Mitochondrial genetic diversity and divergence dating of Angolan colobus monkeys (Colobus angolensis) in the eastern forests of Kenya and Tanzania: Implications for subspeciation and reconstructing historical biogeography
Abstract:Whether the Colobus angolensis that reside in the fragmented forests in eastern Kenya and Tanzania represent one subspecies or two has been debated for 50 years.Morphological and more recent genetic and ecological studies suggest that these populations represent two subspecies, C. a. palliatus and C. a. sharpei. However, their distribution of mitochondrial variation remains unresolved since the genetic study only characterized four populations at the range ends. Therefore, we characterized five populations in … Show more
“…The haplotype phylogeny indicated that the PT1 haplotype ( n = 1, from founder 11) is most closely related to the Rufiji River haplotype (R2), and the PT2 haplotype ( n = 2, from founder 9) is most closely related to a Shimoni, Kenya haplotype (S2) (Figure 3). These two new haplotypes differed from their most similar haplotypes in either cytochrome b or D‐loop, or both: 0% to 0.2% (cytochrome b ) and 0.4%–1.5% (D‐loop) (McDonald et al, 2022).…”
Section: Resultsmentioning
confidence: 98%
“…Our analysis also included 26 haplotypes identified from nine wild Vulnerable by the 2020 IUCN Red List Assessment (Cunneyworth et al, 2020;Rovero et al, 2020) (Figure 1 and Supporting Information: Table 3). Using MEGA 10.1.7 (Kumar et al, 2018) and (Huelsenbeck & Ronquist, 2001) in Geneious 7.1 (https://www.geneious.com) and maximum likelihood (ML) analyses using PAUP 4.0 (Swofford, 2003) to characterize the phylogenetic relationships among the combined zoo and wild data set and to identify the likely geographic origins of the founding zoo population (McDonald et al, 2022). Finally, we assigned the zoo haplotypes to their founder and founder event using the AZA Angolan colobus studbook (Fogarty, 2018) and compared the founder and haplotype representation of the managed zoo population using the 2018 AZA Breeding and Transfer Plan (Gibson et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Mountain names in gray are unsampled populations. The dashed line indicates the purported boundary, along the Rufiji River, between C. a. palliatus (upper right) and C. a. sharpei (lower left) subspecies (McDonald et al, 2022) (map adapted from Eastern Arc Mountains CEF— http://www.easternarc.or.tz/eastern-arc-mountains/index.html). [Color figure can be viewed at wileyonlinelibrary.com]…”
Section: Introductionmentioning
confidence: 99%
“…nov.). Wild colobus were sampled in South Pare, East Usambara, Nguru, Uluguru, Rufiji River, Diani, Shimoni, Udzungwa, and Southern Highlands (McDonald et al, 2022; McDonald & Hamilton, 2010). Location names in boxes reflect the zoo animals' likely location of origin based on their haplotype and the phylogenetic results.…”
Across zoo's accredited by the Association of Zoos and Aquariums (AZA), species are typically managed as a single population to retain 90% of the founding members' gene diversity. Often, little is known about the specific geographic origins of the founders or how representative the ex situ population's genetic diversity is of the wild population. This study uses mitochondrial DNA (mtDNA) sequencing to investigate haplotype diversity and geographic female founder origin of the AZA‐managed Angolan colobus (Colobus angolensis) monkey population. We obtained fecal samples from individuals closely related to founder animals at five zoos and found four haplotypes among 23 individuals. Analyzed together with wild C. angolensis haplotypes, we found two haplotypes identical to those found in Tanzanian populations: one haplotype, possessed by 13 individuals (descended from three founders), matched an East Usambara Mountains haplotype, while the other, possessed by seven individuals (from four founders), matched a haplotype found in both the South Pare Mountains and Rufiji River. Two haplotypes were not detected in wild populations but were closely related to haplotypes found in the Rufiji River (one individual descended from one founder) and Shimoni, Kenya (two individuals descended from one founder) populations, suggesting nearby origins. Thus, the AZA‐managed population of Angolan colobus likely originated from several localities, but all have mtDNA lineages associated with the subspecies C. a. palliatus, a Vulnerable subspecies. Examining founders' mtDNA haplotypes may be a useful addition to the zoo population management toolkit to help improve breeding recommendations by identifying individuals with rare haplotypes and revealing likely kinship among founders.
“…The haplotype phylogeny indicated that the PT1 haplotype ( n = 1, from founder 11) is most closely related to the Rufiji River haplotype (R2), and the PT2 haplotype ( n = 2, from founder 9) is most closely related to a Shimoni, Kenya haplotype (S2) (Figure 3). These two new haplotypes differed from their most similar haplotypes in either cytochrome b or D‐loop, or both: 0% to 0.2% (cytochrome b ) and 0.4%–1.5% (D‐loop) (McDonald et al, 2022).…”
Section: Resultsmentioning
confidence: 98%
“…Our analysis also included 26 haplotypes identified from nine wild Vulnerable by the 2020 IUCN Red List Assessment (Cunneyworth et al, 2020;Rovero et al, 2020) (Figure 1 and Supporting Information: Table 3). Using MEGA 10.1.7 (Kumar et al, 2018) and (Huelsenbeck & Ronquist, 2001) in Geneious 7.1 (https://www.geneious.com) and maximum likelihood (ML) analyses using PAUP 4.0 (Swofford, 2003) to characterize the phylogenetic relationships among the combined zoo and wild data set and to identify the likely geographic origins of the founding zoo population (McDonald et al, 2022). Finally, we assigned the zoo haplotypes to their founder and founder event using the AZA Angolan colobus studbook (Fogarty, 2018) and compared the founder and haplotype representation of the managed zoo population using the 2018 AZA Breeding and Transfer Plan (Gibson et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Mountain names in gray are unsampled populations. The dashed line indicates the purported boundary, along the Rufiji River, between C. a. palliatus (upper right) and C. a. sharpei (lower left) subspecies (McDonald et al, 2022) (map adapted from Eastern Arc Mountains CEF— http://www.easternarc.or.tz/eastern-arc-mountains/index.html). [Color figure can be viewed at wileyonlinelibrary.com]…”
Section: Introductionmentioning
confidence: 99%
“…nov.). Wild colobus were sampled in South Pare, East Usambara, Nguru, Uluguru, Rufiji River, Diani, Shimoni, Udzungwa, and Southern Highlands (McDonald et al, 2022; McDonald & Hamilton, 2010). Location names in boxes reflect the zoo animals' likely location of origin based on their haplotype and the phylogenetic results.…”
Across zoo's accredited by the Association of Zoos and Aquariums (AZA), species are typically managed as a single population to retain 90% of the founding members' gene diversity. Often, little is known about the specific geographic origins of the founders or how representative the ex situ population's genetic diversity is of the wild population. This study uses mitochondrial DNA (mtDNA) sequencing to investigate haplotype diversity and geographic female founder origin of the AZA‐managed Angolan colobus (Colobus angolensis) monkey population. We obtained fecal samples from individuals closely related to founder animals at five zoos and found four haplotypes among 23 individuals. Analyzed together with wild C. angolensis haplotypes, we found two haplotypes identical to those found in Tanzanian populations: one haplotype, possessed by 13 individuals (descended from three founders), matched an East Usambara Mountains haplotype, while the other, possessed by seven individuals (from four founders), matched a haplotype found in both the South Pare Mountains and Rufiji River. Two haplotypes were not detected in wild populations but were closely related to haplotypes found in the Rufiji River (one individual descended from one founder) and Shimoni, Kenya (two individuals descended from one founder) populations, suggesting nearby origins. Thus, the AZA‐managed population of Angolan colobus likely originated from several localities, but all have mtDNA lineages associated with the subspecies C. a. palliatus, a Vulnerable subspecies. Examining founders' mtDNA haplotypes may be a useful addition to the zoo population management toolkit to help improve breeding recommendations by identifying individuals with rare haplotypes and revealing likely kinship among founders.
“…A fine-scale analysis of mtDNA enabled the precise localization of the boundary between northern and southern mitochondrial clades within the distribution of yellow baboons in central Tanzania from the coast to the eastern shore of Lake Tanganyika along the Ugalla-Malagarsi and the Ruaha-Rufiji rivers [ 35 ]. Interestingly, the Ruaha-Rufiji rivers seem to constitute a dispersal barrier also for other taxa, e.g., dwarf galagos [ 62 ] and subspecies of Colobus angolensis [ 63 ]. The contact zone of the current distributions of phenotypically well-differentiated olive and yellow baboons is also localized in East Africa but does not correspond to the boundary between northern and southern mtDNA clades.…”
Section: The Two Main Clades Mingling: Past and Present Hybridization...mentioning
Baboons (genus Papio) are an intriguing study system to investigate complex evolutionary processes and the evolution of social systems. An increasing number of studies over the last 20 years has shown that considerable incongruences exist between phylogenies based on morphology, mitochondrial, and nuclear sequence data of modern baboons, and hybridization and introgression have been suggested as the main drivers of these patterns. Baboons, therefore, present an excellent opportunity to study these phenomena and their impact on speciation. Advances both in geographic and genomic coverage provide increasing details on the complexity of the phylogeography of baboons. Here, we compile the georeferenced genetic data of baboons and review the current knowledge on baboon phylogeny, discuss the evolutionary processes that may have shaped the patterns that we observe today, and propose future avenues for research.
The relative importance of the different processes that determine the distribution of species and the assembly of communities is a key question in ecology. The distribution of any individual species is affected by a wide range of environmental variables as well as through interactions with other species; the resulting distributions determine the pool of species available to form local communities at fine spatial scales. A challenge in community ecology is that these interactions (e.g. competition, facilitation, etc.) often are not directly measurable. Here, we used hierarchical modelling of species communities (HMSC), a recently developed framework for joint species distribution modelling, to estimate the role of biotic effects alongside environmental factors using latent variables. We investigate the role of these factors determining species distributions in communities of Artiodactyla, Perissodactyla and Proboscidea in the Afrotropics, an area of peak species richness for hoofed mammals. We also calculate pairwise trait dissimilarity between these species, from a mixture of morphological and behavioural traits, and investigate the relationship between dissimilarity and estimated residual co‐occurrence in the model. We find that while ungulate distributions appear to be predominantly determined (~ 70%) by climatic variables, such as precipitation, a substantial proportion of the variance in ungulate species distributions (~ 30%) can also be attributed to modelled latent variables that likely represent a combination of dispersal barriers and biotic factors. Although we find only a weak relationship between residual co‐occurrence and trait dissimilarity, we suggest that our results may show evidence that biotic factors, likely influenced by historical barriers to species dispersal, are important in determining species communities over a continental area. The HMSC framework can be used to provide insight into factors affecting community assembly at broad scales, and to make more powerful predictions about future species distributions as we enter an era of increasing impacts from anthropogenic change.
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