Biological affinities between the migrant groups of fishermen of Puri Coast, Orissa, India

Reddy, B. Mohan; Chopra, Virendra P.; Mukherjee, Dilip

doi:10.1002/ajpa.1330740312

Cited by 13 publications

(10 citation statements)

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“…At Puri, the population sizes of the three groups are about 8000, 4000 and 800 respectively. More details of these populations, including their demographic structures and biological variations, can be found in Reddy (1984), Reddy, Chopra and Mukherjee (1987), Reddy, Chopra, Karmakar and Malhotra (1988) and Reddy, Chopra, Rodewaldt, Mukherjee and Malhotra (1989). Finger ridge-count data on 676 individuals, both male and female, of these groups were utilized for the present study.…”

Section: Methodsmentioning

confidence: 99%

Principal component of finger ridge-counts: their universality

Krishnan

1992

Annals of Human Biology

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A principal component analysis was carried out on radial and ulnar finger ridge-count data on a sample of fishermen of the sea coast of Puri in the state of Orissa in India. The component structure is very similar to that obtained earlier by Roberts and Coope for some English populations, by Arrieta and Lostao for a Basque population, by Siervogel et al. for a White American population, by Jantz and Hawkinson, and Jantz et al. for American and African populations, and by other authors for other populations. The initial components are bilaterally symmetric and the structure of these components is the same whether the two sides are taken separately or together. Only the latter components represent a certain amount of bilateral asymmetry. The first component is a 'size' component, indicating total finger ridge-count; the second component is a radial-ulnar contrast. From a comparison with previous studies on other populations, it appears that the component structure corresponding to the larger eigenvalues is fairly universal; there is a certain lack of universality in the structure of the components corresponding to smaller eigenvalues as well as in the order of these components, especially the rotated ones, when the corresponding eigenvalues are very close. As observed by previous authors, components corresponding to larger eigenvalues do not necessarily exhibit larger inter-population differences. However, there is lack of universality in the order of the components and in the structure of the components that exhibit large inter-population differences.

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Section: Methodsmentioning

confidence: 99%

Principal component of finger ridge-counts: their universality

Krishnan

1992

Annals of Human Biology

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“…Nevertheless, it is basically at this level of Mendelian units that the forces of evolution operate, and hence it is imperative to study microevolution among such populations. Many earlier attempts have been made to understand microdifferentiation among such populations using traditional markers as well as other biological variables (Karve and Malhotra 1968;Basu 1969;Malhotra 1978a and1978b;Malhotra et al 1978;Reddy et al 1987Reddy et al , 1989Reddy et al , 1995Murty et al 1993;Sirajuddin et al 1994;Ramana et al 1996). However, the resolving power of such markers is expected to be low and unreliable, especially at the level of endogamous subcastes.…”

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confidence: 99%

Genomic Diversity at Thirteen Short Tandem Repeat Loci in a Substructured Caste Population, Golla, of Southern Andhra Pradesh, India

Reddy¹,

Sun²,

Luis³

et al. 2001

Human Biology

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Genomic diversity based on 13 short tandem repeat (STR) loci was studied in seven population groups of a substructured Golla caste from Chittoor district in southern Andhra Pradesh, India. These groups are traditionally pastoral, culturally homogeneous, and strictly endogamous. Blood samples were drawn from 317 individuals from 30 Golla villages. The 13 STR loci analyzed in five standard multiplex polymerase chain reactions were: (1) CSF1R, TH01, and PLA2A; (2) F13A1, CYP19, and LPL; (3) D21S1446 and D21S1435; (4) D20S481, D20S473, and D20S604; and (5) D5S1453 and D6S1006. The average heterozygosity was found to be low among the Golla subgroups (0.64-0.70) in comparison to that of groups at the upper levels of the hierarchy. The coefficient of gene differentiation was found to be moderate (average G ST = 0.031; range between 0.018 and 0.049 among the loci) when compared to that observed for a similar class of markers among populations with relatively higher levels of hierarchy, for example, among castes. It is, however, much higher when compared to the average observed for Indian caste and tribal populations, based on classical markers. Genetic distance measures revealed clusters of populations that are consistent with the known ethnohistorical and geographical backgrounds of the groups. We claim that these hypervariable markers are quite useful in understanding the process of substructuring within the Indian castes, leading to the formation of smaller breeding isolates, the basic Mendelian units within which microevolutionary forces operate.One of the most remarkable features of the Indian population structure is its clear division into strictly defined endogamous groups. At the broadest level, the pop-

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“…Discordance in the pattern of population relationships based on dermatoglyphics and other biological variables, particularly serological and anthropometric, appears to be a rule rather than an exception (see Plato 1970;Chai 1972;Neel et al 1974;Crawford et al 1976;Jantz and Chopra 1983;Reddy et al 1987;Reddy et al 2000). Dermatoglyphic variables are considered to undergo slow rates of evolutionary change, hence are presumably less useful in depicting local level variations even at the level of different castes and tribes within a region (Rothhammer et al 1977;Rudan 1978;Jantz and Hawkinson 1979;Giles 1981a, 1981b;Reddy and Reddy 1992).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, there is a pressing need to understand this traditional population structure and study its role in shaping human biological diversity in India. In the past, many attempts have been made to understand the process of microdifferentiation among subdivided populations using traditional genetic markers (blood groups, red cell enzymes, and serum proteins) and other biological variables (Karve and Malhotra 1968;Basu 1969;Malhotra 1978aMalhotra , 1978bMalhotra et al 1978;Reddy and Chopra 1999;Reddy et al 1987Reddy et al , 1989Reddy et al , 1995Reddy et al , 2000Murty et al 1993;Sirajuddin et al 1994;Ramana et al 1996). However, with the realization that molecular genetic markers help answer questions pertaining to microevolution more precisely, and particularly after the development of rapid screening techniques using polymerase chain reaction (PCR), the focus has turned towards using these markers for resolving questions of both short-and long-term evolution of human populations.…”

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confidence: 99%

Population Substructure and Patterns of Quantitative Variation among the Gollas of Southern Andhra Pradesh, India

Reddy¹,

Pfeffer²,

Crawford³

et al. 2001

Human Biology

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Population substructure and biological differentiation was studied among the Golla, a pastoral caste living in the southern areas of Andhra Pradesh (AP) in India, using 11 anthropometric measurements and 20 quantitative dermatoglyphic variables. The data were collected from a sample of 334 adult males drawn from 30 villages distributed in the Chittoor district of AP, who belonged to 8 endogamous subunits of the same caste. Multiple discriminant analysis of the anthropometrics suggests a highly significant degree of discrimination that is consistent with the microgeographic variations of the groups. In contrast, in different sets of dermatoglyphs discrimination is low and generally inconsistent with both the geographic and ethnohistorical affiliations of the groups. These findings are reflected in the F ST value for anthropometry, which is more than double the value of dermatoglyphs. The patterns of gene flow as inferred through the regression of phenotypic variance on the distance of groups from the centroid is not generally consistent with the known backgrounds in the case of either dermatoglyphs or anthropometry. It is concluded that at the level of caste substructure representing the lowest level of population hierarchy, the quantitative variables examined here may not portray a complete picture of the historical process of subdivision. The results of this study are not in congruence with those based on another study of 13 short tandem repeat loci on the same set of populations (Reddy et al. 2001), which may provide better insights into the population structure and history of subdivision that are consistent with the known ethnohistorical backgrounds of the populations.India offers immense scope and a variety of situations to study the processes of population subdivision and their microevolutionary significance. India's population structure is remarkable in that the population is divided into a large number of strictly defined endogamous castes, tribes, and religious groups. However, most unique and fundamental to the Indian population structure is the existence

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Biological affinities between the migrant groups of fishermen of Puri Coast, Orissa, India

Cited by 13 publications

References 12 publications

Principal component of finger ridge-counts: their universality

Principal component of finger ridge-counts: their universality

Genomic Diversity at Thirteen Short Tandem Repeat Loci in a Substructured Caste Population, Golla, of Southern Andhra Pradesh, India

Population Substructure and Patterns of Quantitative Variation among the Gollas of Southern Andhra Pradesh, India

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