V. Molecular Mapping and QTL Analysis
between wild and cultivated rice strains
H.W. Cai1 and H. Morishima2
National Institute of Genetics, Mishima, 411-8544) Japan
Nishinasuno, Tochigi, 329-2742 Japan;
2)15-2 Saiwaicho, Hiratuka, 254-0804 Japan
Flowering time is an important trait both for cultivated
and wild plants to reproduce themselves in their habitats. Growth duration
or days to heading (DTH) in rice can be divided into two phases; basic
vegetative phase (BVP) and photoperiod sensitive phase (PSP) (Chang et
al. 1969). Several major genes for DTH, BVP and PSP have been identified
by many workers.
To identify quantitative trait loci (QTL) for heading date,
we used 118 recombination inbred (RI) lines derived from a cross between
wild rice 0. rufipogon (W1944) and cultivated rice 0. sativa (Pei-Khu).
One hundred forty markers were mapped and employed for QTL analysis. Details
of map construction are reported elsewhere (Cai and Morishima submitted).
Heading dates were observed in 1995 (F6), 1996 (F7) and 1997 (F7) under
natural day length. In addition, in 1996 the same set of materials were
also tested in automatic short-day field (11.5 hours). Days to heading
observed under short day condition and difference between DTH under short-day
and long (natural) day conditions were tentatively regarded as BVP and
PSP, respectively. Difference in DTH under natural day-length between 1995
and 1996 was regarded as temperature sensitive phase (TSP), as these two
years markedly differed in summer temperature.
DTH, BVP, PSP and TSP were analyzed by simple interval mapping
(SIM) and composite interval mapping (CIM) using MQTL software (Tinker
and Mather 1995). SIM (0.05 significant level, F = 10.9) revealed three
DTH loci and six BVP loci (data not shown). CIM (0.05 significant level,
F = 10.9) revealed some more loci for DTH and BVP as shown in Table 1.
In addition, four PSP loci were identified. Among DTH loci, qDTH-1 and
qDTH-8 are accompanied by BVP and PSP loci closely or within the region
flanked by the same markers. These two regions might affect both BVP and
PSP genes or carry two linked genes. qDTH-3, qDTH-4-1, qDTH-5-1 and qDTH-l1-1
were accompanied by one BVP gene, respectively. QTL for TSP were not found.
Composite interval mapping, by which data taken under multiple environments
can be analyzed, enabled us to test interaction between QTL for DTH and
year. qDTH-2-2 showed significant interaction with year effect. This locus
might be responsible for temperature sensitivity.
Direction of additive gene effect mostly coincided with
that predicted by phenotypes of parents. Wild alleles increase DTH, BVP
and PSP. Only one BVP locus qBVP-4 showed opposite effect.In addition to
the genes for heading behavior detected by conventional genic analysis,
marker assisted studies revealed many QTLs (Li et a!. 1995, Xiao et a!.
1996). More recently, Yano eta!. (1997) detected two DTH QTLs with relatively
large effect and three with smaller effect based on Nipponbare / Kasalath
cross. It seems difficult to compare QTLs we found with the known loci
reported by others. qPSP-6 flanked by R2l71 and RZ144 might be Sel, though
it should be confirmed through fine linkage mapping.
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Table 1. QTLs for heading behavior detected using composite
interval mapping
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Cai, H.W. and H. Monshima, 1998. QTL clusters reflect adaptive
syndromes of domestication in rice. (submitted to TAG).
Chang, T.T., C.C. Li and B.S. Vergara, 1969. Component analysis
of duration from seeding to heading in rice by the basic vegetative phase
and the photoperiod-sensitive phase. Euphytica 18: 79-91.
Li, Z., S.R.M. Pinson, J.W. Stansel, W.D. Park, 1995. Identification
of quantitative trait loci (QTLs) for head-ing date and plant height in
cultivated rice (Oryza sativa L.). Theor. Appl. Genet. 91: 374-381.
Tinker, N.A. and D.E. Mather, 1995. MQTL: software for simplified
composite interval mapping of QTL in multiple environments. Journal of
Agricultural Genomics 1: Article 2.
Xiao, J., J. Li, L. Yuan and S.D. Tanksley, 1995. Dominance
is the major genetic basis of heterosis in rice as revealed by QTL analysis
using molecular markers. Genetics 140: 745-754.
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Yano, M., Y. Harushima, Y. Nagamura, N. Kurata, Y. Minobe, 1. Sasaki, 1997. Identification of quantitative