Genomic blueprint of population of Rajasthan based on autosomal STR markers

Kumawat, R. K.; Shrivastava, Pankaj; Shrivastava, Divya; Mathur, G.K.; Dixit, Shivani

doi:10.1080/03014460.2019.1705390

Cited by 28 publications

(5 citation statements)

References 17 publications

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“…Reference samples of the case were directly subjected to amplification as done in our previous studies [7]. Quantity analysis of the isolated DNA was performed with the help of QuantifilerTM Trio quantification kit (Thermo Fisher Scientific, CA, USA-Thermo) on Quant Studio 5 system (Thermo).…”

Section: Methodsmentioning

confidence: 99%

Maternal allele mutation: Slippage synthesis furnishing evolutionary trend

Kumar¹,

Kumar²,

Kumawat³

et al. 2021

GSC Biol. and Pharm. Sci.

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Gain or loss of repeat motifs leads to an allelic mismatch in the disputed child which is a deviation from the Mendelian inheritance, thereby leading to a paternal mismatch of putative father or exclusion of mother in case of maternal allelic mismatch. This allelic mismatch at one or more loci is a major cause of forensic inferences. The biological samples of the case were genotyped using Powerplex®- Fusion 5C system kit and Investigator® Argus X-12 QS kit as per recommendations of the manufacturer. In this case, identification of a putrefied dead body with 22 autosomal STR loci, primarily analyzed by Powerplex®- Fusion 5C system kit divulged a maternal mismatch at locus D13S317. Alleles at the locus D13S317 allegedly belonging to the father of the deceased and the mother were observed as 10/11, 11/11 and 10/10 respectively. To rule out allelic mismatch at this particular locus, 12 X-STR loci were amplified, in which all the maternal alleles of deceased completely matched with the mother. This case study indicates the extension of one microsatellite repeat motif (TATC) at locus D13S317 in the population of Rajasthan. The reported mutation rate was 0.14% and 0.04% at locus D13S317 in paternal and maternal meiosis respectively.

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Section: Methodsmentioning

confidence: 99%

Maternal allele mutation: Slippage synthesis furnishing evolutionary trend

Kumar¹,

Kumar²,

Kumawat³

et al. 2021

GSC Biol. and Pharm. Sci.

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“…A neighbour joining (NJ) tree (Fig. 2 a) based on the Nei's genetic distance, constructed using POPTREE-2 software, was used to investigate the genetic affinity between the studied (admixed and Teli ) populations and the reported Indian populations namely, the Konkanastha Brahmins (Maharashtra) [ 22 ]; the Mahadev Kolis (Maharashtra) [ 22 ]; the Iyengars (Tamil Nadu) [ 22 ]; the Kurumans (Tamil Nadu) [ 22 ]; the Yerukulas (Andhra Pradesh) [ 23 ]; the Koras (West Bengal) [ 24 ]; the Baniyas (Punjab) [ 25 ]; the population of Jharkhand [ 26 ]; the population of Uttar Pradesh [ 27 ]; the population of Rajasthan [ 28 ]; the populations of Central India [ 29 ]; and the pooled populations belonging to the geographical boundaries of India [ 30 ]. The NJ tree revealed that the studied admixed and Teli populations of Maharashtra pooled into one cluster with the Konkanastha Brahmin s of Maharashtra and the Kurumans of Tamil Nadu.…”

Section: Main Textmentioning

confidence: 99%

A study of genomic diversity in populations of Maharashtra, India, inferred from 20 autosomal STR markers

et al. 2021

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Objective This study was planned to evaluate the genetic diversity in the admixed and Teli (a Hindu caste) populations of Maharashtra, India using 20 autosomal Short Tandem Repeat (STR) genetic markers. We further investigated the genetic relatedness of the studied populations with other Indian populations. Results The studied populations showed a wide range of observed heterozygosity viz. 0.690 to 0.918 for the admixed population and 0.696 to 0.942 for the Teli population. This might be due to the multi-directional gene flow. The admixed and Teli populations also showed a high degree polymorphism which ranged from 0.652 to 0.903 and 0.644 to 0.902, respectively. Their combined value of matching probability for all the studied loci was 4.29 × 10–25 and 5.01 × 10–24, respectively. The results of Neighbor-Joining tree and Principal Component Analysis showed that the studied populations clustered with the general populations of Jharkhand, UttarPradesh, Rajasthan and Central Indian States, as well as with the specific populations of Maharashtra (Konkanastha Brahmins) and Tamil Nadu (Kurmans). Overall, the obtained data showed a high degree of forensic efficacy and would be useful for forensic applications as well as genealogical studies.

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“…The genetic dataset of present study was compared with the dataset of reported indigenous populations viz., Balmiki (Punjab) 29 , Sakaldwipi Brahmin (Jharkhand) 29 , Konkanastha_Brahmin (Maharashtra) 29 , Iyengar (Tamilnadu) 29 , Kurumans (Tamilnadu) 29 , Munda (Jharkhand) 29 , Chenchu (Andhra Pradesh) 30 , Lambadi (Andhra Pradesh) 30 , Naikpod_Gond (Andhra Pradesh) 30 , Yerukula (Andhra Pradesh) 30 , Munda (Chotanagpur) 31 , Santal (Chotanagpur) 31 , Oraon (Chotanagpur) 31 , Lodha (Bengal) 32 , Kora (Bengal) 32 , Maheli (Bengal) 32 , Central Indian Population 33 , Gond (MP) 34 , Gond_2 (MP) 35 , Gond_1 (MP) 29 , Oraon (Chhattishgarh) 36 , Population of Jharkhand 37 , Jat Sikh (Punjab) 38 , Baniya (Punjab) 38 , Khatri (Punjab) 38 , Population of Uttar Pradesh 39 , Kahar population (UP) 40 , Himachal Pradesh Population 18 , Gorkhas 41 , Tamil Population (Tamil Nadu) 42 , Population of Rajasthan 43 , Population of Odisha 44 and Bhuiyan Population (Jharkhand) 45 ;and global populations namely; Manchu Population of China 46 , Han Population of Southern China 47 , Tibetan Population (Nepal) 48 , Kathmandu 49 , Tibet 49 , Newar 49 1).…”

Section: Genetic Data Of Reported Populations For Comparisonmentioning

confidence: 99%

Genomic Insight Into 21 Hypervariable Molecular Markers in The Population of Lower Himalayan Geographical Province Himachal Pradesh, India

Sharma

Srivast

Sahajpal

et al. 2021

Preprint

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A natural geographical barrier between Tibetan plateau and south Asian countries, the Himalayan Mountain range, serves as a natural barrier between these regions for genetic flow. This has lead to vast genomic divergence among the population residing in Indian Himalayan region..This study was designed with an aim to decipher the genomic diversity and molecular characterization of 21 hypervariable molecular markers in the population of geographical province of Himachal Pradesh in the lower Himalayan region. Randomly selected 401 unrelated individuals native of the lower Himalayan geographical region were included for this study. 21 hypervariable molecular markers included in the PowerPlex® 21 system were amplified and genotyped. A total of 246 alleles and 12.3 (SE 0.927) private alleles per locus were observed. Population differentiation analysis revealed that the studied population showed a genetic affinity with the population of North India, North-west India, Central India, and Uttar Pradesh rather than the population of East India, South India, East Asia, and West Asia. Heterozygosity at the studied loci was found in the range of 0.686 to 0.920. The unite discrimination power (PD) and exclusion power (PE) was found to be 1 and 0.999999998073765 respectively. The unite value of matching probability and typical paternity index was found to be 9.33x10-26 and 5.05x108 respectively for the studied population. All the tested loci were found in Hardy Weinberg Equilibrium (HWE) expectations. Overall the studied population exhibited a great extent of genomic diversity and had a greater genetic affinity with Indo-European speakers rather than Dravidian and Tibeto-Burman speakers.

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Genomic blueprint of population of Rajasthan based on autosomal STR markers

Cited by 28 publications

References 17 publications

Maternal allele mutation: Slippage synthesis furnishing evolutionary trend

Maternal allele mutation: Slippage synthesis furnishing evolutionary trend

A study of genomic diversity in populations of Maharashtra, India, inferred from 20 autosomal STR markers

Genomic Insight Into 21 Hypervariable Molecular Markers in The Population of Lower Himalayan Geographical Province Himachal Pradesh, India

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