Frank Beach Award Winner: The centrality of the hypothalamic-pituitary-adrenal axis in dealing with environmental change across temporal scales

Hormones and Behavior, Journal Year: 2023, Volume and Issue: 150, P. 105311 - 105311

Published: Jan. 25, 2023

Language: Английский

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Does Lack of Evolvability Constrain Adaptation? If So, on What Timescales?

The MIT Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 289 - 306

Published: June 27, 2023

Language: Английский

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Twenty years on from Developmental Plasticity and Evolution: middle-range theories and how to test them

Journal of Experimental Biology, Journal Year: 2024, Volume and Issue: 227(Suppl_1)

Published: March 7, 2024

ABSTRACT In Developmental Plasticity and Evolution, Mary-Jane West-Eberhard argued that the developmental mechanisms enable organisms to respond their environment are fundamental causes of adaptation diversification. Twenty years after publication this book, once so highly controversial claim appears have been assimilated by a wealth studies on ‘plasticity-led’ evolution. However, we suggest role development in explanations for adaptive evolution remains underappreciated body work. By combining concepts evolvability from evolutionary biology quantitative genetics, outline framework is more appropriate identify This demonstrates how experimental comparative physiology can be leveraged put plasticity test.

Language: Английский

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Capturing the facets of evolvability in a mechanistic framework

Trends in Ecology & Evolution, Journal Year: 2022, Volume and Issue: 37(5), P. 430 - 439

Published: Feb. 10, 2022

Evolvability, the capability to undergo adaptive evolution, is determined by a staggering diversity of mechanisms and organismal features. When discussing evolvability, it useful distinguish three categories determinants: those providing variation, shaping effect variation on fitness, selection process.Some determinants evolvability have broad scope in that they affect evolution across many different environments; others narrower impact only with respect particular challenges. Being explicit about would largely facilitate communication disciplines.On timescales, comparison organisms regarding their effects can lead very conclusions. 'Evolvability' – ability key concept for understanding predicting response biological systems environmental change. Evolvability has various facets applied ways, easily leading misunderstandings among researchers. To clarify matters, we first categorize features underlying into process. Second, stress importance timescale when studying evolvability. Third, between narrow scope. Finally, highlight two contrasting perspectives evolvability: general specific We hope this framework facilitates guides future research. Understanding adaptation changing environments more important than ever. Climate change, antibiotic resistance, viral vaccine evasion represent major societal Is an endangered species able adapt change? Will bacterial pathogen evolve resistance? Can virus evade vaccine-based immunization? At core these issues lies common element: [1.Pigliucci M. evolvable?.Nat. Rev. Genet. 2008; 9: 75-82Crossref PubMed Scopus (356) Google Scholar]. research sheds new light genomic architecture [2.Rutten J.P. et al.Adapting engine fuel: mutator populations reduce mutational load reorganizing genome structure.BMC Evol. Biol. 2019; 19: 1-17Crossref (1) Scholar], structure regulatory networks [3.Wagner A. Robustness paradox resolved.Proc. Sci. 275: 91-100Crossref (406) Scholar,4.Crombach Hogeweg P. Evolution gene networks.PLoS Comput. 4e1000112Crossref (147) other (see Glossary). It yielded surprising insights, such as: proceed at pace similar ecological resulting intricate unexpected ecoevolutionary dynamics [5.Turcotte M.M. al.The rapid population wild: experimental test eco-evolutionary dynamics.Ecol. Lett. 2011; 14: 1084-1092Crossref (88) Scholar,6.Netz C. al.Complex induced coevolution predator–prey movement strategies.Evol. Ecol. 2021; (Published online November 16, 2021)https://doi.org/10.1007/s10682-021-10140-xCrossref Scholar]; robustness do not conflict but mutually reinforce each Scholar,7.Masel J. Trotter M.V. evolvability.Trends 2010; 26: 406-414Abstract Full Text PDF (172) Scholar,8.Hogeweg Toward theory multilevel evolution: long-term information integration shapes landscape enhances evolvability.in: Soyer O.S. Evolutionary biology. Springer, 2012: 195-224Crossref (13) high 'generalize' over [9.Watson R.A. Szathmáry E. How learn?.Trends 2016; 31: 147-157Abstract (114) Scholar,10.van Gestel Weissing F.J. Regulatory link phenotypic plasticity evolvability.Sci. Rep. 6: 24524Crossref (20) Furthermore, may add formulation predictive (Box 1 see Outstanding questions).Box 1Definitions evolvabilityHere briefly discuss some definitions as provide good overview approaches field [63.Brown R.L. What really is.Br. Philos. 2014; 65: 549-572Crossref (39) Scholar,72.Nuño de la Rosa L. Computing extended synthesis: mapping conceptual front.J. Exp. Zool. B Mol. Dev. 2017; 328: 395-411Crossref Scholar,73.Crother B.I. Murray C.M. Early usage meaning evolvability.Ecol. 3784-3793Crossref (7) One early definition revolves around additive genetic coefficient variation. defines respond governed presence or absence standing (often assessed G matrix) [38.Kokko H. al.Can supply what ecology demands?.Trends 32: 187-197Abstract (43) Scholar,58.Houle D. Comparing variability quantitative traits.Genetics. 1992; 130: 195-204Crossref Scholar,74.Hansen T.F. Pélabon Evolvability: quantitative-genetics perspective.Annu. Syst. 52: 153-175Crossref (4) Another perspective was given Wagner Altenberg [59.Wagner G.P. Perspective: complex adaptations evolvability.Evolution. 1996; 50: 967Crossref who made distinction (i.e., propensity characters vary). then considered currently present instead generate A third, considers innovations [75.Brookfield J.F.Y. Evolution: enigma.Curr. 2001; 11: R106-R108Abstract Scholar,76.Szathmáry Maynard Smith The evolutionary transitions.Nature. 1995; 374: 227-232Crossref (535) For comprehensive review developments, reader referred Note are reflected our category determinants, all view provisioning variation.One additional aspect (also called 'evolutionary potential' 'adaptive capacity') relationship adaptation. While earlier treatments (as discussed Scholar]) define system evolve, irrespective whether not, recent tend restrict processes. example, Payne [14.Payne J.L. causes evolution.Nat. 20: 24-38Crossref (101) Scholar] combine aspects '...the produce both heritable adaptive'. Other vein been provided [7.Masel Scholar,38.Kokko Scholar,60.Wagner Draghi J.A. synthesis. MIT Press, 2010: 379-400Crossref Scholar,77.Masel Siegal M.L. Robustness: consequences.Trends 2009; 25: 395-403Abstract (230) Scholar, 78.Hansen T.E. architecture.Annu. 2006; 37: 123-157Crossref (247) 79.Ebner al.On neutral Proceedings 2001 Congress Computation. 1. IEEE, 2001: 1-8Google 80.Zheng al.Selection protein increasing foldability.Science. 2020; 370eabb5962Crossref 81.Verd B. al.Modularity, criticality, developmental network.eLife. 8e42832Crossref (35) Scholar].Following trend field, here focus well. defining 'capability evolution' mean capability, rather consider its degree continuous fashion. Adopting does no means imply nonadaptive processes (e.g., drift) irrelevant; reflect mutation). However, there least reasons focussing evolution. First, applications anthropogenic change) relating rate outcome pressures provides yardstick, making possible differentiate allowing comparisons organisms. Both steps toward [82.Chevin L.M. al.Adaptation, plasticity, extinction environment: towards theory.PLoS 8e1000357Crossref (1157) Here Following studied diverse approaches; instance: Johansson al. [11.Johansson F. al.Natural mediated seasonal time constraints increases alignment plasticity.Evolution. 75: 464-475Crossref (6) inspect variance–covariance matrix; Woods [12.Woods R.J. al.Second-order large Escherichia coli population.Science. 331: 1433-1436Crossref (220) compare speed strains; Martín-Serra [13.Martín-Serra al.Phenotypic modularity drives skull shape divergence Arctic fox (Vulpes lagopus) from Commander Islands.Biol. 15: 20190406Crossref (9) morphological modularity. These approaches, although valid, widely disparate: aim understand yet focuses facet. This plurality also fact defined ways 1). how relate other, nuanced cohesive discourse topic. Throughout, Box justification). often viewed terms outcomes adaptation). As same be achieved study mechanistic approach Scholar]: viewing phenomenon per se product underlie it. clarifies discussions Scholar,14.Payne while questions 'the turn abstract, become obvious transparent translated concrete mutation rate). refer govern consequently ways. identify which based affect, them accordingly (Figure most example determinant Scholar,15.Sprouffske K. al.High rates limit coli.PLoS 2018; 14e1007324Crossref 16.Consuegra al.Insertion-sequence-mediated mutations promote constrain during experiment bacteria.Nat. Commun. 12: 980Crossref (15) 17.Tenaillon O. al.Tempo mode 50,000-generation experiment.Nature. 536: 165-170Crossref (224) influencing fitness. biases predispose being beneficial [18.Hu Y. al.Developmental bias horned dung beetles contributions innovation, adaptation, resilience.Evol. 22: 165-180Crossref 19.Uller T. network perspective.Genetics. 209: 949-966Crossref (72) 20.Gerhart Kirschner facilitated variation.Proc. Natl. Acad. U. S. 2007; 104: 8582-8589Crossref (257) 21.Jernvall Linking development generation novelty mammalian teeth.Proc. 2000; 97: 2641-2645Crossref (205) process; shorter times, accelerate [22.Thomas al.A molecular invertebrates.Mol. 27: 1173-1180Crossref (145) Scholar,23.Gandon Michalakis Local potential host-parasite coevolution: interactions migration, mutation, size time.J. 2002; 451-462Crossref (351) Heritable serves raw material Hence, refers maintain ranging point rearrangements. Interestingly, vary well within genomes [24.Sniegowski P.D. rates: separating consequences.Bioessays. 1057-1066Crossref (343) 25.Hodgkinson Eyre-Walker Variation genomes.Nat. 756-766Crossref (255) 26.Martincorena I. al.Evidence non-random suggests risk management strategy.Nature. 2012; 485: 95-98Crossref (115) regulated environment stress-induced mutagenesis, [27.MacLean R.C. al.Evaluating models mutagenesis 2013; 221-227Crossref (86) Scholar]), indicating through rate. Examples maintaining include capacitors heat shock proteins. HSP-90 Saccharomyces cerevisiae, instance, acts chaperone aiding correct folding. Chaperoning shield sequence selection, thus later released under stressful conditions [28.Aboelsoud R. Kurtz An HSP90-regulated reduced-eye phenotype Tribolium shows fitness benefits evidence capacitance.bioRxiv. July 3, 2019)https://doi.org/10.1101/690727Google Scholar,29.Rutherford S.L. Lindquist HSP90 capacitor evolution.Nature. 1998; 396: 336-342Crossref (1691) Developmental canalization manner, allows accumulation cryptic [30.Bergman capacitance feature networks.Nature. 2003; 424: 549-552Crossref (377) behavioural nature, parental care thermoregulatory behaviour allow accumulate [31.Huey R.B. al.Behavioral drive versus behavioral inertia null model approach.Am. Nat. 161: 357-366Crossref (505) Scholar,32.Snell-Rood E.C. al.Effects release variation: case beetles.Evol. 30: 251-265Crossref Horizontal transfer determinant, variants maintained otherwise lost population; establishing 'accessory genome' [33.Golicz A.A. al.Pangenomics comes age: bacteria plant animal applications.Trends 36: 132-145Abstract (59) Scholar,34.Jackson R.W. influence accessory evolution.Mob. Elem. 1: 55-65Crossref so-called rescuable hypothesis [35.van Dijk mobile elements rescue genes extinction?.Curr. 66: 1069-1071Crossref (2) Not genetic: epigenetic inheritance, inheritance features, cultural [36.Bonduriansky Day Extended heredity: Princeton University 2018Google Scholar,37.Adrian-Kalchhauser al.Understanding "non-genetic" inheritance: insights molecular–evolutionary crosstalk.Trends 35: 1078-1089Abstract (30) includes non-genetic affected variety mechanisms: random genotype, [8.Hogeweg Through genomic, developmental, architecture, genotype-to-phenotype-to-fitness map [19.Uller Category 2 contains found evo-devo literature Scholar,21.Jernvall Scholar,39.Hendrikse al.Evolvability proper biology.Evol. 393-401Crossref (190) Scholar,40.Allen C.E. al.Differences serially repeated color pattern characters: development, evolution.BMC 8: 1-13Crossref (74) describes introduced process (developmental bias; butterfly Bicyclus anynana Figure biased [4.Crombach Scholar,41.van ca

Language: Английский

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Beyond genotype‐phenotype maps: Toward a phenotype‐centered perspective on evolution

BioEssays, Journal Year: 2022, Volume and Issue: 44(9)

Published: July 21, 2022

Abstract Evolutionary biology is paying increasing attention to the mechanisms that enable phenotypic plasticity, evolvability, and extra‐genetic inheritance. Yet, there a concern these phenomena remain insufficiently integrated within evolutionary theory. Understanding their implications would require focusing on phenotypes variation, but this does not always fit well with prevalent genetic representation of evolution screens off developmental mechanisms. Here, we instead use development as starting point, represent it in way allows genetic, environmental epigenetic sources variation be independent. We show why helps understand consequences both non‐genetic phenotype determinants, discuss how approach can instigate future areas empirical theoretical research.

Language: Английский

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Clinal variation in quantitative traits but not in evolutionary potential along elevational and latitudinal gradients in the widespread Anthyllis vulneraria

American Journal of Botany, Journal Year: 2024, Volume and Issue: 111(6)

Published: June 1, 2024

Abstract Premise Strong elevational and latitudinal gradients allow the study of genetic differentiation in response to similar environmental changes. However, it is uncertain whether changes along two types result genetically based quantitative traits. Peripheral arctic alpine populations are thought have less evolutionary potential than more central do. Methods We studied traits widespread Anthyllis vulneraria a common garden. Plants originated from 20 2000‐m gradient lowlands limit species Alps, 2400‐km center distribution Central Europe its northern distributional margin. Results Most showed clinal variations with elevation latitude origin, magnitude all measured relation mean annual temperature was similar. Higher Q ST values F several indicated diversifying selection, but for others smaller . Genetic diversity neutral molecular markers not correlated. Plasticity favorable conditions declined strongly evolvability did not. Conclusions The variation suggests adaptive gradients. peripheral necessarily reduced, lower plasticity may threaten their survival under rapidly changing climatic conditions.

Language: Английский

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Trait macroevolution in the presence of covariates

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 16, 2025

Statistical characterisations of traits evolving on phylogenies combine the contributions unique and shared influences those traits, potentially confusing interpretation historical events macroevolution. The Fabric model, introduced in 2022, identifies directional shifts (e.g. becoming larger/smaller, faster/slower over evolutionary time) changes macroevolutionary 'evolvability' or realised ability a trait to explore its trait-space. Here we extend model accommodate situations which is correlated with one more covarying traits. Fabric-regression component variance that free from while simultaneously estimating evolvability effects. We show dataset 1504 Mammalian species inferences about brain size evolvability, having accounted for body size, differ qualitatively alone, including finding many new effects not visible whole trait. A class fundamental questions awaits testing variation uniquely attributable statistically covariates opens possibility bringing formal methods causal inference phylogenetic-comparative studies.

Language: Английский

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The social evolution of individual differences: Future directions for a comparative science of personality in social behavior

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 144, P. 104980 - 104980

Published: Dec. 2, 2022

Personality is essential for understanding the evolution of cooperation and conflict in behavior. However, personality science remains disconnected from field social evolution, limiting our ability to explain how plasticity shape phenotypic adaptation Researchers also lack an integrative framework comparing contextualized multifaceted behaviors central interactions among humans other animals. Here we address these challenges by developing a evolutionary approach personality, synthesizing theory, methods, organizing questions study individuality sociality We critically review current measurement practices introduce reaction norm models comparative research on environments. These demonstrate that affects heritable variance individual differences can further modify rate direction adaptive evolution. Future empirical studies frequency- density-dependent selection are crucial this testing theory niche specialization.

Language: Английский

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Variation, Inheritance, and Evolution: A Primer on Evolutionary Quantitative Genetics

The MIT Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 73 - 100

Published: June 27, 2023

Evolutionary quantitative ge ne tics (EQG) emerged as a research paradigm in the 1980s based on operational tools for studying variation, inheritance, and se lection field lab studies.In this chapter, I review conceptual foundations of EQG well newer developments, with par tic u lar emphasis repre sen ta tion evolvability constraints.

Language: Английский

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The estimation of additive genetic variance of body size in a wild passerine is sensitive to the method used to estimate relatedness among the individuals

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(2)

Published: Feb. 1, 2024

Abstract Assessing additive genetic variance is a crucial step in predicting the evolutionary response of target trait. However, estimated may be sensitive to methodology used, e.g., way relatedness assessed among individuals, especially wild populations where social pedigrees can inaccurate. To investigate this possibility, we investigated tarsus length, major proxy skeletal body size birds. The model species was collared flycatcher ( Ficedula albicollis ), socially monogamous but genetically polygamous migratory passerine. We used two matrices estimate variance: (1) based solely on links and (2) similarity matrix large array single‐nucleotide polymorphisms (SNPs). Depending considered, found moderate high heritability estimates for length. In particular, were higher when obtained with instead pedigree. Our results confirm potential trait respond selection highlight methodological concerns calculating phenotypic traits. conclude that using pedigree individuals population significantly deflate variation.

Language: Английский

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