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Layton KKS, Brieuc MSO, Castilho R, Diaz-Arce N, Estévez-Barcia D, Fonseca VG, Fuentes-Pardo AP, Jeffery NW, Jiménez-Mena B, Junge C, Kaufmann J, Leinonen T, Maes SM, McGinnity P, Reed TE, Reisser CMO, Silva G, Vasemägi A, Bradbury IR. Predicting the future of our oceans-Evaluating genomic forecasting approaches in marine species. GLOBAL CHANGE BIOLOGY 2024; 30:e17236. [PMID: 38519845 DOI: 10.1111/gcb.17236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/21/2024] [Accepted: 02/25/2024] [Indexed: 03/25/2024]
Abstract
Climate change is restructuring biodiversity on multiple scales and there is a pressing need to understand the downstream ecological and genomic consequences of this change. Recent advancements in the field of eco-evolutionary genomics have sought to include evolutionary processes in forecasting species' responses to climate change (e.g., genomic offset), but to date, much of this work has focused on terrestrial species. Coastal and offshore species, and the fisheries they support, may be even more vulnerable to climate change than their terrestrial counterparts, warranting a critical appraisal of these approaches in marine systems. First, we synthesize knowledge about the genomic basis of adaptation in marine species, and then we discuss the few examples where genomic forecasting has been applied in marine systems. Next, we identify the key challenges in validating genomic offset estimates in marine species, and we advocate for the inclusion of historical sampling data and hindcasting in the validation phase. Lastly, we describe a workflow to guide marine managers in incorporating these predictions into the decision-making process.
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Affiliation(s)
- K K S Layton
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | | | - R Castilho
- University of the Algarve, Faro, Portugal
- Centre for Marine Sciences, University of the Algarve, Faro, Portugal
- Pattern Institute, Faro, Portugal
| | - N Diaz-Arce
- AZTI Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
| | - D Estévez-Barcia
- Department of Fish and Shellfish, Greenland Institute of Natural Resources, Nuuk, Greenland
| | - V G Fonseca
- Centre for Environment, Fisheries and Aquaculture Science, Weymouth, UK
| | - A P Fuentes-Pardo
- Department of Immunology, Genetics and Pathology, SciLifeLab Data Centre, Uppsala University, Uppsala, Sweden
| | - N W Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - B Jiménez-Mena
- Section for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - C Junge
- Institute of Marine Research, Tromso, Norway
| | | | - T Leinonen
- Natural Resources Institute Finland, Helsinki, Finland
| | - S M Maes
- Flanders Research Institute for Agriculture, Fisheries and Food, Ostend, Belgium
| | - P McGinnity
- School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland
| | - T E Reed
- School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland
| | - C M O Reisser
- MARBEC, University of Montpellier, CNRS, IFREMER, IRD, Montpellier, France
| | - G Silva
- MARE-Marine and Environmental Sciences Centre/ARNET-Aquatic Research Network, ISPA-Instituto Universitário, Lisbon, Portugal
| | - A Vasemägi
- Swedish University of Agricultural Sciences, Drottningholm, Sweden
- Estonian University of Life Sciences, Tartu, Estonia
| | - I R Bradbury
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
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2
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Díaz-Arce N, Gagnaire PA, Richardson DE, Walter JF, Arnaud-Haond S, Fromentin JM, Brophy D, Lutcavage M, Addis P, Alemany F, Allman R, Deguara S, Fraile I, Goñi N, Hanke AR, Karakulak FS, Pacicco A, Quattro JM, Rooker JR, Arrizabalaga H, Rodríguez-Ezpeleta N. Unidirectional trans-Atlantic gene flow and a mixed spawning area shape the genetic connectivity of Atlantic bluefin tuna. Mol Ecol 2024; 33:e17188. [PMID: 37921120 DOI: 10.1111/mec.17188] [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: 06/21/2023] [Revised: 10/02/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
The commercially important Atlantic bluefin tuna (Thunnus thynnus), a large migratory fish, has experienced notable recovery aided by accurate resource assessment and effective fisheries management efforts. Traditionally, this species has been perceived as consisting of eastern and western populations, spawning respectively in the Mediterranean Sea and the Gulf of Mexico, with mixing occurring throughout the Atlantic. However, recent studies have challenged this assumption by revealing weak genetic differentiation and identifying a previously unknown spawning ground in the Slope Sea used by Atlantic bluefin tuna of uncertain origin. To further understand the current and past population structure and connectivity of Atlantic bluefin tuna, we have assembled a unique dataset including thousands of genome-wide single-nucleotide polymorphisms (SNPs) from 500 larvae, young of the year and spawning adult samples covering the three spawning grounds and including individuals of other Thunnus species. Our analyses support two weakly differentiated but demographically connected ancestral populations that interbreed in the Slope Sea. Moreover, we also identified signatures of introgression from albacore (Thunnus alalunga) into the Atlantic bluefin tuna genome, exhibiting varied frequencies across spawning areas, indicating strong gene flow from the Mediterranean Sea towards the Slope Sea. We hypothesize that the observed genetic differentiation may be attributed to increased gene flow caused by a recent intensification of westward migration by the eastern population, which could have implications for the genetic diversity and conservation of western populations. Future conservation efforts should consider these findings to address potential genetic homogenization in the species.
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Affiliation(s)
- Natalia Díaz-Arce
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
| | | | - David E Richardson
- Northeast Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Narragansett, Rhode Island, USA
| | - John F Walter
- Southeast Fisheries Sciences Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Miami, Florida, USA
| | | | | | - Deirdre Brophy
- Marine and Freshwater Research Center, Atlantic Technological University (ATU), Galway City, Ireland
| | - Molly Lutcavage
- Large Pelagics Research Center, School for the Environment, University of Massachusetts Boston, Gloucester, Massachusetts, USA
| | - Piero Addis
- Department of Environmental and Life Science, University of Cagliari, Cagliari, Italy
| | - Francisco Alemany
- International Commission for the Conservation of Atlantic Tunas, GBYP, Madrid, Spain
| | - Robert Allman
- National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory, Panama City, Florida, USA
| | | | - Igaratza Fraile
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Nicolas Goñi
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Alex R Hanke
- St Andrews Biological Station, Fisheries and Oceans Canada, St. Andrews, New Brunswick, Canada
| | | | - Ashley Pacicco
- Cooperative Institute for Marine and Atmospheric Studies Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, Florida, USA
| | - Joseph M Quattro
- Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA
| | - Jay R Rooker
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, Texas, USA
| | - Haritz Arrizabalaga
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
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Abstract
AbstractEvolutionary biologists have thought about the role of genetic variation during adaptation for a very long time-before we understood the organization of the genetic code, the provenance of genetic variation, and how such variation influenced the phenotypes on which natural selection acts. Half a century after the discovery of the structure of DNA and the unraveling of the genetic code, we have a rich understanding of these problems and the means to both delve deeper and widen our perspective across organisms and natural populations. The 2022 Vice Presidential Symposium of the American Society of Naturalists highlighted examples of recent insights into the role of genetic variation in adaptive processes, which are compiled in this special section. The work was conducted in different parts of the world, included theoretical and empirical studies with diverse organisms, and addressed distinct aspects of how genetic variation influences adaptation. In our introductory article to the special section, we discuss some important recent insights about the generation and maintenance of genetic variation, its impacts on phenotype and fitness, its fate in natural populations, and its role in driving adaptation. By placing the special section articles in the broader context of recent developments, we hope that this overview will also serve as a useful introduction to the field.
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Non-synonymous variation and protein structure of candidate genes associated with selection in farm and wild populations of turbot (Scophthalmus maximus). Sci Rep 2023; 13:3019. [PMID: 36810752 PMCID: PMC9944912 DOI: 10.1038/s41598-023-29826-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 02/10/2023] [Indexed: 02/24/2023] Open
Abstract
Non-synonymous variation (NSV) of protein coding genes represents raw material for selection to improve adaptation to the diverse environmental scenarios in wild and livestock populations. Many aquatic species face variations in temperature, salinity and biological factors throughout their distribution range that is reflected by the presence of allelic clines or local adaptation. The turbot (Scophthalmus maximus) is a flatfish of great commercial value with a flourishing aquaculture which has promoted the development of genomic resources. In this study, we developed the first atlas of NSVs in the turbot genome by resequencing 10 individuals from Northeast Atlantic Ocean. More than 50,000 NSVs where detected in the ~ 21,500 coding genes of the turbot genome, and we selected 18 NSVs to be genotyped using a single Mass ARRAY multiplex on 13 wild populations and three turbot farms. We detected signals of divergent selection on several genes related to growth, circadian rhythms, osmoregulation and oxygen binding in the different scenarios evaluated. Furthermore, we explored the impact of NSVs identified on the 3D structure and functional relationship of the correspondent proteins. In summary, our study provides a strategy to identify NSVs in species with consistently annotated and assembled genomes to ascertain their role in adaptation.
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Johannesson K, Leder EH, André C, Dupont S, Eriksson SP, Harding K, Havenhand JN, Jahnke M, Jonsson PR, Kvarnemo C, Pavia H, Rafajlović M, Rödström EM, Thorndyke M, Blomberg A. Ten years of marine evolutionary biology-Challenges and achievements of a multidisciplinary research initiative. Evol Appl 2023; 16:530-541. [PMID: 36793681 PMCID: PMC9923476 DOI: 10.1111/eva.13389] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/08/2022] [Accepted: 04/21/2022] [Indexed: 11/26/2022] Open
Abstract
The Centre for Marine Evolutionary Biology (CeMEB) at the University of Gothenburg, Sweden, was established in 2008 through a 10-year research grant of 8.7 m€ to a team of senior researchers. Today, CeMEB members have contributed >500 scientific publications, 30 PhD theses and have organised 75 meetings and courses, including 18 three-day meetings and four conferences. What are the footprints of CeMEB, and how will the centre continue to play a national and international role as an important node of marine evolutionary research? In this perspective article, we first look back over the 10 years of CeMEB activities and briefly survey some of the many achievements of CeMEB. We furthermore compare the initial goals, as formulated in the grant application, with what has been achieved, and discuss challenges and milestones along the way. Finally, we bring forward some general lessons that can be learnt from a research funding of this type, and we also look ahead, discussing how CeMEB's achievements and lessons can be used as a springboard to the future of marine evolutionary biology.
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Affiliation(s)
- Kerstin Johannesson
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Erica H Leder
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden.,Natural History Museum University of Oslo Oslo Norway
| | - Carl André
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Sam Dupont
- Department of Biology and Environmental Science University of Gothenburg, Kristineberg Marine Research Station Fiskebäckskil Sweden.,International Atomic Energy Agency Principality of Monaco Monaco
| | - Susanne P Eriksson
- Department of Biology and Environmental Science University of Gothenburg, Kristineberg Marine Research Station Fiskebäckskil Sweden
| | - Karin Harding
- Department of Biology and Environmental Science University of Gothenburg Gothenburg Sweden
| | - Jonathan N Havenhand
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Marlene Jahnke
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Per R Jonsson
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Charlotta Kvarnemo
- Department of Biology and Environmental Science University of Gothenburg Gothenburg Sweden
| | - Henrik Pavia
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Marina Rafajlović
- Department of Marine Sciences University of Gothenburg Gothenburg Sweden
| | - Eva Marie Rödström
- Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - Michael Thorndyke
- Department of Biology and Environmental Science University of Gothenburg, Kristineberg Marine Research Station Fiskebäckskil Sweden.,Department of Genomics Research in Ecology & Evolution in Nature (GREEN) Groningen Institute for Evolutionary Life Sciences (GELIFES) De Rijksuniversiteit Groningen Groningen The Netherlands
| | - Anders Blomberg
- Department of Chemistry and Molecular Biology University of Gothenburg Gothenburg Sweden
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Genomic insights into the historical and contemporary demographics of the grey reef shark. Heredity (Edinb) 2022; 128:225-235. [PMID: 35296830 PMCID: PMC8987070 DOI: 10.1038/s41437-022-00514-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 11/08/2022] Open
Abstract
Analyses of genetic diversity can shed light on both the origins of biodiversity hotspots, as well as the conservation status of species that are impacted by human activities. With these objectives, we assembled a genomic dataset of 14,935 single nucleotide polymorphisms from 513 grey reef sharks (Carcharhinus amblyrhynchos) sampled across 17 locations in the tropical Indo-Pacific. We analysed geographic variation in genetic diversity, estimated ancient and contemporary effective population size (Ne) across sampling locations (using coalescent and linkage disequilibrium methods) and modelled the history of gene flow between the Coral Triangle and the Coral Sea. Genetic diversity decreased with distance away from the Coral Triangle and north-western Australia, implying that C. amblyrhynchos may have originated in this region. Increases in Ne were detected across almost all sampling locations 40,000-90,000 generations ago (approximately 0.6-1.5 mya, given an estimated generation time of 16.4 years), suggesting a range expansion around this time. More recent, secondary increases in Ne were inferred for the Misool and North Great Barrier Reef sampling locations, but joint modelling did not clarify whether these were due to population growth, migration, or both. Despite the greater genetic diversity and ancient Ne observed at sites around Australia and the Coral Triangle, remote reefs around north-western New Caledonia had the highest contemporary Ne, demonstrating the importance of using multiple population size assessment methods. This study provides insight into both the past and present demographics of C. amblyrhynchos and contributes to our understanding of evolution in marine biodiversity hotspots.
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7
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Shi Y, Bouska KL, McKinney GJ, Dokai W, Bartels A, McPhee MV, Larson WA. Gene flow influences the genomic architecture of local adaptation in six riverine fish species. Mol Ecol 2021; 32:1549-1566. [PMID: 34878685 DOI: 10.1111/mec.16317] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/15/2021] [Accepted: 12/01/2021] [Indexed: 11/30/2022]
Abstract
Understanding how gene flow influences adaptive divergence is important for predicting adaptive responses. Theoretical studies suggest that when gene flow is high, clustering of adaptive genes in fewer genomic regions would protect adaptive alleles from recombination and thus be selected for, but few studies have tested it with empirical data. Here, we used restriction site-associated sequencing to generate genomic data for six fish species with contrasting life histories from six reaches of the Upper Mississippi River System, USA. We used four differentiation-based outlier tests and three genotype-environment association analyses to define neutral single nucleotide polymorphisms (SNPs) and outlier SNPs that were putatively under selection. We then examined the distribution of outlier SNPs along the genome and investigated whether these SNPs were found in genomic islands of differentiation and inversions. We found that gene flow varied among species, and outlier SNPs were clustered more tightly in species with higher gene flow. The two species with the highest overall FST (0.0303-0.0720) and therefore lowest gene flow showed little evidence of clusters of outlier SNPs, with outlier SNPs in these species spreading uniformly across the genome. In contrast, nearly all outlier SNPs in the species with the lowest FST (0.0003) were found in a single large putative inversion. Two other species with intermediate gene flow (FST ~ 0.0025-0.0050) also showed clustered genomic architectures, with most islands of differentiation clustered on a few chromosomes. Our results provide important empirical evidence to support the hypothesis that increasingly clustered architecture of local adaptation is associated with high gene flow.
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Affiliation(s)
- Yue Shi
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA.,Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
| | - Kristen L Bouska
- U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, USA
| | - Garrett J McKinney
- NRC Research Associateship Program, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | - William Dokai
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA.,Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
| | - Andrew Bartels
- Long Term Resource Monitoring Program, Wisconsin Department of Natural Resources, La Crosse, Wisconsin, USA
| | - Megan V McPhee
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA
| | - Wesley A Larson
- National Oceanographic and Atmospheric Administration, Auke Bay Laboratories, National Marine Fisheries Service, Alaska Fisheries Science Center, Juneau, Alaska, USA.,U.S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
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Whiting JR, Paris JR, van der Zee MJ, Parsons PJ, Weigel D, Fraser BA. Drainage-structuring of ancestral variation and a common functional pathway shape limited genomic convergence in natural high- and low-predation guppies. PLoS Genet 2021; 17:e1009566. [PMID: 34029313 PMCID: PMC8177651 DOI: 10.1371/journal.pgen.1009566] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 06/04/2021] [Accepted: 04/27/2021] [Indexed: 01/21/2023] Open
Abstract
Studies of convergence in wild populations have been instrumental in understanding adaptation by providing strong evidence for natural selection. At the genetic level, we are beginning to appreciate that the re-use of the same genes in adaptation occurs through different mechanisms and can be constrained by underlying trait architectures and demographic characteristics of natural populations. Here, we explore these processes in naturally adapted high- (HP) and low-predation (LP) populations of the Trinidadian guppy, Poecilia reticulata. As a model for phenotypic change this system provided some of the earliest evidence of rapid and repeatable evolution in vertebrates; the genetic basis of which has yet to be studied at the whole-genome level. We collected whole-genome sequencing data from ten populations (176 individuals) representing five independent HP-LP river pairs across the three main drainages in Northern Trinidad. We evaluate population structure, uncovering several LP bottlenecks and variable between-river introgression that can lead to constraints on the sharing of adaptive variation between populations. Consequently, we found limited selection on common genes or loci across all drainages. Using a pathway type analysis, however, we find evidence of repeated selection on different genes involved in cadherin signaling. Finally, we found a large repeatedly selected haplotype on chromosome 20 in three rivers from the same drainage. Taken together, despite limited sharing of adaptive variation among rivers, we found evidence of convergent evolution associated with HP-LP environments in pathways across divergent drainages and at a previously unreported candidate haplotype within a drainage.
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Affiliation(s)
- James R. Whiting
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
| | | | | | - Paul J. Parsons
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom
| | - Detlef Weigel
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Bonnie A. Fraser
- Department of Biosciences, University of Exeter, Exeter, United Kingdom
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