Browsing by Author "Caldon, Matteo "

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    Assessing the recovery of Y chromosome microsatellites with population genomic data using Papio and Theropithecus genomes
    (2023) Mutti, Giacomo ; Oteo-Garcia, Gonzalo ; Caldon, Matteo ; Ferreira da Silva, Maria Joana; Minhós, Tânia ; Cowlishaw, Guy ; Gottelli, Dada ; Huchard, Elise ; Carter, Alecia ; Martinez, Felipe I. ; Raveane, Alessandro ; Capelli, Cristian
    Abstract Y chromosome markers can shed light on male-specific population dynamics but for many species no such markers have been discovered and are available yet, despite the potential for recovering Y-linked loci from available genome sequences. Here, we investigated how effective available bioinformatic tools are in recovering informative Y chromosome microsatellites from whole genome sequence data. In order to do so, we initially explored a large dataset of whole genome sequences comprising individuals at various coverages belonging to different species of baboons (genus: Papio) using Y chromosome references belonging to the same genus and more distantly related species (Macaca mulatta). We then further tested this approach by recovering Y-STRs from available Theropithecus gelada genomes using Papio and Macaca Y chromosome as reference sequences. Identified loci were validated in silico by a) comparing within-species relationships of Y chromosome lineages and b) genotyping male individuals in available pedigrees. Each STR was selected not to extend in its variable region beyond 100 base pairs, so that loci can be developed for PCR-based genotyping of non-invasive DNA samples. In addition to assembling a first set of Papio and Theropithecus Y-specific microsatellite markers, we released TYpeSTeR, an easy-to-use script to identify and genotype Y chromosome STRs using population genomic data which can be modulated according to available male reference genomes and genomic data, making it widely applicable across taxa.
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    Genomic variation in baboons from central Mozambique unveils complex evolutionary relationships with other Papio species
    (2022) Santander, Cindy; Molinaro, Ludovica; Mutti, Giacomo; Martínez, Felipe I.; Mathe, Jacinto; Ferreira da Silva, Maria J.; Caldon, Matteo; Oteo-Garcia, Gonzalo; Aldeias, Vera; Archer, Will; Bamford, Marion; Biro, Dora; Bobe, René; Braun, David R.; Hammond, Philippa; Lüdecke, Tina; Pinto, Maria J.; Meira Paulo, Luis; Stalmans, Marc; Regala, Frederico T.; Bertolini, Francesco; Moltke, Ida; Raveane, Alessandro; Pagani, Luca; Carvalho, Susana; Capelli, Cristian
    Background: Gorongosa National Park in Mozambique hosts a large population of baboons, numbering over 200 troops. Gorongosa baboons have been tentatively identified as part of Papio ursinus on the basis of previous limited morphological analysis and a handful of mitochondrial DNA sequences. However, a recent morphological and morphometric analysis of Gorongosa baboons pinpointed the occurrence of several traits intermediate between P. ursinus and P. cynocephalus, leaving open the possibility of past and/or ongoing gene flow in the baboon population of Gorongosa National Park. In order to investigate the evolutionary history of baboons in Gorongosa, we generated high and low coverage whole genome sequence data of Gorongosa baboons and compared it to available Papio genomes. Results: We confirmed that P. ursinus is the species closest to Gorongosa baboons. However, the Gorongosa baboon genomes share more derived alleles with P. cynocephalus than P. ursinus does, but no recent gene flow between P. ursinus and P. cynocephalus was detected when available Papio genomes were analyzed. Our results, based on the analysis of autosomal, mitochondrial and Y chromosome data, suggest complex, possibly male-biased, gene flow between Gorongosa baboons and P. cynocephalus, hinting to direct or indirect contributions from baboons belonging to the “northern” Papio clade, and signal the presence of population structure within P. ursinus. Conclusions: The analysis of genome data generated from baboon samples collected in central Mozambique highlighted a complex set of evolutionary relationships with other baboons. Our results provided new insights in the population dynamics that have shaped baboon diversity.