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QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.)

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Abstract

Two sets of reciprocal introgression line (IL) populations, i.e., ILs with Lemont as recurrent parent (IL_LT) and ILs with Teqing as recurrent parent (IL_TQ), were developed and evaluated for traits representing panicle size, including primary branch number (PBN), secondary branch number (SBN), and spikelet number per panicle (SNP). Together with the regression to recurrent parent by advanced backcross, transgressive segregations were observed for all traits. Correlation and regression analysis showed that SBN had much higher contribution to SNP than PBN. It was confirmed by the QTL analysis that many common loci were detected between SBN and SNP, in comparison with single common locus between PBN and SNP. One and three main effect QTLs (M-QTLs) were detected for PBN in IL_LT and IL_TQ, respectively. Six M-QTLs per trait per populations were associated with SBN and SNP. Less number and lower contribution of epistasis were detected in IL populations in comparison with mapping result from F 2 or RI population. There were only four QTLs in fourteen loci (near 30%) commonly detected in both reciprocal IL populations implying the large impact of genetic background on QTLs expression.

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References

  • Alpert KB, Tanksley SD (1996) High-resolution mapping and isolation of a yeast artificial chromosome contig containing fw2.2: a major fruit weight quantitative trait locus in tomato. Proc Natl Acad Sci USA 93:15503–15507

    Article  PubMed  CAS  Google Scholar 

  • Belknap JK, Mitchell SR, O’Toole LA, Helms ML, Crabbe JC (1996) Type I and type II error rates for quantitative trait loci (QTL) mapping studies using recombinant inbred mouse strains. Behav Genet 26:149–60

    Article  PubMed  CAS  Google Scholar 

  • Boer MP, Braak CJF, Jansen RC (2002) A penalized likelihood method for mapping epistatic quantitative trait loci with one-dimensional genome searches. Genetics 162:951–960

    PubMed  CAS  Google Scholar 

  • Cui KH, Peng SB, Xing YZ, Yu SB, Xu CG (2002) Genetic analysis of the panicle traits related to yield sink size of rice. Acta Genetica Sinica 29:144–152

    PubMed  CAS  Google Scholar 

  • Cui KH, Peng SB, Xing YZ, Yu SB, Xu CG, Zhang Q (2003) Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice. Theor Appl Genet 106:649–58

    PubMed  CAS  Google Scholar 

  • Eshed Y, Abu-Abied M, Saranga Y, Zamir D (1992) Lycopersicon esculentum lines containing small overlapping introgressions from L. pennellii. Theor Appl Genet 83:1027–1034

    Article  CAS  Google Scholar 

  • Eshed Y, Zamir D (1994a) A genomic library of Lycopersicon pennellii in L. esculentum: A tool for fine mapping of genes. Euphytica 79:175–179

    Article  CAS  Google Scholar 

  • Eshed Y, Zamir D (1994b) Introgressions from Lycopersicon pennellii can improve the soluble-solids yield of tomato hybrids. Theor Appl Genet 88:891–897

    Article  CAS  Google Scholar 

  • Eshed Y, Zamir D (1995) An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics 141:1147–1162

    PubMed  CAS  Google Scholar 

  • Frary A, Nesbitt TC, Frary A, Grandillo S, Knaap E, Cong B, Liu J, Meller J, Elber R, Alpert KB, Tanksley SD (2000) Fw2.2: a quantitative trait locus to the evolution of tomato fruit size. Science 289:85–88

    Article  PubMed  CAS  Google Scholar 

  • Insightful Corporation (2001) S-plus 6 for windows, User’s guide. Seattle, WA, USA

  • Jannink JL, Jansen R (2001) Mapping epistatic quantitative trait loci with one-dimensional genome searches. Genetics 157:445–454

    PubMed  CAS  Google Scholar 

  • Kato T, Takeda K (1996) Associations among characters related to yield sink capacity in spaced-planted rice. Crop Sci 36:1135–1139

    Article  Google Scholar 

  • Kojima S, Takahashi Y, Kobayashi Y, Monna L, Sasaki T, Araki T, Yano M (2002) Hd3a, a rice ortholog of the Arabidopsis FT gene, promotes transition to flowering downstream of Hd1 under short-day conditions. Plant Cell Physiol 43:1096–1105

    Article  PubMed  CAS  Google Scholar 

  • Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199

    PubMed  CAS  Google Scholar 

  • Li ZK, Pinson SRM, Stansel JW, Park WD (1995) Identification of QTL for heading date and plant height in rice using RFLP markers. Theor Appl Genet 91:374–381

    CAS  Google Scholar 

  • Li ZK, Pinson SRM, Paterson AH, Park WD, Stansel JW (1997a) Epistasis for three grain yield components in rice (Oryza sativa L.). Genetics 145:453–465

    CAS  Google Scholar 

  • Li ZK, Pinson SRM, Paterson AH, Park WD, Stansel JW (1997b) Genetics of hybrid sterility and hybrid breakdown in an inter-subspecific rice (Oryza sativa L.) population. Genetics 145:1139–1148

    CAS  Google Scholar 

  • Li ZK, Luo LJ, Mei HW, Shu QY, Wang DL, Tabien R, Zhong DB, Ying CS, Stansel JW, Khush GS, Paterson AH (2001) Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice: I. Biomass and grain yield. Genetics 158:1737–1753

    PubMed  CAS  Google Scholar 

  • Luo LJ, Li ZK, Mei HW, Shu QY, Tabien R, Zhong DB, Ying CS, Stansel JW, Khush GS Paterson AH (2001) Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice: II. Grain yield components. Genetics 158:1755–1771

    PubMed  CAS  Google Scholar 

  • Manly KF, Olson JM (1999) Overview of QTL mapping software and introduction to MapManager QT. Mammalian Genome 10:327–334

    Article  PubMed  CAS  Google Scholar 

  • Mather K, Jinks JL (1982) Biometrical genetics, 3rd edn. Chapman & Hall, London

    Google Scholar 

  • McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T (1997) Report on QTL nomenclature. Rice Genet Newsl 14:11–13

    Google Scholar 

  • Mei HW, Luo LJ, Ying CS, Wang YP, Yu XQ, Guo LB, Paterson AH, Li ZK (2003) Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations. Theor Appl Genet 107:89–101

    PubMed  CAS  Google Scholar 

  • Mei HW, Li ZK, Shu QY, Guo LB, Wang YP, Yu XQ, Ying CS, Luo LJ (2005) Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two backcross populations. Theor Appl Genet 110:649–659

    Article  PubMed  CAS  Google Scholar 

  • Paterson AH, Lander SE, Hewitt JD, Peterson S, Lincoln HD, Tanksley SD (1988) Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphism. Nature 335:721–726

    Article  PubMed  CAS  Google Scholar 

  • Paterson AH, DeVerna JW, Lanini B, Tanksley SD (1990) Fine mapping of quantitative trait loci using selected overlapping recombinant chromosomes, in an interspecies cross of tomato. Genetics 124:735–742

    PubMed  CAS  Google Scholar 

  • Paterson AH, Damon S, Hewitt JD, Zamir D, Rabinowitch HD, Lincoln SE, Lander ES, Tanksley SD (1991) Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments. Genetics 127:181–197

    PubMed  CAS  Google Scholar 

  • Peng S, Cassman KG, Virmani SS, Sheehy J, Khush GS (1999) Yield potential trends of tropical rice since the release of IR8 and the challenge of increasing rice yield potential. Crop Sci 39:1552–1559

    Article  Google Scholar 

  • Tanksley SD, Nelson JC (1996). Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet 92:191–203

    Article  Google Scholar 

  • Wang DL, Zhu J, Li ZK, Paterson AH (1999) Mapping QTLs with epistatic effects and QTL x environment interactions by mixed linear model approaches. Theor Appl Genet 99:1255–1264

    Article  Google Scholar 

  • Xu JL, Yu SB, Luo LJ, Zhong DB, Mei HW, Li ZK (2004) Molecular dissection of the primary sink size and its related traits in rice. Plant Breed 123:43–50

    Article  CAS  Google Scholar 

  • Yamagishi J, Nemoto K, Mu CS (2003) Diversity of the rachis-branching system in a panicle in japonica rice. Plant Prod Sci 6:59–64

    Article  Google Scholar 

  • Yamagishi J, Miyamoto S, Hirotsu S, Laza RC (2004) QTLs for branching, floret formation, and pre-flowering floret abortion of rice panicle in a temperate japonica x tropical japonica cross. Theor Appl Genet 109:1555–1561

    Article  PubMed  CAS  Google Scholar 

  • Yamamoto T, Kuboki Y, Lin SY, Sasaki T, Yano M (1998) Fine mapping of quantitative trait loci Hd-1, Hd-2 and Hd-3, controlling heading date of rice, as single Mendelian factors. Theor Appl Genet 97:37–44

    Article  CAS  Google Scholar 

  • Yamamoto T, Lin HX, Sasaki T, Yano M (2000) Identification of heading date quantitative trait locus Hd6 and characterization of its epistatic interactions with Hd2 in rice using advanced backcross progeny. Genetics 154:855–891

    Google Scholar 

  • Yano M, Katayose Y. Ashikari M, Yamanouchi U, Monna L, Fuse T, Baba T, Yamamoto K, Umehara Y, Nagamura Y, Sasaki T (2000) Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS. Plant Cell 12:2473–2484

    Article  PubMed  CAS  Google Scholar 

  • Yu SB, Xu WJ, Vijayakumar CHM., Ali J, Fu BY, Xu JL, Jiang YZ, Marghirang R, Domingo J, Aquino C, Virmani SS, Li ZK (2003) Molecular diversity and multilocus organization of the parental lines used in the international rice molecular breeding program. Theor Appl Genet 108:131–140

    Article  PubMed  CAS  Google Scholar 

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Acknowledgement

We are very grateful to the comments and suggestions on the earlier versions of the manuscript from Dr. T. Sasaki and two anonymous reviewers. We thank Drs. K. F. Manly and J. Zhu for providing us the software packages Map Manager QTX 18 and QTLMapper 1.0, respectively. This study was jointly supported by grants from Chinese Ministry of Agriculture (948 plan, 948-2001-101), Chinese Ministry of Science and Technology (863 plan, 2003AA207010) and Shanghai Municipal Science and Technology Commission (02ZC14082, 03DJ14014, 05DJ14008).

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Correspondence to L. J. Luo.

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Communicated by T. Sasaki

H. W. Mei and J. L. Xu contributed equally to this work.

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Mei, H.W., Xu, J.L., Li, Z.K. et al. QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.). Theor Appl Genet 112, 648–656 (2006). https://doi.org/10.1007/s00122-005-0167-0

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