Literature DB >> 28486113

Phylogenetic comparative methods.

Will Cornwell1, Shinichi Nakagawa2.   

Abstract

Phylogenetic comparative methods (PCMs) enable us to study the history of organismal evolution and diversification. PCMs comprise a collection of statistical methods for inferring history from piecemeal information, primarily combining two types of data: first, an estimate of species relatedness, usually based on their genes, and second, contemporary trait values of extant organisms. Some PCMs also incorporate information from geological records, especially fossils, but also other gradual and episodic events in the Earth's history (for example, trait data from fossils or the global oxygen concentration as an independent variable). It is important to note at the outset that PCMs are not concerned with reconstructing the evolutionary relationships among species; this has to do with estimating the phylogeny from genetic, fossil and other data, and a separate set of methods for this process makes up the field of phylogenetics. PCMs as a set of methods are distinct from, but are not completely independent of, phylogenetics. PCMs are used to address the questions: how did the characteristics of organisms evolve through time and what factors influenced speciation and extinction?
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28486113     DOI: 10.1016/j.cub.2017.03.049

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  9 in total

Review 1.  Brain evolution in social insects: advocating for the comparative approach.

Authors:  R Keating Godfrey; Wulfila Gronenberg
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-01-17       Impact factor: 1.836

2.  Comparative Genomics Identifies Putative Signatures of Sociality in Spiders.

Authors:  Chao Tong; Gabriella M Najm; Noa Pinter-Wollman; Jonathan N Pruitt; Timothy A Linksvayer
Journal:  Genome Biol Evol       Date:  2020-03-01       Impact factor: 3.416

3.  On the Matrix Condition of Phylogenetic Tree.

Authors:  Dwueng-Chwuan Jhwueng; Brian C O'Meara
Journal:  Evol Bioinform Online       Date:  2020-02-12       Impact factor: 1.625

4.  No impact of a short-term climatic "El Niño" fluctuation on gut microbial diversity in populations of the Galápagos marine iguana (Amblyrhynchus cristatus).

Authors:  Alejandro Ibáñez; Molly C Bletz; Galo Quezada; Robert Geffers; Michael Jarek; Miguel Vences; Sebastian Steinfartz
Journal:  Naturwissenschaften       Date:  2021-02-02

5.  Trade-off between flight capability and reproduction in Acridoidea (Insecta: Orthoptera).

Authors:  Huihui Chang; Xiaoqiang Guo; Shuli Guo; Nan Yang; Yuan Huang
Journal:  Ecol Evol       Date:  2021-11-18       Impact factor: 2.912

6.  Behavioral and Evolutionary Perspectives on Visual Lateralization in Mating Birds: A Short Systematic Review.

Authors:  Masayo Soma
Journal:  Front Physiol       Date:  2022-01-31       Impact factor: 4.566

7.  The United States Swine Pathogen Database: integrating veterinary diagnostic laboratory sequence data to monitor emerging pathogens of swine.

Authors:  Tavis K Anderson; Blake Inderski; Diego G Diel; Benjamin M Hause; Elizabeth G Porter; Travis Clement; Eric A Nelson; Jianfa Bai; Jane Christopher-Hennings; Phillip C Gauger; Jianqiang Zhang; Karen M Harmon; Rodger Main; Kelly M Lager; Kay S Faaberg
Journal:  Database (Oxford)       Date:  2021-12-15       Impact factor: 3.451

8.  The biomechanical origin of extreme wing allometry in hummingbirds.

Authors:  Dimitri A Skandalis; Paolo S Segre; Joseph W Bahlman; Derrick J E Groom; Kenneth C Welch; Christopher C Witt; Jimmy A McGuire; Robert Dudley; David Lentink; Douglas L Altshuler
Journal:  Nat Commun       Date:  2017-10-19       Impact factor: 14.919

9.  Personality links with lifespan in chimpanzees.

Authors:  Drew M Altschul; William D Hopkins; Elizabeth S Herrelko; Miho Inoue-Murayama; Tetsuro Matsuzawa; James E King; Stephen R Ross; Alexander Weiss
Journal:  Elife       Date:  2018-10-09       Impact factor: 8.140

  9 in total

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