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Chen J, Liu C, Li W, Zhang W, Wang Y, Clark AG, Lu J. From sub-Saharan Africa to China: Evolutionary history and adaptation of Drosophila melanogaster revealed by population genomics. SCIENCE ADVANCES 2024; 10:eadh3425. [PMID: 38630810 PMCID: PMC11023512 DOI: 10.1126/sciadv.adh3425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
Drosophila melanogaster is a widely used model organism for studying environmental adaptation. However, the genetic diversity of populations in Asia is poorly understood, leaving a notable gap in our knowledge of the global evolution and adaptation of this species. We sequenced genomes of 292 D. melanogaster strains from various ecological settings in China and analyzed them along with previously published genome sequences. We have identified six global genetic ancestry groups, despite the presence of widespread genetic admixture. The strains from China represent a unique ancestry group, although detectable differentiation exists among populations within China. We deciphered the global migration and demography of D. melanogaster, and identified widespread signals of adaptation, including genetic changes in response to insecticides. We validated the effects of insecticide resistance variants using population cage trials and deep sequencing. This work highlights the importance of population genomics in understanding the genetic underpinnings of adaptation, an effort that is particularly relevant given the deterioration of ecosystems.
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Affiliation(s)
- Junhao Chen
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Chenlu Liu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Weixuan Li
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Wenxia Zhang
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yirong Wang
- College of Biology, Hunan University, Changsha 410082, China
| | - Andrew G. Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Jian Lu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
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2
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Di Santo LN, Quilodrán CS, Currat M. Temporal Variation in Introgressed Segments' Length Statistics Computed from a Limited Number of Ancient Genomes Sheds Light on Past Admixture Pulses. Mol Biol Evol 2023; 40:msad252. [PMID: 37992125 PMCID: PMC10715198 DOI: 10.1093/molbev/msad252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Hybridization is recognized as an important evolutionary force, but identifying and timing admixture events between divergent lineages remain a major aim of evolutionary biology. While this has traditionally been done using inferential tools on contemporary genomes, the latest advances in paleogenomics have provided a growing wealth of temporally distributed genomic data. Here, we used individual-based simulations to generate chromosome-level genomic data for a 2-population system and described temporal neutral introgression patterns under a single- and 2-pulse admixture model. We computed 6 summary statistics aiming to inform the timing and number of admixture pulses between interbreeding entities: lengths of introgressed sequences and their variance within genomes, as well as genome-wide introgression proportions and related measures. The first 2 statistics could confidently be used to infer interlineage hybridization history, peaking at the beginning and shortly after an admixture pulse. Temporal variation in introgression proportions and related statistics provided more limited insights, particularly when considering their application to ancient genomes still scant in number. Lastly, we computed these statistics on Homo sapiens paleogenomes and successfully inferred the hybridization pulse from Neanderthal that occurred approximately 40 to 60 kya. The scarce number of genomes dating from this period prevented more precise inferences, but the accumulation of paleogenomic data opens promising perspectives as our approach only requires a limited number of ancient genomes.
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Affiliation(s)
- Lionel N Di Santo
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
| | | | - Mathias Currat
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
- Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva, Geneva CH-1205
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3
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Ayala NM, Genetti M, Corbett-Detig R. Inferring multi-locus selection in admixed populations. PLoS Genet 2023; 19:e1011062. [PMID: 38015992 PMCID: PMC10707604 DOI: 10.1371/journal.pgen.1011062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 12/08/2023] [Accepted: 11/13/2023] [Indexed: 11/30/2023] Open
Abstract
Admixture, the exchange of genetic information between distinct source populations, is thought to be a major source of adaptive genetic variation. Unlike mutation events, which periodically generate single alleles, admixture can introduce many selected alleles simultaneously. As such, the effects of linkage between selected alleles may be especially pronounced in admixed populations. However, existing tools for identifying selected mutations within admixed populations only account for selection at a single site, overlooking phenomena such as linkage among proximal selected alleles. Here, we develop and extensively validate a method for identifying and quantifying the individual effects of multiple linked selected sites on a chromosome in admixed populations. Our approach numerically calculates the expected local ancestry landscape in an admixed population for a given multi-locus selection model, and then maximizes the likelihood of the model. After applying this method to admixed populations of Drosophila melanogaster and Passer italiae, we found that the impacts between linked sites may be an important contributor to natural selection in admixed populations. Furthermore, for the situations we considered, the selection coefficients and number of selected sites are overestimated in analyses that do not consider the effects of linkage among selected sites. Our results imply that linkage among selected sites may be an important evolutionary force in admixed populations. This tool provides a powerful generalized method to investigate these crucial phenomena in diverse populations.
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Affiliation(s)
- Nicolas M. Ayala
- Genomics Institute, University of California, Santa Cruz; Santa Cruz, California, United States of America
- Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, California, United States of America
| | - Maximilian Genetti
- Genomics Institute, University of California, Santa Cruz; Santa Cruz, California, United States of America
- Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, California, United States of America
| | - Russell Corbett-Detig
- Genomics Institute, University of California, Santa Cruz; Santa Cruz, California, United States of America
- Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, California, United States of America
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4
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Preckler-Quisquater S, Kierepka EM, Reding DM, Piaggio AJ, Sacks BN. Can demographic histories explain long-term isolation and recent pulses of asymmetric gene flow between highly divergent grey fox lineages? Mol Ecol 2023; 32:5323-5337. [PMID: 37632719 DOI: 10.1111/mec.17105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 08/01/2023] [Accepted: 08/09/2023] [Indexed: 08/28/2023]
Abstract
Secondary contact zones between deeply divergent, yet interfertile, lineages provide windows into the speciation process. North American grey foxes (Urocyon cinereoargenteus) are divided into western and eastern lineages that diverged approximately 1 million years ago. These ancient lineages currently hybridize in a relatively narrow zone of contact in the southern Great Plains, a pattern more commonly observed in smaller-bodied taxa, which suggests relatively recent contact after a long period of allopatry. Based on local ancestry inference with whole-genome sequencing (n = 43), we identified two distinct Holocene pulses of admixture. The older pulse (500-3500 YBP) reflected unidirectional gene flow from east to west, whereas the more recent pulse (70-200 YBP) of admixture was bi-directional. Augmented with genotyping-by-sequencing data from 216 additional foxes, demographic analyses indicated that the eastern lineage declined precipitously after divergence, remaining small throughout most of the late Pleistocene, and expanding only during the Holocene. Genetic diversity in the eastern lineage was highest in the southeast and lowest near the contact zone, consistent with a westward expansion. Concordantly, distribution modelling indicated that during their isolation, the most suitable habitat occurred far east of today's contact zone or west of the Great Plains. Thus, long-term isolation was likely caused by the small, distant location of the eastern refugium, with recent contact reflecting a large increase in suitable habitat and corresponding demographic expansion from the eastern refugium. Ultimately, long-term isolation in grey foxes may reflect their specialized bio-climatic niche. This system presents an opportunity for future investigation of potential pre- and post-zygotic isolating mechanisms.
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Affiliation(s)
- Sophie Preckler-Quisquater
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, California, USA
| | - Elizabeth M Kierepka
- North Carolina Museum of Natural Sciences, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina, USA
| | - Dawn M Reding
- Department of Biology, Luther College, Decorah, Iowa, USA
| | - Antoinette J Piaggio
- USDA, Wildlife Services, National Wildlife Research Center, Wildlife Genetics Lab, Fort Collins, Colorado, USA
| | - Benjamin N Sacks
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, California, USA
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5
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Wang Y, Wang Y, Cheng X, Ding Y, Wang C, Merilä J, Guo B. Prevalent Introgression Underlies Convergent Evolution in the Diversification of Pungitius Sticklebacks. Mol Biol Evol 2023; 40:7026025. [PMID: 36738166 PMCID: PMC9949714 DOI: 10.1093/molbev/msad026] [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: 08/26/2022] [Revised: 12/16/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
New mutations and standing genetic variations contribute significantly to repeated phenotypic evolution in sticklebacks. However, less is known about the role of introgression in this process. We analyzed taxonomically and geographically comprehensive genomic data from Pungitius sticklebacks to decipher the extent of introgression and its consequences for the diversification of this genus. Our results demonstrate that introgression is more prevalent than suggested by earlier studies. Although gene flow was generally bidirectional, it was often asymmetric and left unequal genomic signatures in hybridizing species, which might, at least partly, be due to biased hybridization and/or population size differences. In several cases, introgression of variants from one species to another was accompanied by transitions of pelvic and/or lateral plate structures-important diagnostic traits in Pungitius systematics-and frequently left signatures of adaptation in the core gene regulatory networks of armor trait development. This finding suggests that introgression has been an important source of genetic variation and enabled phenotypic convergence among Pungitius sticklebacks. The results highlight the importance of introgression of genetic variation as a source of adaptive variation underlying key ecological and taxonomic traits. Taken together, our study indicates that introgression-driven convergence likely explains the long-standing challenges in resolving the taxonomy and systematics of this small but phenotypically highly diverse group of fish.
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Affiliation(s)
- Yu Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Yingnan Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Xiaoqi Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Yongli Ding
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Chongnv Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Juha Merilä
- Ecological Genetics Research Unit, Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland,Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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6
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Coughlan JM, Dagilis AJ, Serrato-Capuchina A, Elias H, Peede D, Isbell K, Castillo DM, Cooper BS, Matute DR. Patterns of Population Structure and Introgression Among Recently Differentiated Drosophila melanogaster Populations. Mol Biol Evol 2022; 39:msac223. [PMID: 36251862 PMCID: PMC9641974 DOI: 10.1093/molbev/msac223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Despite a century of genetic analysis, the evolutionary processes that have generated the patterns of exceptional genetic and phenotypic variation in the model organism Drosophila melanogaster remains poorly understood. In particular, how genetic variation is partitioned within its putative ancestral range in Southern Africa remains unresolved. Here, we study patterns of population genetic structure, admixture, and the spatial structuring of candidate incompatibility alleles across a global sample, including 223 new accessions, predominantly from remote regions in Southern Africa. We identify nine major ancestries, six that primarily occur in Africa and one that has not been previously described. We find evidence for both contemporary and historical admixture between ancestries, with admixture rates varying both within and between continents. For example, while previous work has highlighted an admixture zone between broadly defined African and European ancestries in the Caribbean and southeastern USA, we identify West African ancestry as the most likely African contributor. Moreover, loci showing the strongest signal of introgression between West Africa and the Caribbean/southeastern USA include several genes relating to neurological development and male courtship behavior, in line with previous work showing shared mating behaviors between these regions. Finally, while we hypothesized that potential incompatibility loci may contribute to population genetic structure across the range of D. melanogaster; these loci are, on average, not highly differentiated between ancestries. This work contributes to our understanding of the evolutionary history of a key model system, and provides insight into the partitioning of diversity across its range.
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Affiliation(s)
- Jenn M Coughlan
- Biology Department, University of North Carolina, Chapel Hill, NC, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Andrius J Dagilis
- Biology Department, University of North Carolina, Chapel Hill, NC, USA
| | | | - Hope Elias
- Biology Department, University of North Carolina, Chapel Hill, NC, USA
| | - David Peede
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Kristin Isbell
- Biology Department, University of North Carolina, Chapel Hill, NC, USA
| | - Dean M Castillo
- Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Brandon S Cooper
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Daniel R Matute
- Biology Department, University of North Carolina, Chapel Hill, NC, USA
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7
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Hu L, Long J, Lin Y, Gu Z, Su H, Dong X, Lin Z, Xiao Q, Batbayar N, Bold B, Deutschová L, Ganusevich S, Sokolov V, Sokolov A, Patel HR, Waters PD, Graves JAM, Dixon A, Pan S, Zhan X. Arctic introgression and chromatin regulation facilitated rapid Qinghai-Tibet Plateau colonization by an avian predator. Nat Commun 2022; 13:6413. [PMID: 36302769 PMCID: PMC9613686 DOI: 10.1038/s41467-022-34138-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 10/14/2022] [Indexed: 12/25/2022] Open
Abstract
The Qinghai-Tibet Plateau (QTP), possesses a climate as cold as that of the Arctic, and also presents uniquely low oxygen concentrations and intense ultraviolet (UV) radiation. QTP animals have adapted to these extreme conditions, but whether they obtained genetic variations from the Arctic during cold adaptation, and how genomic mutations in non-coding regions regulate gene expression under hypoxia and intense UV environment, remain largely unknown. Here, we assemble a high-quality saker falcon genome and resequence populations across Eurasia. We identify female-biased hybridization with Arctic gyrfalcons in the last glacial maximum, that endowed eastern sakers with alleles conveying larger body size and changes in fat metabolism, predisposing their QTP cold adaptation. We discover that QTP hypoxia and UV adaptations mainly involve independent changes in non-coding genomic variants. Our study highlights key roles of gene flow from Arctic relatives during QTP hypothermia adaptation, and cis-regulatory elements during hypoxic response and UV protection.
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Affiliation(s)
- Li Hu
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Juan Long
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Yi Lin
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Zhongru Gu
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Han Su
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Xuemin Dong
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Zhenzhen Lin
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Qian Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,grid.20513.350000 0004 1789 9964Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, 100875 Beijing, China
| | - Nyambayar Batbayar
- Wildlife Science and Conservation Center, Union Building B-802, Ulaanbaatar, 14210 Mongolia
| | - Batbayar Bold
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,Wildlife Science and Conservation Center, Union Building B-802, Ulaanbaatar, 14210 Mongolia
| | - Lucia Deutschová
- grid.455051.0Raptor Protection of Slovakia, Trhová 54, SK-841 01, Bratislava, Slovakia
| | - Sergey Ganusevich
- Wild Animal Rescue Centre, Krasnostudencheskiy pr., 21-45, Moscow, 125422 Russia
| | - Vasiliy Sokolov
- grid.426536.00000 0004 1760 306XInstitute of Plant and Animal Ecology, Ural Division Russian Academy of Sciences, 202-8 Marta Street, Ekaterinburg, 620144 Russia
| | - Aleksandr Sokolov
- Arctic Research Station of the Institute of Plant and Animal Ecology, Ural Division Russian Academy of Sciences, 21 Zelenaya Gorka, Labytnangi, Yamalo-Nenetski District 629400 Russia
| | - Hardip R. Patel
- grid.1001.00000 0001 2180 7477The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601 Australia
| | - Paul D. Waters
- grid.1005.40000 0004 4902 0432School of Biotechnology and Biomolecular Science, Faculty of Science, UNSW Sydney, Sydney, NSW 2052 Australia
| | | | - Andrew Dixon
- Emirates Falconers’ Club, Al Mamoura Building (A), P.O. Box 47716, Muroor Road, Abu Dhabi, UAE ,grid.511767.30000 0004 5895 0922International Wildlife Consultants, P.O. Box 19, Carmarthen, SA33 5YL UK
| | - Shengkai Pan
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Xiangjiang Zhan
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,grid.9227.e0000000119573309Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223 China
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8
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Blanco Pastor JL. Alternative modes of introgression-mediated selection shaped crop adaptation to novel climates. Genome Biol Evol 2022; 14:6647590. [PMID: 35859297 PMCID: PMC9348624 DOI: 10.1093/gbe/evac107] [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] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Recent plant genomic studies provide fine-grained details on the evolutionary consequences of adaptive introgression during crop domestication. Modern genomic approaches and analytical methods now make it possible to better separate the introgression signal from the demographic signal thus providing a more comprehensive and complex picture of the role of introgression in local adaptation. Adaptive introgression has been fundamental for crop expansion and has involved complex patterns of gene flow. In addition to providing new and more favorable alleles of large effect, introgression during the early stages of domestication also increased allelic diversity at adaptive loci. Previous studies have largely underestimated the effect of such increased diversity following introgression. Recent genomic studies in wheat, potato, maize, grapevine, and ryegrass show that introgression of multiple genes, of as yet unknown effect, increased the effectiveness of purifying selection, and promoted disruptive or fluctuating selection in early cultivars and landraces. Historical selection processes associated with introgression from crop wild relatives provide an instructive analog for adaptation to current climate change and offer new avenues for crop breeding research that are expected to be instrumental for strengthening food security in the coming years.
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9
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Laidre KL, Supple MA, Born EW, Regehr EV, Wiig Ø, Ugarte F, Aars J, Dietz R, Sonne C, Hegelund P, Isaksen C, Akse GB, Cohen B, Stern HL, Moon T, Vollmers C, Corbett-Detig R, Paetkau D, Shapiro B. Glacial ice supports a distinct and undocumented polar bear subpopulation persisting in late 21st-century sea-ice conditions. Science 2022; 376:1333-1338. [PMID: 35709290 DOI: 10.1126/science.abk2793] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Polar bears are susceptible to climate warming because of their dependence on sea ice, which is declining rapidly. We present the first evidence for a genetically distinct and functionally isolated group of polar bears in Southeast Greenland. These bears occupy sea-ice conditions resembling those projected for the High Arctic in the late 21st century, with an annual ice-free period that is >100 days longer than the estimated fasting threshold for the species. Whereas polar bears in most of the Arctic depend on annual sea ice to catch seals, Southeast Greenland bears have a year-round hunting platform in the form of freshwater glacial mélange. This suggests that marine-terminating glaciers, although of limited availability, may serve as previously unrecognized climate refugia. Conservation of Southeast Greenland polar bears, which meet criteria for recognition as the world's 20th polar bear subpopulation, is necessary to preserve the genetic diversity and evolutionary potential of the species.
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Affiliation(s)
- Kristin L Laidre
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA.,Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Megan A Supple
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Erik W Born
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Eric V Regehr
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Øystein Wiig
- Natural History Museum, University of Oslo, Blindern, NO-0318 Oslo, Norway
| | - Fernando Ugarte
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Jon Aars
- Norwegian Polar Institute, Fram Centre, NO-9296 Tromsø, Norway
| | - Rune Dietz
- Department of Ecoscience and Arctic Research Centre, Aarhus University, DK-4000 Roskilde, Denmark
| | - Christian Sonne
- Department of Ecoscience and Arctic Research Centre, Aarhus University, DK-4000 Roskilde, Denmark
| | - Peter Hegelund
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Carl Isaksen
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | | | - Benjamin Cohen
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Harry L Stern
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Twila Moon
- National Snow and Ice Data Center, Cooperative Institute for Research In Environmental Sciences (CIRES), University of Colorado, Boulder, CO 80309, USA
| | - Christopher Vollmers
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Russ Corbett-Detig
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Paetkau
- Wildlife Genetics International, Nelson, BC V1L 5P9, Canada
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.,Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
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10
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Cuadros-Espinoza S, Laval G, Quintana-Murci L, Patin E. The genomic signatures of natural selection in admixed human populations. Am J Hum Genet 2022; 109:710-726. [PMID: 35259336 DOI: 10.1016/j.ajhg.2022.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/14/2022] [Indexed: 12/15/2022] Open
Abstract
Admixture has been a pervasive phenomenon in human history, extensively shaping the patterns of population genetic diversity. There is increasing evidence to suggest that admixture can also facilitate genetic adaptation to local environments, i.e., admixed populations acquire beneficial mutations from source populations, a process that we refer to as "adaptive admixture." However, the role of adaptive admixture in human evolution and the power to detect it remain poorly characterized. Here, we use extensive computer simulations to evaluate the power of several neutrality statistics to detect natural selection in the admixed population, assuming multiple admixture scenarios. We show that statistics based on admixture proportions, Fadm and LAD, show high power to detect mutations that are beneficial in the admixed population, whereas other statistics, including iHS and FST, falsely detect neutral mutations that have been selected in the source populations only. By combining Fadm and LAD into a single, powerful statistic, we scanned the genomes of 15 worldwide, admixed populations for signatures of adaptive admixture. We confirm that lactase persistence and resistance to malaria have been under adaptive admixture in West Africans and in Malagasy, North Africans, and South Asians, respectively. Our approach also uncovers other cases of adaptive admixture, including APOL1 in Fulani nomads and PKN2 in East Indonesians, involved in resistance to infection and metabolism, respectively. Collectively, our study provides evidence that adaptive admixture has occurred in human populations whose genetic history is characterized by periods of isolation and spatial expansions resulting in increased gene flow.
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11
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Janzen T, Miró Pina V. Estimating the time since admixture from phased and unphased molecular data. Mol Ecol Resour 2021; 22:908-926. [PMID: 34599646 PMCID: PMC9291888 DOI: 10.1111/1755-0998.13519] [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: 09/29/2020] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 11/26/2022]
Abstract
After admixture, recombination breaks down genomic blocks of contiguous ancestry. The breakdown of these blocks forms a new “molecular clock” that ticks at a much faster rate than the mutation clock, enabling accurate dating of admixture events in the recent past. However, existing theory on the breakdown of these blocks, or the accumulation of delineations between blocks, so‐called “junctions”, has mostly been limited to using regularly spaced markers on phased data. Here, we present an extension to the theory of junctions using the ancestral recombination graph that describes the expected number of junctions for any distribution of markers along the genome. Furthermore, we provide a new framework to infer the time since admixture using unphased data. We demonstrate both the phased and unphased methods on simulated data and show that our new extensions have improved accuracy with respect to previous methods, especially for smaller population sizes and more ancient admixture times. Lastly, we demonstrate the applicability of our method on three empirical data sets, including labcrosses of yeast (Saccharomyces cerevisae) and two case studies of hybridization in swordtail fish and Populus trees.
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Affiliation(s)
- Thijs Janzen
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.,Carl von Ossietzky University, Oldenburg, Germany
| | - Verónica Miró Pina
- Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), México City, México.,Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
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12
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Frayer ME, Payseur BA. Demographic history shapes genomic ancestry in hybrid zones. Ecol Evol 2021; 11:10290-10302. [PMID: 34367575 PMCID: PMC8328415 DOI: 10.1002/ece3.7833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 12/26/2022] Open
Abstract
Demographic factors such as migration rate and population size can impede or facilitate speciation. In hybrid zones, reproductive boundaries between species are tested and demography mediates the opportunity for admixture between lineages that are partially isolated. Genomic ancestry is a powerful tool for revealing the history of admixed populations, but models and methods based on local ancestry are rarely applied to structured hybrid zones. To understand the effects of demography on ancestry in hybrids zones, we performed individual-based simulations under a stepping-stone model, treating migration rate, deme size, and hybrid zone age as parameters. We find that the number of ancestry junctions (the transition points between genomic regions with different ancestries) and heterogenicity (the genomic proportion heterozygous for ancestry) are often closely connected to demographic history. Reducing deme size reduces junction number and heterogenicity. Elevating migration rate increases heterogenicity, but migration affects junction number in more complex ways. We highlight the junction frequency spectrum as a novel and informative summary of ancestry that responds to demographic history. A substantial proportion of junctions are expected to fix when migration is limited or deme size is small, changing the shape of the spectrum. Our findings suggest that genomic patterns of ancestry could be used to infer demographic history in hybrid zones.
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Affiliation(s)
- Megan E. Frayer
- Laboratory of GeneticsUniversity of Wisconsin MadisonMadisonWIUSA
| | - Bret A. Payseur
- Laboratory of GeneticsUniversity of Wisconsin MadisonMadisonWIUSA
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13
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Janzen T, Diaz F. Individual‐based simulations of genome evolution with ancestry: The
GenomeAdmixR
R package. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Thijs Janzen
- Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands
- Carl von Ossietzky University Oldenburg Germany
| | - Fernando Diaz
- Department of Entomology University of Arizona Tucson AZ USA
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14
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Lou RN, Jacobs A, Wilder A, Therkildsen NO. A beginner's guide to low-coverage whole genome sequencing for population genomics. Mol Ecol 2021; 30:5966-5993. [PMID: 34250668 DOI: 10.1111/mec.16077] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 11/26/2022]
Abstract
Low-coverage whole genome sequencing (lcWGS) has emerged as a powerful and cost-effective approach for population genomic studies in both model and non-model species. However, with read depths too low to confidently call individual genotypes, lcWGS requires specialized analysis tools that explicitly account for genotype uncertainty. A growing number of such tools have become available, but it can be difficult to get an overview of what types of analyses can be performed reliably with lcWGS data, and how the distribution of sequencing effort between the number of samples analyzed and per-sample sequencing depths affects inference accuracy. In this introductory guide to lcWGS, we first illustrate how the per-sample cost for lcWGS is now comparable to RAD-seq and Pool-seq in many systems. We then provide an overview of software packages that explicitly account for genotype uncertainty in different types of population genomic inference. Next, we use both simulated and empirical data to assess the accuracy of allele frequency and genetic diversity estimation, detection of population structure, and selection scans under different sequencing strategies. Our results show that spreading a given amount of sequencing effort across more samples with lower depth per sample consistently improves the accuracy of most types of inference, with a few notable exceptions. Finally, we assess the potential for using imputation to bolster inference from lcWGS data in non-model species, and discuss current limitations and future perspectives for lcWGS-based population genomics research. With this overview, we hope to make lcWGS more approachable and stimulate its broader adoption.
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Affiliation(s)
- Runyang Nicolas Lou
- Department of Natural Resources and the Environment, Cornell University, Ithaca, NY, 14853, USA
| | - Arne Jacobs
- Department of Natural Resources and the Environment, Cornell University, Ithaca, NY, 14853, USA.,Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Aryn Wilder
- San Diego Zoo Wildlife Alliance, Escondido, CA, 92027, USA
| | - Nina O Therkildsen
- Department of Natural Resources and the Environment, Cornell University, Ithaca, NY, 14853, USA
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15
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Svedberg J, Shchur V, Reinman S, Nielsen R, Corbett-Detig R. Inferring Adaptive Introgression Using Hidden Markov Models. Mol Biol Evol 2021; 38:2152-2165. [PMID: 33502512 PMCID: PMC8097282 DOI: 10.1093/molbev/msab014] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Adaptive introgression-the flow of adaptive genetic variation between species or populations-has attracted significant interest in recent years and it has been implicated in a number of cases of adaptation, from pesticide resistance and immunity, to local adaptation. Despite this, methods for identification of adaptive introgression from population genomic data are lacking. Here, we present Ancestry_HMM-S, a hidden Markov model-based method for identifying genes undergoing adaptive introgression and quantifying the strength of selection acting on them. Through extensive validation, we show that this method performs well on moderately sized data sets for realistic population and selection parameters. We apply Ancestry_HMM-S to a data set of an admixed Drosophila melanogaster population from South Africa and we identify 17 loci which show signatures of adaptive introgression, four of which have previously been shown to confer resistance to insecticides. Ancestry_HMM-S provides a powerful method for inferring adaptive introgression in data sets that are typically collected when studying admixed populations. This method will enable powerful insights into the genetic consequences of admixture across diverse populations. Ancestry_HMM-S can be downloaded from https://github.com/jesvedberg/Ancestry_HMM-S/.
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Affiliation(s)
- Jesper Svedberg
- Department of Biomolecular Engineering, Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
| | - Vladimir Shchur
- National Research University Higher School of Economics, Moscow, Russian Federation
| | - Solomon Reinman
- Department of Biomolecular Engineering, Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
| | - Rasmus Nielsen
- National Research University Higher School of Economics, Moscow, Russian Federation
- Department of Integrative Biology and Department of Statistics, UC Berkeley, Berkeley, CA, USA
- Center for GeoGenetics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
- National Research University Higher School of Economics, Moscow, Russian Federation
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16
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Leitwein M, Cayuela H, Bernatchez L. Associative Overdominance and Negative Epistasis Shape Genome-Wide Ancestry Landscape in Supplemented Fish Populations. Genes (Basel) 2021; 12:genes12040524. [PMID: 33916757 PMCID: PMC8065892 DOI: 10.3390/genes12040524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/26/2021] [Accepted: 03/31/2021] [Indexed: 02/06/2023] Open
Abstract
The interplay between recombination rate, genetic drift and selection modulates variation in genome-wide ancestry. Understanding the selective processes at play is of prime importance toward predicting potential beneficial or negative effects of supplementation with domestic strains (i.e., human-introduced strains). In a system of lacustrine populations supplemented with a single domestic strain, we documented how population genetic diversity and stocking intensity produced lake-specific patterns of domestic ancestry by taking the species’ local recombination rate into consideration. We used 552 Brook Charr (Salvelinus fontinalis) from 22 small lacustrine populations, genotyped at ~32,400 mapped SNPs. We observed highly variable patterns of domestic ancestry between each of the 22 populations without any consistency in introgression patterns of the domestic ancestry. Our results suggest that such lake-specific ancestry patterns were mainly due to variable associative overdominance (AOD) effects among populations (i.e., potential positive effects due to the masking of possible deleterious alleles in low recombining regions). Signatures of AOD effects were also emphasized by highly variable patterns of genetic diversity among and within lakes, potentially driven by predominant genetic drift in those small isolated populations. Local negative effects such as negative epistasis (i.e., potential genetic incompatibilities between the native and the introduced population) potentially reflecting precursory signs of outbreeding depression were also observed at a chromosomal scale. Consequently, in order to improve conservation practices and management strategies, it became necessary to assess the consequences of supplementation at the population level by taking into account both genetic diversity and stocking intensity when available.
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17
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Fortes-Lima CA, Laurent R, Thouzeau V, Toupance B, Verdu P. Complex genetic admixture histories reconstructed with Approximate Bayesian Computation. Mol Ecol Resour 2021; 21:1098-1117. [PMID: 33452723 PMCID: PMC8247995 DOI: 10.1111/1755-0998.13325] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/11/2020] [Accepted: 01/07/2021] [Indexed: 01/19/2023]
Abstract
Admixture is a fundamental evolutionary process that has influenced genetic patterns in numerous species. Maximum‐likelihood approaches based on allele frequencies and linkage‐disequilibrium have been extensively used to infer admixture processes from genome‐wide data sets, mostly in human populations. Nevertheless, complex admixture histories, beyond one or two pulses of admixture, remain methodologically challenging to reconstruct. We developed an Approximate Bayesian Computation (ABC) framework to reconstruct highly complex admixture histories from independent genetic markers. We built the software package methis to simulate independent SNPs or microsatellites in a two‐way admixed population for scenarios with multiple admixture pulses, monotonically decreasing or increasing recurring admixture, or combinations of these scenarios. methis allows users to draw model‐parameter values from prior distributions set by the user, and, for each simulation, methis can calculate numerous summary statistics describing genetic diversity patterns and moments of the distribution of individual admixture fractions. We coupled methis with existing machine‐learning ABC algorithms and investigated the admixture history of admixed populations. Results showed that random forest ABC scenario‐choice could accurately distinguish among most complex admixture scenarios, and errors were mainly found in regions of the parameter space where scenarios were highly nested, and, thus, biologically similar. We focused on African American and Barbadian populations as two study‐cases. We found that neural network ABC posterior parameter estimation was accurate and reasonably conservative under complex admixture scenarios. For both admixed populations, we found that monotonically decreasing contributions over time, from Europe and Africa, explained the observed data more accurately than multiple admixture pulses. This approach will allow for reconstructing detailed admixture histories when maximum‐likelihood methods are intractable.
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Affiliation(s)
- Cesar A Fortes-Lima
- UMR7206 Eco-anthropologie, CNRS, Muséum National d'Histoire Naturelle, Université de Paris, Paris, France.,Sub-department of Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Romain Laurent
- UMR7206 Eco-anthropologie, CNRS, Muséum National d'Histoire Naturelle, Université de Paris, Paris, France
| | - Valentin Thouzeau
- UMR7534 Centre de Recherche en Mathématiques de la Décision, CNRS, Université Paris-Dauphine, PSL University, Paris, France.,Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, ENS, PSL University, EHESS, CNRS, Paris, France
| | - Bruno Toupance
- UMR7206 Eco-anthropologie, CNRS, Muséum National d'Histoire Naturelle, Université de Paris, Paris, France
| | - Paul Verdu
- UMR7206 Eco-anthropologie, CNRS, Muséum National d'Histoire Naturelle, Université de Paris, Paris, France
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18
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Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass. Nature 2021; 590:438-444. [PMID: 33505029 PMCID: PMC7886653 DOI: 10.1038/s41586-020-03127-1] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 12/16/2020] [Indexed: 01/30/2023]
Abstract
Long-term climate change and periodic environmental extremes threaten food and fuel security1 and global crop productivity2-4. Although molecular and adaptive breeding strategies can buffer the effects of climatic stress and improve crop resilience5, these approaches require sufficient knowledge of the genes that underlie productivity and adaptation6-knowledge that has been limited to a small number of well-studied model systems. Here we present the assembly and annotation of the large and complex genome of the polyploid bioenergy crop switchgrass (Panicum virgatum). Analysis of biomass and survival among 732 resequenced genotypes, which were grown across 10 common gardens that span 1,800 km of latitude, jointly revealed extensive genomic evidence of climate adaptation. Climate-gene-biomass associations were abundant but varied considerably among deeply diverged gene pools. Furthermore, we found that gene flow accelerated climate adaptation during the postglacial colonization of northern habitats through introgression of alleles from a pre-adapted northern gene pool. The polyploid nature of switchgrass also enhanced adaptive potential through the fractionation of gene function, as there was an increased level of heritable genetic diversity on the nondominant subgenome. In addition to investigating patterns of climate adaptation, the genome resources and gene-trait associations developed here provide breeders with the necessary tools to increase switchgrass yield for the sustainable production of bioenergy.
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19
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Demographic analyses of a new sample of haploid genomes from a Swedish population of Drosophila melanogaster. Sci Rep 2020; 10:22415. [PMID: 33376238 PMCID: PMC7772335 DOI: 10.1038/s41598-020-79720-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 12/11/2020] [Indexed: 01/27/2023] Open
Abstract
European and African natural populations of Drosophila melanogaster have been the focus of several studies aiming at inferring demographic and adaptive processes based on genetic variation data. However, in these analyses little attention has been given to gene flow between African and European samples. Here we present a dataset consisting of 14 fully sequenced haploid genomes sampled from a natural population from the northern species range (Umeå, Sweden). We co-analyzed this new data with an African population to compare the likelihood of several competing demographic scenarios for European and African populations and show that gene flow improves the fit of demographic models to data.
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20
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Schumer M, Powell DL, Corbett-Detig R. Versatile simulations of admixture and accurate local ancestry inference with mixnmatch and ancestryinfer. Mol Ecol Resour 2020; 20:1141-1151. [PMID: 32324964 PMCID: PMC7384932 DOI: 10.1111/1755-0998.13175] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 03/09/2020] [Accepted: 04/15/2020] [Indexed: 12/13/2022]
Abstract
It has become clear that hybridization between species is much more common than previously recognized. As a result, we now know that the genomes of many modern species, including our own, are a patchwork of regions derived from past hybridization events. Increasingly researchers are interested in disentangling which regions of the genome originated from each parental species using local ancestry inference methods. Due to the diverse effects of admixture, this interest is shared across disparate fields, from human genetics to research in ecology and evolutionary biology. However, local ancestry inference methods are sensitive to a range of biological and technical parameters which can impact accuracy. Here we present paired simulation and ancestry inference pipelines, mixnmatch and ancestryinfer, to help researchers plan and execute local ancestry inference studies. mixnmatch can simulate arbitrarily complex demographic histories in the parental and hybrid populations, selection on hybrids, and technical variables such as coverage and contamination. ancestryinfer takes as input sequencing reads from simulated or real individuals, and implements an efficient local ancestry inference pipeline. We perform a series of simulations with mixnmatch to pinpoint factors that influence accuracy in local ancestry inference and highlight useful features of the two pipelines. mixnmatch is a powerful tool for simulations of hybridization while ancestryinfer facilitates local ancestry inference on real or simulated data.
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Affiliation(s)
- Molly Schumer
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”
- Hanna H. Gray Fellow, Howard Hughes Medical Institute
| | - Daniel L. Powell
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”
- Department of Biology, Texas A&M University
| | - Russ Corbett-Detig
- Genomics Institute, University of California, Santa Cruz
- Department of Biomolecular Engineering, University of California, Santa Cruz
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21
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Leitwein M, Duranton M, Rougemont Q, Gagnaire PA, Bernatchez L. Using Haplotype Information for Conservation Genomics. Trends Ecol Evol 2020; 35:245-258. [DOI: 10.1016/j.tree.2019.10.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/18/2019] [Accepted: 10/28/2019] [Indexed: 12/19/2022]
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22
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Duranton M, Bonhomme F, Gagnaire P. The spatial scale of dispersal revealed by admixture tracts. Evol Appl 2019; 12:1743-1756. [PMID: 31548854 PMCID: PMC6752141 DOI: 10.1111/eva.12829] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 05/28/2019] [Indexed: 12/11/2022] Open
Abstract
Evaluating species dispersal across the landscape is essential to design appropriate management and conservation actions. However, technical difficulties often preclude direct measures of individual movement, while indirect genetic approaches rely on assumptions that sometimes limit their application. Here, we show that the temporal decay of admixture tracts lengths can be used to assess genetic connectivity within a population introgressed by foreign haplotypes. We present a proof-of-concept approach based on local ancestry inference in a high gene flow marine fish species, the European sea bass (Dicentrarchus labrax). Genetic admixture in the contact zone between Atlantic and Mediterranean sea bass lineages allows the introgression of Atlantic haplotype tracts within the Mediterranean Sea. Once introgressed, blocks of foreign ancestry are progressively eroded by recombination as they diffuse from the western to the eastern Mediterranean basin, providing a means to estimate dispersal. By comparing the length distributions of Atlantic tracts between two Mediterranean populations located at different distances from the contact zone, we estimated the average per-generation dispersal distance within the Mediterranean lineage to less than 50 km. Using simulations, we showed that this approach is robust to a range of demographic histories and sample sizes. Our results thus support that the length of admixture tracts can be used together with a recombination clock to estimate genetic connectivity in species for which the neutral migration-drift balance is not informative or simply does not exist.
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Affiliation(s)
- Maud Duranton
- ISEM, Univ Montpellier, CNRS, EPHE, IRDMontpellierFrance
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23
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Cornille A, Antolín F, Garcia E, Vernesi C, Fietta A, Brinkkemper O, Kirleis W, Schlumbaum A, Roldán-Ruiz I. A Multifaceted Overview of Apple Tree Domestication. TRENDS IN PLANT SCIENCE 2019; 24:770-782. [PMID: 31296442 DOI: 10.1016/j.tplants.2019.05.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 05/15/2019] [Accepted: 05/20/2019] [Indexed: 05/19/2023]
Abstract
The apple is an iconic tree and a major fruit crop worldwide. It is also a model species for the study of the evolutionary processes and genomic basis underlying the domestication of clonally propagated perennial crops. Multidisciplinary approaches from across Eurasia have documented the pace and process of cultivation of this remarkable crop. While population genetics and genomics have revealed the overall domestication history of apple across Eurasia, untangling the evolutionary processes involved, archeobotany has helped to document the transition from gathering and using apples to the practice of cultivation. Further studies integrating archeogenetic and archeogenomic approaches will bring new insights about key traits involved in apple domestication. Such knowledge has potential to boost innovation in present-day apple breeding.
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Affiliation(s)
- Amandine Cornille
- Génétique Quantitative et Evolution- Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.
| | - Ferran Antolín
- Integrative Prehistory and Archeological Science (IPNA/IPAS), Department of Environmental Sciences, University of Basel, Spalenring 145, 4055 Basel, Switzerland
| | - Elena Garcia
- Department of Horticulture, University of Arkansas, Fayetteville, AR, USA
| | - Cristiano Vernesi
- Department of Biodiversity and Molecular Ecology, Research and Innovation Centre - Fondazione Edmund Mach, via Edmund Mach 1, 38010 San Michele all'Adige, TN, Italy
| | - Alice Fietta
- Department of Biodiversity and Molecular Ecology, Research and Innovation Centre - Fondazione Edmund Mach, via Edmund Mach 1, 38010 San Michele all'Adige, TN, Italy
| | - Otto Brinkkemper
- Cultural Heritage Agency, PO Box 1600, 3800 BP Amersfoort, The Netherlands
| | - Wiebke Kirleis
- Institute for Prehistoric and Protohistoric Archeology/Graduate School Human Development in Landscapes, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Angela Schlumbaum
- Integrative Prehistory and Archeological Science (IPNA/IPAS), Department of Environmental Sciences, University of Basel, Spalenring 145, 4055 Basel, Switzerland
| | - Isabel Roldán-Ruiz
- Flanders Research Institute for Agriculture, Fisheries, and Food (ILVO), Plant Sciences Unit, Caritasstraat 39, 9090 Melle, Belgium; Ghent University, Faculty of Sciences, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent, Belgium
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24
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Arguello JR, Laurent S, Clark AG. Demographic History of the Human Commensal Drosophila melanogaster. Genome Biol Evol 2019; 11:844-854. [PMID: 30715331 PMCID: PMC6430986 DOI: 10.1093/gbe/evz022] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2019] [Indexed: 12/14/2022] Open
Abstract
The cohabitation of Drosophila melanogaster with humans is nearly ubiquitous. Though it has been well established that this fly species originated in sub-Saharan Africa, and only recently has spread globally, many details of its swift expansion remain unclear. Elucidating the demographic history of D. melanogaster provides a unique opportunity to investigate how human movement might have impacted patterns of genetic diversity in a commensal species, as well as providing neutral null models for studies aimed at identifying genomic signatures of local adaptation. Here, we use whole-genome data from five populations (Africa, North America, Europe, Central Asia, and the South Pacific) to carry out demographic inferences, with particular attention to the inclusion of migration and admixture. We demonstrate the importance of these parameters for model fitting and show that how previous estimates of divergence times are likely to be significantly underestimated as a result of not including them. Finally, we discuss how human movement along early shipping routes might have shaped the present-day population structure of D. melanogaster.
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Affiliation(s)
- J Roman Arguello
- Department of Ecology and Evolution, University of Lausanne, Switzerland
| | - Stefan Laurent
- Max Planck Institute for Plant Breeding Research, Köln, Germany
| | - Andrew G Clark
- Department of Molecular Biology and Genetics, Cornell University.,Department of Biological Statistics and Computational Biology, Cornell University
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25
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Peace CP, Bianco L, Troggio M, van de Weg E, Howard NP, Cornille A, Durel CE, Myles S, Migicovsky Z, Schaffer RJ, Costes E, Fazio G, Yamane H, van Nocker S, Gottschalk C, Costa F, Chagné D, Zhang X, Patocchi A, Gardiner SE, Hardner C, Kumar S, Laurens F, Bucher E, Main D, Jung S, Vanderzande S. Apple whole genome sequences: recent advances and new prospects. HORTICULTURE RESEARCH 2019; 6:59. [PMID: 30962944 PMCID: PMC6450873 DOI: 10.1038/s41438-019-0141-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/15/2019] [Accepted: 03/15/2019] [Indexed: 05/19/2023]
Abstract
In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple (Malus domestica). This WGS, v1.0, was valuable as the initial reference for sequence information, fine mapping, gene discovery, variant discovery, and tool development. A new, high quality apple WGS, GDDH13 v1.1, was released in 2017 and now serves as the reference genome for apple. Over the past decade, these apple WGSs have had an enormous impact on our understanding of apple biological functioning, trait physiology and inheritance, leading to practical applications for improving this highly valued crop. Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly. Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees. High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders. We understand the species, geographical, and genomic origins of domesticated apple more precisely, as well as its relationship to wild relatives. The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable, environmentally sound, productive, and consumer-desirable apple production. This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs. Recommendations for "what's next" focus on necessary upgrades to the genome sequence data pool, as well as for use of the data, to reach new frontiers in genomics-based scientific understanding of apple.
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Affiliation(s)
- Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Luca Bianco
- Computational Biology, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Michela Troggio
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Eric van de Weg
- Plant Breeding, Wageningen University and Research, Wageningen, 6708PB The Netherlands
| | - Nicholas P. Howard
- Department of Horticultural Science, University of Minnesota, St. Paul, MN 55108 USA
- Institut für Biologie und Umweltwissenschaften, Carl von Ossietzky Universität, 26129 Oldenburg, Germany
| | - Amandine Cornille
- GQE – Le Moulon, Institut National de la Recherche Agronomique, University of Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Charles-Eric Durel
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Robert J. Schaffer
- The New Zealand Institute for Plant and Food Research Ltd, Motueka, 7198 New Zealand
- School of Biological Sciences, University of Auckland, Auckland, 1142 New Zealand
| | - Evelyne Costes
- AGAP, INRA, CIRAD, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Gennaro Fazio
- Plant Genetic Resources Unit, USDA ARS, Geneva, NY 14456 USA
| | - Hisayo Yamane
- Laboratory of Pomology, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502 Japan
| | - Steve van Nocker
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Chris Gottschalk
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Fabrizio Costa
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, 100193 Beijing, China
| | | | - Susan E. Gardiner
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Craig Hardner
- Queensland Alliance of Agriculture and Food Innovation, University of Queensland, St Lucia, 4072 Australia
| | - Satish Kumar
- New Cultivar Innovation, Plant and Food Research, Havelock North, 4130 New Zealand
| | - Francois Laurens
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Etienne Bucher
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
- Agroscope, 1260 Changins, Switzerland
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
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