Cluster Analysis on Japonica Rice (Oryza sativa L.) with Good Eating Quality Based on SSR Markers and Phenotypic Traits

Abstract Diversity of 60 conventional japonica rice accessions with good eating quality at home and abroad was analyzed using SSR molecular markers, agronomic traits and taste characteristics. A total of 290 alleles were detected in the 60 accessions at 72 SSR loci with the high similarity coefficients varying between 0.600 and 0.924. The loci on chromosome 5 showed the greatest value in average allele number. Additionally, most of the SSR loci could detect 3 to 4 alleles. An UPGMA dendrogram based on the cluster analysis of the genetic similarity coefficients showed that the grouping trend of part of the rice accessions was geographic-related and most of the rice accessions in Jiangsu Province, China were clustered together. Furthermore, many domestic accessions from south and north origins in China were close to the foreign japonica rice varieties, as proved by their pedigree origin from the foreign high-quality sources. For taste characteristics, part of the accessions with excellent taste were clearly clustered into one category though they came from different geographical regions, which indicates that taste characteristics of some varieties were mainly genetically determined. In addition, the agronomic traits of japonica rice with good taste might be closely related with their geographical origins, but the relationship between superior taste characteristics and agronomic traits should be further clarified.

[1]  T. Ishii,et al.  Nuclear- and chloroplast-microsatellite variation in A-genome species of rice. , 2001, Genome.

[2]  L. Camargo,et al.  Comparison of RFLP and RAPD markers to estimating genetic relationships within and among cruciferous species , 1994, Theoretical and Applied Genetics.

[3]  D. Botstein,et al.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms. , 1980, American journal of human genetics.

[4]  S. Ge,et al.  Microsatellite analysis of genetic diversity and population genetic structure of a wild rice (Oryza rufipogon Griff.) in China , 2003, Theoretical and Applied Genetics.

[5]  Ji-Shuang Chen,et al.  Improvement of Combining Ability for Restorer Lines with the Identified SSR Markers in Hybrid Rice Breeding , 2004 .

[6]  Michele Morgante,et al.  The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis , 1996, Molecular Breeding.

[7]  A Comparative Study of SSR Diversity in Chinese Major Rice Varieties Planted in 1950s and in the Recent Ten Years (1995-2004) , 2007 .

[8]  L. Stein,et al.  Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). , 2002, DNA research : an international journal for rapid publication of reports on genes and genomes.

[9]  M. Nei,et al.  Mathematical model for studying genetic variation in terms of restriction endonucleases. , 1979, Proceedings of the National Academy of Sciences of the United States of America.

[10]  T. Ohta,et al.  Mutation and evolution at the molecular level. , 1972, Genetics.

[11]  A. Inagaki,et al.  Microsatellite DNA markers for rice chromosomes , 1996, Theoretical and Applied Genetics.

[12]  M. Nei Analysis of gene diversity in subdivided populations. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Lingqiang Wang,et al.  Mapping quantitative trait loci underlying the cooking and eating quality of rice using a DH population , 2005, Molecular Breeding.

[14]  F. Rohlf,et al.  NTSYS-pc Numerical Taxonomy and Multivariate Analysis System, version 2.1: Owner manual , 1992 .

[15]  D. Mackill,et al.  Evaluation of Genetic Diversity in Rice Subspecies Using Microsatellite Markers , 2002 .