51
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Boinot M, Karakas E, Koehl K, Pagter M, Zuther E. Cold stress and freezing tolerance negatively affect the fitness of Arabidopsis thaliana accessions under field and controlled conditions. PLANTA 2022; 255:39. [PMID: 35032192 PMCID: PMC8761124 DOI: 10.1007/s00425-021-03809-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/08/2021] [Indexed: 05/15/2023]
Abstract
Higher acclimated freezing tolerance improved winter survival, but reduced reproductive fitness of Arabidopsis thaliana accessions under field and controlled conditions. Low temperature is one of the most important abiotic factors influencing plant fitness and geographical distribution. In addition, cold stress is known to influence crop yield and is therefore of great economic importance. Increased freezing tolerance can be acquired by the process of cold acclimation, but this may be associated with a fitness cost. To assess the influence of cold stress on the fitness of plants, long-term field trials over 5 years were performed with six natural accessions of Arabidopsis thaliana ranging from very tolerant to very sensitive to freezing. Fitness parameters, as seed yield and 1000 seed mass, were measured and correlation analyses with temperature and freezing tolerance data performed. The results were compared with fitness parameters from controlled chamber experiments over 3 years with application of cold priming and triggering conditions. Winter survival and seed yield per plant were positively correlated with temperature in field experiments. In addition, winter survival and 1000 seed mass were correlated with the cold-acclimated freezing tolerance of the selected Arabidopsis accessions. The results provide strong evidence for a trade-off between higher freezing tolerance and reproductive fitness in A. thaliana, which might have ecological impacts in the context of global warming.
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Affiliation(s)
- Maximilian Boinot
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Karin Koehl
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Majken Pagter
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
- Department of Chemistry and Bioscience, Aalborg University, 9220, Aalborg East, Denmark
| | - Ellen Zuther
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany.
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52
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Willi Y, Kristensen TN, Sgrò CM, Weeks AR, Ørsted M, Hoffmann AA. Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species. Proc Natl Acad Sci U S A 2022; 119:e2105076119. [PMID: 34930821 PMCID: PMC8740573 DOI: 10.1073/pnas.2105076119] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
About 50 y ago, Crow and Kimura [An Introduction to Population Genetics Theory (1970)] and Ohta and Kimura [Genet. Res. 22, 201-204 (1973)] laid the foundations of conservation genetics by predicting the relationship between population size and genetic marker diversity. This work sparked an enormous research effort investigating the importance of population dynamics, in particular small population size, for population mean performance, population viability, and evolutionary potential. In light of a recent perspective [J. C. Teixeira, C. D. Huber, Proc. Natl. Acad. Sci. U.S.A. 118, 10 (2021)] that challenges some fundamental assumptions in conservation genetics, it is timely to summarize what the field has achieved, what robust patterns have emerged, and worthwhile future research directions. We consider theory and methodological breakthroughs that have helped management, and we outline some fundamental and applied challenges for conservation genetics.
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Affiliation(s)
- Yvonne Willi
- Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Torsten N Kristensen
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
| | - Carla M Sgrò
- School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia
| | - Andrew R Weeks
- School of BioSciences, Bio21 Institute, University of Melbourne, Melbourne, VIC 3010, Australia
- Cesar Australia, Brunswick, VIC 3056, Australia
| | - Michael Ørsted
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
- Department of Biology, Aarhus University, Aarhus 8000, Denmark
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Melbourne, VIC 3010, Australia;
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53
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Shirsekar G, Devos J, Latorre SM, Blaha A, Queiroz Dias M, González Hernando A, Lundberg DS, Burbano HA, Fenster CB, Weigel D. Multiple Sources of Introduction of North American Arabidopsis thaliana from across Eurasia. Mol Biol Evol 2021; 38:5328-5344. [PMID: 34499163 PMCID: PMC8662644 DOI: 10.1093/molbev/msab268] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Large-scale movement of organisms across their habitable range, or migration, is an important evolutionary process that can shape genetic diversity and influence the adaptive spread of alleles. Although human migrations have been studied in great detail with modern and ancient genomes, recent anthropogenic influence on reducing the biogeographical constraints on the migration of nonnative species has presented opportunities in several study systems to ask the questions about how repeated introductions shape genetic diversity in the introduced range. We present an extensive overview of population structure of North American Arabidopsis thaliana by studying a set of 500 whole-genome sequenced and over 2,800 RAD-seq genotyped individuals in the context of global diversity represented by Afro-Eurasian genomes. We use methods based on haplotype and rare-allele sharing as well as phylogenetic modeling to identify likely sources of introductions of extant N. American A. thaliana from the native range in Africa and Eurasia. We find evidence of admixture among the introduced lineages having increased haplotype diversity and reduced mutational load. We also detect signals of selection in immune-system-related genes that may impart qualitative disease resistance to pathogens of bacterial and oomycete origin. We conclude that multiple introductions to a nonnative range can rapidly enhance the adaptive potential of a colonizing species by increasing haplotypic diversity through admixture. Our results lay the foundation for further investigations into the functional significance of admixture.
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Affiliation(s)
- Gautam Shirsekar
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Jane Devos
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Sergio M Latorre
- Max Planck Institute for Developmental Biology, Tübingen, Germany
- Centre for Life’s Origin and Evolution, University College London, London, United Kingdom
| | - Andreas Blaha
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | | | | | - Derek S Lundberg
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Hernán A Burbano
- Max Planck Institute for Developmental Biology, Tübingen, Germany
- Centre for Life’s Origin and Evolution, University College London, London, United Kingdom
| | - Charles B Fenster
- Oak Lake Field Station, Department of Natural Resource Management, South Dakota State University, Brookings, SD, USA
| | - Detlef Weigel
- Max Planck Institute for Developmental Biology, Tübingen, Germany
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54
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Hartfield M, Poulsen NA, Guldbrandtsen B, Bataillon T. Using singleton densities to detect recent selection in Bos taurus. Evol Lett 2021; 5:595-606. [PMID: 34917399 PMCID: PMC8645200 DOI: 10.1002/evl3.263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 11/05/2022] Open
Abstract
Many quantitative traits are subject to polygenic selection, where several genomic regions undergo small, simultaneous changes in allele frequency that collectively alter a phenotype. The widespread availability of genome data, along with novel statistical techniques, has made it easier to detect these changes. We apply one such method, the "Singleton Density Score" (SDS), to the Holstein breed of Bos taurus to detect recent selection (arising up to around 740 years ago). We identify several genes as candidates for targets of recent selection, including some relating to cell regulation, catabolic processes, neural-cell adhesion and immunity. We do not find strong evidence that three traits that are important to humans-milk protein content, milk fat content, and stature-have been subject to directional selection. Simulations demonstrate that because B. taurus recently experienced a population bottleneck, singletons are depleted so the power of SDS methods is reduced. These results inform on which genes underlie recent genetic change in B. taurus, while providing information on how polygenic selection can be best investigated in future studies.
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Affiliation(s)
- Matthew Hartfield
- Bioinformatics Research CentreAarhus UniversityAarhusDK‐8000Denmark
- Institute of Evolutionary BiologyUniversity of EdinburghEdinburghEH9 3FLUnited Kingdom
| | | | - Bernt Guldbrandtsen
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and GeneticsAarhus UniversityTjeleDK‐8830Denmark
- Rheinische Friedrich‐Wilhelms‐Universität BonnInstitut für TierwissenschaftenBonnDE‐53115Germany
- Department of Veterinary SciencesCopenhagen UniversityFrederiksberg CDK‐1870Denmark
| | - Thomas Bataillon
- Bioinformatics Research CentreAarhus UniversityAarhusDK‐8000Denmark
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55
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Buckley LB, Kingsolver JG. Evolution of Thermal Sensitivity in Changing and Variable Climates. ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS 2021. [DOI: 10.1146/annurev-ecolsys-011521-102856] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Evolutionary adaptation to temperature and climate depends on both the extent to which organisms experience spatial and temporal environmental variation (exposure) and how responsive they are to the environmental variation (sensitivity). Theoretical models and experiments suggesting substantial potential for thermal adaptation have largely omitted realistic environmental variation. Environmental variation can drive fluctuations in selection that slow adaptive evolution. We review how carefully filtering environmental conditions based on how organisms experience their environment and further considering organismal sensitivity can improve predictions of thermal adaptation. We contrast taxa differing in exposure and sensitivity. Plasticity can increase the rate of evolutionary adaptation in taxa exposed to pronounced environmental variation. However, forms of plasticity that severely limit exposure, such as behavioral thermoregulation and phenological shifts, can hinder thermal adaptation. Despite examples of rapid thermal adaptation, experimental studies often reveal evolutionary constraints. Further investigating these constraints and issues of timescale and thermal history are needed to predict evolutionary adaptation and, consequently, population persistence in changing and variable environments.
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Affiliation(s)
- Lauren B. Buckley
- Department of Biology, University of Washington, Seattle, Washington 98195‐1800, USA
| | - Joel G. Kingsolver
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina 27599, USA
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56
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Kreiner JM, Tranel PJ, Weigel D, Stinchcombe JR, Wright SI. The genetic architecture and population genomic signatures of glyphosate resistance in Amaranthus tuberculatus. Mol Ecol 2021; 30:5373-5389. [PMID: 33853196 DOI: 10.1111/mec.15920] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 03/15/2021] [Accepted: 04/06/2021] [Indexed: 01/04/2023]
Abstract
Much of what we know about the genetic basis of herbicide resistance has come from detailed investigations of monogenic adaptation at known target-sites, despite the increasingly recognized importance of polygenic resistance. Little work has been done to characterize the broader genomic basis of herbicide resistance, including the number and distribution of genes involved, their effect sizes, allele frequencies and signatures of selection. In this work, we implemented genome-wide association (GWA) and population genomic approaches to examine the genetic architecture of glyphosate (Round-up) resistance in the problematic agricultural weed Amaranthus tuberculatus. A GWA was able to correctly identify the known target-gene but statistically controlling for two causal target-site mechanisms revealed an additional 250 genes across all 16 chromosomes associated with non-target-site resistance (NTSR). The encoded proteins had functions that have been linked to NTSR, the most significant of which is response to chemicals, but also showed pleiotropic roles in reproduction and growth. Compared to an empirical null that accounts for complex population structure, the architecture of NTSR was enriched for large effect sizes and low allele frequencies, suggesting the role of pleiotropic constraints on its evolution. The enrichment of rare alleles also suggested that the genetic architecture of NTSR may be population-specific and heterogeneous across the range. Despite their rarity, we found signals of recent positive selection on NTSR-alleles by both window- and haplotype-based statistics, and an enrichment of amino acid changing variants. In our samples, genome-wide single nucleotide polymorphisms explain a comparable amount of the total variation in glyphosate resistance to monogenic mechanisms, even in a collection of individuals where 80% of resistant individuals have large-effect TSR mutations, indicating an underappreciated polygenic contribution to the evolution of herbicide resistance in weed populations.
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Affiliation(s)
- Julia M Kreiner
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Patrick J Tranel
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Detlef Weigel
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - John R Stinchcombe
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
- Koffler Scientific Reserve, University of Toronto, King City, ON, Canada
| | - Stephen I Wright
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
- Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON, Canada
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57
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Ramírez-Valiente JA, Solé-Medina A, Pyhäjärvi T, Savolainen O, Heer K, Opgenoorth L, Danusevicius D, Robledo-Arnuncio JJ. Adaptive responses to temperature and precipitation variation at the early-life stages of Pinus sylvestris. THE NEW PHYTOLOGIST 2021; 232:1632-1647. [PMID: 34388269 DOI: 10.1111/nph.17678] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/07/2021] [Indexed: 06/13/2023]
Abstract
Early-stage fitness variation has been seldom evaluated at broad scales in forest tree species, despite the long tradition of studying climate-driven intraspecific genetic variation. In this study, we evaluated the role of climate in driving patterns of population differentiation at early-life stages in Pinus sylvestris and explored the fitness and growth consequences of seed transfer within the species range. We monitored seedling emergence, survival and growth over a 2-yr period in a multi-site common garden experiment which included 18 European populations and spanned 25° in latitude and 1700 m in elevation. Climate-fitness functions showed that populations exhibited higher seedling survival and growth at temperatures similar to their home environment, which is consistent with local adaptation. Northern populations experienced lower survival and growth at warmer sites, contrary to previous studies on later life stages. Seed mass was higher in populations from warmer areas and was positively associated with survival and growth at more southern sites. Finally, we did not detect a survival-growth trade-off; on the contrary, bigger seedlings exhibited higher survival probabilities under most climatic conditions. In conclusion, our results reveal that contrasting temperature regimes have played an important role in driving the divergent evolution of P. sylvestris populations at early-life stages.
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Affiliation(s)
- José Alberto Ramírez-Valiente
- Department of Forest Ecology & Genetics, Forest Research Centre (INIA, CSIC), Ctra. de la Coruña km 7.5, Madrid, 28040, Spain
- Ecological and Forestry Applications Research Centre, CREAF, Campus de Bellaterra (UAB) Edifici C 08193, Cerdanyola del Vallès, Barcelona, Spain
| | - Aida Solé-Medina
- Department of Forest Ecology & Genetics, Forest Research Centre (INIA, CSIC), Ctra. de la Coruña km 7.5, Madrid, 28040, Spain
- Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, C/Tulipán s/n, Móstoles, 28933, Spain
| | - Tanja Pyhäjärvi
- Department of Ecology and Genetics, University of Oulu, Oulu, FI-90014, Finland
- Department of Forest Sciences, University of Helsinki, Helsinki, FI-00014, Finland
| | - Outi Savolainen
- Conservation Biology, Philipps Universität Marburg, Karl-von-Frisch Strasse 8, Marburg, 35043, Germany
| | - Katrin Heer
- Plant Ecology and Geobotany, Philipps Universität Marburg, Karl-von-Frisch Strasse 8, Marburg, 35043, Germany
| | - Lars Opgenoorth
- Plant Ecology and Geobotany, Philipps Universität Marburg, Karl-von-Frisch Strasse 8, Marburg, 35043, Germany
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, Birmensdorf, 8903, Switzerland
| | - Darius Danusevicius
- Faculty of Forest Science and Evology, Vytautas Magnus University, Studentu str. 11, Akademija, Kaunas, LT-53361, Lithuania
| | - Juan José Robledo-Arnuncio
- Department of Forest Ecology & Genetics, Forest Research Centre (INIA, CSIC), Ctra. de la Coruña km 7.5, Madrid, 28040, Spain
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58
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Gompert Z, Feder JL, Nosil P. Natural selection drives genome-wide evolution via chance genetic associations. Mol Ecol 2021; 31:467-481. [PMID: 34704650 DOI: 10.1111/mec.16247] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/13/2021] [Accepted: 10/15/2021] [Indexed: 11/29/2022]
Abstract
Understanding selection's impact on the genome is a major theme in biology. Functionally neutral genetic regions can be affected indirectly by natural selection, via their statistical association with genes under direct selection. The genomic extent of such indirect selection, particularly across loci not physically linked to those under direct selection, remains poorly understood, as does the time scale at which indirect selection occurs. Here, we use field experiments and genomic data in stick insects, deer mice and stickleback fish to show that widespread statistical associations with genes known to affect fitness cause many genetic loci across the genome to be impacted indirectly by selection. This includes regions physically distant from those directly under selection. Then, focusing on the stick insect system, we show that statistical associations between SNPs and other unknown, causal variants result in additional indirect selection in general and specifically within genomic regions of physically linked loci. This widespread indirect selection necessarily makes aspects of evolution more predictable. Thus, natural selection combines with chance genetic associations to affect genome-wide evolution across linked and unlinked loci and even in modest-sized populations. This process has implications for the application of evolutionary principles in basic and applied science.
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Affiliation(s)
- Zachariah Gompert
- Department of Biology, Utah State University, Logan, Utah, USA.,Ecology Center, Utah State University, Logan, Utah, USA
| | - Jeffrey L Feder
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
| | - Patrik Nosil
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
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59
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Kelly JK. The promise and deceit of genomic selection component analyses. Proc Biol Sci 2021; 288:20211812. [PMID: 34702075 PMCID: PMC8548789 DOI: 10.1098/rspb.2021.1812] [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: 08/13/2021] [Accepted: 09/30/2021] [Indexed: 11/12/2022] Open
Abstract
Selection component analyses (SCA) relate individual genotype to fitness components such as viability, fecundity and mating success. SCA are based on population genetic models and yield selection estimates directly in terms of predicted allele frequency change. This paper explores the statistical properties of gSCA: experiments that apply SCA to genome-wide scoring of SNPs in field sampled individuals. Computer simulations indicate that gSCA involving a few thousand genotyped samples can detect allele frequency changes of the magnitude that has been documented in field experiments on diverse taxa. To detect selection, imprecise genotyping from low-level sequencing of large samples of individuals provides much greater power than precise genotyping of smaller samples. The simulations also demonstrate the efficacy of 'haplotype matching', a method to combine information from a limited collection of whole genome sequence (the reference panel) with the much larger sample of field individuals that are measured for fitness. Pooled sequencing is demonstrated as another way to increase statistical power. Finally, I discuss the interpretation of selection estimates in relation to the Beavis effect, the overestimation of selection intensities at significant loci.
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Affiliation(s)
- John K. Kelly
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
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60
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Kim ST, Choi M, Bae SJ, Kim JS. The Functional Association of ACQOS/VICTR with Salt Stress Resistance in Arabidopsis thaliana Was Confirmed by CRISPR-Mediated Mutagenesis. Int J Mol Sci 2021; 22:11389. [PMID: 34768819 PMCID: PMC8583979 DOI: 10.3390/ijms222111389] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/27/2022] Open
Abstract
Clustered regularly interspaced palindromic repeat (CRISPR)-mediated mutagenesis has become an important tool in plant research, enabling the characterization of genes via gene knock-out. CRISPR genome editing tools can be applied to generate multi-gene knockout lines. Typically, multiple single-stranded, single guide RNAs (gRNAs) must be expressed in an organism to target multiple genes simultaneously; however, a single gRNA can target multiple genes if the target genes share similar sequences. A gene cluster comprising ACQUIRED OSMOTOLERANCE (ACQOS; AT5G46520) and neighboring nucleotide-binding leucine-rich repeats (NLRs; AT5G46510) is associated with osmotic tolerance. To investigate the role of ACQOS and the tandemly arranged NLR in osmotic tolerance, we introduced small insertion/deletion mutations into two target genes using a single gRNA and obtained transformant plant lines with three different combinations of mutant alleles. We then tested our mutant lines for osmotic tolerance after a salt-stress acclimation period by determining the chlorophyll contents of the mutant seedlings. Our results strongly suggest that ACQOS is directly associated with salt resistance, while the neighboring NLR is not. Here, we confirmed previous findings suggesting the involvement of ACQOS in salt tolerance and demonstrated the usefulness of CRISPR-mediated mutagenesis in validating the functions of genes in a single genetic background.
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Affiliation(s)
- Sang-Tae Kim
- Department of Medical & Biological Sciences, The Catholic University of Korea, Bucheon 14662, Korea
| | - Minkyung Choi
- Center for Genome Engineering, Institute for Basic Science, Daejeon 34126, Korea; (M.C.); (S.-J.B.); (J.-S.K.)
| | - Su-Ji Bae
- Center for Genome Engineering, Institute for Basic Science, Daejeon 34126, Korea; (M.C.); (S.-J.B.); (J.-S.K.)
| | - Jin-Soo Kim
- Center for Genome Engineering, Institute for Basic Science, Daejeon 34126, Korea; (M.C.); (S.-J.B.); (J.-S.K.)
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61
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The evolutionary genomics of species' responses to climate change. Nat Ecol Evol 2021; 5:1350-1360. [PMID: 34373621 DOI: 10.1038/s41559-021-01526-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 07/05/2021] [Indexed: 02/06/2023]
Abstract
Climate change is a threat to biodiversity. One way that this threat manifests is through pronounced shifts in the geographical range of species over time. To predict these shifts, researchers have primarily used species distribution models. However, these models are based on assumptions of niche conservatism and do not consider evolutionary processes, potentially limiting their accuracy and value. To incorporate evolution into the prediction of species' responses to climate change, researchers have turned to landscape genomic data and examined information about local genetic adaptation using climate models. Although this is an important advancement, this approach currently does not include other evolutionary processes-such as gene flow, population dispersal and genomic load-that are critical for predicting the fate of species across the landscape. Here, we briefly review the current practices for the use of species distribution models and for incorporating local adaptation. We next discuss the rationale and theory for considering additional processes, reviewing how they can be incorporated into studies of species' responses to climate change. We summarize with a conceptual framework of how manifold layers of information can be combined to predict the potential response of specific populations to climate change. We illustrate all of the topics using an exemplar dataset and provide the source code as potential tutorials. This Perspective is intended to be a step towards a more comprehensive integration of population genomics with climate change science.
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62
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Couper LI, Farner JE, Caldwell JM, Childs ML, Harris MJ, Kirk DG, Nova N, Shocket M, Skinner EB, Uricchio LH, Exposito-Alonso M, Mordecai EA. How will mosquitoes adapt to climate warming? eLife 2021; 10:69630. [PMID: 34402424 PMCID: PMC8370766 DOI: 10.7554/elife.69630] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/13/2021] [Indexed: 12/14/2022] Open
Abstract
The potential for adaptive evolution to enable species persistence under a changing climate is one of the most important questions for understanding impacts of future climate change. Climate adaptation may be particularly likely for short-lived ectotherms, including many pest, pathogen, and vector species. For these taxa, estimating climate adaptive potential is critical for accurate predictive modeling and public health preparedness. Here, we demonstrate how a simple theoretical framework used in conservation biology-evolutionary rescue models-can be used to investigate the potential for climate adaptation in these taxa, using mosquito thermal adaptation as a focal case. Synthesizing current evidence, we find that short mosquito generation times, high population growth rates, and strong temperature-imposed selection favor thermal adaptation. However, knowledge gaps about the extent of phenotypic and genotypic variation in thermal tolerance within mosquito populations, the environmental sensitivity of selection, and the role of phenotypic plasticity constrain our ability to make more precise estimates. We describe how common garden and selection experiments can be used to fill these data gaps. Lastly, we investigate the consequences of mosquito climate adaptation on disease transmission using Aedes aegypti-transmitted dengue virus in Northern Brazil as a case study. The approach outlined here can be applied to any disease vector or pest species and type of environmental change.
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Affiliation(s)
- Lisa I Couper
- Department of Biology, Stanford University, Stanford, United States
| | | | - Jamie M Caldwell
- Department of Biology, Stanford University, Stanford, United States.,Department of Biology, University of Hawaii at Manoa, Honolulu, United States
| | - Marissa L Childs
- Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, United States
| | - Mallory J Harris
- Department of Biology, Stanford University, Stanford, United States
| | - Devin G Kirk
- Department of Biology, Stanford University, Stanford, United States.,Department of Zoology, University of Toronto, Toronto, Canada
| | - Nicole Nova
- Department of Biology, Stanford University, Stanford, United States
| | - Marta Shocket
- Department of Biology, Stanford University, Stanford, United States.,Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, United States
| | - Eloise B Skinner
- Department of Biology, Stanford University, Stanford, United States.,Environmental Futures Research Institute, Griffith University, Brisbane, Australia
| | - Lawrence H Uricchio
- Department of Integrative Biology, University of California, Berkeley, Berkeley, United States
| | - Moises Exposito-Alonso
- Department of Biology, Stanford University, Stanford, United States.,Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
| | - Erin A Mordecai
- Department of Biology, Stanford University, Stanford, United States
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63
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Gompert Z, Springer A, Brady M, Chaturvedi S, Lucas LK. Genomic time-series data show that gene flow maintains high genetic diversity despite substantial genetic drift in a butterfly species. Mol Ecol 2021; 30:4991-5008. [PMID: 34379852 DOI: 10.1111/mec.16111] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/09/2021] [Accepted: 07/19/2021] [Indexed: 11/29/2022]
Abstract
Effective population size affects the efficacy of selection, rate of evolution by drift, and neutral diversity levels. When species are subdivided into multiple populations connected by gene flow, evolutionary processes can depend on global or local effective population sizes. Theory predicts that high levels of diversity might be maintained by gene flow, even very low levels of gene flow, consistent with species long-term effective population size, but tests of this idea are mostly lacking. Here, we show that Lycaeides buttery populations maintain low contemporary (variance) effective population sizes (e.g., ~200 individuals) and thus evolve rapidly by genetic drift. In contrast, populations harbored high levels of genetic diversity consistent with an effective population size several orders of magnitude larger. We hypothesized that the differences in the magnitude and variability of contemporary versus long-term effective population sizes were caused by gene flow of sufficient magnitude to maintain diversity but only subtly affect evolution on generational time scales. Consistent with this hypothesis, we detected low but non-trivial gene flow among populations. Furthermore, using short-term population-genomic time-series data, we documented patterns consistent with predictions from this hypothesis, including a weak but detectable excess of evolutionary change in the direction of the mean (migrant gene pool) allele frequencies across populations, and consistency in the direction of allele frequency change over time. The documented decoupling of diversity levels and short-term change by drift in Lycaeides has implications for our understanding of contemporary evolution and the maintenance of genetic variation in the wild.
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Affiliation(s)
- Zachariah Gompert
- Department of Biology, Utah State University, Logan, UT, 84322, USA.,Ecology Center, Utah State University, Logan, UT, 84322, USA
| | - Amy Springer
- Department of Biology, Utah State University, Logan, UT, 84322, USA
| | - Megan Brady
- Department of Biology, Utah State University, Logan, UT, 84322, USA
| | - Samridhi Chaturvedi
- Department of Biology, Utah State University, Logan, UT, 84322, USA.,Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Lauren K Lucas
- Department of Biology, Utah State University, Logan, UT, 84322, USA
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64
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Wolkovich EM, Donahue MJ. How phenological tracking shapes species and communities in non-stationary environments. Biol Rev Camb Philos Soc 2021; 96:2810-2827. [PMID: 34288337 DOI: 10.1111/brv.12781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 01/27/2023]
Abstract
Climate change alters the environments of all species. Predicting species responses requires understanding how species track environmental change, and how such tracking shapes communities. Growing empirical evidence suggests that how species track phenologically - how an organism shifts the timing of major biological events in response to the environment - is linked to species performance and community structure. Such research tantalizingly suggests a potential framework to predict the winners and losers of climate change, and the future communities we can expect. But developing this framework requires far greater efforts to ground empirical studies of phenological tracking in relevant ecological theory. Here we review the concept of phenological tracking in empirical studies and through the lens of coexistence theory to show why a community-level perspective is critical to accurate predictions with climate change. While much current theory for tracking ignores the importance of a multi-species context, basic community assembly theory predicts that competition will drive variation in tracking and trade-offs with other traits. We highlight how existing community assembly theory can help understand tracking in stationary and non-stationary systems. But major advances in predicting the species- and community-level consequences of climate change will require advances in theoretical and empirical studies. We outline a path forward built on greater efforts to integrate priority effects into modern coexistence theory, improved empirical estimates of multivariate environmental change, and clearly defined estimates of phenological tracking and its underlying environmental cues.
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Affiliation(s)
- E M Wolkovich
- Forest & Conservation Sciences, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Megan J Donahue
- Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kān'eohe, HI, 96744, U.S.A
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65
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Blanco-Pastor JL, Liberal IM, Sakiroglu M, Wei Y, Brummer EC, Andrew RL, Pfeil BE. Annual and perennial Medicago show signatures of parallel adaptation to climate and soil in highly conserved genes. Mol Ecol 2021; 30:4448-4465. [PMID: 34217151 DOI: 10.1111/mec.16061] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 06/24/2021] [Accepted: 06/29/2021] [Indexed: 12/24/2022]
Abstract
Human induced environmental change may require rapid adaptation of plant populations and crops, but the genomic basis of environmental adaptation remain poorly understood. We analysed polymorphic loci from the perennial crop Medicago sativa (alfalfa or lucerne) and the annual legume model species M. truncatula to search for a common set of candidate genes that might contribute to adaptation to abiotic stress in both annual and perennial Medicago species. We identified a set of candidate genes of adaptation associated with environmental gradients along the distribution of the two Medicago species. Candidate genes for each species were detected in homologous genomic linkage blocks using genome-environment (GEA) and genome-phenotype association analyses. Hundreds of GEA candidate genes were species-specific, of these, 13.4% (M. sativa) and 24% (M. truncatula) were also significantly associated with phenotypic traits. A set of 168 GEA candidates were shared by both species, which was 25.4% more than expected by chance. When combined, they explained a high proportion of variance for certain phenotypic traits associated with adaptation. Genes with highly conserved functions dominated among the shared candidates and were enriched in gene ontology terms that have shown to play a central role in drought avoidance and tolerance mechanisms by means of cellular shape modifications and other functions associated with cell homeostasis. Our results point to the existence of a molecular basis of adaptation to abiotic stress in Medicago determined by highly conserved genes and gene functions. We discuss these results in light of the recently proposed omnigenic model of complex traits.
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Affiliation(s)
- José Luis Blanco-Pastor
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden.,INRAE, Centre Nouvelle-Aquitaine-Poitiers, UR4 (URP3F), Lusignan, France
| | - Isabel M Liberal
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden.,Real Jardín Botánico de Madrid (RJB-CSIC), Madrid, Spain
| | - Muhammet Sakiroglu
- Department of Bioengineering, Adana Alparslan Turkes Science and Technology University, Adana, Turkey
| | - Yanling Wei
- Plant Breeding Center, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
| | - E Charles Brummer
- Plant Breeding Center, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
| | - Rose L Andrew
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
| | - Bernard E Pfeil
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
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66
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Genome-wide association studies: assessing trait characteristics in model and crop plants. Cell Mol Life Sci 2021; 78:5743-5754. [PMID: 34196733 PMCID: PMC8316211 DOI: 10.1007/s00018-021-03868-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 01/19/2023]
Abstract
GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets.
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67
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Bergelson J, Kreitman M, Petrov DA, Sanchez A, Tikhonov M. Functional biology in its natural context: A search for emergent simplicity. eLife 2021; 10:e67646. [PMID: 34096867 PMCID: PMC8184206 DOI: 10.7554/elife.67646] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/28/2021] [Indexed: 01/03/2023] Open
Abstract
The immeasurable complexity at every level of biological organization creates a daunting task for understanding biological function. Here, we highlight the risks of stripping it away at the outset and discuss a possible path toward arriving at emergent simplicity of understanding while still embracing the ever-changing complexity of biotic interactions that we see in nature.
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Affiliation(s)
- Joy Bergelson
- Department of Ecology & Evolution, University of ChicagoChicagoUnited States
| | - Martin Kreitman
- Department of Ecology & Evolution, University of ChicagoChicagoUnited States
| | - Dmitri A Petrov
- Department of Biology, Stanford UniversityStanfordUnited States
| | - Alvaro Sanchez
- Department of Ecology & Evolutionary Biology, Yale UniversityNew HavenUnited States
| | - Mikhail Tikhonov
- Department of Physics, Washington University in St LouisSt. LouisUnited States
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68
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Li X, Guo T, Wang J, Bekele WA, Sukumaran S, Vanous AE, McNellie JP, Tibbs-Cortes LE, Lopes MS, Lamkey KR, Westgate ME, McKay JK, Archontoulis SV, Reynolds MP, Tinker NA, Schnable PS, Yu J. An integrated framework reinstating the environmental dimension for GWAS and genomic selection in crops. MOLECULAR PLANT 2021; 14:874-887. [PMID: 33713844 DOI: 10.1016/j.molp.2021.03.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 02/03/2021] [Accepted: 03/09/2021] [Indexed: 05/08/2023]
Abstract
Identifying mechanisms and pathways involved in gene-environment interplay and phenotypic plasticity is a long-standing challenge. It is highly desirable to establish an integrated framework with an environmental dimension for complex trait dissection and prediction. A critical step is to identify an environmental index that is both biologically relevant and estimable for new environments. With extensive field-observed complex traits, environmental profiles, and genome-wide single nucleotide polymorphisms for three major crops (maize, wheat, and oat), we demonstrated that identifying such an environmental index (i.e., a combination of environmental parameter and growth window) enables genome-wide association studies and genomic selection of complex traits to be conducted with an explicit environmental dimension. Interestingly, genes identified for two reaction-norm parameters (i.e., intercept and slope) derived from flowering time values along the environmental index were less colocalized for a diverse maize panel than for wheat and oat breeding panels, agreeing with the different diversity levels and genetic constitutions of the panels. In addition, we showcased the usefulness of this framework for systematically forecasting the performance of diverse germplasm panels in new environments. This general framework and the companion CERIS-JGRA analytical package should facilitate biologically informed dissection of complex traits, enhanced performance prediction in breeding for future climates, and coordinated efforts to enrich our understanding of mechanisms underlying phenotypic variation.
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Affiliation(s)
- Xianran Li
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Tingting Guo
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Jinyu Wang
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Wubishet A Bekele
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Sivakumar Sukumaran
- International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Adam E Vanous
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - James P McNellie
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | | | - Marta S Lopes
- International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Kendall R Lamkey
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Mark E Westgate
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - John K McKay
- Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523, USA
| | | | - Matthew P Reynolds
- International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Nicholas A Tinker
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | | | - Jianming Yu
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA.
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69
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Barbour MA, Gibert JP. Genetic and plastic rewiring of food webs under climate change. J Anim Ecol 2021; 90:1814-1830. [PMID: 34028791 PMCID: PMC8453762 DOI: 10.1111/1365-2656.13541] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 05/17/2021] [Indexed: 12/12/2022]
Abstract
Climate change is altering ecological and evolutionary processes across biological scales. These simultaneous effects of climate change pose a major challenge for predicting the future state of populations, communities and ecosystems. This challenge is further exacerbated by the current lack of integration of research focused on these different scales. We propose that integrating the fields of quantitative genetics and food web ecology will reveal new insights on how climate change may reorganize biodiversity across levels of organization. This is because quantitative genetics links the genotypes of individuals to population‐level phenotypic variation due to genetic (G), environmental (E) and gene‐by‐environment (G × E) factors. Food web ecology, on the other hand, links population‐level phenotypes to the structure and dynamics of communities and ecosystems. We synthesize data and theory across these fields and find evidence that genetic (G) and plastic (E and G × E) phenotypic variation within populations will change in magnitude under new climates in predictable ways. We then show how changes in these sources of phenotypic variation can rewire food webs by altering the number and strength of species interactions, with consequences for ecosystem resilience. We also find evidence suggesting there are predictable asymmetries in genetic and plastic trait variation across trophic levels, which set the pace for phenotypic change and food web responses to climate change. Advances in genomics now make it possible to partition G, E and G × E phenotypic variation in natural populations, allowing tests of the hypotheses we propose. By synthesizing advances in quantitative genetics and food web ecology, we provide testable predictions for how the structure and dynamics of biodiversity will respond to climate change.
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Affiliation(s)
- Matthew A Barbour
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Jean P Gibert
- Department of Biology, Duke University, Durham, NC, USA
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70
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Leidinger L, Vedder D, Cabral JS. Temporal environmental variation may impose differential selection on both genomic and ecological traits. OIKOS 2021. [DOI: 10.1111/oik.08172] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Ludwig Leidinger
- Center for Computational and Theoretical Biology, Faculty of Biology, Univ. of Würzburg Würzburg Germany
| | - Daniel Vedder
- Center for Computational and Theoretical Biology, Faculty of Biology, Univ. of Würzburg Würzburg Germany
| | - Juliano Sarmento Cabral
- Center for Computational and Theoretical Biology, Faculty of Biology, Univ. of Würzburg Würzburg Germany
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71
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Baduel P, Leduque B, Ignace A, Gy I, Gil J, Loudet O, Colot V, Quadrana L. Genetic and environmental modulation of transposition shapes the evolutionary potential of Arabidopsis thaliana. Genome Biol 2021; 22:138. [PMID: 33957946 PMCID: PMC8101250 DOI: 10.1186/s13059-021-02348-5] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 04/09/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND How species can adapt to abrupt environmental changes, particularly in the absence of standing genetic variation, is poorly understood and a pressing question in the face of ongoing climate change. Here we leverage publicly available multi-omic and bio-climatic data for more than 1000 wild Arabidopsis thaliana accessions to determine the rate of transposable element (TE) mobilization and its potential to create adaptive variation in natural settings. RESULTS We demonstrate that TE insertions arise at almost the same rate as base substitutions. Mobilization activity of individual TE families varies greatly between accessions, in association with genetic and environmental factors as well as through complex gene-environment interactions. Although the distribution of TE insertions across the genome is ultimately shaped by purifying selection, reflecting their typically strong deleterious effects when located near or within genes, numerous recent TE-containing alleles show signatures of positive selection. Moreover, high rates of transposition appear positively selected at the edge of the species' ecological niche. Based on these findings, we predict through mathematical modeling higher transposition activity in Mediterranean regions within the next decades in response to global warming, which in turn should accelerate the creation of large-effect alleles. CONCLUSIONS Our study reveals that TE mobilization is a major generator of genetic variation in A. thaliana that is finely modulated by genetic and environmental factors. These findings and modeling indicate that TEs may be essential genomic players in the demise or rescue of native populations in times of climate crises.
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Affiliation(s)
- Pierre Baduel
- Institut de Biologie de l'École Normale Supérieure, ENS, 46 rue d'Ulm, 75005, Paris, France
| | - Basile Leduque
- Institut de Biologie de l'École Normale Supérieure, ENS, 46 rue d'Ulm, 75005, Paris, France
| | - Amandine Ignace
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000, Versailles, France
| | - Isabelle Gy
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000, Versailles, France
| | - José Gil
- Institut de Biologie de l'École Normale Supérieure, ENS, 46 rue d'Ulm, 75005, Paris, France
- Present Address: Institut Curie, 26 rue d'Ulm, 75005, Paris, France
| | - Olivier Loudet
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000, Versailles, France
| | - Vincent Colot
- Institut de Biologie de l'École Normale Supérieure, ENS, 46 rue d'Ulm, 75005, Paris, France.
| | - Leandro Quadrana
- Institut de Biologie de l'École Normale Supérieure, ENS, 46 rue d'Ulm, 75005, Paris, France.
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72
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Rellstab C, Dauphin B, Exposito‐Alonso M. Prospects and limitations of genomic offset in conservation management. Evol Appl 2021; 14:1202-1212. [PMID: 34025760 PMCID: PMC8127717 DOI: 10.1111/eva.13205] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/06/2021] [Accepted: 02/09/2021] [Indexed: 12/12/2022] Open
Abstract
In nature conservation, there is keen interest in predicting how populations will respond to environmental changes such as climate change. These predictions can help determine whether a population can be self-sustaining under future alterations of its habitat or whether it may require human intervention such as protection, restoration, or assisted migration. An increasingly popular approach in this respect is the concept of genomic offset, which combines genomic and environmental data from different time points and/or locations to assess the degree of possible maladaptation to new environmental conditions. Here, we argue that the concept of genomic offset holds great potential, but an exploration of its risks and limitations is needed to use it for recommendations in conservation or assisted migration. After briefly describing the concept, we list important issues to consider (e.g., statistical frameworks, population genetic structure, migration, independent evidence) when using genomic offset or developing these methods further. We conclude that genomic offset is an area of development that still lacks some important features and should be used in combination with other approaches to inform conservation measures.
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Affiliation(s)
| | | | - Moises Exposito‐Alonso
- Department of Plant BiologyCarnegie Institution for ScienceStanfordCAUSA
- Department of BiologyStanford UniversityStanfordCAUSA
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73
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Yan W, Wang B, Chan E, Mitchell-Olds T. Genetic architecture and adaptation of flowering time among environments. THE NEW PHYTOLOGIST 2021; 230:1214-1227. [PMID: 33484593 PMCID: PMC8193995 DOI: 10.1111/nph.17229] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 01/07/2021] [Indexed: 05/17/2023]
Abstract
The genetic basis of flowering time changes across environments, and pleiotropy may limit adaptive evolution of populations in response to local conditions. However, little information is known about how genetic architecture changes among environments. We used genome-wide association studies (GWAS) in Boechera stricta (Graham) Al-Shehbaz, a relative of Arabidopsis, to examine flowering variation among environments and associations with climate conditions in home environments. Also, we used molecular population genetics to search for evidence of historical natural selection. GWAS found 47 significant quantitative trait loci (QTLs) that influence flowering time in one or more environments, control plastic changes in phenology between experiments, or show associations with climate in sites of origin. Genetic architecture of flowering varied substantially among environments. We found that some pairs of QTLs showed similar patterns of pleiotropy across environments. A large-effect QTL showed molecular signatures of adaptive evolution and is associated with climate in home environments. The derived allele at this locus causes later flowering and predominates in sites with greater water availability. This work shows that GWAS of climate associations and ecologically important traits across diverse environments can be combined with molecular signatures of natural selection to elucidate ecological genetics of adaptive evolution.
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Affiliation(s)
- Wenjie Yan
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Baosheng Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, 510650 China
| | - Emily Chan
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
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74
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Lin YP, Mitchell-Olds T, Lee CR. The ecological, genetic and genomic architecture of local adaptation and population differentiation in Boechera stricta. Proc Biol Sci 2021; 288:20202472. [PMID: 33878927 DOI: 10.1098/rspb.2020.2472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Differential local adaptation restricts gene flow between populations inhabiting distinct environments, resulting in isolation by adaptation. In addition to the statistical inferences of genotype-environment associations, an integrative approach is needed to investigate the effect of local adaptation on population divergence at the ecological, genetic and genomic scale. Here, we combine reciprocal transplant, genome-environment association and QTL mapping to investigate local adaptation in Boechera stricta (Drummond's rockcress). With reciprocal transplant experiment, we found local genetic groups exhibit phenotypic characteristics corresponding to the distinct selection forces from different water availability. At the genetic level, the local allele of a major fitness QTL confers higher and sturdier flowering stalks, maximizing the fecundity fitness component under sufficient water supply, and its genetic variation is associated with precipitation across the landscape. At the genomewide scale, we further showed that multiple loci associated with precipitation are highly differentiated between genetic groups, suggesting that local adaptation has a widespread effect on reducing gene flow. This study provides one of the few comprehensive examples demonstrating how local adaptation facilitates population divergence at the trait, gene and genome level.
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Affiliation(s)
- Ya-Ping Lin
- Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei 10617, Taiwan
| | | | - Cheng-Ruei Lee
- Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei 10617, Taiwan.,Genome and Systems Biology Degree Program, National Taiwan University, Taipei 10617, Taiwan.,Institute of Plant Biology, National Taiwan University, Taipei 10617, Taiwan
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75
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Arjona Y, Morente-López J. Digest: Parallel rather than unique local adaptation along a steep elevation gradient. Evolution 2021; 75:972-974. [PMID: 33690886 DOI: 10.1111/evo.14206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 02/05/2021] [Indexed: 11/29/2022]
Abstract
To what extent do parallel and unique local adaptation occur along elevational gradients? In a reciprocal transplant experiment, Bachmann and Van Buskirk found stronger evidence for parallel adaptation to elevation than for unique local adaptation in Rana temporaria populations of the Swiss Alps. This finding has important implications for understanding gene flow effects on adaptive patterns and provides a useful investigative framework for the study of adaptation.
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Affiliation(s)
- Yurena Arjona
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), Canary Islands, 38206, Spain
| | - Javier Morente-López
- Department of Botany, Ecology, and Plant Physiology, University of La Laguna, La Laguna, 38071, Spain
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76
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Scossa F, Fernie AR. Ancestral sequence reconstruction - An underused approach to understand the evolution of gene function in plants? Comput Struct Biotechnol J 2021; 19:1579-1594. [PMID: 33868595 PMCID: PMC8039532 DOI: 10.1016/j.csbj.2021.03.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 03/04/2021] [Accepted: 03/06/2021] [Indexed: 02/06/2023] Open
Abstract
Whilst substantial research effort has been placed on understanding the interactions of plant proteins with their molecular partners, relatively few studies in plants - by contrast to work in other organisms - address how these interactions evolve. It is thought that ancestral proteins were more promiscuous than modern proteins and that specificity often evolved following gene duplication and subsequent functional refining. However, ancestral protein resurrection studies have found that some modern proteins have evolved de novo from ancestors lacking those functions. Intriguingly, the new interactions evolved as a consequence of just a few mutations and, as such, acquisition of new functions appears to be neither difficult nor rare, however, only a few of them are incorporated into biological processes before they are lost to subsequent mutations. Here, we detail the approach of ancestral sequence reconstruction (ASR), providing a primer to reconstruct the sequence of an ancestral gene. We will present case studies from a range of different eukaryotes before discussing the few instances where ancestral reconstructions have been used in plants. As ASR is used to dig into the remote evolutionary past, we will also present some alternative genetic approaches to investigate molecular evolution on shorter timescales. We argue that the study of plant secondary metabolism is particularly well suited for ancestral reconstruction studies. Indeed, its ancient evolutionary roots and highly diverse landscape provide an ideal context in which to address the focal issue around the emergence of evolutionary novelties and how this affects the chemical diversification of plant metabolism.
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Key Words
- APR, ancestral protein resurrection
- ASR, ancestral sequence reconstruction
- Ancestral sequence reconstruction
- CDS, coding sequence
- Evolution
- GR, glucocorticoid receptor
- GWAS, genome wide association study
- Genomics
- InDel, insertion/deletion
- MCMC, Markov Chain Monte Carlo
- ML, maximum likelihood
- MP, maximum parsimony
- MR, mineralcorticoid receptor
- MSA, multiple sequence alignment
- Metabolism
- NJ, neighbor-joining
- Phylogenetics
- Plants
- SFS, site frequency spectrum
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Affiliation(s)
- Federico Scossa
- Max-Planck-Institute of Molecular Plant Physiology (MPI-MP), 14476 Potsdam-Golm, Germany
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), Rome, Italy
| | - Alisdair R. Fernie
- Max-Planck-Institute of Molecular Plant Physiology (MPI-MP), 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria
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77
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Hamann E, Denney D, Day S, Lombardi E, Jameel MI, MacTavish R, Anderson JT. Review: Plant eco-evolutionary responses to climate change: Emerging directions. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2021; 304:110737. [PMID: 33568289 DOI: 10.1016/j.plantsci.2020.110737] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/23/2020] [Accepted: 10/25/2020] [Indexed: 05/14/2023]
Abstract
Contemporary climate change is exposing plant populations to novel combinations of temperatures, drought stress, [CO2] and other abiotic and biotic conditions. These changes are rapidly disrupting the evolutionary dynamics of plants. Despite the multifactorial nature of climate change, most studies typically manipulate only one climatic factor. In this opinion piece, we explore how climate change factors interact with each other and with biotic pressures to alter evolutionary processes. We evaluate the ramifications of climate change across life history stages,and examine how mating system variation influences population persistence under rapid environmental change. Furthermore, we discuss how spatial and temporal mismatches between plants and their mutualists and antagonists could affect adaptive responses to climate change. For example, plant-virus interactions vary from highly pathogenic to mildly facilitative, and are partly mediated by temperature, moisture availability and [CO2]. Will host plants exposed to novel, stressful abiotic conditions be more susceptible to viral pathogens? Finally, we propose novel experimental approaches that could illuminate how plants will cope with unprecedented global change, such as resurrection studies combined with experimental evolution, genomics or epigenetics.
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Affiliation(s)
- Elena Hamann
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Derek Denney
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Samantha Day
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Elizabeth Lombardi
- Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850, USA
| | - M Inam Jameel
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Rachel MacTavish
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Jill T Anderson
- Department of Genetics and Odum School of Ecology, University of Georgia, Athens, GA 30602, USA.
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78
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Köhler H, Capowiez Y, Mazzia C, Eckstein H, Kaczmarek N, Bilton MC, Burmester JKY, Capowiez L, Chueca LJ, Favilli L, Florit Gomila J, Manganelli G, Mazzuca S, Moreno‐Rueda G, Peschke K, Piro A, Quintana Cardona J, Sawallich L, Staikou AE, Thomassen HA, Triebskorn R. Experimental simulation of environmental warming selects against pigmented morphs of land snails. Ecol Evol 2021; 11:1111-1130. [PMID: 33598118 PMCID: PMC7863387 DOI: 10.1002/ece3.7002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/14/2020] [Accepted: 10/20/2020] [Indexed: 12/17/2022] Open
Abstract
In terrestrial snails, thermal selection acts on shell coloration. However, the biological relevance of small differences in the intensity of shell pigmentation and the associated thermodynamic, physiological, and evolutionary consequences for snail diversity within the course of environmental warming are still insufficiently understood. To relate temperature-driven internal heating, protein and membrane integrity impairment, escape behavior, place of residence selection, water loss, and mortality, we used experimentally warmed open-top chambers and field observations with a total of >11,000 naturally or experimentally colored individuals of the highly polymorphic species Theba pisana (O.F. MÜller, 1774). We show that solar radiation in their natural Mediterranean habitat in Southern France poses intensifying thermal stress on increasingly pigmented snails that cannot be compensated for by behavioral responses. Individuals of all morphs acted neither jointly nor actively competed in climbing behavior, but acted similarly regardless of neighbor pigmentation intensity. Consequently, dark morphs progressively suffered from high internal temperatures, oxidative stress, and a breakdown of the chaperone system. Concomitant with increasing water loss, mortality increased with more intense pigmentation under simulated global warming conditions. In parallel with an increase in mean ambient temperature of 1.34°C over the past 30 years, the mortality rate of pigmented individuals in the field is, currently, about 50% higher than that of white morphs. A further increase of 1.12°C, as experimentally simulated in our study, would elevate this rate by another 26%. For 34 T. pisana populations from locations that are up to 2.7°C warmer than our experimental site, we show that both the frequency of pigmented morphs and overall pigmentation intensity decrease with an increase in average summer temperatures. We therefore predict a continuing strong decline in the frequency of pigmented morphs and a decrease in overall pigmentation intensity with ongoing global change in areas with strong solar radiation.
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Affiliation(s)
- Heinz‐R. Köhler
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | | | - Christophe Mazzia
- Mediterranean Institute of Marine and Terrestrial Biodiversity and Ecology (IMBE) UMR 7263AMU, CNRSUniversité d´AvignonAvignon Cedex 9France
| | - Helene Eckstein
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Nils Kaczmarek
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Mark C. Bilton
- Namibian University of Science and TechnologyWindhoekNamibia
| | - Janne K. Y. Burmester
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | | | - Luis J. Chueca
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
- Department of Zoology and Animal Cell BiologyFaculty of PharmacyUniversity of the Basque Country (UPV/EHU)Vitoria‐GasteizSpain
| | - Leonardo Favilli
- Dipartimento di Scienze Fisiche, della Terra e dell'AmbienteSezione di Scienze AmbientaliUniversità degli Studi di SienaSienaItaly
| | | | - Giuseppe Manganelli
- Dipartimento di Scienze Fisiche, della Terra e dell'AmbienteSezione di Scienze AmbientaliUniversità degli Studi di SienaSienaItaly
| | - Silvia Mazzuca
- Lab of Plant Biology and Plant ProteomicsDepartment of Chemistry and Chemical TechnologiesUniversity of CalabriaRendeItaly
| | | | - Katharina Peschke
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Amalia Piro
- Lab of Plant Biology and Plant ProteomicsDepartment of Chemistry and Chemical TechnologiesUniversity of CalabriaRendeItaly
| | - Josep Quintana Cardona
- Institut Català de Paleontologia Miquel CrusafontUniversitat Autònoma de BarcelonaEdifici ICTA‐ICP, campus de la UABBarcelonaSpain
- Ciutadella de MenorcaIlles BalearsSpain
| | - Lilith Sawallich
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Alexandra E. Staikou
- Department of ZoologySchool of BiologyAristotle University of ThessalonikiThessalonikiGreece
| | - Henri A. Thomassen
- Comparative ZoologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Rita Triebskorn
- Animal Physiological EcologyInstitute for Evolution and EcologyUniversity of TübingenTübingenGermany
- Steinbeis‐Transfer Centre for Ecotoxicology and EcophysiologyRottenburgGermany
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79
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Shryock DF, Washburn LK, DeFalco LA, Esque TC. Harnessing landscape genomics to identify future climate resilient genotypes in a desert annual. Mol Ecol 2021; 30:698-717. [PMID: 33007116 DOI: 10.1111/mec.15672] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 09/22/2020] [Accepted: 09/22/2020] [Indexed: 12/16/2022]
Abstract
Local adaptation features critically in shaping species responses to changing environments, complicating efforts to revegetate degraded areas. Rapid climate change poses an additional challenge that could reduce fitness of even locally sourced seeds in restoration. Predictive restoration strategies that apply seeds with favourable adaptations to future climate may promote long-term resilience. Landscape genomics is increasingly used to assess spatial patterns in local adaption and may represent a cost-efficient approach for identifying future-adapted genotypes. To demonstrate such an approach, we genotyped 760 plants from 64 Mojave Desert populations of the desert annual Plantago ovata. Genome scans on 5,960 SNPs identified 184 potentially adaptive loci related to climate and satellite vegetation metrics. Causal modelling indicated that variation in potentially adaptive loci was not confounded by isolation by distance or isolation by habitat resistance. A generalized dissimilarity model (GDM) attributed spatial turnover in potentially adaptive loci to temperature, precipitation and NDVI amplitude, a measure of vegetation green-up potential. By integrating a species distribution model (SDM), we find evidence that summer maximum temperature may both constrain the range of P. ovata and drive adaptive divergence in populations exposed to higher temperatures. Within the species' current range, warm-adapted genotypes are predicted to experience a fivefold expansion in climate niche by midcentury and could harbour key adaptations to cope with future climate. We recommend eight seed transfer zones and project each zone into its relative position in future climate. Prioritizing seed collection efforts on genotypes with expanding future habitat represents a promising strategy for restoration practitioners to address rapidly changing climates.
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Affiliation(s)
- Daniel F Shryock
- U.S. Geological Survey, Western Ecological Research Center, Henderson, NV, USA
| | | | - Lesley A DeFalco
- U.S. Geological Survey, Western Ecological Research Center, Henderson, NV, USA
| | - Todd C Esque
- U.S. Geological Survey, Western Ecological Research Center, Henderson, NV, USA
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80
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Monnahan PJ, Colicchio J, Fishman L, Macdonald SJ, Kelly JK. Predicting evolutionary change at the DNA level in a natural Mimulus population. PLoS Genet 2021; 17:e1008945. [PMID: 33439857 PMCID: PMC7837469 DOI: 10.1371/journal.pgen.1008945] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 01/26/2021] [Accepted: 10/26/2020] [Indexed: 12/03/2022] Open
Abstract
Evolution by natural selection occurs when the frequencies of genetic variants change because individuals differ in Darwinian fitness components such as survival or reproductive success. Differential fitness has been demonstrated in field studies of many organisms, but it remains unclear how well we can quantitatively predict allele frequency changes from fitness measurements. Here, we characterize natural selection on millions of Single Nucleotide Polymorphisms (SNPs) across the genome of the annual plant Mimulus guttatus. We use fitness estimates to calibrate population genetic models that effectively predict allele frequency changes into the next generation. Hundreds of SNPs experienced "male selection" in 2013 with one allele at each SNP elevated in frequency among successful male gametes relative to the entire population of adults. In the following generation, allele frequencies at these SNPs consistently shifted in the predicted direction. A second year of study revealed that SNPs had effects on both viability and reproductive success with pervasive trade-offs between fitness components. SNPs favored by male selection were, on average, detrimental to survival. These trade-offs (antagonistic pleiotropy and temporal fluctuations in fitness) may be essential to the long-term maintenance of alleles. Despite the challenges of measuring selection in the wild, the strong correlation between predicted and observed allele frequency changes suggests that population genetic models have a much greater role to play in forward-time prediction of evolutionary change.
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Affiliation(s)
- Patrick J. Monnahan
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, United States of America
| | - Jack Colicchio
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, United States of America
| | - Lila Fishman
- Division of Biological Sciences, University of Montana, Missoula, Minnesota, United States of America
| | - Stuart J. Macdonald
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
| | - John K. Kelly
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
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81
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Kinsler G, Geiler-Samerotte K, Petrov DA. Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation. eLife 2020; 9:e61271. [PMID: 33263280 PMCID: PMC7880691 DOI: 10.7554/elife.61271] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 12/02/2020] [Indexed: 02/07/2023] Open
Abstract
Building a genotype-phenotype-fitness map of adaptation is a central goal in evolutionary biology. It is difficult even when adaptive mutations are known because it is hard to enumerate which phenotypes make these mutations adaptive. We address this problem by first quantifying how the fitness of hundreds of adaptive yeast mutants responds to subtle environmental shifts. We then model the number of phenotypes these mutations collectively influence by decomposing these patterns of fitness variation. We find that a small number of inferred phenotypes can predict fitness of the adaptive mutations near their original glucose-limited evolution condition. Importantly, inferred phenotypes that matter little to fitness at or near the evolution condition can matter strongly in distant environments. This suggests that adaptive mutations are locally modular - affecting a small number of phenotypes that matter to fitness in the environment where they evolved - yet globally pleiotropic - affecting additional phenotypes that may reduce or improve fitness in new environments.
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Affiliation(s)
- Grant Kinsler
- Department of Biology, Stanford UniversityStanfordUnited States
| | - Kerry Geiler-Samerotte
- Department of Biology, Stanford UniversityStanfordUnited States
- Center for Mechanisms of Evolution, School of Life Sciences, Arizona State UniversityTempeUnited States
| | - Dmitri A Petrov
- Department of Biology, Stanford UniversityStanfordUnited States
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82
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Blanco-Pastor JL, Barre P, Keep T, Ledauphin T, Escobar-Gutiérrez A, Roschanski AM, Willner E, Dehmer KJ, Hegarty M, Muylle H, Veeckman E, Vandepoele K, Ruttink T, Roldán-Ruiz I, Manel S, Sampoux JP. Canonical correlations reveal adaptive loci and phenotypic responses to climate in perennial ryegrass. Mol Ecol Resour 2020; 21:849-870. [PMID: 33098268 DOI: 10.1111/1755-0998.13289] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/10/2020] [Accepted: 10/12/2020] [Indexed: 11/28/2022]
Abstract
Germplasm from perennial ryegrass (Lolium perenne L.) natural populations is useful for breeding because of its adaptation to a wide range of climates. Climate-adaptive genes can be detected from associations between genotype, phenotype and climate but an integrated framework for the analysis of these three sources of information is lacking. We used two approaches to identify adaptive loci in perennial ryegrass and their effect on phenotypic traits. First, we combined Genome-Environment Association (GEA) and GWAS analyses. Then, we implemented a new test based on a Canonical Correlation Analysis (CANCOR) to detect adaptive loci. Furthermore, we improved the previous perennial ryegrass gene set by de novo gene prediction and functional annotation of 39,967 genes. GEA-GWAS revealed eight outlier loci associated with both environmental variables and phenotypic traits. CANCOR retrieved 633 outlier loci associated with two climatic gradients, characterized by cold-dry winter versus mild-wet winter and long rainy season versus long summer, and pointed out traits putatively conferring adaptation at the extremes of these gradients. Our CANCOR test also revealed the presence of both polygenic and oligogenic climatic adaptations. Our gene annotation revealed that 374 of the CANCOR outlier loci were positioned within or close to a gene. Co-association networks of outlier loci revealed a potential utility of CANCOR for investigating the interaction of genes involved in polygenic adaptations. The CANCOR test provides an integrated framework to analyse adaptive genomic diversity and phenotypic responses to environmental selection pressures that could be used to facilitate the adaptation of plant species to climate change.
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Affiliation(s)
| | - Philippe Barre
- INRAE, Centre Nouvelle-Aquitaine-Poitiers, Lusignan, France
| | - Thomas Keep
- INRAE, Centre Nouvelle-Aquitaine-Poitiers, Lusignan, France
| | | | | | - Anna Maria Roschanski
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Evelyn Willner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Klaus J Dehmer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Matthew Hegarty
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, UK
| | - Hilde Muylle
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium
| | - Elisabeth Veeckman
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Klaas Vandepoele
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - Tom Ruttink
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium
| | - Isabel Roldán-Ruiz
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Stéphanie Manel
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier, Montpellier, France
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83
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Increasing our ability to predict contemporary evolution. Nat Commun 2020; 11:5592. [PMID: 33154385 PMCID: PMC7645684 DOI: 10.1038/s41467-020-19437-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 10/15/2020] [Indexed: 12/21/2022] Open
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84
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Capblancq T, Fitzpatrick MC, Bay RA, Exposito-Alonso M, Keller SR. Genomic Prediction of (Mal)Adaptation Across Current and Future Climatic Landscapes. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2020. [DOI: 10.1146/annurev-ecolsys-020720-042553] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Signals of local adaptation have been found in many plants and animals, highlighting the heterogeneity in the distribution of adaptive genetic variation throughout species ranges. In the coming decades, global climate change is expected to induce shifts in the selective pressures that shape this adaptive variation. These changes in selective pressures will likely result in varying degrees of local climate maladaptation and spatial reshuffling of the underlying distributions of adaptive alleles. There is a growing interest in using population genomic data to help predict future disruptions to locally adaptive gene-environment associations. One motivation behind such work is to better understand how the effects of changing climate on populations’ short-term fitness could vary spatially across species ranges. Here we review the current use of genomic data to predict the disruption of local adaptation across current and future climates. After assessing goals and motivationsunderlying the approach, we review the main steps and associated statistical methods currently in use and explore our current understanding of the limits and future potential of using genomics to predict climate change (mal)adaptation.
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Affiliation(s)
- Thibaut Capblancq
- Department of Plant Biology, University of Vermont, Burlington, Vermont 05405, USA
| | - Matthew C. Fitzpatrick
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland 21532, USA
| | - Rachael A. Bay
- Department of Evolution and Ecology, University of California, Davis, California 95616, USA
| | - Moises Exposito-Alonso
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Stephen R. Keller
- Department of Plant Biology, University of Vermont, Burlington, Vermont 05405, USA
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85
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Smith S, Brauer CJ, Sasaki M, Unmack PJ, Guillot G, Laporte M, Bernatchez L, Beheregaray LB. Latitudinal variation in climate-associated genes imperils range edge populations. Mol Ecol 2020; 29:4337-4349. [PMID: 32930432 DOI: 10.1111/mec.15637] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 11/28/2022]
Abstract
The ecological impacts of increasing global temperatures are evident in most ecosystems on Earth, but our understanding of how climatic variation influences natural selection and adaptive resilience across latitudes remains largely unknown. Latitudinal gradients allow testing general ecosystem-level theories relevant to climatic adaptation. We assessed differences in adaptive diversity of populations along a latitudinal region spanning highly variable temperate to subtropical climates. We generated and integrated information from environmental mapping, phenotypic variation and genome-wide data from across the geographical range of the rainbowfish Melanotaenia duboulayi, an emerging aquatic system for studies of climate change. We detected, after controlling for spatial population structure, strong interactions between genotypes and environment associated with variation in stream flow and temperature. Some of these hydroclimate-associated genes were found to interact within functional protein networks that contain genes of adaptive significance for projected future climates in rainbowfish. Hydroclimatic selection was also associated with variation in phenotypic traits, including traits known to affect fitness of rainbowfish exposed to different flow environments. Consistent with predictions from the "climatic variability hypothesis," populations exposed to extremes of important environmental variables showed stronger adaptive divergence and less variation in climate-associated genes compared to populations at the centre of the environmental gradient. Our findings suggest that populations that evolved at environmental range margins and at geographical range edges may be more vulnerable to changing climates, a finding with implications for predicting adaptive resilience and managing biodiversity under climate change.
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Affiliation(s)
- Steve Smith
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia.,Konrad Lorenz Institute of Ethology, University of Veterinary Medicine, Vienna, Austria
| | - Chris J Brauer
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia
| | - Minami Sasaki
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia
| | - Peter J Unmack
- Centre for Applied Water Science, University of Canberra, Bruce, ACT, Australia
| | - Gilles Guillot
- International Prevention Research Institute, Dardilly, France
| | - Martin Laporte
- Institut de Biologie Intégrative et des Systèmes, Université Laval Québec, Quebec City, QC, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes, Université Laval Québec, Quebec City, QC, Canada
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86
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Cortés AJ, López-Hernández F, Osorio-Rodriguez D. Predicting Thermal Adaptation by Looking Into Populations' Genomic Past. Front Genet 2020; 11:564515. [PMID: 33101385 PMCID: PMC7545011 DOI: 10.3389/fgene.2020.564515] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/24/2020] [Indexed: 12/18/2022] Open
Abstract
Molecular evolution offers an insightful theory to interpret the genomic consequences of thermal adaptation to previous events of climate change beyond range shifts. However, disentangling often mixed footprints of selective and demographic processes from those due to lineage sorting, recombination rate variation, and genomic constrains is not trivial. Therefore, here we condense current and historical population genomic tools to study thermal adaptation and outline key developments (genomic prediction, machine learning) that might assist their utilization for improving forecasts of populations' responses to thermal variation. We start by summarizing how recent thermal-driven selective and demographic responses can be inferred by coalescent methods and in turn how quantitative genetic theory offers suitable multi-trait predictions over a few generations via the breeder's equation. We later assume that enough generations have passed as to display genomic signatures of divergent selection to thermal variation and describe how these footprints can be reconstructed using genome-wide association and selection scans or, alternatively, may be used for forward prediction over multiple generations under an infinitesimal genomic prediction model. Finally, we move deeper in time to comprehend the genomic consequences of thermal shifts at an evolutionary time scale by relying on phylogeographic approaches that allow for reticulate evolution and ecological parapatric speciation, and end by envisioning the potential of modern machine learning techniques to better inform long-term predictions. We conclude that foreseeing future thermal adaptive responses requires bridging the multiple spatial scales of historical and predictive environmental change research under modern cohesive approaches such as genomic prediction and machine learning frameworks.
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Affiliation(s)
- Andrés J Cortés
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia.,Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia - Sede Medellín, Medellín, Colombia
| | - Felipe López-Hernández
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
| | - Daniela Osorio-Rodriguez
- Division of Geological and Planetary Sciences, California Institute of Technology (Caltech), Pasadena, CA, United States
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87
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Natural Variation in Plant Pluripotency and Regeneration. PLANTS 2020; 9:plants9101261. [PMID: 32987766 PMCID: PMC7598583 DOI: 10.3390/plants9101261] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/03/2020] [Accepted: 09/21/2020] [Indexed: 12/14/2022]
Abstract
Plant regeneration is essential for survival upon wounding and is, hence, considered to be a strong natural selective trait. The capacity of plant tissues to regenerate in vitro, however, varies substantially between and within species and depends on the applied incubation conditions. Insight into the genetic factors underlying this variation may help to improve numerous biotechnological applications that exploit in vitro regeneration. Here, we review the state of the art on the molecular framework of de novo shoot organogenesis from root explants in Arabidopsis, which is a complex process controlled by multiple quantitative trait loci of various effect sizes. Two types of factors are distinguished that contribute to natural regenerative variation: master regulators that are conserved in all experimental systems (e.g., WUSCHEL and related homeobox genes) and conditional regulators whose relative role depends on the explant and the incubation settings. We further elaborate on epigenetic variation and protocol variables that likely contribute to differential explant responsivity within species and conclude that in vitro shoot organogenesis occurs at the intersection between (epi) genetics, endogenous hormone levels, and environmental influences.
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88
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Anderson J, Song BH. Plant adaptation to climate change - Where are we? JOURNAL OF SYSTEMATICS AND EVOLUTION 2020; 58:533-545. [PMID: 33584833 PMCID: PMC7875155 DOI: 10.1111/jse.12649] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Climate change poses critical challenges for population persistence in natural communities, agriculture and environmental sustainability, and food security. In this review, we discuss recent progress in climatic adaptation in plants. We evaluate whether climate change exerts novel selection and disrupts local adaptation, whether gene flow can facilitate adaptive responses to climate change, and if adaptive phenotypic plasticity could sustain populations in the short term. Furthermore, we discuss how climate change influences species interactions. Through a more in-depth understanding of these eco-evolutionary dynamics, we will increase our capacity to predict the adaptive potential of plants under climate change. In addition, we review studies that dissect the genetic basis of plant adaptation to climate change. Finally, we highlight key research gaps, ranging from validating gene function, to elucidating molecular mechanisms, expanding research systems from model species to other natural species, testing the fitness consequences of alleles in natural environments, and designing multifactorial studies that more closely reflect the complex and interactive effects of multiple climate change factors. By leveraging interdisciplinary tools (e.g., cutting-edge omics toolkits, novel ecological strategies, newly-developed genome editing technology), researchers can more accurately predict the probability that species can persist through this rapid and intense period of environmental change, as well as cultivate crops to withstand climate change, and conserve biodiversity in natural systems.
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Affiliation(s)
- Jill Anderson
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
- Authors for correspondence. Bao-Hua Song. ; Jill Anderson.
| | - Bao-Hua Song
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
- Authors for correspondence. Bao-Hua Song. ; Jill Anderson.
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Cortinovis G, Di Vittori V, Bellucci E, Bitocchi E, Papa R. Adaptation to novel environments during crop diversification. CURRENT OPINION IN PLANT BIOLOGY 2020; 56:203-217. [PMID: 32057695 DOI: 10.1016/j.pbi.2019.12.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/19/2019] [Accepted: 12/21/2019] [Indexed: 06/10/2023]
Abstract
In the context of the global challenge of climate change, mitigation strategies are needed to adapt crops to novel environments. The main goal to address this is an understanding of the genetic basis of crop adaptation to different agro-ecological conditions. The movement of crops during the Colombian Exchange that started with the travels of Columbus in 1492 is an example of rapid adaptation to novel environments. Many diversification-related traits have been characterised in multiple crop species, and association-mapping analyses have identified loci involved in these. Here, we present an overview of current knowledge regarding the molecular basis related to the complex patterns of crop adaptation and dissemination, particularly outside their centres of origin. Investigation of the genomic basis of crop expansion offers a powerful contribution to the development of tools to identify and exploit valuable genetic diversity and to improve and design novel resilient crop varieties.
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Affiliation(s)
- Gaia Cortinovis
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - Valerio Di Vittori
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - Elisa Bellucci
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - Elena Bitocchi
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy.
| | - Roberto Papa
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy.
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90
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Indications for a Central Role of Hexokinase Activity in Natural Variation of Heat Acclimation in Arabidopsis thaliana. PLANTS 2020; 9:plants9070819. [PMID: 32610673 PMCID: PMC7411702 DOI: 10.3390/plants9070819] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 06/24/2020] [Accepted: 06/26/2020] [Indexed: 01/06/2023]
Abstract
Diurnal and seasonal changes of abiotic environmental factors shape plant performance and distribution. Changes of growth temperature and light intensity may vary significantly on a diurnal, but also on a weekly or seasonal scale. Hence, acclimation to a changing temperature and light regime is essential for plant survival and propagation. In the present study, we analyzed photosynthetic CO2 assimilation and metabolic regulation of the central carbohydrate metabolism in two natural accessions of Arabidopsis thaliana that originate from north western Russia and south Italy during exposure to heat and a combination of heat and high light. Our findings indicate that it is hardly possible to predict photosynthetic capacities under combined stress from single stress experiments. Further, capacities of hexose phosphorylation were found to be significantly lower in the Italian than in the Russian accession, which could explain an inverted sucrose-to-hexose ratio. Together with the finding of significantly stronger accumulation of anthocyanins under heat/high light, these observations indicate a central role of hexokinase activity in the stabilization of photosynthesis and carbohydrate metabolism during environmental changes.
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91
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Castilla AR, Méndez-Vigo B, Marcer A, Martínez-Minaya J, Conesa D, Picó FX, Alonso-Blanco C. Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana. BMC Evol Biol 2020; 20:71. [PMID: 32571210 PMCID: PMC7310121 DOI: 10.1186/s12862-020-01635-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 06/01/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, is an important asset for the ability of populations to adapt and persist in changing environments. We tested three major hypotheses accounting for genetic differentiation-isolation-by-distance (IBD), isolation-by-environment (IBE) and isolation-by-resistance (IBR)-in the annual plant Arabidopsis thaliana across the Iberian Peninsula, the region with the largest genomic diversity. To that end, we sampled, genotyped with genome-wide SNPs, and analyzed 1772 individuals from 278 populations distributed across the Iberian Peninsula. RESULTS IBD, and to a lesser extent IBE, were the most important drivers of genetic differentiation in A. thaliana. In other words, dispersal limitation, genetic drift, and to a lesser extent local adaptation to environmental gradients, accounted for the within- and among-population distribution of genetic diversity. Analyses applied to the four Iberian genetic clusters, which represent the joint outcome of the long demographic and adaptive history of the species in the region, showed similar results except for one cluster, in which IBR (a function of landscape heterogeneity) was the most important driver of genetic differentiation. Using spatial hierarchical Bayesian models, we found that precipitation seasonality and topsoil pH chiefly accounted for the geographic distribution of genetic diversity in Iberian A. thaliana. CONCLUSIONS Overall, the interplay between the influence of precipitation seasonality on genetic diversity and the effect of restricted dispersal and genetic drift on genetic differentiation emerges as the major forces underlying the evolutionary trajectory of Iberian A. thaliana.
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Affiliation(s)
- Antonio R Castilla
- Centre for Applied Ecology "Prof. Baeta Neves", InBIO, School of Agriculture, University of Lisbon, Lisbon, Portugal
- Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Belén Méndez-Vigo
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Arnald Marcer
- CREAF, Centre de Recerca Ecològica i Aplicacions Forestals, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain
- Universitat Autònoma de Barcelona, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain
| | | | - David Conesa
- Departament d'Estadística i Investigació Operativa, Universitat de València, Valencia, Spain
| | - F Xavier Picó
- Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain.
| | - Carlos Alonso-Blanco
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
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92
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Dauphin B, Wüest RO, Brodbeck S, Zoller S, Fischer MC, Holderegger R, Gugerli F, Rellstab C. Disentangling the effects of geographic peripherality and habitat suitability on neutral and adaptive genetic variation in Swiss stone pine. Mol Ecol 2020; 29:1972-1989. [PMID: 32395881 DOI: 10.1111/mec.15467] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 04/24/2020] [Accepted: 05/04/2020] [Indexed: 01/27/2023]
Abstract
It is generally accepted that the spatial distribution of neutral genetic diversity within a species' native range mostly depends on effective population size, demographic history, and geographic position. However, it is unclear how genetic diversity at adaptive loci correlates with geographic peripherality or with habitat suitability within the ecological niche. Using exome-wide genomic data and distribution maps of the Alpine range, we first tested whether geographic peripherality correlates with four measures of population genetic diversity at > 17,000 SNP loci in 24 Alpine populations (480 individuals) of Swiss stone pine (Pinus cembra) from Switzerland. To distinguish between neutral and adaptive SNP sets, we used four approaches (two gene diversity estimates, FST outlier test, and environmental association analysis) that search for signatures of selection. Second, we established ecological niche models for P. cembra in the study range and investigated how habitat suitability correlates with genetic diversity at neutral and adaptive loci. All estimates of neutral genetic diversity decreased with geographic peripherality, but were uncorrelated with habitat suitability. However, heterozygosity (He ) at adaptive loci based on Tajima's D declined significantly with increasingly suitable conditions. No other diversity estimates at adaptive loci were correlated with habitat suitability. Our findings suggest that populations at the edge of a species' geographic distribution harbour limited neutral genetic diversity due to demographic properties. Moreover, we argue that populations from suitable habitats went through strong selection processes, are thus well adapted to local conditions, and therefore exhibit reduced genetic diversity at adaptive loci compared to populations at niche margins.
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Affiliation(s)
| | - Rafael O Wüest
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Sabine Brodbeck
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Stefan Zoller
- Genetic Diversity Centre (GDC), ETH Zurich, Zurich, Switzerland
| | - Martin C Fischer
- Institute of Integrative Biology (IBZ), ETH Zurich, Zurich, Switzerland
| | - Rolf Holderegger
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.,Institute of Integrative Biology (IBZ), ETH Zurich, Zurich, Switzerland
| | - Felix Gugerli
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
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93
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Liang Z, Qiu Y, Schnable JC. Genome-Phenome Wide Association in Maize and Arabidopsis Identifies a Common Molecular and Evolutionary Signature. MOLECULAR PLANT 2020; 13:907-922. [PMID: 32171733 DOI: 10.1016/j.molp.2020.03.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 01/20/2020] [Accepted: 03/08/2020] [Indexed: 06/10/2023]
Abstract
Linking natural genetic variation to trait variation can help determine the functional roles ofdifferent genes. Variations of one or several traits are often assessed separately. High-throughput phenotyping and data mining can capture dozens or hundreds of traits from the same individuals. Here, we test the association between markers within a gene and many traits simultaneously. This genome-phenome wide association study (GPWAS) is both a multi-marker and multi-trait test. Genes identified using GPWAS with 260 phenotypic traits in maize were enriched for genes independently linked to phenotypic variation. Traits associated with classical mutants were consistent with reported phenotypes for mutant alleles. Genes linked to phenomic variation in maize using GPWAS shared molecular, population genetic, and evolutionary features with classical mutants in maize. Genes linked to phenomic variation in Arabidopsis using GPWAS are significantly enriched in genes with known loss-of-function phenotypes. GPWAS may be an effective strategy to identify genes in which loss-of-function alleles produce mutant phenotypes. The shared signatures present in classical mutants and genes identified using GPWAS may be markers for genes with a role in specifying plant phenotypes generally or pleiotropy specifically.
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Affiliation(s)
- Zhikai Liang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA; Plant Science Innovation Center, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Yumou Qiu
- Department of Statistics, Iowa State University, Ames, IA, USA
| | - James C Schnable
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA; Plant Science Innovation Center, University of Nebraska-Lincoln, Lincoln, NE, USA.
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94
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Lin YP, Lu CY, Lee CR. The climatic association of population divergence and future extinction risk of Solanum pimpinellifolium. AOB PLANTS 2020; 12:plaa012. [PMID: 32257092 PMCID: PMC7107907 DOI: 10.1093/aobpla/plaa012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 03/11/2020] [Indexed: 06/01/2023]
Abstract
Under intraspecific differentiation driven by differential climatic adaptation, it may be expected that intraspecific genetic groups occur at distinct environments. Populations occupying different niches may therefore differ in their ability to cope with climate change. Here, we addressed this hypothesis with a wild tomato, Solanum pimpinellifolium. This species is distributed from the west side of Andes to the coastal region in Peru and Ecuador and occupies a wide environmental diversity. This environmental diversity is related to the genetic structure of the species providing an ideal material to investigate the isolation by environment hypothesis. While previous hypothesis stated that S. pimpinellifolium originated from northern Peru and migrated northwards and southwards, our results support that S. pimpinellifolium originated from Ecuador and expanded to northern and southern Peru, and during this process, the niche space of S. pimpinellifolium became more associated with cold and drought. We further predicted its fate under anthropogenic climate change. According to our predictions, the northern group will maintain its current extent or even expand to the entire western region of Ecuador. In contrast, we predicted low habitat suitability for the southern group which could potentially lead to the shrinkage of its distribution. In conclusion, we revealed the distinct fates among the differentiated populations driven by environment under global warming conditions.
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Affiliation(s)
- Ya-Ping Lin
- Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan
| | - Cheng-Yueh Lu
- Institute of Plant Biology, National Taiwan University, Taipei, Taiwan
| | - Cheng-Ruei Lee
- Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan
- Institute of Plant Biology, National Taiwan University, Taipei, Taiwan
- Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan
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95
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Capblancq T, Morin X, Gueguen M, Renaud J, Lobreaux S, Bazin E. Climate-associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps. J Evol Biol 2020; 33:783-796. [PMID: 32125745 DOI: 10.1111/jeb.13610] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/30/2020] [Accepted: 02/23/2020] [Indexed: 01/04/2023]
Abstract
Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could impede the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of Fagus sylvatica along a gradient of populations in the French Alps. Using a double-digest restriction-site-associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of F. sylvatica in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for F. sylvatica in the Alps, which could be helpful for future management plans.
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Affiliation(s)
| | - Xavier Morin
- CNRS, EPHE, CEFE UMR 5175, Université de Montpellier, Université Paul-Valéry Montpellier, Montpellier, France
| | - Maya Gueguen
- CNRS, LECA UMR 5553, Université Grenoble Alpes, Grenoble, France
| | - Julien Renaud
- CNRS, LECA UMR 5553, Université Grenoble Alpes, Grenoble, France
| | | | - Eric Bazin
- CNRS, LECA UMR 5553, Université Grenoble Alpes, Grenoble, France
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96
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Cortinovis G, Frascarelli G, Di Vittori V, Papa R. Current State and Perspectives in Population Genomics of the Common Bean. PLANTS (BASEL, SWITZERLAND) 2020; 9:E330. [PMID: 32150958 PMCID: PMC7154925 DOI: 10.3390/plants9030330] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 02/27/2020] [Accepted: 03/03/2020] [Indexed: 11/17/2022]
Abstract
* Correspondence: r [...].
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Affiliation(s)
| | | | | | - Roberto Papa
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali (D3A), Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy; (G.C.); (G.F.); (V.D.V.)
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97
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Seasonal timing adaptation across the geographic range of Arabidopsis thaliana. Proc Natl Acad Sci U S A 2020; 117:9665-9667. [PMID: 32086393 DOI: 10.1073/pnas.1921798117] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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98
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Scossa F, Fernie AR. The evolution of metabolism: How to test evolutionary hypotheses at the genomic level. Comput Struct Biotechnol J 2020; 18:482-500. [PMID: 32180906 PMCID: PMC7063335 DOI: 10.1016/j.csbj.2020.02.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 02/12/2020] [Accepted: 02/13/2020] [Indexed: 01/21/2023] Open
Abstract
The origin of primordial metabolism and its expansion to form the metabolic networks extant today represent excellent systems to study the impact of natural selection and the potential adaptive role of novel compounds. Here we present the current hypotheses made on the origin of life and ancestral metabolism and present the theories and mechanisms by which the large chemical diversity of plants might have emerged along evolution. In particular, we provide a survey of statistical methods that can be used to detect signatures of selection at the gene and population level, and discuss potential and limits of these methods for investigating patterns of molecular adaptation in plant metabolism.
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Affiliation(s)
- Federico Scossa
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), Via Ardeatina 546, 00178 Rome, Italy
| | - Alisdair R. Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria
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99
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Waldvogel A, Feldmeyer B, Rolshausen G, Exposito‐Alonso M, Rellstab C, Kofler R, Mock T, Schmid K, Schmitt I, Bataillon T, Savolainen O, Bergland A, Flatt T, Guillaume F, Pfenninger M. Evolutionary genomics can improve prediction of species' responses to climate change. Evol Lett 2020; 4:4-18. [PMID: 32055407 PMCID: PMC7006467 DOI: 10.1002/evl3.154] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 10/31/2019] [Accepted: 11/26/2019] [Indexed: 01/08/2023] Open
Abstract
Global climate change (GCC) increasingly threatens biodiversity through the loss of species, and the transformation of entire ecosystems. Many species are challenged by the pace of GCC because they might not be able to respond fast enough to changing biotic and abiotic conditions. Species can respond either by shifting their range, or by persisting in their local habitat. If populations persist, they can tolerate climatic changes through phenotypic plasticity, or genetically adapt to changing conditions depending on their genetic variability and census population size to allow for de novo mutations. Otherwise, populations will experience demographic collapses and species may go extinct. Current approaches to predicting species responses to GCC begin to combine ecological and evolutionary information for species distribution modelling. Including an evolutionary dimension will substantially improve species distribution projections which have not accounted for key processes such as dispersal, adaptive genetic change, demography, or species interactions. However, eco-evolutionary models require new data and methods for the estimation of a species' adaptive potential, which have so far only been available for a small number of model species. To represent global biodiversity, we need to devise large-scale data collection strategies to define the ecology and evolutionary potential of a broad range of species, especially of keystone species of ecosystems. We also need standardized and replicable modelling approaches that integrate these new data to account for eco-evolutionary processes when predicting the impact of GCC on species' survival. Here, we discuss different genomic approaches that can be used to investigate and predict species responses to GCC. This can serve as guidance for researchers looking for the appropriate experimental setup for their particular system. We furthermore highlight future directions for moving forward in the field and allocating available resources more effectively, to implement mitigation measures before species go extinct and ecosystems lose important functions.
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Affiliation(s)
- Ann‐Marie Waldvogel
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | - Barbara Feldmeyer
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | - Gregor Rolshausen
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | | | | | - Robert Kofler
- Institute of Population GeneticsVetmeduni ViennaAustria
| | - Thomas Mock
- School of Environmental SciencesUniversity of East AngliaNorwichUnited Kingdom
| | - Karl Schmid
- Institute of Plant Breeding, Seed Science and Population GeneticsUniversity of HohenheimStuttgartGermany
| | - Imke Schmitt
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
- Institute of Ecology, Evolution and DiversityGoethe‐UniversityFrankfurt am MainGermany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE‐TBG)Frankfurt am MainGermany
| | | | | | - Alan Bergland
- Department of BiologyUniversity of VirginiaCharlottesvilleVirginia
| | - Thomas Flatt
- Department of BiologyUniversity of FribourgFribourgSwitzerland
| | - Frederic Guillaume
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichZürichSwitzerland
| | - Markus Pfenninger
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE‐TBG)Frankfurt am MainGermany
- Institute for Organismic and Molecular EvolutionJohannes Gutenberg UniversityMainzGermany
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100
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Togninalli M, Seren Ü, Freudenthal JA, Monroe JG, Meng D, Nordborg M, Weigel D, Borgwardt K, Korte A, Grimm DG. AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. Nucleic Acids Res 2020; 48:D1063-D1068. [PMID: 31642487 PMCID: PMC7145550 DOI: 10.1093/nar/gkz925] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 09/26/2019] [Accepted: 10/08/2019] [Indexed: 12/23/2022] Open
Abstract
Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered and published for the model plant Arabidopsis thaliana. This success and the free availability of full genomes and phenotypic data for more than 1,000 different natural inbred lines led to the development of several data repositories. AraPheno (https://arapheno.1001genomes.org) serves as a central repository of population-scale phenotypes in A. thaliana, while the AraGWAS Catalog (https://aragwas.1001genomes.org) provides a publicly available, manually curated and standardized collection of marker-trait associations for all available phenotypes from AraPheno. In this major update, we introduce the next generation of both platforms, including new data, features and tools. We included novel results on associations between knockout-mutations and all AraPheno traits. Furthermore, AraPheno has been extended to display RNA-Seq data for hundreds of accessions, providing expression information for over 28 000 genes for these accessions. All data, including the imputed genotype matrix used for GWAS, are easily downloadable via the respective databases.
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Affiliation(s)
- Matteo Togninalli
- Machine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Ümit Seren
- Gregor Mendel Institute of Molecular Plant Biology, Vienna, Austria
| | - Jan A Freudenthal
- Center for Computational and Theoretical Biology, University Würzburg, Würzburg, Germany
| | - J Grey Monroe
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Dazhe Meng
- Gregor Mendel Institute of Molecular Plant Biology, Vienna, Austria
- Google, Mountain View, USA
| | - Magnus Nordborg
- Gregor Mendel Institute of Molecular Plant Biology, Vienna, Austria
| | - Detlef Weigel
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Karsten Borgwardt
- Machine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Arthur Korte
- Center for Computational and Theoretical Biology, University Würzburg, Würzburg, Germany
| | - Dominik G Grimm
- Technical University of Munich, TUM Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany
- Weihenstephan-Triesdorf University of Applied Sciences, Bioinformatics, Straubing, Germany
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