RESUMO
Starch paste viscosity plays an important role in estimating the cooking, eating, and processing quality of rice. The inheritance of starch paste viscosity in glutinous rice remains undefined. In the present study, 118 glutinous rice accessions were collected, and the genotypes of 17 starch synthesis-related genes (SSRG) were analyzed by using 43 gene-specific molecular markers. Association analysis indicated that 10 of 17 SSRGs were involved in controlling the rapid visco analyzer (RVA) profile parameters. Among these, the PUL gene was identified to play an important role in control of peak viscosity (PKV), hot paste viscosity (HPV), cool paste viscosity (CPV), breakdown viscosity (BDV), peak time (PeT), and paste temperature (PaT) in glutinous rice. Other SSRGs involved only a few RVA profile parameters. Furthermore, interactions between SSRGs were found being responsible for PeT, PaT, and BDV. Some of the RVA parameters, including PKV, HPV, CPV, CSV, and PaT, were mainly governed by single SSRG, whereas other parameters, such as BDV, SBV, and PeT, were controlled by a few SSRGs, functioning cooperatively. Further, three near-isogenic lines (NIL) of a japonica glutinous cv. Suyunuo as genetic background, with PUL, SSIII-1, and SSIII-2 alleles replaced with those of indica cv. Guichao 2, were employed to verify the genetic effects of the various genes, and the results were consistent with those obtained from the association analysis. These findings indicated that starch paste viscosity in glutinous rice had a complex genetic system, and the PUL gene played an important role in determining the RVA profile parameters in glutinous rice. These results provide important information for potentially improving the quality of glutinous rice.
Assuntos
Genes de Plantas/genética , Oryza/genética , Amido/química , Estudos de Associação Genética , Endogamia , Fenótipo , Dinâmica Populacional , Reprodutibilidade dos Testes , Amido/biossíntese , ViscosidadeRESUMO
In many cases, Bayesian methods can solve problems of interest more directly than a classical approach. Its utility lies on the incorporation of prior information. In recent years, with the development of high-speed computer and advances of MCMC algorithm, Bayesian methods have been employed in many genetic areas, such as population genetics, molecular evolution, linkage mapping, and quantitative genetics and so on. In this review, we reviewed the development of Bayesian approaches for quantitative trait locus (QTL) mapping in quantitative genetics.
Assuntos
Teorema de Bayes , Mapeamento Cromossômico/métodos , Locos de Características Quantitativas , Mapeamento Cromossômico/tendênciasRESUMO
Bayesian School as one of the important statistical schools is different from the Classical Statistics, and the Bayesian methods have been widely used in many fields of modern sciences. In the present paper, we discussed the application of Bayesian method in linkage analysis, including the Bayesian estimation of recombination fraction, linkage testing based on the Bayes Factor and the Bayesian approach for genetic linkage map construction via Markov chain Monte Carlo algorithm. Simulation study and real data analysis were performed using SAS/IML software, and the validity and practicability of Bayesian method in genetic linkage analysis were thus verified.
