Phylogenetic Analyses: Comparing Species to Infer Adaptations and Physiological Mechanisms
Abstract
Comparisons among species have been a standard tool in animal physiology to understand how organisms function and adapt to their surrounding environment. During the last two decades, conceptual and methodological advances from different fields, including evolutionary biology and systematics, have revolutionized the way comparative analyses are performed, resulting in the advent of modern phylogenetic statistical methods. This development stems from the realization that conventional analytical methods assume that observations are statistically independent, which is not the case for comparative data because species often resemble each other due to shared ancestry. By taking evolutionary history explicitly into consideration, phylogenetic statistical methods can account for the confounding effects of shared ancestry in interspecific comparisons, improving the reliability of standard approaches such as regressions or correlations in comparative analyses. Importantly, these methods have also enabled researchers to address entirely new evolutionary questions, such as the historical sequence of events that resulted in current patterns of form and function, which can only be studied with a phylogenetic perspective. Here, we provide an overview of phylogenetic approaches and their importance for studying the evolution of physiological processes and mechanisms. We discuss the conceptual framework underlying these methods, and explain when and how phylogenetic information should be empl…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Comparative analyses need to consider the phylogenetic structure of the datasets that are analyzed.
“Comparative analyses need to consider the phylogenetic structure of the datasets that are analyzed [41-43].”
From Mammalian intestinal allometry, phylogeny, trophic level and climate (2021) · cites this paper as [42]
Cites
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793 · see citing works
The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
Gould, S. J., & Lewontin, R. C. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0086 · Cited by 7,770 · see citing works
A General Model for the Origin of Allometric Scaling Laws in Biology
West, G. B., Brown, J. H., & Enquist, B. J. (1997) · Science · doi:10.1126/science.276.5309.122 · Cited by 5,016 · see citing works
The Fourth Dimension of Life: Fractal Geometry and Allometric Scaling of Organisms
West, G. B., Brown, J. H., & Enquist, B. J. (1999) · Science · doi:10.1126/science.284.5420.1677 · Cited by 1,718 · see citing works
CLADISTIC TESTS OF ADAPTATIONAL HYPOTHESES
Coddington, J. A. (1988) · Cladistics · doi:10.1111/j.1096-0031.1988.tb00465.x · Cited by 438 · see citing works
The Allometry of Avian Basal Metabolic Rate: Good Predictions Need Good Data
McKechnie, A. E., & Wolf, B. O. (2004) · Physiological and Biochemical Zoology · doi:10.1086/383511 · Cited by 264 · see citing works
Finarelli, J. A., & Flynn, J. J. (2006) · Systematic Biology · doi:10.1080/10635150500541698 · Cited by 254 · see citing works
Wing-assisted incline running and the evolution of flight.
Dial, K. P. (2003) · Science · doi:10.1126/science.1078237 · Cited by 236 · see citing works
Losos, J. B. (1999) · Animal Behaviour · doi:10.1006/anbe.1999.1261 · Cited by 163 · see citing works
MONTES, L., LE ROY, N., PERRET, M., DE BUFFRENIL, V., CASTANET, J., & CUBO, J. (2007) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.2007.00881.x · Cited by 91 · see citing works
Basal Metabolic Rate of Canidae from Hot Deserts to Cold Arctic Climates
Careau, V., Morand-Ferron, J., & Thomas, D. (2007) · Journal of Mammalogy · doi:10.1644/06-mamm-a-111r1.1 · Cited by 57 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mammalian intestinal allometry, phylogeny, trophic level and climate
Duque-Correa, M. J., Codron, D., Meloro, C., McGrosky, A., Schiffmann, C., Edwards, M. S., & Clauss, M. (2021) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.2888 · Cited by 40 · see citing works
- Authors
- Rezende, E. L., & Diniz‐Filho, J. A. F.
- Affiliations
- Universitat Autònoma de Barcelona (ES)
- Universidade Federal de Goiás (BR)
- Venue
- Comprehensive Physiology
- Publisher
- Wiley
- Published
- 2012-01
- Volume
- 2
- Issue
- 1
- Pages
- 639-674
- ISSN
- 2040-4603 (ISSN-L)
- OpenAlex
- W2111721986
- Cited by
- 120
- References
- 11
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 8 · 2020: 9 · 2019: 8 · 2018: 9 · 2017: 11 · 2016: 11 · 2015: 16 · 2014: 10 · 2013: 8 · 2012: 3
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Comprehensive physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- phylogenetic comparative analysis, comparative physiology, shared ancestry, phylogenetic signal, phylogenetic regression, phylogenetic correlation, adaptive evolution, animal physiology
- MeSH terms
- Adaptation, Physiological, Animals, Data Interpretation, Statistical, Biological Evolution, Models, Genetic, Phylogeny, Species Specificity, Ecosystem
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review