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Huang G, Zhang Y, Zhang W, Wei F. Genetic mechanisms of animal camouflage: an interdisciplinary perspective. Trends Genet 2024; 40:613-620. [PMID: 38644132 DOI: 10.1016/j.tig.2024.03.009] [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: 02/10/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/23/2024]
Abstract
Camouflage is a classic example of a trait wherein animals respond to natural selection to avoid predation or attract prey. This unique phenomenon has attracted significant recent attention and the rapid development of integrative research methods is facilitating advances in our understanding of the in-depth genetic mechanisms of camouflage. In this review article, we revisit camouflage definitions and strategies and then we examine the underlying mechanisms of the two most common forms of camouflage, crypsis and masquerade, that have recently been elucidated using multiple approaches. We also discuss unresolved questions related to camouflage. Ultimately, we highlight the implications of camouflage for informing various key issues in ecology and evolution.
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Affiliation(s)
- Guangping Huang
- Jiangxi Provincial Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China; CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yubo Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Wei Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Fuwen Wei
- Jiangxi Provincial Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China; CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
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2
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Coblentz KE, Treidel LA, Biagioli FP, Fragel CG, Johnson AE, Thilakarathne DD, Yang L, DeLong JP. A framework for understanding climate change impacts through non-compensatory intra- and interspecific climate change responses. GLOBAL CHANGE BIOLOGY 2024; 30:e17378. [PMID: 38923246 DOI: 10.1111/gcb.17378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 05/16/2024] [Accepted: 05/25/2024] [Indexed: 06/28/2024]
Abstract
Understanding and predicting population responses to climate change is a crucial challenge. A key component of population responses to climate change are cases in which focal biological rates (e.g., population growth rates) change in response to climate change due to non-compensatory effects of changes in the underlying components (e.g., birth and death rates) determining the focal rates. We refer to these responses as non-compensatory climate change effects. As differential responses of biological rates to climate change have been documented in a variety of systems and arise at multiple levels of organization within and across species, non-compensatory effects may be nearly ubiquitous. Yet, how non-compensatory climate change responses combine and scale to influence the demographics of populations is often unclear and requires mapping them to the birth and death rates underlying population change. We provide a flexible framework for incorporating non-compensatory changes in upstream rates within and among species and mapping their consequences for additional downstream rates across scales to their eventual effects on population growth rates. Throughout, we provide specific examples and potential applications of the framework. We hope this framework helps to enhance our understanding of and unify research on population responses to climate change.
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Affiliation(s)
- Kyle E Coblentz
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Lisa A Treidel
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Francis P Biagioli
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Christina G Fragel
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Allison E Johnson
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | | | - Liuqingqing Yang
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - John P DeLong
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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3
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Aguilar P, Pérez I de Lanuza G, Carneiro M, Andrade P, Pinho C. The role of historical biogeography in shaping colour morph diversity in the common wall lizard. Mol Ecol 2024; 33:e17338. [PMID: 38572696 DOI: 10.1111/mec.17338] [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: 10/11/2023] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
The maintenance of polymorphisms often depends on multiple selective forces, but less is known on the role of stochastic or historical processes in maintaining variation. The common wall lizard (Podarcis muralis) is a colour polymorphic species in which local colour morph frequencies are thought to be modulated by natural and sexual selection. Here, we used genome-wide single-nucleotide polymorphism data to investigate the relationships between morph composition and population biogeography at a regional scale, by comparing morph composition with patterns of genetic variation of 54 populations sampled across the Pyrenees. We found that genetic divergence was explained by geographic distance but not by environmental features. Differences in morph composition were associated with genetic and environmental differentiation, as well as differences in sex ratio. Thus, variation in colour morph frequencies could have arisen via historical events and/or differences in the permeability to gene flow, possibly shaped by the complex topography and environment. In agreement with this hypothesis, colour morph diversity was positively correlated with genetic diversity and rates of gene flow and inversely correlated with the likelihood of the occurrence of bottlenecks. Concurrently, we did not find conclusive evidence for selection in the two colour loci. As an illustration of these effects, we observed that populations with higher proportions of the rarer yellow and yellow-orange morphs had higher genetic diversity. Our results suggest that processes involving a decay in overall genetic diversity, such as reduced gene flow and/or bottleneck events have an important role in shaping population-specific morph composition via non-selective processes.
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Affiliation(s)
- Prem Aguilar
- Research Centre in Biodiversity and Genetic Resources, InBIO, CIBIO, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Guillem Pérez I de Lanuza
- Research Centre in Biodiversity and Genetic Resources, InBIO, CIBIO, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- Ethology Lab, Institut Cavanilles de Biodiversitat i Biologia Evolutiva, Universitat de València, València, Spain
| | - Miguel Carneiro
- Research Centre in Biodiversity and Genetic Resources, InBIO, CIBIO, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Pedro Andrade
- Research Centre in Biodiversity and Genetic Resources, InBIO, CIBIO, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Catarina Pinho
- Research Centre in Biodiversity and Genetic Resources, InBIO, CIBIO, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
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4
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Andersson L, Bekkevold D, Berg F, Farrell ED, Felkel S, Ferreira MS, Fuentes-Pardo AP, Goodall J, Pettersson M. How Fish Population Genomics Can Promote Sustainable Fisheries: A Road Map. Annu Rev Anim Biosci 2024; 12:1-20. [PMID: 37906837 DOI: 10.1146/annurev-animal-021122-102933] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Maintenance of genetic diversity in marine fishes targeted by commercial fishing is a grand challenge for the future. Most of these species are abundant and therefore important for marine ecosystems and food security. Here, we present a road map of how population genomics can promote sustainable fisheries. In these species, the development of reference genomes and whole genome sequencing is key, because genetic differentiation at neutral loci is usually low due to large population sizes and gene flow. First, baseline allele frequencies representing genetically differentiated populations within species must be established. These can then be used to accurately determine the composition of mixed samples, forming the basis for population demographic analysis to inform sustainably set fish quotas. SNP-chip analysis is a cost-effective method for determining baseline allele frequencies and for population identification in mixed samples. Finally, we describe how genetic marker analysis can transform stock identification and management.
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Affiliation(s)
- Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Dorte Bekkevold
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | | | - Edward D Farrell
- Killybegs Fishermen's Organisation, Killybegs, County Donegal, Ireland
| | - Sabine Felkel
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Mafalda S Ferreira
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Angela P Fuentes-Pardo
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Jake Goodall
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Mats Pettersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
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5
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Schiebelhut LM, Guillaume AS, Kuhn A, Schweizer RM, Armstrong EE, Beaumont MA, Byrne M, Cosart T, Hand BK, Howard L, Mussmann SM, Narum SR, Rasteiro R, Rivera-Colón AG, Saarman N, Sethuraman A, Taylor HR, Thomas GWC, Wellenreuther M, Luikart G. Genomics and conservation: Guidance from training to analyses and applications. Mol Ecol Resour 2024; 24:e13893. [PMID: 37966259 DOI: 10.1111/1755-0998.13893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/25/2023] [Accepted: 10/30/2023] [Indexed: 11/16/2023]
Abstract
Environmental change is intensifying the biodiversity crisis and threatening species across the tree of life. Conservation genomics can help inform conservation actions and slow biodiversity loss. However, more training, appropriate use of novel genomic methods and communication with managers are needed. Here, we review practical guidance to improve applied conservation genomics. We share insights aimed at ensuring effectiveness of conservation actions around three themes: (1) improving pedagogy and training in conservation genomics including for online global audiences, (2) conducting rigorous population genomic analyses properly considering theory, marker types and data interpretation and (3) facilitating communication and collaboration between managers and researchers. We aim to update students and professionals and expand their conservation toolkit with genomic principles and recent approaches for conserving and managing biodiversity. The biodiversity crisis is a global problem and, as such, requires international involvement, training, collaboration and frequent reviews of the literature and workshops as we do here.
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Affiliation(s)
- Lauren M Schiebelhut
- Life and Environmental Sciences, University of California, Merced, California, USA
| | - Annie S Guillaume
- Geospatial Molecular Epidemiology group (GEOME), Laboratory for Biological Geochemistry (LGB), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Arianna Kuhn
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
- Virginia Museum of Natural History, Martinsville, Virginia, USA
| | - Rena M Schweizer
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | | | - Mark A Beaumont
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Margaret Byrne
- Department of Biodiversity, Conservation and Attractions, Biodiversity and Conservation Science, Perth, Western Australia, Australia
| | - Ted Cosart
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
| | - Brian K Hand
- Flathead Lake Biological Station, University of Montana, Polson, Montana, USA
| | - Leif Howard
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
| | - Steven M Mussmann
- Southwestern Native Aquatic Resources and Recovery Center, U.S. Fish & Wildlife Service, Dexter, New Mexico, USA
| | - Shawn R Narum
- Hagerman Genetics Lab, University of Idaho, Hagerman, Idaho, USA
| | - Rita Rasteiro
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Angel G Rivera-Colón
- Department of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Norah Saarman
- Department of Biology and Ecology Center, Utah State University, Logan, Utah, USA
| | - Arun Sethuraman
- Department of Biology, San Diego State University, San Diego, California, USA
| | - Helen R Taylor
- Royal Zoological Society of Scotland, Edinburgh, Scotland
| | - Gregg W C Thomas
- Informatics Group, Harvard University, Cambridge, Massachusetts, USA
| | - Maren Wellenreuther
- Plant and Food Research, Nelson, New Zealand
- University of Auckland, Auckland, New Zealand
| | - Gordon Luikart
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
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6
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MacDonald BT, Elowe NH, Garvie CW, Kaushik VK, Ellinor PT. Identification of a new Corin atrial natriuretic peptide-converting enzyme substrate: Agouti-signaling protein (ASIP). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.26.538495. [PMID: 37162877 PMCID: PMC10168342 DOI: 10.1101/2023.04.26.538495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Corin is a transmembrane tethered enzyme best known for processing the hormone atrial natriuretic peptide (ANP) in cardiomyocytes to control electrolyte balance and blood pressure. Loss of function mutations in Corin prevent ANP processing and lead to hypertension. Curiously, Corin loss of function variants also result in lighter coat color pigmentation in multiple species. Corin pigmentation effects are dependent on a functional Agouti locus encoding the agouti-signaling protein (ASIP) based on a genetic interaction. However, the nature of this conserved role of Corin has not been defined. Here we report that ASIP is a direct proteolytic substrate of the Corin enzyme.
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Affiliation(s)
- Bryan T. MacDonald
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Nadine H. Elowe
- Center for the Development of Therapeutics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Colin W. Garvie
- Center for the Development of Therapeutics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Virendar K. Kaushik
- Center for the Development of Therapeutics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Patrick T. Ellinor
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA
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