1
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Martins ARP, Warren NB, McMillan WO, Barrett RDH. Spatiotemporal dynamics in butterfly hybrid zones. INSECT SCIENCE 2024; 31:328-353. [PMID: 37596954 DOI: 10.1111/1744-7917.13262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/13/2023] [Accepted: 07/21/2023] [Indexed: 08/21/2023]
Abstract
Evaluating whether hybrid zones are stable or mobile can provide novel insights for evolution and conservation biology. Butterflies exhibit high sensitivity to environmental changes and represent an important model system for the study of hybrid zone origins and maintenance. Here, we review the literature exploring butterfly hybrid zones, with a special focus on their spatiotemporal dynamics and the potential mechanisms that could lead to their movement or stability. We then compare different lines of evidence used to investigate hybrid zone dynamics and discuss the strengths and weaknesses of each approach. Our goal with this review is to reveal general conditions associated with the stability or mobility of butterfly hybrid zones by synthesizing evidence obtained using different types of data sampled across multiple regions and spatial scales. Finally, we discuss spatiotemporal dynamics in the context of a speciation/divergence continuum, the relevance of hybrid zones for conservation biology, and recommend key topics for future investigation.
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Affiliation(s)
- Ananda R Pereira Martins
- Redpath Museum, McGill University, 859 Sherbrooke Street West, Montreal, Quebec, Canada
- Smithsonian Tropical Research Institute, Gamboa, Panama City, Panama
| | - Natalie B Warren
- Redpath Museum, McGill University, 859 Sherbrooke Street West, Montreal, Quebec, Canada
| | - W Owen McMillan
- Smithsonian Tropical Research Institute, Gamboa, Panama City, Panama
| | - Rowan D H Barrett
- Redpath Museum, McGill University, 859 Sherbrooke Street West, Montreal, Quebec, Canada
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2
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Van Belleghem SM, Ruggieri AA, Concha C, Livraghi L, Hebberecht L, Rivera ES, Ogilvie JG, Hanly JJ, Warren IA, Planas S, Ortiz-Ruiz Y, Reed R, Lewis JJ, Jiggins CD, Counterman BA, McMillan WO, Papa R. High level of novelty under the hood of convergent evolution. Science 2023; 379:1043-1049. [PMID: 36893249 PMCID: PMC11000492 DOI: 10.1126/science.ade0004] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 02/08/2023] [Indexed: 03/11/2023]
Abstract
Little is known about the extent to which species use homologous regulatory architectures to achieve phenotypic convergence. By characterizing chromatin accessibility and gene expression in developing wing tissues, we compared the regulatory architecture of convergence between a pair of mimetic butterfly species. Although a handful of color pattern genes are known to be involved in their convergence, our data suggest that different mutational paths underlie the integration of these genes into wing pattern development. This is supported by a large fraction of accessible chromatin being exclusive to each species, including the de novo lineage-specific evolution of a modular optix enhancer. These findings may be explained by a high level of developmental drift and evolutionary contingency that occurs during the independent evolution of mimicry.
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Affiliation(s)
- Steven M. Van Belleghem
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
- Ecology, Evolution and Conservation Biology, Biology Department, KU Leuven, Leuven, Belgium
| | - Angelo A. Ruggieri
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
| | - Carolina Concha
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Luca Livraghi
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biological Sciences, The George Washington University, Washington, DC, USA
| | - Laura Hebberecht
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- School of Biological Sciences, Bristol University, Bristol, UK
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Edgardo Santiago Rivera
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biomaterials, Universität Bayreuth, Bayreuth, Germany
| | - James G. Ogilvie
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biological Sciences, Auburn University, Auburn, Alabama, USA
| | - Joseph J. Hanly
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biological Sciences, The George Washington University, Washington, DC, USA
| | - Ian A. Warren
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Silvia Planas
- Molecular Sciences and Research Center, University of Puerto Rico, San Juan, Puerto Rico
| | - Yadira Ortiz-Ruiz
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
- Molecular Sciences and Research Center, University of Puerto Rico, San Juan, Puerto Rico
| | - Robert Reed
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - James J. Lewis
- Department of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA
| | | | | | - W. Owen McMillan
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Riccardo Papa
- Department of Biology, University of Puerto Rico, Rio Piedras, Puerto Rico
- Molecular Sciences and Research Center, University of Puerto Rico, San Juan, Puerto Rico
- Comprehensive Cancer Center, University of Puerto Rico, San Juan, Puerto Rico
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3
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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: 0] [Impact Index Per Article: 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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4
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Prapas D, Scalone R, Lee J, Nurkowski KA, Bou‐assi S, Rieseberg L, Battlay P, Hodgins KA. Quantitative trait loci mapping reveals an oligogenic architecture of a rapidly adapting trait during the European invasion of common ragweed. Evol Appl 2022; 15:1249-1263. [PMID: 36051461 PMCID: PMC9423086 DOI: 10.1111/eva.13453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 06/05/2022] [Accepted: 06/30/2022] [Indexed: 01/09/2023] Open
Abstract
Biological invasions offer a unique opportunity to investigate evolution over contemporary timescales. Rapid adaptation to local climates during range expansion can be a major determinant of invasion success, yet fundamental questions remain about its genetic basis. This study sought to investigate the genetic basis of climate adaptation in invasive common ragweed (Ambrosia artemisiifolia). Flowering time adaptation is key to this annual species' invasion success, so much so that it has evolved repeated latitudinal clines in size and phenology across its native and introduced ranges despite high gene flow among populations. Here, we produced a high-density linkage map (4493 SNPs) and paired this with phenotypic data from an F2 mapping population (n = 336) to identify one major and two minor quantitative trait loci (QTL) underlying flowering time and height differentiation in this species. Within each QTL interval, several candidate flowering time genes were also identified. Notably, the major flowering time QTL detected in this study was found to overlap with a previously identified haploblock (putative inversion). Multiple genetic maps of this region identified evidence of suppressed recombination in specific genotypes, consistent with inversions. These discoveries support the expectation that a concentrated genetic architecture with fewer, larger, and more tightly linked alleles should underlie rapid local adaptation during invasion, particularly when divergently adapting populations experience high levels of gene flow.
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Affiliation(s)
- Diana Prapas
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Romain Scalone
- Department of Crop Production Ecology, Uppsala Ecology CenterSwedish University of Agricultural SciencesUppsalaSweden,Department of Grapevine BreedingHochschule Geisenheim UniversityGeisenheimGermany
| | - Jacqueline Lee
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Kristin A. Nurkowski
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia,Department of Botany and Biodiversity Research CentreUniversity of British ColumbiaVancouverCanada
| | - Sarah Bou‐assi
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Loren Rieseberg
- Department of Botany and Biodiversity Research CentreUniversity of British ColumbiaVancouverCanada
| | - Paul Battlay
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Kathryn A. Hodgins
- School of Biological SciencesMonash UniversityMelbourneVictoriaAustralia
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5
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Brien MN, Enciso-Romero J, Lloyd VJ, Curran EV, Parnell AJ, Morochz C, Salazar PA, Rastas P, Zinn T, Nadeau NJ. The genetic basis of structural colour variation in mimetic
Heliconius
butterflies. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200505. [PMID: 35634924 PMCID: PMC9149798 DOI: 10.1098/rstb.2020.0505] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Structural colours, produced by the reflection of light from ultrastructures, have evolved multiple times in butterflies. Unlike pigmentary colours and patterns, little is known about the genetic basis of these colours. Reflective structures on wing-scale ridges are responsible for iridescent structural colour in many butterflies, including the Müllerian mimics Heliconius erato and Heliconius melpomene. Here, we quantify aspects of scale ultrastructure variation and colour in crosses between iridescent and non-iridescent subspecies of both of these species and perform quantitative trait locus (QTL) mapping. We show that iridescent structural colour has a complex genetic basis in both species, with offspring from crosses having a wide variation in blue colour (both hue and brightness) and scale structure measurements. We detect two different genomic regions in each species that explain modest amounts of this variation, with a sex-linked QTL in H. erato but not H. melpomene. We also find differences between species in the relationships between structure and colour, overall suggesting that these species have followed different evolutionary trajectories in their evolution of structural colour. We then identify genes within the QTL intervals that are differentially expressed between subspecies and/or wing regions, revealing likely candidates for genes controlling structural colour formation. This article is part of the theme issue ‘Genetic basis of adaptation and speciation: from loci to causative mutations’.
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Affiliation(s)
- Melanie N. Brien
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
| | - Juan Enciso-Romero
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
- Biology Program, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Victoria J. Lloyd
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
| | - Emma V. Curran
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
| | - Andrew J. Parnell
- Department of Physics and Astronomy, The University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH, UK
| | | | - Patricio A. Salazar
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
| | - Pasi Rastas
- Institute of Biotechnology, 00014 University of Helsinki, Finland
| | - Thomas Zinn
- ESRF - The European Synchrotron, 38043 Grenoble Cedex 9, France
| | - Nicola J. Nadeau
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, UK
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6
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Glimm T, Kiskowski M, Moreno N, Chiari Y. Capturing and analyzing pattern diversity: an example using the melanistic spotted patterns of leopard geckos. PeerJ 2021; 9:e11829. [PMID: 34595062 PMCID: PMC8436963 DOI: 10.7717/peerj.11829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/30/2021] [Indexed: 11/20/2022] Open
Abstract
Animal color patterns are widely studied in ecology, evolution, and through mathematical modeling. Patterns may vary among distinct body parts such as the head, trunk or tail. As large amounts of photographic data is becoming more easily available, there is a growing need for general quantitative methods for capturing and analyzing the full complexity and details of pattern variation. Detailed information on variation in color pattern elements is necessary to understand how patterns are produced and established during development, and which evolutionary forces may constrain such a variation. Here, we develop an approach to capture and analyze variation in melanistic color pattern elements in leopard geckos. We use this data to study the variation among different body parts of leopard geckos and to draw inferences about their development. We compare patterns using 14 different indices such as the ratio of melanistic versus total area, the ellipticity of spots, and the size of spots and use these to define a composite distance between two patterns. Pattern presence/absence among the different body parts indicates a clear pathway of pattern establishment from the head to the back legs. Together with weak within-individual correlation between leg patterns and main body patterns, this suggests that pattern establishment in the head and tail may be independent from the rest of the body. We found that patterns vary greatest in size and density of the spots among body parts and individuals, but little in their average shapes. We also found a correlation between the melanistic patterns of the two front legs, as well as the two back legs, and also between the head, tail and trunk, especially for the density and size of the spots, but not their shape or inter-spot distance. Our data collection and analysis approach can be applied to other organisms to study variation in color patterns between body parts and to address questions on pattern formation and establishment in animals.
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Affiliation(s)
- Tilmann Glimm
- Department of Mathematics, Western Washington University, Bellingham, WA, United States of America
| | - Maria Kiskowski
- Department of Mathematics and Statistics, University of South Alabama, Mobile, AL, United States of America
| | - Nickolas Moreno
- Department of Biology, George Mason University, Fairfax, VA, United States of America
| | - Ylenia Chiari
- Department of Biology, George Mason University, Fairfax, VA, United States of America
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7
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Montejo-Kovacevich G, Salazar PA, Smith SH, Gavilanes K, Bacquet CN, Chan YF, Jiggins CD, Meier JI, Nadeau NJ. Genomics of altitude-associated wing shape in two tropical butterflies. Mol Ecol 2021; 30:6387-6402. [PMID: 34233044 DOI: 10.1111/mec.16067] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 07/01/2021] [Indexed: 11/30/2022]
Abstract
Understanding how organisms adapt to their local environment is central to evolution. With new whole-genome sequencing technologies and the explosion of data, deciphering the genomic basis of complex traits that are ecologically relevant is becoming increasingly feasible. Here, we studied the genomic basis of wing shape in two Neotropical butterflies that inhabit large geographical ranges. Heliconius butterflies at high elevations have been shown to generally have rounder wings than those in the lowlands. We reared over 1,100 butterflies from 71 broods of H. erato and H. melpomene in common-garden conditions and showed that wing aspect ratio, that is, elongatedness, is highly heritable in both species and that elevation-associated wing aspect ratio differences are maintained. Genome-wide associations with a published data set of 666 whole genomes from across a hybrid zone, uncovered a highly polygenic basis to wing aspect ratio variation in the wild. We identified several genes that have roles in wing morphogenesis or wing aspect ratio variation in Drosophila flies, making them promising candidates for future studies. There was little evidence for molecular parallelism in the two species, with only one shared candidate gene, nor for a role of the four known colour pattern loci, except for optix in H. erato. Thus, we present the first insights into the heritability and genomic basis of within-species wing aspect ratio in two Heliconius species, adding to a growing body of evidence that polygenic adaptation may underlie many ecologically relevant traits.
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Affiliation(s)
| | | | - Sophie H Smith
- Animal and Plant Sciences, University of Sheffield, Sheffield, UK
| | | | | | | | - Chris D Jiggins
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Joana I Meier
- Department of Zoology, University of Cambridge, Cambridge, UK.,St John's College, University of Cambridge, Cambridge, UK
| | - Nicola J Nadeau
- Animal and Plant Sciences, University of Sheffield, Sheffield, UK
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8
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Fruciano C, Franchini P, Jones JC. Capturing the rapidly evolving study of adaptation. J Evol Biol 2021; 34:856-865. [PMID: 34145685 DOI: 10.1111/jeb.13871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/12/2021] [Accepted: 05/12/2021] [Indexed: 11/30/2022]
Abstract
Research on the genomics of adaptation is rapidly changing. In the last few decades, progress in this area has been driven by methodological advances, not only in the way increasingly large amounts of molecular data are generated (e.g. with high-throughput sequencing), but also in the way these data are analysed. This includes a growing appreciation and quantitative treatment of covariation among units within the same data type (e.g. genes) or across data types (e.g. genes and phenotypes). The development and adoption of more and more integrative tools have resulted in richer and more interesting empirical work. This special issue - comprising methodological, empirical, and review papers - aims to capture a 'snapshot' of this rapidly evolving field. We discuss in particular three important themes in the study of adaptation: the genetic architecture of adaptive variation, protein-coding and regulatory changes, and parallel evolution. We highlight how more traditional key themes in the study of genetic architecture (e.g. the number of loci underlying adaptive traits and the distribution of their effects) are now being complemented by other factors (e.g. how patterns of linkage and number of loci interact to affect the ability to adapt). Similarly, apart from addressing the relative importance of protein-coding and regulatory changes, we now have the tools to look in-depth at specific types of regulatory variation to gain a clearer picture of regulatory networks. Finally, parallel evolution has always been central to the study of adaptation, but now we are often able to address the question of whether - and to what extent - parallelism at the organismal or phenotypic level is matched by parallelism at the genetic level. Perhaps most importantly, we can now determine what mechanisms are driving parallelism (or lack thereof) across levels of biological organization. All these recent methodological developments open up new directions for future studies of adaptive changes across traits, levels of biological organization, demographic contexts and time scales.
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Affiliation(s)
- Carmelo Fruciano
- National Research Council - Institute of Marine Biological Resources and Biotechnologies, Messina, Italy.,Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, PSL Université Paris, Paris, France.,School of Biological Sciences, University of Portsmouth, Portsmouth, UK
| | - Paolo Franchini
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Julia C Jones
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
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9
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Waters JM, McCulloch GA. Reinventing the wheel? Reassessing the roles of gene flow, sorting and convergence in repeated evolution. Mol Ecol 2021; 30:4162-4172. [PMID: 34133810 DOI: 10.1111/mec.16018] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 06/08/2021] [Accepted: 06/11/2021] [Indexed: 12/31/2022]
Abstract
Biologists have long been intrigued by apparently predictable and repetitive evolutionary trajectories inferred across a variety of lineages and systems. In recent years, high-throughput sequencing analyses have started to transform our understanding of such repetitive shifts. While researchers have traditionally categorized such shifts as either "convergent" or "parallel," based on relatedness of the lineages involved, emerging genomic insights provide an opportunity to better describe the actual evolutionary mechanisms at play. A synthesis of recent genomic analyses confirms that convergence is the predominant driver of repetitive evolution among species, whereas repeated sorting of standing variation is the major driver of repeated shifts within species. However, emerging data reveal numerous notable exceptions to these expectations, with recent examples of de novo mutations underpinning convergent shifts among even very closely related lineages, while repetitive sorting processes have occurred among even deeply divergent taxa, sometimes via introgression. A number of very recent analyses have found evidence for both processes occurring on different scales within taxa. We suggest that the relative importance of convergent versus sorting processes depends on the interplay between gene flow among populations, and phylogenetic relatedness of the lineages involved.
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10
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Van Belleghem SM, Lewis JJ, Rivera ES, Papa R. Heliconius butterflies: a window into the evolution and development of diversity. Curr Opin Genet Dev 2021; 69:72-81. [PMID: 33714874 DOI: 10.1016/j.gde.2021.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/14/2021] [Accepted: 01/25/2021] [Indexed: 10/21/2022]
Abstract
Butterflies have become prominent models for studying the evolution and development of phenotypic variation. In Heliconius, extraordinary within species divergence and between species convergence in wing color patterns has driven decades of comparative genetic studies. However, connecting genetic patterns of diversification to the molecular mechanisms of adaptation has remained elusive. Recent studies are bridging this gap between genome and function and have driven substantial advances in deciphering the genetic architecture of diversification in Heliconius. While only a handful of large-effect genes were initially identified in the diversification of Heliconius color patterns, recent experiments have begun to unravel the underlying gene regulatory networks and how these have evolved. These results reveal an evolutionary story of many interacting loci and partly independent genetic architectures that underlie convergent evolution.
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Affiliation(s)
| | - James J Lewis
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA; Baker Institute for Animal Health, Cornell University, Ithaca, NY, USA
| | - Edgardo S Rivera
- Department of Biology, University of Puerto Rico-Rio Piedras, San Juan, Puerto Rico; Chairs of Biomaterials, University of Bayreuth, Bayreuth, Bayern, Germany
| | - Riccardo Papa
- Department of Biology, University of Puerto Rico-Rio Piedras, San Juan, Puerto Rico; Molecular Sciences and Research Center, University of Puerto Rico, San Juan, Puerto Rico.
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