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Chen A, Zhao X, Wen J, Zhao X, Wang G, Zhang X, Ren X, Zhang Y, Cheng X, Yu X, Mei X, Wang H, Guo M, Jiang X, Wei G, Wang X, Jiang R, Guo X, Ning Z, Qu L. Genetic parameter estimation and molecular foundation of chicken beak shape. Poult Sci 2024; 103:103666. [PMID: 38703454 PMCID: PMC11087718 DOI: 10.1016/j.psj.2024.103666] [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: 01/08/2024] [Revised: 03/02/2024] [Accepted: 03/12/2024] [Indexed: 05/06/2024] Open
Abstract
The bird beak is mainly functioned as feeding and attacking, and its shape has extremely important significance for survival and reproduction. In chickens, since beak shape could lead to some disadvantages including pecking and waste of feed, it is important to understand the inheritance of chicken beak shape. In the present study, we firstly established 4 indicators to describe the chicken beak shapes, including upper beak length (UL), lower beak length (LL), distance between upper and lower beak tips (DB) and upper beak curvature (BC). And then, we measured the 4 beak shape indicators as well as some production traits including body weight (BW), shank length (SL), egg weight (EW), eggshell strength (ES) of a layer breed, Rhode Island Red (RIR), in order to estimate genetic parameters of chicken beak shape. The heritabilities of UL and LL were 0.41 and 0.37, and the heritabilities of DB and BC were 0.22 and 0.21, indicating that beak shape was a highly or mediumly heritable. There were significant positive genetic and phenotypic correlations among UL, LL, and DB. And UL was positively correlated with body weight (BW18) and shank length (SL18) at 18 weeks of age in genetics, and DB was positively correlated with BC in terms of genetics and phenotype. We also found that layers of chicken cages played a role on beak shape, which could be attributed to the difference of lightness in different cage layers. By a genome-wide association study (GWAS) for the chicken UL, we identified 9 significant candidate genes associated with UL in RIR. For the variants with low minor allele frequencies (MAF <0.01) and outside of high linkage disequilibrium (LD) regions, we also conducted rare variant association studies (RVA) and GWAS to find the association between genotype and phenotype. We also analyzed transcriptomic data from multiple tissues of chicken embryos and revealed that all of the 9 genes were highly expressed in beak of chicken embryos, indicating their potential function for beak development. Our results provided the genetic foundation of chicken beak shape, which could help chicken breeding on beak related traits.
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Affiliation(s)
- Anqi Chen
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Zhao
- Xingrui Agricultural Stock Breeding, Baoding 072550, Hebei Province, China
| | - Junhui Wen
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
| | - Xiurong Zhao
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Gang Wang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xinye Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xufang Ren
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yalan Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xue Cheng
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaofan Yu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaohan Mei
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Huie Wang
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China
| | - Menghan Guo
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Jiang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guozhen Wei
- Qingliu Animal Husbandry, Veterinary and Aquatic Products Center, Sanming, China
| | - Xue Wang
- VVBK Animal Medical Diagnostic Technology (Beijing) Co., Ltd, Beijing, China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Zhonghua Ning
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lujiang Qu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China.
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2
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Wilson LN, Gardner JD, Wilson JP, Farnsworth A, Perry ZR, Druckenmiller PS, Erickson GM, Organ CL. Global latitudinal gradients and the evolution of body size in dinosaurs and mammals. Nat Commun 2024; 15:2864. [PMID: 38580657 PMCID: PMC10997647 DOI: 10.1038/s41467-024-46843-2] [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: 01/05/2024] [Accepted: 03/12/2024] [Indexed: 04/07/2024] Open
Abstract
Global climate patterns fundamentally shape the distribution of species and ecosystems. For example, Bergmann's rule predicts that homeothermic animals, including birds and mammals, inhabiting cooler climates are generally larger than close relatives from warmer climates. The modern world, however, lacks the comparative data needed to evaluate such macroecological rules rigorously. Here, we test for Bergmann's rule in Mesozoic dinosaurs and mammaliaforms that radiated within relatively temperate global climate regimes. We develop a phylogenetic model that accounts for biases in the fossil record and allows for variable evolutionary dispersal rates. Our analysis also includes new fossil data from the extreme high-latitude Late Cretaceous Arctic Prince Creek Formation. We find no evidence for Bergmann's rule in Mesozoic dinosaurs or mammaliaforms, the ancestors of extant homeothermic birds and mammals. When our model is applied to thousands of extant dinosaur (bird) and mammal species, we find that body size evolution remains independent of latitude. A modest temperature effect is found in extant, but not in Mesozoic, birds, suggesting that body size evolution in modern birds was influenced by Bergmann's rule during Cenozoic climatic change. Our study provides a general approach for studying macroecological rules, highlighting the fossil record's power to address longstanding ecological principles.
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Affiliation(s)
- Lauren N Wilson
- University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA.
- Department of Geosciences, University of Alaska, Fairbanks, AK, 99775, USA.
| | - Jacob D Gardner
- School of Biological Sciences, University of Reading, Reading, RG6 6EX, UK.
| | - John P Wilson
- Department of Earth Sciences, Montana State University, Bozeman, MT, 59715, USA
| | - Alex Farnsworth
- School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1RL, UK
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Zackary R Perry
- University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA
- Department of Geosciences, University of Alaska, Fairbanks, AK, 99775, USA
| | - Patrick S Druckenmiller
- University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA
- Department of Geosciences, University of Alaska, Fairbanks, AK, 99775, USA
| | - Gregory M Erickson
- Department of Biological Science, Florida State University, Tallahassee, FL, 32306, USA
| | - Chris L Organ
- School of Biological Sciences, University of Reading, Reading, RG6 6EX, UK.
- Department of Earth Sciences, Montana State University, Bozeman, MT, 59715, USA.
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3
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Ferrão MAG, da Fonseca AFA, Volpi PS, de Souza LC, Comério M, Filho ACV, Riva-Souza EM, Munoz PR, Ferrão RG, Ferrão LFV. Genomic-assisted breeding for climate-smart coffee. THE PLANT GENOME 2024; 17:e20321. [PMID: 36946358 DOI: 10.1002/tpg2.20321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/25/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
Coffee is a universal beverage that drives a multi-industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic-assisted breeding for climate-smart coffee in Coffea canephora. This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality-related traits. By integrating genome-wide association studies and diallel analyses, our contribution is four-fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post-harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from different geographically botanical groups are crossed; (iii) we computed medium-to-large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora. Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes.
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Affiliation(s)
- Maria Amélia G Ferrão
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
- Empresa Brasileira de Pesquisa Agropecuária-Embrapa Café, Brasília, Brazil
| | - Aymbire F A da Fonseca
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
- Empresa Brasileira de Pesquisa Agropecuária-Embrapa Café, Brasília, Brazil
| | - Paulo S Volpi
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
| | - Lucimara C de Souza
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
| | - Marcone Comério
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
| | - Abraão C Verdin Filho
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
| | - Elaine M Riva-Souza
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
| | - Patricio R Munoz
- Blueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL, USA
| | - Romário G Ferrão
- Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural-Incaper, ES, Brazil
- Multivix Group, ES, Brazil
| | - Luís Felipe V Ferrão
- Blueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL, USA
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4
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Freudiger A, Jovanovic VM, Huang Y, Snyder-Mackler N, Conrad DF, Miller B, Montague MJ, Westphal H, Stadler PF, Bley S, Horvath JE, Brent LJN, Platt ML, Ruiz-Lambides A, Tung J, Nowick K, Ringbauer H, Widdig A. Taking identity-by-descent analysis into the wild: Estimating realized relatedness in free-ranging macaques. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.09.574911. [PMID: 38260273 PMCID: PMC10802400 DOI: 10.1101/2024.01.09.574911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Biological relatedness is a key consideration in studies of behavior, population structure, and trait evolution. Except for parent-offspring dyads, pedigrees capture relatedness imperfectly. The number and length of DNA segments that are identical-by-descent (IBD) yield the most precise estimates of relatedness. Here, we leverage novel methods for estimating locus-specific IBD from low coverage whole genome resequencing data to demonstrate the feasibility and value of resolving fine-scaled gradients of relatedness in free-living animals. Using primarily 4-6× coverage data from a rhesus macaque (Macaca mulatta) population with available long-term pedigree data, we show that we can call the number and length of IBD segments across the genome with high accuracy even at 0.5× coverage. The resulting estimates demonstrate substantial variation in genetic relatedness within kin classes, leading to overlapping distributions between kin classes. They identify cryptic genetic relatives that are not represented in the pedigree and reveal elevated recombination rates in females relative to males, which allows us to discriminate maternal and paternal kin using genotype data alone. Our findings represent a breakthrough in the ability to understand the predictors and consequences of genetic relatedness in natural populations, contributing to our understanding of a fundamental component of population structure in the wild.
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Affiliation(s)
- Annika Freudiger
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Vladimir M Jovanovic
- Human Biology and Primate Evolution, Institut für Zoologie, Freie Universität Berlin, Berlin, Germany
- Bioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany
| | - Yilei Huang
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
| | - Noah Snyder-Mackler
- Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, USA
| | - Donald F Conrad
- Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA
| | - Brian Miller
- Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA
| | - Michael J Montague
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hendrikje Westphal
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- Institute for Theoretical Chemistry, University of Vienna, Austria
- Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia
- Santa Fe Institute, Santa Fe, NM, USA
| | - Stefanie Bley
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Julie E Horvath
- Department of Biological and Biomedical Sciences, North Carolina Central University, North Carolina, Durham, USA
- Research and Collections Section, North Carolina Museum of Natural Sciences, North Carolina, Raleigh, USA
- Department of Biological Sciences, North Carolina State University, North Carolina, Raleigh, USA
- Department of Evolutionary Anthropology, Duke University, North Carolina, Durham, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lauren J N Brent
- Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | - Michael L Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, the Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Angelina Ruiz-Lambides
- Cayo Santiago Field Station, Caribbean Primate Research Center, University of Puerto Rico, Punta Santiago, Puerto Rico
| | - Jenny Tung
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Evolutionary Anthropology, Duke University, North Carolina, Durham, USA
- Department of Biology, Duke University, Durham, North Carolina, USA
- Duke University Population Research Institute, Durham, North Carolina, USA
| | - Katja Nowick
- Human Biology and Primate Evolution, Institut für Zoologie, Freie Universität Berlin, Berlin, Germany
- Bioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany
| | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Anja Widdig
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany
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5
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Beausoleil MO, Carrión PL, Podos J, Camacho C, Rabadán-González J, Richard R, Lalla K, Raeymaekers JAM, Knutie SA, De León LF, Chaves JA, Clayton DH, Koop JAH, Sharpe DMT, Gotanda KM, Huber SK, Barrett RDH, Hendry AP. The fitness landscape of a community of Darwin's finches. Evolution 2023; 77:2533-2546. [PMID: 37671423 DOI: 10.1093/evolut/qpad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/22/2023] [Accepted: 08/31/2023] [Indexed: 09/07/2023]
Abstract
Divergent natural selection should lead to adaptive radiation-that is, the rapid evolution of phenotypic and ecological diversity originating from a single clade. The drivers of adaptive radiation have often been conceptualized through the concept of "adaptive landscapes," yet formal empirical estimates of adaptive landscapes for natural adaptive radiations have proven elusive. Here, we use a 17-year dataset of Darwin's ground finches (Geospiza spp.) at an intensively studied site on Santa Cruz (Galápagos) to estimate individual apparent lifespan in relation to beak traits. We use these estimates to model a multi-species fitness landscape, which we also convert to a formal adaptive landscape. We then assess the correspondence between estimated fitness peaks and observed phenotypes for each of five phenotypic modes (G. fuliginosa, G. fortis [small and large morphotypes], G. magnirostris, and G. scandens). The fitness and adaptive landscapes show 5 and 4 peaks, respectively, and, as expected, the adaptive landscape was smoother than the fitness landscape. Each of the five phenotypic modes appeared reasonably close to the corresponding fitness peak, yet interesting deviations were also documented and examined. By estimating adaptive landscapes in an ongoing adaptive radiation, our study demonstrates their utility as a quantitative tool for exploring and predicting adaptive radiation.
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Affiliation(s)
| | - Paola Lorena Carrión
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Jeffrey Podos
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, United States
| | - Carlos Camacho
- Department of Ecology and Evolution, Estación Biológica de Doñana-CSIC, Sevilla, Spain
| | | | - Roxanne Richard
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Kristen Lalla
- Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Québec, Canada
| | | | - Sarah A Knutie
- Department of Ecology and Evolutionary Biology, Institute for Systems Genomics, University of Connecticut, Storrs, CT, United States
| | - Luis F De León
- Department of Biology, University of Massachusetts Boston, Boston, MA, United States
| | - Jaime A Chaves
- Department of Biology, San Francisco State University, San Francisco, CA, United States
- Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador
| | - Dale H Clayton
- School of Biological Sciences, University of Utah, Salt Lake City, UT, United States
| | - Jennifer A H Koop
- Department of Biological Sciences, Northern Illinois University, DeKalb, IL, United States
| | - Diana M T Sharpe
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Kiyoko M Gotanda
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
- Department of Biological Sciences, Brock University, St. Catharines, Ontario, Canada
- Department of Zoology, University of Cambridge, United Kingdom
- Département de biologie, Université de Sherbrooke, Québec, Canada
| | - Sarah K Huber
- Virginia Institute of Marine Science, William and Mary, Gloucester Point, VA, United States
| | - Rowan D H Barrett
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Andrew P Hendry
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
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6
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Enbody ED, Sendell-Price AT, Sprehn CG, Rubin CJ, Visscher PM, Grant BR, Grant PR, Andersson L. Community-wide genome sequencing reveals 30 years of Darwin's finch evolution. Science 2023; 381:eadf6218. [PMID: 37769091 DOI: 10.1126/science.adf6218] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 08/22/2023] [Indexed: 09/30/2023]
Abstract
A fundamental goal in evolutionary biology is to understand the genetic architecture of adaptive traits. Using whole-genome data of 3955 of Darwin's finches on the Galápagos Island of Daphne Major, we identified six loci of large effect that explain 45% of the variation in the highly heritable beak size of Geospiza fortis, a key ecological trait. The major locus is a supergene comprising four genes. Abrupt changes in allele frequencies at the loci accompanied a strong change in beak size caused by natural selection during a drought. A gradual change in Geospiza scandens occurred across 30 years as a result of introgressive hybridization with G. fortis. This study shows how a few loci with large effect on a fitness-related trait contribute to the genetic potential for rapid adaptive radiation.
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Affiliation(s)
- Erik D Enbody
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23 Uppsala, Sweden
| | - Ashley T Sendell-Price
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23 Uppsala, Sweden
| | - C Grace Sprehn
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23 Uppsala, Sweden
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23 Uppsala, Sweden
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, 306 Carmody Rd., St. Lucia QLD 4072, Australia
| | - B Rosemary Grant
- Department of Ecology and Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ 08544, USA
| | - Peter R Grant
- Department of Ecology and Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ 08544, USA
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23 Uppsala, Sweden
- Department of Veterinary Integrative Biosciences, Texas A&M University, 402 Raymond Stotzer Pkwy Building 2, College Station, TX 77843, USA
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7
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Recuerda M, Palacios M, Frías O, Hobson K, Nabholz B, Blanco G, Milá B. Adaptive phenotypic and genomic divergence in the common chaffinch (Fringilla coelebs) following niche expansion within a small oceanic island. J Evol Biol 2023; 36:1226-1241. [PMID: 37485603 DOI: 10.1111/jeb.14200] [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: 12/14/2022] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 07/25/2023]
Abstract
According to models of ecological speciation, adaptation to adjacent, contrasting habitat types can lead to population divergence given strong enough environment-driven selection to counteract the homogenizing effect of gene flow. We tested this hypothesis in the common chaffinch (Fringilla coelebs) on the small island of La Palma, Canary Islands, where it occupies two markedly different habitats. Isotopic (δ13 C, δ15 N) analysis of feathers indicated that birds in the two habitats differed in ecosystem and/or diet, and analysis of phenotypic traits revealed significant differences in morphology and plumage colouration that are consistent with ecomorphological and ecogeographical predictions respectively. A genome-wide survey of single-nucleotide polymorphism revealed marked neutral structure that was consistent with geography and isolation by distance, suggesting low dispersal. In contrast, loci putatively under selection identified through genome-wide association and genotype-environment association analyses, revealed amarked adaptive divergence between birds in both habitats. Loci associated with phenotypic and environmental differences among habitats were distributed across the genome, as expected for polygenic traits involved in local adaptation. Our results suggest a strong role for habitat-driven local adaptation in population divergence in the chaffinches of La Palma, a process that appears to be facilitated by a strong reduction in effective dispersal distances despite the birds' high dispersal capacity.
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Affiliation(s)
- María Recuerda
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
| | - Mercè Palacios
- Department of Biodiversity, Ecology and Evolution, Universidad Complutense de Madrid, Madrid, Spain
| | - Oscar Frías
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
| | - Keith Hobson
- Biology Department, Western University, London, Ontario, Canada
| | - Benoit Nabholz
- Institut des Sciences de l'Évolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France
- Institut Universitaire de France (IUF), Paris, France
| | - Guillermo Blanco
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
| | - Borja Milá
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
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8
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Wogan GOU, Yuan ML, Mahler DL, Wang IJ. Hybridization and Transgressive Evolution Generate Diversity in an Adaptive Radiation of Anolis Lizards. Syst Biol 2023; 72:874-884. [PMID: 37186031 PMCID: PMC10687355 DOI: 10.1093/sysbio/syad026] [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: 06/30/2022] [Revised: 04/01/2023] [Accepted: 04/24/2023] [Indexed: 05/17/2023] Open
Abstract
Interspecific hybridization may act as a major force contributing to the evolution of biodiversity. Although generally thought to reduce or constrain divergence between 2 species, hybridization can, paradoxically, promote divergence by increasing genetic variation or providing novel combinations of alleles that selection can act upon to move lineages toward new adaptive peaks. Hybridization may, then, play a key role in adaptive radiation by allowing lineages to diversify into new ecological space. Here, we test for signatures of historical hybridization in the Anolis lizards of Puerto Rico and evaluate 2 hypotheses for the role of hybridization in facilitating adaptive radiation-the hybrid swarm origins hypothesis and the syngameon hypothesis. Using whole genome sequences from all 10 species of Puerto Rican anoles, we calculated D and f-statistics (from ABBA-BABA tests) to test for introgression across the radiation and employed multispecies network coalescent methods to reconstruct phylogenetic networks that allow for hybridization. We then analyzed morphological data for these species to test for patterns consistent with transgressive evolution, a phenomenon in which the trait of a hybrid lineage is found outside of the range of its 2 parents. Our analyses uncovered strong evidence for introgression at multiple stages of the radiation, including support for an ancient hybrid origin of a clade comprising half of the extant Puerto Rican anole species. Moreover, we detected significant signals of transgressive evolution for 2 ecologically important traits, head length and toepad width, the latter of which has been described as a key innovation in Anolis. [Adaptive radiation; introgression; multispecies network coalescent; phenotypic evolution; phylogenetic network; reticulation; syngameon; transgressive segregation.].
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Affiliation(s)
- Guinevere O U Wogan
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
- Department of Integrative Biology, Oklahoma State University, Stillwater, OK 74078, USA
| | - Michael L Yuan
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - D Luke Mahler
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Ian J Wang
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
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9
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Thompson JB, Davis KE, Dodd HO, Wills MA, Priest NK. Speciation across the Earth driven by global cooling in terrestrial orchids. Proc Natl Acad Sci U S A 2023; 120:e2102408120. [PMID: 37428929 PMCID: PMC10629580 DOI: 10.1073/pnas.2102408120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 06/03/2023] [Indexed: 07/12/2023] Open
Abstract
Although climate change has been implicated as a major catalyst of diversification, its effects are thought to be inconsistent and much less pervasive than localized climate or the accumulation of species with time. Focused analyses of highly speciose clades are needed in order to disentangle the consequences of climate change, geography, and time. Here, we show that global cooling shapes the biodiversity of terrestrial orchids. Using a phylogeny of 1,475 species of Orchidoideae, the largest terrestrial orchid subfamily, we find that speciation rate is dependent on historic global cooling, not time, tropical distributions, elevation, variation in chromosome number, or other types of historic climate change. Relative to the gradual accumulation of species with time, models specifying speciation driven by historic global cooling are over 700 times more likely. Evidence ratios estimated for 212 other plant and animal groups reveal that terrestrial orchids represent one of the best-supported cases of temperature-spurred speciation yet reported. Employing >2.5 million georeferenced records, we find that global cooling drove contemporaneous diversification in each of the seven major orchid bioregions of the Earth. With current emphasis on understanding and predicting the immediate impacts of global warming, our study provides a clear case study of the long-term impacts of global climate change on biodiversity.
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Affiliation(s)
- Jamie B. Thompson
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Katie E. Davis
- Department of Biology, University of York, YorkYO10 5DD, United Kingdom
| | - Harry O. Dodd
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Matthew A. Wills
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Nicholas K. Priest
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
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10
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Hu Y, Wang X, Xu Y, Yang H, Tong Z, Tian R, Xu S, Yu L, Guo Y, Shi P, Huang S, Yang G, Shi S, Wei F. Molecular mechanisms of adaptive evolution in wild animals and plants. SCIENCE CHINA. LIFE SCIENCES 2023; 66:453-495. [PMID: 36648611 PMCID: PMC9843154 DOI: 10.1007/s11427-022-2233-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 08/30/2022] [Indexed: 01/18/2023]
Abstract
Wild animals and plants have developed a variety of adaptive traits driven by adaptive evolution, an important strategy for species survival and persistence. Uncovering the molecular mechanisms of adaptive evolution is the key to understanding species diversification, phenotypic convergence, and inter-species interaction. As the genome sequences of more and more non-model organisms are becoming available, the focus of studies on molecular mechanisms of adaptive evolution has shifted from the candidate gene method to genetic mapping based on genome-wide scanning. In this study, we reviewed the latest research advances in wild animals and plants, focusing on adaptive traits, convergent evolution, and coevolution. Firstly, we focused on the adaptive evolution of morphological, behavioral, and physiological traits. Secondly, we reviewed the phenotypic convergences of life history traits and responding to environmental pressures, and the underlying molecular convergence mechanisms. Thirdly, we summarized the advances of coevolution, including the four main types: mutualism, parasitism, predation and competition. Overall, these latest advances greatly increase our understanding of the underlying molecular mechanisms for diverse adaptive traits and species interaction, demonstrating that the development of evolutionary biology has been greatly accelerated by multi-omics technologies. Finally, we highlighted the emerging trends and future prospects around the above three aspects of adaptive evolution.
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Affiliation(s)
- Yibo Hu
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiaoping Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Yongchao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Hui Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Zeyu Tong
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Ran Tian
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Shaohua Xu
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China.
| | - Yalong Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Peng Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
| | - Shuangquan Huang
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
| | - Guang Yang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
| | - Suhua Shi
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Fuwen Wei
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
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11
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Genetic and ecological drivers of molt in a migratory bird. Sci Rep 2023; 13:814. [PMID: 36646769 PMCID: PMC9842746 DOI: 10.1038/s41598-022-26973-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/22/2022] [Indexed: 01/18/2023] Open
Abstract
The ability of animals to sync the timing and location of molting (the replacement of hair, skin, exoskeletons or feathers) with peaks in resource availability has important implications for their ecology and evolution. In migratory birds, the timing and location of pre-migratory feather molting, a period when feathers are shed and replaced with newer, more aerodynamic feathers, can vary within and between species. While hypotheses to explain the evolution of intraspecific variation in the timing and location of molt have been proposed, little is known about the genetic basis of this trait or the specific environmental drivers that may result in natural selection for distinct molting phenotypes. Here we take advantage of intraspecific variation in the timing and location of molt in the iconic songbird, the Painted Bunting (Passerina ciris) to investigate the genetic and ecological drivers of distinct molting phenotypes. Specifically, we use genome-wide genetic sequencing in combination with stable isotope analysis to determine population genetic structure and molting phenotype across thirteen breeding sites. We then use genome-wide association analysis (GWAS) to identify a suite of genes associated with molting and pair this with gene-environment association analysis (GEA) to investigate potential environmental drivers of genetic variation in this trait. Associations between genetic variation in molt-linked genes and the environment are further tested via targeted SNP genotyping in 25 additional breeding populations across the range. Together, our integrative analysis suggests that molting is in part regulated by genes linked to feather development and structure (GLI2 and CSPG4) and that genetic variation in these genes is associated with seasonal variation in precipitation and aridity. Overall, this work provides important insights into the genetic basis and potential selective forces behind phenotypic variation in what is arguably one of the most important fitness-linked traits in a migratory bird.
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12
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Li J, Sun K, Dai W, Leng H, Feng J. Divergence in interspecific and intersubspecific gene expression between two closely related horseshoe bats ( Rhinolophus). J Mammal 2022. [DOI: 10.1093/jmammal/gyac103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Abstract
Closely related species have been used as representative systems to investigate the genetic mechanisms involved in the early stages of species differentiation. Previous studies have indicated that variation in gene expression might be a sensitive indicator of initial species divergence, although the role of expression divergence, and especially that associated with phenotypic variation remained relatively undefined. For three organs (cochlea, brain, and liver) from two closely related bat species (Rhinolophus siamensis and R. episcopus), the interspecific and intersubspecific gene expression profiles were compared using transcriptomics in this study. Striking organ specificity of expression was observed, and expression profiles exhibited similarities between cochlea and brain tissues. Numerous differentially expressed genes (DEGs) were identified for each organ in the interspecific comparison (cochlea/brain/liver: 1,069/647/692) and intersubspecific comparison (608/528/368). Functional enrichment analysis indicated vital variation in expression related to the immune system, ion activities, neuronal function, and multisensory system regulation in both comparisons. DEGs relevant to the variation in echolocation calls (RF) were found, and some of them were involved in the pivotal patterns of expression variation. The regulation of immune, ion channel, neural activity, and sophisticated sensory functions at the expression level might be key mechanisms in the early species divergence of bats, and the expression variation related to acoustical signal could have played a crucial part. This study expands our knowledge of gene expression and patterns of variation for three key organs to echolocation at both the interspecific and intersubspecific levels. Further, the framework described here provides insight into the genetic basis of phenotypic variation during the incipient stage of species differentiation.
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Affiliation(s)
- Jun Li
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University , Changchun 130117 , China
- Key Laboratory of Vegetation Ecology, Ministry of Education , Changchun 130024 , China
| | - Keping Sun
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University , Changchun 130117 , China
- Key Laboratory of Vegetation Ecology, Ministry of Education , Changchun 130024 , China
| | - Wentao Dai
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University , Changchun 130117 , China
- Key Laboratory of Vegetation Ecology, Ministry of Education , Changchun 130024 , China
| | - Haixia Leng
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University , Changchun 130117 , China
- Key Laboratory of Vegetation Ecology, Ministry of Education , Changchun 130024 , China
| | - Jiang Feng
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University , Changchun 130117 , China
- College of Life Science, Jilin Agricultural University , Changchun 130118 , China
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13
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Gompert Z, Flaxman SM, Feder JL, Chevin LM, Nosil P. Laplace's demon in biology: Models of evolutionary prediction. Evolution 2022; 76:2794-2810. [PMID: 36193839 DOI: 10.1111/evo.14628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 08/23/2022] [Accepted: 08/30/2022] [Indexed: 01/22/2023]
Abstract
Our ability to predict natural phenomena can be limited by incomplete information. This issue is exemplified by "Laplace's demon," an imaginary creature proposed in the 18th century, who knew everything about everything, and thus could predict the full nature of the universe forward or backward in time. Quantum mechanics, among other things, has cast doubt on the possibility of Laplace's demon in the full sense, but the idea still serves as a useful metaphor for thinking about the extent to which prediction is limited by incomplete information on deterministic processes versus random factors. Here, we use simple analytical models and computer simulations to illustrate how data limits can be captured in a Bayesian framework, and how they influence our ability to predict evolution. We show how uncertainty in measurements of natural selection, or low predictability of external environmental factors affecting selection, can greatly reduce predictive power, often swamping the influence of intrinsic randomness caused by genetic drift. Thus, more accurate knowledge concerning the causes and action of natural selection is key to improving prediction. Fortunately, our analyses and simulations show quantitatively that reasonable improvements in data quantity and quality can meaningfully increase predictability.
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Affiliation(s)
| | | | - Jeffrey L Feder
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Luis-Miguel Chevin
- CEFE, Univ Montpellier, Montpellier, France.,CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - Patrik Nosil
- CEFE, Univ Montpellier, Montpellier, France.,CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
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14
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Eliason CM, Hains T, McCullough J, Andersen MJ, Hackett SJ. Genomic novelty within a "great speciator" revealed by a high-quality reference genome of the collared kingfisher (Todiramphus chloris collaris). G3 (BETHESDA, MD.) 2022; 12:jkac260. [PMID: 36156134 PMCID: PMC9635628 DOI: 10.1093/g3journal/jkac260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Islands are natural laboratories for studying patterns and processes of evolution. Research on island endemic birds has revealed elevated speciation rates and rapid phenotypic evolution in several groups (e.g. white-eyes, Darwin's finches). However, understanding the evolutionary processes behind these patterns requires an understanding of how genotypes map to novel phenotypes. To date, there are few high-quality reference genomes for species found on islands. Here, we sequence the genome of one of Ernst Mayr's "great speciators," the collared kingfisher (Todiramphus chloris collaris). Utilizing high molecular weight DNA and linked-read sequencing technology, we assembled a draft high-quality genome with highly contiguous scaffolds (scaffold N50 = 19 Mb). Based on universal single-copy orthologs, we estimated a gene space completeness of 96.6% for the draft genome assembly. The population demographic history analyses reveal a distinct pattern of contraction and expansion in population size throughout the Pleistocene. Comparative genomic analysis of gene family evolution revealed that species-specific and rapidly expanding gene families in the collared kingfisher (relative to other Coraciiformes) are mainly involved in the ErbB signaling pathway and focal adhesion. Todiramphus kingfishers are a species-rich group that has become a focus of speciation research. This draft genome will be a platform for future taxonomic, phylogeographic, and speciation research in the group. For example, target genes will enable testing of changes in sensory structures associated with changes in vision and taste genes across kingfishers.
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Affiliation(s)
- Chad M Eliason
- Grainger Bioinformatics Center, Field Museum of Natural History, Chicago, IL 60605, USA
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL 60605, USA
| | - Taylor Hains
- Department of Ecology and Evolution, Committee on Evolutionary Biology, University of Chicago, Chicago, IL 60637, USA
| | - Jenna McCullough
- Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Michael J Andersen
- Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Shannon J Hackett
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL 60605, USA
- Department of Ecology and Evolution, Committee on Evolutionary Biology, University of Chicago, Chicago, IL 60637, USA
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15
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McNew SM, Loyola DC, Yepez J, Andreadis C, Gotanda K, Saulsberry A, Fessl B. Transcriptomic responses of Galápagos finches to avian poxvirus infection. Mol Ecol 2022; 31:5552-5567. [PMID: 36086992 DOI: 10.1111/mec.16690] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 09/02/2022] [Accepted: 09/07/2022] [Indexed: 12/24/2022]
Abstract
Emerging pathogens can have devastating effects on naïve hosts, but disease outcomes often vary among host species. Comparing the cellular response of different hosts to infection can provide insight into mechanisms of host defence. Here, we used RNA-seq to characterize the transcriptomic response of Darwin's finches to avian poxvirus, a disease of concern in the Galápagos Islands. We tested whether gene expression differs between infected and uninfected birds, and whether transcriptomic differences were related either to known antiviral mechanisms and/or the co-option of the host cellular environment by the virus. We compared two species, the medium ground finch (Geospiza fortis) and the vegetarian finch (Platyspiza crassirostris), to determine whether endemic Galápagos species differ in their response to pox. We found that medium ground finches had a strong transcriptomic response to infection, upregulating genes involved in the innate immune response including interferon production, inflammation, and other immune signalling pathways. In contrast, vegetarian finches had a more limited response, and some changes in this species were consistent with viral manipulation of the host's cellular function and metabolism. Many of the transcriptomic changes mirrored responses documented in model and in vitro studies of poxviruses. Our results thus indicate that many pathways of host defence against poxviruses are conserved among vertebrates and present even in hosts without a long evolutionary history with the virus. At the same time, the differences we observed between closely related species suggests that some endemic species of Galápagos finch could be more susceptible to avian pox than others.
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Affiliation(s)
- Sabrina M McNew
- Cornell Laboratory of Ornithology, Cornell University, Ithaca, New York, USA.,Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | | | - Janaí Yepez
- Charles Darwin Foundation, Santa Cruz, Galápagos, Ecuador
| | - Catherine Andreadis
- Cornell Laboratory of Ornithology, Cornell University, Ithaca, New York, USA
| | - Kiyoko Gotanda
- Department of Biological Sciences, Brock University, St. Catherines, Ontario, Canada.,Department of Zoology, University of Cambridge, Cambridge, UK
| | | | - Birgit Fessl
- Charles Darwin Foundation, Santa Cruz, Galápagos, Ecuador
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16
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Carrión PL, Raeymaekers JAM, De León LF, Chaves JA, Sharpe DMT, Huber SK, Herrel A, Vanhooydonck B, Gotanda KM, Koop JAH, Knutie SA, Clayton DH, Podos J, Hendry AP. The terroir of the finch: How spatial and temporal variation shapes phenotypic traits in DARWIN'S finches. Ecol Evol 2022; 12:e9399. [PMID: 36225827 PMCID: PMC9534727 DOI: 10.1002/ece3.9399] [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: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 11/10/2022] Open
Abstract
The term terroir is used in viticulture to emphasize how the biotic and abiotic characteristics of a local site influence grape physiology and thus the properties of wine. In ecology and evolution, such terroir (i.e., the effect of space or “site”) is expected to play an important role in shaping phenotypic traits. Just how important is the pure spatial effect of terroir (e.g., differences between sites that persist across years) in comparison to temporal variation (e.g., differences between years that persist across sites), and the interaction between space and time (e.g., differences between sites change across years)? We answer this question by analyzing beak and body traits of 4388 medium ground finches (Geospiza fortis) collected across 10 years at three locations in Galápagos. Analyses of variance indicated that phenotypic variation was mostly explained by site for beak size (η2 = 0.42) and body size (η2 = 0.43), with a smaller contribution for beak shape (η2 = 0.05) and body shape (η2 = 0.12), but still higher compared to year and site‐by‐year effects. As such, the effect of terroir seems to be very strong in Darwin's finches, notwithstanding the oft‐emphasized interannual variation. However, these results changed dramatically when we excluded data from Daphne Major, indicating that the strong effect of terroir was mostly driven by that particular population. These phenotypic results were largely paralleled in analyses of environmental variables (rainfall and vegetation indices) expected to shape terroir in this system. These findings affirm the evolutionary importance of terroir, while also revealing its dependence on other factors, such as geographical isolation.
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Affiliation(s)
- Paola L. Carrión
- Redpath Museum, Department of BiologyMcGill UniversityMontréalQuébecCanada
| | | | - Luis Fernando De León
- Department of BiologyUniversity of Massachusetts BostonBostonMassachusettsUSA,Centro de Biodiversidad y Descubrimiento de DrogasInstituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT‐AIP)PanamáRepública de Panamá,Smithsonian Tropical Research InstitutePanamáRepública de Panamá
| | - Jaime A. Chaves
- Department of BiologySan Francisco State UniversitySan FranciscoCaliforniaUSA,Colegio de Ciencias Biológicas y AmbientalesUniversidad San Francisco de QuitoQuitoEcuador
| | - Diana M. T. Sharpe
- Smithsonian Tropical Research InstitutePanamáRepública de Panamá,Worcester State UniversityWorcesterMassachusettsUSA
| | - Sarah K. Huber
- Virginia Institute of Marine ScienceCollege of William & MaryGloucester PointVirginiaUSA
| | - Anthony Herrel
- Muséum National d'Histoire NaturelleDépartement Adaptations du VivantBâtiment d'Anatomie ComparéeParisFrance
| | | | - Kiyoko M. Gotanda
- Department of Biological SciencesBrock UniversitySt. CatharinesOntarioCanada,Departement de BiologieUniversite de SherbrookeQuebecCanada
| | - Jennifer A. H. Koop
- Department of Biological SciencesNorthern Illinois UniversityDeKalbIllinoisUSA
| | - Sarah A. Knutie
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticutUSA,Institute for Systems GenomicsUniversity of ConnecticutStorrsConnecticutUSA
| | - Dale H. Clayton
- School of Biological SciencesUniversity of UtahSalt Lake CityUtahUSA
| | - Jeffrey Podos
- Department of BiologyUniversity of Massachusetts AmherstAmherstMassachusettsUSA
| | - Andrew P. Hendry
- Redpath Museum, Department of BiologyMcGill UniversityMontréalQuébecCanada
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17
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Zacharias M, Pampuch T, Dauphin B, Opgenoorth L, Roland C, Schnittler M, Wilmking M, Bog M, Heer K. Genetic basis of growth reaction to drought stress differs in contrasting high-latitude treeline ecotones of a widespread conifer. Mol Ecol 2022; 31:5165-5181. [PMID: 35951000 DOI: 10.1111/mec.16648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/29/2022] [Accepted: 08/08/2022] [Indexed: 12/15/2022]
Abstract
Climate change is increasing the frequency and intensity of drought events in many boreal forests. Trees are sessile organisms with a long generation time, which makes them vulnerable to fast climate change and hinders fast adaptations. Therefore, it is important to know how forests cope with drought stress and to explore the genetic basis of these reactions. We investigated three natural populations of white spruce (Picea glauca) in Alaska, located at one drought-limited and two cold-limited treelines with a paired plot design of one forest and one treeline plot. We obtained individual increment cores from 458 trees and climate data to assess dendrophenotypes, in particular the growth reaction to drought stress. To explore the genetic basis of these dendrophenotypes, we genotyped the individual trees at 3000 single nucleotide polymorphisms in candidate genes and performed genotype-phenotype association analysis using linear mixed models and Bayesian sparse linear mixed models. Growth reaction to drought stress differed in contrasting treeline populations. Therefore, the populations are likely to be unevenly affected by climate change. We identified 40 genes associated with dendrophenotypic traits that differed among the treeline populations. Most genes were identified in the drought-limited site, indicating comparatively strong selection pressure of drought-tolerant phenotypes. Contrasting patterns of drought-associated genes among sampled sites and in comparison to Canadian populations in a previous study suggest that drought adaptation acts on a local scale. Our results highlight genes that are associated with wood traits which in turn are critical for the establishment and persistence of future forests under climate change.
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Affiliation(s)
- Melanie Zacharias
- Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | - Timo Pampuch
- Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | | | - Lars Opgenoorth
- Plant Ecology and Geobotany, Philipps Universität Marburg, Marburg, Germany
| | - Carl Roland
- Denali National Park and Preserve, Fairbanks, Alaska, USA
| | - Martin Schnittler
- Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | - Martin Wilmking
- Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | - Manuela Bog
- Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | - Katrin Heer
- Forest Genetics, Faculty of Environment and Natural Resources, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
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18
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Campagna L, Toews DP. The genomics of adaptation in birds. Curr Biol 2022; 32:R1173-R1186. [DOI: 10.1016/j.cub.2022.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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19
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Intrinsically disordered BMP4 morphogen and the beak of the finch: Co-option of an ancient axial patterning system. Int J Biol Macromol 2022; 219:366-373. [PMID: 35931296 DOI: 10.1016/j.ijbiomac.2022.07.203] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/25/2022] [Indexed: 12/24/2022]
Abstract
Darwin's finches, with the primary diversity in the shape and size of their beaks, represent an excellent model system to study speciation and adaptive evolution. It is generally held that evolution depends on the natural selection of heritable phenotypic variations originating from the genetic mutations. However, it is now increasingly evident that epigenetic transgenerational inheritance of phenotypic variation can also guide evolutionary change. Several studies have shown that the bone morphogenetic protein BMP4 is a major driver of beak morphology. A recent study explored variability of the morphological, genetic, and epigenetic differences in the adjacent "urban" and "rural" populations of two species of ground Darwin's finches on the Galápagos Islands and revealed significant changes in methylation patterns in several genes including those involved in the BMP/TGFß pathway in the sperm DNA compared to erythrocyte DNA. These observations indicated that epigenetic changes caused by environmental fluctuations can be passed on to the offspring. Nonetheless, the mechanism by which dysregulated expression of BMP4 impacts beak morphology remains poorly understood. Here, we show that BMP4 is an intrinsically disordered protein and present a causal a link between epigenetic changes, BMP4 dysregulation and the evolution of the beak of the finch by natural selection.
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20
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Rubin CJ, Enbody ED, Dobreva MP, Abzhanov A, Davis BW, Lamichhaney S, Pettersson M, Sendell-Price AT, Sprehn CG, Valle CA, Vasco K, Wallerman O, Grant BR, Grant PR, Andersson L. Rapid adaptive radiation of Darwin's finches depends on ancestral genetic modules. SCIENCE ADVANCES 2022; 8:eabm5982. [PMID: 35857449 PMCID: PMC9269886 DOI: 10.1126/sciadv.abm5982] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 05/25/2022] [Indexed: 05/21/2023]
Abstract
Recent adaptive radiations are models for investigating mechanisms contributing to the evolution of biodiversity. An unresolved question is the relative importance of new mutations, ancestral variants, and introgressive hybridization for phenotypic evolution and speciation. Here, we address this issue using Darwin's finches and investigate the genomic architecture underlying their phenotypic diversity. Admixture mapping for beak and body size in the small, medium, and large ground finches revealed 28 loci showing strong genetic differentiation. These loci represent ancestral haplotype blocks with origins predating speciation events during the Darwin's finch radiation. Genes expressed in the developing beak are overrepresented in these genomic regions. Ancestral haplotypes constitute genetic modules for selection and act as key determinants of the unusual phenotypic diversity of Darwin's finches. Such ancestral haplotype blocks can be critical for how species adapt to environmental variability and change.
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Affiliation(s)
- Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Institute of Marine Research, Nordnesgaten 50, 5005 Bergen, Norway
| | - Erik D. Enbody
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Mariya P. Dobreva
- Department of Life Sciences, Imperial College London, Silwood Park Campus, SL5 7PY Ascot, UK
| | - Arhat Abzhanov
- Department of Life Sciences, Imperial College London, Silwood Park Campus, SL5 7PY Ascot, UK
| | - Brian W. Davis
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA
| | | | - Mats Pettersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Ashley T. Sendell-Price
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK
| | - C. Grace Sprehn
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Carlos A. Valle
- Colegio de Ciencias Biológicas y Ambientales, Galápagos Science Center GSC, Universidad San Francisco de Quito USFQ, Quito, Ecuador
| | - Karla Vasco
- Colegio de Ciencias Biológicas y Ambientales, Galápagos Science Center GSC, Universidad San Francisco de Quito USFQ, Quito, Ecuador
| | - Ola Wallerman
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - B. Rosemary Grant
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Peter R. Grant
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Corresponding author.
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21
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Beausoleil M, Camacho C, Rabadán‐González J, Lalla K, Richard R, Carrion‐Avilés P, Hendry AP, Barrett RDH. Where did the finch go? Insights from radio telemetry of the medium ground finch (
Geospiza fortis
). Ecol Evol 2022; 12:e8768. [PMID: 35494501 PMCID: PMC9039628 DOI: 10.1002/ece3.8768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 11/18/2022] Open
Abstract
Movement patterns and habitat selection of animals have important implications for ecology and evolution. Darwin's finches are a classic model system for ecological and evolutionary studies, yet their spatial ecology remains poorly studied. We tagged and radio‐tracked five (three females, two males) medium ground finches (Geospiza fortis) to examine the feasibility of telemetry for understanding their movement and habitat use. Based on 143 locations collected during a 3‐week period, we analyzed for the first time home‐range size and habitat selection patterns of finches at El Garrapatero, an arid coastal ecosystem on Santa Cruz Island (Galápagos). The average 95% home range and 50% core area for G. fortis in the breeding season was 20.54 ha ± 4.04 ha SE and 4.03 ha ± 1.11 ha SE, respectively. For most of the finches, their home range covered a diverse set of habitats. Three finches positively selected the dry‐forest habitat, while the other habitats seemed to be either negatively selected or simply neglected by the finches. In addition, we noted a communal roosting behavior in an area close to the ocean, where the vegetation is greener and denser than the more inland dry‐forest vegetation. We show that telemetry on Darwin's finches provides valuable data to understand the movement ecology of the species. Based on our results, we propose a series of questions about the ecology and evolution of Darwin's finches that can be addressed using telemetry.
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Affiliation(s)
| | - Carlos Camacho
- Department of Biological Conservation and Ecosystem Restoration Instituto Pirenaico de Ecología—CSIC Jaca Spain
- Department of Biology Centre for Animal Movement Research (CAnMove) Lund University Lund Sweden
| | | | - Kristen Lalla
- Department of Natural Resource Sciences McGill University Sainte‐Anne‐de‐Bellevue QC Canada
| | - Roxanne Richard
- Redpath Museum and Department of Biology McGill University Montréal QC Canada
| | | | - Andrew P. Hendry
- Redpath Museum and Department of Biology McGill University Montréal QC Canada
| | - Rowan D. H. Barrett
- Redpath Museum and Department of Biology McGill University Montréal QC Canada
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22
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McFarlane SE, Pemberton JM. Admixture mapping reveals loci for carcass mass in red deer x sika hybrids in Kintyre, Scotland. G3 (BETHESDA, MD.) 2021; 11:jkab274. [PMID: 34568926 PMCID: PMC8473967 DOI: 10.1093/g3journal/jkab274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 07/16/2021] [Indexed: 12/21/2022]
Abstract
We deployed admixture mapping on a sample of 386 deer from a hybrid swarm between native red deer (Cervus elaphus) and introduced Japanese sika (Cervus nippon) sampled in Kintyre, Scotland to search for quantitative trait loci (QTLs) underpinning phenotypic differences between the species. These two species are highly diverged genetically [Fst between pure species, based on 50K single nucleotide polymorphism (SNPs) = 0.532] and phenotypically: pure red have on average twice the carcass mass of pure sika in our sample (38.7 kg vs 19.1 kg). After controlling for sex, age, and population genetic structure, we found 10 autosomal genomic locations with QTL for carcass mass. Effect sizes ranged from 0.191 to 1.839 kg and as expected, in all cases the allele derived from sika conferred lower carcass mass. The sika population was fixed for all small carcass mass alleles, whereas the red deer population was typically polymorphic. GO term analysis of genes lying in the QTL regions are associated with oxygen transport. Although body mass is a likely target of selection, none of the SNPs marking QTL are introgressing faster or slower than expected in either direction.
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Affiliation(s)
- S Eryn McFarlane
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK
- Department of Biology, Lund University, 22100 Lund, Sweden
| | - Josephine M Pemberton
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK
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23
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Abstract
Many species of plants, animals, and microorganisms exchange genes well after the point of evolutionary divergence at which taxonomists recognize them as species. Genomes contain signatures of past gene exchange and, in some cases, they reveal a legacy of lineages that no longer exist. But genomic data are not available for many organisms, and particularly problematic for reconstructing and interpreting evolutionary history are communities that have been depleted by extinctions. For these, morphology may substitute for genes, as exemplified by the history of Darwin's finches on the Galápagos islands of Floreana and San Cristóbal. Darwin and companions collected seven specimens of a uniquely large form of Geospiza magnirostris in 1835. The populations became extinct in the next few decades, partly due to destruction of Opuntia cactus by introduced goats, whereas Geospiza fortis has persisted to the present. We used measurements of large samples of G. fortis collected for museums in the period 1891 to 1906 to test for unusually large variances and skewed distributions of beak and body size resulting from introgression. We found strong evidence of hybridization on Floreana but not on San Cristóbal. The skew is in the direction of the absent G. magnirostris We estimate introgression influenced 6% of the frequency distribution that was eroded by selection after G. magnirostris became extinct on these islands. The genetic residuum of an extinct species in an extant one has implications for its future evolution, as well as for a conservation program of reintroductions in extinction-depleted communities.
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24
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Roberts Kingman GA, Vyas DN, Jones FC, Brady SD, Chen HI, Reid K, Milhaven M, Bertino TS, Aguirre WE, Heins DC, von Hippel FA, Park PJ, Kirch M, Absher DM, Myers RM, Di Palma F, Bell MA, Kingsley DM, Veeramah KR. Predicting future from past: The genomic basis of recurrent and rapid stickleback evolution. SCIENCE ADVANCES 2021; 7:7/25/eabg5285. [PMID: 34144992 PMCID: PMC8213234 DOI: 10.1126/sciadv.abg5285] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/05/2021] [Indexed: 05/30/2023]
Abstract
Similar forms often evolve repeatedly in nature, raising long-standing questions about the underlying mechanisms. Here, we use repeated evolution in stickleback to identify a large set of genomic loci that change recurrently during colonization of freshwater habitats by marine fish. The same loci used repeatedly in extant populations also show rapid allele frequency changes when new freshwater populations are experimentally established from marine ancestors. Marked genotypic and phenotypic changes arise within 5 years, facilitated by standing genetic variation and linkage between adaptive regions. Both the speed and location of changes can be predicted using empirical observations of recurrence in natural populations or fundamental genomic features like allelic age, recombination rates, density of divergent loci, and overlap with mapped traits. A composite model trained on these stickleback features can also predict the location of key evolutionary loci in Darwin's finches, suggesting that similar features are important for evolution across diverse taxa.
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Affiliation(s)
- Garrett A Roberts Kingman
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Deven N Vyas
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Felicity C Jones
- Friedrich Miescher Laboratory of the Max Planck Society, Max-Planck-Ring, Tübingen, Germany
| | - Shannon D Brady
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Heidi I Chen
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Kerry Reid
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Mark Milhaven
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Thomas S Bertino
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Windsor E Aguirre
- Department of Biological Sciences, DePaul University, Chicago, IL 60614-3207, USA
| | - David C Heins
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA 70118, USA
| | - Frank A von Hippel
- Department of Community, Environment and Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA
| | - Peter J Park
- Department of Biology, Farmingdale State College, Farmingdale, NY 11735-1021, USA
| | - Melanie Kirch
- Friedrich Miescher Laboratory of the Max Planck Society, Max-Planck-Ring, Tübingen, Germany
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL 35806, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL 35806, USA
| | - Federica Di Palma
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Michael A Bell
- University of California Museum of Paleontology, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - David M Kingsley
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA.
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25
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Campana MG, Corvelo A, Shelton J, Callicrate TE, Bunting KL, Riley-Gillis B, Wos F, DeGrazia J, Jarvis ED, Fleischer RC. Adaptive Radiation Genomics of Two Ecologically Divergent Hawai'ian Honeycreepers: The 'akiapōlā'au and the Hawai'i 'amakihi. J Hered 2021; 111:21-32. [PMID: 31723957 DOI: 10.1093/jhered/esz057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/30/2019] [Indexed: 12/14/2022] Open
Abstract
The Hawai'ian honeycreepers (drepanids) are a classic example of adaptive radiation: they adapted to a variety of novel dietary niches, evolving a wide range of bill morphologies. Here we investigated genomic diversity, demographic history, and genes involved in bill morphology phenotypes in 2 honeycreepers: the 'akiapōlā'au (Hemignathus wilsoni) and the Hawai'i 'amakihi (Chlorodrepanis virens). The 'akiapōlā'au is an endangered island endemic, filling the "woodpecker" niche by using a unique bill morphology, while the Hawai'i 'amakihi is a dietary generalist common on the islands of Hawai'i and Maui. We de novo sequenced the 'akiapōlā'au genome and compared it to the previously sequenced 'amakihi genome. The 'akiapōlā'au is far less heterozygous and has a smaller effective population size than the 'amakihi, which matches expectations due to its smaller census population and restricted ecological niche. Our investigation revealed genomic islands of divergence, which may be involved in the honeycreeper radiation. Within these islands of divergence, we identified candidate genes (including DLK1, FOXB1, KIF6, MAML3, PHF20, RBP1, and TIMM17A) that may play a role in honeycreeper adaptations. The gene DLK1, previously shown to influence Darwin's finch bill size, may be related to honeycreeper bill morphology evolution, while the functions of the other candidates remain unknown.
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Affiliation(s)
- Michael G Campana
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC
| | | | | | - Taylor E Callicrate
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC.,Species Conservation Toolkit Initiative, Chicago Zoological Society, Brookfield, IL
| | | | | | - Frank Wos
- New York Genome Center, New York, NY
| | | | - Erich D Jarvis
- The Rockefeller University, New York, NY.,Howard Hughes Medical Institute, Chevy Chase, MD
| | - Robert C Fleischer
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC
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26
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Depardieu C, Gérardi S, Nadeau S, Parent GJ, Mackay J, Lenz P, Lamothe M, Girardin MP, Bousquet J, Isabel N. Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer. Mol Ecol 2021; 30:3898-3917. [PMID: 33586257 PMCID: PMC8451828 DOI: 10.1111/mec.15846] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 01/15/2021] [Accepted: 01/27/2021] [Indexed: 01/02/2023]
Abstract
As boreal forests face significant threats from climate change, understanding evolutionary trajectories of coniferous species has become fundamental to adapting management and conservation to a drying climate. We examined the genomic architecture underlying adaptive variation related to drought tolerance in 43 populations of a widespread boreal conifer, white spruce (Piceaglauca [Moench] Voss), by combining genotype–environment associations, genotype–phenotype associations, and transcriptomics. Adaptive genetic variation was identified by correlating allele frequencies for 6,153 single nucleotide polymorphisms from 2,606 candidate genes with temperature, precipitation and aridity gradients, and testing for significant associations between genotypes and 11 dendrometric and drought‐related traits (i.e., anatomical, growth response and climate‐sensitivity traits) using a polygenic model. We identified a set of 285 genes significantly associated with a climatic factor or a phenotypic trait, including 110 that were differentially expressed in response to drought under greenhouse‐controlled conditions. The interlinked phenotype–genotype–environment network revealed eight high‐confidence genes involved in white spruce adaptation to drought, of which four were drought‐responsive in the expression analysis. Our findings represent a significant step toward the characterization of the genomic basis of drought tolerance and adaptation to climate in conifers, which is essential to enable the establishment of resilient forests in view of new climate conditions. see also the Perspective by Lars Opgenoorth and Christian Rellstab
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Affiliation(s)
- Claire Depardieu
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Centre for Forest ResearchDépartement des sciences du bois et de la forêtUniversité LavalQuébecQCCanada
- Natural Resources CanadaCanadian Forest ServiceLaurentian Forestry CenterQuébecQCCanada
| | - Sébastien Gérardi
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Centre for Forest ResearchDépartement des sciences du bois et de la forêtUniversité LavalQuébecQCCanada
| | - Simon Nadeau
- Natural Resources CanadaCanadian Forest ServiceCanadian Wood Fibre CenterQuébecQCCanada
| | - Geneviève J. Parent
- Laboratory of GenomicsMaurice‐Lamontagne Institute, Fisheries and Oceans CanadaMont‐JoliQCCanada
| | - John Mackay
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Department of Plant SciencesUniversity of OxfordOxfordUK
| | - Patrick Lenz
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Natural Resources CanadaCanadian Forest ServiceCanadian Wood Fibre CenterQuébecQCCanada
| | - Manuel Lamothe
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Natural Resources CanadaCanadian Forest ServiceLaurentian Forestry CenterQuébecQCCanada
| | - Martin P. Girardin
- Natural Resources CanadaCanadian Forest ServiceLaurentian Forestry CenterQuébecQCCanada
- Centre for Forest ResearchUniversité du Québec à MontréalMontréalQCCanada
| | - Jean Bousquet
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Centre for Forest ResearchDépartement des sciences du bois et de la forêtUniversité LavalQuébecQCCanada
| | - Nathalie Isabel
- Canada Research Chair in Forest GenomicsInstitute for Systems and Integrative BiologyUniversité LavalQuébecQCCanada
- Centre for Forest ResearchDépartement des sciences du bois et de la forêtUniversité LavalQuébecQCCanada
- Natural Resources CanadaCanadian Forest ServiceLaurentian Forestry CenterQuébecQCCanada
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27
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Cuevas A, Ravinet M, Saetre GP, Eroukhmanoff F. Intraspecific genomic variation and local adaptation in a young hybrid species. Mol Ecol 2021; 30:791-809. [PMID: 33259111 DOI: 10.1111/mec.15760] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 11/02/2020] [Accepted: 11/19/2020] [Indexed: 12/23/2022]
Abstract
Hybridization increases genetic variation, hence hybrid species may have greater evolutionary potential once their admixed genomes have stabilized and incompatibilities have been purged. Yet, little is known about how such hybrid lineages evolve at the genomic level following their formation, in particular their adaptive potential. Here we investigate how the Italian sparrow (Passer italiae), a homoploid hybrid species, has evolved and locally adapted to its variable environment. Using restriction site-associated DNA sequencing (RAD-seq) on several populations across the Italian peninsula, we evaluate how genomic constraints and novel genetic variation have influenced population divergence and adaptation. We show that population divergence within this hybrid species has evolved in response to climatic variation, suggesting ongoing local adaptation. As found previously in other nonhybrid species, climatic differences appear to increase population differentiation. We also report strong population divergence in a gene known to affect beak morphology. Most of the strongly divergent loci among Italian sparrow populations do not seem to be differentiated between its parent species, the house and Spanish sparrows. Unlike in the hybrid, population divergence within each of the parental taxa has occurred mostly at loci with high allele frequency difference between the parental species, suggesting that novel combinations of parental alleles in the hybrid have not necessarily enhanced its evolutionary potential. Rather, our study suggests that constraints linked to incompatibilities may have restricted the evolution of this admixed genome, both during and after hybrid species formation.
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Affiliation(s)
- Angélica Cuevas
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| | - Mark Ravinet
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway.,School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Glenn-Peter Saetre
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| | - Fabrice Eroukhmanoff
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
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28
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Reid BN, Moran RL, Kopack CJ, Fitzpatrick SW. Rapture-ready darters: Choice of reference genome and genotyping method (whole-genome or sequence capture) influence population genomic inference in Etheostoma. Mol Ecol Resour 2020; 21:404-420. [PMID: 33058399 DOI: 10.1111/1755-0998.13275] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/17/2020] [Accepted: 10/01/2020] [Indexed: 11/26/2022]
Abstract
Researchers studying nonmodel organisms have an increasing number of methods available for generating genomic data. However, the applicability of different methods across species, as well as the effect of reference genome choice on population genomic inference, remain difficult to predict in many cases. We evaluated the impact of data type (whole-genome vs. reduced representation) and reference genome choice on data quality and on population genomic and phylogenomic inference across several species of darters (subfamily Etheostomatinae), a highly diverse radiation of freshwater fish. We generated a high-quality reference genome and developed a hybrid RADseq/sequence capture (Rapture) protocol for the Arkansas darter (Etheostoma cragini). Rapture data from 1,900 individuals spanning four darter species showed recovery of most loci across darter species at high depth and consistent estimates of heterozygosity regardless of reference genome choice. Loci with baits spanning both sides of the restriction enzyme cut site performed especially well across species. For low-coverage whole-genome data, choice of reference genome affected read depth and inferred heterozygosity. For similar amounts of sequence data, Rapture performed better at identifying fine-scale genetic structure compared to whole-genome sequencing. Rapture loci also recovered an accurate phylogeny for the study species and demonstrated high phylogenetic informativeness across the evolutionary history of the genus Etheostoma. Low cost and high cross-species effectiveness regardless of reference genome suggest that Rapture and similar sequence capture methods may be worthwhile choices for studies of diverse species radiations.
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Affiliation(s)
- Brendan N Reid
- Kellogg Biological Station, Michigan State University, Hickory Corners, MI, USA
| | - Rachel L Moran
- Department of Evolution, Ecology, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | | | - Sarah W Fitzpatrick
- Kellogg Biological Station, Michigan State University, Hickory Corners, MI, USA.,Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
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29
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The Genomic Landscape of Divergence Across the Speciation Continuum in Island-Colonising Silvereyes ( Zosterops lateralis). G3-GENES GENOMES GENETICS 2020; 10:3147-3163. [PMID: 32660974 PMCID: PMC7466963 DOI: 10.1534/g3.120.401352] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Inferring the evolutionary dynamics at play during the process of speciation by analyzing the genomic landscape of divergence is a major pursuit in population genomics. However, empirical assessments of genomic landscapes under varying evolutionary scenarios that are known a priori are few, thereby limiting our ability to achieve this goal. Here we combine RAD-sequencing and individual-based simulations to evaluate the genomic landscape of divergence in the silvereye (Zosterops lateralis). Using pairwise comparisons that differ in divergence timeframe and the presence or absence of gene flow, we document how genomic patterns accumulate along the speciation continuum. In contrast to previous predictions, our results provide limited support for the idea that divergence accumulates around loci under divergent selection or that genomic islands widen with time. While a small number of genomic islands were found in populations diverging with and without gene flow, in few cases were SNPs putatively under selection tightly associated with genomic islands. The transition from localized to genome-wide levels of divergence was captured using individual-based simulations that considered only neutral processes. Our results challenge the ubiquity of existing verbal models that explain the accumulation of genomic differences across the speciation continuum and instead support the idea that divergence both within and outside of genomic islands is important during the speciation process.
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30
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Moreira LR, Hernandez-Baños BE, Smith BT. Spatial predictors of genomic and phenotypic variation differ in a lowland Middle American bird (Icterus gularis). Mol Ecol 2020; 29:3085-3102. [PMID: 32621770 DOI: 10.1111/mec.15536] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 06/08/2020] [Accepted: 06/24/2020] [Indexed: 12/13/2022]
Abstract
Spatial patterns of intraspecific variation are shaped by geographical distance among populations, historical changes in gene flow and interactions with local environments. Although these factors are not mutually exclusive and operate on both genomic and phenotypic variation, it is unclear how they affect these two axes of variation. We address this question by exploring the predictors of genomic and phenotypic divergence in Icterus gularis, a broadly distributed Middle American bird that exhibits marked geographical variation in body size across its range. We combined a comprehensive single nucleotide polymorphism and phenotypic data set to test whether genome-wide genetic and phenotypic differentiation are best explained by (i) isolation by distance, (ii) isolation by history or (iii) isolation by environment. We find that the pronounced genetic and phenotypic variation in I. gularis are only partially correlated and differ regarding spatial predictors. Whereas genomic variation is largely explained by historical barriers to gene flow, phenotypic diversity can be best predicted by contemporary environmental heterogeneity. Our genomic analyses reveal strong phylogeographical structure coinciding with the Chivela Pass at the Isthmus of Tehuantepec that was formed during the Pleistocene, when populations were isolated in north-south refugia. In contrast, we found a strong association between body size and environmental variables, such as temperature and precipitation. The relationship between body size and local climate is consistent with a pattern produced by either natural selection or environmental plasticity. Overall, these results provide empirical evidence for why phenotypic and genomic data are often in conflict in taxonomic and phylogeographical studies.
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Affiliation(s)
- Lucas R Moreira
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA.,Department of Ornithology, American Museum of Natural History, New York, NY, USA
| | | | - Brian Tilston Smith
- Department of Ornithology, American Museum of Natural History, New York, NY, USA
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31
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Hedrick PW. Galapagos Islands Endemic Vertebrates: A Population Genetics Perspective. J Hered 2020; 110:137-157. [PMID: 30541084 DOI: 10.1093/jhered/esy066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2018] [Indexed: 11/12/2022] Open
Abstract
The organisms of the Galapagos Islands played a central role in the development of the theory of evolution by Charles Darwin. Examination of the population genetics factors of many of these organisms with modern molecular methods has expanded our understanding of their evolution. Here, I provide a perspective on how selection, gene flow, genetic drift, mutation, and inbreeding have contributed to the evolution of 6 iconic Galapagos species: flightless cormorant, pink iguana, marine iguana, Galapagos hawk, giant tortoises, and Darwin's finches. Because of the inherent biological differences among these species that have colonized the Galapagos, different population genetic factors appear to be more or less important in these different species. For example, the Galapagos provided novel environments in which strong selection took place and the Darwin's finches diversified to produce new species and the cormorant adapted to the nutrient-rich western shores of the Galapagos by losing its ability to fly and genomic data have now identified candidate genes. In both the pink iguana, which exists in one small population, and the Galapagos hawk, which has small population sizes, genetic drift has been potentially quite important. There appears to be very limited interisland gene flow in the flightless cormorant and the Galapagos hawk. On the other hand, both the marine iguana and some of the Darwin's finches appear to have significant interisland gene flow. Hybridization between species and subspecies has also introduced new adaptive variation, and in some cases, hybridization might have resulted in despeciation. Overall, new population genetics and genomics research has provided additional insight into the evolution of vertebrate species in the Galapagos.
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32
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Gillespie RG, Bennett GM, De Meester L, Feder JL, Fleischer RC, Harmon LJ, Hendry AP, Knope ML, Mallet J, Martin C, Parent CE, Patton AH, Pfennig KS, Rubinoff D, Schluter D, Seehausen O, Shaw KL, Stacy E, Stervander M, Stroud JT, Wagner C, Wogan GOU. Comparing Adaptive Radiations Across Space, Time, and Taxa. J Hered 2020; 111:1-20. [PMID: 31958131 PMCID: PMC7931853 DOI: 10.1093/jhered/esz064] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 10/28/2019] [Indexed: 01/02/2023] Open
Abstract
Adaptive radiation plays a fundamental role in our understanding of the evolutionary process. However, the concept has provoked strong and differing opinions concerning its definition and nature among researchers studying a wide diversity of systems. Here, we take a broad view of what constitutes an adaptive radiation, and seek to find commonalities among disparate examples, ranging from plants to invertebrate and vertebrate animals, and remote islands to lakes and continents, to better understand processes shared across adaptive radiations. We surveyed many groups to evaluate factors considered important in a large variety of species radiations. In each of these studies, ecological opportunity of some form is identified as a prerequisite for adaptive radiation. However, evolvability, which can be enhanced by hybridization between distantly related species, may play a role in seeding entire radiations. Within radiations, the processes that lead to speciation depend largely on (1) whether the primary drivers of ecological shifts are (a) external to the membership of the radiation itself (mostly divergent or disruptive ecological selection) or (b) due to competition within the radiation membership (interactions among members) subsequent to reproductive isolation in similar environments, and (2) the extent and timing of admixture. These differences translate into different patterns of species accumulation and subsequent patterns of diversity across an adaptive radiation. Adaptive radiations occur in an extraordinary diversity of different ways, and continue to provide rich data for a better understanding of the diversification of life.
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Affiliation(s)
- Rosemary G Gillespie
- University of California, Berkeley, Essig Museum of Entomology & Department of Environmental Science, Policy, and Management, Berkeley, CA
| | - Gordon M Bennett
- University of California Merced, Life and Environmental Sciences Unit, Merced, CA
| | - Luc De Meester
- University of Leuven, Laboratory of Aquatic Ecology, Evolution and Conservation, Leuven, Belguim
| | - Jeffrey L Feder
- University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN
| | - Robert C Fleischer
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC
| | - Luke J Harmon
- University of Idaho, Dept. of Biological Sciences, Moscow, ID
| | | | | | | | - Christopher Martin
- University of California Berkeley, Integrative Biology and Museum of Vertebrate Zoology, Berkeley, CA
| | | | - Austin H Patton
- Washington State University, School of Biological Sciences, Pullman, WA
| | - Karin S Pfennig
- University of North Carolina at Chapel Hill, Department of Biology, Chapel Hill, NC
| | - Daniel Rubinoff
- University of Hawaiʻi at Manoa, Department of Plant and Environmental Protection Sciences, Honolulu, HI
| | | | - Ole Seehausen
- Institute of Ecology & Evolution, University of Bern, Bern, BE, Switzerland
- Center for Ecology, Evolution & Biogeochemistry, Eawag, Kastanienbaum, LU, Switzerland
| | - Kerry L Shaw
- Cornell University, Neurobiology and Behavior, Tower Road,, Ithaca, NY
| | - Elizabeth Stacy
- University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV
| | - Martin Stervander
- University of Oregon, Institute of Ecology and Evolution, Eugene, OR
| | - James T Stroud
- Washington University in Saint Louis, Biology, Saint Louis, MO
| | | | - Guinevere O U Wogan
- University of California Berkeley, Environmental Science Policy, and Management, Berkeley, CA
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33
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HMGA Genes and Proteins in Development and Evolution. Int J Mol Sci 2020; 21:ijms21020654. [PMID: 31963852 PMCID: PMC7013770 DOI: 10.3390/ijms21020654] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 01/14/2020] [Accepted: 01/16/2020] [Indexed: 12/16/2022] Open
Abstract
HMGA (high mobility group A) (HMGA1 and HMGA2) are small non-histone proteins that can bind DNA and modify chromatin state, thus modulating the accessibility of regulatory factors to the DNA and contributing to the overall panorama of gene expression tuning. In general, they are abundantly expressed during embryogenesis, but are downregulated in the adult differentiated tissues. In the present review, we summarize some aspects of their role during development, also dealing with relevant studies that have shed light on their functioning in cell biology and with emerging possible involvement of HMGA1 and HMGA2 in evolutionary biology.
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Aguilar C, Miller MJ, Loaiza JR, González R, Krahe R, De León LF. Tempo and mode of allopatric divergence in the weakly electric fish Sternopygus dariensis in the Isthmus of Panama. Sci Rep 2019; 9:18828. [PMID: 31827183 PMCID: PMC6906317 DOI: 10.1038/s41598-019-55336-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 11/27/2019] [Indexed: 01/12/2023] Open
Abstract
Spatial isolation is one of the main drivers of allopatric speciation, but the extent to which spatially-segregated populations accumulate genetic differences relevant to speciation is not always clear. We used data from ultraconserved elements (UCEs) and whole mitochondrial genomes (i.e., mitogenomes) to explore genetic variation among allopatric populations of the weakly electric fish Sternopygus dariensis across the Isthmus of Panama. We found strong genetic divergence between eastern and western populations of S. dariensis. Over 77% of the UCE loci examined were differentially fixed between populations, and these loci appear to be distributed across the species' genome. Population divergence occurred within the last 1.1 million years, perhaps due to global glaciation oscillations during the Pleistocene. Our results are consistent with a pattern of genetic differentiation under strict geographic isolation, and suggest the presence of incipient allopatric species within S. dariensis. Genetic divergence in S. dariensis likely occurred in situ, long after the closure of the Isthmus of Panama. Our study highlights the contribution of spatial isolation and vicariance to promoting rapid diversification in Neotropical freshwater fishes. The study of spatially-segregated populations within the Isthmus of Panama could reveal how genetic differences accumulate as allopatric speciation proceeds.
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Affiliation(s)
- Celestino Aguilar
- Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), P. O. Box 0843-01103, Panamá, República de Panamá
- Department of Biotechnology, Acharya Nagarjuna University, Guntur, India
- Smithsonian Tropical Research Institute, Balboa Ancón, P.O. Box 0843-03092, Panamá, República de Panamá
- Department of Biology, University of Massachusetts Boston, Boston, MA, USA
| | - Matthew J Miller
- Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), P. O. Box 0843-01103, Panamá, República de Panamá
- Sam Noble Oklahoma Museum of Natural History and Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Jose R Loaiza
- Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), P. O. Box 0843-01103, Panamá, República de Panamá
- Smithsonian Tropical Research Institute, Balboa Ancón, P.O. Box 0843-03092, Panamá, República de Panamá
- Programa Centroamericano de Maestría en Entomología, Universidad de Panamá, Panamá, República de Panamá
| | - Rigoberto González
- Smithsonian Tropical Research Institute, Balboa Ancón, P.O. Box 0843-03092, Panamá, República de Panamá
| | - Rüdiger Krahe
- Institut für Biologie, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Biology, McGill University, Montreal, QC, Canada
| | - Luis F De León
- Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), P. O. Box 0843-01103, Panamá, República de Panamá.
- Smithsonian Tropical Research Institute, Balboa Ancón, P.O. Box 0843-03092, Panamá, República de Panamá.
- Department of Biology, University of Massachusetts Boston, Boston, MA, USA.
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35
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Host phylogeny, diet, and habitat differentiate the gut microbiomes of Darwin's finches on Santa Cruz Island. Sci Rep 2019; 9:18781. [PMID: 31827126 PMCID: PMC6906294 DOI: 10.1038/s41598-019-54869-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/18/2019] [Indexed: 12/18/2022] Open
Abstract
Darwin's finches are an iconic example of an adaptive radiation with well-characterized evolutionary history, dietary preferences, and biogeography, offering an unparalleled opportunity to disentangle effects of evolutionary history on host microbiome from other factors like diet and habitat. Here, we characterize the gut microbiome in Darwin's finches, comparing nine species that occupy diverse ecological niches on Santa Cruz island. The finch phylogeny showed moderate congruence with the microbiome, which was comprised mostly of the bacterial phyla Firmicutes, Actinobacteria, and Proteobacteria. Diet, as measured with stable isotope values and foraging observations, also correlated with microbiome differentiation. Additionally, each gut microbial community could easily be classified by the habitat of origin independent of host species. Altogether, these findings are consistent with a model of microbiome assembly in which environmental filtering via diet and habitat are primary determinants of the bacterial taxa present with lesser influence from the evolutionary history between finch species.
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Beausoleil MO, Frishkoff LO, M'Gonigle LK, Raeymaekers JAM, Knutie SA, De León LF, Huber SK, Chaves JA, Clayton DH, Koop JAH, Podos J, Sharpe DMT, Hendry AP, Barrett RDH. Temporally varying disruptive selection in the medium ground finch ( Geospiza fortis). Proc Biol Sci 2019; 286:20192290. [PMID: 31795872 DOI: 10.1098/rspb.2019.2290] [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] [Indexed: 11/12/2022] Open
Abstract
Disruptive natural selection within populations exploiting different resources is considered to be a major driver of adaptive radiation and the production of biodiversity. Fitness functions, which describe the relationships between trait variation and fitness, can help to illuminate how this disruptive selection leads to population differentiation. However, a single fitness function represents only a particular selection regime over a single specified time period (often a single season or a year), and therefore might not capture longer-term dynamics. Here, we build a series of annual fitness functions that quantify the relationships between phenotype and apparent survival. These functions are based on a 9-year mark-recapture dataset of over 600 medium ground finches (Geospiza fortis) within a population bimodal for beak size. We then relate changes in the shape of these functions to climate variables. We find that disruptive selection between small and large beak morphotypes, as reported previously for 2 years, is present throughout the study period, but that the intensity of this selection varies in association with the harshness of environment. In particular, we find that disruptive selection was strongest when precipitation was high during the dry season of the previous year. Our results shed light on climatic factors associated with disruptive selection in Darwin's finches, and highlight the role of temporally varying fitness functions in modulating the extent of population differentiation.
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Affiliation(s)
- Marc-Olivier Beausoleil
- Department of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4
| | - Luke O Frishkoff
- Department of Biology, University of Texas at Arlington, Arlington, TX, USA
| | - Leithen K M'Gonigle
- Department of Biological Sciences, Simon Fraser University, Burnaby BC V5A 1S6, Canada
| | | | - Sarah A Knutie
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Luis F De León
- Department of Biology, University of Massachusetts Boston, Boston, MA, USA.,Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, Panama
| | - Sarah K Huber
- Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA, USA
| | - Jaime A Chaves
- Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Pichincha, Ecuador.,Galápagos Science Center, Puerto Baquerizo Moreno, Galápagos, Ecuador
| | - Dale H Clayton
- School of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, 84112 UT, USA
| | - Jennifer A H Koop
- Department of Biological Sciences, Northern Illinois University, 1425 W. Lincoln Hwy., DeKalb, IL 60115, USA
| | - Jeffrey Podos
- Department of Biology, University of Massachusetts, 221 Morrill Science Center, Amherst, MA, USA
| | - Diana M T Sharpe
- Department of Biology, University of Massachusetts Boston, Boston, MA, USA
| | - Andrew P Hendry
- Department of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4
| | - Rowan D H Barrett
- Department of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4
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37
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Hybridization increases population variation during adaptive radiation. Proc Natl Acad Sci U S A 2019; 116:23216-23224. [PMID: 31659024 DOI: 10.1073/pnas.1913534116] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Adaptive radiations are prominent components of the world's biodiversity. They comprise many species derived from one or a small number of ancestral species in a geologically short time that have diversified into a variety of ecological niches. Several authors have proposed that introgressive hybridization has been important in the generation of new morphologies and even new species, but how that happens throughout evolutionary history is not known. Interspecific gene exchange is expected to have greatest impact on variation if it occurs after species have diverged genetically and phenotypically but before genetic incompatibilities arise. We use a dated phylogeny to infer that populations of Darwin's finches in the Galápagos became more variable in morphological traits through time, consistent with the hybridization hypothesis, and then declined in variation after reaching a peak. Some species vary substantially more than others. Phylogenetic inferences of hybridization are supported by field observations of contemporary hybridization. Morphological effects of hybridization have been investigated on the small island of Daphne Major by documenting changes in hybridizing populations of Geospiza fortis and Geospiza scandens over a 30-y period. G. scandens showed more evidence of admixture than G. fortis Beaks of G. scandens became progressively blunter, and while variation in length increased, variation in depth decreased. These changes imply independent effects of introgression on 2, genetically correlated, beak dimensions. Our study shows how introgressive hybridization can alter ecologically important traits, increase morphological variation as a radiation proceeds, and enhance the potential for future evolution in changing environments.
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38
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Bresadola L, Caseys C, Castiglione S, Buerkle CA, Wegmann D, Lexer C. Admixture mapping in interspecific Populus hybrids identifies classes of genomic architectures for phytochemical, morphological and growth traits. THE NEW PHYTOLOGIST 2019; 223:2076-2089. [PMID: 31104343 PMCID: PMC6771622 DOI: 10.1111/nph.15930] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Accepted: 05/06/2019] [Indexed: 05/03/2023]
Abstract
The genomic architecture of functionally important traits is key to understanding the maintenance of reproductive barriers and trait differences when divergent populations or species hybridize. We conducted a genome-wide association study (GWAS) to study trait architecture in natural hybrids of two ecologically divergent Populus species. We genotyped 472 seedlings from a natural hybrid zone of Populus alba and Populus tremula for genome-wide markers from reduced representation sequencing, phenotyped the plants in common gardens for 46 phytochemical (phenylpropanoid), morphological and growth traits, and used a Bayesian polygenic model for mapping. We detected three classes of genomic architectures: traits with finite, detectable associations of genetic loci with phenotypic variation in addition to highly polygenic heritability; traits with indications for polygenic heritability only; and traits with no detectable heritability. For the first class, we identified genome regions with plausible candidate genes for phenylpropanoid biosynthesis or its regulation, including MYB transcription factors and glycosyl transferases. GWAS in natural, recombinant hybrids represent a promising step towards resolving the genomic architecture of phenotypic traits in long-lived species. This facilitates the fine-mapping and subsequent functional characterization of genes and networks causing differences in hybrid performance and fitness.
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Affiliation(s)
- Luisa Bresadola
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
| | - Céline Caseys
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Department of Plant SciencesUniversity of California DavisOne Shields AvenueDavisCA95616USA
| | - Stefano Castiglione
- Department of Chemistry and Biology ‘A. Zambelli’University of SalernoVia Giovanni Paolo II 13284084Fisciano, SalernoItaly
| | - C. Alex Buerkle
- Department of BotanyUniversity of Wyoming1000 E. University Ave.LaramieWY82071USA
| | - Daniel Wegmann
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Swiss Institute of Bioinformatics1700FribourgSwitzerland
| | - Christian Lexer
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Department of Botany and Biodiversity ResearchFaculty of Life SciencesUniversity of ViennaRennweg 12A‐1030ViennaAustria
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39
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Billerman SM, Walsh J. Historical DNA as a tool to address key questions in avian biology and evolution: A review of methods, challenges, applications, and future directions. Mol Ecol Resour 2019; 19:1115-1130. [PMID: 31336408 DOI: 10.1111/1755-0998.13066] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 07/08/2019] [Accepted: 07/10/2019] [Indexed: 11/30/2022]
Abstract
Museum specimens play a crucial role in addressing key questions in systematics, evolution, ecology, and conservation. With the advent of high-throughput sequencing technologies, specimens that have long been the foundation of important biological discoveries can inform new perspectives as sources of genomic data. Despite the many possibilities associated with analyzing DNA from historical specimens, several challenges persist. Using avian systems as a model, we review DNA extraction protocols, sequencing technologies, and capture methods that are helping researchers overcome some of these difficulties. We highlight empirical examples in which researchers have used these technologies to address fundamental questions related to avian conservation and evolution. Increasing accessibility to new sequencing technologies will provide researchers with tools to tap into the wealth of information contained within our valuable natural history collections.
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Affiliation(s)
- Shawn M Billerman
- Fuller Evolutionary Biology Program, Cornell Laboratory of Ornithology, Cornell University, Ithaca, NY, USA.,Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Jennifer Walsh
- Fuller Evolutionary Biology Program, Cornell Laboratory of Ornithology, Cornell University, Ithaca, NY, USA.,Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
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40
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Locke AE, Steinberg KM, Chiang CWK, Service SK, Havulinna AS, Stell L, Pirinen M, Abel HJ, Chiang CC, Fulton RS, Jackson AU, Kang CJ, Kanchi KL, Koboldt DC, Larson DE, Nelson J, Nicholas TJ, Pietilä A, Ramensky V, Ray D, Scott LJ, Stringham HM, Vangipurapu J, Welch R, Yajnik P, Yin X, Eriksson JG, Ala-Korpela M, Järvelin MR, Männikkö M, Laivuori H, Dutcher SK, Stitziel NO, Wilson RK, Hall IM, Sabatti C, Palotie A, Salomaa V, Laakso M, Ripatti S, Boehnke M, Freimer NB. Exome sequencing of Finnish isolates enhances rare-variant association power. Nature 2019; 572:323-328. [PMID: 31367044 PMCID: PMC6697530 DOI: 10.1038/s41586-019-1457-z] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 07/02/2019] [Indexed: 12/30/2022]
Abstract
Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of rare coding variants in clinically relevant quantitative cardiometabolic traits. Exome-wide association studies for 64 quantitative traits identified 26 newly associated deleterious alleles. Of these 26 alleles, 19 are either unique to or more than 20 times more frequent in Finnish individuals than in other Europeans and show geographical clustering comparable to Mendelian disease mutations that are characteristic of the Finnish population. We estimate that sequencing studies of populations without this unique history would require hundreds of thousands to millions of participants to achieve comparable association power.
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Affiliation(s)
- Adam E Locke
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karyn Meltz Steinberg
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA
| | - Charleston W K Chiang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Susan K Service
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Laurel Stell
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Helsinki Institute for Information Technology HIIT and Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Haley J Abel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Colby C Chiang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Robert S Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Krishna L Kanchi
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel C Koboldt
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - David E Larson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Joanne Nelson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Thomas J Nicholas
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- USTAR Center for Genetic Discovery and Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Arto Pietilä
- National Institute for Health and Welfare, Helsinki, Finland
| | - Vasily Ramensky
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Federal State Institution "National Medical Research Center for Preventive Medicine" of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | - Debashree Ray
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Departments of Epidemiology and Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Laura J Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Heather M Stringham
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ryan Welch
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pranav Yajnik
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Xianyong Yin
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Johan G Eriksson
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mika Ala-Korpela
- Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, Victoria, Australia
| | - Marjo-Riitta Järvelin
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Minna Männikkö
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Northern Finland Birth Cohorts, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Obstetrics and Gynecology, Tampere University Hospital and University of Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Susan K Dutcher
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Nathan O Stitziel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Ira M Hall
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytical and Translational Genetics Unit (ATGU), Psychiatric & Neurodevelopmental Genetics Unit, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
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41
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De León LF, Sharpe DMT, Gotanda KM, Raeymaekers JAM, Chaves JA, Hendry AP, Podos J. Urbanization erodes niche segregation in Darwin's finches. Evol Appl 2019; 12:1329-1343. [PMID: 31417618 PMCID: PMC6691225 DOI: 10.1111/eva.12721] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 01/04/2023] Open
Abstract
Urbanization is influencing patterns of biological evolution in ways that are only beginning to be explored. One potential effect of urbanization is in modifying ecological resource distributions that underlie niche differences and that thus promote and maintain species diversification. Few studies have assessed such modifications, or their potential evolutionary consequences, in the context of ongoing adaptive radiation. We study this effect in Darwin's finches on the Galápagos Islands, by quantifying feeding preferences and diet niche partitioning across sites with different degrees of urbanization. We found higher finch density in urban sites and that feeding preferences and diets at urban sites skew heavily toward human food items. Furthermore, we show that finches at urban sites appear to be accustomed to the presence of people, compared with birds at sites with few people. In addition, we found that human behavior via the tendency to feed birds at non-urban but tourist sites is likely an important driver of finch preferences for human foods. Site differences in diet and feeding behavior have resulted in larger niche breadth within finch species and wider niche overlap between species at the urban sites. Both factors effectively minimize niche differences that would otherwise facilitate interspecies coexistence. These findings suggest that both human behavior and ongoing urbanization in Galápagos are starting to erode ecological differences that promote and maintain adaptive radiation in Darwin's finches. Smoothing of adaptive landscapes underlying diversification represents a potentially important yet underappreciated consequence of urbanization. Overall, our findings accentuate the fragility of the initial stages of adaptive radiation in Darwin's finches and raise concerns about the fate of the Galápagos ecosystems in the face of increasing urbanization.
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Affiliation(s)
- Luis F. De León
- Department of BiologyUniversity of Massachusetts BostonBostonMassachusetts
- Centro de Biodiversidad y Descubrimiento de DrogasInstituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT‐AIP)Panamá CityPanamá
| | - Diana M. T. Sharpe
- Redpath Museum, Department of BiologyMcGill UniversityMontréalQuebecCanada
| | - Kiyoko M. Gotanda
- Redpath Museum, Department of BiologyMcGill UniversityMontréalQuebecCanada
- Department of ZoologyUniversity of CambridgeCambridgeUK
| | - Joost A. M. Raeymaekers
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and TechnologyTrondheimNorway
- Laboratory of Biodiversity and Evolutionary GenomicsUniversity of LeuvenLeuvenBelgium
| | - Jaime A. Chaves
- Colegio de Ciencias Biológicas y AmbientalesUniversidad San Francisco de Quito, Diego de Robles y PampiteQuitoEcuador
- Galápagos Science CenterPuerto Baquerizo MorenoGalápagosEcuador
| | - Andrew P. Hendry
- Redpath Museum, Department of BiologyMcGill UniversityMontréalQuebecCanada
| | - Jeffrey Podos
- Department of BiologyUniversity of Massachusetts AmherstAmherstMassachusetts
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42
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Brennan RS, Healy TM, Bryant HJ, La MV, Schulte PM, Whitehead A. Integrative Population and Physiological Genomics Reveals Mechanisms of Adaptation in Killifish. Mol Biol Evol 2019; 35:2639-2653. [PMID: 30102365 DOI: 10.1093/molbev/msy154] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Adaptive divergence between marine and freshwater (FW) environments is important in generating phyletic diversity within fishes, but the genetic basis of this process remains poorly understood. Genome selection scans can identify adaptive loci, but incomplete knowledge of genotype-phenotype connections makes interpreting their significance difficult. In contrast, association mapping (genome-wide association mapping [GWAS], random forest [RF] analyses) links genotype to phenotype, but offer limited insight into the evolutionary forces shaping variation. Here, we combined GWAS, RF, and selection scans to identify loci important in adaptation to FW environments. We utilized FW-native and brackish water (BW)-native populations of Atlantic killifish (Fundulus heteroclitus) as well as a naturally admixed population between the two. We measured morphology and multiple physiological traits that differ between populations and may contribute to osmotic adaptation (salinity tolerance, hypoxia tolerance, metabolic rate, body shape) and used a reduced representation approach for genome-wide genotyping. Our results show patterns of population divergence in physiological capabilities that are consistent with local adaptation. Population genomic scans between BW-native and FW-native populations identified genomic regions evolving by natural selection, whereas association mapping revealed loci that contribute to variation for each trait. There was substantial overlap in the genomic regions putatively under selection and loci associated with phenotypic traits, particularly for salinity tolerance, suggesting that these regions and genes are important for adaptive divergence between BW and FW environments. Together, these data provide insight into the mechanisms that enable diversification of fishes across osmotic boundaries.
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Affiliation(s)
- Reid S Brennan
- Department of Environmental Toxicology, University of California-Davis, Davis, CA.,Department of Biology, University of Vermont, Burlington, VT
| | - Timothy M Healy
- Department of Zoology, The University of British Columbia, Vancouver, BC, Canada.,Marine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, CA
| | - Heather J Bryant
- Department of Zoology, The University of British Columbia, Vancouver, BC, Canada
| | - Man Van La
- Department of Environmental Toxicology, University of California-Davis, Davis, CA
| | - Patricia M Schulte
- Department of Zoology, The University of British Columbia, Vancouver, BC, Canada
| | - Andrew Whitehead
- Department of Environmental Toxicology, University of California-Davis, Davis, CA
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43
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Mundy NI. Population genomics fits the bill: genetics of adaptive beak variation in Darwin's finches. Mol Ecol 2019; 25:5265-5266. [PMID: 27785886 DOI: 10.1111/mec.13868] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 09/14/2016] [Accepted: 09/14/2016] [Indexed: 11/28/2022]
Abstract
Darwin's finches are an iconic case of adaptive radiation. The size and shape of their beaks are key adaptive traits related to trophic niche that vary among species and evolve rapidly when the food supply changes. Building on recent studies, a paper in this issue of Molecular Ecology (Chaves et al. ) investigates the genomic basis of beak size variation in sympatric populations of three species of ground finch (Geospiza) by performing a Genome-wide association study using RAD-seq data. The authors find that variation in a small number of markers can explain a substantial proportion of variation in beak size. Some of these markers are in genomic regions that have previously been implicated in beak size variation in Darwin's finches, whereas other markers have not, suggesting both conservation and divergence in the genetic basis of morphological evolution. Overall, the study confirms that loci of large effect are involved in beak size variation, which helps to explain the high heritability and rapid response to selection of this trait. The independent identification of regions containing HMGA2 and DLK1 loci in a GWAS makes them prime targets for functional studies. The study also shows that under the right conditions, RAD-seq can be a viable alternative to genome sequencing for GWAS in wild vertebrate populations.
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Affiliation(s)
- Nicholas I Mundy
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK.
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44
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DeSaix MG, Bulluck LP, Eckert AJ, Viverette CB, Boves TJ, Reese JA, Tonra CM, Dyer RJ. Population assignment reveals low migratory connectivity in a weakly structured songbird. Mol Ecol 2019; 28:2122-2135. [DOI: 10.1111/mec.15083] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 03/14/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Matthew G. DeSaix
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
| | - Lesley P. Bulluck
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | - Andrew J. Eckert
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | | | - Than J. Boves
- Arkansas Department of Biological Sciences Arkansas State University Jonesboro Arkansas
| | - Jessica A. Reese
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | - Christopher M. Tonra
- School of Environmental and Natural Resources The Ohio State University Columbus Ohio
| | - Rodney J. Dyer
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
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45
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Knutie SA, Chaves JA, Gotanda KM. Human activity can influence the gut microbiota of Darwin's finches in the Galapagos Islands. Mol Ecol 2019; 28:2441-2450. [DOI: 10.1111/mec.15088] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 03/21/2019] [Accepted: 03/22/2019] [Indexed: 12/25/2022]
Affiliation(s)
- Sarah A. Knutie
- Department of Ecology and Evolutionary Biology University of Connecticut Storrs Connecticut
| | - Jaime A. Chaves
- Colegio de Ciencias Biológicas y Ambientales Universidad San Francisco de Quito Cumbayá Quito Ecuador
- Galápagos Science Center Puerto Baquerizo Moreno Ecuador
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46
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Pfeifer SP, Laurent S, Sousa VC, Linnen CR, Foll M, Excoffier L, Hoekstra HE, Jensen JD. The Evolutionary History of Nebraska Deer Mice: Local Adaptation in the Face of Strong Gene Flow. Mol Biol Evol 2019; 35:792-806. [PMID: 29346646 PMCID: PMC5905656 DOI: 10.1093/molbev/msy004] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The interplay of gene flow, genetic drift, and local selective pressure is a dynamic process that has been well studied from a theoretical perspective over the last century. Wright and Haldane laid the foundation for expectations under an island-continent model, demonstrating that an island-specific beneficial allele may be maintained locally if the selection coefficient is larger than the rate of migration of the ancestral allele from the continent. Subsequent extensions of this model have provided considerably more insight. Yet, connecting theoretical results with empirical data has proven challenging, owing to a lack of information on the relationship between genotype, phenotype, and fitness. Here, we examine the demographic and selective history of deer mice in and around the Nebraska Sand Hills, a system in which variation at the Agouti locus affects cryptic coloration that in turn affects the survival of mice in their local habitat. We first genotyped 250 individuals from 11 sites along a transect spanning the Sand Hills at 660,000 single nucleotide polymorphisms across the genome. Using these genomic data, we found that deer mice first colonized the Sand Hills following the last glacial period. Subsequent high rates of gene flow have served to homogenize the majority of the genome between populations on and off the Sand Hills, with the exception of the Agouti pigmentation locus. Furthermore, mutations at this locus are strongly associated with the pigment traits that are strongly correlated with local soil coloration and thus responsible for cryptic coloration.
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Affiliation(s)
- Susanne P Pfeifer
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ
| | - Stefan Laurent
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Vitor C Sousa
- Institute of Ecology & Evolution, University of Berne, Berne, Switzerland.,Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | | | - Matthieu Foll
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Laurent Excoffier
- Institute of Ecology & Evolution, University of Berne, Berne, Switzerland
| | - Hopi E Hoekstra
- Department of Organismic & Evolutionary Biology and Molecular & Cellular Biology, Museum of Comparative Zoology, Howard Hughes Medical Institute, Harvard University, Cambridge, MA
| | - Jeffrey D Jensen
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ
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47
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Johnsson M. Integrating Selection Mapping With Genetic Mapping and Functional Genomics. Front Genet 2018; 9:603. [PMID: 30619447 PMCID: PMC6295561 DOI: 10.3389/fgene.2018.00603] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 11/19/2018] [Indexed: 01/23/2023] Open
Abstract
Genomic scans for signatures of selection allow us to, in principle, detect variants and genes that underlie recent adaptations. By combining selection mapping with genetic mapping of traits known to be relevant to adaptation, we can simultaneously investigate whether genes and variants show signals of recent selection and whether they impact traits that have likely been selected. There are three ways to integrate selection mapping with genetic mapping or functional genomics: (1) To use genetic mapping data from other populations as a form of genome annotation. (2) To perform experimental evolution or artificial selection to be able to study selected variants when they segregate, either by performing genetic mapping before selection or by crossing the selected individuals to some reference population. (3) To perform a comparative study of related populations facing different selection regimes. This short review discusses these different ways of integrating selection mapping with genetic mapping and functional genomics, with examples of how each has been done.
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Affiliation(s)
- Martin Johnsson
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom.,Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
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48
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Zink RM, Vázquez-Miranda H. Species Limits and Phylogenomic Relationships of Darwin’s Finches Remain Unresolved: Potential Consequences of a Volatile Ecological Setting. Syst Biol 2018; 68:347-357. [DOI: 10.1093/sysbio/syy073] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Accepted: 10/25/2018] [Indexed: 12/21/2022] Open
Affiliation(s)
- Robert M Zink
- School of Natural Resources
- School of Biological Sciences
- Nebraska State Museum, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Hernán Vázquez-Miranda
- School of Natural Resources
- Nebraska State Museum, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
- Colección Nacional de Aves (CNAV), Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad de México, C.P. 04500, Mexico
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49
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Rapid niche expansion by selection on functional genomic variation after ecosystem recovery. Nat Ecol Evol 2018; 3:77-86. [DOI: 10.1038/s41559-018-0742-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 11/02/2018] [Indexed: 11/08/2022]
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50
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Lundregan SL, Hagen IJ, Gohli J, Niskanen AK, Kemppainen P, Ringsby TH, Kvalnes T, Pärn H, Rønning B, Holand H, Ranke PS, Båtnes AS, Selvik LK, Lien S, Saether BE, Husby A, Jensen H. Inferences of genetic architecture of bill morphology in house sparrow using a high-density SNP array point to a polygenic basis. Mol Ecol 2018; 27:3498-3514. [DOI: 10.1111/mec.14811] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 06/15/2018] [Accepted: 06/28/2018] [Indexed: 01/15/2023]
Affiliation(s)
- Sarah L. Lundregan
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Ingerid J. Hagen
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
- Norwegian Institute for Nature Research; Trondheim Norway
| | - Jostein Gohli
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
- Organismal and Evolutionary Biology Research Programme; University of Helsinki; Helsinki Finland
| | - Alina K. Niskanen
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
- Department of Ecology and Genetics; University of Oulu; Oulu Finland
| | - Petri Kemppainen
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
- Organismal and Evolutionary Biology Research Programme; University of Helsinki; Helsinki Finland
| | - Thor Harald Ringsby
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Thomas Kvalnes
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Henrik Pärn
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Bernt Rønning
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Håkon Holand
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Peter S. Ranke
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Anna S. Båtnes
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Linn-Karina Selvik
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Sigbjørn Lien
- Centre for Integrative Genetics; Department of Animal and Aquacultural Sciences; Faculty of Life Sciences; Norwegian University of Life Sciences; Ås Norway
| | - Bernt-Erik Saether
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
| | - Arild Husby
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
- Organismal and Evolutionary Biology Research Programme; University of Helsinki; Helsinki Finland
- Department of Ecology and Genetics; EBC; Uppsala University; Uppsala Sweden
| | - Henrik Jensen
- Department of Biology; Centre for Biodiversity Dynamics; Norwegian University of Science and Technology; Trondheim Norway
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