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马库希族和瓦皮沙纳族印第安人的遗传学研究。II. 红细胞和血清蛋白12种遗传多态性的数据:部落间的基因流

Genetic studies of the Macushi and Wapishana Indians. II. Data on 12 genetic polymorphisms of the red cell and serum proteins: gene flor between the tribes.

作者信息

Neel J V, Gershowitz H, Spielman R S, Migliazza E C, Salzano F M, Oliver W J

出版信息

Hum Genet. 1977 Jun 30;37(2):207-19. doi: 10.1007/BF00393584.

Abstract

Blood samples from 509 Macushi (3 villages) and 623 Wapishana (11 villages) of Northern Brasil and Southern Guyana have been analyzed with respect to the phenotype and gene frequencies at the following 12 polymorphic loci: ABO, Kell-Cellano, MNSs, Rh, P, Duffy, Kidd, Diego, Lewis, Group-specific component, and the immunoglobulin allotypes of the Gm and Inv systems. The data suggest that 5-6% of the Wapishana gene pool is derived from non-Indians but only 1-2% of the Macushi. Inter- and intratribal genetic distances between villages are calculated for these data in an effort to understand gene flow between the tribes and to account for the unusual distribution of a newly-discovered genetic polymorphism of erythrocyte esterase A thus far limited to these 2 tribes (Neel et al., 1977). The data are puzzling and consistent with the possibility that both the Carib-speaking Macushi and the Arawak-speaking Wapishana have derived the esterase A allele in question from some third group now extinct or thus far undiscovered. Intertribal genetic distances based on gene frequencies at 6 loci are derived for 20 Amerindian tribes (including these 2); the "central" position of these 2 tribes can in part be explained by the active migration matrix connecting them.

摘要

对来自巴西北部和圭亚那南部的509名马库希人(3个村庄)和623名瓦皮沙纳人(11个村庄)的血样,就以下12个多态位点的表型和基因频率进行了分析:ABO、凯尔 - 塞拉诺、MNSs、Rh、P、达菲、基德、迭戈、刘易斯、群体特异性成分,以及Gm和Inv系统的免疫球蛋白同种异型。数据表明,瓦皮沙纳基因库中有5 - 6%源自非印第安人,而马库希人只有1 - 2%。针对这些数据计算了村庄之间的部落间和部落内遗传距离,以了解部落之间的基因流动,并解释一种新发现的红细胞酯酶A遗传多态性的异常分布,该多态性目前仅限于这两个部落(尼尔等人,1977年)。这些数据令人困惑,并且与以下可能性相符:说加勒比语的马库希人和说阿拉瓦克语的瓦皮沙纳人都是从某个现已灭绝或至今未被发现的第三群体获得了相关的酯酶A等位基因。基于6个位点的基因频率得出了20个美洲印第安部落(包括这两个部落)的部落间遗传距离;这两个部落的“中心”位置部分可以通过连接它们的活跃迁移矩阵来解释。

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