SSR and AFLP based genetic diversity of soybean germplasm differing in photoperiod sensitivity

Forty-four soybean genotypes with different photoperiod response were selected after screening of 1000 soybean accessions under artificial condition and were profiled using 40 SSR and 5 AFLP primer pairs. The average polymorphism information content (PIC) for SSR and AFLP marker systems was 0.507 and 0.120, respectively. Clustering of genotypes was done using UPGMA method for SSR and AFLP and correlation was 0.337 and 0.504, respectively. Mantel's correlation coefficients between Jaccard's similarity coefficient and the cophenetic values were fairly high in both the marker systems (SSR = 0.924; AFLP = 0.958) indicating very good fit for the clustering pattern. UPGMA based cluster analysis classified soybean genotypes into four major groups with fairly moderate bootstrap support. These major clusters corresponded with the photoperiod response and place of origin. The results indicate that the photoperiod insensitive genotypes, 11/2/1939 (EC 325097) and MACS 330 would be better choice for broadening the genetic base of soybean for this trait.

Physical mapping, expression analysis and polymorphism survey of resistance gene analogues on chromosome 11 of rice.

Rice is the fi rst cereal genome with a fi nished sequence and a model crop that has important syntenic relationships with other cereal species. The objectives of our study were to identify resistance gene analogue (RGA) sequences from chromosome 11 of rice, understand their expression in other cereals and dicots by in silico analysis, determine their presence on other rice chromosomes, and evaluate the extent of polymorphism and actual expression in a set of rice genotypes. A total of 195 RGAs were predicted and physically localised. Of these, 91.79% expressed in rice, and 51.28% expressed in wheat, which was the highest among other cereals. Among monocots, sugarcane showed the highest (78.92%) expression, while among dicots, RGAs were maximally expressed in Arabidopsis (11.79%). Interestingly, two of the chromosome 11-specifi c RGAs were found to be expressing in all the organisms studied. Eighty RGAs of chromosome 11 had signifi cant homology with chromosome 12, which was the maximum among all the rice chromosomes. Thirty-one per cent of the RGAs used in polymerase chain reaction (PCR) amplifi cation showed polymorphism in a set of rice genotypes. Actual gene expression analysis revealed post-inoculation induction of one RGA in the rice line IRBB-4 carrying the bacterial blight resistance gene Xa-4. Our results have implications for the development of sequence-based markers and functional validation of specifi c RGAs in rice.