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Coppery titi monkeys (Plecturocebus cupreus) are an important non-human primate model for studying neurobiology and social behavior, in part owing to their relatively unusual combination of social monogamy and paternal care. Despite this importance, relatively little is known regarding the underlying population genomics of this platyrrhine. This study presents high-coverage, whole-genome sequencing data from 26 individuals which, combined with a highly accurate multi-algorithm ensemble approach, was used to characterize the first map of structural variation in the species. This novel genomic resource includes over 13,000 structural variants, with the majority (>90%) being copy number variants. While many of these were found to be located in intergenic regions, several affected genes associated with disease, including an inversion predicted to impact a pathway implicated in early-onset Parkinson's disease. Furthermore, utilizing parent-offspring trios included within this study, the de novo structural variant rate was estimated to be one in every 1.5 births, similar to that reported in rhesus macaques but considerably higher than that observed in large human cohorts, as may be expected from underlying differences in life history traits amongst these species. Taken together, these insights into the structural variant landscape ofP. cupreuswill not only improve their utility as a behavioral model system, but will also contribute to our general understanding of the role of structural variation in both the evolution of the primate clade and disease-outcomes. 

Abstract The common marmoset (Callithrix jacchus) is of considerable biomedical importance, yet there remains a need to characterize the evolutionary forces shaping empirically observed patterns of genomic variation in the species. However, two uncommon biological traits potentially prevent the use of standard population genetic approaches in this primate: a high frequency of twin births and the prevalence of hematopoietic chimerism. Here we characterize the impact of these biological features on the inference of natural selection, and directly model twinning and chimerism when performing inference of the distribution of fitness effects to characterize general selective dynamics as well as when scanning the genome for loci shaped by the action of episodic positive and balancing selection. Results suggest a generally increased degree of purifying selection relative to human populations, consistent with the larger estimated effective population size of common marmosets. Furthermore, genomic scans based on an appropriate evolutionary baseline model reveal a small number of genes related to immunity, sensory perception, and reproduction to be strong sweep candidates. Notably, two genes in the major histocompatibility complex were found to have strong evidence of being maintained by balancing selection, in agreement with observations in other primate species. Taken together, this work, presenting the first whole-genome characterization of selective dynamics in the common marmoset, thus provides important insights into the landscape of both persistent and episodic selective forces in this species. 

Abstract Aye-ayes (Daubentonia madagascariensis) are one of the 25 most critically endangered primate species in the world. Endemic to Madagascar, their small and highly fragmented populations make them particularly vulnerable to both genetic disease and anthropogenic environmental changes. Over the past decade, conservation genomic efforts have largely focused on inferring and monitoring population structure based on single nucleotide variants to identify and protect critical areas of genetic diversity. However, the recent release of a highly contiguous genome assembly allows, for the first time, for the study of structural genomic variation (deletions, duplications, insertions, and inversions) which are likely to impact a substantial proportion of the species’ genome. Based on whole-genome data from 14 individuals, >1,000 autosomal structural variants were detected, affecting ∼240 kb of the aye-aye genome. The majority of these variants (>85%) were deletions shorter than 200 bp, consistent with the notion that longer structural mutations are often associated with strongly deleterious fitness effects. For example, two deletions longer than 850 bp located within disease-linked genes were predicted to impose substantial fitness deficits owing to a resulting frameshift and gene fusion, respectively; whereas several other major effect variants outside of coding regions are likely to impact gene regulatory landscapes. Taken together, this first glimpse into the landscape of structural variation in aye-ayes will enable future opportunities to advance our understanding of the traits impacting the fitness of this endangered species, as well as allow for enhanced evolutionary comparisons across the full primate clade. 

Abstract Gaining a better understanding of the rates and patterns of meiotic recombination is crucial for improving evolutionary genomic modeling, with applications ranging from demographic to selective inference. Although previous research has provided important insights into the landscape of crossovers in humans and other haplorrhines, our understanding of both the considerably more common outcome of recombination (i.e. noncrossovers) as well as the landscapes in more distantly related primates (i.e. strepsirrhines) remains limited owing to difficulties associated with both the identification of noncrossover tracts as well as species sampling. Thus, in order to elucidate recombination patterns in this understudied branch of the primate clade, we here characterize crossover and noncrossover landscapes in aye-ayes utilizing whole-genome sequencing data from six three-generation pedigrees and three two-generation multi-sibling families, and in so doing provide novel insights into this important evolutionary process shaping genomic diversity in one of the world's most critically endangered primate species. 

Abstract The aye-aye (Daubentonia madagascariensis) is one of the 25 most endangered primate species in the world, maintaining amongst the lowest genetic diversity of any primate measured to date. Characterizing patterns of genetic variation within aye-aye populations, and the relative influences of neutral and selective processes in shaping that variation, is thus important for future conservation efforts. In this study, we performed the first whole-genome scans for positive and balancing selection in the species, utilizing high-coverage population genomic data from newly sequenced individuals. We generated null thresholds for our genomic scans by creating an evolutionarily appropriate baseline model that incorporates the demographic history of this aye-aye population, and identified a small number of candidate genes. Most notably, a suite of genes involved in olfaction—a key trait in these nocturnal primates—were identified as experiencing long-term balancing selection. We also conducted analyses to quantify the expected statistical power to detect positive and balancing selection in this population using site frequency spectrum–based inference methods, once accounting for the potentially confounding contributions of population history, mutation and recombination rate variation, as well as purifying and background selection. This work, presenting the first high-quality, genome-wide polymorphism data across the functional regions of the aye-aye genome, thus provides important insights into the landscape of episodic selective forces in this highly endangered species. 

Abstract Given the many levels of biological variation in mutation rates observed to date in primates—spanning from species to individuals to genomic regions—future steps in our understanding of mutation rate evolution will not only be aided by a greater breadth of species coverage across the primate clade but also by a greater depth as afforded by an evaluation of multiple trios within individual species. In order to help bridge these gaps, we here present an analysis of a species representing one of the most basal splits on the primate tree (aye-ayes), combining whole-genome sequencing of seven parent–offspring trios from a three-generation pedigree with a novel computational pipeline that takes advantage of recently developed pan-genome graphs, thereby circumventing the application of (highly subjective) quality metrics that has previously been shown to result in notable differences in the detection of de novo mutations and ultimately estimates of mutation rates. This deep sampling has enabled both a detailed picture of parental age effects and sex dependency in mutation rates, which we here compare with previously studied primates, but has also provided unique insights into the nature of genetic variation in one of the most endangered primates on the planet. 

Abstract As a species of considerable biomedical importance, characterizing the evolutionary genomics of the common marmoset (Callithrix jacchus) is of significance across multiple fields of research. However, at least 2 peculiarities of this species potentially preclude commonly utilized population genetic modeling and inference approaches: a high frequency of twin births and hematopoietic chimerism. We here investigate these effects within the context of demographic inference, demonstrating via simulation that neglecting these biological features results in significant mis-inference of the underlying population history. Based upon this result, we develop a novel approximate Bayesian inference approach accounting for both common twin births and chimeric sampling. In addition, we newly present population genomic data from 15 individuals sequenced to high coverage and utilize gene-level annotations to identify neutrally evolving intergenic regions appropriate for demographic inference. Applying our developed methodology, we estimate a well-fitting population history for this species, which suggests robust ancestral and current population sizes, as well as a size reduction roughly 7,000 years ago likely associated with a shift from arboreal to savanna vegetation in north-eastern Brazil during this period. 

ABSTRACT Although recent advances in genomics have enabled the high-resolution study of whole genomes, our understanding of one of the key evolutionary processes, mutation, still remains limited. In primates specifically, studies have largely focused on humans and their closest evolutionary relatives, the great apes, as well as a handful of species of biomedical or conservation interest. Yet, as biological variation in mutation rates has been shown to vary across genomic regions, individuals, and species, a greater understanding of the underlying evolutionary dynamics at play will ultimately be illuminated by not only additional sampling across the Order, but also by a greater depth of sampling within-species. To address these needs, we here present the first population-scale genomic resources for a platyrrhine of considerable biomedical interest for both social behavior and neurobiology, the coppery titi monkey (Plecturocebus cupreus). Deep whole-genome sequencing of 15 parent-offspring trios, together with a computationalde novomutation detection pipeline based on pan-genome graphs, has provided a detailed picture of the sex-averaged mutation rate — 0.63 × 10^-8(95% CI: 0.43 × 10^-8– 0.90 × 10^-8) per site per generation — as well as the effects of both sex and parental age on underlying rates, demonstrating a significant paternal age effect. Coppery titi monkey males exhibit long reproductive lifespans, afforded by long-term pair bonding in the species’ monogamous mating system, and our results have demonstrated that individuals reproducing later in life exhibit one of the strongest male mutation biases observed in any non-human primate studied to date. Taken together, this study thus provides an important piece of the puzzle for better comprehending the mutational landscape across primates. 

ABSTRACT Along with germline mutations, meiotic recombination plays a fundamental role in shaping genetic diversity and thus directly influences a species’ potential adaptive response to environmental change, amongst other features. Despite the recombination landscape being of central importance for a variety of questions in molecular evolution, the genome-wide distribution and frequency of recombination remains to be elucidated in many non-human primate species. Utilizing novel high-coverage genomic data from three multi-sibling families, we here provide the first estimates of the rates and patterns of crossover and non-crossover recombination in coppery titi monkeys (Plecturocebus cupreus) — a socially monogamous, pair-bonded primate that serves as an important model in behavioral research. Consistent with haplorrhines, crossover and non-crossover recombination in this platyrrhine are frequently localized at PRDM9-mediated hotspots, characterized by a 15-mer binding motif with substantial similarities to the degenerate 13-mer motif found in humans. The sex-averaged crossover rate in coppery titi monkeys is comparable with those of other primates; however, no significant difference in recombination rates was observed between the sexes, despite a pronounced maternal age effect in the species. Similarities also exist with regards to the sex-specific genomic distribution of non-crossover events, though the minimal conversion tract lengths of extended events was observed to be considerably longer in maternally-inherited non-crossovers. Taken together, these similarities and differences in the recombination landscape relative to other primates highlight the importance of incorporating species-specific rates and patterns in evolutionary models, and the resources provided here will thus serve to aid future studies in this important primate model system.