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Yi X, Kemppainen P, Reid K, Chen Y, Rastas P, Fraimout A, Merilä J. Heterogeneous genomic architecture of skeletal armour traits in sticklebacks. J Evol Biol 2024; 37:995-1008. [PMID: 39073424 DOI: 10.1093/jeb/voae083] [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: 02/01/2024] [Revised: 04/28/2024] [Accepted: 07/27/2024] [Indexed: 07/30/2024]
Abstract
Whether populations adapt to similar selection pressures using the same underlying genetic variants depends on population history and the distribution of standing genetic variation at the metapopulation level. Studies of sticklebacks provide a case in point: when colonizing and adapting to freshwater habitats, three-spined sticklebacks (Gasterosteus aculeatus) with high gene flow tend to fix the same adaptive alleles in the same major loci, whereas nine-spined sticklebacks (Pungitius pungitius) with limited gene flow tend to utilize a more heterogeneous set of loci. In accordance with this, we report results of quantitative trait locus (QTL) analyses using a backcross design showing that lateral plate number variation in the western European nine-spined sticklebacks mapped to 3 moderate-effect QTL, contrary to the major-effect QTL in three-spined sticklebacks and different from the 4 QTL previously identified in the eastern European nine-spined sticklebacks. Furthermore, several QTL were identified associated with variation in lateral plate size, and 3 moderate-effect QTL with body size. Together, these findings indicate more heterogenous and polygenic genetic underpinnings of skeletal armour variation in nine-spined than three-spined sticklebacks, indicating limited genetic parallelism underlying armour trait evolution in the family Gasterostidae.
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Affiliation(s)
- Xueling Yi
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Petri Kemppainen
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
| | - Kerry Reid
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Ying Chen
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Pasi Rastas
- Institute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Antoine Fraimout
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
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2
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Whiting JR, Booker TR, Rougeux C, Lind BM, Singh P, Lu M, Huang K, Whitlock MC, Aitken SN, Andrew RL, Borevitz JO, Bruhl JJ, Collins TL, Fischer MC, Hodgins KA, Holliday JA, Ingvarsson PK, Janes JK, Khandaker M, Koenig D, Kreiner JM, Kremer A, Lascoux M, Leroy T, Milesi P, Murray KD, Pyhäjärvi T, Rellstab C, Rieseberg LH, Roux F, Stinchcombe JR, Telford IRH, Todesco M, Tyrmi JS, Wang B, Weigel D, Willi Y, Wright SI, Zhou L, Yeaman S. The genetic architecture of repeated local adaptation to climate in distantly related plants. Nat Ecol Evol 2024:10.1038/s41559-024-02514-5. [PMID: 39187610 DOI: 10.1038/s41559-024-02514-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 07/22/2024] [Indexed: 08/28/2024]
Abstract
Closely related species often use the same genes to adapt to similar environments. However, we know little about why such genes possess increased adaptive potential and whether this is conserved across deeper evolutionary lineages. Adaptation to climate presents a natural laboratory to test these ideas, as even distantly related species must contend with similar stresses. Here, we re-analyse genomic data from thousands of individuals from 25 plant species as diverged as lodgepole pine and Arabidopsis (~300 Myr). We test for genetic repeatability based on within-species associations between allele frequencies in genes and variation in 21 climate variables. Our results demonstrate significant statistical evidence for genetic repeatability across deep time that is not expected under randomness, identifying a suite of 108 gene families (orthogroups) and gene functions that repeatedly drive local adaptation to climate. This set includes many orthogroups with well-known functions in abiotic stress response. Using gene co-expression networks to quantify pleiotropy, we find that orthogroups with stronger evidence for repeatability exhibit greater network centrality and broader expression across tissues (higher pleiotropy), contrary to the 'cost of complexity' theory. These gene families may be important in helping wild and crop species cope with future climate change, representing important candidates for future study.
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Affiliation(s)
- James R Whiting
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.
| | - Tom R Booker
- Department of Zoology, Faculty of Science, University of British Columbia, Vancouver, British Colombia, Canada
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Clément Rougeux
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Brandon M Lind
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Pooja Singh
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Mengmeng Lu
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Kaichi Huang
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael C Whitlock
- Department of Zoology, Faculty of Science, University of British Columbia, Vancouver, British Colombia, Canada
| | - Sally N Aitken
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rose L Andrew
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Justin O Borevitz
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Jeremy J Bruhl
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Timothy L Collins
- Department of Planning and Environment, Queanbeyan, New South Wales, Australia
- Department of Climate Change, Energy, the Environment and Water, Queanbeyan, New South Wales, Australia
| | - Martin C Fischer
- ETH Zurich: Institute of Integrative Biology (IBZ), ETH Zurich, Zurich, Switzerland
| | - Kathryn A Hodgins
- School of Biological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Jason A Holliday
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Pär K Ingvarsson
- Department of Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jasmine K Janes
- Biology Department, Vancouver Island University, Nanaimo, British Columbia, Canada
- Department of Ecosystem Science and Management, University of Northern British Columbia, Prince George, British Columbia, Canada
- Species Survival Commission, Orchid Specialist Group, IUCN North America, Washington, DC, USA
| | - Momena Khandaker
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Daniel Koenig
- Department of Botany and Plant Sciences, University of California, Riverside, CA, USA
- Institute for Integrative Genome Biology, University of California, Riverside, CA, USA
| | - Julia M Kreiner
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Antoine Kremer
- UMR BIOGECO, INRAE, Université de Bordeaux; 69 Route d'Arcachon, Cestas, France
| | - Martin Lascoux
- Program in Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Thibault Leroy
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
| | - Pascal Milesi
- Program in Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Kevin D Murray
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
- Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Tanja Pyhäjärvi
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland
| | | | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fabrice Roux
- Laboratoire des Interactions Plantes-Microbes-Environnement, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - John R Stinchcombe
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Ian R H Telford
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Marco Todesco
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Biology, University of British Columbia, Kelowna, British Columbia, Canada
| | - Jaakko S Tyrmi
- Department of Ecology and Genetics, University of Oulu, Oulu, Finland
| | - Baosheng Wang
- South China National Botanical Garden, Guangzhou, China
| | - Detlef Weigel
- Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Yvonne Willi
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Stephen I Wright
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Lecong Zhou
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Sam Yeaman
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.
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3
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Aykanat T, McLennan D, Metcalfe NB, Prokkola JM. Early survival in Atlantic salmon is associated with parental genotypes at loci linked to timing of maturation. Evolution 2024; 78:1441-1452. [PMID: 38736399 DOI: 10.1093/evolut/qpae072] [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: 01/08/2024] [Revised: 04/25/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
Large effect loci often contain genes with critical developmental functions and potentially broad effects across life stages. However, their life stage-specific fitness consequences are rarely explored. In Atlantic salmon, variation in two large-effect loci, six6 and vgll3, is linked to age at maturity and several physiological and behavioral traits in early life. By genotyping the progeny of wild Atlantic salmon that were planted into natural streams with nutrient manipulations, we tested if genetic variation in these loci is associated with survival in early life. We found that higher early-life survival was linked to the genotype associated with late maturation in the vgll3, but with early maturation in the six6 locus. These effects were significant in high nutrients but not in low-nutrient streams. The differences in early survival were not explained by additive genetic effects in the offspring generation but by maternal genotypes in the six6 locus and by both parents' genotypes in the vgll3 locus. Our results suggest that indirect genetic effects of large-effect loci can be significant determinants of offspring fitness. This study demonstrates an intriguing case of how large-effect loci can exhibit complex fitness associations across life stages in the wild and indicates that predicting evolutionary dynamics is difficult.
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Affiliation(s)
- Tutku Aykanat
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Darryl McLennan
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Neil B Metcalfe
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Jenni M Prokkola
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
- Natural Resources Institute Finland (LUKE), Oulu, Finland
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4
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Luo M, Hu J. Alternative splicing in parallel evolution and the evolutionary potential in sticklebacks. J Anim Ecol 2024. [PMID: 39056271 DOI: 10.1111/1365-2656.14157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 06/28/2024] [Indexed: 07/28/2024]
Abstract
Repeatability of adaptation to similar environments provides opportunity to evaluate the predictability of natural selection. While many studies have investigated gene expression differences between populations adapted to contrasting environments, the role of post-transcriptional processes such as alternative splicing has rarely been evaluated in the context of parallel adaptation. To address the aforementioned knowledge gap, we reanalysed transcriptomic data from three pairs of threespine stickleback (Gasterosteus aculeatus) ecotypes adapted to marine or freshwater environment. First, we identified genes with repeated expression or splicing divergence across ecotype pairs, and compared the genetic architecture and biological processes between parallelly expressed and parallelly spliced loci. Second, we analysed the extent to which parallel adaptation was reflected at gene expression and alternative splicing levels. Finally, we tested how the two axes of transcriptional variation differed in their potential for evolutionary change. Although both repeated differential splicing and differential expression across ecotype pairs showed tendency for parallel divergence, the degree of parallelism was lower for splicing than expression. Furthermore, parallel divergences in splicing and expression were likely to be associated with distinct cis-regulatory genetic variants and functionally unique set of genes. Finally, we found that parallelly spliced genes showed higher nucleotide diversity than parallelly expressed genes, indicating splicing is less susceptible to genetic variation erosion during parallel adaptation. Our results provide novel insight into the role of splicing in parallel adaptation, and underscore the contribution of splicing to the evolutionary potential of wild populations under environmental change.
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Affiliation(s)
- Man Luo
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Juntao Hu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
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5
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Ahrens CW, Murray K, Mazanec RA, Ferguson S, Jones A, Tissue DT, Byrne M, Borevitz JO, Rymer PD. Genomic determinants, architecture, and constraints in drought-related traits in Corymbia calophylla. BMC Genomics 2024; 25:640. [PMID: 38937661 PMCID: PMC11209971 DOI: 10.1186/s12864-024-10531-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Drought adaptation is critical to many tree species persisting under climate change, however our knowledge of the genetic basis for trees to adapt to drought is limited. This knowledge gap impedes our fundamental understanding of drought response and application to forest production and conservation. To improve our understanding of the genomic determinants, architecture, and trait constraints, we assembled a reference genome and detected ~ 6.5 M variants in 432 phenotyped individuals for the foundational tree Corymbia calophylla. RESULTS We found 273 genomic variants determining traits with moderate heritability (h2SNP = 0.26-0.64). Significant variants were predominantly in gene regulatory elements distributed among several haplotype blocks across all chromosomes. Furthermore, traits were constrained by frequent epistatic and pleiotropic interactions. CONCLUSIONS Our results on the genetic basis for drought traits in Corymbia calophylla have several implications for the ability to adapt to climate change: (1) drought related traits are controlled by complex genomic architectures with large haplotypes, epistatic, and pleiotropic interactions; (2) the most significant variants determining drought related traits occurred in regulatory regions; and (3) models incorporating epistatic interactions increase trait predictions. Our findings indicate that despite moderate heritability drought traits are likely constrained by complex genomic architecture potentially limiting trees response to climate change.
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Affiliation(s)
- Collin W Ahrens
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia.
- Cesar Australia, Brunswick, VIC, 3058, Australia.
| | - Kevin Murray
- Research School of Biology, Australian National University, Canberra, ACT, 2600, Australia
| | - Richard A Mazanec
- Biodiversity and Conservation Science, Western Australian Department of Biodiversity, Conservation and Attractions, Kensington, WA, 6151, Australia
| | - Scott Ferguson
- Research School of Biology, Australian National University, Canberra, ACT, 2600, Australia
| | - Ashley Jones
- Research School of Biology, Australian National University, Canberra, ACT, 2600, Australia
| | - David T Tissue
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia
| | - Margaret Byrne
- Biodiversity and Conservation Science, Western Australian Department of Biodiversity, Conservation and Attractions, Kensington, WA, 6151, Australia
| | - Justin O Borevitz
- Research School of Biology, Australian National University, Canberra, ACT, 2600, Australia
| | - Paul D Rymer
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia
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6
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Choy S, Thakur S, Polyakov E, Abdelaziz J, Lloyd E, Enriquez M, Jayan N, Fily Y, McGaugh S, Keene AC, Kowalko JE. Mutations in the albinism gene oca2 alter vision-dependent prey capture behavior in the Mexican tetra. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.17.599419. [PMID: 38948816 PMCID: PMC11212897 DOI: 10.1101/2024.06.17.599419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Understanding the phenotypic consequences of naturally occurring genetic changes, as well as their impact on fitness, is fundamental to understanding how organisms adapt to an environment. This is critical when genetic variants have pleiotropic effects, as determining how each phenotype impacted by a gene contributes to fitness is essential to understand how and why traits have evolved. A striking example of a pleiotropic gene contributing to trait evolution is the oca2 gene, coding mutations in which underlie albinism and reductions of sleep in the blind Mexican cavefish, Astyanax mexicanus. Here, we characterize the effects of mutations in the oca2 gene on larval prey capture. We find that when conspecific surface fish with engineered mutations in the oca2 allele are hunting, they use cave-like, wide angle strikes to capture prey. However, unlike cavefish or surface fish in the dark, which rely on lateral line mediated hunting, oca2 mutant surface fish use vision when striking at prey from wide angles. Finally, we find that while oca2 mutant surface fish do not outcompete pigmented surface siblings in the dark, pigmented fish outcompete albino fish in the light. This raises the possibility that albinism is detrimental to larval feeding in a surface-like lighted environment, but does not have negative consequences for fish in cave-like, dark environments. Together, these results demonstrate that oca2 plays a role in larval feeding behavior in A. mexicanus. Further, they expand our understanding of the pleiotropic phenotypic consequences of oca2 in cavefish evolution.
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Affiliation(s)
- Stefan Choy
- Department of Biological Sciences, Lehigh University, Bethlehem, PA
| | - Sunishka Thakur
- Department of Integrative Biology, University of Texas at Austin, Austin, TX
| | - Ellen Polyakov
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL
| | - Jennah Abdelaziz
- Department of Biological Sciences, Lehigh University, Bethlehem, PA
| | | | - Maya Enriquez
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN
| | - Nikita Jayan
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL
| | - Yaouen Fily
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL
| | - Suzanne McGaugh
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN
| | - Alex C Keene
- Department of Biology, Texas A&M, College Station, TX
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7
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Durkin SM, Ballinger MA, Nachman MW. Tissue-specific and cis-regulatory changes underlie parallel, adaptive gene expression evolution in house mice. PLoS Genet 2024; 20:e1010892. [PMID: 38306396 PMCID: PMC10866503 DOI: 10.1371/journal.pgen.1010892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/14/2024] [Accepted: 01/22/2024] [Indexed: 02/04/2024] Open
Abstract
Changes in gene regulation have long been appreciated as a driving force of adaptive evolution, however the relative contributions of cis- and trans-acting changes to gene regulation over short evolutionary timescales remain unclear. Instances of recent, parallel phenotypic evolution provide an opportunity to assess whether parallel patterns are seen at the level of gene expression, and to assess the relative contribution of cis- and trans- changes to gene regulation in the early stages of divergence. Here, we studied gene expression in liver and brown adipose tissue in two wild-derived strains of house mice that independently adapted to cold, northern environments, and we compared them to a strain of house mice from a warm, tropical environment. To investigate gene regulatory evolution, we studied expression in parents and allele-specific expression in F1 hybrids of crosses between warm-adapted and cold-adapted strains. First, we found that the different cold-adapted mice showed both unique and shared changes in expression, but that the proportion of shared changes (i.e. parallelism) was greater than expected by chance. Second, we discovered that expression evolution occurred largely at tissue-specific and cis-regulated genes, and that these genes were over-represented in parallel cases of evolution. Finally, we integrated the expression data with scans for selection in natural populations and found substantial parallelism in the two northern populations for genes under selection. Furthermore, selection outliers were associated with cis-regulated genes more than expected by chance; cis-regulated genes under selection influenced phenotypes such as body size, immune functioning, and activity level. These results demonstrate that parallel patterns of gene expression in mice that have independently adapted to cold environments are driven largely by tissue-specific and cis-regulatory changes, providing insight into the mechanisms of adaptive gene regulatory evolution at the earliest stages of divergence.
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Affiliation(s)
- Sylvia M. Durkin
- Museum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America
| | - Mallory A. Ballinger
- Museum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America
| | - Michael W. Nachman
- Museum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America
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8
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Schlötterer C. How predictable is adaptation from standing genetic variation? Experimental evolution in Drosophila highlights the central role of redundancy and linkage disequilibrium. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220046. [PMID: 37004724 PMCID: PMC10067264 DOI: 10.1098/rstb.2022.0046] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023] Open
Abstract
Experimental evolution is well-suited to test the predictability of evolution without the confounding effects of inaccurate forecasts about future environments. Most of the literature about parallel (and thus predictable) evolution has been carried out in asexual microorganisms, which adapt by de novo mutations. Nevertheless, parallel evolution has also been studied in sexual species at the genomic level. Here, I review the evidence for parallel evolution in Drosophila, the best-studied obligatory outcrossing model for adaptation from standing genetic variation in the laboratory. Similar to asexual microorganisms, evidence for parallel evolution varies between the focal hierarchical levels. Selected phenotypes consistently respond in a very predicable way, but the underlying allele frequency changes are much less predictable. The most important insight is that the predictability of the genomic selection response for polygenic traits depends highly on the founder population and to a much lesser extent on the selection regime. This implies that predicting adaptive genomic response is challenging and requires a good understanding of the adaptive architecture (including linkage disequilibrium) in the ancestral populations. This article is part of the theme issue 'Interdisciplinary approaches to predicting evolutionary biology'.
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Affiliation(s)
- Christian Schlötterer
- Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Wien, Austria
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9
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Martin RA, Tate AT. Pleiotropy promotes the evolution of inducible immune responses in a model of host-pathogen coevolution. PLoS Comput Biol 2023; 19:e1010445. [PMID: 37022993 PMCID: PMC10079112 DOI: 10.1371/journal.pcbi.1010445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 02/23/2023] [Indexed: 04/07/2023] Open
Abstract
Components of immune systems face significant selective pressure to efficiently use organismal resources, mitigate infection, and resist parasitic manipulation. A theoretically optimal immune defense balances investment in constitutive and inducible immune components depending on the kinds of parasites encountered, but genetic and dynamic constraints can force deviation away from theoretical optima. One such potential constraint is pleiotropy, the phenomenon where a single gene affects multiple phenotypes. Although pleiotropy can prevent or dramatically slow adaptive evolution, it is prevalent in the signaling networks that compose metazoan immune systems. We hypothesized that pleiotropy is maintained in immune signaling networks despite slowed adaptive evolution because it provides some other advantage, such as forcing network evolution to compensate in ways that increase host fitness during infection. To study the effects of pleiotropy on the evolution of immune signaling networks, we used an agent-based modeling approach to evolve a population of host immune systems infected by simultaneously co-evolving parasites. Four kinds of pleiotropic restrictions on evolvability were incorporated into the networks, and their evolutionary outcomes were compared to, and competed against, non-pleiotropic networks. As the networks evolved, we tracked several metrics of immune network complexity, relative investment in inducible and constitutive defenses, and features associated with the winners and losers of competitive simulations. Our results suggest non-pleiotropic networks evolve to deploy highly constitutive immune responses regardless of parasite prevalence, but some implementations of pleiotropy favor the evolution of highly inducible immunity. These inducible pleiotropic networks are no less fit than non-pleiotropic networks and can out-compete non-pleiotropic networks in competitive simulations. These provide a theoretical explanation for the prevalence of pleiotropic genes in immune systems and highlight a mechanism that could facilitate the evolution of inducible immune responses.
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Affiliation(s)
- Reese A. Martin
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Ann T. Tate
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
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10
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Poore HA, Stuart YE, Rennison DJ, Roesti M, Hendry AP, Bolnick DI, Peichel CL. Repeated genetic divergence plays a minor role in repeated phenotypic divergence of lake-stream stickleback. Evolution 2023; 77:110-122. [PMID: 36622692 DOI: 10.1093/evolut/qpac025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/22/2022] [Accepted: 11/15/2022] [Indexed: 01/10/2023]
Abstract
Recent studies have shown that the repeated evolution of similar phenotypes in response to similar ecological conditions (here "parallel evolution") often occurs through mutations in the same genes. However, many previous studies have focused on known candidate genes in a limited number of systems. Thus, the question of how often parallel phenotypic evolution is due to parallel genetic changes remains open. Here, we used quantitative trait locus (QTL) mapping in F2 intercrosses between lake and stream threespine stickleback (Gasterosteus aculeatus) from four independent watersheds on Vancouver Island, Canada to determine whether the same QTL underlie divergence in the same phenotypes across, between, and within watersheds. We find few parallel QTL, even in independent crosses from the same watershed or for phenotypes that have diverged in parallel. These findings suggest that different mutations can lead to similar phenotypes. The low genetic repeatability observed in these lake-stream systems contrasts with the higher genetic repeatability observed in other stickleback systems. We speculate that differences in evolutionary history, gene flow, and/or the strength and direction of selection might explain these differences in genetic parallelism and emphasize that more work is needed to move beyond documenting genetic parallelism to identifying the underlying causes.
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Affiliation(s)
- Hilary A Poore
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Divisions of Basic Sciences and Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Yoel E Stuart
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States.,Department of Biology, Loyola University Chicago, Chicago, IL, United States
| | - Diana J Rennison
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Division of Biological Sciences, University of California at San Diego, La Jolla, CA, United States
| | - Marius Roesti
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Andrew P Hendry
- Redpath Museum and Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Daniel I Bolnick
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States.,Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, United States
| | - Catherine L Peichel
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Divisions of Basic Sciences and Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
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Abstract
The rediscovery of Mendel’s work showing that the heredity of phenotypes is controlled by discrete genes was followed by the reconciliation of Mendelian genetics with evolution by natural selection in the middle of the last century with the Modern Synthesis. In the past two decades, dramatic advances in genomic methods have facilitated the identification of the loci, genes, and even individual mutations that underlie phenotypic variants that are the putative targets of natural selection. Moreover, these methods have also changed how we can study adaptation by flipping the problem around, allowing us to first examine what loci show evidence of having been under selection, and then connecting these genetic variants to phenotypic variation. As a result, we now have an expanding list of actual genetic changes that underlie potentially adaptive phenotypic variation. Here, we synthesize how considering the effects of these adaptive loci in the context of cellular environments, genomes, organisms, and populations has provided new insights to the genetic architecture of adaptation.
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Liu Z, Roesti M, Marques D, Hiltbrunner M, Saladin V, Peichel CL. Chromosomal fusions facilitate adaptation to divergent environments in threespine stickleback. Mol Biol Evol 2021; 39:6462204. [PMID: 34908155 PMCID: PMC8826639 DOI: 10.1093/molbev/msab358] [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] [Indexed: 11/21/2022] Open
Abstract
Chromosomal fusions are hypothesized to facilitate adaptation to divergent environments, both by bringing together previously unlinked adaptive alleles and by creating regions of low recombination that facilitate the linkage of adaptive alleles; but, there is little empirical evidence to support this hypothesis. Here, we address this knowledge gap by studying threespine stickleback (Gasterosteus aculeatus), in which ancestral marine fish have repeatedly adapted to freshwater across the northern hemisphere. By comparing the threespine and ninespine stickleback (Pungitius pungitius) genomes to a de novo assembly of the fourspine stickleback (Apeltes quadracus) and an outgroup species, we find two chromosomal fusion events involving the same chromosomes have occurred independently in the threespine and ninespine stickleback lineages. On the fused chromosomes in threespine stickleback, we find an enrichment of quantitative trait loci underlying traits that contribute to marine versus freshwater adaptation. By comparing whole-genome sequences of freshwater and marine threespine stickleback populations, we also find an enrichment of regions under divergent selection on these two fused chromosomes. There is elevated genetic diversity within regions under selection in the freshwater population, consistent with a simulation study showing that gene flow can increase diversity in genomic regions associated with local adaptation and our demographic models showing gene flow between the marine and freshwater populations. Integrating our results with previous studies, we propose that these fusions created regions of low recombination that enabled the formation of adaptative clusters, thereby facilitating freshwater adaptation in the face of recurrent gene flow between marine and freshwater threespine sticklebacks.
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Affiliation(s)
- Zuyao Liu
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Marius Roesti
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - David Marques
- Division of Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Department of Fish Ecology and Evolution, Centre for Ecology, Evolution, and Biogeochemistry, Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Kastanienbaum, Switzerland.,Natural History Museum Basel, Basel, Switzerland
| | - Melanie Hiltbrunner
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Verena Saladin
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Catherine L Peichel
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
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