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Kessler C, Shafer ABA. Genomic Analyses Capture the Human-Induced Demographic Collapse and Recovery in a Wide-Ranging Cervid. Mol Biol Evol 2024; 41:msae038. [PMID: 38378172 PMCID: PMC10917209 DOI: 10.1093/molbev/msae038] [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: 08/15/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
The glacial cycles of the Quaternary heavily impacted species through successions of population contractions and expansions. Similarly, populations have been intensely shaped by human pressures such as unregulated hunting and land use changes. White-tailed and mule deer survived in different refugia through the Last Glacial Maximum, and their populations were severely reduced after the European colonization. Here, we analyzed 73 resequenced deer genomes from across their North American range to understand the consequences of climatic and anthropogenic pressures on deer demographic and adaptive history. We found strong signals of climate-induced vicariance and demographic decline; notably, multiple sequentially Markovian coalescent recovers a severe decline in mainland white-tailed deer effective population size (Ne) at the end of the Last Glacial Maximum. We found robust evidence for colonial overharvest in the form of a recent and dramatic drop in Ne in all analyzed populations. Historical census size and restocking data show a clear parallel to historical Ne estimates, and temporal Ne/Nc ratio shows patterns of conservation concern for mule deer. Signatures of selection highlight genes related to temperature, including a cold receptor previously highlighted in woolly mammoth. We also detected immune genes that we surmise reflect the changing land use patterns in North America. Our study provides a detailed picture of anthropogenic and climatic-induced decline in deer diversity and clues to understanding the conservation concerns of mule deer and the successful demographic recovery of white-tailed deer.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada
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2
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Pratt EAL, Beheregaray LB, Fruet P, Tezanos-Pinto G, Bilgmann K, Zanardo N, Diaz-Aguirre F, Secchi ER, Freitas TRO, Möller LM. Genomic Divergence and the Evolution of Ecotypes in Bottlenose Dolphins (Genus Tursiops). Genome Biol Evol 2023; 15:evad199. [PMID: 37935115 PMCID: PMC10655200 DOI: 10.1093/gbe/evad199] [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: 10/27/2023] [Revised: 10/03/2023] [Accepted: 10/14/2023] [Indexed: 11/09/2023] Open
Abstract
Climatic changes have caused major environmental restructuring throughout the world's oceans. Marine organisms have responded to novel conditions through various biological systems, including genomic adaptation. Growing accessibility of next-generation DNA sequencing methods to study nonmodel species has recently allowed genomic changes underlying environmental adaptations to be investigated. This study used double-digest restriction-site associated DNA (ddRAD) sequence data to investigate the genomic basis of ecotype formation across currently recognized species and subspecies of bottlenose dolphins (genus Tursiops) in the Southern Hemisphere. Subspecies-level genomic divergence was confirmed between the offshore common bottlenose dolphin (T. truncatus truncatus) and the inshore Lahille's bottlenose dolphin (T. t. gephyreus) from the southwestern Atlantic Ocean (SWAO). Similarly, subspecies-level divergence is suggested between inshore (eastern Australia) Indo-Pacific bottlenose dolphin (T. aduncus) and the proposed Burrunan dolphin (T. australis) from southern Australia. Inshore bottlenose dolphin lineages generally had lower genomic diversity than offshore lineages, a pattern particularly evident for T. t. gephyreus, which showed exceptionally low diversity. Genomic regions associated with cardiovascular, musculoskeletal, and energy production systems appear to have undergone repeated adaptive evolution in inshore lineages across the Southern Hemisphere. We hypothesize that comparable selective pressures in the inshore environment drove similar adaptive responses in each lineage, supporting parallel evolution of inshore bottlenose dolphins. With climate change altering marine ecosystems worldwide, it is crucial to gain an understanding of the adaptive capacity of local species and populations. Our study provides insights into key adaptive pathways that may be important for the long-term survival of cetaceans and other organisms in a changing marine environment.
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Affiliation(s)
- Eleanor A L Pratt
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Pedro Fruet
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Kaosa, Rio Grande, Brazil
| | | | - Kerstin Bilgmann
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Department of Environment and Water, Adelaide, South Australia, Australia
| | - Fernando Diaz-Aguirre
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Eduardo R Secchi
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
| | - Thales R O Freitas
- Laboratório de Citogenética e Evolução, Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
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3
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Single Nucleotide Polymorphism Markers with Applications in Conservation and Exploitation of Aquatic Natural Populations. Animals (Basel) 2023; 13:ani13061089. [PMID: 36978629 PMCID: PMC10044284 DOI: 10.3390/ani13061089] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/11/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Simple Summary In recent decades, societies, states and local authorities have become increasingly aware that for effective long-term management and protection of aquatic ecosystems and populations, it is necessary to take into account the genetic changes occurring in these populations. One type of high-resolution molecular marker suitable for studying the neutral and adaptive genetic diversity of populations is single nucleotide polymorphism (SNP). This review is an attempt to show the benefits of using SNPs to recognize natural populations of aquatic animals and detect the threats to them from accidentally or intentionally released farm animals, fishery and global climate changes. It is postulated that conservation actions should protect not only pristine natural populations that are endangered or overfished, but also protect populations of non-threatened species from unnecessarily released semi-domesticated animals. The enhancement of natural populations with farmed material usually reduces their genetic diversity. Experimental size-selective catches of artificially created populations have caused evolutionary changes in the life cycles of fishes. However, fishery-induced evolution in natural populations is difficult to observe. The negative measurable effects on populations can be expected when the number of breeding individuals is reduced below 100, which occurs very rarely in the sea and more often in fragmented freshwater streams, ponds and seasonal rivers. Abstract An increasing number of aquatic species have been studied for genetic polymorphism, which extends the knowledge on their natural populations. One type of high-resolution molecular marker suitable for studying the genetic diversity of large numbers of individuals is single nucleotide polymorphism (SNP). This review is an attempt to show the range of applications of SNPs in studies of natural populations of aquatic animals. In recent years, SNPs have been used in the genetic analysis of wild and enhanced fish and invertebrate populations in natural habitats, exploited migratory species in the oceans, migratory anadromous and freshwater fish and demersal species. SNPs have been used for the identification of species and their hybrids in natural environments, to study the genetic consequences of restocking for conservation purposes and the negative effects on natural populations of fish accidentally escaping from culture. SNPs are very useful for identifying genomic regions correlated with phenotypic variants relevant for wildlife protection, management and aquaculture. Experimental size-selective catches of populations created in tanks have caused evolutionary changes in life cycles of fishes. The research results have been discussed to clarify whether the fish populations in natural conditions can undergo changes due to selective harvesting targeting the fastest-growing fishes.
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Theissinger K, Fernandes C, Formenti G, Bista I, Berg PR, Bleidorn C, Bombarely A, Crottini A, Gallo GR, Godoy JA, Jentoft S, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Secomandi S, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Jarvis ED, Bálint M, Ciofi C, Waterhouse RM, Mazzoni CJ, Höglund J. How genomics can help biodiversity conservation. Trends Genet 2023:S0168-9525(23)00020-3. [PMID: 36801111 DOI: 10.1016/j.tig.2023.01.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/18/2023]
Abstract
The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches and applications in biodiversity and conservation genomics, considering practical factors, such as cost, time, prerequisite skills, and current shortcomings of applications. Most approaches perform best in combination with reference genomes from the target species or closely related species. We review case studies to illustrate how reference genomes can facilitate biodiversity research and conservation across the tree of life. We conclude that the time is ripe to view reference genomes as fundamental resources and to integrate their use as a best practice in conservation genomics.
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Affiliation(s)
- Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Iliana Bista
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, The Netherlands; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Paul R Berg
- NIVA - Norwegian Institute for Water Research, Økernveien, 94, 0579 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Göttingen, Germany
| | | | - Angelica Crottini
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas, 7, 4485-661, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | - José A Godoy
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Joanna Malukiewicz
- Primate Genetics Laborator, German Primate Center, Kellnerweg 4, 37077, Göttingen, Germany
| | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Liege, Belgium
| | - Rebekah A Oomen
- Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences, University of Groningen, Nijenborgh, 9747, AG, Groningen, The Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5,220, Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Hannes Svardal
- Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium
| | - Constantina Theofanopoulou
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA; Hunter College, City University of New York, NY, USA
| | - Jan de Vries
- University of Goettingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Goettingen, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Cologne, Germany
| | - Guojie Zhang
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino, (FI) 50019, Italy
| | - Robert M Waterhouse
- University of Lausanne, Department of Ecology and Evolution, Le Biophore, UNIL-Sorge, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany; Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Koenigin-Luise-Str 6-8, 14195 Berlin, Germany
| | - Jacob Höglund
- Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Uppsala, Sweden.
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Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography. BMC Ecol Evol 2022; 22:88. [PMID: 35818031 PMCID: PMC9275043 DOI: 10.1186/s12862-022-02038-1] [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: 03/02/2022] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia.
Results
We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits.
Conclusion
To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts.
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Andrello M, D'Aloia C, Dalongeville A, Escalante MA, Guerrero J, Perrier C, Torres-Florez JP, Xuereb A, Manel S. Evolving spatial conservation prioritization with intraspecific genetic data. Trends Ecol Evol 2022; 37:553-564. [PMID: 35450706 DOI: 10.1016/j.tree.2022.03.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 12/15/2022]
Abstract
Spatial conservation prioritization (SCP) is a planning framework used to identify new conservation areas on the basis of the spatial distribution of species, ecosystems, and their services to human societies. The ongoing accumulation of intraspecific genetic data on a variety of species offers a way to gain knowledge of intraspecific genetic diversity and to estimate several population characteristics useful in conservation, such as dispersal and population size. Here, we review how intraspecific genetic data have been integrated into SCP and highlight their potential for identifying conservation area networks that represent intraspecific genetic diversity comprehensively and that ensure the long-term persistence of biodiversity in the face of global change.
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Affiliation(s)
- Marco Andrello
- Institute for the study of Anthropic impacts and Sustainability in the marine environment, National Research Council, CNR-IAS, Rome, Italy.
| | - Cassidy D'Aloia
- Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada
| | | | - Marco A Escalante
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
| | - Jimena Guerrero
- Sociedad Científica de Investigación Transdisciplinaria y Especialización (SCITE), Calimaya, México
| | - Charles Perrier
- CBGP, INRAe, CIRAD, IRD, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Juan Pablo Torres-Florez
- Instituto Chico Mendes de Conservação da Biodiversidade, Centro Nacional de Pesquisa e Conservação de Mamíferos Aquáticos, Santos, Brazil
| | - Amanda Xuereb
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
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de Aquino SO, Kiwuka C, Tournebize R, Gain C, Marraccini P, Mariac C, Bethune K, Couderc M, Cubry P, Andrade AC, Lepelley M, Darracq O, Crouzillat D, Anten N, Musoli P, Vigouroux Y, de Kochko A, Manel S, François O, Poncet V. Adaptive potential of
Coffea canephora
from Uganda in response to climate change. Mol Ecol 2022; 31:1800-1819. [DOI: 10.1111/mec.16360] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 11/12/2021] [Accepted: 01/06/2022] [Indexed: 11/28/2022]
Affiliation(s)
| | - Catherine Kiwuka
- NARO Kampala Uganda
- Centre for Crop Systems Analysis Wageningen Univ. Wageningen Netherlands
| | | | - Clément Gain
- U. Grenoble‐Alpes, TIMC‐IMAG, CNRS UMR 5525, Grenoble, France and LJK, Inria, CNRS UMR 5224 Grenoble France
| | | | - Cédric Mariac
- DIADE, Univ. Montpellier, CIRAD, IRD Montpellier France
| | - Kévin Bethune
- DIADE, Univ. Montpellier, CIRAD, IRD Montpellier France
| | - Marie Couderc
- DIADE, Univ. Montpellier, CIRAD, IRD Montpellier France
| | | | | | | | | | | | - Niels Anten
- Centre for Crop Systems Analysis Wageningen Univ. Wageningen Netherlands
| | | | | | | | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS, EPHE‐PSL University, IRD Montpellier France
| | - Olivier François
- U. Grenoble‐Alpes, TIMC‐IMAG, CNRS UMR 5525, Grenoble, France and LJK, Inria, CNRS UMR 5224 Grenoble France
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8
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Feng L, Du FK. Landscape Genomics in Tree Conservation Under a Changing Environment. FRONTIERS IN PLANT SCIENCE 2022; 13:822217. [PMID: 35283901 PMCID: PMC8908315 DOI: 10.3389/fpls.2022.822217] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/10/2022] [Indexed: 05/11/2023]
Abstract
Understanding the genetic basis of how species respond to changing environments is essential to the conservation of species. However, the molecular mechanisms of adaptation remain largely unknown for long-lived tree species which always have large population sizes, long generation time, and extensive gene flow. Recent advances in landscape genomics can reveal the signals of adaptive selection linking genetic variations and landscape characteristics and therefore have created novel insights into tree conservation strategies. In this review article, we first summarized the methods of landscape genomics used in tree conservation and elucidated the advantages and disadvantages of these methods. We then highlighted the newly developed method "Risk of Non-adaptedness," which can predict the genetic offset or genomic vulnerability of species via allele frequency change under multiple scenarios of climate change. Finally, we provided prospects concerning how our introduced approaches of landscape genomics can assist policymaking and improve the existing conservation strategies for tree species under the ongoing global changes.
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Affiliation(s)
- Li Feng
- School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
| | - Fang K. Du
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
- *Correspondence: Fang K. Du,
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Boulanger E, Benestan L, Guerin PE, Dalongeville A, Mouillot D, Manel S. Climate differently influences the genomic patterns of two sympatric marine fish species. J Anim Ecol 2021; 91:1180-1195. [PMID: 34716929 DOI: 10.1111/1365-2656.13623] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 10/21/2021] [Indexed: 12/19/2022]
Abstract
Climate influences population genetic variation in marine species. Capturing these impacts remains challenging for marine fishes which disperse over large geographical scales spanning steep environmental gradients. It requires the extensive spatial sampling of individuals or populations, representative of seascape heterogeneity, combined with a set of highly informative molecular markers capable of revealing climatic-associated genetic variations. We explored how space, dispersal and environment shape the genomic patterns of two sympatric fish species in the Mediterranean Sea, which ranks among the oceanic basins most affected by climate change and human pressure. We hypothesized that the population structure and climate-associated genomic signatures of selection would be stronger in the less mobile species, as restricted gene flow tends to facilitate the fixation of locally adapted alleles. To test our hypothesis, we genotyped two species with contrasting dispersal abilities: the white seabream Diplodus sargus and the striped red mullet Mullus surmuletus. We collected 823 individuals and used genotyping by sequencing (GBS) to detect 8,206 single nucleotide polymorphisms (SNPs) for the seabream and 2,794 for the mullet. For each species, we identified highly differentiated genomic regions (i.e. outliers) and disentangled the relative contribution of space, dispersal and environmental variables (climate, marine primary productivity) on the outliers' genetic structure to test the prevalence of gene flow and local adaptation. We observed contrasting patterns of gene flow and adaptive genetic variation between the two species. The seabream showed a distinct Alboran sea population and panmixia across the Mediterranean Sea. The mullet revealed additional differentiation within the Mediterranean Sea that was significantly correlated to summer and winter temperatures, as well as marine primary productivity. Functional annotation of the climate-associated outlier SNPs then identified candidate genes involved in heat tolerance that could be examined to further predict species' responses to climate change. Our results illustrate the key steps of a comparative seascape genomics study aiming to unravel the evolutionary processes at play in marine species, to better anticipate their response to climate change. Defining population adaptation capacities and environmental niches can then serve to incorporate evolutionary processes into species conservation planning.
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Affiliation(s)
- Emilie Boulanger
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.,MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Laura Benestan
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | - Pierre-Edouard Guerin
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | | | - David Mouillot
- MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Montpellier, France.,Institut Universitaire de France, Paris, France
| | - Stéphanie Manel
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
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Sætre CLC, Eroukhmanoff F, Rönkä K, Kluen E, Thorogood R, Torrance J, Tracey A, Chow W, Pelan S, Howe K, Jakobsen KS, Tørresen OK. A Chromosome-Level Genome Assembly of the Reed Warbler (Acrocephalus scirpaceus). Genome Biol Evol 2021; 13:6367782. [PMID: 34499122 PMCID: PMC8459166 DOI: 10.1093/gbe/evab212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
The reed warbler (Acrocephalus scirpaceus) is a long-distance migrant passerine with a wide distribution across Eurasia. This species has fascinated researchers for decades, especially its role as host of a brood parasite, and its capacity for rapid phenotypic change in the face of climate change. Currently, it is expanding its range northwards in Europe, and is altering its migratory behavior in certain areas. Thus, there is great potential to discover signs of recent evolution and its impact on the genomic composition of the reed warbler. Here, we present a high-quality reference genome for the reed warbler, based on PacBio, 10×, and Hi-C sequencing. The genome has an assembly size of 1,075,083,815 bp with a scaffold N50 of 74,438,198 bp and a contig N50 of 12,742,779 bp. BUSCO analysis using aves_odb10 as a model showed that 95.7% of BUSCO genes were complete. We found unequivocal evidence of two separate macrochromosomal fusions in the reed warbler genome, in addition to the previously identified fusion between chromosome Z and a part of chromosome 4A in the Sylvioidea superfamily. We annotated 14,645 protein-coding genes, and a BUSCO analysis of the protein sequences indicated 97.5% completeness. This reference genome will serve as an important resource, and will provide new insights into the genomic effects of evolutionary drivers such as coevolution, range expansion, and adaptations to climate change, as well as chromosomal rearrangements in birds.
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Affiliation(s)
| | | | - Katja Rönkä
- HiLIFE Helsinki Institute of Life Sciences, University of Helsinki, Finland.,Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland
| | - Edward Kluen
- HiLIFE Helsinki Institute of Life Sciences, University of Helsinki, Finland.,Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland
| | - Rose Thorogood
- HiLIFE Helsinki Institute of Life Sciences, University of Helsinki, Finland.,Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland
| | - James Torrance
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - William Chow
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Sarah Pelan
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Kjetill S Jakobsen
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, Norway
| | - Ole K Tørresen
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, Norway
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11
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Nielsen ES, Henriques R, Beger M, von der Heyden S. Distinct interspecific and intraspecific vulnerability of coastal species to global change. GLOBAL CHANGE BIOLOGY 2021; 27:3415-3431. [PMID: 33904200 DOI: 10.1111/gcb.15651] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
Characterising and predicting species responses to anthropogenic global change is one of the key challenges in contemporary ecology and conservation. The sensitivity of marine species to climate change is increasingly being described with forecasted species distributions, yet these rarely account for population level processes such as genomic variation and local adaptation. This study compares inter- and intraspecific patterns of biological composition to determine how vulnerability to climate change, and its environmental drivers, vary across species and populations. We compare species trajectories for three ecologically important southern African marine invertebrates at two time points in the future, both at the species level, with correlative species distribution models, and at the population level, with gradient forest models. Reported range shifts are species-specific and include both predicted range gains and losses. Forecasted species responses to climate change are strongly influenced by changes in a suite of environmental variables, from sea surface salinity and sea surface temperature, to minimum air temperature. Our results further suggest a mismatch between future habitat suitability (where species can remain in their ecological niche) and genomic vulnerability (where populations retain their genomic composition), highlighting the inter- and intraspecific variability in species' sensitivity to global change. Overall, this study demonstrates the importance of considering species and population level climatic vulnerability when proactively managing coastal marine ecosystems in the Anthropocene.
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Affiliation(s)
- Erica S Nielsen
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
| | - Romina Henriques
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
- Section for Marine Living Resources, Technical University of Denmark, National Institute of Aquatic Resources, Silkeborg, Denmark
| | - Maria Beger
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Sophie von der Heyden
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
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12
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Vasconcelos AA, José J, Tokimatu PM, Camargo AP, Teixeira PJPL, Thomazella DPT, do Prado PFV, Fiorin GL, Costa JL, Figueira A, Carazzolle MF, Pereira GAG, Baroni RM. Adaptive evolution of Moniliophthora PR-1 proteins towards its pathogenic lifestyle. BMC Ecol Evol 2021; 21:84. [PMID: 33990179 PMCID: PMC8120714 DOI: 10.1186/s12862-021-01818-5] [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: 03/19/2021] [Accepted: 04/26/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Plant pathogenesis related-1 (PR-1) proteins belong to the CAP superfamily and have been characterized as markers of induced defense against pathogens. Moniliophthora perniciosa and Moniliophthora roreri are hemibiotrophic fungi that respectively cause the witches' broom disease and frosty pod rot in Theobroma cacao. Interestingly, a large number of plant PR-1-like genes are present in the genomes of both species and many are up-regulated during the biotrophic interaction. In this study, we investigated the evolution of PR-1 proteins from 22 genomes of Moniliophthora isolates and 16 other Agaricales species, performing genomic investigation, phylogenetic reconstruction, positive selection search and gene expression analysis. RESULTS Phylogenetic analysis revealed conserved PR-1 genes (PR-1a, b, d, j), shared by many Agaricales saprotrophic species, that have diversified in new PR-1 genes putatively related to pathogenicity in Moniliophthora (PR-1f, g, h, i), as well as in recent specialization cases within M. perniciosa biotypes (PR-1c, k, l) and M. roreri (PR-1n). PR-1 families in Moniliophthora with higher evolutionary rates exhibit induced expression in the biotrophic interaction and positive selection clues, supporting the hypothesis that these proteins accumulated adaptive changes in response to host-pathogen arms race. Furthermore, although previous work showed that MpPR-1 can detoxify plant antifungal compounds in yeast, we found that in the presence of eugenol M. perniciosa differentially expresses only MpPR-1e, k, d, of which two are not linked to pathogenicity, suggesting that detoxification might not be the main function of most MpPR-1. CONCLUSIONS Based on analyses of genomic and expression data, we provided evidence that the evolution of PR-1 in Moniliophthora was adaptive and potentially related to the emergence of the parasitic lifestyle in this genus. Additionally, we also discuss how fungal PR-1 proteins could have adapted from basal conserved functions to possible roles in fungal pathogenesis.
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Affiliation(s)
- Adrielle A Vasconcelos
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Juliana José
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Paulo M Tokimatu
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Antonio P Camargo
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Paulo J P L Teixeira
- Departamento de Ciências Biológicas, Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ), Universidade de São Paulo, Piracicaba, SP, Brazil
| | - Daniela P T Thomazella
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Paula F V do Prado
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Gabriel L Fiorin
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Juliana L Costa
- Centro de Energia Nuclear Na Agricultura, Universidade de São Paulo, Piracicaba, SP, Brazil
| | - Antonio Figueira
- Centro de Energia Nuclear Na Agricultura, Universidade de São Paulo, Piracicaba, SP, Brazil
| | - Marcelo F Carazzolle
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Gonçalo A G Pereira
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil.
| | - Renata M Baroni
- Departamento de Genética, Evolução, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil
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13
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Ahrens CW, Jordan R, Bragg J, Harrison PA, Hopley T, Bothwell H, Murray K, Steane DA, Whale JW, Byrne M, Andrew R, Rymer PD. Regarding the F-word: The effects of data filtering on inferred genotype-environment associations. Mol Ecol Resour 2021; 21:1460-1474. [PMID: 33565725 DOI: 10.1111/1755-0998.13351] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/01/2021] [Accepted: 02/05/2021] [Indexed: 01/05/2023]
Abstract
Genotype-environment association (GEA) methods have become part of the standard landscape genomics toolkit, yet, we know little about how to best filter genotype-by-sequencing data to provide robust inferences for environmental adaptation. In many cases, default filtering thresholds for minor allele frequency and missing data are applied regardless of sample size, having unknown impacts on the results, negatively affecting management strategies. Here, we investigate the effects of filtering on GEA results and the potential implications for assessment of adaptation to environment. We use empirical and simulated data sets derived from two widespread tree species to assess the effects of filtering on GEA outputs. Critically, we find that the level of filtering of missing data and minor allele frequency affect the identification of true positives. Even slight adjustments to these thresholds can change the rate of true positive detection. Using conservative thresholds for missing data and minor allele frequency substantially reduces the size of the data set, lessening the power to detect adaptive variants (i.e., simulated true positives) with strong and weak strengths of selection. Regardless, strength of selection was a good predictor for GEA detection, but even some SNPs under strong selection went undetected. False positive rates varied depending on the species and GEA method, and filtering significantly impacted the predictions of adaptive capacity in downstream analyses. We make several recommendations regarding filtering for GEA methods. Ultimately, there is no filtering panacea, but some choices are better than others, depending on the study system, availability of genomic resources, and desired objectives.
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Affiliation(s)
- Collin W Ahrens
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | | | - Jason Bragg
- Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, The Royal Botanic Garden, Sydney, NSW, Australia
| | - Peter A Harrison
- School of Natural Sciences and Australian Research Council Training Centre for Forest Value, University of Tasmania, Hobart, Tas., Australia
| | - Tara Hopley
- Department of Biodiversity, Conservation and Attractions, Biodiversity and Conservation Science, Perth, WA, Australia
| | | | - Kevin Murray
- Australian National University, Acton, ACT, Australia
| | - Dorothy A Steane
- CSIRO Land & Water, Hobart, Tas., Australia.,School of Natural Sciences and Australian Research Council Training Centre for Forest Value, University of Tasmania, Hobart, Tas., Australia
| | - John W Whale
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Margaret Byrne
- Department of Biodiversity, Conservation and Attractions, Biodiversity and Conservation Science, Perth, WA, Australia
| | - Rose Andrew
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
| | - Paul D Rymer
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
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14
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Abstract
Many questions can be explored thanks to whole-genome data. The aim of this study was to overcome their main limits, software availability and database accuracy, and estimate the feasibility of red blood cell (RBC) antigen typing from whole-genome sequencing (WGS) data. We analyzed whole-genome data from 79 individuals for HLA-DRB1 and 9 RBC antigens. Whole-genome sequencing data was analyzed with software allowing phasing of variable positions to define alleles or haplotypes and validated for HLA typing from next-generation sequencing data. A dedicated database was set up with 1648 variable positions analyzed in KEL (KEL), ACKR1 (FY), SLC14A1 (JK), ACHE (YT), ART4 (DO), AQP1 (CO), CD44 (IN), SLC4A1 (DI) and ICAM4 (LW). Whole-genome sequencing typing was compared to that previously obtained by amplicon-based monoallelic sequencing and by SNaPshot analysis. Whole-genome sequencing data were also explored for other alleles. Our results showed 93% of concordance for blood group polymorphisms and 91% for HLA-DRB1. Incorrect typing and unresolved results confirm that WGS should be considered reliable with read depths strictly above 15x. Our results supported that RBC antigen typing from WGS is feasible but requires improvements in read depth for SNV polymorphisms typing accuracy. We also showed the potential for WGS in screening donors with rare blood antigens, such as weak JK alleles. The development of WGS analysis in immunogenetics laboratories would offer personalized care in the management of RBC disorders.
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15
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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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16
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Genome-wide genetic diversity yields insights into genomic responses of candidate climate-selected loci in an Andean wetland plant. Sci Rep 2020; 10:16851. [PMID: 33033367 PMCID: PMC7546723 DOI: 10.1038/s41598-020-73976-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/13/2020] [Indexed: 11/28/2022] Open
Abstract
Assessing population evolutionary potential has become a central tenet of conservation biology. Since adaptive responses require allelic variation at functional genes, consensus has grown that genetic variation at genes under selection is a better surrogate for adaptive evolutionary potential than neutral genetic diversity. Although consistent with prevailing theory, this argument lacks empirical support and ignores recent theoretical advances questioning the very concept of neutral genetic diversity. In this study, we quantified genome-wide responses of single nucleotide polymorphism loci linked to climatic factors over a strong latitudinal gradient in natural populations of the high Andean wetland plant, Carex gayana, and then assessed whether genetic variation of candidate climate-selected loci better predicted their genome-wide responses than genetic variation of non-candidate loci. Contrary to this expectation, genomic responses of climate-linked loci only related significantly to environmental variables and genetic diversity of non-candidate loci. The effects of genome-wide genetic diversity detected in this study may be a result of either the combined influence of small effect variants or neutral and demographic factors altering the adaptive evolutionary potential of C. gayana populations. Regardless of the processes involved, our results redeem genome-wide genetic diversity as a potentially useful indicator of population adaptive evolutionary potential.
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17
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Li LF, Cushman SA, He YX, Li Y. Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia. HORTICULTURE RESEARCH 2020; 7:130. [PMID: 32821413 PMCID: PMC7395120 DOI: 10.1038/s41438-020-00352-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/24/2020] [Accepted: 05/24/2020] [Indexed: 05/06/2023]
Abstract
Understanding the genetic basis underlying the local adaptation of nonmodel species is a fundamental goal in evolutionary biology. In this study, we explored the genetic mechanisms of the local adaptation of Forsythia suspensa using genome sequence and population genomics data obtained from specific-locus amplified fragment sequencing. We assembled a high-quality reference genome of weeping forsythia (Scaffold N50 = 7.3 Mb) using ultralong Nanopore reads. Then, genome-wide comparative analysis was performed for 15 natural populations of weeping forsythia across its current distribution range. Our results revealed that candidate genes associated with local adaptation are functionally correlated with solar radiation, temperature and water variables across heterogeneous environmental scenarios. In particular, solar radiation during the period of fruit development and seed drying after ripening, cold, and drought significantly contributed to the adaptive differentiation of F. suspensa. Natural selection exerted by environmental factors contributed substantially to the population genetic structure of F. suspensa. Our results supported the hypothesis that adaptive differentiation should be highly pronounced in the genes involved in signal crosstalk between different environmental variables. Our population genomics study of F. suspensa provides insights into the fundamental genetic mechanisms of the local adaptation of plant species to climatic gradients.
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Affiliation(s)
- Lin-Feng Li
- Innovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, Zhengzhou, China
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Samuel A. Cushman
- U.S. Forest Service, Rocky Mountain Research Station, 2500 S. Pine Knoll Dr., Flagstaff, Arizona USA
| | - Yan-Xia He
- School of Life Sciences, Henan University, Kaifeng, China
| | - Yong Li
- Innovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, Zhengzhou, China
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18
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Perrier C, Rougemont Q, Charmantier A. Demographic history and genomics of local adaptation in blue tit populations. Evol Appl 2020; 13:1145-1165. [PMID: 32684952 PMCID: PMC7359843 DOI: 10.1111/eva.13035] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 05/11/2020] [Accepted: 05/18/2020] [Indexed: 12/24/2022] Open
Abstract
Understanding the genomic processes underlying local adaptation is a central aim of modern evolutionary biology. This task requires identifying footprints of local selection but also estimating spatio‐temporal variations in population demography and variations in recombination rate and in diversity along the genome. Here, we investigated these parameters in blue tit populations inhabiting deciduous versus evergreen forests, and insular versus mainland areas, in the context of a previously described strong phenotypic differentiation. Neighboring population pairs of deciduous and evergreen habitats were weakly genetically differentiated (FST = 0.003 on average), nevertheless with a statistically significant effect of habitat type on the overall genetic structure. This low differentiation was consistent with the strong and long‐lasting gene flow between populations inferred by demographic modeling. In turn, insular and mainland populations were moderately differentiated (FST = 0.08 on average), in line with the inference of moderate ancestral migration, followed by isolation since the end of the last glaciation. Effective population sizes were large, yet smaller on the island than on the mainland. Weak and nonparallel footprints of divergent selection between deciduous and evergreen populations were consistent with their high connectivity and the probable polygenic nature of local adaptation in these habitats. In turn, stronger footprints of divergent selection were identified between long isolated insular versus mainland birds and were more often found in regions of low recombination, as expected from theory. Lastly, we identified a genomic inversion on the mainland, spanning 2.8 Mb. These results provide insights into the demographic history and genetic architecture of local adaptation in blue tit populations at multiple geographic scales.
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Affiliation(s)
- Charles Perrier
- Centre d'Ecologie Fonctionnelle et Evolutive UMR 5175 CNRS Univ Montpellier CNRS EPHE IRD Univ Paul Valéry Montpellier 3 Montpellier France.,Centre de Biologie pour la Gestion des Populations UMR CBGP INRAE CIRAD IRD Montpellier SupAgro Univ Montpellier Montpellier France
| | - Quentin Rougemont
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Anne Charmantier
- Centre d'Ecologie Fonctionnelle et Evolutive UMR 5175 CNRS Univ Montpellier CNRS EPHE IRD Univ Paul Valéry Montpellier 3 Montpellier France
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19
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Fietz K, Trofimenko E, Guerin PE, Arnal V, Torres-Oliva M, Lobréaux S, Pérez-Ruzafa A, Manel S, Puebla O. New genomic resources for three exploited Mediterranean fishes. Genomics 2020; 112:4297-4303. [PMID: 32629099 DOI: 10.1016/j.ygeno.2020.06.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 06/22/2020] [Accepted: 06/24/2020] [Indexed: 10/23/2022]
Abstract
Extensive fishing has led to fish stock declines throughout the last decades. While clear stock identification is required for designing management schemes, stock delineation is problematic due to generally low levels of genetic structure in marine species. The development of genomic resources can help to solve this issue. Here, we present the first mitochondrial and nuclear draft genome assemblies of three economically important Mediterranean fishes, the white seabream, the striped red mullet, and the comber. The assemblies are between 613 and 785 Mbp long and contain between 27,222 and 32,375 predicted genes. They were used as references to map Restriction-site Associated DNA markers, which were developed with a single-digest approach. This approach provided between 15,710 and 21,101 Single Nucleotide Polymorphism markers per species. These genomic resources will allow uncovering subtle genetic structure, identifying stocks, assigning catches to populations and assessing connectivity. Furthermore, the annotated genomes will help to characterize adaptive divergence.
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Affiliation(s)
- Katharina Fietz
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Evolutionary Ecology of Marine Fishes, Düsternbrooker Weg 20, 24105 Kiel, Germany
| | - Elena Trofimenko
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Evolutionary Ecology of Marine Fishes, Düsternbrooker Weg 20, 24105 Kiel, Germany
| | - Pierre-Edouard Guerin
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - Véronique Arnal
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - Montserrat Torres-Oliva
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Stéphane Lobréaux
- Laboratoire d'Ecologie Alpine, CNRS, Université Grenoble-Alpes, Grenoble, France
| | - Angel Pérez-Ruzafa
- Departmento de Ecología e Hidrología, Facultad de Biología, Campus de Espinardo, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, 30100 Murcia, Spain
| | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.
| | - Oscar Puebla
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Evolutionary Ecology of Marine Fishes, Düsternbrooker Weg 20, 24105 Kiel, Germany; Leibniz Centre for Tropical Marine Research, Fahrenheitstrasse 6, 28359 Bremen, Germany
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20
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Vanhove M, Sicard A, Ezennia J, Leviten N, Almeida RPP. Population structure and adaptation of a bacterial pathogen in California grapevines. Environ Microbiol 2020; 22:2625-2638. [PMID: 32114707 DOI: 10.1111/1462-2920.14965] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/03/2020] [Accepted: 02/26/2020] [Indexed: 12/30/2022]
Abstract
Xylella fastidiosa subsp. fastidiosa causes Pierce's disease of grapevine (PD) and has been present in California for over a century. A singly introduced genotype spread across the state causing large outbreaks and damaging the grapevine industry. This study presents 122 X. fastidiosa subsp. fastidiosa genomes from symptomatic grapevines, and explores pathogen genetic diversity associated with PD in California. A total of 5218 single-nucleotide polymorphisms (SNPs) were found in the dataset. Strong population genetic structure was found; isolates split into five genetic clusters divided into two lineages. The core/soft-core genome constituted 41.2% of the total genome, emphasizing the high genetic variability of X. fastidiosa genomes. An ecological niche model was performed to estimate the environmental niche of the pathogen within California and to identify key climatic factors involved in dispersal. A landscape genomic approach was undertaken aiming to link local adaptation to climatic factors. A total of 18 non-synonymous polymorphisms found to be under selective pressures were correlated with at least one environmental variable highlighting the role of temperature, precipitation and elevation on X. fastidiosa adaptation to grapevines in California. Finally, the contribution to virulence of three of the genes under positive selective pressure and of one recombinant gene was studied by reverse genetics.
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Affiliation(s)
- Mathieu Vanhove
- Department of Environmental Science, Policy and Management, University of California-Berkeley, Berkeley, CA, 94720
| | - Anne Sicard
- Department of Environmental Science, Policy and Management, University of California-Berkeley, Berkeley, CA, 94720
| | - Jeffery Ezennia
- Department of Environmental Science, Policy and Management, University of California-Berkeley, Berkeley, CA, 94720
| | - Nina Leviten
- Department of Environmental Science, Policy and Management, University of California-Berkeley, Berkeley, CA, 94720
| | - Rodrigo P P Almeida
- Department of Environmental Science, Policy and Management, University of California-Berkeley, Berkeley, CA, 94720
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Knowledge status and sampling strategies to maximize cost-benefit ratio of studies in landscape genomics of wild plants. Sci Rep 2020; 10:3706. [PMID: 32111897 PMCID: PMC7048820 DOI: 10.1038/s41598-020-60788-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 02/11/2020] [Indexed: 11/27/2022] Open
Abstract
To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome–environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
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Novak BJ, Fraser D, Maloney TH. Transforming Ocean Conservation: Applying the Genetic Rescue Toolkit. Genes (Basel) 2020; 11:E209. [PMID: 32085502 PMCID: PMC7074136 DOI: 10.3390/genes11020209] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 01/25/2020] [Accepted: 02/13/2020] [Indexed: 01/21/2023] Open
Abstract
Although oceans provide critical ecosystem services and support the most abundant populations on earth, the extent of damage impacting oceans and the diversity of strategies to protect them is disconcertingly, and disproportionately, understudied. While conventional modes of conservation have made strides in mitigating impacts of human activities on ocean ecosystems, those strategies alone cannot completely stem the tide of mounting threats. Biotechnology and genomic research should be harnessed and developed within conservation frameworks to foster the persistence of viable ocean ecosystems. This document distills the results of a targeted survey, the Ocean Genomics Horizon Scan, which assessed opportunities to bring novel genetic rescue tools to marine conservation. From this Horizon Scan, we have identified how novel approaches from synthetic biology and genomics can alleviate major marine threats. While ethical frameworks for biotechnological interventions are necessary for effective and responsible practice, here we primarily assessed technological and social factors directly affecting technical development and deployment of biotechnology interventions for marine conservation. Genetic insight can greatly enhance established conservation methods, but the severity of many threats may demand genomic intervention. While intervention is controversial, for many marine areas the cost of inaction is too high to allow controversy to be a barrier to conserving viable ecosystems. Here, we offer a set of recommendations for engagement and program development to deploy genetic rescue safely and responsibly.
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Affiliation(s)
- Ben J. Novak
- Revive & Restore, 1505 Bridgeway #203, Sausalito, CA 94965, USA;
| | - Devaughn Fraser
- Genetics Research Lab, California Department of Fish and Wildlife, Sacramento, CA 95834, USA;
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23
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Manel S. Smoothing technical and computational obstacles in gene-environment associations. Mol Ecol Resour 2019; 19:1385-1387. [PMID: 31657533 DOI: 10.1111/1755-0998.13076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 08/08/2019] [Accepted: 08/23/2019] [Indexed: 12/01/2022]
Affiliation(s)
- Stéphanie Manel
- CEFE UMR 5175, CNRS, PSL Research University, Montpellier, France
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Grummer JA, Beheregaray LB, Bernatchez L, Hand BK, Luikart G, Narum SR, Taylor EB. Aquatic Landscape Genomics and Environmental Effects on Genetic Variation. Trends Ecol Evol 2019; 34:641-654. [DOI: 10.1016/j.tree.2019.02.013] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/15/2019] [Accepted: 02/22/2019] [Indexed: 01/17/2023]
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25
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Borelli G, Fiamenghi MB, dos Santos LV, Carazzolle MF, Pereira GAG, José J. Positive Selection Evidence in Xylose-Related Genes Suggests Methylglyoxal Reductase as a Target for the Improvement of Yeasts' Fermentation in Industry. Genome Biol Evol 2019; 11:1923-1938. [PMID: 31070742 PMCID: PMC6637916 DOI: 10.1093/gbe/evz036] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2019] [Indexed: 12/12/2022] Open
Abstract
Xylose assimilation and fermentation are important traits for second generation ethanol production. However, some genomic features associated with this pentose sugar's metabolism remain unknown in yeasts. Comparative genomics studies have led to important insights in this field, but we are still far from completely understanding endogenous yeasts' xylose metabolism. In this work, we carried out a deep evolutionary analysis suited for comparative genomics of xylose-consuming yeasts, searching for of positive selection on genes associated with glucose and xylose metabolism in the xylose-fermenters' clade. Our investigation detected positive selection fingerprints at this clade not only among sequences of important genes for xylose metabolism, such as xylose reductase and xylitol dehydrogenase, but also in genes expected to undergo neutral evolution, such as the glycolytic gene phosphoglycerate mutase. In addition, we present expansion, positive selection marks, and convergence as evidence supporting the hypothesis that natural selection is shaping the evolution of the little studied methylglyoxal reductases. We propose a metabolic model suggesting that selected codons among these proteins caused a putative change in cofactor preference from NADPH to NADH that alleviates cellular redox imbalance. These findings provide a wider look into pentose metabolism of yeasts and add this previously overlooked piece into the intricate puzzle of oxidative imbalance. Although being extensively discussed in evolutionary works the awareness of selection patterns is recent in biotechnology researches, rendering insights to surpass the reached status quo in many of its subareas.
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Affiliation(s)
- Guilherme Borelli
- Genomics and bioEnergy Laboratory (LGE), Institute of Biology, Unicamp, São Paulo, Campinas, Brazil
| | - Mateus Bernabe Fiamenghi
- Genomics and bioEnergy Laboratory (LGE), Institute of Biology, Unicamp, São Paulo, Campinas, Brazil
| | - Leandro Vieira dos Santos
- Brazilian Bioethanol Science and Technology Laboratory (CTBE), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Sao Paulo, Brazil
| | - Marcelo Falsarella Carazzolle
- Genomics and bioEnergy Laboratory (LGE), Institute of Biology, Unicamp, São Paulo, Campinas, Brazil
- Brazilian Bioethanol Science and Technology Laboratory (CTBE), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Sao Paulo, Brazil
| | - Gonçalo Amarante Guimarães Pereira
- Genomics and bioEnergy Laboratory (LGE), Institute of Biology, Unicamp, São Paulo, Campinas, Brazil
- Brazilian Bioethanol Science and Technology Laboratory (CTBE), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Sao Paulo, Brazil
| | - Juliana José
- Genomics and bioEnergy Laboratory (LGE), Institute of Biology, Unicamp, São Paulo, Campinas, Brazil
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Amish SJ, Ali O, Peacock M, Miller M, Robinson M, Smith S, Luikart G, Neville H. Assessing thermal adaptation using family‐based association and
F
ST
outlier tests in a threatened trout species. Mol Ecol 2019; 28:2573-2593. [DOI: 10.1111/mec.15100] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 03/15/2019] [Accepted: 04/01/2019] [Indexed: 12/31/2022]
Affiliation(s)
- Stephen J. Amish
- Conservation Genomics Group, Division of Biological Sciences University of Montana Missoula Montana
- Flathead Biological Station University of Montana Polson Montana
| | - Omar Ali
- Department of Animal Science University of California Davis California
| | - Mary Peacock
- Department of Biology University of Nevada Reno Nevada
| | - Michael Miller
- Department of Animal Science University of California Davis California
| | | | - Seth Smith
- Flathead Biological Station University of Montana Polson Montana
| | - Gordon Luikart
- Conservation Genomics Group, Division of Biological Sciences University of Montana Missoula Montana
- Flathead Biological Station University of Montana Polson Montana
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Xuereb A, D’Aloia CC, Daigle RM, Andrello M, Dalongeville A, Manel S, Mouillot D, Guichard F, Côté IM, Curtis JMR, Bernatchez L, Fortin MJ. Marine Conservation and Marine Protected Areas. POPULATION GENOMICS 2019. [DOI: 10.1007/13836_2018_63] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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28
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Xuereb A, Kimber CM, Curtis JMR, Bernatchez L, Fortin M. Putatively adaptive genetic variation in the giant California sea cucumber (
Parastichopus californicus
) as revealed by environmental association analysis of restriction‐site associated DNA sequencing data. Mol Ecol 2018; 27:5035-5048. [DOI: 10.1111/mec.14942] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 10/17/2018] [Accepted: 10/26/2018] [Indexed: 12/22/2022]
Affiliation(s)
- Amanda Xuereb
- Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada
| | - Christopher M. Kimber
- AVIAN Behavioural Genomics and Physiology Group, Department of Physics, Chemistry, and Biology (IFM) Linköping University Linköping Sweden
| | - Janelle M. R. Curtis
- Pacific Biological Station, Ecosystem Sciences Division Fisheries and Oceans Canada Nanaimo British Columbia Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes Université Laval Québec Québec Canada
| | - Marie‐Josée Fortin
- Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada
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29
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Pfeiffer VW, Ford BM, Housset J, McCombs A, Blanco‐Pastor JL, Gouin N, Manel S, Bertin A. Partitioning genetic and species diversity refines our understanding of species-genetic diversity relationships. Ecol Evol 2018; 8:12351-12364. [PMID: 30619550 PMCID: PMC6308885 DOI: 10.1002/ece3.4530] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 07/27/2018] [Accepted: 08/03/2018] [Indexed: 12/24/2022] Open
Abstract
Disentangling the origin of species-genetic diversity correlations (SGDCs) is a challenging task that provides insight into the way that neutral and adaptive processes influence diversity at multiple levels. Genetic and species diversity are comprised by components that respond differently to the same ecological processes. Thus, it can be useful to partition species and genetic diversity into their different components to infer the mechanisms behind SGDCs. In this study, we applied such an approach using a high-elevation Andean wetland system, where previous evidence identified neutral processes as major determinants of the strong and positive covariation between plant species richness and AFLP genetic diversity of the common sedge Carex gayana. To tease apart putative neutral and non-neutral genetic variation of C. gayana, we identified loci putatively under selection from a dataset of 1,709 SNPs produced using restriction site-associated DNA sequencing (RAD-seq). Significant and positive relationships between local estimates of genetic and species diversities (α-SGDCs) were only found with the putatively neutral loci datasets and with species richness, confirming that neutral processes were primarily driving the correlations and that the involved processes differentially influenced local species diversity components (i.e., richness and evenness). In contrast, SGDCs based on genetic and community dissimilarities (β-SGDCs) were only significant with the putative non-neutral datasets. This suggests that selective processes influencing C. gayana genetic diversity were involved in the detected correlations. Together, our results demonstrate that analyzing distinct components of genetic and species diversity simultaneously is useful to determine the mechanisms behind species-genetic diversity relationships.
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Affiliation(s)
- Vera Wilder Pfeiffer
- Nelson Institute for Environmental ScienceUniversity of Wisconsin – MadisonMadisonWisconsin
| | - Brett Michael Ford
- Department of BiologyUniversity of British ColumbiaKelownaBritish ColumbiaCanada
| | - Johann Housset
- Alcina ForetsMontpellierFrance
- Centre d’étude de la forêtUniversité du Québec à MontréalMontréalQuebecCanada
| | - Audrey McCombs
- Department of Statistics, Ecology and Evolutionary Biology ProgramIowa State UniversityAmesIowa
| | | | - Nicolas Gouin
- Departamento de BiologíaFacultad de CienciasUniversidad de La SerenaLa SerenaChile
- Centro de Estudios Avanzados en Zonas ÁridasLa SerenaChile
- Instituto de Investigación Multidisciplinar en Ciencia y TecnologíaUniversidad de La SerenaLa SerenaChile
| | - Stéphanie Manel
- EPHEPSL Research UniversityCNRSUM, SupAgro, IRDINRAUMR 5175 CEFEMontpellierFrance
| | - Angéline Bertin
- Departamento de BiologíaFacultad de CienciasUniversidad de La SerenaLa SerenaChile
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Improving conservation policy with genomics: a guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists. CONSERV GENET 2018. [DOI: 10.1007/s10592-018-1096-1] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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31
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Flanagan SP, Forester BR, Latch EK, Aitken SN, Hoban S. Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation. Evol Appl 2018; 11:1035-1052. [PMID: 30026796 PMCID: PMC6050180 DOI: 10.1111/eva.12569] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 10/20/2017] [Indexed: 12/14/2022] Open
Abstract
Identifying and monitoring locally adaptive genetic variation can have direct utility for conserving species at risk, especially when management may include actions such as translocations for restoration, genetic rescue, or assisted gene flow. However, genomic studies of local adaptation require careful planning to be successful, and in some cases may not be a worthwhile use of resources. Here, we offer an adaptive management framework to help conservation biologists and managers decide when genomics is likely to be effective in detecting local adaptation, and how to plan assessment and monitoring of adaptive variation to address conservation objectives. Studies of adaptive variation using genomic tools will inform conservation actions in many cases, including applications such as assisted gene flow and identifying conservation units. In others, assessing genetic diversity, inbreeding, and demographics using selectively neutral genetic markers may be most useful. And in some cases, local adaptation may be assessed more efficiently using alternative approaches such as common garden experiments. Here, we identify key considerations of genomics studies of locally adaptive variation, provide a road map for successful collaborations with genomics experts including key issues for study design and data analysis, and offer guidelines for interpreting and using results from genomic assessments to inform monitoring programs and conservation actions.
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Affiliation(s)
- Sarah P. Flanagan
- National Institute for Mathematical and Biological SynthesisUniversity of TennesseeKnoxvilleTNUSA
| | - Brenna R. Forester
- Duke University, Nicholas School of the EnvironmentDurhamNCUSA
- Present address:
Department of BiologyColorado State UniversityFort CollinsCOUSA
| | - Emily K. Latch
- Department of Biological SciencesUniversity of Wisconsin‐MilwaukeeMilwaukeeWIUSA
| | - Sally N. Aitken
- Faculty of ForestryUniversity of British ColumbiaVancouverBCCanada
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Henriques D, Wallberg A, Chávez-Galarza J, Johnston JS, Webster MT, Pinto MA. Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula. Sci Rep 2018; 8:11145. [PMID: 30042407 PMCID: PMC6057950 DOI: 10.1038/s41598-018-29469-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 07/06/2018] [Indexed: 12/25/2022] Open
Abstract
The availability of powerful high-throughput genomic tools, combined with genome scans, has helped identifying genes and genetic changes responsible for environmental adaptation in many organisms, including the honeybee. Here, we resequenced 87 whole genomes of the honeybee native to Iberia and used conceptually different selection methods (Samβada, LFMM, PCAdapt, iHs) together with in sillico protein modelling to search for selection footprints along environmental gradients. We found 670 outlier SNPs, most of which associated with precipitation, longitude and latitude. Over 88.7% SNPs laid outside exons and there was a significant enrichment in regions adjacent to exons and UTRs. Enrichment was also detected in exonic regions. Furthermore, in silico protein modelling suggests that several non-synonymous SNPs are likely direct targets of selection, as they lead to amino acid replacements in functionally important sites of proteins. We identified genomic signatures of local adaptation in 140 genes, many of which are putatively implicated in fitness-related functions such as reproduction, immunity, olfaction, lipid biosynthesis and circadian clock. Our genome scan suggests that local adaptation in the Iberian honeybee involves variations in regions that might alter patterns of gene expression and in protein-coding genes, which are promising candidates to underpin adaptive change in the honeybee.
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Affiliation(s)
- Dora Henriques
- Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, Campus de Sta. Apolónia, 5300-253, Bragança, Portugal
- Centre of Molecular and Environmental Biology (CBMA), University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, SE -751 23, Uppsala, Sweden
| | - Julio Chávez-Galarza
- Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, Campus de Sta. Apolónia, 5300-253, Bragança, Portugal
- Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, La Molina, Lima, Peru
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
| | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, SE -751 23, Uppsala, Sweden
| | - M Alice Pinto
- Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, Campus de Sta. Apolónia, 5300-253, Bragança, Portugal.
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Guerrero J, Andrello M, Burgarella C, Manel S. Soil environment is a key driver of adaptation in Medicago truncatula: new insights from landscape genomics. THE NEW PHYTOLOGIST 2018; 219:378-390. [PMID: 29696659 DOI: 10.1111/nph.15171] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 03/14/2018] [Indexed: 05/22/2023]
Abstract
Spatial differences in environmental selective pressures interact with the genomes of organisms, ultimately leading to local adaptation. Landscape genomics is an emergent research area that uncovers genome-environment associations, thus allowing researchers to identify candidate loci for adaptation to specific environmental variables. In the present study, we used latent factor mixed models (LFMMs) and Moran spectral outlier detection/randomization (MSOD-MSR) to identify candidate loci for adaptation to 10 environmental variables (climatic, soil and atmospheric) among 43 515 single nucleotide polymorphisms (SNPs) from 202 accessions of the model legume Medicago truncatula. Soil variables were associated with a large number of candidate loci identified through both LFMMs and MSOD-MSR. Genes tagged by candidate loci associated with drought and salinity are involved in the response to biotic and abiotic stresses, while those tagged by candidates associated with soil nitrogen and atmospheric nitrogen, participate in the legume-rhizobia symbiosis. Candidate SNPs identified through both LFMMs and MSOD-MSR explained up to 56% of variance in flowering traits. Our findings highlight the importance of soil in driving adaptation in the system and elucidate the basis of evolutionary potential of M. truncatula to respond to global climate change and anthropogenic disruption of the nitrogen cycle.
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Affiliation(s)
- Jimena Guerrero
- CEFE-CNRS, Centre D'Ecologie Fonctionelle et Evolutive, Route de Mende, 34090, Montpellier, France
| | - Marco Andrello
- CEFE-CNRS, Centre D'Ecologie Fonctionelle et Evolutive, Route de Mende, 34090, Montpellier, France
| | - Concetta Burgarella
- UMR DIADE Institut de Recherche pour le Developpement (IRD), Centre de Montpellier, BP 64501, Montpellier Cedex 5, France
- UMR AGAP Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD), Avenue Agropolis, 34398, Montpellier, France
| | - Stephanie Manel
- CEFE-CNRS, Centre D'Ecologie Fonctionelle et Evolutive, Route de Mende, 34090, Montpellier, France
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Manel S, Andrello M, Henry K, Verdelet D, Darracq A, Guerin PE, Desprez B, Devaux P. Predicting genotype environmental range from genome-environment associations. Mol Ecol 2018; 27:2823-2833. [DOI: 10.1111/mec.14723] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 04/12/2018] [Accepted: 05/02/2018] [Indexed: 01/04/2023]
Affiliation(s)
- Stéphanie Manel
- EPHE; PSL Research University; CNRS, UM, SupAgro, IND, INRA; UMR 5175 CEFE; Montpellier France
| | - Marco Andrello
- EPHE; PSL Research University; CNRS, UM, SupAgro, IND, INRA; UMR 5175 CEFE; Montpellier France
| | | | | | | | - Pierre-Edouard Guerin
- EPHE; PSL Research University; CNRS, UM, SupAgro, IND, INRA; UMR 5175 CEFE; Montpellier France
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Ahrens CW, Rymer PD, Stow A, Bragg J, Dillon S, Umbers KDL, Dudaniec RY. The search for loci under selection: trends, biases and progress. Mol Ecol 2018. [PMID: 29524276 DOI: 10.1111/mec.14549] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Detecting genetic variants under selection using FST outlier analysis (OA) and environmental association analyses (EAAs) are popular approaches that provide insight into the genetic basis of local adaptation. Despite the frequent use of OA and EAA approaches and their increasing attractiveness for detecting signatures of selection, their application to field-based empirical data have not been synthesized. Here, we review 66 empirical studies that use Single Nucleotide Polymorphisms (SNPs) in OA and EAA. We report trends and biases across biological systems, sequencing methods, approaches, parameters, environmental variables and their influence on detecting signatures of selection. We found striking variability in both the use and reporting of environmental data and statistical parameters. For example, linkage disequilibrium among SNPs and numbers of unique SNP associations identified with EAA were rarely reported. The proportion of putatively adaptive SNPs detected varied widely among studies, and decreased with the number of SNPs analysed. We found that genomic sampling effort had a greater impact than biological sampling effort on the proportion of identified SNPs under selection. OA identified a higher proportion of outliers when more individuals were sampled, but this was not the case for EAA. To facilitate repeatability, interpretation and synthesis of studies detecting selection, we recommend that future studies consistently report geographical coordinates, environmental data, model parameters, linkage disequilibrium, and measures of genetic structure. Identifying standards for how OA and EAA studies are designed and reported will aid future transparency and comparability of SNP-based selection studies and help to progress landscape and evolutionary genomics.
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Affiliation(s)
- Collin W Ahrens
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Paul D Rymer
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Adam Stow
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Jason Bragg
- National Herbarium of New South Wales, The Royal Botanic Gardens and Domain Trust, Sydney, NSW, Australia
| | - Shannon Dillon
- Diversity and Adaptation, CSIRO Agriculture and Food, Canberra, ACT, Australia
| | - Kate D L Umbers
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia.,School of Science and Health, Western Sydney University, Richmond, NSW, Australia
| | - Rachael Y Dudaniec
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
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Dalongeville A, Benestan L, Mouillot D, Lobreaux S, Manel S. Combining six genome scan methods to detect candidate genes to salinity in the Mediterranean striped red mullet (Mullus surmuletus). BMC Genomics 2018; 19:217. [PMID: 29580201 PMCID: PMC5870821 DOI: 10.1186/s12864-018-4579-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 03/02/2018] [Indexed: 12/24/2022] Open
Abstract
Background Adaptive genomics may help predicting how a species will respond to future environmental changes. Genomic signatures of local adaptation in marine organisms are often driven by environmental selective agents impacting the physiology of organisms. With one of the highest salinity level, the Mediterranean Sea provides an excellent model to investigate adaptive genomic divergence underlying salinity adaptation. In the present study, we combined six genome scan methods to detect potential genomic signal of selection in the striped red mullet (Mullus surmuletus) populations distributed across a wide salinity gradient. We then blasted these outlier sequences on published fish genomic resources in order to identify relevant potential candidate genes for salinity adaptation in this species. Results Altogether, the six genome scan methods found 173 outliers out of 1153 SNPs. Using a blast approach, we discovered four candidate SNPs belonging to three genes potentially implicated in adaptation of M. surmuletus to salinity. The allele frequency at one of these SNPs significantly increases with salinity independently from the effect of longitude. The gene associated to this SNP, SOCS2, encodes for an inhibitor of cytokine and has previously been shown to be expressed under osmotic pressure in other marine organisms. Additionally, our results showed that genome scan methods not correcting for spatial structure can still be an efficient strategy to detect potential footprints of selection, when the spatial and environmental variation are confounded, and then, correcting for spatial structure in a second step represents a conservative method. Conclusion The present outcomes bring evidences of potential genomic footprint of selection, which suggest an adaptive response of M. surmuletus to salinity conditions in the Mediterranean Sea. Additional genomic data such as sequencing of a full-genome and transcriptome analyses of gene expression would provide new insights regarding the possibility that some striped red mullet populations are locally adapted to their saline environment. Electronic supplementary material The online version of this article (10.1186/s12864-018-4579-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alicia Dalongeville
- CEFE UMR 5175, EPHE, PSL Research University, CNRS, UM, SupAgro, IRD, INRA, 34293, Montpellier, France. .,MARBEC UMR 9190, CNRS - IRD - Université Montpellier - Ifremer, 34095, Montpellier, France.
| | - Laura Benestan
- Departement de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Canada
| | - David Mouillot
- MARBEC UMR 9190, CNRS - IRD - Université Montpellier - Ifremer, 34095, Montpellier, France
| | - Stephane Lobreaux
- Laboratoire d'Ecologie Alpine, UMR-CNRS 5553, Université Joseph Fourier, BP53 38041, Grenoble, France
| | - Stéphanie Manel
- CEFE UMR 5175, EPHE, PSL Research University, CNRS, UM, SupAgro, IRD, INRA, 34293, Montpellier, France
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37
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Gschloessl B, Dorkeld F, Berges H, Beydon G, Bouchez O, Branco M, Bretaudeau A, Burban C, Dubois E, Gauthier P, Lhuillier E, Nichols J, Nidelet S, Rocha S, Sauné L, Streiff R, Gautier M, Kerdelhué C. Draft genome and reference transcriptomic resources for the urticating pine defoliator Thaumetopoea pityocampa (Lepidoptera: Notodontidae). Mol Ecol Resour 2018; 18:602-619. [PMID: 29352511 DOI: 10.1111/1755-0998.12756] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 12/23/2017] [Accepted: 01/03/2018] [Indexed: 12/15/2022]
Abstract
The pine processionary moth Thaumetopoea pityocampa (Lepidoptera: Notodontidae) is the main pine defoliator in the Mediterranean region. Its urticating larvae cause severe human and animal health concerns in the invaded areas. This species shows a high phenotypic variability for various traits, such as phenology, fecundity and tolerance to extreme temperatures. This study presents the construction and analysis of extensive genomic and transcriptomic resources, which are an obligate prerequisite to understand their underlying genetic architecture. Using a well-studied population from Portugal with peculiar phenological characteristics, the karyotype was first determined and a first draft genome of 537 Mb total length was assembled into 68,292 scaffolds (N50 = 164 kb). From this genome assembly, 29,415 coding genes were predicted. To circumvent some limitations for fine-scale physical mapping of genomic regions of interest, a 3X coverage BAC library was also developed. In particular, 11 BACs from this library were individually sequenced to assess the assembly quality. Additionally, de novo transcriptomic resources were generated from various developmental stages sequenced with HiSeq and MiSeq Illumina technologies. The reads were de novo assembled into 62,376 and 63,175 transcripts, respectively. Then, a robust subset of the genome-predicted coding genes, the de novo transcriptome assemblies and previously published 454/Sanger data were clustered to obtain a high-quality and comprehensive reference transcriptome consisting of 29,701 bona fide unigenes. These sequences covered 99% of the cegma and 88% of the busco highly conserved eukaryotic genes and 84% of the busco arthropod gene set. Moreover, 90% of these transcripts could be localized on the draft genome. The described information is available via a genome annotation portal (http://bipaa.genouest.org/sp/thaumetopoea_pityocampa/).
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Affiliation(s)
- B Gschloessl
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - F Dorkeld
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - H Berges
- INRA-CNRGV, Castanet Tolosan Cedex, France
| | - G Beydon
- INRA-CNRGV, Castanet Tolosan Cedex, France
| | - O Bouchez
- INRA, US 1426, GeT-PlaGe, Genotoul, INRA Auzeville, Castanet Tolosan Cedex, France
| | - M Branco
- Forest Research Center (CEF), Instituto Superior de Agronomia (ISA), University of Lisbon (ULisboa), Lisboa, Portugal
| | - A Bretaudeau
- INRA, UMR Institut de Génétique, Environnement et Protection des Plantes (IGEPP), BioInformatics Platform for Agroecosystems Arthropods (BIPAA), Rennes, France.,INRIA, IRISA, GenOuest Core Facility, Rennes, France
| | - C Burban
- BIOGECO, INRA, Univ. Bordeaux, Cestas, France
| | - E Dubois
- Plateforme MGX-Montpellier GenomiX, c/o Institut de Génomique Fonctionnelle IGF-sud, UMR 5203 CNRS-U 661 INSERM-Université de Montpellier, Montpellier Cedex 05, France
| | - P Gauthier
- CBGP, IRD, CIRAD, INRA, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - E Lhuillier
- INRA, US 1426, GeT-PlaGe, Genotoul, INRA Auzeville, Castanet Tolosan Cedex, France
| | - J Nichols
- Edinburgh Genomics, Ashworth Laboratories, The University of Edinburgh, Edinburgh, UK
| | - S Nidelet
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France.,Plateforme MGX-Montpellier GenomiX, c/o Institut de Génomique Fonctionnelle IGF-sud, UMR 5203 CNRS-U 661 INSERM-Université de Montpellier, Montpellier Cedex 05, France
| | - S Rocha
- Forest Research Center (CEF), Instituto Superior de Agronomia (ISA), University of Lisbon (ULisboa), Lisboa, Portugal
| | - L Sauné
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - R Streiff
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - M Gautier
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - C Kerdelhué
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
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38
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Armstrong C, Richardson DS, Hipperson H, Horsburgh GJ, Küpper C, Percival‐Alwyn L, Clark M, Burke T, Spurgin LG. Genomic associations with bill length and disease reveal drift and selection across island bird populations. Evol Lett 2018; 2:22-36. [PMID: 30283662 PMCID: PMC6121843 DOI: 10.1002/evl3.38] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 12/19/2017] [Accepted: 12/21/2017] [Indexed: 12/15/2022] Open
Abstract
Island species provide excellent models for investigating how selection and drift operate in wild populations, and for determining how these processes act to influence local adaptation and speciation. Here, we examine the role of selection and drift in shaping genomic and phenotypic variation across recently separated populations of Berthelot's pipit (Anthus berthelotii), a passerine bird endemic to three archipelagos in the Atlantic. We first characterized genetic diversity and population structuring that supported previous inferences of a history of recent colonizations and bottlenecks. We then tested for regions of the genome associated with the ecologically important traits of bill length and malaria infection, both of which vary substantially across populations in this species. We identified a SNP associated with variation in bill length among individuals, islands, and archipelagos; patterns of variation at this SNP suggest that both phenotypic and genotypic variation in bill length is largely shaped by founder effects. Malaria was associated with SNPs near/within genes involved in the immune response, but this relationship was not consistent among archipelagos, supporting the view that disease resistance is complex and rapidly evolving. Although we found little evidence for divergent selection at candidate loci for bill length and malaria resistance, genome scan analyses pointed to several genes related to immunity and metabolism as having important roles in divergence and adaptation. Our findings highlight the utility and challenges involved with combining association mapping and population genetic analysis in nonequilibrium populations, to disentangle the effects of drift and selection on shaping genotypes and phenotypes.
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Affiliation(s)
- Claire Armstrong
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
| | - David S. Richardson
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
| | - Helen Hipperson
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Gavin J. Horsburgh
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Clemens Küpper
- Max Planck Institute for Ornithology82319 SeewiesenGermany
| | | | - Matt Clark
- Earlham InstituteNorwich Research ParkNorwich NR4 7UZUnited Kingdom
| | - Terry Burke
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Lewis G. Spurgin
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
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39
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Advancing Understanding of Amphibian Evolution, Ecology, Behavior, and Conservation with Massively Parallel Sequencing. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_61] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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40
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Frachon L, Bartoli C, Carrère S, Bouchez O, Chaubet A, Gautier M, Roby D, Roux F. A Genomic Map of Climate Adaptation in Arabidopsis thaliana at a Micro-Geographic Scale. FRONTIERS IN PLANT SCIENCE 2018; 9:967. [PMID: 30042773 PMCID: PMC6048436 DOI: 10.3389/fpls.2018.00967] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 06/15/2018] [Indexed: 05/21/2023]
Abstract
Understanding the genetic bases underlying climate adaptation is a key element to predict the potential of species to face climate warming. Although substantial climate variation is observed at a micro-geographic scale, most genomic maps of climate adaptation have been established at broader geographical scales. Here, by using a Pool-Seq approach combined with a Bayesian hierarchical model that control for confounding by population structure, we performed a genome-environment association (GEA) analysis to investigate the genetic basis of adaptation to six climate variables in 168 natural populations of Arabidopsis thaliana distributed in south-west of France. Climate variation among the 168 populations represented up to 24% of climate variation among 521 European locations where A. thaliana inhabits. We identified neat and strong peaks of association, with most of the associated SNPs being significantly enriched in likely functional variants and/or in the extreme tail of genetic differentiation among populations. Furthermore, genes involved in transcriptional mechanisms appear predominant in plant functions associated with local climate adaptation. Globally, our results suggest that climate adaptation is an important driver of genomic variation in A. thaliana at a small spatial scale and mainly involves genome-wide changes in fundamental mechanisms of gene regulation. The identification of climate-adaptive genetic loci at a micro-geographic scale also highlights the importance to include within-species genetic diversity in ecological niche models for projecting potential species distributional shifts over short geographic distances.
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Affiliation(s)
- Léa Frachon
- Laboratoire des Interactions Plantes-Microorganismes, Université de Toulouse, Institut National de la Recherche Agronomique, Centre National de la Recherche Scientifique, Castanet-Tolosan, France
- Dipartimento di Biologia, Università degli Studi di Napoli Federico II, Naples, Italy
- Department of Systematic and Evolutionary Botany, University of Zurich, Zürich, Switzerland
| | - Claudia Bartoli
- Laboratoire des Interactions Plantes-Microorganismes, Université de Toulouse, Institut National de la Recherche Agronomique, Centre National de la Recherche Scientifique, Castanet-Tolosan, France
| | - Sébastien Carrère
- Laboratoire des Interactions Plantes-Microorganismes, Université de Toulouse, Institut National de la Recherche Agronomique, Centre National de la Recherche Scientifique, Castanet-Tolosan, France
| | - Olivier Bouchez
- Institut National de la Recherche Agronomique, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, France
| | - Adeline Chaubet
- Institut National de la Recherche Agronomique, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, France
| | - Mathieu Gautier
- Centre de Biologie pour la Gestion des Populations, Institut National de la Recherche Agronomique, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Institut de Recherche pour le Développement, Montpellier SupAgro, Université de Montpellier, Montpellier, France
| | - Dominique Roby
- Laboratoire des Interactions Plantes-Microorganismes, Université de Toulouse, Institut National de la Recherche Agronomique, Centre National de la Recherche Scientifique, Castanet-Tolosan, France
| | - Fabrice Roux
- Laboratoire des Interactions Plantes-Microorganismes, Université de Toulouse, Institut National de la Recherche Agronomique, Centre National de la Recherche Scientifique, Castanet-Tolosan, France
- *Correspondence: Fabrice Roux,
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41
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Fantastic Beasts and How To Sequence Them: Ecological Genomics for Obscure Model Organisms. Trends Genet 2017; 34:121-132. [PMID: 29198378 DOI: 10.1016/j.tig.2017.11.002] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 10/30/2017] [Accepted: 11/07/2017] [Indexed: 01/05/2023]
Abstract
The application of genomic approaches to 'obscure model organisms' (OMOs), meaning species with no prior genomic resources, enables increasingly sophisticated studies of the genomic basis of evolution, acclimatization, and adaptation in real ecological contexts. I consider here ecological questions that can be addressed using OMOs, and indicate optimal sequencing and data-handling solutions for each case. With this I hope to promote the diversity of OMO-based projects that would capitalize on the peculiarities of the natural history of OMOs and could feasibly be completed within the scope of a single PhD thesis.
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42
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Perrier C, Ferchaud AL, Sirois P, Thibault I, Bernatchez L. Do genetic drift and accumulation of deleterious mutations preclude adaptation? Empirical investigation using RADseq in a northern lacustrine fish. Mol Ecol 2017; 26:6317-6335. [PMID: 29024140 DOI: 10.1111/mec.14361] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 09/05/2017] [Accepted: 09/08/2017] [Indexed: 01/01/2023]
Abstract
Understanding genomic signatures of divergent selection underlying long-term adaptation in populations located in heterogeneous environments is a key goal in evolutionary biology. In this study, we investigated neutral, adaptive and deleterious genetic variation using 7,192 SNPs in 31 Lake Trout (Salvelinus namaycush) populations (n = 673) from Québec, Canada. Average genetic diversity was low, weakly shared among lakes, and positively correlated with lake size, indicating a major role for genetic drift subsequent to lake isolation. Putatively deleterious mutations were on average at lower frequencies than the other SNPs, and their abundance relative to the entire polymorphism in each population was positively correlated with inbreeding, suggesting that the effectiveness of purifying selection was negatively correlated with inbreeding, as predicted from theory. Despite evidence for pronounced genetic drift and inbreeding, several outlier loci were associated with temperature and found in or close to genes with biologically relevant functions notably related to heat stress and immune responses. Outcomes of gene-temperature associations were influenced by the inclusion of the most inbred populations, in which allele frequencies deviated the most from model predictions. This result illustrates challenge in identifying gene-environment associations in cases of high genetic drift and restricted gene flow and suggests limited adaptation in populations experiencing higher inbreeding. We discuss the relevance of these findings for the conservation and management, notably regarding stocking and genetic rescue, of Lake Trout populations and other species inhabiting highly fragmented habitats.
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Affiliation(s)
- Charles Perrier
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada.,Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 Campus CNRS, Université de Montpellier, Montpellier Cedex 5, France
| | - Anne-Laure Ferchaud
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Pascal Sirois
- Chaire de Recherche sur les Espèces Aquatiques Exploitées, Laboratoire des Sciences Aquatiques, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Isabel Thibault
- Direction de l'expertise sur la Faune Aquatique, Ministère des Forêts de la Faune et des Parcs du Québec, Québec, QC, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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43
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Wit J, Gilleard JS. Resequencing Helminth Genomes for Population and Genetic Studies. Trends Parasitol 2017; 33:388-399. [DOI: 10.1016/j.pt.2017.01.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/11/2017] [Accepted: 01/12/2017] [Indexed: 10/20/2022]
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44
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Lineage divergence, local adaptation across a biogeographic break, and artificial transport, shape the genetic structure in the ascidian Pyura chilensis. Sci Rep 2017; 7:44559. [PMID: 28300177 PMCID: PMC5353582 DOI: 10.1038/srep44559] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 02/09/2017] [Indexed: 12/15/2022] Open
Abstract
Marine benthic organisms inhabit a heterogeneous environment in which connectivity between populations occurs mainly through dispersive larval stages, while local selective pressures acting on early life history stages lead to non-random mortality, shaping adaptive genetic structure. In order to test the influence of local adaptation and neutral processes in a marine benthic species with low dispersal, in this study we used Genotyping by Sequencing technology to compare the neutral and putatively selected signals (neutral and outlier loci, respectively) in SNPs scattered throughout the genome in six local populations of the commercially exploited ascidian Pyura chilensis along the southeast Pacific coast (24°–42°S). This species is sessile as an adult, has a short-lived larval stage, and may also be dispersed by artificial transport as biofouling. We found that the main signal in neutral loci was a highly divergent lineage present at 39°S, and a subjacent signal that indicated a separation at 30°S (north/south), widely reported in the area. North/south separation was the main signal in outlier loci, and the linage divergence at 39°S was subjacent. We conclude that the geographic structure of the genetic diversity of outlier and neutral loci was established by different strengths of environmental, historical and anthropogenic factors.
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45
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Sunnucks P, Morales HE, Lamb AM, Pavlova A, Greening C. Integrative Approaches for Studying Mitochondrial and Nuclear Genome Co-evolution in Oxidative Phosphorylation. Front Genet 2017; 8:25. [PMID: 28316610 PMCID: PMC5334354 DOI: 10.3389/fgene.2017.00025] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 02/17/2017] [Indexed: 01/24/2023] Open
Abstract
In animals, interactions among gene products of mitochondrial and nuclear genomes (mitonuclear interactions) are of profound fitness, evolutionary, and ecological significance. Most fundamentally, the oxidative phosphorylation (OXPHOS) complexes responsible for cellular bioenergetics are formed by the direct interactions of 13 mitochondrial-encoded and ∼80 nuclear-encoded protein subunits in most animals. It is expected that organisms will develop genomic architecture that facilitates co-adaptation of these mitonuclear interactions and enhances biochemical efficiency of OXPHOS complexes. In this perspective, we present principles and approaches to understanding the co-evolution of these interactions, with a novel focus on how genomic architecture might facilitate it. We advocate that recent interdisciplinary advances assist in the consolidation of links between genotype and phenotype. For example, advances in genomics allow us to unravel signatures of selection in mitochondrial and nuclear OXPHOS genes at population-relevant scales, while newly published complete atomic-resolution structures of the OXPHOS machinery enable more robust predictions of how these genes interact epistatically and co-evolutionarily. We use three case studies to show how integrative approaches have improved the understanding of mitonuclear interactions in OXPHOS, namely those driving high-altitude adaptation in bar-headed geese, allopatric population divergence in Tigriopus californicus copepods, and the genome architecture of nuclear genes coding for mitochondrial functions in the eastern yellow robin.
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Affiliation(s)
- Paul Sunnucks
- School of Biological Sciences, Monash University, ClaytonVIC, Australia
| | - Hernán E. Morales
- School of Biological Sciences, Monash University, ClaytonVIC, Australia
- Department of Marine Sciences, University of GothenburgGothenburg, Sweden
| | - Annika M. Lamb
- School of Biological Sciences, Monash University, ClaytonVIC, Australia
| | - Alexandra Pavlova
- School of Biological Sciences, Monash University, ClaytonVIC, Australia
| | - Chris Greening
- School of Biological Sciences, Monash University, ClaytonVIC, Australia
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46
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Black AN, Seears HA, Hollenbeck CM, Samollow PB. Rapid genetic and morphologic divergence between captive and wild populations of the endangered Leon Springs pupfish, Cyprinodon bovinus. Mol Ecol 2017; 26:2237-2256. [PMID: 28133827 DOI: 10.1111/mec.14028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 12/20/2016] [Accepted: 12/28/2016] [Indexed: 12/17/2022]
Abstract
The Leon Springs pupfish (Cyprinodon bovinus) is an endangered species currently restricted to a single desert spring and a separate captive habitat in southwestern North America. Following establishment of the captive population from wild stock in 1976, the wild population has undergone natural population size fluctuations, intentional culling to purge genetic contamination from an invasive congener (Cyprinodon variegatus) and augmentation/replacement of wild fish from the captive stock. A severe population decline following the most recent introduction of captive fish prompted us to examine whether the captive and wild populations have differentiated during the short time they have been isolated from one another. If so, the development of divergent genetic and/or morphologic traits between populations could contribute to a diminished ability of fish from one location to thrive in the other. Examination of genomewide single nucleotide polymorphisms and morphologic variation revealed no evidence of residual C. variegatus characteristics in contemporary C. bovinus samples. However, significant genetic and morphologic differentiation was detected between the wild and captive populations, some of which might reflect local adaptation. Our results indicate that genetic and physical characteristics can diverge rapidly between isolated subdivisions of managed populations, potentially compromising the value of captive stock for future supplementation efforts. In the case of C. bovinus, our findings underscore the need to periodically inoculate the captive population with wild genetic material to help mitigate genetic, and potentially morphologic, divergence between them and also highlight the utility of parallel morphologic and genomic evaluation to inform conservation management planning.
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Affiliation(s)
- Andrew N Black
- Hatfield Marine Science Center, Coastal Oregon Marine Experiment Station, Oregon State University, 2030 SE Marine Science Drive, Newport, OR, 97365, USA
| | - Heidi A Seears
- Department of Biology, University of Virginia, Gilmer Hall, Charlottesville, VA, 22904, USA
| | - Christopher M Hollenbeck
- Marine Genomics Laboratory, Department of Life Sciences, Texas A&M University, Corpus Christi, TX, 78412, USA
| | - Paul B Samollow
- Department of Veterinary Integrative Biosciences and Program in Genetics, Texas A&M University, College Station, TX, 77843, USA
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47
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Landscape Genomics of Angiosperm Trees: From Historic Roots to Discovering New Branches of Adaptive Evolution. COMPARATIVE AND EVOLUTIONARY GENOMICS OF ANGIOSPERM TREES 2017. [DOI: 10.1007/7397_2016_19] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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48
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Talbot B, Chen TW, Zimmerman S, Joost S, Eckert AJ, Crow TM, Semizer-Cuming D, Seshadri C, Manel S. Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes. J Hered 2016; 108:207-216. [DOI: 10.1093/jhered/esw077] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 10/30/2016] [Indexed: 11/13/2022] Open
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49
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Bertin A, Gouin N, Baumel A, Gianoli E, Serratosa J, Osorio R, Manel S. Genetic variation of loci potentially under selection confounds species-genetic diversity correlations in a fragmented habitat. Mol Ecol 2016; 26:431-443. [PMID: 27862542 DOI: 10.1111/mec.13923] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 10/18/2016] [Accepted: 10/25/2016] [Indexed: 02/04/2023]
Abstract
Positive species-genetic diversity correlations (SGDCs) are often thought to result from the parallel influence of neutral processes on genetic and species diversity. Yet, confounding effects of non-neutral mechanisms have not been explored. Here, we investigate the impact of non-neutral genetic diversity on SGDCs in high Andean wetlands. We compare correlations between plant species diversity and genetic diversity (GD) calculated with and without loci potentially under selection (outlier loci). The study system includes 2188 specimens from five species (three common aquatic macroinvertebrate and two dominant plant species) that were genotyped for 396 amplified fragment length polymorphism loci. We also appraise the importance of neutral processes on SGDCs by investigating the influence of habitat fragmentation features. Significant positive SGDCs were detected for all five species (mean SGDC = 0.52 ± 0.05). While only a few outlier loci were detected in each species, they resulted in significant decreases in GD and in SGDCs. This supports the hypothesis that neutral processes drive species-genetic diversity relationships in high Andean wetlands. Unexpectedly, the effects on genetic diversity GD of the habitat fragmentation characteristics in this study increased with the presence of outlier loci in two species. Overall, our results reveal pitfalls in using habitat features to infer processes driving SGDCs and show that a few loci potentially under selection are enough to cause a significant downward bias in SGDC. Investigating confounding effects of outlier loci thus represents a useful approach to evidence the contribution of neutral processes on species-genetic diversity relationships.
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Affiliation(s)
- Angeline Bertin
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile
| | - Nicolas Gouin
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile.,Centro de Estudios Avanzados en Zonas Áridas, Raúl Bitrán 1305, La Serena, Chile.,Instituto de Investigación Multidisciplinar en Ciencia y Tecnología, Universidad de La Serena, Casilla 554, La Serena, Chile
| | - Alex Baumel
- Aix Marseille Univ, IMBE, UMR CNRS, IRD, Avignon Univ, Technopole Environm Arbois Mediterrane, BP 80, F-13545 Aix En Provence 04, France
| | - Ernesto Gianoli
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile.,Departamento de Botánica, Universidad de Concepción, Casilla 160-C, Concepción, Chile
| | - Juan Serratosa
- Facultad de Ciencias del Mar, Doctorado en Biología y Ecología Aplicada, Universidad Católica del Norte, Larrondo 1281, Coquimbo, Chile
| | - Rodomiro Osorio
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile
| | - Stephanie Manel
- CNRS, UM, SupAgro, IRD, INRA, UMR 5175 CEFE, EPHE, PSL Research University, F-34293, Montpellier, France
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50
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Nichols KM, Kozfkay CC, Narum SR. Genomic signatures among Oncorhynchus nerka ecotypes to inform conservation and management of endangered Sockeye Salmon. Evol Appl 2016; 9:1285-1300. [PMID: 27877206 PMCID: PMC5108219 DOI: 10.1111/eva.12412] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 07/25/2016] [Indexed: 01/04/2023] Open
Abstract
Conservation of life history variation is an important consideration for many species with trade-offs in migratory characteristics. Many salmonid species exhibit both resident and migratory strategies that capitalize on benefits in freshwater and marine environments. In this study, we investigated genomic signatures for migratory life history in collections of resident and anadromous Oncorhynchus nerka (Kokanee and Sockeye Salmon, respectively) from two lake systems, using ~2,600 SNPs from restriction-site-associated DNA sequencing (RAD-seq). Differing demographic histories were evident in the two systems where one pair was significantly differentiated (Redfish Lake, FST = 0.091 [95% confidence interval: 0.087 to 0.095]) but the other pair was not (Alturas Lake, FST = -0.007 [-0.008 to -0.006]). Outlier and association analyses identified several candidate markers in each population pair, but there was limited evidence for parallel signatures of genomic variation associated with migration. Despite lack of evidence for consistent markers associated with migratory life history in this species, candidate markers were mapped to functional genes and provide evidence for adaptive genetic variation within each lake system. Life history variation has been maintained in these nearly extirpated populations of O. nerka, and conservation efforts to preserve this diversity are important for long-term resiliency of this species.
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Affiliation(s)
- Krista M Nichols
- Conservation Biology Division Northwest Fisheries Science Center National Marine Fisheries Service, NOAA Seattle WA USA
| | | | - Shawn R Narum
- Columbia River Intertribal Fish Commission, Hagerman Fish Culture Experiment Station Hagerman ID USA
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