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Bhambara AK, Singh A, Sahajpal V, Thakur M, Bhandari D, Sharma S, Thakar MK. Evaluation of genetic polymorphisms at 21 autosomal STR loci in Ramgharia Sikh population of Punjab, India. Ann Hum Biol 2022; 49:263-268. [PMID: 36129820 DOI: 10.1080/03014460.2022.2126888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND STR (Short Tandem Repeat) markers are highly polymorphic markers, which are widely used in forensics DNA analysis and aid to ascertain unique genotype profiles of individuals and determine the genetic diversity of the given population. AIM In the present study, an attempt has been made to evaluate the population genetic diversity of the Ramgharia Sikh population of Punjab, India, using 21 autosomal STR loci (D3S1358, vWA, D16S539, CSF1PO, TPOX, D8S1179, D21S11, D18S51, D2S441, D19S433, TH01, FGA, D22S1045, D5S818, D13S317, D7S820, SE33, D10S1248, D1S1656, D12S391, and D2S1338) to augment the emerging forensic database related to the indigenous population of India. SUBJECTS AND METHODS For generation of the database, 200 (blood on FTA card) samples were obtained from genetically unrelated Ramgharia Sikhs residing in the state of Punjab. Twenty-one autosomal STR markers were analysed using the Globalfiler® PCR amplification kit. RESULTS With the help of various statistical tools, a total of 232 alleles were observed and 11.048 ± 1.284 (mean ± standard deviation) alleles per locus were recorded. No locus deviated from Hardy Weinberg Equilibrium. SE33 locus was found to be the most polymorphic and exhibited the highest discrimination power, that is, 0.99. Moreover, results further indicated that Ramgharia Sikhs of Punjab showed a high affinity with Bhils of Madhya Pradesh (India). Thus, the studied population showed genetic proximity with the geographically close populations of India and showed significant genetic variations with distant populations, which was evident from the UPGMA tree and Principal Component Analysis plot. CONCLUSION Overall, the 21 autosomal STRs were found to be polymorphic in the Ramgharia population and suitable for forensic casework and studies on population genetics.
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Affiliation(s)
| | | | - Vivek Sahajpal
- Directorate of Forensics Services, State Forensic Science Laboratory, Shimla, India
| | - Mukesh Thakur
- Zoological Survey of India, New Alipore, Kolkata, India
| | - Deepika Bhandari
- Directorate of Forensics Services, State Forensic Science Laboratory, Shimla, India
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Isukapatla AR, Sinha M, Pulamagatta V, Chandrasekar A, Ahirwar B. Genetic Architecture of Southeast-coastal Indian tribal populations: A Y-chromosomal phylogenetic analysis. EGYPTIAN JOURNAL OF FORENSIC SCIENCES 2019. [DOI: 10.1186/s41935-019-0132-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Yadav B, Balayan A, Dogra TD, Raina A. Genetic Ancestry of Delhi Population Inferred from Autosomal Short Tandem Repeats: Genetic Diversity Analysis. INT J HUM GENET 2018. [DOI: 10.1080/09723757.2017.1421440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Bhuvnesh Yadav
- Amity School of Applied Sciences, Amity University, Gurgaon, Haryana
| | - Ajay Balayan
- DNA Fingerprinting Laboratory, Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, New Delhi, India
| | - T. D. Dogra
- Shree Guru Gobind Singh Tricentenary University, Budhera, Gurgaon, Haryana, India
| | - Anupuma Raina
- DNA Fingerprinting Laboratory, Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, New Delhi, India
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Shrivastava P, Jain T, Trivedi VB. Structure and genetic relationship of five populations from central India based on 15 autosomal STR loci. Ann Hum Biol 2016; 44:74-86. [DOI: 10.3109/03014460.2016.1151932] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Pankaj Shrivastava
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Government of MP, Sagar-470001, India
| | - Toshi Jain
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Government of MP, Sagar-470001, India
| | - Veena Ben Trivedi
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Government of MP, Sagar-470001, India
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Shrivastava P, Jain T, Trivedi VB. Genetic polymorphism study at 15 autosomal locus in central Indian population. SPRINGERPLUS 2015; 4:566. [PMID: 26543701 PMCID: PMC4627979 DOI: 10.1186/s40064-015-1364-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 09/21/2015] [Indexed: 11/21/2022]
Abstract
The analysis of 15 autosomal STR locus (TH01, D3S1358, vWA, D21S11, TPOX, D7S820, D19S433, D5S818, D2S1338, D16S539, CSF1PO, D13S317, FGA, D18S51, D8S1179) was done in 582 healthy unrelated individuals (Male-366, Female-216) originating from the various geographical regions of Madhya Pradesh, India. All locus fall under Hardy-Weinberg equilibrium except TPOX. These STR loci were highly informative and discriminating with combined power of discrimination (CPD) >0.99999. Locus wise allele frequencies of the studied population were compared with the other published populations. Also the Clustering pattern and genetic distance of studied populations is compared and presented with various populations. The studied population showed the genetic proximity with geographically close populations of India and significant genetic variation with distant populations which is also evident by clustering pattern of the NJ tree and the PCA plot.
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Affiliation(s)
- Pankaj Shrivastava
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Govt. of MP, Sagar, 470001 India
| | - Toshi Jain
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Govt. of MP, Sagar, 470001 India
| | - Veena Ben Trivedi
- DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Govt. of MP, Sagar, 470001 India
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Kang L, Li S, Gupta S, Zhang Y, Liu K, Zhao J, Jin L, Li H. Genetic structures of the Tibetans and the Deng people in the Himalayas viewed from autosomal STRs. J Hum Genet 2010; 55:270-7. [DOI: 10.1038/jhg.2010.21] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Kashyap VK, Guha S, Sitalaximi T, Bindu GH, Hasnain SE, Trivedi R. Genetic structure of Indian populations based on fifteen autosomal microsatellite loci. BMC Genet 2006; 7:28. [PMID: 16707019 PMCID: PMC1513393 DOI: 10.1186/1471-2156-7-28] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2005] [Accepted: 05/17/2006] [Indexed: 11/21/2022] Open
Abstract
Background Indian populations endowed with unparalleled genetic complexity have received a great deal of attention from scientists world over. However, the fundamental question over their ancestry, whether they are all genetically similar or do exhibit differences attributable to ethnicity, language, geography or socio-cultural affiliation is still unresolved. In order to decipher their underlying genetic structure, we undertook a study on 3522 individuals belonging to 54 endogamous Indian populations representing all major ethnic, linguistic and geographic groups and assessed the genetic variation using autosomal microsatellite markers. Results The distribution of the most frequent allele was uniform across populations, revealing an underlying genetic similarity. Patterns of allele distribution suggestive of ethnic or geographic propinquity were discernible only in a few of the populations and was not applicable to the entire dataset while a number of the populations exhibited distinct identities evident from the occurrence of unique alleles in them. Genetic substructuring was detected among populations originating from northeastern and southern India reflective of their migrational histories and genetic isolation respectively. Conclusion Our analyses based on autosomal microsatellite markers detected no evidence of general clustering of population groups based on ethnic, linguistic, geographic or socio-cultural affiliations. The existence of substructuring in populations from northeastern and southern India has notable implications for population genetic studies and forensic databases where broad grouping of populations based on such affiliations are frequently employed.
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Affiliation(s)
- VK Kashyap
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700014, West Bengal, India
- National Institute of Biologicals, A-32, Sector 62, Institutional Area, Noida 201307, Uttar Pradesh, India
| | - Saurav Guha
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700014, West Bengal, India
| | - T Sitalaximi
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700014, West Bengal, India
| | - G Hima Bindu
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700014, West Bengal, India
| | - Seyed E Hasnain
- Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, Andhra Pradesh, India
| | - R Trivedi
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700014, West Bengal, India
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Gaikwad S, Vasulu TS, Kashyap VK. Microsatellite diversity reveals the interplay of language and geography in shaping genetic differentiation of diverse Proto-Australoid populations of west-central India. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2006; 129:260-7. [PMID: 16323197 DOI: 10.1002/ajpa.20283] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Microsatellite diversity was analyzed in four Proto-Australoid tribes, including Indo-European (Marathi)-speaking Katkari, Pawara, Mahadeo-Koli, and Dravidian (Gondi)-speaking groups of Maharashtra, west-central India, to understand their genetic structure and to identify the congruence between language and gene pool. Allele frequency data at 15 short tandem repeat (STR) loci in studied tribes was compared with data of 22 Indo-European- and Dravidian-speaking caste and tribal populations using heterozygosity, allele size variance, analysis of molecular variance (AMOVA), G(ST) estimate, PC plot, and Mantel correlation test. Our results demonstrate that "Gondi" tribes comprising the Madia-Gond, a hunter-gatherer population, and the agriculturist Dheria-Gond harbor lower diversity than "Marathi" tribal groups, which are culturally and genetically distinct. Katkari, a hunter-gatherer tribe, showed greater diversity and the presence of a large number of unique alleles, genetically distinct from all others except the Pawara, supporting their old cultural links. The agriculturist Pawara tribe represents a splinter subgroup of the Bhil tribe and has experienced gene flow. The Mahadeo-Koli, an agriculturally oriented tribe, displayed significant heterozygote deficiency, attributable to the practice of high endogamy. The Proto-Australoid tribal populations were genetically differentiated from castes of similar morphology, suggesting different evolutionary mechanisms operating upon the populations. The populations showed genetic and linguistic similarity, barring a few groups with varied migratory histories. The microsatellite variation clearly demonstrates the interplay of sociocultural factors including linguistic, geographical contiguity, and microevolutionary processes in shaping the genetic diversity of populations in contemporary India. This study supports the ethno-historical relationships of Indian populations.
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Affiliation(s)
- Sonali Gaikwad
- DNA Typing Unit, Central Forensic Science Laboratory, Kolkata 700014, India
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Sahoo S, Kashyap VK. Influence of language and ancestry on genetic structure of contiguous populations: a microsatellite based study on populations of Orissa. BMC Genet 2005; 6:4. [PMID: 15694006 PMCID: PMC549189 DOI: 10.1186/1471-2156-6-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2004] [Accepted: 02/05/2005] [Indexed: 11/24/2022] Open
Abstract
Background We have examined genetic diversity at fifteen autosomal microsatellite loci in seven predominant populations of Orissa to decipher whether populations inhabiting the same geographic region can be differentiated on the basis of language or ancestry. The studied populations have diverse historical accounts of their origin, belong to two major ethnic groups and different linguistic families. Caucasoid caste populations are speakers of Indo-European language and comprise Brahmins, Khandayat, Karan and Gope, while the three Australoid tribal populations include two Austric speakers: Juang and Saora and a Dravidian speaking population, Paroja. These divergent groups provide a varied substratum for understanding variation of genetic patterns in a geographical area resulting from differential admixture between migrants groups and aboriginals, and the influence of this admixture on population stratification. Results The allele distribution pattern showed uniformity in the studied groups with approximately 81% genetic variability within populations. The coefficient of gene differentiation was found to be significantly higher in tribes (0.014) than caste groups (0.004). Genetic variance between the groups was 0.34% in both ethnic and linguistic clusters and statistically significant only in the ethnic apportionment. Although the populations were genetically close (FST = 0.010), the contemporary caste and tribal groups formed distinct clusters in both Principal-Component plot and Neighbor-Joining tree. In the phylogenetic tree, the Orissa Brahmins showed close affinity to populations of North India, while Khandayat and Gope clustered with the tribal groups, suggesting a possibility of their origin from indigenous people. Conclusions The extent of genetic differentiation in the contemporary caste and tribal groups of Orissa is highly significant and constitutes two distinct genetic clusters. Based on our observations, we suggest that since genetic distances and coefficient of gene differentiation were fairly small, the studied populations are indeed genetically similar and that the genetic structure of populations in a geographical region is primarily influenced by their ancestry and not by socio-cultural hierarchy or language. The scenario of genetic structure, however, might be different for other regions of the subcontinent where populations have more similar ethnic and linguistic backgrounds and there might be variations in the patterns of genomic and socio-cultural affinities in different geographical regions.
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Affiliation(s)
- Sanghamitra Sahoo
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30, Gorachand Road, Kolkata-700 014 India
| | - VK Kashyap
- National DNA Analysis Centre, Central Forensic Science Laboratory, 30, Gorachand Road, Kolkata-700 014 India
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Kashyap VK, Ashma R, Gaikwad S, Sarkar BN, Trivedi R. Deciphering diversity in populations of various linguistic and ethnic affiliations of different geographical regions of India: Analysis based on 15 microsatellite markers. J Genet 2004; 83:49-63. [PMID: 15240909 DOI: 10.1007/bf02715829] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The extent of genetic polymorphism at fifteen autosomal microsatellite markers in 54 ethnically, linguistically and geographically diverse human populations of India was studied to decipher intrapopulation diversity. The parameters used to quantify intrapopulation diversity were average allele diversity, average heterozygosity, allele range (base pairs), and number of alleles. Multilocus genotype frequencies calculated for selected populations were utilized for testing conformity with the assumption of Hardy-Weinberg equilibrium. The exact test values, after Bonferroni correction, showed significant deviation amongst Gowda (vWA, Penta E); Dhangar, Satnami and Gounder (D8S1179); Hmar (FGA); Kuki and Balti (vWA) groups. Relatively low number of alleles and allelic diversity (base-pairs size) had been observed in populations of central India as compared with southern and northern regions of the country. The communities of Indo-Caucasoid ethnic origin and Indo-European linguistic family (Kshatriya of Uttar Pradesh) showed highest allelic diversity, as well as rare alleles, not reported in any other Indian populations. Analysis based on average heterozygosity was also found to be lowest among the populations of central India (0.729) and highest among the populations from north (0.777) and west (0.784) regions of the country, having Indo-Caucasoid ethnic origin and Austro-Asiatic linguistic affiliation. The maximum power of discrimination (85%-89%) had been observed at loci FGA, Penta E, D18S51 and D21S11, suggested high intrapopulation diversity in India. Genetic diversity revealed by STR markers was consistent with the known demographic histories of populations. Thus, the present study clearly demonstrated that the intrapopulation diversity is not only present at the national level, but also within smaller geographical regions of the country. This is the first attempt to understand the extent of diversity within populations of India at such a large scale at genomic level.
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Affiliation(s)
- V K Kashyap
- DNA Typing Unit, Central Forensic Science Laboratory, 30 Gorachand Road, Kolkata 700 014, India.
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Ashma R, Kashyap VK. Genetic profile based upon 15 microsatellites of four caste groups of the eastern Indian state, Bihar. Ann Hum Biol 2003; 30:570-8. [PMID: 12959898 DOI: 10.1080/0301446032000112670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND The formation of caste groups among the Hindu community and the practice of endogamy exert a great impact on the genetic structure and diversity of the Indian population. Allele frequency data of 15 microsatellite loci clearly portray the genetic diversity and relatedness among four socio-culturally advanced caste groups: Brahmin, Bhumihar, Rajput and Kayasth of Caucasoid ethnicity of Bihar. AIM The study seeks to understand the impact of the man-made caste system on the genetic profile of the four major caste groups of Bihar. METHODS AND PROCEDURE Computation of average heterozygosity, most frequent allele, allele diversity and coefficient of gene differentiation (Gst), along with genetic distance (DA)and principal coordinate analysis were performed to assess intra-population and inter-population diversity. MAIN OUTCOMES AND RESULTS The average Gst value for all the loci was 0.012 +/- 0.0033, and the level of average heterozygosity was approximately 75.5%, indicating genetic similarity and intra-population diversity. Genetic distance (DA) values and the phylogenetic tree along with other higher caste groups of India indicate the relative distance between them. CONCLUSION The present study clearly depicts the genetic profile of these caste groups, their inherent closeness in the past, and the impact of the imposed caste system that later restricted the gene flow. The study highlights the status of Bhumihar and Kayasth in the Hindu caste system. The former was found clustering with the Brahmin group (as expected, since Bhumihar is known to be a subclass of Brahmin), whereas the distance between the Brahmin and Kayasth caste groups was found to be large. North-eastern Indian Mongoloids form a separate cluster.
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Affiliation(s)
- R Ashma
- DNA Typing Unit, Central Forensic Science Laboratory, West Bengal, India
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