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Fraimout A, Guillaume F, Li Z, Sillanpää MJ, Rastas P, Merilä J. Dissecting the genetic architecture of quantitative traits using genome-wide identity-by-descent sharing. Mol Ecol 2024; 33:e17299. [PMID: 38380534 DOI: 10.1111/mec.17299] [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: 07/28/2023] [Revised: 01/08/2024] [Accepted: 01/22/2024] [Indexed: 02/22/2024]
Abstract
Additive and dominance genetic variances underlying the expression of quantitative traits are important quantities for predicting short-term responses to selection, but they are notoriously challenging to estimate in most non-model wild populations. Specifically, large-sized or panmictic populations may be characterized by low variance in genetic relatedness among individuals which, in turn, can prevent accurate estimation of quantitative genetic parameters. We used estimates of genome-wide identity-by-descent (IBD) sharing from autosomal SNP loci to estimate quantitative genetic parameters for ecologically important traits in nine-spined sticklebacks (Pungitius pungitius) from a large, outbred population. Using empirical and simulated datasets, with varying sample sizes and pedigree complexity, we assessed the performance of different crossing schemes in estimating additive genetic variance and heritability for all traits. We found that low variance in relatedness characteristic of wild outbred populations with high migration rate can impair the estimation of quantitative genetic parameters and bias heritability estimates downwards. On the other hand, the use of a half-sib/full-sib design allowed precise estimation of genetic variance components and revealed significant additive variance and heritability for all measured traits, with negligible dominance contributions. Genome-partitioning and QTL mapping analyses revealed that most traits had a polygenic basis and were controlled by genes at multiple chromosomes. Furthermore, different QTL contributed to variation in the same traits in different populations suggesting heterogeneous underpinnings of parallel evolution at the phenotypic level. Our results provide important guidelines for future studies aimed at estimating adaptive potential in the wild, particularly for those conducted in outbred large-sized populations.
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Affiliation(s)
- Antoine Fraimout
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Frédéric Guillaume
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Zitong Li
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Mikko J Sillanpää
- Research Unit of Mathematical Sciences, FI-90014 University of Oulu, Oulu, Finland
| | - Pasi Rastas
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, FI-00014 University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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2
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Zhuo Y, Du H, Diao C, Li W, Zhou L, Jiang L, Jiang J, Liu J. MAGE: metafounders-assisted genomic estimation of breeding value, a novel additive-dominance single-step model in crossbreeding systems. Bioinformatics 2024; 40:btae044. [PMID: 38268487 PMCID: PMC11212483 DOI: 10.1093/bioinformatics/btae044] [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: 10/23/2023] [Revised: 01/07/2024] [Accepted: 01/22/2024] [Indexed: 01/26/2024] Open
Abstract
MOTIVATION Utilizing both purebred and crossbred data in animal genetics is widely recognized as an optimal strategy for enhancing the predictive accuracy of breeding values. Practically, the different genetic background among several purebred populations and their crossbred offspring populations limits the application of traditional prediction methods. Several studies endeavor to predict the crossbred performance via the partial relationship, which divides the data into distinct sub-populations based on the common genetic background, such as one single purebred population and its corresponding crossbred descendant. However, this strategy makes prediction inaccurate due to ignoring half of the parental information of crossbreed animals. Furthermore, dominance effects, although playing a significant role in crossbreeding systems, cannot be modeled under such a prediction model. RESULTS To overcome this weakness, we developed a novel multi-breed single-step model using metafounders to assess ancestral relationships across diverse breeds under a unified framework. We proposed to use multi-breed dominance combined relationship matrices to model additive and dominance effects simultaneously. Our method provides a straightforward way to evaluate the heterosis of crossbreeds and the breeding values of purebred parents efficiently and accurately. We performed simulation and real data analyses to verify the potential of our proposed method. Our proposed model improved prediction accuracy under all scenarios considered compared to commonly used methods. AVAILABILITY AND IMPLEMENTATION The software for implementing our method is available at https://github.com/CAU-TeamLiuJF/MAGE.
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Affiliation(s)
- Yue Zhuo
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Heng Du
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - ChenGuang Diao
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - WeiNing Li
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lei Zhou
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Li Jiang
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - JiCai Jiang
- Department of Animal Science, North Carolina State University, Raleigh, NC 27695, United States
| | - JianFeng Liu
- State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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3
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Young EA, Postma E. Low interspecific variation and no phylogenetic signal in additive genetic variance in wild bird and mammal populations. Ecol Evol 2023; 13:e10693. [PMID: 37933323 PMCID: PMC10625858 DOI: 10.1002/ece3.10693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023] Open
Abstract
Evolutionary adaptation through genetic change requires genetic variation and is a key mechanism enabling species to persist in changing environments. Although a substantial body of work has focused on understanding how and why additive genetic variance (V A) differs among traits within species, we still know little about how they vary among species. Here we make a first attempt at testing for interspecific variation in two complementary measures of V A and the role of phylogeny in shaping this variation. To this end, we performed a phylogenetic comparative analysis using 1822 narrow-sense heritability (h 2) for 68 species of birds and mammals and 378 coefficients of additive genetic variance (CV A) estimates for 23 species. Controlling for within-species variation attributable to estimation method and trait type, we found some interspecific variation in h 2 (~15%) but not CV A. Although suggestive of interspecific variation in the importance of non-(additive) genetic sources of variance, sample sizes were insufficient to test this hypothesis directly. Additionally, although power was low, no phylogenetic signal was detected for either measure. Hence, while this suggests interspecific variation in V A is probably small, our understanding of interspecific variation in the adaptive potential of wild vertebrate populations is currently hampered by data limitations, a scarcity of CV A estimates and a measure of their uncertainty in particular.
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Affiliation(s)
- Euan A. Young
- Groningen Institute for Evolutionary Life SciencesUniversity of GroningenGroningenThe Netherlands
- Centre for Ecology and ConservationUniversity of ExeterPenrynUK
| | - Erik Postma
- Centre for Ecology and ConservationUniversity of ExeterPenrynUK
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4
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Richards TJ, McGuigan K, Aguirre JD, Humanes A, Bozec YM, Mumby PJ, Riginos C. Moving beyond heritability in the search for coral adaptive potential. GLOBAL CHANGE BIOLOGY 2023; 29:3869-3882. [PMID: 37310164 DOI: 10.1111/gcb.16719] [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: 01/18/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 06/14/2023]
Abstract
Global environmental change is happening at unprecedented rates. Coral reefs are among the ecosystems most threatened by global change. For wild populations to persist, they must adapt. Knowledge shortfalls about corals' complex ecological and evolutionary dynamics, however, stymie predictions about potential adaptation to future conditions. Here, we review adaptation through the lens of quantitative genetics. We argue that coral adaptation studies can benefit greatly from "wild" quantitative genetic methods, where traits are studied in wild populations undergoing natural selection, genomic relationship matrices can replace breeding experiments, and analyses can be extended to examine genetic constraints among traits. In addition, individuals with advantageous genotypes for anticipated future conditions can be identified. Finally, genomic genotyping supports simultaneous consideration of how genetic diversity is arrayed across geographic and environmental distances, providing greater context for predictions of phenotypic evolution at a metapopulation scale.
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Affiliation(s)
- Thomas J Richards
- School of Biological Sciences, The University of Queensland, Queensland, St Lucia, Australia
| | - Katrina McGuigan
- School of Biological Sciences, The University of Queensland, Queensland, St Lucia, Australia
| | - J David Aguirre
- School of Natural Sciences, Massey University, Auckland, New Zealand
| | - Adriana Humanes
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Yves-Marie Bozec
- School of Biological Sciences, The University of Queensland, Queensland, St Lucia, Australia
| | - Peter J Mumby
- School of Biological Sciences, The University of Queensland, Queensland, St Lucia, Australia
| | - Cynthia Riginos
- School of Biological Sciences, The University of Queensland, Queensland, St Lucia, Australia
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5
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Branch HA, Klingler AN, Byers KJRP, Panofsky A, Peers D. Discussions of the "Not So Fit": How Ableism Limits Diverse Thought and Investigative Potential in Evolutionary Biology. Am Nat 2022; 200:101-113. [PMID: 35737982 DOI: 10.1086/720003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
AbstractEvolutionary biology and many of its foundational concepts are grounded in a history of ableism and eugenics. The field has not made a concerted effort to divest our concepts and investigative tools from this fraught history, and as a result, an ableist investigative lens has persisted in present-day evolutionary research, limiting the scope of research and harming the ability to communicate and synthesize knowledge about evolutionary processes. This failure to divest from our eugenicist and ableist history has harmed progress in evolutionary biology and allowed principles from evolutionary biology to continue to be weaponized against marginalized communities in the modern day. To rectify this problem, scholars in evolutionary research must come to terms with how the history of the field has influenced their investigations and work to establish a new framework for defining and investigating concepts such as selection and fitness.
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6
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Mularo AJ, Bernal XE, DeWoody JA. Dominance can increase genetic variance after a population bottleneck: a synthesis of the theoretical and empirical evidence. J Hered 2022; 113:257-271. [PMID: 35143665 DOI: 10.1093/jhered/esac007] [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: 09/26/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Drastic reductions in population size, or population bottlenecks, can lead to a reduction in additive genetic variance and adaptive potential. Genetic variance for some quantitative genetic traits, however, can increase after a population reduction. Empirical evaluations of quantitative traits following experimental bottlenecks indicate that non-additive genetic effects, including both allelic dominance at a given locus and epistatic interactions among loci, may impact the additive variance contributed by alleles that ultimately influences phenotypic expression and fitness. The dramatic effects of bottlenecks on overall genetic diversity have been well studied, but relatively little is known about how dominance and demographic events like bottlenecks can impact additive genetic variance. Herein, we critically examine how the degree of dominance among alleles affects additive genetic variance after a bottleneck. We first review and synthesize studies that document the impact of empirical bottlenecks on dominance variance. We then extend earlier work by elaborating on two theoretical models that illustrate the relationship between dominance and the potential increase in additive genetic variance immediately following a bottleneck. Furthermore, we investigate the parameters that influence the maximum level of genetic variation (associated with adaptive potential) after a bottleneck, including the number of founding individuals. Finally, we validated our methods using forward-time population genetic simulations of loci with varying dominance and selection levels. The fate of non-additive genetic variation following bottlenecks could have important implications for conservation and management efforts in a wide variety of taxa, and our work should help contextualize future studies (e.g., epistatic variance) in population genomics.
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Affiliation(s)
- Andrew J Mularo
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Ximena E Bernal
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA.,Smithsonian Tropical Research Institute, Balboa, Republic of Panamá
| | - J Andrew DeWoody
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA.,Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN
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7
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Differential effects of steroid hormones on levels of broad-sense heritability in a wild bird: possible mechanism of environment × genetic variance interaction? Heredity (Edinb) 2022; 128:63-76. [PMID: 34921237 PMCID: PMC8733014 DOI: 10.1038/s41437-021-00490-1] [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: 01/24/2021] [Revised: 11/27/2021] [Accepted: 11/30/2021] [Indexed: 01/03/2023] Open
Abstract
Genetic variation is one of the key concepts in evolutionary biology and an important prerequisite of evolutionary change. However, we know very little about processes that modulate its levels in wild populations. In particular, we still are to understand why genetic variances often depend on environmental conditions. One of possible environment-sensitive modulators of observed levels of genetic variance are maternal effects. In this study we attempt to experimentally test the hypothesis that maternally transmitted agents (e.g. hormones) may influence the expression of genetic variance in quantitative traits in the offspring. We manipulated the levels of steroid hormones (testosterone and corticosterone) in eggs laid by blue tits in a wild population. Our experimental setup allowed for full crossing of genetic and rearing effects with the experimental manipulation. We observed that birds treated with corticosterone exhibited a significant decrease in broad-sense genetic variance of tarsus length, and an increase in this component in body mass on the 2nd day post-hatching. Our study indicates, that maternally transmitted substances such as hormones may have measurable impact on the levels of genetic variance and hence, on the evolutionary potential of quantitative traits.
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8
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Clo J, Opedal ØH. Genetics of quantitative traits with dominance under stabilizing and directional selection in partially selfing species. Evolution 2021; 75:1920-1935. [PMID: 34219233 DOI: 10.1111/evo.14304] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 05/06/2021] [Accepted: 06/07/2021] [Indexed: 12/19/2022]
Abstract
Recurrent self-fertilization is thought to lead to reduced adaptive potential by decreasing the genetic diversity of populations, thus leading selfing lineages down an evolutionary "blind alley." Although well supported theoretically, empirical support for reduced adaptability in selfing species is limited. One limitation of classical theoretical models is that they assume pure additivity of the fitness-related traits that are under stabilizing selection, despite ample evidence that quantitative traits are subject to dominance. Here, we relax this assumption and explore the effect of dominance on a fitness-related trait under stabilizing selection for populations that differ in selfing rates. By decomposing the genetic variance into additional components specific to inbred populations, we show that dominance components can explain a substantial part of the genetic variance of inbred populations. We also show that ignoring these components leads to an upward bias in the predicted response to selection. Finally, we show that when considering the effect of dominance, the short-term evolutionary potential of populations remains comparable across the entire gradient in outcrossing rates, and genetic associations can even make selfing populations more evolvable on the longer term, reconciling theoretical, and empirical results.
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Affiliation(s)
- Josselin Clo
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, 34000, France.,Department of Botany, Charles University, Prague, Czechia
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9
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Henriques JF, Lacava M, Guzmán C, Gavín-Centol MP, Ruiz-Lupión D, De Mas E, Magalhães S, Moya-Laraño J. The sources of variation for individual prey-to-predator size ratios. Heredity (Edinb) 2021; 126:684-694. [PMID: 33452465 PMCID: PMC8115045 DOI: 10.1038/s41437-020-00395-5] [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: 08/16/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 01/29/2023] Open
Abstract
The relative body size at which predators are willing to attack prey, a key trait for predator-prey interactions, is usually considered invariant. However, this ratio can vary widely among individuals or populations. Identifying the range and origin of such variation is key to understanding the strength and constraints on selection in both predators and prey. Still, these sources of variation remain largely unknown. We filled this gap by measuring the genetic, maternal and environmental variation of the maximum prey-to-predator size ratio (PPSRmax) in juveniles of the wolf spider Lycosa fasciiventris using a paternal half-sib split-brood design, in which each male was paired with two females and the offspring reared in two food environments: poor and rich. Each juvenile spider was then sequentially offered crickets of decreasing size and the maximum prey size killed was determined. We also measured body size and body condition of spiders upon emergence and just before the trial. We found low, but significant heritability (h2 = 0.069) and dominance and common environmental variance (d2 + 4c2 = 0.056). PPSRmax was also partially explained by body condition (during trial) but there was no effect of the rearing food environment. Finally, a maternal correlation between body size early in life and PPSRmax indicated that offspring born larger were less predisposed to feed on larger prey later in life. Therefore, PPSRmax, a central trait in ecosystems, can vary widely and this variation is due to different sources, with important consequences for changes in this trait in the short and long terms.
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Affiliation(s)
- Jorge F. Henriques
- grid.9983.b0000 0001 2181 4263cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal ,grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
| | - Mariángeles Lacava
- grid.11630.350000000121657640CENUR Noreste Sede Rivera, Universidad de la República, Ituzaingó, 667 Rivera Uruguay
| | - Celeste Guzmán
- grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
| | - Maria Pilar Gavín-Centol
- grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
| | - Dolores Ruiz-Lupión
- grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
| | - Eva De Mas
- grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
| | - Sara Magalhães
- grid.9983.b0000 0001 2181 4263cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Jordi Moya-Laraño
- grid.466639.80000 0004 0547 1725Functional and Evolutionary Ecology, Estación Experimental de Zonas Áridas, CSIC, Carretera de Sacramento s/n, 04120-La Cañada De San Urbano, Almeria, Spain
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10
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Ruiz-López MJ. Genomic architecture of gapeworm resistance in a natural bird population. Mol Ecol 2020; 29:3809-3811. [PMID: 32860449 DOI: 10.1111/mec.15619] [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: 06/22/2020] [Revised: 08/02/2020] [Accepted: 08/19/2020] [Indexed: 11/30/2022]
Abstract
Parasites are recognized to be some of the strongest agents of natural selection, sometimes causing major changes in the phenotypes of their hosts. Understanding the genomic determinants leading to these adaptive processes is key to understand host-parasite interactions. However, dissecting the genetic architecture of host resistance in natural systems is difficult because of the multiple factors affecting these complex traits in the wild. In this issue of Molecular Ecology, Lundregan et al. (2020) use an impressive long-term data set to analyse the genomic architecture of host resistance to gapeworm in a metapopulation of house sparrows. The authors elegantly combine different approaches (variance component analyses, genome partitioning and genome-wide associations) to reveal that resistance to gapeworm is under polygenic control and can have both a significant additive genetic and dominance variance. This study is one of the first to simultaneously determine genomic architecture and assess additive genetic and dominance genetic variance in parasite resistance in natural populations.
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Affiliation(s)
- María José Ruiz-López
- Departamento de Humedales, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, España
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11
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Quantitative genetic architecture of adaptive phenology traits in the deciduous tree, Populus trichocarpa (Torr. and Gray). Heredity (Edinb) 2020; 125:449-458. [PMID: 32901141 PMCID: PMC7784687 DOI: 10.1038/s41437-020-00363-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 12/02/2022] Open
Abstract
In a warming climate, the ability to accurately predict and track shifting environmental conditions will be fundamental for plant survival. Environmental cues define the transitions between growth and dormancy as plants synchronise development with favourable environmental conditions, however these cues are predicted to change under future climate projections which may have profound impacts on tree survival and growth. Here, we use a quantitative genetic approach to estimate the genetic basis of spring and autumn phenology in Populus trichocarpa to determine this species capacity for climate adaptation. We measured bud burst, leaf coloration, and leaf senescence traits across two years (2017–2018) and combine these observations with measures of lifetime growth to determine how genetic correlations between phenology and growth may facilitate or constrain adaptation. Timing of transitions differed between years, although we found strong cross year genetic correlations in all traits, suggesting that genotypes respond in consistent ways to seasonal cues. Spring and autumn phenology were correlated with lifetime growth, where genotypes that burst leaves early and shed them late had the highest lifetime growth. We also identified substantial heritable variation in the timing of all phenological transitions (h2 = 0.5–0.8) and in lifetime growth (h2 = 0.8). The combination of additive variation and favourable genetic correlations in phenology traits suggests that populations of cultivated varieties of P. Trichocarpa may have the capability to adapt their phenology to climatic changes without negative impacts on growth.
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12
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Tolvanen J, Kivelä SM, Doligez B, Morinay J, Gustafsson L, Bijma P, Pakanen VM, Forsman JT. Quantitative genetics of the use of conspecific and heterospecific social cues for breeding site choice. Evolution 2020; 74:2332-2347. [PMID: 32725635 PMCID: PMC7589285 DOI: 10.1111/evo.14071] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/04/2020] [Accepted: 07/23/2020] [Indexed: 12/03/2022]
Abstract
Social information use for decision‐making is common and affects ecological and evolutionary processes, including social aggregation, species coexistence, and cultural evolution. Despite increasing ecological knowledge on social information use, very little is known about its genetic basis and therefore its evolutionary potential. Genetic variation in a trait affecting an individual's social and nonsocial environment may have important implications for population dynamics, interspecific interactions, and, for expression of other, environmentally plastic traits. We estimated repeatability, additive genetic variance, and heritability of the use of conspecific and heterospecific social cues (abundance and breeding success) for breeding site choice in a population of wild collared flycatchers Ficedula albicollis. Repeatability was found for two social cues: previous year conspecific breeding success and previous year heterospecific abundance. Yet, additive genetic variances for these two social cues, and thus heritabilities, were low. This suggests that most of the phenotypic variation in the use of social cues and resulting conspecific and heterospecific social environment experienced by individuals in this population stems from phenotypic plasticity. Given the important role of social information use on ecological and evolutionary processes, more studies on genetic versus environmental determinism of social information use are needed.
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Affiliation(s)
- Jere Tolvanen
- Department of Ecology and Genetics, University of Oulu, Oulu, 90014, Finland
| | - Sami M Kivelä
- Department of Ecology and Genetics, University of Oulu, Oulu, 90014, Finland.,Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, 51014, Estonia.,Current Address: Department of Ecology and Genetics, University of Oulu, Oulu, 90014, Finland
| | - Blandine Doligez
- Laboratoire de Biométrie et Biologie Evolutive, CNRS UMR 5558, Université de Lyon - Université Claude Bernard Lyon 1, Villeurbanne, 69622, France
| | - Jennifer Morinay
- Laboratoire de Biométrie et Biologie Evolutive, CNRS UMR 5558, Université de Lyon - Université Claude Bernard Lyon 1, Villeurbanne, 69622, France.,Department of Ecology and Genetics/Animal Ecology, Uppsala University, Uppsala, SE-75236, Sweden
| | - Lars Gustafsson
- Department of Ecology and Genetics/Animal Ecology, Uppsala University, Uppsala, SE-75236, Sweden
| | - Piter Bijma
- Animal Breeding and Genomics, Wageningen University, Wageningen, 6700AH, The Netherlands
| | - Veli-Matti Pakanen
- Department of Ecology and Genetics, University of Oulu, Oulu, 90014, Finland.,Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, SE-40530, Sweden.,Current Address: Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, SE-40530, Sweden
| | - Jukka T Forsman
- Department of Ecology and Genetics, University of Oulu, Oulu, 90014, Finland.,Current Address: Natural Resources Institute Finland, University of Oulu, Oulu, 90014, Finland
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