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. 2023 Jun 2;380(6648):906-913.
doi: 10.1126/science.abn7829. Epub 2023 Jun 1.

A global catalog of whole-genome diversity from 233 primate species

Lukas F K Kuderna  1   2 Hong Gao  2 Mareike C Janiak  3 Martin Kuhlwilm  1   4   5 Joseph D Orkin  1   6 Thomas Bataillon  7 Shivakumara Manu  8   9 Alejandro Valenzuela  1 Juraj Bergman  7   10 Marjolaine Rousselle  7 Felipe Ennes Silva  11   12 Lidia Agueda  13 Julie Blanc  13 Marta Gut  13 Dorien de Vries  3 Ian Goodhead  3 R Alan Harris  14 Muthuswamy Raveendran  14 Axel Jensen  15 Idrissa S Chuma  16 Julie E Horvath  17   18   19   20   21 Christina Hvilsom  22 David Juan  1 Peter Frandsen  22 Joshua G Schraiber  2 Fabiano R de Melo  23 Fabrício Bertuol  24 Hazel Byrne  25 Iracilda Sampaio  26 Izeni Farias  24 João Valsecchi  27   28   29 Malu Messias  30 Maria N F da Silva  31 Mihir Trivedi  9 Rogerio Rossi  32 Tomas Hrbek  24   33 Nicole Andriaholinirina  34 Clément J Rabarivola  34 Alphonse Zaramody  34 Clifford J Jolly  35 Jane Phillips-Conroy  36 Gregory Wilkerson  37 Christian Abee  37 Joe H Simmons  37 Eduardo Fernandez-Duque  38 Sree Kanthaswamy  39 Fekadu Shiferaw  40 Dongdong Wu  41 Long Zhou  42 Yong Shao  41 Guojie Zhang  42   43   41   44   45 Julius D Keyyu  46 Sascha Knauf  47 Minh D Le  48 Esther Lizano  1   49 Stefan Merker  50 Arcadi Navarro  1   51   52   53 Tilo Nadler  54 Chiea Chuen Khor  55 Jessica Lee  56 Patrick Tan  55   57   58 Weng Khong Lim  57   58   59 Andrew C Kitchener  60 Dietmar Zinner  61   62   63 Ivo Gut  13 Amanda D Melin  64   65   66 Katerina Guschanski  15   67 Mikkel Heide Schierup  7 Robin M D Beck  3 Govindhaswamy Umapathy  8   9 Christian Roos  68 Jean P Boubli  3 Jeffrey Rogers  14 Kyle Kai-How Farh  2 Tomas Marques Bonet  1   13   49   51
Affiliations

A global catalog of whole-genome diversity from 233 primate species

Lukas F K Kuderna et al. Science. .

Abstract

The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.

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Conflict of interest statement

Competing interests: L.F.K.K., H.G., J.G.S., and K.K.-H.F. are employees of Illumina Inc. as of the submission of this manuscript.

Figures

Fig. 1.
Fig. 1.. Genetic diversity in primates across geographic regions and families.
(A) Sampling range of species analyzed in this project. Each point represents the approximate species range centroid of all sampled species with available ranges. Points are repelled to avoid overplotting. (B) Heterozygosity stratified by geographic region. Solid black circles and whiskers represent median values and interquartile range. (C) Median species heterozygosity by family. Solid circles and whiskers represent median and interquartile range. Solid gray line denotes primate-wide median heterozygosity; dashed and dotted lines denote human heterozygosity for African and bottlenecked out-of-Africa populations, respectively. Points are colored according to the family a species belongs to, as denoted on the x axis of (C).
Fig. 2.
Fig. 2.. Runs of homozygosity and impact of extinction risk on diversity
(A) Relationship between IUCN extinction risk categories and heterozygosity. Solid black circles and bars denote median and IQR. (B) Partition into threatened (T: VU, EN, CR) and nonthreatened (N: LC, NT) categories for all families with more than one species in either partition. Significant differences (p < 0.05, one-sided rank-sum test) are marked with an asterisk. (C) Median number of tracts of homozygosity versus median proportion of the genome in runs of homozygosity per species. Species with a fraction over 1/3 are highlighted. Solid black dots within highlights denote threatened species (VU, EN, CR).
Fig. 3.
Fig. 3.. Fossil-calibrated nuclear time tree.
Concentric background circles mark 10-million-year intervals; solid gray circles in internal nodes show fossil calibration points (36); species marked with solid circles at tips show paraphyly or polyphyly when including additional individuals to estimate the topology.
Fig. 4.
Fig. 4.. Estimates of mutation rates and effective population size.
(A) Distribution of estimates of the per-generation mutation rate across primate families (μ). Large solid circles denote median, and horizontal bars denote the interquartile range. The gray line denotes the primate-wide median. (B) Distribution of Ne estimates across primate families. Species with effective population size above 3 × 105 are highlighted. (C) Comparison of pedigree-based estimates of μ for great apes (79, 80), olive baboon (81), rhesus macaque (82), and common marmoset (83) show a high correlation between the two estimates (Spearman’s r = 0.85, p = 0.02). The open circle denotes the estimate for the mouse lemur (84), which was excluded from the comparison as an outlier (16). Data for trio estimates were derived from (85). (D) Positive correlation between estimates of per-generation mutation rates and generation times (g) (Pearson’s r = 0.53, p = 2.1 × 10−17). (E) Inverse relationship between yearly mutation rate and generation time. Circles in (D) and (E) are colored by the effective population size Ne (Pearson’s r = −0.34, p = 3.1 × 10−7). (F) Relationship between per-generation mutation rate, adjusted by first regressing the effects of generation time, and effective population size. The relationship is highly significant after phylogenetic correction (r2 = 0.45, p < 0.001).
Fig. 5.
Fig. 5.. Recurrent putative high-frequency human-specific missense changes.
Each bar on the x axis represents a high-frequency human-specific missense change with the same allele found in a different species. Color schemes are the same as presented in Figs. 1 and 2.

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