51
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Hennelly LM, Habib B, Modi S, Rueness EK, Gaubert P, Sacks BN. Ancient divergence of Indian and Tibetan wolves revealed by recombination-aware phylogenomics. Mol Ecol 2021; 30:6687-6700. [PMID: 34398980 DOI: 10.1111/mec.16127] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 06/24/2021] [Accepted: 08/13/2021] [Indexed: 12/29/2022]
Abstract
The grey wolf (Canis lupus) expanded its range across Holarctic regions during the late Pleistocene. Consequently, most grey wolves share recent (<100,000 years ago) maternal origins corresponding to a widespread Holarctic clade. However, two deeply divergent (200,000-700,000 years ago) mitochondrial clades are restricted, respectively, to the Indian subcontinent and the Tibetan Plateau, where remaining wolves are endangered. No genome-wide analysis had previously included wolves corresponding to the mitochondrial Indian clade or attempted to parse gene flow and phylogeny. We sequenced four Indian and two Tibetan wolves and included 31 additional canid genomes to resolve the phylogenomic history of grey wolves. Genomic analyses revealed Indian and Tibetan wolves to be distinct from each other and from broadly distributed wolf populations corresponding to the mitochondrial Holarctic clade. Despite gene flow, which was reflected disproportionately in high-recombination regions of the genome, analyses revealed Indian and Tibetan wolves to be basal to Holarctic grey wolves, in agreement with the mitochondrial phylogeny. In contrast to mitochondrial DNA, however, genomic findings suggest the possibility that the Indian wolf could be basal to the Tibetan wolf, a discordance potentially reflecting selection on the mitochondrial genome. Together, these findings imply that southern regions of Asia have been important centers for grey wolf evolution and that Indian and Tibetan wolves represent evolutionary significant units (ESUs). Further study is needed to assess whether these ESUs warrant recognition as distinct species. This question is especially urgent regarding the Indian wolf, which represents one of the world's most endangered wolf populations.
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Affiliation(s)
- Lauren M Hennelly
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Bilal Habib
- Department of Animal Ecology and Conservation, Wildlife Institute of India, Dehradun, Uttarakhand, India
| | - Shrushti Modi
- Department of Animal Ecology and Conservation, Wildlife Institute of India, Dehradun, Uttarakhand, India
| | - Eli K Rueness
- Department of Biosciences, University of Oslo, Oslo, Norway
| | - Philippe Gaubert
- Laboratoire Evolution et Diversité Biologique (EDB), CNRS/UPS/IRD, Université Toulouse III Paul Sabatier - Bâtiment 4R1, Toulouse cedex 9, France
| | - Benjamin N Sacks
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, California, USA.,Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
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52
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Danguy des Déserts A, Bouchet S, Sourdille P, Servin B. Evolution of Recombination Landscapes in Diverging Populations of Bread Wheat. Genome Biol Evol 2021; 13:evab152. [PMID: 34185074 PMCID: PMC8350361 DOI: 10.1093/gbe/evab152] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2021] [Indexed: 11/16/2022] Open
Abstract
Reciprocal exchanges of DNA (crossovers) that occur during meiosis are mandatory to ensure the production of fertile gametes in sexually reproducing species. They also contribute to shuffle parental alleles into new combinations thereby fueling genetic variation and evolution. However, due to biological constraints, the recombination landscape is highly heterogeneous along the genome which limits the range of allelic combinations and the adaptability of populations. An approach to better understand the constraints on the recombination process is to study how it evolved in the past. In this work, we tackled this question by constructing recombination profiles in four diverging bread wheat (Triticum aestivum L.) populations established from 371 landraces genotyped at 200,062 SNPs. We used linkage disequilibrium (LD) patterns to estimate in each population the past distribution of recombination along the genome and characterize its fine-scale heterogeneity. At the megabase scale, recombination rates derived from LD patterns were consistent with family-based estimates obtained from a population of 406 recombinant inbred lines. Among the four populations, recombination landscapes were positively correlated between each other and shared a statistically significant proportion of highly recombinant intervals. However, this comparison also highlighted that the similarity in recombination landscapes between populations was significantly decreasing with their genetic differentiation in most regions of the genome. This observation was found to be robust to SNPs ascertainment and demography and suggests a relatively rapid evolution of factors determining the fine-scale localization of recombination in bread wheat.
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Affiliation(s)
- Alice Danguy des Déserts
- INRAE-Université Clermont-Auvergne, UMR1095, Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
| | - Sophie Bouchet
- INRAE-Université Clermont-Auvergne, UMR1095, Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
| | - Pierre Sourdille
- INRAE-Université Clermont-Auvergne, UMR1095, Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
| | - Bertrand Servin
- INRAE, Université de Toulouse, GenPhySE, Castanet-Tolosan, France
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53
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Hasan AR, Ness RW. Recombination Rate Variation and Infrequent Sex Influence Genetic Diversity in Chlamydomonas reinhardtii. Genome Biol Evol 2021; 12:370-380. [PMID: 32181819 PMCID: PMC7186780 DOI: 10.1093/gbe/evaa057] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2020] [Indexed: 12/12/2022] Open
Abstract
Recombination confers a major evolutionary advantage by breaking up linkage disequilibrium between harmful and beneficial mutations, thereby facilitating selection. However, in species that are only periodically sexual, such as many microbial eukaryotes, the realized rate of recombination is also affected by the frequency of sex, meaning that infrequent sex can increase the effects of selection at linked sites despite high recombination rates. Despite this, the rate of sex of most facultatively sexual species is unknown. Here, we use genomewide patterns of linkage disequilibrium to infer fine-scale recombination rate variation in the genome of the facultatively sexual green alga Chlamydomonas reinhardtii. We observe recombination rate variation of up to two orders of magnitude and find evidence of recombination hotspots across the genome. Recombination rate is highest flanking genes, consistent with trends observed in other nonmammalian organisms, though intergenic recombination rates vary by intergenic tract length. We also find a positive relationship between nucleotide diversity and physical recombination rate, suggesting a widespread influence of selection at linked sites in the genome. Finally, we use estimates of the effective rate of recombination to calculate the rate of sex that occurs in natural populations, estimating a sexual cycle roughly every 840 generations. We argue that the relatively infrequent rate of sex and large effective population size creates a population genetic environment that increases the influence of selection on linked sites across the genome.
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Affiliation(s)
- Ahmed R Hasan
- Department of Cell and Systems Biology, University of Toronto, Ontario, Canada.,Department of Biology, University of Toronto Mississauga, Ontario, Canada
| | - Rob W Ness
- Department of Cell and Systems Biology, University of Toronto, Ontario, Canada.,Department of Biology, University of Toronto Mississauga, Ontario, Canada
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54
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Mihola O, Landa V, Pratto F, Brick K, Kobets T, Kusari F, Gasic S, Smagulova F, Grey C, Flachs P, Gergelits V, Tresnak K, Silhavy J, Mlejnek P, Camerini-Otero RD, Pravenec M, Petukhova GV, Trachtulec Z. Rat PRDM9 shapes recombination landscapes, duration of meiosis, gametogenesis, and age of fertility. BMC Biol 2021; 19:86. [PMID: 33910563 PMCID: PMC8082845 DOI: 10.1186/s12915-021-01017-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 04/01/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Vertebrate meiotic recombination events are concentrated in regions (hotspots) that display open chromatin marks, such as trimethylation of lysines 4 and 36 of histone 3 (H3K4me3 and H3K36me3). Mouse and human PRDM9 proteins catalyze H3K4me3 and H3K36me3 and determine hotspot positions, whereas other vertebrates lacking PRDM9 recombine in regions with chromatin already opened for another function, such as gene promoters. While these other vertebrate species lacking PRDM9 remain fertile, inactivation of the mouse Prdm9 gene, which shifts the hotspots to the functional regions (including promoters), typically causes gross fertility reduction; and the reasons for these species differences are not clear. RESULTS We introduced Prdm9 deletions into the Rattus norvegicus genome and generated the first rat genome-wide maps of recombination-initiating double-strand break hotspots. Rat strains carrying the same wild-type Prdm9 allele shared 88% hotspots but strains with different Prdm9 alleles only 3%. After Prdm9 deletion, rat hotspots relocated to functional regions, about 40% to positions corresponding to Prdm9-independent mouse hotspots, including promoters. Despite the hotspot relocation and decreased fertility, Prdm9-deficient rats of the SHR/OlaIpcv strain produced healthy offspring. The percentage of normal pachytene spermatocytes in SHR-Prdm9 mutants was almost double than in the PWD male mouse oligospermic sterile mutants. We previously found a correlation between the crossover rate and sperm presence in mouse Prdm9 mutants. The crossover rate of SHR is more similar to sperm-carrying mutant mice, but it did not fully explain the fertility of the SHR mutants. Besides mild meiotic arrests at rat tubular stages IV (mid-pachytene) and XIV (metaphase), we also detected postmeiotic apoptosis of round spermatids. We found delayed meiosis and age-dependent fertility in both sexes of the SHR mutants. CONCLUSIONS We hypothesize that the relative increased fertility of rat versus mouse Prdm9 mutants could be ascribed to extended duration of meiotic prophase I. While rat PRDM9 shapes meiotic recombination landscapes, it is unnecessary for recombination. We suggest that PRDM9 has additional roles in spermatogenesis and speciation-spermatid development and reproductive age-that may help to explain male-specific hybrid sterility.
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Affiliation(s)
- Ondrej Mihola
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Vladimir Landa
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Florencia Pratto
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kevin Brick
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Tatyana Kobets
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Fitore Kusari
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Srdjan Gasic
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Fatima Smagulova
- Department of Biochemistry and Molecular Biology, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
- Present address: Inserm U1085 IRSET, 35042, Rennes, France
| | - Corinne Grey
- Institut de Génétique Humaine, CNRS UMR 9002, 34396, Montpellier, France
| | - Petr Flachs
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
- Present address: Division BIOCEV, Laboratory of Epigenetics of the Cell Nucleus, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Vaclav Gergelits
- Laboratory of Mouse Molecular Genetics, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Karel Tresnak
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Jan Silhavy
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Petr Mlejnek
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - R Daniel Camerini-Otero
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Michal Pravenec
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Galina V Petukhova
- Department of Biochemistry and Molecular Biology, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - Zdenek Trachtulec
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic.
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55
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Wang MS, Wang S, Li Y, Jhala Y, Thakur M, Otecko NO, Si JF, Chen HM, Shapiro B, Nielsen R, Zhang YP, Wu DD. Ancient Hybridization with an Unknown Population Facilitated High-Altitude Adaptation of Canids. Mol Biol Evol 2021; 37:2616-2629. [PMID: 32384152 DOI: 10.1093/molbev/msaa113] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Genetic introgression not only provides material for adaptive evolution but also confounds our understanding of evolutionary history. This is particularly true for canids, a species complex in which genome sequencing and analysis has revealed a complex history of admixture and introgression. Here, we sequence 19 new whole genomes from high-altitude Tibetan and Himalayan wolves and dogs and combine these into a larger data set of 166 whole canid genomes. Using these data, we explore the evolutionary history and adaptation of these and other canid lineages. We find that Tibetan and Himalayan wolves are closely related to each other, and that ∼39% of their nuclear genome is derived from an as-yet-unrecognized wolf-like lineage that is deeply diverged from living Holarctic wolves and dogs. The EPAS1 haplotype, which is present at high frequencies in Tibetan dog breeds and wolves and confers an adaptive advantage to animals living at high altitudes, was probably derived from this ancient lineage. Our study underscores the complexity of canid evolution and demonstrates how admixture and introgression can shape the evolutionary trajectories of species.
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Affiliation(s)
- Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Yan Li
- State Key Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China
| | | | - Mukesh Thakur
- Zoological Survey of India, New Alipore, Kolkata, West Bengal, India
| | - Newton O Otecko
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Jing-Fang Si
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hong-Man Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Beth Shapiro
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA
| | - Rasmus Nielsen
- Departments of Integrative Biology and Statistics, University of California Berkeley, Berkeley, CA.,Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,State Key Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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56
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Kawakami T, Jensen MK, Slavney A, Deane PE, Milano A, Raghavan V, Ford B, Chu ET, Sams AJ, Boyko AR. R-locus for roaned coat is associated with a tandem duplication in an intronic region of USH2A in dogs and also contributes to Dalmatian spotting. PLoS One 2021; 16:e0248233. [PMID: 33755696 PMCID: PMC7987146 DOI: 10.1371/journal.pone.0248233] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/22/2021] [Indexed: 11/18/2022] Open
Abstract
Structural variations (SVs) represent a large fraction of all genetic diversity, but how this genetic diversity is translated into phenotypic and organismal diversity is unclear. Explosive diversification of dog coat color and patterns after domestication can provide a unique opportunity to explore this question; however, the major obstacle is to efficiently collect a sufficient number of individuals with known phenotypes and genotypes of hundreds of thousands of markers. Using customer-provided information about coat color and patterns of dogs tested on a commercial canine genotyping platform, we identified a genomic region on chromosome 38 that is strongly associated with a mottled coat pattern (roaning) by genome-wide association study. We identified a putative causal variant in this region, an 11-kb tandem duplication (11,131,835–11,143,237) characterized by sequence read coverage and discordant reads of whole-genome sequence data, microarray probe intensity data, and a duplication-specific PCR assay. The tandem duplication is in an intronic region of usherin gene (USH2A), which was perfectly associated with roaning but absent in non-roaned dogs. We detected strong selection signals in this region characterized by reduced nucleotide diversity (π), increased runs of homozygosity, and extended haplotype homozygosity in Wirehaired Pointing Griffons and Australian Cattle Dogs (typically roaned breeds), as well as elevated genetic difference (FST) between Wirehaired Pointing Griffon (roaned) and Labrador Retriever (non-roaned). Surprisingly, all Dalmatians (N = 262) carried the duplication embedded in identical or similar haplotypes with roaned dogs, indicating this region as a shared target of selection during the breed’s formation. We propose that the Dalmatian’s unique spots were a derived coat pattern by establishing a novel epistatic interaction between roaning “R-locus” on chromosome 38 and an uncharacterized modifier locus. These results highlight the utility of consumer-oriented genotype and phenotype data in the discovery of genomic regions contributing to phenotypic diversity in dogs.
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Affiliation(s)
- Takeshi Kawakami
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
- * E-mail: (ARB); (TK)
| | - Meghan K. Jensen
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Andrea Slavney
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Petra E. Deane
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Ausra Milano
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Vandana Raghavan
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Brett Ford
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Erin T. Chu
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Aaron J. Sams
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Adam R. Boyko
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
- * E-mail: (ARB); (TK)
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57
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Schield DR, Pasquesi GIM, Perry BW, Adams RH, Nikolakis ZL, Westfall AK, Orton RW, Meik JM, Mackessy SP, Castoe TA. Snake Recombination Landscapes Are Concentrated in Functional Regions despite PRDM9. Mol Biol Evol 2021; 37:1272-1294. [PMID: 31926008 DOI: 10.1093/molbev/msaa003] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Meiotic recombination in vertebrates is concentrated in hotspots throughout the genome. The location and stability of hotspots have been linked to the presence or absence of PRDM9, leading to two primary models for hotspot evolution derived from mammals and birds. Species with PRDM9-directed recombination have rapid turnover of hotspots concentrated in intergenic regions (i.e., mammals), whereas hotspots in species lacking PRDM9 are concentrated in functional regions and have greater stability over time (i.e., birds). Snakes possess PRDM9, yet virtually nothing is known about snake recombination. Here, we examine the recombination landscape and test hypotheses about the roles of PRDM9 in rattlesnakes. We find substantial variation in recombination rate within and among snake chromosomes, and positive correlations between recombination rate and gene density, GC content, and genetic diversity. Like mammals, snakes appear to have a functional and active PRDM9, but rather than being directed away from genes, snake hotspots are concentrated in promoters and functional regions-a pattern previously associated only with species that lack a functional PRDM9. Snakes therefore provide a unique example of recombination landscapes in which PRDM9 is functional, yet recombination hotspots are associated with functional genic regions-a combination of features that defy existing paradigms for recombination landscapes in vertebrates. Our findings also provide evidence that high recombination rates are a shared feature of vertebrate microchromosomes. Our results challenge previous assumptions about the adaptive role of PRDM9 and highlight the diversity of recombination landscape features among vertebrate lineages.
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Affiliation(s)
- Drew R Schield
- Department of Biology, University of Texas at Arlington, Arlington, TX
| | | | - Blair W Perry
- Department of Biology, University of Texas at Arlington, Arlington, TX
| | - Richard H Adams
- Department of Biology, University of Texas at Arlington, Arlington, TX.,Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL
| | | | | | - Richard W Orton
- Department of Biology, University of Texas at Arlington, Arlington, TX
| | - Jesse M Meik
- Department of Biological Sciences, Tarleton State University, Stephenville, TX
| | - Stephen P Mackessy
- School of Biological Sciences, University of Northern Colorado, Greeley, CO
| | - Todd A Castoe
- Department of Biology, University of Texas at Arlington, Arlington, TX
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58
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Halo JV, Pendleton AL, Shen F, Doucet AJ, Derrien T, Hitte C, Kirby LE, Myers B, Sliwerska E, Emery S, Moran JV, Boyko AR, Kidd JM. Long-read assembly of a Great Dane genome highlights the contribution of GC-rich sequence and mobile elements to canine genomes. Proc Natl Acad Sci U S A 2021; 118:e2016274118. [PMID: 33836575 PMCID: PMC7980453 DOI: 10.1073/pnas.2016274118] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Technological advances have allowed improvements in genome reference sequence assemblies. Here, we combined long- and short-read sequence resources to assemble the genome of a female Great Dane dog. This assembly has improved continuity compared to the existing Boxer-derived (CanFam3.1) reference genome. Annotation of the Great Dane assembly identified 22,182 protein-coding gene models and 7,049 long noncoding RNAs, including 49 protein-coding genes not present in the CanFam3.1 reference. The Great Dane assembly spans the majority of sequence gaps in the CanFam3.1 reference and illustrates that 2,151 gaps overlap the transcription start site of a predicted protein-coding gene. Moreover, a subset of the resolved gaps, which have an 80.95% median GC content, localize to transcription start sites and recombination hotspots more often than expected by chance, suggesting the stable canine recombinational landscape has shaped genome architecture. Alignment of the Great Dane and CanFam3.1 assemblies identified 16,834 deletions and 15,621 insertions, as well as 2,665 deletions and 3,493 insertions located on secondary contigs. These structural variants are dominated by retrotransposon insertion/deletion polymorphisms and include 16,221 dimorphic canine short interspersed elements (SINECs) and 1,121 dimorphic long interspersed element-1 sequences (LINE-1_Cfs). Analysis of sequences flanking the 3' end of LINE-1_Cfs (i.e., LINE-1_Cf 3'-transductions) suggests multiple retrotransposition-competent LINE-1_Cfs segregate among dog populations. Consistent with this conclusion, we demonstrate that a canine LINE-1_Cf element with intact open reading frames can retrotranspose its own RNA and that of a SINEC_Cf consensus sequence in cultured human cells, implicating ongoing retrotransposon activity as a driver of canine genetic variation.
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Affiliation(s)
- Julia V Halo
- Department of Biological Sciences, Bowling Green State University, Bowling Green, OH 43403
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Amanda L Pendleton
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Feichen Shen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Aurélien J Doucet
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
- Université Côte d'Azur, CNRS, INSERM, Institut de Recherche sur le Cancer et le Vieillissement de Nice, F-06100 Nice, France
| | - Thomas Derrien
- Université de Rennes 1, CNRS, Institut de Génétique et Développement de Rennes-UMR 6290, F-35000 Rennes, France
| | - Christophe Hitte
- Université de Rennes 1, CNRS, Institut de Génétique et Développement de Rennes-UMR 6290, F-35000 Rennes, France
| | - Laura E Kirby
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Bridget Myers
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Elzbieta Sliwerska
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - Sarah Emery
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
| | - John V Moran
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, Ithaca, NY 14850
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109;
- Department Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
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59
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Ramos-Madrigal J, Sinding MHS, Carøe C, Mak SST, Niemann J, Samaniego Castruita JA, Fedorov S, Kandyba A, Germonpré M, Bocherens H, Feuerborn TR, Pitulko VV, Pavlova EY, Nikolskiy PA, Kasparov AK, Ivanova VV, Larson G, Frantz LAF, Willerslev E, Meldgaard M, Petersen B, Sicheritz-Ponten T, Bachmann L, Wiig Ø, Hansen AJ, Gilbert MTP, Gopalakrishnan S. Genomes of Pleistocene Siberian Wolves Uncover Multiple Extinct Wolf Lineages. Curr Biol 2021; 31:198-206.e8. [PMID: 33125870 PMCID: PMC7809626 DOI: 10.1016/j.cub.2020.10.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 07/28/2020] [Accepted: 10/01/2020] [Indexed: 12/30/2022]
Abstract
Extant Canis lupus genetic diversity can be grouped into three phylogenetically distinct clades: Eurasian and American wolves and domestic dogs.1 Genetic studies have suggested these groups trace their origins to a wolf population that expanded during the last glacial maximum (LGM)1-3 and replaced local wolf populations.4 Moreover, ancient genomes from the Yana basin and the Taimyr peninsula provided evidence of at least one extinct wolf lineage that dwelled in Siberia during the Pleistocene.35 Previous studies have suggested that Pleistocene Siberian canids can be classified into two groups based on cranial morphology. Wolves in the first group are most similar to present-day populations, although those in the second group possess intermediate features between dogs and wolves.67 However, whether this morphological classification represents distinct genetic groups remains unknown. To investigate this question and the relationships between Pleistocene canids, present-day wolves, and dogs, we resequenced the genomes of four Pleistocene canids from Northeast Siberia dated between >50 and 14 ka old, including samples from the two morphological categories. We found these specimens cluster with the two previously sequenced Pleistocene wolves, which are genetically more similar to Eurasian wolves. Our results show that, though the four specimens represent extinct wolf lineages, they do not form a monophyletic group. Instead, each Pleistocene Siberian canid branched off the lineage that gave rise to present-day wolves and dogs. Finally, our results suggest the two previously described morphological groups could represent independent lineages similarly related to present-day wolves and dogs.
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Affiliation(s)
- Jazmín Ramos-Madrigal
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel-Holger S Sinding
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Natural History Museum, University of Oslo, Oslo, Norway; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; Greenland Institute of Natural Resources, Nuuk, Greenland; Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Christian Carøe
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Sarah S T Mak
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Niemann
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - Sergey Fedorov
- Mammoth Museum of North-Eastern Federal University, Yakutsk, Russia
| | - Alexander Kandyba
- Department of Stone Age Archeology, Institute of Archaeology and Ethnography of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Mietje Germonpré
- Directorate Earth and History of Life, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
| | - Hervé Bocherens
- Department of Geosciences, Biogeology, University of Tübingen, Tübingen, Germany; Senckenberg Centre for Human Evolution and Palaeoenvironment, Tübingen, Germany
| | - Tatiana R Feuerborn
- Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; Section for GeoGenetics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Vladimir V Pitulko
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Elena Y Pavlova
- Arctic and Antarctic Research Institute, St. Petersburg, Russia
| | | | - Aleksei K Kasparov
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Varvara V Ivanova
- VNIIOkeangeologia Research Institute (The All-Russian Research Institute of Geology and Mineral Resources of the World Ocean), St. Petersburg, Russia
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Laurent A F Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK; Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - Eske Willerslev
- Section for GeoGenetics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Danish Institute for Advanced Study (D-IAS), University of Southern Denmark, Odense, Denmark; Department of Zoology, University of Cambridge, Cambridge, UK; Wellcome Trust Sanger Institute, University of Cambridge, Cambridge, UK
| | - Morten Meldgaard
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; Section for GeoGenetics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Bent Petersen
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Thomas Sicheritz-Ponten
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Lutz Bachmann
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Øystein Wiig
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Anders J Hansen
- Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; Section for GeoGenetics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Shyam Gopalakrishnan
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
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Sarabia C, vonHoldt B, Larrasoaña JC, Uríos V, Leonard JA. Pleistocene climate fluctuations drove demographic history of African golden wolves (Canis lupaster). Mol Ecol 2020; 30:6101-6120. [PMID: 33372365 DOI: 10.1111/mec.15784] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 12/03/2020] [Accepted: 12/14/2020] [Indexed: 12/31/2022]
Abstract
Pleistocene climate change impacted entire ecosystems throughout the world. In the northern hemisphere, the distribution of Arctic species expanded during glacial periods, while more temperate and mesic species contracted into climatic refugia, where isolation drove genetic divergence. Cycles of local cooling and warming in the Sahara region of northern Africa caused repeated contractions and expansions of savannah-like environments which connected mesic species isolated in refugia during interglacial times, possibly driving population expansions and contractions; divergence and geneflow in the associated fauna. Here, we use whole genome sequences of African golden wolves (Canis lupaster), a generalist mesopredator with a wide distribution in northern Africa to estimate their demographic history and past episodes of geneflow. We detect a correlation between divergence times and cycles of increased aridity-associated Pleistocene glacial cycles. A complex demographic history with responses to local climate change in different lineages was found, including a relict lineage north of the High Atlas Mountains of Morocco that has been isolated for more than 18,000 years, possibly a distinct ecotype.
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Affiliation(s)
- Carlos Sarabia
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC, Seville, Spain
| | - Bridgett vonHoldt
- Faculty of Ecology and Evolutionary Biology, University of Princeton, Princeton, NJ, USA
| | | | - Vicente Uríos
- Vertebrate Zoology Research Group, University of Alicante, Alicante, Spain
| | - Jennifer A Leonard
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC, Seville, Spain
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Sams AJ, Ford B, Gardner A, Boyko AR. Examination of the efficacy of small genetic panels in genomic conservation of companion animal populations. Evol Appl 2020; 13:2555-2565. [PMID: 33294008 PMCID: PMC7691451 DOI: 10.1111/eva.13038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 04/26/2020] [Accepted: 04/29/2020] [Indexed: 11/30/2022] Open
Abstract
In many ways, dogs are an ideal model for the study of genetic erosion and population recovery, problems of major concern in the field of conservation genetics. Genetic diversity in many dog breeds has been declining systematically since the beginning of the 1800s, when modern breeding practices came into fashion. As such, inbreeding in domestic dog breeds is substantial and widespread and has led to an increase in recessive deleterious mutations of high effect as well as general inbreeding depression. Pedigrees can in theory be used to guide breeding decisions, though are often incomplete and do not reflect the full history of inbreeding. Small microsatellite panels are also used in some cases to choose mating pairs to produce litters with low levels of inbreeding. However, the long-term impact of such practices has not been thoroughly evaluated. Here, we use forward simulation on a model of the dog genome to examine the impact of using limited marker panels to guide pairwise mating decisions on genome-wide population-level genetic diversity. Our results suggest that in unmanaged populations, where breeding decisions are made at the pairwise-rather than population-level, such panels can lead to accelerated loss of genetic diversity at genome regions unlinked to panel markers, compared to random mating. These results demonstrate the importance of genome-wide genetic panels for managing and conserving genetic diversity in dogs and other companion animals.
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Affiliation(s)
| | - Brett Ford
- Embark Veterinary, IncorporatedBostonMAUSA
| | | | - Adam R. Boyko
- Embark Veterinary, IncorporatedBostonMAUSA
- Department of Biomedical SciencesCollege of Veterinary MedicineCornell UniversityIthacaNYUSA
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Powers NR, Dumont BL, Emori C, Lawal RA, Brunton C, Paigen K, Handel MA, Bolcun-Filas E, Petkov PM, Bhattacharyya T. Sexual dimorphism in the meiotic requirement for PRDM9: A mammalian evolutionary safeguard. SCIENCE ADVANCES 2020; 6:6/43/eabb6606. [PMID: 33097538 PMCID: PMC7608834 DOI: 10.1126/sciadv.abb6606] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 09/03/2020] [Indexed: 05/14/2023]
Abstract
In many mammals, genomic sites for recombination are determined by the histone methyltransferase PRMD9. Some mouse strains lacking PRDM9 are infertile, but instances of fertility or semifertility in the absence of PRDM9 have been reported in mice, canines, and a human female. Such findings raise the question of how the loss of PRDM9 is circumvented to maintain fertility. We show that genetic background and sex-specific modifiers can obviate the requirement for PRDM9 in mice. Specifically, the meiotic DNA damage checkpoint protein CHK2 acts as a modifier allowing female-specific fertility in the absence of PRDM9. We also report that, in the absence of PRDM9, a PRDM9-independent recombination system is compatible with female meiosis and fertility, suggesting sex-specific regulation of meiotic recombination, a finding with implications for speciation.
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Affiliation(s)
- Natalie R Powers
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Beth L Dumont
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Chihiro Emori
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | | | | | - Kenneth Paigen
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Mary Ann Handel
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | | | - Petko M Petkov
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
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Choi JY, Lee YCG. Double-edged sword: The evolutionary consequences of the epigenetic silencing of transposable elements. PLoS Genet 2020; 16:e1008872. [PMID: 32673310 PMCID: PMC7365398 DOI: 10.1371/journal.pgen.1008872] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Transposable elements (TEs) are genomic parasites that selfishly replicate at the expense of host fitness. Fifty years of evolutionary studies of TEs have concentrated on the deleterious genetic effects of TEs, such as their effects on disrupting genes and regulatory sequences. However, a flurry of recent work suggests that there is another important source of TEs' harmful effects-epigenetic silencing. Host genomes typically silence TEs by the deposition of repressive epigenetic marks. While this silencing reduces the selfish replication of TEs and should benefit hosts, a picture is emerging that the epigenetic silencing of TEs triggers inadvertent spreading of repressive marks to otherwise expressed neighboring genes, ultimately jeopardizing host fitness. In this Review, we provide a long-overdue overview of the recent genome-wide evidence for the presence and prevalence of TEs' epigenetic effects, highlighting both the similarities and differences across mammals, insects, and plants. We lay out the current understanding of the functional and fitness consequences of TEs' epigenetic effects, and propose possible influences of such effects on the evolution of both hosts and TEs themselves. These unique evolutionary consequences indicate that TEs' epigenetic effect is not only a crucial component of TE biology but could also be a significant contributor to genome function and evolution.
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Affiliation(s)
- Jae Young Choi
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York State, United States of America
| | - Yuh Chwen G. Lee
- Department of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America
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64
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Sinding MHS, Gopalakrishnan S, Ramos-Madrigal J, de Manuel M, Pitulko VV, Kuderna L, Feuerborn TR, Frantz LAF, Vieira FG, Niemann J, Samaniego Castruita JA, Carøe C, Andersen-Ranberg EU, Jordan PD, Pavlova EY, Nikolskiy PA, Kasparov AK, Ivanova VV, Willerslev E, Skoglund P, Fredholm M, Wennerberg SE, Heide-Jørgensen MP, Dietz R, Sonne C, Meldgaard M, Dalén L, Larson G, Petersen B, Sicheritz-Pontén T, Bachmann L, Wiig Ø, Marques-Bonet T, Hansen AJ, Gilbert MTP. Arctic-adapted dogs emerged at the Pleistocene-Holocene transition. Science 2020; 368:1495-1499. [PMID: 32587022 PMCID: PMC7116267 DOI: 10.1126/science.aaz8599] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 05/06/2020] [Indexed: 12/18/2022]
Abstract
Although sled dogs are one of the most specialized groups of dogs, their origin and evolution has received much less attention than many other dog groups. We applied a genomic approach to investigate their spatiotemporal emergence by sequencing the genomes of 10 modern Greenland sled dogs, an ~9500-year-old Siberian dog associated with archaeological evidence for sled technology, and an ~33,000-year-old Siberian wolf. We found noteworthy genetic similarity between the ancient dog and modern sled dogs. We detected gene flow from Pleistocene Siberian wolves, but not modern American wolves, to present-day sled dogs. The results indicate that the major ancestry of modern sled dogs traces back to Siberia, where sled dog-specific haplotypes of genes that potentially relate to Arctic adaptation were established by 9500 years ago.
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Affiliation(s)
- Mikkel-Holger S Sinding
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
- Natural History Museum, University of Oslo, Oslo, Norway
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
- Greenland Institute of Natural Resources, Nuuk, Greenland
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | | | - Marc de Manuel
- Institute of Evolutionary Biology (UPF-CSIC), Barcelona, Spain
| | - Vladimir V Pitulko
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Lukas Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), Barcelona, Spain
| | - Tatiana R Feuerborn
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Laurent A F Frantz
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Filipe G Vieira
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Niemann
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- BioArch, Department of Archaeology, University of York, York, UK
| | | | - Christian Carøe
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Emilie U Andersen-Ranberg
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
- Department of Clinical Veterinary Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Peter D Jordan
- Arctic Centre and Groningen Institute of Archaeology, University of Groningen, Netherlands
| | - Elena Y Pavlova
- Arctic and Antarctic Research Institute, St. Petersburg, Russia
| | | | - Aleksei K Kasparov
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Varvara V Ivanova
- VNIIOkeangeologia Research Institute (The All-Russian Research Institute of Geology and Mineral Resources of the World Ocean), St. Petersburg, Russia
| | - Eske Willerslev
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Danish Institute for Advanced Study (D-IAS), University of Southern Denmark, Odense, Denmark
- Department of Zoology, University of Cambridge, Cambridge, UK
- Wellcome Trust Sanger Institute, University of Cambridge, Cambridge, UK
| | - Pontus Skoglund
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Francis Crick Institute, London, UK
| | - Merete Fredholm
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Sanne Eline Wennerberg
- Ministry of Fisheries, Hunting and Agriculture, Government of Greenland, Nuuk, Greenland
| | | | - Rune Dietz
- Department of Bioscience, Arctic Research Centre, Aarhus University, Roskilde, Denmark
| | - Christian Sonne
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
- Department of Bioscience, Arctic Research Centre, Aarhus University, Roskilde, Denmark
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, Henan, China
| | - Morten Meldgaard
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
| | - Love Dalén
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Bent Petersen
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Thomas Sicheritz-Pontén
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Lutz Bachmann
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Øystein Wiig
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), Barcelona, Spain.
- Catalan Institution of Research and Advanced Studies, Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anders J Hansen
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
- The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
| | - M Thomas P Gilbert
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
- University Museum, Norwegian University of Science and Technology, Trondheim, Norway
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Schwarzkopf EJ, Motamayor JC, Cornejo OE. Genetic differentiation and intrinsic genomic features explain variation in recombination hotspots among cocoa tree populations. BMC Genomics 2020; 21:332. [PMID: 32349675 PMCID: PMC7191684 DOI: 10.1186/s12864-020-6746-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/21/2020] [Indexed: 12/16/2022] Open
Abstract
Background Recombination plays an important evolutionary role by breaking up haplotypes and shuffling genetic variation. This process impacts the ability of selection to eliminate deleterious mutations or increase the frequency of beneficial mutations in a population. To understand the role of recombination generating and maintaining haplotypic variation in a population, we can construct fine-scale recombination maps. Such maps have been used to study a variety of model organisms and proven to be informative of how selection and demographics shape species-wide variation. Here we present a fine-scale recombination map for ten populations of Theobroma cacao – a non-model, long-lived, woody crop. We use this map to elucidate the dynamics of recombination rates in distinct populations of the same species, one of which is domesticated. Results Mean recombination rates in range between 2.5 and 8.6 cM/Mb for most populations of T. cacao with the exception of the domesticated Criollo (525 cM/Mb) and Guianna, a more recently established population (46.5 cM/Mb). We found little overlap in the location of hotspots of recombination across populations. We also found that hotspot regions contained fewer known retroelement sequences than expected and were overrepresented near transcription start and termination sites. We find mutations in FIGL-1, a protein shown to downregulate cross-over frequency in Arabidopsis, statistically associated to higher recombination rates in domesticated Criollo. Conclusions We generated fine-scale recombination maps for ten populations of Theobroma cacao and used them to understand what processes are associated with population-level variation in this species. Our results provide support to the hypothesis of increased recombination rates in domesticated plants (Criollo population). We propose a testable mechanistic hypothesis for the change in recombination rate in domesticated populations in the form of mutations to a previously identified recombination-suppressing protein. Finally, we establish a number of possible correlates of recombination hotspots that help explain general patterns of recombination in this species.
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Affiliation(s)
| | | | - Omar E Cornejo
- School of Biological Sciences, Washington State University, Pullman, WA, USA.
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Zhang SJ, Wang GD, Ma P, Zhang LL, Yin TT, Liu YH, Otecko NO, Wang M, Ma YP, Wang L, Mao B, Savolainen P, Zhang YP. Genomic regions under selection in the feralization of the dingoes. Nat Commun 2020; 11:671. [PMID: 32015346 PMCID: PMC6997406 DOI: 10.1038/s41467-020-14515-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 12/16/2019] [Indexed: 12/30/2022] Open
Abstract
Dingoes are wild canids living in Australia, originating from domestic dogs. They have lived isolated from both the wild and the domestic ancestor, making them a unique model for studying feralization. Here, we sequence the genomes of 10 dingoes and 2 New Guinea Singing Dogs. Phylogenetic and demographic analyses show that dingoes originate from dogs in southern East Asia, which migrated via Island Southeast Asia to reach Australia around 8300 years ago, and subsequently diverged into a genetically distinct population. Selection analysis identifies 50 positively selected genes enriched in digestion and metabolism, indicating a diet change during feralization of dingoes. Thirteen of these genes have shifted allele frequencies compared to dogs but not compared to wolves. Functional assays show that an A-to-G mutation in ARHGEF7 decreases the endogenous expression, suggesting behavioral adaptations related to the transitions in environment. Our results indicate that the feralization of the dingo induced positive selection on genomic regions correlated to neurodevelopment, metabolism and reproduction, in adaptation to a wild environment.
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Affiliation(s)
- Shao-Jie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, Yunnan University, Kunming, 650091, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
| | - Pengcheng Ma
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Liang-Liang Zhang
- KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, SE-171 65, Solna, Sweden
| | - Ting-Ting Yin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Newton O Otecko
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Meng Wang
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, Yunnan University, Kunming, 650091, China
| | - Ya-Ping Ma
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, Yunnan University, Kunming, 650091, China
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, Yunnan University, Kunming, 650091, China
| | - Bingyu Mao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Peter Savolainen
- KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, Science for Life Laboratory, SE-171 65, Solna, Sweden.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, Yunnan University, Kunming, 650091, China.
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Lim MCW, Witt CC, Graham CH, Dávalos LM. Parallel Molecular Evolution in Pathways, Genes, and Sites in High-Elevation Hummingbirds Revealed by Comparative Transcriptomics. Genome Biol Evol 2019; 11:1552-1572. [PMID: 31028697 PMCID: PMC6553502 DOI: 10.1093/gbe/evz101] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2019] [Indexed: 12/13/2022] Open
Abstract
High-elevation organisms experience shared environmental challenges that include low oxygen availability, cold temperatures, and intense ultraviolet radiation. Consequently, repeated evolution of the same genetic mechanisms may occur across high-elevation taxa. To test this prediction, we investigated the extent to which the same biochemical pathways, genes, or sites were subject to parallel molecular evolution for 12 Andean hummingbird species (family: Trochilidae) representing several independent transitions to high elevation across the phylogeny. Across high-elevation species, we discovered parallel evolution for several pathways and genes with evidence of positive selection. In particular, positively selected genes were frequently part of cellular respiration, metabolism, or cell death pathways. To further examine the role of elevation in our analyses, we compared results for low- and high-elevation species and tested different thresholds for defining elevation categories. In analyses with different elevation thresholds, positively selected genes reflected similar functions and pathways, even though there were almost no specific genes in common. For example, EPAS1 (HIF2α), which has been implicated in high-elevation adaptation in other vertebrates, shows a signature of positive selection when high-elevation is defined broadly (>1,500 m), but not when defined narrowly (>2,500 m). Although a few biochemical pathways and genes change predictably as part of hummingbird adaptation to high-elevation conditions, independent lineages have rarely adapted via the same substitutions.
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Affiliation(s)
- Marisa C W Lim
- Department of Ecology and Evolution, Stony Brook University
| | - Christopher C Witt
- Museum of Southwestern Biology and Department of Biology, University of New Mexico
| | - Catherine H Graham
- Department of Ecology and Evolution, Stony Brook University.,Swiss Federal Research Institute (WSL), Birmensdorf, Switzerland
| | - Liliana M Dávalos
- Department of Ecology and Evolution, Stony Brook University.,Consortium for Inter-Disciplinary Environmental Research, Stony Brook University
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68
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Wang GD, Zhang M, Wang X, Yang MA, Cao P, Liu F, Lu H, Feng X, Skoglund P, Wang L, Fu Q, Zhang YP. Genomic Approaches Reveal an Endemic Subpopulation of Gray Wolves in Southern China. iScience 2019; 20:110-118. [PMID: 31563851 PMCID: PMC6817678 DOI: 10.1016/j.isci.2019.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/21/2019] [Accepted: 09/05/2019] [Indexed: 12/30/2022] Open
Abstract
Although gray wolves (Canis lupus) are one of the most widely distributed terrestrial mammals, their origins in China are not well understood. We sequenced six specimens from wolf skins, showing that gray wolves from Southern China (SC) derive from a single lineage, distinct from gray wolves from the Tibetan Plateau and Northern China, suggesting that SC gray wolves may form a distinct subpopulation. Of SC gray wolves, one wolf from Zhejiang carries a genetic component from a canid and had gene flow from a population related to or further diverged from wolves than the dhole. This may indicate that interspecific gene flow likely played an important role in shaping the speciation patterns and population structure in the genus Canis. Our study is the first to survey museum gray wolves' genomes from Southern China, highlighting how sequencing the paleogenome from museum specimens can help us to study extinct species.
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Affiliation(s)
- Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Ming Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China; Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Melinda A Yang
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China; Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China
| | - Heng Lu
- Department of Molecular and Cell Biology, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China
| | | | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China; Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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69
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Spence JP, Song YS. Inference and analysis of population-specific fine-scale recombination maps across 26 diverse human populations. SCIENCE ADVANCES 2019; 5:eaaw9206. [PMID: 31681842 PMCID: PMC6810367 DOI: 10.1126/sciadv.aaw9206] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 09/13/2019] [Indexed: 05/28/2023]
Abstract
Fine-scale rates of meiotic recombination vary by orders of magnitude across the genome and differ between species and even populations. Studying cross-population differences has been stymied by the confounding effects of demographic history. To address this problem, we developed a demography-aware method to infer fine-scale recombination rates and applied it to 26 diverse human populations, inferring population-specific recombination maps. These maps recapitulate many aspects of the history of these populations including signatures of the trans-Atlantic slave trade and the Iberian colonization of the Americas. We also investigated modulators of the local recombination rate, finding further evidence that Polycomb group proteins and the trimethylation of H3K27 elevate recombination rates. Further differences in the recombination landscape across the genome and between populations are driven by variation in the gene that encodes the DNA binding protein PRDM9, and we quantify the weak effect of meiotic drive acting to remove its binding sites.
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Affiliation(s)
- Jeffrey P. Spence
- Graduate Group in Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Yun S. Song
- Computer Science Division and Department of Statistics, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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70
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Schwarz T, Striedner Y, Horner A, Haase K, Kemptner J, Zeppezauer N, Hermann P, Tiemann-Boege I. PRDM9 forms a trimer by interactions within the zinc finger array. Life Sci Alliance 2019; 2:e201800291. [PMID: 31308055 PMCID: PMC6643046 DOI: 10.26508/lsa.201800291] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 07/02/2019] [Accepted: 07/03/2019] [Indexed: 11/24/2022] Open
Abstract
PRDM9 is a trans-acting factor directing meiotic recombination to specific DNA-binding sites by its zinc finger (ZnF) array. It was suggested that PRDM9 is a multimer; however, we do not know the stoichiometry or the components inducing PRDM9 multimerization. In this work, we used in vitro binding studies and characterized with electrophoretic mobility shift assays, mass spectrometry, and fluorescence correlation spectroscopy the stoichiometry of the PRDM9 multimer of two different murine PRDM9 alleles carrying different tags and domains produced with different expression systems. Based on the migration distance of the PRDM9-DNA complex, we show that PRDM9 forms a trimer. Moreover, this stoichiometry is adapted already by the free, soluble protein with little exchange between protein monomers. The variable ZnF array of PRDM9 is sufficient for multimerization, and at least five ZnFs form already a functional trimer. Finally, we also show that only one ZnF array within the PRDM9 oligomer binds to the DNA, whereas the remaining two ZnF arrays likely maintain the trimer by ZnF-ZnF interactions.
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Affiliation(s)
- Theresa Schwarz
- Institute of Biophysics, Johannes Kepler University, Linz, Austria
| | - Yasmin Striedner
- Institute of Biophysics, Johannes Kepler University, Linz, Austria
| | - Andreas Horner
- Institute of Biophysics, Johannes Kepler University, Linz, Austria
| | - Karin Haase
- Institute of Biophysics, Johannes Kepler University, Linz, Austria
| | - Jasmin Kemptner
- Red Cross Blood Transfusion Center Upper Austria, MedCampus II, Johannes Kepler University, Linz, Austria
| | | | - Philipp Hermann
- Institute of Applied Statistics, Johannes Kepler University, Linz, Austria
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71
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Chavez DE, Gronau I, Hains T, Kliver S, Koepfli KP, Wayne RK. Comparative genomics provides new insights into the remarkable adaptations of the African wild dog (Lycaon pictus). Sci Rep 2019; 9:8329. [PMID: 31171819 PMCID: PMC6554312 DOI: 10.1038/s41598-019-44772-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 05/22/2019] [Indexed: 12/02/2022] Open
Abstract
Within the Canidae, the African wild dog (Lycaon pictus) is the most specialized with regards to cursorial adaptations (specialized for running), having only four digits on their forefeet. In addition, this species is one of the few canids considered to be an obligate meat-eater, possessing a robust dentition for taking down large prey, and displays one of the most variable coat colorations amongst mammals. Here, we used comparative genomic analysis to investigate the evolutionary history and genetic basis for adaptations associated with cursoriality, hypercanivory, and coat color variation in African wild dogs. Genome-wide scans revealed unique amino acid deletions that suggest a mode of evolutionary digit loss through expanded apoptosis in the developing first digit. African wild dog-specific signals of positive selection also uncovered a putative mechanism of molar cusp modification through changes in genes associated with the sonic hedgehog (SHH) signaling pathway, required for spatial patterning of teeth, and three genes associated with pigmentation. Divergence time analyses suggest the suite of genomic changes we identified evolved ~1.7 Mya, coinciding with the diversification of large-bodied ungulates. Our results show that comparative genomics is a powerful tool for identifying the genetic basis of evolutionary changes in Canidae.
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Affiliation(s)
- Daniel E Chavez
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, 90095, USA.
| | - Ilan Gronau
- Efi Arazi School of Computer Science, Herzliya Interdisciplinary Center (IDC), Herzliya, 46150, Israel
| | - Taylor Hains
- Environmental Science and Policy, Johns Hopkins University, Washington, D.C., 20036, USA
| | - Sergei Kliver
- Institute of Molecular and Cellular Biology, Novosibirsk, 630090, Russian Federation
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, National Zoological Park, Washington, D.C., 20008, USA
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, Saint Petersburg, 199034, Russian Federation
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, 90095, USA
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72
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Lim MCW, Witt CC, Graham CH, Dávalos LM. Divergent Fine-Scale Recombination Landscapes between a Freshwater and Marine Population of Threespine Stickleback Fish. Genome Biol Evol 2019; 11:1573-1585. [PMID: 31028697 PMCID: PMC6553502 DOI: 10.1093/gbe/evz090] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/17/2019] [Indexed: 12/27/2022] Open
Abstract
Meiotic recombination is a highly conserved process that has profound effects on genome evolution. At a fine-scale, recombination rates can vary drastically across genomes, often localized into small recombination "hotspots" with highly elevated rates, surrounded by regions with little recombination. In most species studied, the location of hotspots within genomes is highly conserved across broad evolutionary timescales. The main exception to this pattern is in mammals, where hotspot location can evolve rapidly among closely related species and even among populations within a species. Hotspot position in mammals is controlled by the gene, Prdm9, whereas in species with conserved hotspots, a functional Prdm9 is typically absent. Due to a limited number of species where recombination rates have been estimated at a fine-scale, it remains unclear whether hotspot conservation is always associated with the absence of a functional Prdm9. Threespine stickleback fish (Gasterosteus aculeatus) are an excellent model to examine the evolution of recombination over short evolutionary timescales. Using a linkage disequilibrium-based approach, we found recombination rates indeed varied at a fine-scale across the genome, with many regions organized into narrow hotspots. Hotspots had highly divergent landscapes between stickleback populations, where only ∼15% of these hotspots were shared. Our results indicate that fine-scale recombination rates may be diverging between closely related populations of threespine stickleback fish. Interestingly, we found only a weak association of a PRDM9 binding motif within hotspots, which suggests that threespine stickleback fish may possess a novel mechanism for targeting recombination hotspots at a fine-scale.
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Affiliation(s)
- Marisa C W Lim
- Department of Ecology and Evolution, Stony Brook University
| | - Christopher C Witt
- Museum of Southwestern Biology and Department of Biology, University of New Mexico
| | - Catherine H Graham
- Department of Ecology and Evolution, Stony Brook University
- Swiss Federal Research Institute (WSL), Birmensdorf, Switzerland
| | - Liliana M Dávalos
- Department of Ecology and Evolution, Stony Brook University
- Consortium for Inter-Disciplinary Environmental Research, Stony Brook University
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73
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Toledo M, Sun X, Brieño-Enríquez MA, Raghavan V, Gray S, Pea J, Milano CR, Venkatesh A, Patel L, Borst PL, Alani E, Cohen PE. A mutation in the endonuclease domain of mouse MLH3 reveals novel roles for MutLγ during crossover formation in meiotic prophase I. PLoS Genet 2019; 15:e1008177. [PMID: 31170160 PMCID: PMC6588253 DOI: 10.1371/journal.pgen.1008177] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/21/2019] [Accepted: 05/07/2019] [Indexed: 12/12/2022] Open
Abstract
During meiotic prophase I, double-strand breaks (DSBs) initiate homologous recombination leading to non-crossovers (NCOs) and crossovers (COs). In mouse, 10% of DSBs are designated to become COs, primarily through a pathway dependent on the MLH1-MLH3 heterodimer (MutLγ). Mlh3 contains an endonuclease domain that is critical for resolving COs in yeast. We generated a mouse (Mlh3DN/DN) harboring a mutation within this conserved domain that is predicted to generate a protein that is catalytically inert. Mlh3DN/DN males, like fully null Mlh3-/- males, have no spermatozoa and are infertile, yet spermatocytes have grossly normal DSBs and synapsis events in early prophase I. Unlike Mlh3-/- males, mutation of the endonuclease domain within MLH3 permits normal loading and frequency of MutLγ in pachynema. However, key DSB repair factors (RAD51) and mediators of CO pathway choice (BLM helicase) persist into pachynema in Mlh3DN/DN males, indicating a temporal delay in repair events and revealing a mechanism by which alternative DSB repair pathways may be selected. While Mlh3DN/DN spermatocytes retain only 22% of wildtype chiasmata counts, this frequency is greater than observed in Mlh3-/- males (10%), suggesting that the allele may permit partial endonuclease activity, or that other pathways can generate COs from these MutLγ-defined repair intermediates in Mlh3DN/DN males. Double mutant mice homozygous for the Mlh3DN/DN and Mus81-/- mutations show losses in chiasmata close to those observed in Mlh3-/- males, indicating that the MUS81-EME1-regulated crossover pathway can only partially account for the increased residual chiasmata in Mlh3DN/DN spermatocytes. Our data demonstrate that mouse spermatocytes bearing the MLH1-MLH3DN/DN complex display the proper loading of factors essential for CO resolution (MutSγ, CDK2, HEI10, MutLγ). Despite these functions, mice bearing the Mlh3DN/DN allele show defects in the repair of meiotic recombination intermediates and a loss of most chiasmata.
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Affiliation(s)
- Melissa Toledo
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Xianfei Sun
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
| | - Miguel A. Brieño-Enríquez
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Vandana Raghavan
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, United States of America
| | - Stephen Gray
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Jeffrey Pea
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Carolyn R. Milano
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Anita Venkatesh
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
| | - Lekha Patel
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
| | - Peter L. Borst
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
| | - Eric Alani
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, United States of America
| | - Paula E. Cohen
- Department of Biomedical Sciences, Cornell University, Ithaca, NY, United States of America
- The Center for Reproductive Genomics, Cornell University, Ithaca, NY, United States of America
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74
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Jones JC, Wallberg A, Christmas MJ, Kapheim KM, Webster MT. Extreme Differences in Recombination Rate between the Genomes of a Solitary and a Social Bee. Mol Biol Evol 2019; 36:2277-2291. [DOI: 10.1093/molbev/msz130] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Abstract
Social insect genomes exhibit the highest rates of crossing over observed in plants and animals. The evolutionary causes of these extreme rates are unknown. Insight can be gained by comparing recombination rate variation across the genomes of related social and solitary insects. Here, we compare the genomic recombination landscape of the highly social honey bee, Apis mellifera, with the solitary alfalfa leafcutter bee, Megachile rotundata, by analyzing patterns of linkage disequilibrium in population-scale genome sequencing data. We infer that average recombination rates are extremely elevated in A. mellifera compared with M. rotundata. However, our results indicate that similar factors control the distribution of crossovers in the genomes of both species. Recombination rate is significantly reduced in coding regions in both species, with genes inferred to be germline methylated having particularly low rates. Genes with worker-biased patterns of expression in A. mellifera and their orthologs in M. rotundata have higher than average recombination rates in both species, suggesting that selection for higher diversity in genes involved in worker caste functions in social taxa is not the explanation for these elevated rates. Furthermore, we find no evidence that recombination has modulated the efficacy of selection among genes during bee evolution, which does not support the hypothesis that high recombination rates facilitated positive selection for new functions in social insects. Our results indicate that the evolution of sociality in insects likely entailed selection on modifiers that increased recombination rates genome wide, but that the genomic recombination landscape is determined by the same factors.
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Affiliation(s)
- Julia C Jones
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Matthew J Christmas
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | | | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
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75
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Diversity and Determinants of Meiotic Recombination Landscapes. Trends Genet 2019; 35:359-370. [DOI: 10.1016/j.tig.2019.02.002] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/06/2019] [Accepted: 02/08/2019] [Indexed: 11/19/2022]
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76
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Bhattacharyya T, Walker M, Powers NR, Brunton C, Fine AD, Petkov PM, Handel MA. Prdm9 and Meiotic Cohesin Proteins Cooperatively Promote DNA Double-Strand Break Formation in Mammalian Spermatocytes. Curr Biol 2019; 29:1002-1018.e7. [PMID: 30853435 PMCID: PMC6544150 DOI: 10.1016/j.cub.2019.02.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 12/20/2018] [Accepted: 02/01/2019] [Indexed: 11/19/2022]
Abstract
Meiotic recombination is required for correct segregation of chromosomes to gametes and to generate genetic diversity. In mice and humans, DNA double-strand breaks (DSBs) are initiated by SPO11 at recombination hotspots activated by PRDM9-catalyzed histone modifications on open chromatin. However, the DSB-initiating and repair proteins are associated with a linear proteinaceous scaffold called the chromosome axis, the core of which is composed of cohesin proteins. STAG3 is a stromalin subunit common to all meiosis-specific cohesin complexes. Mutations of meiotic cohesin proteins, especially STAG3, perturb both axis formation and recombination in the mouse, prompting determination of how the processes are mechanistically related. Protein interaction and genetic analyses revealed that PRDM9 interacts with STAG3 and REC8 in cooperative relationships that promote normal levels of meiotic DSBs at recombination hotspots in spermatocytes. The efficacy of the Prdm9-Stag3 genetic interaction in promoting DSB formation depends on PRDM9-mediated histone methyltransferase activity. Moreover, STAG3 deficiency has a major effect on DSB number even in the absence of PRDM9, showing that its role is not restricted to canonical PRDM9-activated hotspots. STAG3 and REC8 promote axis localization of the DSB-promoting proteins HORMAD1, IHO1, and MEI4, as well as SPO11 activity. These results establish that PRDM9 and axis-associated cohesin complexes together coordinate and facilitate meiotic recombination by recruiting key proteins for initiation of DSBs, thereby associating activated hotspots with DSB-initiating complexes on the axis.
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Affiliation(s)
| | | | | | | | - Alexander D Fine
- The Jackson Laboratory, Bar Harbor, ME 04609, USA; Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | | | - Mary Ann Handel
- The Jackson Laboratory, Bar Harbor, ME 04609, USA; Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA.
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77
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Schweizer RM, Durvasula A, Smith J, Vohr SH, Stahler DR, Galaverni M, Thalmann O, Smith DW, Randi E, Ostrander EA, Green RE, Lohmueller KE, Novembre J, Wayne RK. Natural Selection and Origin of a Melanistic Allele in North American Gray Wolves. Mol Biol Evol 2019; 35:1190-1209. [PMID: 29688543 DOI: 10.1093/molbev/msy031] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Pigmentation is often used to understand how natural selection affects genetic variation in wild populations since it can have a simple genetic basis, and can affect a variety of fitness-related traits (e.g., camouflage, thermoregulation, and sexual display). In gray wolves, the K locus, a β-defensin gene, causes black coat color via a dominantly inherited KB allele. The allele is derived from dog-wolf hybridization and is at high frequency in North American wolf populations. We designed a DNA capture array to probe the geographic origin, age, and number of introgression events of the KB allele in a panel of 331 wolves and 20 dogs. We found low diversity in KB, but not ancestral ky, wolf haplotypes consistent with a selective sweep of the black haplotype across North America. Further, North American wolf KB haplotypes are monophyletic, suggesting that a single adaptive introgression from dogs to wolves most likely occurred in the Northwest Territories or Yukon. We use a new analytical approach to date the origin of the KB allele in Yukon wolves to between 1,598 and 7,248 years ago, suggesting that introgression with early Native American dogs was the source. Using population genetic simulations, we show that the K locus is undergoing natural selection in four wolf populations. We find evidence for balancing selection, specifically in Yellowstone wolves, which could be a result of selection for enhanced immunity in response to distemper. With these data, we demonstrate how the spread of an adaptive variant may have occurred across a species' geographic range.
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Affiliation(s)
- Rena M Schweizer
- Division of Biological Sciences, University of Montana, Missoula, MT.,Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA
| | - Arun Durvasula
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Joel Smith
- Department of Ecology and Evolution, University of Chicago, Chicago, IL
| | - Samuel H Vohr
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA
| | - Daniel R Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, WY
| | | | - Olaf Thalmann
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Douglas W Smith
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, WY
| | - Ettore Randi
- Department of Biology, University of Bologna, Bologna, Italy.,Department of Chemistry and Bioscience, Faculty of Engineering and Science, University of Aalborg, Aalborg, Denmark
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA.,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - John Novembre
- Department of Ecology and Evolution, University of Chicago, Chicago, IL.,Department of Human Genetics, University of Chicago, IL
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA
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78
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Jabbari K, Wirtz J, Rauscher M, Wiehe T. A common genomic code for chromatin architecture and recombination landscape. PLoS One 2019; 14:e0213278. [PMID: 30865674 PMCID: PMC6415826 DOI: 10.1371/journal.pone.0213278] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 02/18/2019] [Indexed: 12/14/2022] Open
Abstract
Recent findings established a link between DNA sequence composition and interphase chromatin architecture and explained the evolutionary conservation of TADs (Topologically Associated Domains) and LADs (Lamina Associated Domains) in mammals. This prompted us to analyse conformation capture and recombination rate data to study the relationship between chromatin architecture and recombination landscape of human and mouse genomes. The results reveal that: (1) low recombination domains and blocks of elevated linkage disequilibrium tend to coincide with TADs and isochores, indicating co-evolving regulatory elements and genes in insulated neighbourhoods; (2) double strand break (DSB) and recombination frequencies increase in the short loops of GC-rich TADs, whereas recombination cold spots are typical of LADs and (3) the binding and loading of proteins, which are critical for DSB and meiotic recombination (SPO11, DMC1, H3K4me3 and PRMD9) are higher in GC-rich TADs. One explanation for these observations is that the occurrence of DSB and recombination in meiotic cells are associated with compositional and epigenetic features (genomic code) that influence DNA stiffness/flexibility and appear to be similar to those guiding the chromatin architecture in the interphase nucleus of pre-leptotene cells.
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Affiliation(s)
- Kamel Jabbari
- Institute for Genetics, Biocenter Cologne, University of Cologne, Köln, Germany
- * E-mail:
| | - Johannes Wirtz
- Institute for Genetics, Biocenter Cologne, University of Cologne, Köln, Germany
| | - Martina Rauscher
- Institute for Genetics, Biocenter Cologne, University of Cologne, Köln, Germany
| | - Thomas Wiehe
- Institute for Genetics, Biocenter Cologne, University of Cologne, Köln, Germany
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79
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Halo JV, Pendleton AL, Jarosz AS, Gifford RJ, Day ML, Kidd JM. Origin and recent expansion of an endogenous gammaretroviral lineage in domestic and wild canids. Retrovirology 2019; 16:6. [PMID: 30845962 PMCID: PMC6407205 DOI: 10.1186/s12977-019-0468-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 02/28/2019] [Indexed: 01/20/2023] Open
Abstract
Background Vertebrate genomes contain a record of retroviruses that invaded the germlines of ancestral hosts and are passed to offspring as endogenous retroviruses (ERVs). ERVs can impact host function since they contain the necessary sequences for expression within the host. Dogs are an important system for the study of disease and evolution, yet no substantiated reports of infectious retroviruses in dogs exist. Here, we utilized Illumina whole genome sequence data to assess the origin and evolution of a recently active gammaretroviral lineage in domestic and wild canids. Results We identified numerous recently integrated loci of a canid-specific ERV-Fc sublineage within Canis, including 58 insertions that were absent from the reference assembly. Insertions were found throughout the dog genome including within and near gene models. By comparison of orthologous occupied sites, we characterized element prevalence across 332 genomes including all nine extant canid species, revealing evolutionary patterns of ERV-Fc segregation among species as well as subpopulations. Conclusions Sequence analysis revealed common disruptive mutations, suggesting a predominant form of ERV-Fc spread by trans complementation of defective proviruses. ERV-Fc activity included multiple circulating variants that infected canid ancestors from the last 20 million to within 1.6 million years, with recent bursts of germline invasion in the sublineage leading to wolves and dogs. Electronic supplementary material The online version of this article (10.1186/s12977-019-0468-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Julia V Halo
- Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, 43403, USA.
| | - Amanda L Pendleton
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Abigail S Jarosz
- Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, 43403, USA
| | - Robert J Gifford
- Centre for Virus Research, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK
| | - Malika L Day
- Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, 43403, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Ave., Ann Arbor, MI, 48109, USA
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80
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Marand AP, Zhao H, Zhang W, Zeng Z, Fang C, Jiang J. Historical Meiotic Crossover Hotspots Fueled Patterns of Evolutionary Divergence in Rice. THE PLANT CELL 2019; 31:645-662. [PMID: 30705136 PMCID: PMC6482639 DOI: 10.1105/tpc.18.00750] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 01/28/2019] [Indexed: 05/15/2023]
Abstract
Recombination plays an integral role in the creation of novel genetic variation in sexually reproducing species. Despite this important role, the determinants and evolution of crossover hotspots have remained poorly understood in plants. Here, we present a comparative analysis of two rice (Oryza sativa) historical recombination maps from two subspecies (indica and japonica) using 150 resequenced genomes. Fine-scale recombination rates and crossover hotspots were validated by comparison with a consensus genetic map and empirically derived crossovers, respectively. Strikingly, nearly 80% of crossover hotspots were unique to each subspecies, despite their relatively recent divergence and broad-scale correlated recombination rates. Crossover hotspots were enriched with Stowaway and P instability factor (PIF)/Harbinger transposons and overlapped accessible chromatin regions. Increased nucleotide diversity and signatures of population differentiation augmented by Stowaway and PIF/Harbinger transposons were prevalent at subspecies-specific crossover hotspots. Motifs derived from lineage-specific indica and japonica crossover hotspots were nearly identical in the two subspecies, implicating a core set of crossover motifs in rice. Finally, Stowaway and PIF/Harbinger transposons were associated with stabilized G/C bias within highly active hotspots, suggesting that hotspot activity can be fueled by de novo variation. These results provide evolutionary insight into historical crossover hotspots as potentially powerful drivers of sequence and subspecies evolution in plants.
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Affiliation(s)
- Alexandre P Marand
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Hainan Zhao
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Horticulture, Michigan State University, East Lansing, Michigan 48824
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agriculture University, Nanjing, Jiangsu 210095, China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agriculture University, Nanjing, Jiangsu 210095, China
| | - Zixian Zeng
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Horticulture, Michigan State University, East Lansing, Michigan 48824
| | - Chao Fang
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Horticulture, Michigan State University, East Lansing, Michigan 48824
| | - Jiming Jiang
- Department of Horticulture, University of Wisconsin-Madison, Madison, Wisconsin 53706
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Horticulture, Michigan State University, East Lansing, Michigan 48824
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81
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Vakirlis N, Hebert AS, Opulente DA, Achaz G, Hittinger CT, Fischer G, Coon JJ, Lafontaine I. A Molecular Portrait of De Novo Genes in Yeasts. Mol Biol Evol 2019; 35:631-645. [PMID: 29220506 DOI: 10.1093/molbev/msx315] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
New genes, with novel protein functions, can evolve "from scratch" out of intergenic sequences. These de novo genes can integrate the cell's genetic network and drive important phenotypic innovations. Therefore, identifying de novo genes and understanding how the transition from noncoding to coding occurs are key problems in evolutionary biology. However, identifying de novo genes is a difficult task, hampered by the presence of remote homologs, fast evolving sequences and erroneously annotated protein coding genes. To overcome these limitations, we developed a procedure that handles the usual pitfalls in de novo gene identification and predicted the emergence of 703 de novo gene candidates in 15 yeast species from 2 genera whose phylogeny spans at least 100 million years of evolution. We validated 85 candidates by proteomic data, providing new translation evidence for 25 of them through mass spectrometry experiments. We also unambiguously identified the mutations that enabled the transition from noncoding to coding for 30 Saccharomyces de novo genes. We established that de novo gene origination is a widespread phenomenon in yeasts, only a few being ultimately maintained by selection. We also found that de novo genes preferentially emerge next to divergent promoters in GC-rich intergenic regions where the probability of finding a fortuitous and transcribed ORF is the highest. Finally, we found a more than 3-fold enrichment of de novo genes at recombination hot spots, which are GC-rich and nucleosome-free regions, suggesting that meiotic recombination contributes to de novo gene emergence in yeasts.
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Affiliation(s)
- Nikolaos Vakirlis
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Institut de Biologie Paris Seine, Biologie Computationnelle et Quantitative UMR7238, 75005 Paris, France
| | - Alex S Hebert
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI
| | - Dana A Opulente
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI
| | - Guillaume Achaz
- Atelier de BioInformatique, ISyEB UMR7205 Muséum National d'Histoire Naturelle, Paris, France.,SMILE Group, CIRB UMR7241, Collège de France, Paris, France
| | - Chris Todd Hittinger
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI.,Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI
| | - Gilles Fischer
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Institut de Biologie Paris Seine, Biologie Computationnelle et Quantitative UMR7238, 75005 Paris, France
| | - Joshua J Coon
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI.,Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI.,Department of Chemistry, University of Wisconsin-Madison, Madison, WI.,Morgridge Institute for Research, Madison, WI
| | - Ingrid Lafontaine
- Atelier de BioInformatique, ISyEB UMR7205 Muséum National d'Histoire Naturelle, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, Institut de Biologie Physico-Chimique, Physiologie Membranaire et Moléculaire du Chloroplaste UMR7141, 75005 Paris, France
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82
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Tang B, Zhou Q, Dong L, Li W, Zhang X, Lan L, Zhai S, Xiao J, Zhang Z, Bao Y, Zhang YP, Wang GD, Zhao W. iDog: an integrated resource for domestic dogs and wild canids. Nucleic Acids Res 2019; 47:D793-D800. [PMID: 30371881 PMCID: PMC6323916 DOI: 10.1093/nar/gky1041] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/11/2018] [Accepted: 10/16/2018] [Indexed: 12/12/2022] Open
Abstract
The domestic dog (Canis lupus familiaris) is indisputably one of man's best friends. It is also a fundamental model for many heritable human diseases. Here, we present iDog (http://bigd.big.ac.cn/idog), the first integrated resource dedicated to domestic dogs and wild canids. It incorporates a variety of omics data, including genome sequences assemblies for dhole and wolf, genomic variations extracted from hundreds of dog/wolf whole genomes, phenotype/disease traits curated from dog research communities and public resources, gene expression profiles derived from published RNA-Seq data, gene ontology for functional annotation, homolog gene information for multiple organisms and disease-related literature. Additionally, iDog integrates sequence alignment tools for data analyses and a genome browser for data visualization. iDog will not only benefit the global dog research community, but also provide access to a user-friendly consolidation of dog information to a large number of dog enthusiasts.
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Affiliation(s)
- Bixia Tang
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qing Zhou
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lili Dong
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wulue Li
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiangquan Zhang
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Li Lan
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuang Zhai
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingfa Xiao
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhang Zhang
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yiming Bao
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Ya-Ping Zhang
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Guo-Dong Wang
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Wenming Zhao
- BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
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83
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Tock AJ, Henderson IR. Hotspots for Initiation of Meiotic Recombination. Front Genet 2018; 9:521. [PMID: 30467513 PMCID: PMC6237102 DOI: 10.3389/fgene.2018.00521] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 10/15/2018] [Indexed: 11/13/2022] Open
Abstract
Homologous chromosomes must pair and recombine to ensure faithful chromosome segregation during meiosis, a specialized type of cell division that occurs in sexually reproducing eukaryotes. Meiotic recombination initiates by programmed induction of DNA double-strand breaks (DSBs) by the conserved type II topoisomerase-like enzyme SPO11. A subset of meiotic DSBs are resolved as crossovers, whereby reciprocal exchange of DNA occurs between homologous chromosomes. Importantly, DSBs are non-randomly distributed along eukaryotic chromosomes, forming preferentially in permissive regions known as hotspots. In many species, including plants, DSB hotspots are located within nucleosome-depleted regions. DSB localization is governed by interconnected factors, including cis-regulatory elements, transcription factor binding, and chromatin accessibility, as well as by higher-order chromosome architecture. The spatiotemporal control of DSB formation occurs within a specialized chromosomal structure characterized by sister chromatids organized into linear arrays of chromatin loops that are anchored to a proteinaceous axis. Although SPO11 and its partner proteins required for DSB formation are bound to the axis, DSBs occur preferentially within the chromatin loops, which supports the "tethered-loop/axis model" for meiotic recombination. In this mini review, we discuss insights gained from recent efforts to define and profile DSB hotspots at high resolution in eukaryotic genomes. These advances are deepening our understanding of how meiotic recombination shapes genetic diversity and genome evolution in diverse species.
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Affiliation(s)
- Andrew J Tock
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Ian R Henderson
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
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84
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Tian H, Billings T, Petkov PM. CXXC1 is not essential for normal DNA double-strand break formation and meiotic recombination in mouse. PLoS Genet 2018; 14:e1007657. [PMID: 30365547 PMCID: PMC6221362 DOI: 10.1371/journal.pgen.1007657] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 11/07/2018] [Accepted: 08/24/2018] [Indexed: 12/28/2022] Open
Abstract
In most mammals, including mice and humans, meiotic recombination is determined by the meiosis specific histone methytransferase PRDM9, which binds to specific DNA sequences and trimethylates histone 3 at lysine-4 and lysine-36 at the adjacent nucleosomes. These actions ensure successful DNA double strand break formation and repair that occur on the proteinaceous structure forming the chromosome axis. The process of hotspot association with the axis after their activation by PRDM9 is poorly understood. Previously, we and others have identified CXXC1, an ortholog of S. cerevisiae Spp1 in mammals, as a PRDM9 interactor. In yeast, Spp1 is a histone methyl reader that links H3K4me3 sites with the recombination machinery, promoting DSB formation. Here, we investigated whether CXXC1 has a similar function in mouse meiosis. We created two Cxxc1 conditional knockout mouse models to deplete CXXC1 generally in germ cells, and before the onset of meiosis. Surprisingly, male knockout mice were fertile, and the loss of CXXC1 in spermatocytes had no effect on PRDM9 hotspot trimethylation, double strand break formation or repair. Our results demonstrate that CXXC1 is not an essential link between PRDM9-activated recombination hotspot sites and DSB machinery and that the hotspot recognition pathway in mouse is independent of CXXC1. Meiotic recombination increases genetic diversity by ensuring novel combination of alleles passing correctly to the next generation. In most mammals, the meiotic recombination sites are determined by histone methyltransferase PRDM9. These sites are proposed to become associated with the chromosome axis with the participation of additional proteins and undergo double strand breaks, which are repaired by homologous recombination. In budding yeast, Spp1 (ortholog of CXXC1) binds to methylated H3K4 and connects these sites with the chromosome axis promoting DSB formation. However, our data suggest that even though CXXC1 interacts with PRDM9 in male germ cells, it does not play a crucial role in mouse meiotic recombination. These results indicate that, unlike in yeast, a recombination initiation pathway that includes CXXC1 could only serve as a non-essential pathway in mouse meiosis.
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Affiliation(s)
- Hui Tian
- The Jackson Laboratory, Bar Harbor, ME 04609, United States of America
| | - Timothy Billings
- The Jackson Laboratory, Bar Harbor, ME 04609, United States of America
| | - Petko M. Petkov
- The Jackson Laboratory, Bar Harbor, ME 04609, United States of America
- * E-mail:
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85
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Gopalakrishnan S, Sinding MHS, Ramos-Madrigal J, Niemann J, Samaniego Castruita JA, Vieira FG, Carøe C, Montero MDM, Kuderna L, Serres A, González-Basallote VM, Liu YH, Wang GD, Marques-Bonet T, Mirarab S, Fernandes C, Gaubert P, Koepfli KP, Budd J, Rueness EK, Sillero C, Heide-Jørgensen MP, Petersen B, Sicheritz-Ponten T, Bachmann L, Wiig Ø, Hansen AJ, Gilbert MTP. Interspecific Gene Flow Shaped the Evolution of the Genus Canis. Curr Biol 2018; 28:3441-3449.e5. [PMID: 30344120 PMCID: PMC6224481 DOI: 10.1016/j.cub.2018.08.041] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 04/30/2018] [Accepted: 08/16/2018] [Indexed: 12/30/2022]
Abstract
The evolutionary history of the wolf-like canids of the genus Canis has been heavily debated, especially regarding the number of distinct species and their relationships at the population and species level [1-6]. We assembled a dataset of 48 resequenced genomes spanning all members of the genus Canis except the black-backed and side-striped jackals, encompassing the global diversity of seven extant canid lineages. This includes eight new genomes, including the first resequenced Ethiopian wolf (Canis simensis), one dhole (Cuon alpinus), two East African hunting dogs (Lycaon pictus), two Eurasian golden jackals (Canis aureus), and two Middle Eastern gray wolves (Canis lupus). The relationships between the Ethiopian wolf, African golden wolf, and golden jackal were resolved. We highlight the role of interspecific hybridization in the evolution of this charismatic group. Specifically, we find gene flow between the ancestors of the dhole and African hunting dog and admixture between the gray wolf, coyote (Canis latrans), golden jackal, and African golden wolf. Additionally, we report gene flow from gray and Ethiopian wolves to the African golden wolf, suggesting that the African golden wolf originated through hybridization between these species. Finally, we hypothesize that coyotes and gray wolves carry genetic material derived from a "ghost" basal canid lineage.
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Affiliation(s)
- Shyam Gopalakrishnan
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
| | - Mikkel-Holger S Sinding
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark; Natural History Museum, University of Oslo, Oslo, Norway; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; University of Greenland, Manuutoq 1, Nuuk, Greenland
| | - Jazmín Ramos-Madrigal
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Niemann
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Jose A Samaniego Castruita
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Filipe G Vieira
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Christian Carøe
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | | | - Lukas Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Aitor Serres
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | | | - Yan-Hu Liu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, Yunnan, China
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain; Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain; CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain; Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Siavash Mirarab
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA
| | - Carlos Fernandes
- Centre for Ecology, Evolution and Environmental Changes (CE3C), Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
| | - Philippe Gaubert
- Institut des Sciences de l'Evolution de Montpellier (ISEM), UM-CNRS-IRD-EPHE, Université de Montpellier, Montpellier, France
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, National Zoological Park, 3001 Connecticut Avenue NW, Washington, DC 20008, USA; Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 41A Sredniy Prospekt, St. Petersburg 199034, Russia
| | - Jane Budd
- Breeding Centre for Endangered Arabian Wildlife, Sharjah, United Arab Emirates
| | - Eli Knispel Rueness
- Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway
| | - Claudio Sillero
- Wildlife Conservation Research Unit, Zoology, University of Oxford, Tubney House, Tubney OX13 5QL, UK; IUCN SSC Canid Specialist Group, Oxford, UK
| | - Mads Peter Heide-Jørgensen
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland
| | - Bent Petersen
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Thomas Sicheritz-Ponten
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Lutz Bachmann
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Øystein Wiig
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Anders J Hansen
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark; The Qimmeq Project, University of Greenland, Nuussuaq, Greenland; University of Greenland, Manuutoq 1, Nuuk, Greenland
| | - M Thomas P Gilbert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark; Norwegian University of Science and Technology, University Museum, Trondheim, Norway
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86
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Abstract
During meiosis, maternal and paternal chromosomes undergo exchanges by homologous recombination. This is essential for fertility and contributes to genome evolution. In many eukaryotes, sites of meiotic recombination, also called hotspots, are regions of accessible chromatin, but in many vertebrates, their location follows a distinct pattern and is specified by PR domain-containing protein 9 (PRDM9). The specification of meiotic recombination hotspots is achieved by the different activities of PRDM9: DNA binding, histone methyltransferase, and interaction with other proteins. Remarkably, PRDM9 activity leads to the erosion of its own binding sites and the rapid evolution of its DNA-binding domain. PRDM9 may also contribute to reproductive isolation, as it is involved in hybrid sterility potentially due to a reduction of its activity in specific heterozygous contexts.
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Affiliation(s)
- Corinne Grey
- Institut de Génétique Humaine, Centre National de la Recherche Scientifique, University of Montpellier, Montpellier, France
| | - Frédéric Baudat
- Institut de Génétique Humaine, Centre National de la Recherche Scientifique, University of Montpellier, Montpellier, France
| | - Bernard de Massy
- Institut de Génétique Humaine, Centre National de la Recherche Scientifique, University of Montpellier, Montpellier, France
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87
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Lukaszewicz A, Lange J, Keeney S, Jasin M. Control of meiotic double-strand-break formation by ATM: local and global views. Cell Cycle 2018; 17:1155-1172. [PMID: 29963942 PMCID: PMC6110601 DOI: 10.1080/15384101.2018.1464847] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 03/19/2018] [Accepted: 04/08/2018] [Indexed: 10/28/2022] Open
Abstract
DNA double-strand breaks (DSBs) generated by the SPO11 protein initiate meiotic recombination, an essential process for successful chromosome segregation during gametogenesis. The activity of SPO11 is controlled by multiple factors and regulatory mechanisms, such that the number of DSBs is limited and DSBs form at distinct positions in the genome and at the right time. Loss of this control can affect genome integrity or cause meiotic arrest by mechanisms that are not fully understood. Here we focus on the DSB-responsive kinase ATM and its functions in regulating meiotic DSB numbers and distribution. We review the recently discovered roles of ATM in this context, discuss their evolutionary conservation, and examine future research perspectives.
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Affiliation(s)
- Agnieszka Lukaszewicz
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julian Lange
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Scott Keeney
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Jasin
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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88
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Pendleton AL, Shen F, Taravella AM, Emery S, Veeramah KR, Boyko AR, Kidd JM. Comparison of village dog and wolf genomes highlights the role of the neural crest in dog domestication. BMC Biol 2018; 16:64. [PMID: 29950181 PMCID: PMC6022502 DOI: 10.1186/s12915-018-0535-2] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 05/23/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Domesticated from gray wolves between 10 and 40 kya in Eurasia, dogs display a vast array of phenotypes that differ from their ancestors, yet mirror other domesticated animal species, a phenomenon known as the domestication syndrome. Here, we use signatures persisting in dog genomes to identify genes and pathways possibly altered by the selective pressures of domestication. RESULTS Whole-genome SNP analyses of 43 globally distributed village dogs and 10 wolves differentiated signatures resulting from domestication rather than breed formation. We identified 246 candidate domestication regions containing 10.8 Mb of genome sequence and 429 genes. The regions share haplotypes with ancient dogs, suggesting that the detected signals are not the result of recent selection. Gene enrichments highlight numerous genes linked to neural crest and central nervous system development as well as neurological function. Read depth analysis suggests that copy number variation played a minor role in dog domestication. CONCLUSIONS Our results identify genes that act early in embryogenesis and can confer phenotypes distinguishing domesticated dogs from wolves, such as tameness, smaller jaws, floppy ears, and diminished craniofacial development as the targets of selection during domestication. These differences reflect the phenotypes of the domestication syndrome, which can be explained by alterations in the migration or activity of neural crest cells during development. We propose that initial selection during early dog domestication was for behavior, a trait influenced by genes which act in the neural crest, which secondarily gave rise to the phenotypes of modern dogs.
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Affiliation(s)
- Amanda L Pendleton
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Feichen Shen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Angela M Taravella
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sarah Emery
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, Ithaca, New York, 14853, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.
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89
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Kent TV, Uzunović J, Wright SI. Coevolution between transposable elements and recombination. Philos Trans R Soc Lond B Biol Sci 2018; 372:rstb.2016.0458. [PMID: 29109221 DOI: 10.1098/rstb.2016.0458] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2017] [Indexed: 12/24/2022] Open
Abstract
One of the most striking patterns of genome structure is the tight, typically negative, association between transposable elements (TEs) and meiotic recombination rates. While this is a highly recurring feature of eukaryotic genomes, the mechanisms driving correlations between TEs and recombination remain poorly understood, and distinguishing cause versus effect is challenging. Here, we review the evidence for a relation between TEs and recombination, and discuss the underlying evolutionary forces. Evidence to date suggests that overall TE densities correlate negatively with recombination, but the strength of this correlation varies across element types, and the pattern can be reversed. Results suggest that heterogeneity in the strength of selection against ectopic recombination and gene disruption can drive TE accumulation in regions of low recombination, but there is also strong evidence that the regulation of TEs can influence local recombination rates. We hypothesize that TE insertion polymorphism may be important in driving within-species variation in recombination rates in surrounding genomic regions. Furthermore, the interaction between TEs and recombination may create positive feedback, whereby TE accumulation in non-recombining regions contributes to the spread of recombination suppression. Further investigation of the coevolution between recombination and TEs has important implications for our understanding of the evolution of recombination rates and genome structure.This article is part of the themed issue 'Evolutionary causes and consequences of recombination rate variation in sexual organisms'.
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Affiliation(s)
- Tyler V Kent
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St, Toronto, Ontario, Canada M5S3B2
| | - Jasmina Uzunović
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St, Toronto, Ontario, Canada M5S3B2
| | - Stephen I Wright
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St, Toronto, Ontario, Canada M5S3B2
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90
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Abstract
Recombination often differs markedly between males and females. Here we present the first analysis of sex-specific recombination in Gasterosteus sticklebacks. Using whole-genome sequencing of 15 crosses between G. aculeatus and G. nipponicus, we localized 698 crossovers with a median resolution of 2.3 kb. We also used a bioinformatic approach to infer historical sex-averaged recombination patterns for both species. Recombination is greater in females than males on all chromosomes, and overall map length is 1.64 times longer in females. The locations of crossovers differ strikingly between sexes. Crossovers cluster toward chromosome ends in males, but are distributed more evenly across chromosomes in females. Suppression of recombination near the centromeres in males causes crossovers to cluster at the ends of long arms in acrocentric chromosomes, and greatly reduces crossing over on short arms. The effect of centromeres on recombination is much weaker in females. Genomic differentiation between G. aculeatus and G. nipponicus is strongly correlated with recombination rate, and patterns of differentiation along chromosomes are strongly influenced by male-specific telomere and centromere effects. We found no evidence for fine-scale correlations between recombination and local gene content in either sex. We discuss hypotheses for the origin of sexual dimorphism in recombination and its consequences for sexually antagonistic selection and sex chromosome evolution.
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91
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Oetjens MT, Martin A, Veeramah KR, Kidd JM. Analysis of the canid Y-chromosome phylogeny using short-read sequencing data reveals the presence of distinct haplogroups among Neolithic European dogs. BMC Genomics 2018; 19:350. [PMID: 29747566 PMCID: PMC5946424 DOI: 10.1186/s12864-018-4749-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 05/02/2018] [Indexed: 01/28/2023] Open
Abstract
Background Most genetic analyses of ancient and modern dogs have focused on variation in the autosomes or on the mitochondria. Mitochondrial DNA is more easily obtained from ancient samples than nuclear DNA and mitochondrial analyses have revealed important insights into the evolutionary history of canids. Utilizing a recently published dog Y-chromosome reference, we analyzed Y-chromosome sequence across a diverse collection of canids and determined the Y haplogroup of three ancient European dogs. Results We identified 1121 biallelic Y-chromosome SNVs using whole-genome sequences from 118 canids and defined variants diagnostic to distinct dog Y haplogroups. Similar to that of the mitochondria and previous more limited studies of Y diversity, we observe several deep splits in the Y-chromosome tree which may be the result of retained Y-chromosome diversity which predates dog domestication or post-domestication admixture with wolves. We find that Y-chromosomes from three ancient European dogs (4700–7000 years old) belong to distinct clades. Conclusions We estimate that the time to the most recent comment ancestor of dog Y haplogroups is 68–151 thousand years ago. Analysis of three Y-chromosomes from the Neolithic confirms long stranding population structure among European dogs. Electronic supplementary material The online version of this article (10.1186/s12864-018-4749-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthew T Oetjens
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Axel Martin
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA. .,Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.
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92
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Shen B, Jiang J, Seroussi E, Liu GE, Ma L. Characterization of recombination features and the genetic basis in multiple cattle breeds. BMC Genomics 2018; 19:304. [PMID: 29703147 PMCID: PMC5923192 DOI: 10.1186/s12864-018-4705-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 04/22/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Crossover generated by meiotic recombination is a fundamental event that facilitates meiosis and sexual reproduction. Comparative studies have shown wide variation in recombination rate among species, but the characterization of recombination features between cattle breeds has not yet been performed. Cattle populations in North America count millions, and the dairy industry has genotyped millions of individuals with pedigree information that provide a unique opportunity to study breed-level variations in recombination. RESULTS Based on large pedigrees of Jersey, Ayrshire and Brown Swiss cattle with genotype data, we identified over 3.4 million maternal and paternal crossover events from 161,309 three-generation families. We constructed six breed- and sex-specific genome-wide recombination maps using 58,982 autosomal SNPs for two sexes in the three dairy cattle breeds. A comparative analysis of the six recombination maps revealed similar global recombination patterns between cattle breeds but with significant differences between sexes. We confirmed that male recombination map is 10% longer than the female map in all three cattle breeds, consistent with previously reported results in Holstein cattle. When comparing recombination hotspot regions between cattle breeds, we found that 30% and 10% of the hotspots were shared between breeds in males and females, respectively, with each breed exhibiting some breed-specific hotspots. Finally, our multiple-breed GWAS found that SNPs in eight loci affected recombination rate and that the PRDM9 gene associated with hotspot usage in multiple cattle breeds, indicating a shared genetic basis for recombination across dairy cattle breeds. CONCLUSIONS Collectively, our results generated breed- and sex-specific recombination maps for multiple cattle breeds, provided a comprehensive characterization and comparison of recombination patterns between breeds, and expanded our understanding of the breed-level variations in recombination features within an important livestock species.
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Affiliation(s)
- Botong Shen
- Department of Animal and Avian Sciences, University of Maryland, 2123 Animal Science Building, College Park, MD, 20742, USA
| | - Jicai Jiang
- Department of Animal and Avian Sciences, University of Maryland, 2123 Animal Science Building, College Park, MD, 20742, USA
| | - Eyal Seroussi
- Institute of Animal Science, Agricultural Research Organization (ARO), The Volcani Center, 15159, Rishon LeTsiyon, Israel
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, 2123 Animal Science Building, College Park, MD, 20742, USA.
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93
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Zhou Y, Shen B, Jiang J, Padhi A, Park KE, Oswalt A, Sattler CG, Telugu BP, Chen H, Cole JB, Liu GE, Ma L. Construction of PRDM9 allele-specific recombination maps in cattle using large-scale pedigree analysis and genome-wide single sperm genomics. DNA Res 2018; 25:183-194. [PMID: 29186399 PMCID: PMC5909443 DOI: 10.1093/dnares/dsx048] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 11/09/2017] [Indexed: 11/23/2022] Open
Abstract
PRDM9 contributes to hybrid sterility and species evolution. However, its role is to be confirmed in cattle, a major domesticated livestock species. We previously found an association near PRDM9 with cattle recombination features, but the causative variants are still unknown. Using millions of genotyped cattle with pedigree information, we characterized five PRDM9 alleles and generated allele-specific recombination maps. By examining allele-specific recombination patterns, we observed the impact of PRDM9 on global distribution of recombination, especially in the two ends of chromosomes. We also showed strong associations between recombination hotspot regions and functional mutations within PRDM9 zinc finger domain. More importantly, we found one allele of PRDM9 to be very different from others in both protein composition and recombination landscape, indicating the causative role of this allele on the association between PRDM9 and cattle recombination. When comparing recombination maps from sperm and pedigree data, we observed similar genome-wide recombination patterns, validating the quality of pedigree-based results. Collectively, these evidence supported PRDM9 alleles as causal variants for the reported association with cattle recombination. Our study comprehensively surveyed the bovine PRDM9 alleles, generated allele-specific recombination maps, and expanded our understanding of the role of PRDM9 on genome distribution of recombination.
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Affiliation(s)
- Yang Zhou
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD 20705, USA
- Shaanxi Key Laboratory of Agricultural Molecular Biology, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Education Ministry of China, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Botong Shen
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Jicai Jiang
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Abinash Padhi
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Ki-Eun Park
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Adam Oswalt
- Select Sires Inc. 11740 U.S. 42 North, Plain City, Ohio 43064, USA
| | | | - Bhanu P Telugu
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Hong Chen
- Shaanxi Key Laboratory of Agricultural Molecular Biology, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - John B Cole
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD 20705, USA
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD 20705, USA
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
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94
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Diagouraga B, Clément JAJ, Duret L, Kadlec J, de Massy B, Baudat F. PRDM9 Methyltransferase Activity Is Essential for Meiotic DNA Double-Strand Break Formation at Its Binding Sites. Mol Cell 2018; 69:853-865.e6. [PMID: 29478809 DOI: 10.1016/j.molcel.2018.01.033] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/09/2018] [Accepted: 01/24/2018] [Indexed: 01/06/2023]
Abstract
The programmed formation of hundreds of DNA double-strand breaks (DSBs) is essential for proper meiosis and fertility. In mice and humans, the location of these breaks is determined by the meiosis-specific protein PRDM9, through the DNA-binding specificity of its zinc-finger domain. PRDM9 also has methyltransferase activity. Here, we show that this activity is required for H3K4me3 and H3K36me3 deposition and for DSB formation at PRDM9-binding sites. By analyzing mice that express two PRDM9 variants with distinct DNA-binding specificities, we show that each variant generates its own set of H3K4me3 marks independently from the other variant. Altogether, we reveal several basic principles of PRDM9-dependent DSB site determination, in which an excess of sites are designated through PRDM9 binding and subsequent histone methylation, from which a subset is selected for DSB formation.
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Affiliation(s)
| | | | - Laurent Duret
- Université de Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR 5558, Villeurbanne, France
| | - Jan Kadlec
- Université Grenoble Alpes, CNRS, CEA, IBS, F-38000 Grenoble, France
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95
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Adam C, Guérois R, Citarella A, Verardi L, Adolphe F, Béneut C, Sommermeyer V, Ramus C, Govin J, Couté Y, Borde V. The PHD finger protein Spp1 has distinct functions in the Set1 and the meiotic DSB formation complexes. PLoS Genet 2018; 14:e1007223. [PMID: 29444071 PMCID: PMC5828529 DOI: 10.1371/journal.pgen.1007223] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 02/27/2018] [Accepted: 01/25/2018] [Indexed: 11/18/2022] Open
Abstract
Histone H3K4 methylation is a feature of meiotic recombination hotspots shared by many organisms including plants and mammals. Meiotic recombination is initiated by programmed double-strand break (DSB) formation that in budding yeast takes place in gene promoters and is promoted by histone H3K4 di/trimethylation. This histone modification is recognized by Spp1, a PHD finger containing protein that belongs to the conserved histone H3K4 methyltransferase Set1 complex. During meiosis, Spp1 binds H3K4me3 and interacts with a DSB protein, Mer2, to promote DSB formation close to gene promoters. How Set1 complex- and Mer2- related functions of Spp1 are connected is not clear. Here, combining genome-wide localization analyses, biochemical approaches and the use of separation of function mutants, we show that Spp1 is present within two distinct complexes in meiotic cells, the Set1 and the Mer2 complexes. Disrupting the Spp1-Set1 interaction mildly decreases H3K4me3 levels and does not affect meiotic recombination initiation. Conversely, the Spp1-Mer2 interaction is required for normal meiotic recombination initiation, but dispensable for Set1 complex-mediated histone H3K4 methylation. Finally, we provide evidence that Spp1 preserves normal H3K4me3 levels independently of the Set1 complex. We propose a model where Spp1 works in three ways to promote recombination initiation: first by depositing histone H3K4 methylation (Set1 complex), next by “reading” and protecting histone H3K4 methylation, and finally by making the link with the chromosome axis (Mer2-Spp1 complex). This work deciphers the precise roles of Spp1 in meiotic recombination and opens perspectives to study its functions in other organisms where H3K4me3 is also present at recombination hotspots. Meiotic recombination is a conserved pathway of sexual reproduction that is required to faithfully segregate homologous chromosomes and produce viable gametes. Recombination events between homologous chromosomes are triggered by the programmed formation of DNA breaks, which occur preferentially at places called hotspots. In many organisms, these hotspots are located close to a particular chromatin modification, the methylation of lysine 4 of histone H3 (H3K4me3). It was previously shown in the budding yeast model that one protein, Spp1, plays an important function in this process. We further explored the functional link between Spp1 and its interacting partners, and show that Spp1 shows genetically separable functions, by depositing the H3K4me3 mark on the chromatin, “reading” and protecting it, and linking it to the recombination proteins. We provide evidence that Spp1 is in distinct complexes to perform these functions. This work opens perspectives for understanding the process in other eukaryotes such as mammals, where most of the proteins involved are conserved.
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Affiliation(s)
- Céline Adam
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Raphaël Guérois
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Anna Citarella
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Laura Verardi
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Florine Adolphe
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Claire Béneut
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Vérane Sommermeyer
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
| | - Claire Ramus
- Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, Grenoble, France
| | - Jérôme Govin
- Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, Grenoble, France
| | - Yohann Couté
- Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, Grenoble, France
| | - Valérie Borde
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France
- Université Pierre et Marie Curie (UPMC), Paris, France
- * E-mail:
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96
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Dapper AL, Payseur BA. Effects of Demographic History on the Detection of Recombination Hotspots from Linkage Disequilibrium. Mol Biol Evol 2018; 35:335-353. [PMID: 29045724 PMCID: PMC5850621 DOI: 10.1093/molbev/msx272] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
In some species, meiotic recombination is concentrated in small genomic regions. These "recombination hotspots" leave signatures in fine-scale patterns of linkage disequilibrium, raising the prospect that the genomic landscape of hotspots can be characterized from sequence variation. This approach has led to the inference that hotspots evolve rapidly in some species, but are conserved in others. Historic demographic events, such as population bottlenecks, are known to affect patterns of linkage disequilibrium across the genome, violating population genetic assumptions of this approach. Although such events are prevalent, demographic history is generally ignored when making inferences about the evolution of recombination hotspots. To determine the effect of demography on the detection of recombination hotspots, we use the coalescent to simulate haplotypes with a known recombination landscape. We measure the ability of popular linkage disequilibrium-based programs to detect hotspots across a range of demographic histories, including population bottlenecks, hidden population structure, population expansions, and population contractions. We find that demographic events have the potential to greatly reduce the power and increase the false positive rate of hotspot discovery. Neither the power nor the false positive rate of hotspot detection can be predicted without also knowing the demographic history of the sample. Our results suggest that ignoring demographic history likely overestimates the power to detect hotspots and therefore underestimates the degree of hotspot sharing between species. We suggest strategies for incorporating demographic history into population genetic inferences about recombination hotspots.
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Affiliation(s)
- Amy L Dapper
- Laboratory of Genetics, University of Wisconsin, Madison, WI
| | - Bret A Payseur
- Laboratory of Genetics, University of Wisconsin, Madison, WI
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97
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Jabbari K, Heger P, Sharma R, Wiehe T. The Diverging Routes of BORIS and CTCF: An Interactomic and Phylogenomic Analysis. Life (Basel) 2018; 8:life8010004. [PMID: 29385718 PMCID: PMC5871936 DOI: 10.3390/life8010004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Revised: 01/25/2018] [Accepted: 01/25/2018] [Indexed: 12/11/2022] Open
Abstract
The CCCTC-binding factor (CTCF) is multi-functional, ubiquitously expressed, and highly conserved from Drosophila to human. It has important roles in transcriptional insulation and the formation of a high-dimensional chromatin structure. CTCF has a paralog called “Brother of Regulator of Imprinted Sites” (BORIS) or “CTCF-like” (CTCFL). It binds DNA at sites similar to those of CTCF. However, the expression profiles of the two proteins are quite different. We investigated the evolutionary trajectories of the two proteins after the duplication event using a phylogenomic and interactomic approach. We find that CTCF has 52 direct interaction partners while CTCFL only has 19. Almost all interactors already existed before the emergence of CTCF and CTCFL. The unique secondary loss of CTCF from several nematodes is paralleled by a loss of two of its interactors, the polycomb repressive complex subunit SuZ12 and the multifunctional transcription factor TYY1. In contrast to earlier studies reporting the absence of BORIS from birds, we present evidence for a multigene synteny block containing CTCFL that is conserved in mammals, reptiles, and several species of birds, indicating that not the entire lineage of birds experienced a loss of CTCFL. Within this synteny block, BORIS and its genomic neighbors seem to be partitioned into two nested chromatin loops. The high expression of SPO11, RAE1, RBM38, and PMEPA1 in male tissues suggests a possible link between CTCFL, meiotic recombination, and fertility-associated phenotypes. Using the 65,700 exomes and the 1000 genomes data, we observed a higher number of intergenic, non-synonymous, and loss-of-function mutations in CTCFL than in CTCF, suggesting a reduced strength of purifying selection, perhaps due to less functional constraint.
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Affiliation(s)
- Kamel Jabbari
- Cologne Biocenter, Institute for Genetics, University of Cologne, Zülpicher Straße 47a, 50674 Köln, Germany.
| | - Peter Heger
- Cologne Biocenter, Institute for Genetics, University of Cologne, Zülpicher Straße 47a, 50674 Köln, Germany.
| | - Ranu Sharma
- Cologne Biocenter, Institute for Genetics, University of Cologne, Zülpicher Straße 47a, 50674 Köln, Germany.
| | - Thomas Wiehe
- Cologne Biocenter, Institute for Genetics, University of Cologne, Zülpicher Straße 47a, 50674 Köln, Germany.
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98
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Paigen K, Petkov PM. PRDM9 and Its Role in Genetic Recombination. Trends Genet 2018; 34:291-300. [PMID: 29366606 DOI: 10.1016/j.tig.2017.12.017] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 12/14/2017] [Accepted: 12/20/2017] [Indexed: 12/22/2022]
Abstract
PRDM9 is a zinc finger protein that binds DNA at specific locations in the genome where it trimethylates histone H3 at lysines 4 and 36 at surrounding nucleosomes. During meiosis in many species, including humans and mice where PRDM9 has been most intensely studied, these actions determine the location of recombination hotspots, where genetic recombination occurs. In addition, PRDM9 facilitates the association of hotspots with the chromosome axis, the site of the programmed DNA double-strand breaks (DSBs) that give rise to genetic exchange between chromosomes. In the absence of PRDM9 DSBs are not properly repaired. Collectively, these actions determine patterns of genetic linkage and the possibilities for chromosome reorganization over successive generations.
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Makino T, Rubin CJ, Carneiro M, Axelsson E, Andersson L, Webster MT. Elevated Proportions of Deleterious Genetic Variation in Domestic Animals and Plants. Genome Biol Evol 2018; 10:276-290. [PMID: 29325102 PMCID: PMC5786255 DOI: 10.1093/gbe/evy004] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2018] [Indexed: 12/12/2022] Open
Abstract
A fraction of genetic variants segregating in any population are deleterious, which negatively impacts individual fitness. The domestication of animals and plants is associated with population bottlenecks and artificial selection, which are predicted to increase the proportion of deleterious variants. However, the extent to which this is a general feature of domestic species is unclear. Here, we examine the effects of domestication on the prevalence of deleterious variation using pooled whole-genome resequencing data from five domestic animal species (dog, pig, rabbit, chicken, and silkworm) and two domestic plant species (rice and soybean) compared with their wild ancestors. We find significantly reduced genetic variation and increased proportion of nonsynonymous amino acid changes in all but one of the domestic species. These differences are observable across a range of allele frequencies, both common and rare. We find proportionally more single nucleotide polymorphisms in highly conserved elements in domestic species and a tendency for domestic species to harbor a higher proportion of changes classified as damaging. Our findings most likely reflect an increased incidence of deleterious variants in domestic species, which is most likely attributable to population bottlenecks that lead to a reduction in the efficacy of selection. An exception to this pattern is displayed by European domestic pigs, which do not show traces of a strong population bottleneck and probably continued to exchange genes with wild boar populations after domestication. The results presented here indicate that an elevated proportion of deleterious variants is a common, but not ubiquitous, feature of domestic species.
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Affiliation(s)
- Takashi Makino
- Department of Ecology and Evolutionary Biology, Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Japan
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Miguel Carneiro
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Portugal
| | - Erik Axelsson
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
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Alves I, Houle AA, Hussin JG, Awadalla P. The impact of recombination on human mutation load and disease. Philos Trans R Soc Lond B Biol Sci 2017; 372:20160465. [PMID: 29109227 PMCID: PMC5698626 DOI: 10.1098/rstb.2016.0465] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2017] [Indexed: 12/21/2022] Open
Abstract
Recombination promotes genomic integrity among cells and tissues through double-strand break repair, and is critical for gamete formation and fertility through a strict regulation of the molecular mechanisms associated with proper chromosomal disjunction. In humans, congenital defects and recurrent structural abnormalities can be attributed to aberrant meiotic recombination. Moreover, mutations affecting genes involved in recombination pathways are directly linked to pathologies including infertility and cancer. Recombination is among the most prominent mechanism shaping genome variation, and is associated with not only the structuring of genomic variability, but is also tightly linked with the purging of deleterious mutations from populations. Together, these observations highlight the multiple roles of recombination in human genetics: its ability to act as a major force of evolution, its molecular potential to maintain genome repair and integrity in cell division and its mutagenic cost impacting disease evolution.This article is part of the themed issue 'Evolutionary causes and consequences of recombination rate variation in sexual organisms'.
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Affiliation(s)
- Isabel Alves
- Ontario Institute of Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, Canada M5G 0A3
| | - Armande Ang Houle
- Ontario Institute of Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, Canada M5G 0A3
- Department of Molecular Genetics, University of Toronto, Medical Science Building, 1 King's College Circle, Toronto, Ontario, Canada M5S 1A8
| | - Julie G Hussin
- Montreal Heart Institute, Department of Medicine, University of Montreal, 5000 Rue Bélanger, Montréal, Quebec, Canada H1T 1C8
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Philip Awadalla
- Ontario Institute of Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, Canada M5G 0A3
- Department of Molecular Genetics, University of Toronto, Medical Science Building, 1 King's College Circle, Toronto, Ontario, Canada M5S 1A8
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