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Interdisciplinary approach to the demography of Jamaica
BACKGROUND: The trans-Atlantic slave trade dramatically changed the demographic makeup of the New World, with varying regions of the African coast exploited differently over roughly a 400 year period. When compared to the discrete mitochondrial haplotype distribution of historically appropriate sour...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299582/ https://www.ncbi.nlm.nih.gov/pubmed/22360861 http://dx.doi.org/10.1186/1471-2148-12-24 |
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author | Deason, Michael L Salas, Antonio Newman, Simon P Macaulay, Vincent A st A Morrison, Errol Y Pitsiladis, Yannis P |
author_facet | Deason, Michael L Salas, Antonio Newman, Simon P Macaulay, Vincent A st A Morrison, Errol Y Pitsiladis, Yannis P |
author_sort | Deason, Michael L |
collection | PubMed |
description | BACKGROUND: The trans-Atlantic slave trade dramatically changed the demographic makeup of the New World, with varying regions of the African coast exploited differently over roughly a 400 year period. When compared to the discrete mitochondrial haplotype distribution of historically appropriate source populations, the unique distribution within a specific source population can prove insightful in estimating the contribution of each population. Here, we analyzed the first hypervariable region of mitochondrial DNA in a sample from the Caribbean island of Jamaica and compared it to aggregated populations in Africa divided according to historiographically defined segments of the continent's coastline. The results from these admixture procedures were then compared to the wealth of historic knowledge surrounding the disembarkation of Africans on the island. RESULTS: In line with previous findings, the matriline of Jamaica is almost entirely of West African descent. Results from the admixture analyses suggest modern Jamaicans share a closer affinity with groups from the Gold Coast and Bight of Benin despite high mortality, low fecundity, and waning regional importation. The slaves from the Bight of Biafra and West-central Africa were imported in great numbers; however, the results suggest a deficit in expected maternal contribution from those regions. CONCLUSIONS: When considering the demographic pressures imposed by chattel slavery on Jamaica during the slave era, the results seem incongruous. Ethnolinguistic and ethnographic evidence, however, may explain the apparent non-random levels of genetic perseverance. The application of genetics may prove useful in answering difficult demographic questions left by historically voiceless groups. |
format | Online Article Text |
id | pubmed-3299582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32995822012-03-13 Interdisciplinary approach to the demography of Jamaica Deason, Michael L Salas, Antonio Newman, Simon P Macaulay, Vincent A st A Morrison, Errol Y Pitsiladis, Yannis P BMC Evol Biol Research Article BACKGROUND: The trans-Atlantic slave trade dramatically changed the demographic makeup of the New World, with varying regions of the African coast exploited differently over roughly a 400 year period. When compared to the discrete mitochondrial haplotype distribution of historically appropriate source populations, the unique distribution within a specific source population can prove insightful in estimating the contribution of each population. Here, we analyzed the first hypervariable region of mitochondrial DNA in a sample from the Caribbean island of Jamaica and compared it to aggregated populations in Africa divided according to historiographically defined segments of the continent's coastline. The results from these admixture procedures were then compared to the wealth of historic knowledge surrounding the disembarkation of Africans on the island. RESULTS: In line with previous findings, the matriline of Jamaica is almost entirely of West African descent. Results from the admixture analyses suggest modern Jamaicans share a closer affinity with groups from the Gold Coast and Bight of Benin despite high mortality, low fecundity, and waning regional importation. The slaves from the Bight of Biafra and West-central Africa were imported in great numbers; however, the results suggest a deficit in expected maternal contribution from those regions. CONCLUSIONS: When considering the demographic pressures imposed by chattel slavery on Jamaica during the slave era, the results seem incongruous. Ethnolinguistic and ethnographic evidence, however, may explain the apparent non-random levels of genetic perseverance. The application of genetics may prove useful in answering difficult demographic questions left by historically voiceless groups. BioMed Central 2012-02-23 /pmc/articles/PMC3299582/ /pubmed/22360861 http://dx.doi.org/10.1186/1471-2148-12-24 Text en Copyright ©2012 Deason et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Deason, Michael L Salas, Antonio Newman, Simon P Macaulay, Vincent A st A Morrison, Errol Y Pitsiladis, Yannis P Interdisciplinary approach to the demography of Jamaica |
title | Interdisciplinary approach to the demography of Jamaica |
title_full | Interdisciplinary approach to the demography of Jamaica |
title_fullStr | Interdisciplinary approach to the demography of Jamaica |
title_full_unstemmed | Interdisciplinary approach to the demography of Jamaica |
title_short | Interdisciplinary approach to the demography of Jamaica |
title_sort | interdisciplinary approach to the demography of jamaica |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299582/ https://www.ncbi.nlm.nih.gov/pubmed/22360861 http://dx.doi.org/10.1186/1471-2148-12-24 |
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