The genetic structure and diversity of 148 soybean genotypes were analyzed using 26 simple sequence repeat (SSR) markers. SSR analysis showed distinctive polymorphism among the 148 lines. A total of 71 alleles were detected with an average of 2.8 alleles per SSR locus. Polymorphism information content varied from 0.118 to 0.699 with an average of 0.369. These soybean genotypes were divided into 3 subgroups based on STRUCTURE analysis. Further comparison showed that the arithmetic average (UPGMA) and STRUCTURE subgroups in fact were highly coherent, as genotypes in their subsequent classified group exhibited consistency with their origins or pedigree. This analysis provided a deep insight into the genetic structure of soybeans in India and will help us to improve the breeding strategies.
Phytate is the primary storage form of phosphate in plants. Monogastric animals like poultry, pigs and fishes have very low or no phytase activities in their digestive tracts therefore, are incapable to efficiently utilize phytate phosphorus from the feed. Phytase from microbial sources are supplemented to feedstuff of these to increase the uptake of phytate phosphorus. In the present work efforts were made to isolate and characterize proficient phytase producing fungi from soil. Phytase producing fungi were isolated using phytate specific medium. Fungal isolates were selected according to their higher phytase activities. These isolates were further characterized and identified by morphological and microscopic analysis and confirmed by amplification of 18S rRNA gene, using specific primers. This gene was subsequently sequenced and phylogenetic affiliations were assigned. Fungal isolates were identified as various species of Aspergillus. Phytases from these fungi could be utilized as a feed additive in poultry and swine industries.
The present study was performed to analyze molecular diversity among different varieties of rice using SSR markers, which are effective and reliable tools for this type of analysis. A total of 34 different alleles were generated using 17 SSR primers. Out of these 33 alleles were found to be polymorphic and only one was monomorphic. On average, 2 alleles per primer and 1.94 polymorphic alleles per primer was calculated. In the cluster analysis three varieties KATKIRICE, SONUMRICE and 1010 were found to be diverse from other varieties of rice. These varieties may be used as diverse parents for the future breeding programs for rice improvement. According to Jaccard’s similarity coefficient, the highest genetic diversity was observed between KATKIRICE and CHANDRAHASNI. Both varieties were grouped distantly. Out of 17 primers, the best 10 primers were selected based on polymorphic banding patterns for genetic diversity analysis. These selected 10 primers are sufficient to discriminate the group of rice varieties. These findings not only highlight the capacity of the SSR technique but also help in the selection of diverse rice varieties for conservation and crop improvement.
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