Biological distance at the Ryan Mound site

Weiss, Elizabeth

doi:10.1002/ajpa.23392

Cited by 8 publications

(15 citation statements)

References 73 publications

(121 reference statements)

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“…The biological divergence between each pair of samples was estimated using the modified Smith's mean measure of divergence (MMD) (Sjøvold, 1973). This method was successfully used for an inter-sample comparisons of nonmetric trait frequencies (e.g., Berry & Berry, 1967;Ossenberg, 1986;Dodo et al, 1998;Irish, 1998Irish, , 2006Irish, , 2010Hanihara et al, 2003;Sutter & Mertz, 2004;Ossenberg et al, 2006; Nikita et al, 2012;Movsesian et al, 2014;Weiss, 2018). The effectiveness of the MMD has been demonstrated by Irish (2010), who conducted inter-sample comparisons of the MMD with the other most common dissimilarity measure used for nonmetric traits-the Mahalanobis D 2 statistic.…”

Section: Cranial Nonmetric Traitsmentioning

confidence: 99%

Infracranial versus cranial nonmetric traits and mtDNA data in the study of genetic divergence of human populations

Movsesian

Vagner-Sapukhina

2021

Intl J of Osteoarchaeology

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Although cranial and dental nonmetric traits have proven to be reliable proxies for genetic data, the usefulness of infracranial nonmetric traits as phenetic markers in population affinity studies remains unclear. Our aim was to analyze infracranial and cranial nonmetric trait frequencies in the same samples in comparison with genetic data to determine the value of infracranial nonmetric traits in assessing genetic relationships among populations. We examined the frequencies of 25 cranial and 16 infracranial nonmetric traits in seven adult osteological samples from different regions of northern Eurasia (northern Russians, indigenous populations of Volga-Ural region, Buryats, and Yupik) and the data on mitochondrial DNA polymorphisms in the same ethnic groups. The biological distance between each pair of samples was estimated using the Smith's mean measure of divergence (MMD) for nonmetric traits and Cavalli-Sforza distance measure for mtDNA data. Mantel correlations were calculated between two matrices of mean measures of divergence (MMD) distances, and a multidimensional scaling (MDS) procedure was applied to each matrix. The Mantel test showed a strong correlation between the two nonmetric distance matrices. The three-dimensional spatial representations of each matrix revealed similar patterns of intergroup differences. On both nonmetric MDS maps, the sample locations roughly reflected the geographic separation of the groups, with the exception of northern Russians, who were grouped with Volga-Ural populations.Comparison of our results with those obtained from genetic data confirmed that both sets of nonmetric traits provide reliable genetic affinities among the samples. The association of northern Russians with the Volga-Ural groups can be explained by their genetic background. Our findings show that infracranial nonmetric traits can be successfully used as phenetic markers to define a population's affinity and divergence, particularly in cases where only infracranial bones are available for study.

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Section: Cranial Nonmetric Traitsmentioning

confidence: 99%

Infracranial versus cranial nonmetric traits and mtDNA data in the study of genetic divergence of human populations

Movsesian

Vagner-Sapukhina

2021

Intl J of Osteoarchaeology

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“…Ïîëó÷åííûå ðåçóëüòàòû ñîãëàñóþòñÿ ñ äàííûìè àíàëèçà äðåâíåé ÄÍÊ, óêàçûâàþùèìè íà ñòàáèëüíîñòü ãåíîôîíäà äðåâíåãî íàñåëåíèÿ Àðìåíèè [Harutyunyan et al, 2009;Herrera et al, 2012;Hovhannisyan et al, 2014;Allentoft et al, 2015;Yepiskoposyan et al, 2016;Haber et al, 2016;Margaryan et al, 2017;Derenko et al, 2019]. Îäíàêî ñîãëàñíî íåêîòîðûì äàííûì ìîëåêóëÿðíîé ãåíåòèêè, ôîðìèðîâàíèå àðìÿíñêîãî ãåíîôîíäà ïðîèçîøëî â ðåçóëüòàòå ñìåøåíèÿ ìåaeäó íåîëèòè÷åñêèìè ïðåäêàìè è íåêîòîðûìè åâðàçèéñêèìè ïîïóëÿöèÿìè â ïåðèîä ñ III ïî II òûñÿ÷åëåòèå äî í.ý.…”

Section: материалы и методыunclassified

“…Ôåíåòè÷åñêèå ðàññòîÿíèÿ ìåaeäó ïîïóëÿöèÿìè ðàññ÷èòûâàëèñü ñ ïîìîùüþ ìåðû MMD (Mean Measure of Divergence), ìîäèôèöèðîâàííîé Øëâàëäîì [Sjovold, 1973]. Ýòîò ìåòîä íåîäíîêðàòíî è óñïåøíî èñïîëüçîâàëñÿ äëÿ ñðàâíåíèÿ ïîïóëÿöèé ïî ÷àñòîòàì äèñêðåòíî-âàðüèðóþùèõ ïðèçíàêîâ [Berry, Berry, 1967;Ossenberg, 1986;Dodo et al, 1998;Irish, 1998Irish, , 2006Hanihara et al, 2003;Hallgrimsson et al, 2004;Sutter, Mertz, 2004;Ossenberg et al, 2006;Nikita et al, 2012;Movsesian et al, 2014;Weiss, 2018]. ×àñòîòû ïðèçíàêîâ îïðåäåëÿëèñü èç ðàñ÷åòà íà ÷åðåï: åñëè áèëàòåðàëüíûé ïðèçíàê áûë íàéäåí íà îäíîé ñòîðîíå ÷åðåïà, îí îòìå÷àëñÿ êàê ïðèñóòñòâóþùèé.…”

Section: материалы и методыmentioning

confidence: 99%

Ancient population of the Lake Sevan basin (paleophenetic analysis)

Mkrtchyan¹,

Movsesian²

2020

MUAB

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Â äðåâíîñòè, â ñèëó ñâîåãî ãåîãðàôè÷åñêîãî ïîëîaeåíèÿ, Àðìÿíñêîå íàãîðüå èãðàëî âàaeíóþ ðîëü â îñóùåñòâëåíèè ñëîaeíûõ êóëüòóðíûõ êîíòàêòîâ ìåaeäó Âîñòîêîì è Çàïàäîì, Ñåâåðîì è Þãîì. Ïåðåõîä íàñåëåíèÿ Åâðàçèè â áðîíçîâûé âåê, ñîïðîâîaeäàåìûé îáøèðíûìè ìèãðàöèÿìè è êóëüòóðíûìè èííîâàöèÿìè, îêàçàë áîëüøîå âëèÿíèå íà ýòíè÷åñêóþ èñòîðèþ ñîâðåìåííûõ íàðîäîâ ýòîãî ðåãèîíà [Anthony, 2007]. Äàëüíèå ìèãðàöèè è ãåíåòè÷åñêèå êîíòàêòû ìåaeäó êî÷åâûìè ãðóïïàìè ðåçêî èçìåíèëè íå òîëüêî êóëüòóðíûå òðàäèöèè,

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“…Due to its size, the population of CA-ALA-329 has been studied extensively ranging from studies on health indicators such as anemia (Nechayev 2007), osteoporosis (Atwood, 20008), osteoarthritis (Weiss, 2006) to indications of interpersonal violence (Jurmain et al, 2009), skeletal muscle markers (Weiss, 2007), biological continuity (Weiss, 2018), and even stable isotopic analysis (Bartelink, 2006;Sullivan, 2018). In 2007, Nechayev conducted research on health indicators in the skeletal assemblage.…”

Section: Ca-ala-329mentioning

confidence: 99%

“…The results infer that female diets were consistent with a matrilocal pattern throughout time in the Middle and Late Phase 1 Periods with a decrease in the Late Phase 2 Period, likely due to overpopulation and stresses imposed by Spanish colonization (Sullivan, 2018). In a study conducted on biological continuity within the collection, Weiss (2018) (1986), and others (see Leventhal, 1993). Sixty left femora and eighteen right femora were included within the study.…”

Section: Ca-ala-329mentioning

confidence: 99%

Mobility Through Droughts

Luce

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This thesis aims to infer mobility patterns in the California prehistoric burial population of CA-ALA-329 (Ryan Mound) by conducting cross-sectional analysis on femoral bones. CA-ALA-329 is considered to be a burial ground used by precontact Ohlone natives in the San Francisco Bay Area. Glacial changes, pollen studies, and tree-ring data show shifts in climate change occurred during the Late Phase 1 Period, causing warmer and drier temperatures throughout California. Seventy-seven femora were analyzed in this study including 26 femora representing the Middle Period and 51 representing the Late Phase 1 Period. Cross-sectional geometric formulae were applied to measurements collected at the subtrochanteric and midshaft regions on each femora. Two second moments of area, Ix and Iy, were calculated and ratios were used to determine where mechanical stress was placed as a result of stress and strain. Supporting data, such as polar moment of area, cortical area, and total area, were calculated, but not standardized for body size. Results of the study demonstrated significant changes in mobility over time. Anteroposterior robusticity in the subtrochanteric region decreased from the Middle Period to the Late Phase 1 Period in males, and increased in females. Anteroposterior robusticity in the midshaft region increased in males from the Middle Period to the Late Phase 1 Period, and decreased with females. These findings suggest a shift in mobility between the two time periods.

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Biological distance at the Ryan Mound site

Cited by 8 publications

References 73 publications

Infracranial versus cranial nonmetric traits and mtDNA data in the study of genetic divergence of human populations

Infracranial versus cranial nonmetric traits and mtDNA data in the study of genetic divergence of human populations

Ancient population of the Lake Sevan basin (paleophenetic analysis)

Mobility Through Droughts

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