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Cardini A. Allometry and phylogenetic divergence: Correspondence or incongruence? Anat Rec (Hoboken) 2024. [PMID: 39045807 DOI: 10.1002/ar.25544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 07/25/2024]
Abstract
The potential connection between trends of within species variation, such as those of allometric change in morphology, and phylogenetic divergence has been a central topic in evolutionary biology for more than a century, including in the context of human evolution. In this study, I focus on size-related shape change in craniofacial proportions using a sample of more than 3200 adult Old World monkeys belonging to 78 species, of which 2942 specimens of 51 species are selected for the analysis. Using geometric morphometrics, I assess whether the divergence in the direction of static allometries increases in relation to phyletic differences. Because both small samples and taxonomic sampling may bias the results, I explore the sensitivity of the main analyses to the inclusion of more or less taxa depending on the choice of a threshold for the minimum sample size of a species. To better understand the impact of sampling error, I also use randomized subsampling experiments in the largest species samples. The study shows that static allometries vary broadly in directions without any evident phylogenetic signal. This variation is much larger than previously found in ontogenetic trajectories of Old World monkeys, but the conclusion of no congruence with phylogenetic divergence is the same. Yet, the effect of sampling error clearly contributes to inaccuracies and tends to magnify the differences in allometric change. Thus, morphometric research at the boundary between micro- and macro-evolution in primates, and more generally in mammals, critically needs very large and representative samples. Besides sampling error, I suggest other non-mutually exclusive explanations for the lack of correspondence between allometric and phylogenetic divergence in Old World monkeys, and also discuss why directions might be more variable in static compared to ontogenetic trajectories. Even if allometric variation may be a poor source of information in relation to phylogeny, the evolution of allometry is a fascinating subject and the study of size-related shape changes remains a fundamental piece of the puzzle to understand morphological variation within and between species in primates and other animals.
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Affiliation(s)
- Andrea Cardini
- Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, Modena, Italy
- Centre for Forensic Anatomy and Biological Sciences, The University of Western Australia, Crawley, Western Australia, Australia
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2
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Haines GE, Moisan L, Derry AM, Hendry AP. Corrigendum. Am Nat 2024; 203:147-159. [PMID: 38207146 DOI: 10.1086/728406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
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3
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Härer A, Rennison DJ. The effects of host ecology and phylogeny on gut microbiota (non)parallelism across birds and mammals. mSphere 2023; 8:e0044223. [PMID: 38038446 PMCID: PMC10732045 DOI: 10.1128/msphere.00442-23] [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: 08/03/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023] Open
Abstract
IMPORTANCE What are the roles of determinism and contingency in evolution? The paleontologist and evolutionary biologist Stephen J. Gould raised this question in his famous thought experiment of "replaying life's tape." Settings where independent lineages have repeatedly adapted to similar ecological niches (i.e., parallel evolution) are well suited to address this question. Here, we quantified whether repeated ecological shifts across 53 mammalian and 50 avian host species are associated with parallel gut microbiota changes. Our results indicate that parallel shifts in host diet are associated with greater gut microbiota parallelism (i.e., more deterministic). While further research will be necessary to obtain a comprehensive picture of the circumstances under which deterministic gut microbiota changes might be expected, our study can be instrumental in motivating the use of more quantitative methods in microbiota research. This, in turn, can help us better understand microbiota dynamics during adaptive evolution of their hosts.
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Affiliation(s)
- Andreas Härer
- Department of Ecology, Behavior & Evolution, School of Biological Sciences , University of California San Diego, La Jolla, California, USA
| | - Diana J. Rennison
- Department of Ecology, Behavior & Evolution, School of Biological Sciences , University of California San Diego, La Jolla, California, USA
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4
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Cerca J. Understanding natural selection and similarity: Convergent, parallel and repeated evolution. Mol Ecol 2023; 32:5451-5462. [PMID: 37724599 DOI: 10.1111/mec.17132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/26/2023] [Accepted: 08/30/2023] [Indexed: 09/21/2023]
Abstract
Parallel and convergent evolution offer some of the most compelling evidence for the significance of natural selection in evolution, as the emergence of similar adaptive solutions is unlikely to occur by random chance alone. However, these terms are often employed inconsistently, leading to misinterpretation and confusion, and recently proposed definitions have unintentionally diminished the emphasis on the evolution of similar adaptive solutions. Here, I examine various conceptual frameworks and definitions related to parallel and convergent evolution and propose a consolidated framework that enhances our comprehension of these evolutionary patterns. The primary aim of this framework is to harmonize the concepts of parallel and convergent evolution together with natural selection and the idea of similarity. Both concepts involve the evolution of similar adaptive solutions as a result of environmental challenges. The distinction lies in ancestral phenotypes. Parallel evolution takes place when the ancestral phenotypes (before selection) of the lineages are similar. Convergent evolution happens when the lineages have distinct ancestral phenotypes (before selection). Because an ancestral-based distinction will inevitably lead to cases where uncertainty in the distinction may arise, the framework includes a general term, repeated evolution, which can be used as a term applying to the evolution of similar phenotypes and genotypes as well as similar responses to environmental pressures. Based on the argument that genetic similarity may frequently arise without selection, the framework posits that the similarity of genetic sequences is not of great interest unless linked to the actions of natural selection or to the origins (mutation, standing genetic variation, gene flow) and locations of the similar sequences.
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Affiliation(s)
- José Cerca
- CEES - Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
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5
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Härer A, Mauro AA, Laurentino TG, Rosenblum EB, Rennison DJ. Gut microbiota parallelism and divergence associated with colonisation of novel habitats. Mol Ecol 2023; 32:5661-5672. [PMID: 37715531 DOI: 10.1111/mec.17135] [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: 05/16/2023] [Revised: 08/04/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023]
Abstract
An organism's gut microbiota can change in response to novel environmental conditions, in particular when colonisation of new habitats is accompanied by shifts in the host species' ecology. Here, we investigated the gut microbiota of three lizard species (A. inornata, H. maculata and S. cowlesi) from their ancestral-like habitat in the Chihuahuan desert and two colonised habitats with contrasting geological and ecological compositions: the White Sands and Carrizozo lava flow. The host species and the lizards' environment both shape gut microbiota composition, but host effects were overall stronger. Further, we found evidence that colonisation of the same environment by independent host species led to parallel changes of the gut microbiota, whereas the colonisation of two distinct environments by the same host species led to gut microbiota divergence. Some of the gut microbiota changes that accompanied the colonisation of the White Sands were associated with shifts in diet (based on diet information from previous studies), which is congruent with the general observation that trophic ecology has a strong effect on gut microbiota composition. Our study provides insights into how shifts in host ecology accompanying colonisation of novel environments can affect gut microbiota composition and diversity.
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Affiliation(s)
- Andreas Härer
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, La Jolla, California, USA
| | - Alexander A Mauro
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
- Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway
| | - Telma G Laurentino
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
| | - Erica B Rosenblum
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
- Museum of Vertebrate Zoology, University of California Berkeley, Berkeley, California, USA
| | - Diana J Rennison
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, La Jolla, California, USA
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6
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Rhoda DP, Haber A, Angielczyk KD. Diversification of the ruminant skull along an evolutionary line of least resistance. SCIENCE ADVANCES 2023; 9:eade8929. [PMID: 36857459 PMCID: PMC9977183 DOI: 10.1126/sciadv.ade8929] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 01/30/2023] [Indexed: 05/28/2023]
Abstract
Clarifying how microevolutionary processes scale to macroevolutionary patterns is a fundamental goal in evolutionary biology, but these analyses, requiring comparative datasets of population-level variation, are limited. By analyzing a previously published dataset of 2859 ruminant crania, we find that variation within and between ruminant species is biased by a highly conserved mammalian-wide allometric pattern, CREA (craniofacial evolutionary allometry), where larger species have proportionally longer faces. Species with higher morphological integration and species more biased toward CREA have diverged farther from their ancestors, and Ruminantia as a clade diversified farther than expected in the direction of CREA. Our analyses indicate that CREA acts as an evolutionary "line of least resistance" and facilitates morphological diversification due to its alignment with the browser-grazer continuum. Together, our results demonstrate that constraints at the population level can produce highly directional patterns of phenotypic evolution at the macroevolutionary scale. Further research is needed to explore how CREA has been exploited in other mammalian clades.
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Affiliation(s)
- Daniel P. Rhoda
- Committee on Evolutionary Biology, University of Chicago, 1025 E. 57th St., Chicago, IL 60637, USA
- Negaunee Integrative Research Center, Field Museum of Natural History, 1400 S. DuSable Lake Shore Dr., Chicago, IL 60605, USA
| | - Annat Haber
- The Jackson Laboratory, Farmington, CT 06032, USA
| | - Kenneth D. Angielczyk
- Committee on Evolutionary Biology, University of Chicago, 1025 E. 57th St., Chicago, IL 60637, USA
- Negaunee Integrative Research Center, Field Museum of Natural History, 1400 S. DuSable Lake Shore Dr., Chicago, IL 60605, USA
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Haines GE, Moisan L, Derry AM, Hendry AP. Dimensionality and Modularity of Adaptive Variation: Divergence in Threespine Stickleback from Diverse Environments. Am Nat 2023; 201:175-199. [PMID: 36724467 DOI: 10.1086/722483] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
AbstractPopulations are subjected to diverse environmental conditions that affect fitness and induce evolutionary or plastic responses, resulting in phenotypic divergence. Some authors contend that such divergence is concentrated along a single major axis of trait covariance even if that axis does not lead populations directly toward a fitness optimum. Other authors argue that divergence can occur readily along many phenotype axes at the same time. We use populations of threespine stickleback (Gasterosteus aculeatus) from 14 lakes with contrasting ecological conditions to find some resolution along the continuum between these two extremes. Unlike many previous studies, we included several functional suites of traits (defensive, swimming, trophic) potentially subject to different sources of selection. We find that populations exhibit dimensionality of divergence that is high enough to preclude a history of constraint along a single axis-both for divergence in multivariate mean trait values and for the structure of trait covariances. Dimensionality varied among trait suites and were strongly influenced by the inclusion of specific traits, and integration of trait suites varied between populations. We leverage this variation into new insights about the process of divergence and suggest that similar analyses could increase understanding of other adaptive radiations.
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Härer A, Rennison DJ. Quantifying (non)parallelism of gut microbial community change using multivariate vector analysis. Ecol Evol 2022; 12:e9674. [PMID: 36590339 PMCID: PMC9797641 DOI: 10.1002/ece3.9674] [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: 05/06/2022] [Revised: 11/26/2022] [Accepted: 12/09/2022] [Indexed: 12/30/2022] Open
Abstract
Parallel evolution of phenotypic traits is regarded as strong evidence for natural selection and has been studied extensively in a variety of taxa. However, we have limited knowledge of whether parallel evolution of host organisms is accompanied by parallel changes of their associated microbial communities (i.e., microbiotas), which are crucial for their hosts' ecology and evolution. Determining the extent of microbiota parallelism in nature can improve our ability to identify the factors that are associated with (putatively adaptive) shifts in microbial communities. While it has been emphasized that (non)parallel evolution is better considered as a quantitative continuum rather than a binary phenomenon, quantitative approaches have rarely been used to study microbiota parallelism. We advocate using multivariate vector analysis (i.e., phenotypic change vector analysis) to quantify direction and magnitude of microbiota changes and discuss the applicability of this approach for studying parallelism, and we compiled an R package for multivariate vector analysis of microbial communities ('multivarvector'). We exemplify its use by reanalyzing gut microbiota data from multiple fish species that exhibit parallel shifts in trophic ecology. We found that multivariate vector analysis results were largely consistent with other statistical methods, parallelism estimates were not affected by the taxonomic level at which the microbiota is studied, and parallelism might be stronger for gut microbiota function compared to taxonomic composition. This approach provides an analytical framework for quantitative comparisons across host lineages, thereby providing the potential to advance our capacity to predict microbiota changes. Hence, we emphasize that the development and application of quantitative measures, such as multivariate vector analysis, should be further explored in microbiota research in order to better understand the role of microbiota dynamics during their hosts' adaptive evolution, particularly in settings of parallel evolution.
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Affiliation(s)
- Andreas Härer
- School of Biological Sciences, Department of Ecology, Behavior, & EvolutionUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Diana J. Rennison
- School of Biological Sciences, Department of Ecology, Behavior, & EvolutionUniversity of California San DiegoLa JollaCaliforniaUSA
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9
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The Predictable Complexity of Evolutionary Allometry. Evol Biol 2022. [DOI: 10.1007/s11692-022-09581-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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10
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Whiting JR, Paris JR, van der Zee MJ, Fraser BA. AF‐vapeR
: A multivariate genome scan for detecting parallel evolution using allele frequency change vectors. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- James R. Whiting
- Department of Biosciences University of Exeter Exeter UK
- Department of Biological Sciences University of Calgary Calgary Alberta Canada
| | - Josephine R. Paris
- Department of Biosciences University of Exeter Exeter UK
- Department of Health, Life and Environmental Sciences University of L'Aquila L'Aquila Italy
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