Both qFLW7.2
               and qPY7 were located in the interval of 45.30 ~ 53.34 cM on chromosome 7, which coincided
               with the relationship between yield per plant (PY) and flag leaf width (FLW)( Zhang et al., 2015).
               5.Cloning and functional characterization of Yield related traits
                       Higher yields of rice have always been apredominant goal in rice breeding techniques.
               However,the inheritances of rice yield and its componentsare still unknown, and no information
               regardingsuitable alleles can be directly provided for improvingthe rice yield level. Over the past
               20 years, the development of DNA markers and genomic sequencing technology have led to rapid
               progress in the mapping and cloning of genes underlying grain shape and grain weight in rice
               (Ashikariet al., 2006). To date, ~40 QTL/genes associated yield and its contributing traits have
               been  isolated  by  map-based  cloning  strategies.  Most  of  them  are  still  poorly  understood,
               particularly with regard to their functions at the biochemical and cell biological levels.
                       Dwarf1 (D1), also known as the rice heterotrimeric G protein alpha subunit (RGA1), D2,
               D11, and D61. Mutations in these genes result in dwarf plants and have detrimental pleiotropic
               effects on organ growth, including a reduction in seed size. D1/RGA1 was the first gene to be
               cloned that had substantial effects on seed-size regulation (Ashikariet al., 1999 and Fujisawa et al.,
               1999). An 833-base pair (bp) deletion of D1 disrupts the coding region of the heterotrimeric G
               protein alpha subunit and results in dwarf plant phenotypes with smaller grain. Genes affecting
               brassinosteroid (BR) biosynthesis and signal transduction have also been shown to regulate grain
               size in rice. D2 and D11 encode two cytochrome P450 oxidoreductase enzymes involved in BR
               biosynthesis (Hong et al., 2003) and D61 encodes a BR receptor, an ortholog of BRI1 in Arabidopsis


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