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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (2): 191-201.doi: 10.3724/SP.J.1006.2010.00191

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS •     Next Articles

Establishment of Segregation Analysis of Mixed Inheritance Model with Four Major Genes plus Polygenes in Recombinant Inbred Lines Population

WANG Jin-She,LI Hai-Wang,ZHAO Tuan-Jie,GAI Jun-Yi*   

  1. Soybean Research Institute of Nanjing Agricultural University, National Center for Soybean Improvement, National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing 210095, China
  • Received:2009-08-03 Revised:2009-12-08 Online:2010-02-10 Published:2009-12-21
  • Contact: GAI Jun-yi, E-mail: sri@njau.edu.cn, Tel: 025-84395405

Abstract:

The segregation analysis of major genes plus polygenes is a statistical method for genetic analysis of quantitative traits. This method is particularly valuable for breeders to use their data accumulated from segregation populations to estimate the genetic system of target traits which is necessary for designing breeding strategies and also useful for validating the results of QTL mapping. The recombinant inbred line (RIL) population is a permanent population, which is suitable for genetic analyses of complex traits and can be used in replicated experiments. For RIL, the analytical procedures of three major genes plus polygenes mixed inheritance models have been established and widely used in crops. There is an increasing demand on the genetic model expanding from three major genes plus polygenes to four or more major genes plus polygenes. Therefore, the objective of the present study was to establish the analytical procedures of segregation analyses for four major genes plus polygenes mixed inheritance model in RIL population. Fifteen genetic models with four additive and/or epistatic major genes including those without and with polygenes were established. The genetic models and their distribution parameters were solved and estimated with maximum likelihood method and IECM algorithm. The best model was chosen based on Akaike’s Information Criterion (AIC) and a set of goodness of fit tests. The genetic parameters of the best model were estimated with the least square method. The established procedure was validated with a set of Monte Carlo simulation experiments. The results showed a relatively high accuracy and consistency for first order parameters between the simulated population and scheduled population. For demonstration of the usefulness of the established procedure, the data of palmitic acid content obtained from a RIL population NJRIKY (derived from Kefeng 1 × Nannong 1138-2) along with their P1 and P2 were analyzed. The results showed that the data fitted to Model I-1, i.e. four additive and epistasis major genes plus additive and epistatic polygenes mixed inheritance model.

Key words: RIL population, Major gene plus polygenes mixed inheritance, Segre gation analysis

[1] Gai J-Y(盖钧镒), Zhang Y-M(章元明), Wang J-K(王建康). The Genetic System of Plant Quantitative Traits (植物数量性状遗传体系). Beijing: Science Press,2003. pp 30-150 (in Chinese)

[2] Wang J-K(王建康), Gai J-Y(盖钧镒). Identification of major gene and polygene mixed inheritance model and estimation of genetic parameters of a quantitative trait from F2 progeny. Acta Genet Sin (遗传学报), 1997, 24(5): 432-440 (in Chinese with English abstract)
[3] Zhang Y-M(章元明), Gai J-Y(盖钧镒), Wang Y-J(王永军). An expansion of joint segregation analysis of quantitative trait for using P1, P2 and DH or RIL populations. Hereditas (遗传), 2001, 23 (5): 467-470 (in Chinese with English abstract)
[4] Zhang Y-M(章元明), Gai J-Y(盖钧镒). Identification of mixed major genes and polygene inheritance model of quantitative traits by using DH or RIL population. Acta Genet Sin (遗传学报), 2000, 27(7): 634-640 (in Chinese with English abstract)
[5] Gai J Y, Wang J K. Identification and estimation of QTL model and effects. Theor Appl Genet, 1998, 97: 1162-1168
[6] Gai J-Y(盖钧镒), Wang J-K(王建康). Identification of major gene and polygene mixed inheritance model from backcrosses or F2:3 families. Acta Agron Sin (作物学报), 1998, 24(4): 402-409 (in Chinese with English abstract)
[7] Wang J-K(王建康), Gai J-Y(盖钧镒). Identification of major gene and polygene mixed inheritance model of quantitative traits by using joint analysis of P1, F1, P2, F2 and F2:3 generations. Acta Agron Sin (作物学报), 1998, 24(6): 651-659 (in Chinese with English abstract)
[8] Gai J-Y(盖钧镒), Zhang Y-M(章元明), Wang J-K(王建康). A joint analysis of multiple generations for QTL models extended to mixed two major genes plus polygene. Acta Agron Sin (作物学报), 2000, 26(4): 385-391 (in Chinese with English abstract)
[9] Gai J-Y(盖钧镒). Quantitative trait genetic research-the method of major genes plus polygene segregation analysis. Sci Res (科学前沿), 2006, 1(1): 85-92 (in Chinese with English abstract)
[10] He X-H(何小红), Gai J-Y(盖钧镒). Segregation analysis of quantitative traits in backcross inbred line population. Acta Agron Sin (作物学报), 2006, 32(2): 210-216 (in Chinese with English abstract)
[11] Zheng Y-Z(郑永战), Gai J-Y(盖钧镒), Zhou R-B(周瑞宝), Tian S-J(田少君), Lu W-G(卢为国), Li W-D(李卫东). Inheritance of fat and fatty acid composition contents in soybean. Soybean Sci (大豆科学), 2007, 26(6): 801-806 (in Chinese with English abstract)
[12] Wang C-E(王春娥), Gai J-Y(盖钧镒). Inheritance and QTL mapping of tofu and soymilk output in soybean. Sci Agric Sin (中国农业科学), 2008, 41(5): 1274-1282 (in Chinese with English abstract)
[13] Liu Y(刘莹), Gai J-Y(盖钧镒), Lü H-N(吕慧能), Wang Y-J(王永军), Chen S-Y(陈受宜). Identification of drought tolerant germplasm and inheritance and QTL mapping of related root traits in soybean (Glycine max L. Merr.). Acta Genet Sin (遗传学报), 2005, 32(8): 855-863 (in Chinese with English abstract)
[14] Wang F(王芳), Zhao T-J(赵团结), Yu D-Y(喻德跃), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). Inheritance and QTL analysis of submergence tolerance at seedling stage in soybean
[Glycine max L. Merr]. Acta Agron Sin (作物学报), 2008, 34(5): 748-753 (in Chinese with English abstract)
[15] Liu Z-X(刘章雄), Wang S-C(王守才). Studies of genetic analysis and SSR linked marker location of gene resistance to southern rust in inbred line P (25) of maize. Acta Genet Sin (遗传学报), 2003, 30(8): 706-710 (in Chinese with English abstract)
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