35. Identification of QTLs
associated with sheath rot resistance in two mapping
populations of rice (Oryza
sativa L.)
S. Hitt- talmani, K. GIRISHKUMAR,
P.G. BAGALI,
SRINIVASACHARY and HE. SHASHIDAR Department of Genetics and Plant
Breeding, University of Agricultural Sciences,
GKVK, Bangalore 560 065, India Sheath rot of rice caused by the
fungus Sarocladium oryzae has become a serious desease of rice crop in
various parts of South Asian subcontinent. The characteristic feature of
this disease is the inhibition of emergence of young panicles resulting
in discoloration and rotting of flag leaf sheath, thus affecting the grain
yield adversely (Estrada et a!. 1979). One hundred and eighty-eight F7
recombinant inbred lines (RILs) developed by single seed descent from a
cross between a West African japonica variety Moroberekan and an Indian
indica variety C039 were used in this study (Wang et a!. 1994). This experiment
was carried out at the Main research station, Bangalore, India during the
period 1997-98. The sheath rot disease incidence or severity was computed
based on the actual number of infected plants to the total number of plants
in a row and expressed as percentage of diseased with sheath rot. In a
separate study, one hundred and fourteen doubled haploid (DH) lines of
the cross IR64 x Azucena were screened for sheath rot disease at Hebbal,
Bangalore, India and Agricultural Research Station, Ponnampet, India during
the same year. The percentage of diseased with sheath rot was computed
for all the genotypes.
The panicles of the RILs and the DH lines showed considerable variation for sheath rot incidence. The RILs CM59, CM 159, CM283 and CM260 showed minimum incidence of sheath rot disease while CM62, CM81, CM 143 and CM277 were highly susceptible to sheath rot. To identify the QTL associated with sheath rot resistance interval analysis was done by using MAPMAKERJQTL (Lincoln eta!. 1992) based on percentage of sheath rot incidence for all the genotypes. We identified nine QTL on seven different chromosome (Table 1, Fig. 1). Four QTL with LOD score greater than 3.00 were identified. Among them, two were on chromosome 1 and one each on chromosomes 2 and 6. The major QTL was flanked by RGIO9 and RG236 with a maximum LOD score of 6.13 and with a phenotypic variance of 18.80%. Also, this chromosomal region is known to confer leaf blast resistance in this population (Wang et al. 1994). Similarly, regions on chromosome 4 between RG498 and RG864, on chromosome 6 between RG192 and RG1972 and on chromosome 8 between RG2O and RG333 represent regions of major QTLs controlling leaf blast resistance too, thus revealing the multiple effect of the complex loci for resistance to two rice pathogenic fungi. This result agrees with observations of Causse et al. (1994) who reported several bacterial blight resistance QTLs on chromosomes 4 and 11, particularly in the region containing blast resistance QTLs. Hence it can be hypothesized that there are several common chromosomal regions in rice that have DNA sequences conferring resistance to various diseases. In our study on IR64 x Azucena DH
population, two QTL have been identified for sheath rot resistance with
LOD score of 2.17 (chromosome 1) and 2.39 (chromosome 7) (Table 1) and
showed negative additive effect of -0.8 142 and -0.8285, respectively.
The two QTLs for sheath rot resistance identified in this population, shared
common chromosomal regions with the sheath rot resistance QTLs identified
in C039 x Moroberekan RIL population (Fig. 2). The major QTL identified
in crosses between varieties from different geographic locations and that
too on similar chromosomal location indicated the stability of the QTL
for sheath rot resistance. Such markers associated with QTL in different
varieties can be used for selecting sheath rot resistant lines. This is
the first report on the identification of QTL associated with sheath rot
tolerance in rice and their chromosomal localization on the molecular marker
map of rice.
Table 1.QTLs for sheath rot resistance identified in two
mapping populations by interval mapping in rice (Threshold LOC > 2.00)
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