Genetic variation of 20 autosomal STRs in Jats belonging to Delhi, India.

The present study based on 20 autosomal STR polymorphism reveals the genetic diversity of the Jat population of Delhi, India (n = 120). A total of 240 alleles were observed for this study. The allele frequency ranged from 0.004 to 0.508. The studied loci followed the Hardy-Weinberg equilibrium (HWE), and the heterozygosity ranged from 0.658 to 0.908. The locus Penta-E was found the most polymorphic and discriminating in the studied population with the value 0.910 and 0.981, respectively, whereas the locus TPOX was found least polymorphic and discriminating with the value 0.612 and 0.833, respectively. The combined paternity index (CPI) was 1.46 × 109, and the probability of match (CPm) was 2.68 × 10-25 for all 20 autosomal STR loci. The generated data adds to the Indian population database. It will be used for forensic purposes and in other population-based genetic studies.

Evaluation of the genomic diversity and shared ancestry of the Meitei community of Manipur (India) with the East Asian populations using autosomal STRs.

AIM: To study molecular diversity and genomic heritage of the Meitei community of Manipur using 20 autosomal gene loci markers. SUBJECTS AND METHODS: Blood samples were collected from 120 unrelated, healthy individuals of the Meitei population following ethical standards. DNA was extracted using the Phenol chloroform organic extraction method and amplified using the PowerPlex® 21 system. Genetic profiles of the individuals were generated using the Genetic Analyser 3500XL following the recommended protocol. RESULTS: The studied population showed Observed Heterozygosity (Hobs) from 0.583 (TH01) to 0.90 (D6S1043) among all the studied loci. The discrimination power and exclusion power for all the studied loci were found to be 1 and 0.9999999988, respectively, with the maximum power of discrimination being found at Penta E locus. CONCLUSIONS: All the studied loci showed a high degree of matching probability and paternity index of 2.83 × 10-24 and 7.35 × 108, respectively; these are high-level statistical values and indicate that these loci might play a very important role in the application of DNA reports in the courts of justice. The studied population showed a relatively closer genetic affinity with Newar, Kathmandu, and Han Chinese populations compared with the South and West Indian populations. The outcomes of this study will enrich the STR database of the Indian population and this is the first global report on genetic diversity in the Meitei community of Manipur, India, at 20 autosomal STR genetic markers.

Estimating genetic polymorphism in Bhuiyan population of eastern India using 20 autosomal STR loci.

We conducted a study of 182 unrelated adult individuals belonging to Bhuiyan population resident of Eastern India in order to estimate genetic polymorphism by using 20 autosomal STR loci. The results obtained from this study were compared with the published data of Indian and neighbouring countries' populations. This research study is expected to contribute significantly to forensic investigations for human identification and parentage testing.

Autosomal STR allele frequencies in Kahars of Uttar Pradesh, India, drawn with PowerPlex® 21 multiplex system.

We report here the genomic portrait of Kahar population of Uttar Pradesh, India, drawn by 20 autosomal short tandem repeat (STR) loci included in PowerPlex® 21 multiplex system from 147 unrelated individuals.The combined discrimination power (CPD) and combined exclusion power (CPE) observed a value of 1 for all the tested 20 autosomal STR loci. Locus Penta E showed the highest power of discrimination (0.976) in the studied population, whereas TPOX showed the lowest (0.851). The study presents the first global report on genetic data of Kahar population and comparison at common loci with the previously published population. The study was done with the aim of studying genetic diversity and adding to the population database.

Deciphering Genotype-by- Environment Interaction for Targeting Test Environments and Rust Resistant Genotypes in Field Pea (Pisum sativum L.).

Rust caused by Uromyces viciae-fabae is a major biotic constraint to field pea (Pisum sativum L.) cultivation worldwide. Deployment of host-pathogen interaction and resistant phenotype is a modest strategy for controlling this intricate disease. However, resistance against this pathogen is partial and influenced by environmental factors. Therefore, the magnitude of environmental and genotype-by-environment interaction was assessed to understand the dynamism of resistance and identification of durable resistant genotypes, as well as ideal testing locations for rust screening through multi-location and multi-year evaluation. Initial screening was conducted with 250 diverse genotypes at rust hot spots. A panel of 23 promising field pea genotypes extracted from initial evaluation was further assessed under inoculated conditions for rust disease for two consecutive years at six locations in India. Integration of GGE biplot analysis and multiple comparisons tests detected a higher proportion of variation in rust reaction due to environment (56.94%) as an interactive factor followed by genotype × environment interaction (35.02%), which justified the requisite of multi-year, and multi-location testing. Environmental component for disease reaction and dominance of cross over interaction (COI) were asserted by the inconsistent and non-repeatable genotypic response. The present study effectively allocated the testing locations into various categories considering their "repeatability" and "desirability index" over the years along with "discrimination power" and "representativeness." "Mega environment" identification helped in restructuring the ecological zonation and location of specific breeding. Detection of non-redundant testing locations would expedite optimal resource utilization in future. The computation of the confidence limit (CL) at 95% level through bootstrapping strengthened the accuracy of the GGE biplot and legitimated the precision of genotypes recommendation. Genotype, IPF-2014-16, KPMR-936 and IPF-2014-13 identified as "ideal" genotypes, which can be recommended for release and exploited in a resistance breeding program for the region confronting field pea rust.