Genome-wide selection signatures address trait specific candidate genes in cattle indigenous to arid regions of India.

The peculiarity of Indian cattle lies in milk quality, resistance to diseases and stressors as well as adaptability. The investigation addressed selection signatures in Gir and Tharparkar cattle, belonging to arid ecotypes of India. Double digest restriction-site associated DNA sequencing (ddRAD-seq) yielded nearly 26 million high-quality reads from unrelated seven Gir and seven Tharparkar cows. In all, 19,127 high-quality SNPs were processed for selection signature analysis. An approach involving within-population composite likelihood ratio (CLR) statistics and between-population FST statistics was used to capture selection signatures within and between the breeds, respectively. A total of 191 selection signatures were addressed using CLR and FST approaches. Selection signatures overlapping 86 and 73 genes were detected as Gir- and Tharparkar-specific, respectively. Notably, genes related to production (CACNA1D, GHRHR), reproduction (ESR1, RBMS3), immunity (NOSTRIN, IL12B) and adaptation (ADAM22, ASL) were annotated to selection signatures. Gene pathway analysis revealed genes in insulin/IGF pathway for milk production, gonadotropin releasing hormone pathway for reproduction, Wnt signalling pathway and chemokine and cytokine signalling pathway for adaptation. This is the first study where selection signatures are identified using ddRAD-seq in indicine cattle breeds. The study shall help in conservation and leveraging genetic improvements in Gir and Tharparkar cattle.

AFLP markers based genetic diversity and population structure analysis of Kadaknath: an indigenous black meat poultry breed of India.

The current study is the first worldwide to assess the genetic diversity of Kadaknath poultry using amplified fragment length polymorphism (AFLP) markers. Out of total 96 accessions, four were outliers and 92 were Kadaknath accessions of which 30 were males, 62 were females. Of these, 74 were jet black, 7 penciled and 11 were golden feather color type of Kadaknath. High level of polymorphism (23.94%) was observed in 387 loci amplified using six AFLP primer combinations. The Jaccard's similarity coefficient ranged from 0.211 to 0.754 with an average dissimilarity of 0.517. Based on the neighbor-joining method of clustering, all accessions were clustered into seven major clusters which were not consistent with their respective geographical locations. The mean values of effective multiplex ratio, polymorphic information content, resolving power and marker index were 15.16, 0.38, 9.87 and 5.85 respectively. Further, the high log-likelihood score was produced when the number of populations (K) was set at 7 while carrying out the population STRUCTURE analysis, which was also congruent with clustering analysis based on genetic diversity. The extent of genetic diversity detected in this study could be used for germplasm selection and developing conservation strategies of pure breed of Kadaknath.

Seed traits, fatty acid profile and genetic diversity assessment in Pongamia pinnata (L.) Pierre germplasm.

Phenotypic variation of important seed traits like seed length, seed breadth, seed thickness, 100 seed weight and seed oil content were recorded in a total of 157 collected accessions of Pongamia. Out of these, fatty acid profiles of 38 accessions selected based on their high and low oil content was analyzed. Fatty acid profile revealed high variability in stearic, oleic and linoleic acid which varied from 0.42 to 10.61 %, 34.34 to 74.58 %, and 7.00 to 31.28 % respectively. Variations in palmitic and linolenic acid were small. Iodine value, saponification number and cetane number (CN) of fatty acid methyl esters (FAME) of seed oil ranges from 186.99 to 201.25, 81.13 to 108.19 and 46.16 to 56.47 respectively. Fatty acid compositions, degree of unsaturation and CN are the important parameters, which are used to determine quality of FAME were used as biodiesel. Some of the Pongamia accessions identified were higher in oil content while some accessions showed higher degree of unsaturation and a few of them had CN values higher than 55. Genetic diversity analysis with six TE-AFLP primers generated a total of 334 bands out of which 174 (52.10 %) were polymorphic. The genetic similarity ranged from 0.11 to 0.47. These findings clearly showed high level of genetic diversity and all economically desirable traits were not present in a single genotype of Pongamia. All these traits could be selected from these CPTs and transfer to a single elite variety through selection and breeding programme and could be utilized for large scale multiplication and plantation to produce high quantity and quality biodiesel in future.

Novel SNP based analysis of genetic diversity in Polygonatum verticillatum Linn. across Indian Himalayas.

Polygonatum verticillatum Linn. is an endangered medicinal herb from Himalayas whose rhizomes have recently been used to curate symptoms of COVID-19. During present investigation, a gene bank of P. verticillatum was established at High Altitude Herbal Garden of Forest Research Institute, Dehradun at Chakrata, at 2600 m amsl with germplasm collected from different states and union territory of India including Himachal Pradesh, Sikkim, Uttarakhand and Jammu and Kashmir covering a wide range of geographical locations from an altitude of 1800 to 3600 m amsl. Genotyping by sequencing was applied to a set of 66 accessions of P. verticillatum to identify genome-wide high quality single nucleotide polymorphisms (SNPs) for analysis of genetic diversity. Neighbour-joining tree created from the distance matrix data grouped the genotypes into five distinct clusters. The results of principal coordinate analysis and Cluster analysis overlapped to identify Narkanda, Shimla (Himachal Pradesh) and Sunil village, Chamoli (Uttarakhand) as the regions with undisturbed, highly diverse natural populations of P. verticillatum. The species displayed little congruence in terms of genetic similarities with altitudinal range. This investigation is first of its kind on generation and utilization of SNPs to analyse genetic diversity in P. verticillatum with a very vivid sample collection across the entire Himalayan range in India. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03654-4.