Abstract
The present study was carried out on 96 animals representing three distinct colour variants of Badri cattle to investigate the genetic diversity, population structure and substitution mutations in the genetic codons due to single nucleotide variations. The DNA samples of 96 Badri cows were genotyped using a double digestion restriction associated DNA (ddRAD) sequencing approach. A standardized bioinformatics pipeline was employed to identify single nucleotide polymorphisms (SNPs), initially detecting 7,168,552 SNPs through alignment with the Bos indicus reference genome assembly. Subsequent stringent quality filtration yielded 65,483 high-confidence SNPs for downstream analysis. Genetic diversity analysis of the Badri cattle population resulted in average values of 0.145, 0.088, and 0.091 for Shannon’s diversity Index (I), Simpson’s Diversity (h), and Simpson’s Unbiased Diversity (uh), respectively. Genetic similarities between the black and brown, black and grey, and brown and grey Badri variants were found to be 0.9972, 0.9980 and 0.9970, respectively. Tajima’s D diversity value was observed to be significant and positive for 99.29% of high-confidence SNPs (65,483). STRUCTURE analysis showed admixture among the three Badri colour variants, suggesting a lack of genetic differentiation. Annotation of high-confidence SNPs regarding genetic codon changes indicated maximum substitutions in the GGC with GGT (22 occurrences), followed by AAC to AGC (20 occurrences), GAA to TAA (19 occurrences) and CAA to CAG (19 occurrences). The study concludes there are genetic similarities among colour variants, lack of rare alleles, balancing selection, sudden population contraction and genetic codon substitutions within the Badri cattle population. Insights derived from SNP data analysis hold potential significance for conservation initiatives and breed improvement programs for indicine cattle.
Similar content being viewed by others
Data availability
The data sets generated and analysed during the current study are available in the European Variation Archive-EMBL- EBI repository under accession number: Project: PRJEB59419 Analyses: ERZ16007574.
References
Chen X, Min D, Yasir TA, Hu YG (2012) Genetic diversity, population structure and linkage disequilibrium in elite Chinese winter wheat investigated with SSR markers. PLoS One 7:e44510. https://doi.org/10.1371/journal.pone.0044510
Cingolani P, Platts A, le Wang L, Coon M, Nguyen T, Wang L, Land SJ, Lu X, Ruden DM (2012) A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6(2):80–92. https://doi.org/10.4161/fly.19695
Dadi H, Lee SH, Jung KS, Choi JW, Ko MS, Han YJ, Kim JJ, Kim KS (2012) Effect of population reduction on mtDNA diversity and demographic history of Korean cattle populations. Asian-Australas J Anim Sci 25(9):1223–1228. https://doi.org/10.5713/ajas.2012.12122
Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE (2011) 1000 Genomes Project Analysis Group (2011), The variant call format and VCFtools. Bioinformatics 27(15):2156–2158. https://doi.org/10.1093/bioinformatics/btr330
Dar AH, Kumar S, Mukesh M, Ahmad SF, Singh DV, Sharma RK, Ghosh AK, Singh B, Rahman JU, Sodhi M (2020) Genetic characterization and population structure of different coat colour variants of Badri cattle. Mol Biol Rep. https://doi.org/10.1007/s11033-020-05890-w
Dar AH, Kumar S, Sodhi M, Rahman JU, Yadav S, Baba NA (2022) Physical and morphometric characterisation of Badri cattle. J Anim Res 12(02):01–05
Earl DA, vonHoldt BM (2012) Structure harvester: a website and program for visualizing structure output and implementing the Evanno method. Conserv Genet Resour 4:359–361. https://doi.org/10.1007/s12686-011-9548-7
Eigel WN, Butler JE, Ernstrom CA, Farrell HM, Harwalkar VR, Jenness R, Whitney R (1984) Nomenclature of proteins of cow’s milk. J Dairy Sci 67:1599–1631. https://doi.org/10.3168/jds.S0022-0302(84)81485-X
Iqbal N, Liu X, Yang T, Huang Z, Hanif Q, Asif M, Khan QM, Mansoor S (2019) Genomic variants identified from whole-genome resequencing of indicine cattle breeds from Pakistan. PLoS One 14(4):e0215065. https://doi.org/10.1371/journal.pone.0215065
Landi N, Ragucci S, Di Maro A (2021) Amino acid composition of milk from cow, sheep and goat raised in Ailano and Valle Agricola, two localities of ‘Alto Casertano’ (Campania Region). Foods 10(10):2431. https://doi.org/10.3390/foods10102431
Langmead B, Salzberg SL (2012) Fast gapped-read alignment with bowtie 2. Nat Methods 9(4):357. https://doi.org/10.1038/nmeth.1923
Larcombe SD, Kolte SW, Ponnudurai G et al (2019) The impact of tick-borne pathogen infection in Indian bovines is determined by host type but not the genotype of Theileria annulata. Infect Genet Evol. https://doi.org/10.1016/j.meegid.2019.103972
Li H, Handsaker B, Wysoker A et al (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25(16):2078–2079. https://doi.org/10.1093/bioinformatics/btp352
Lwin M, Mon SLY, Nagano Y, Kawabe K, Mannen H, Kamoto S, Shimogiri T (2018) Genetic diversity of Myanmar cattle breeds using complete mitochondrial D-loop sequence. J Anim Genet 46:57–67
Masharing N, Sodhi M, Chanda D, Singh I, Vivek P, Tiwari M, Kumari P, Mukesh M (2023) ddRAD sequencing based genotyping of six indigenous dairy cattle breeds of India to infer existing genetic diversity and population structure. Sci Rep 13:9379. https://doi.org/10.1038/s41598-023-32418-6
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A et al (2010) The genome analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20:1297–1303. https://doi.org/10.1101/gr.107524.110
Nayee N, Sahana G, Gajjar S et al (2018) Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses. J Anim Breed Genet 135:432–441. https://doi.org/10.1111/jbg.12356
Nei M (1972) Genetic distance between populations. Am Nat 106(949):283–292
Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295. https://doi.org/10.1093/bioinformatics/bts460
Peterson BK, Weber JN, Kay EH, Fisher HS, Hoekstra HE (2012) Double Digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species. PLoS One 7:e37135. https://doi.org/10.1371/journal.pone.0037135
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959. https://doi.org/10.1093/genetics/155.2.945
Rafiq S, Huma N, Pasha I, Sameen A, Mukhtar O, Khan MI (2016) Chemical composition, nitrogen fractions and amino acids profile of milk from different animal species. Asian-Australas J Anim Sci 29(7):1022–1028. https://doi.org/10.5713/ajas.15.0452
Rahman JU, Kumar D, Singh SP, Shahi BN, Ghosh AK, Verma MK, Pathak A, Dar AH, Sharma RK, Kumar A (2023) Genome-wide identification and annotation of SNPs and their mapping in candidate genes related to milk production and fertility traits in Badri cattle. Trop Anim Health Prod 55:117. https://doi.org/10.1007/s11250-023-03535-1
Rahman J, Kumar D, Shahi BN, Ghosh AK, Singh SP, Sharma RK, Kumar A, Singh S (2021) Assessment of non-genetic factors affecting production and reproduction traits in Badri cattle. J Anim Res 11(3):375–380. https://doi.org/10.30954/2277-940X.03.2021.5
Salem SA, El-Agamy EI, Salama FA, Abo-Soliman NH (2009) Isolation, molecular and biochemical characterization of goat milk casein and its fractions. Trop Subtrop Agroecosyst 11:29–35
Sambrook J, Russell DW (2006) Purification of nucleic acids by extraction with phenol: chloroform. CSH Protoc. https://doi.org/10.1101/pdb.prot4455
Shamsia SM (2009) Nutritional and therapeutic properties of camel and human milks. Int J Genet.Mol Biol 1:52–58. https://academicjournals.org/article/article1379512771_Shamsia.pdf
Stancheva N, Naydenova N, Staikova G (2011) Physicochemical composition, properties, and technological characteristics of sheep milk from the Bulgarian dairy synthetic population. Macedonian J Anim Sci 1:73–76
Tajima F (1989) Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123(3):585–595. https://doi.org/10.1093/genetics/123.3.585
Zoric M, Dodig D, Kobiljski B, Quarrie S, Barnes J (2012) Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. Genetica 140:259–275. https://doi.org/10.1007/s10709-012-9677-2
Acknowledgements
The authors are thankful to the Director of Research, Dean, College of Veterinary and Animal Sciences and Dean, PGS, G B Pant University of Agriculture and Technology and Director and Veterinary Officer Animal Breeding Farm, Champawat for providing the essential facilities for conducting this study.
Funding
Financial support for this study was provided by the Department of Biotechnology, New Delhi, under Project No. 8002, titled North-Western Himalayan Bioinformatics Grid. The first author was the recipient of an SRF fellowship from the Indian Council of Agricultural Research-New Delhi.
Author information
Authors and Affiliations
Contributions
JUR, DK, SPS, BNS, AKG and AK conceived and designed the study; JUR, AP, and MKV collected blood samples; JUR conducted experiments, bioinformatic analysis and drafted manuscript’ AHD, and SFA provided critical inputs during the data analysis and manuscript preparation.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare there is no conflict of interest regarding the current study and its publication.
Research involving human participants and/or animals
The authors state that all methods were performed in accordance with the relevant ARRIVE guidelines and regulations. Also, all the procedures were approved and completed in compliance with the Institutional Animal Ethics Committee (IAEC) of G.B. Pant University of Agriculture & Technology (GBPUAT), Pantnagar vide No. IAEC/CVASc/VPT/452.
Informed consent
Not applicable.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Rahman, J.U., Kumar, D., Singh, S.P. et al. Genetic diversity, population structure analysis and codon substitutions of Indicine Badri cattle using ddRAD sequencing. 3 Biotech 14, 46 (2024). https://doi.org/10.1007/s13205-023-03894-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13205-023-03894-4