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Rice Genetics IV - IRRI books - International Rice Research Institute

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functional genomics. However, it is obvious that the most important issue for theeffective use of naturally occurring allelic variations is to provide a wide mappingpopulation derived from wild relatives and different ecotypes. We will need to developnot only primary mapping populations, such as RILs or doubled-haploid lines,but also secondary mapping populations, such as chromosomal segmental substitutionlines. In addition, precise and reliable phenotype assays will be necessary in theuse of naturally occurring allelic variations in functional genomics. Combining oldtechniques such as crossing and selection with new tools such as DNA markers andsequences will contribute greatly to the functional analysis of rice genes.ReferencesAlonso-Blanco C, Koornneef M. 2000. Naturally occurring variation in Arabidopsis: anunderexploited resource for plant genetics. Trends Plant Sci. 5:22-29.Causse MA, Fulton TM, Cho YG, Ahn SN, Chunwongse J, Wu K, Xiao J, Yu Z, Ronald PC,Harrington SE, Second G, McCouch SR, Tanksley SD. 1994. Saturated molecular map ofthe rice genome based on an interspecific backcross population. <strong>Genetics</strong> 138:1251-1274.Doebley J, Stec A, Gustus C. 1995. teosinte branched1 and the origin of maize: evidence forepistasis and the evolution of dominance. <strong>Genetics</strong> 141:333-346.Doi K, Iwata N, Yoshimura A. 1997. The construction of chromosome substitution lines ofAfrican rice (Oryza glaberrima Steud.) in the background of Japonica rice (O. sativa L.).<strong>Rice</strong> Genet. Newsl. 14:39-41.Eshed Y, Zamir D. 1996. An introgression line population of Lycopersicon pennellii in thecultivated tomato enables the identification and fine mapping of yield-associated QTL.<strong>Genetics</strong> 141:1147-1162.Harushima Y, Yano M, Shomura A, Sato M, Shimano T, Kuboki Y, Yamamoto T, Lin SY,Antonio BA, Parco A, Kajiya H, Huang N, Yamamoto K, Nagamura Y, Kurata N, KhushGS, Sasaki T. 1998. A high-density rice genetic linkage map with 2275 markers using asingle F 2 population. <strong>Genetics</strong> 148:479-494.Kurata N, Umehara Y, Tanoue H, Sasaki T. 1997. Physical mapping of the rice genome withYAC clones. Plant Mol. Biol. 35:101-113.Lin SY, Sasaki T, Yano M. 1998. Mapping quantitative trait loci controlling seed dormancy andheading date in rice, Oryza sativa L., using backcross inbred lines. Theor. Appl. Genet.96:997-1003.Lin HX, Yamamoto T, Sasaki T, Yano M. 2000. Characterization and detection of epistaticinteractions of three QTLs, Hd1, Hd2 and Hd3, controlling heading date in rice using nearlyisogenic lines. Theor. Appl. Genet. 101:1021-1028.McCouch SR, Doerge RW. 1995. QTL mapping in rice. Trends Genet. 11:482-487.Nagamura Y, Antonio BA, Sasaki T. 1997. <strong>Rice</strong> molecular genetic map using RFLPs and itsapplication. Plant Mol. Biol. 35:79-87.Paterson AH. 1995. Molecular dissection of quantitative traits: progress and prospects. GenomeRes. 5:321-333.Sasaki T, Song J, Koga-Ban Y, Matsui E, Fang F, Higo H, Nagasaki H, Hori M, Miya M,Murayama-Kayano E, Takiguchi T, Takasuga A, Niki T, Ishimaru K, Ikeda H, YamamotoY, Mukai Y, Ohta I, Miyadera N, Havukkala I, Minobe Y. 1994. Toward cataloguing all ricegenes: large-scale sequencing of randomly chosen rice cDNAs from a callus cDNA library.Plant J. 6:615-624.Naturally occurring allelic variations as a new resource . . . 237

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