Jada Benn Torres1,2, Victoria Martucci3, Melinda C Aldrich3, Miguel G Vilar4,5, Taryn MacKinney4, Muhammad Tariq1,6, Jill B Gaieski4, Ricardo Bharath Hernandez7, Zoila E Browne8, Marlon Stevenson8, Wendell Walters8,9, Theodore G Schurr4. 1. Department of Anthropology, Vanderbilt University, Nashville, Tennessee. 2. Department of Anthropology, University of Notre Dame, Notre Dame, Indiana. 3. Department of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee. 4. Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania. 5. Science and Exploration, National Geographic Society, Washington, District of Columbia. 6. Department of Genetics, Hazara University, Mansehra, KP, Pakistan. 7. Santa Rosa First Peoples Community, Arima, Trinidad. 8. The Garifuna Heritage Foundation Inc., Kingstown, St. Vincent. 9. Sandy Bay Village, St. Vincent.
Abstract
OBJECTIVES: From a genetic perspective, relatively little is known about how mass emigrations of African, European, and Asian peoples beginning in the 16th century affected Indigenous Caribbean populations. Therefore, we explored the impact of serial colonization on the genetic variation of the first Caribbean islanders. MATERIALS AND METHODS: Sixty-four members of St. Vincent's Garifuna Community and 36 members of Trinidad's Santa Rosa First People's Community (FPC) of Arima were characterized for mitochondrial DNA and Y-chromosome diversity via direct sequencing and targeted SNP and STR genotyping. A subset of 32 Garifuna and 18 FPC participants were genotyped using the GenoChip 2.0 microarray. The resulting data were used to examine genetic diversity, admixture, and sex biased gene flow in the study communities. RESULTS: The Garifuna were most genetically comparable to African descendant populations, whereas the FPC were more similar to admixed American groups. Both communities also exhibited moderate frequencies of Indigenous American matrilines and patrilines. Autosomal SNP analysis indicated modest Indigenous American ancestry in these populations, while both showed varying degrees of African, European, South Asian, and East Asian ancestry, with patterns of sex-biased gene flow differing between the island communities. DISCUSSION: These patterns of genetic variation are consistent with historical records of migration, forced, or voluntary, and suggest that different migration events shaped the genetic make-up of each island community. This genomic study is the highest resolution analysis yet conducted with these communities, and provides a fuller understanding of the complex bio-histories of Indigenous Caribbean peoples in the Lesser Antilles.
OBJECTIVES: From a genetic perspective, relatively little is known about how mass emigrations of African, European, and Asian peoples beginning in the 16th century affected Indigenous Caribbean populations. Therefore, we explored the impact of serial colonization on the genetic variation of the first Caribbean islanders. MATERIALS AND METHODS: Sixty-four members of St. Vincent's Garifuna Community and 36 members of Trinidad's Santa Rosa First People's Community (FPC) of Arima were characterized for mitochondrial DNA and Y-chromosome diversity via direct sequencing and targeted SNP and STR genotyping. A subset of 32 Garifuna and 18 FPC participants were genotyped using the GenoChip 2.0 microarray. The resulting data were used to examine genetic diversity, admixture, and sex biased gene flow in the study communities. RESULTS: The Garifuna were most genetically comparable to African descendant populations, whereas the FPC were more similar to admixed American groups. Both communities also exhibited moderate frequencies of Indigenous American matrilines and patrilines. Autosomal SNP analysis indicated modest Indigenous American ancestry in these populations, while both showed varying degrees of African, European, South Asian, and East Asian ancestry, with patterns of sex-biased gene flow differing between the island communities. DISCUSSION: These patterns of genetic variation are consistent with historical records of migration, forced, or voluntary, and suggest that different migration events shaped the genetic make-up of each island community. This genomic study is the highest resolution analysis yet conducted with these communities, and provides a fuller understanding of the complex bio-histories of Indigenous Caribbean peoples in the Lesser Antilles.
Authors: Howard M Cann; Claudia de Toma; Lucien Cazes; Marie-Fernande Legrand; Valerie Morel; Laurence Piouffre; Julia Bodmer; Walter F Bodmer; Batsheva Bonne-Tamir; Anne Cambon-Thomsen; Zhu Chen; J Chu; Carlo Carcassi; Licinio Contu; Ruofu Du; Laurent Excoffier; G B Ferrara; Jonathan S Friedlaender; Helena Groot; David Gurwitz; Trefor Jenkins; Rene J Herrera; Xiaoyi Huang; Judith Kidd; Kenneth K Kidd; Andre Langaney; Alice A Lin; S Qasim Mehdi; Peter Parham; Alberto Piazza; Maria Pia Pistillo; Yaping Qian; Qunfang Shu; Jiujin Xu; S Zhu; James L Weber; Henry T Greely; Marcus W Feldman; Gilles Thomas; Jean Dausset; L Luca Cavalli-Sforza Journal: Science Date: 2002-04-12 Impact factor: 47.728
Authors: Hong Shi; Yong-Li Dong; Bo Wen; Chun-Jie Xiao; Peter A Underhill; Pei-Dong Shen; Ranajit Chakraborty; Li Jin; Bing Su Journal: Am J Hum Genet Date: 2005-07-14 Impact factor: 11.025
Authors: Eran Elhaik; Tatiana Tatarinova; Dmitri Chebotarev; Ignazio S Piras; Carla Maria Calò; Antonella De Montis; Manuela Atzori; Monica Marini; Sergio Tofanelli; Paolo Francalacci; Luca Pagani; Chris Tyler-Smith; Yali Xue; Francesco Cucca; Theodore G Schurr; Jill B Gaieski; Carlalynne Melendez; Miguel G Vilar; Amanda C Owings; Rocío Gómez; Ricardo Fujita; Fabrício R Santos; David Comas; Oleg Balanovsky; Elena Balanovska; Pierre Zalloua; Himla Soodyall; Ramasamy Pitchappan; Arunkumar Ganeshprasad; Michael Hammer; Lisa Matisoo-Smith; R Spencer Wells Journal: Nat Commun Date: 2014-04-29 Impact factor: 14.919
Authors: Monica H Keith; Mark V Flinn; Harly J Durbin; Troy N Rowan; Gregory E Blomquist; Kristen H Taylor; Jeremy F Taylor; Jared E Decker Journal: PLoS One Date: 2021-11-03 Impact factor: 3.240