Trudy R Turner1,2, Willem G Coetzer2, Christopher A Schmitt3,4, Joseph G Lorenz5, Nelson B Freimer3, J Paul Grobler2. 1. Department of Anthropology, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201. 2. Department of Genetics, University of the Free State, Bloemfontein, 9300, South Africa. 3. Center for Neurobehavioral Genetics, University of California-Los Angeles, Los Angeles, CA, 90095. 4. Human Evolution Research Center, University of California-Berkeley, Berkeley, CA, 94720. 5. Department of Anthropology and Museum Studies, Central Washington University, Ellensburg, WA, 98926.
Abstract
OBJECTIVE: Vervet monkeys are common in most tree-rich areas of South Africa, but their absence from grassland and semi-desert areas of the country suggest potentially restricted and mosaic local population patterns that may have relevance to local phenotype patterns and selection. A portion of the mitochondrial DNA control region was sequenced to study patterns of genetic differentiation. METHODS: DNA was extracted, and mitochondrial DNA sequences were obtained from 101 vervet monkeys at 15 localities, which represent both an extensive (widely across the distribution range) and intensive (more than one troop at most of the localities) sampling strategy. Analyses utilized Arlequin 3.1, MEGA 6, BEAST v1.5.2, and Network V3.6.1. RESULTS: The dataset contained 26 distinct haplotypes, with six populations fixed for single haplotypes. Pairwise P-distance among population pairs showed significant differentiation among most population pairs, but with nonsignificant differences among populations within some regions. Populations were grouped into three broad clusters in a maximum likelihood phylogenetic tree and a haplotype network. These clusters correspond to i) north-western, northern, and north-eastern parts of the distribution range as well as the northern coastal belt; ii) central areas of the country; and iii) southern part of the Indian Ocean coastal belt and adjacent inland areas. CONCLUSIONS: Apparent patterns of genetic structure correspond to current and past distribution of suitable habitat, geographic barriers to gene flow, geographic distance, and female philopatry. However, further work on nuclear markers and other genomic data are necessary to confirm these results.
OBJECTIVE:Vervet monkeys are common in most tree-rich areas of South Africa, but their absence from grassland and semi-desert areas of the country suggest potentially restricted and mosaic local population patterns that may have relevance to local phenotype patterns and selection. A portion of the mitochondrial DNA control region was sequenced to study patterns of genetic differentiation. METHODS: DNA was extracted, and mitochondrial DNA sequences were obtained from 101 vervet monkeys at 15 localities, which represent both an extensive (widely across the distribution range) and intensive (more than one troop at most of the localities) sampling strategy. Analyses utilized Arlequin 3.1, MEGA 6, BEAST v1.5.2, and Network V3.6.1. RESULTS: The dataset contained 26 distinct haplotypes, with six populations fixed for single haplotypes. Pairwise P-distance among population pairs showed significant differentiation among most population pairs, but with nonsignificant differences among populations within some regions. Populations were grouped into three broad clusters in a maximum likelihood phylogenetic tree and a haplotype network. These clusters correspond to i) north-western, northern, and north-eastern parts of the distribution range as well as the northern coastal belt; ii) central areas of the country; and iii) southern part of the Indian Ocean coastal belt and adjacent inland areas. CONCLUSIONS: Apparent patterns of genetic structure correspond to current and past distribution of suitable habitat, geographic barriers to gene flow, geographic distance, and female philopatry. However, further work on nuclear markers and other genomic data are necessary to confirm these results.
Authors: Joseph G Lorenz; Whitney E Jackson; Jeanne C Beck; Robert Hanner Journal: Philos Trans R Soc Lond B Biol Sci Date: 2005-10-29 Impact factor: 6.237
Authors: Anna J Jasinska; Christopher A Schmitt; Susan K Service; Rita M Cantor; Ken Dewar; James D Jentsch; Jay R Kaplan; Trudy R Turner; Wesley C Warren; George M Weinstock; Roger P Woods; Nelson B Freimer Journal: ILAR J Date: 2013
Authors: Katerina Guschanski; Johannes Krause; Susanna Sawyer; Luis M Valente; Sebastian Bailey; Knut Finstermeier; Richard Sabin; Emmanuel Gilissen; Gontran Sonet; Zoltán T Nagy; Georges Lenglet; Frieder Mayer; Vincent Savolainen Journal: Syst Biol Date: 2013-03-16 Impact factor: 15.683
Authors: James E Loudon; J Paul Grobler; Matt Sponheimer; Kimberly Moyer; Joseph G Lorenz; Trudy R Turner Journal: PLoS One Date: 2014-07-10 Impact factor: 3.240
Authors: Trudy R Turner; Christopher A Schmitt; Jennifer Danzy Cramer; Joseph Lorenz; J Paul Grobler; Clifford J Jolly; Nelson B Freimer Journal: Am J Phys Anthropol Date: 2018-03-25 Impact factor: 2.868
Authors: Christian M Gagnon; Hannes Svardal; Anna J Jasinska; Jennifer Danzy Cramer; Nelson B Freimer; J Paul Grobler; Trudy R Turner; Christopher A Schmitt Journal: Proc Biol Sci Date: 2022-09-14 Impact factor: 5.530