Phylogenetic Analyses: Comparing Species to Infer Adaptations and Physiological Mechanisms Enrico L
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Phylogenetic Models Linking Speciation and Extinction to Chromosome and Mating System Evolution
Phylogenetic Models Linking Speciation and Extinction to Chromosome and Mating System Evolution by William Allen Freyman A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Integrative Biology and the Designated Emphasis in Computational and Genomic Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Dr. Bruce G. Baldwin, Chair Dr. John P. Huelsenbeck Dr. Brent D. Mishler Dr. Kipling W. Will Fall 2017 Phylogenetic Models Linking Speciation and Extinction to Chromosome and Mating System Evolution Copyright 2017 by William Allen Freyman Abstract Phylogenetic Models Linking Speciation and Extinction to Chromosome and Mating System Evolution by William Allen Freyman Doctor of Philosophy in Integrative Biology and the Designated Emphasis in Computational and Genomic Biology University of California, Berkeley Dr. Bruce G. Baldwin, Chair Key evolutionary transitions have shaped the tree of life by driving the processes of spe- ciation and extinction. This dissertation aims to advance statistical and computational ap- proaches that model the timing and nature of these transitions over evolutionary trees. These methodological developments in phylogenetic comparative biology enable formal, model- based, statistical examinations of the macroevolutionary consequences of trait evolution. Chapter 1 presents computational tools for data mining the large-scale molecular sequence datasets needed for comparative phylogenetic analyses. I describe a novel metric, the miss- ing sequence decisiveness score (MSDS), which assesses the phylogenetic decisiveness of a matrix given the pattern of missing sequence data. In Chapter 2, I introduce a class of phylogenetic models of chromosome number evolution that accommodate both anagenetic and cladogenetic change. -
Investgating Determinants of Phylogeneic Accuracy
IMPACT OF MOLECULAR EVOLUTIONARY FOOTPRINTS ON PHYLOGENETIC ACCURACY – A SIMULATION STUDY Dissertation Submitted to The College of Arts and Sciences of the UNIVERSITY OF DAYTON In Partial Fulfillment of the Requirements for The Degree Doctor of Philosophy in Biology by Bhakti Dwivedi UNIVERSITY OF DAYTON August, 2009 i APPROVED BY: _________________________ Gadagkar, R. Sudhindra Ph.D. Major Advisor _________________________ Robinson, Jayne Ph.D. Committee Member Chair Department of Biology _________________________ Nielsen, R. Mark Ph.D. Committee Member _________________________ Rowe, J. John Ph.D. Committee Member _________________________ Goldman, Dan Ph.D. Committee Member ii ABSTRACT IMPACT OF MOLECULAR EVOLUTIONARY FOOTPRINTS ON PHYLOGENETIC ACCURACY – A SIMULATION STUDY Dwivedi Bhakti University of Dayton Advisor: Dr. Sudhindra R. Gadagkar An accurately inferred phylogeny is important to the study of molecular evolution. Factors impacting the accuracy of a phylogenetic tree can be traced to several consecutive steps leading to the inference of the phylogeny. In this simulation-based study our focus is on the impact of the certain evolutionary features of the nucleotide sequences themselves in the alignment rather than any source of error during the process of sequence alignment or due to the choice of the method of phylogenetic inference. Nucleotide sequences can be characterized by summary statistics such as sequence length and base composition. When two or more such sequences need to be compared to each other (as in an alignment prior to phylogenetic analysis) additional evolutionary features come into play, such as the overall rate of nucleotide substitution, the ratio of two specific instantaneous, rates of substitution (rate at which transitions and transversions occur), and the shape parameter, of the gamma distribution (that quantifies the extent of iii heterogeneity in substitution rate among sites in an alignment). -
1. Adaptation and the Evolution of Physiological Characters
Bennett, A. F. 1997. Adaptation and the evolution of physiological characters, pp. 3-16. In: Handbook of Physiology, Sect. 13: Comparative Physiology. W. H. Dantzler, ed. Oxford Univ. Press, New York. 1. Adaptation and the evolution of physiological characters Department of Ecology and Evolutionary Biology, University of California, ALBERT F. BENNETT 1 Irvine, California among the biological sciences (for example, behavioral CHAPTER CONTENTS science [I241). The Many meanings of "Adaptationn In general, comparative physiologists have been Criticisms of Adaptive Interpretations much more successful in, and have devoted much more Alternatives to Adaptive Explanations energy to, pursuing the former rather than the latter Historical inheritance goal (37). Most of this Handbook is devoted to an Developmentai pattern and constraint Physical and biomechanical correlation examination of mechanism-how various physiologi- Phenotypic size correlation cal systems function in various animals. Such compara- Genetic correlations tive studies are usually interpreted within a specific Chance fixation evolutionary context, that of adaptation. That is, or- Studying the Evolution of Physiological Characters ganisms are asserted to be designed in the ways they Macroevolutionary studies Microevolutionary studies are and to function in the ways they do because of Incorporating an Evolutionary Perspective into Physiological Studies natural selection which results in evolutionary change. The principal textbooks in the field (for example, refs. 33, 52, 102, 115) make explicit reference in their titles to the importance of adaptation to comparative COMPARATIVE PHYSIOLOGISTS HAVE TWO GOALS. The physiology, as did the last comparative section of this first is to explain mechanism, the study of how organ- Handbook (32). Adaptive evolutionary explanations isms are built functionally, "how animals work" (113). -
Phylogeny Inference Based on Parsimony and Other Methods Using Paup*
8 Phylogeny inference based on parsimony and other methods using Paup* THEORY David L. Swofford and Jack Sullivan 8.1 Introduction Methods for inferring evolutionary trees can be divided into two broad categories: thosethatoperateonamatrixofdiscretecharactersthatassignsoneormore attributes or character states to each taxon (i.e. sequence or gene-family member); and those that operate on a matrix of pairwise distances between taxa, with each distance representing an estimate of the amount of divergence between two taxa since they last shared a common ancestor (see Chapter 1). The most commonly employed discrete-character methods used in molecular phylogenetics are parsi- mony and maximum likelihood methods. For molecular data, the character-state matrix is typically an aligned set of DNA or protein sequences, in which the states are the nucleotides A, C, G, and T (i.e. DNA sequences) or symbols representing the 20 common amino acids (i.e. protein sequences); however, other forms of discrete data such as restriction-site presence/absence and gene-order information also may be used. Parsimony, maximum likelihood, and some distance methods are examples of a broader class of phylogenetic methods that rely on the use of optimality criteria. Methods in this class all operate by explicitly defining an objective function that returns a score for any input tree topology. This tree score thus allows any two or more trees to be ranked according to the chosen optimality criterion. Ordinarily, phylogenetic inference under criterion-based methods couples the selection of The Phylogenetic Handbook: a Practical Approach to Phylogenetic Analysis and Hypothesis Testing, Philippe Lemey, Marco Salemi, and Anne-Mieke Vandamme (eds.). -
Grand Challenges in Comparative Physiology
GrandChallengesinComparative Physiology: Integration Across Disciplines and Across Levels of Biological Organization Donald L. Mykles,1,* Cameron K. Ghalambor,* Jonathon H. Stillman†,‡ and Lars Tomanekx *Department of Biology, Colorado State University, Fort Collins, CO 80523, USA; †Romberg Tiburon Center and Department of Biology, San Francisco State University, Tiburon, CA 94920, USA; ‡Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94703, USA; xCenter for Coastal Marine Sciences and Environmental Proteomics Laboratory, Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93407, USA Introduction the sixth paper in the ‘‘Grand understanding of the molecular mech- Challenges’’ series, which offers the anisms of cellular processes. The induc- Schwenk et al. (2009) provided an over view from comparative physiology. tive approach depends on observation view of five major challenges in organ- In this article, we expand upon three to develop universal principles. Charles ismal biology: (1) understanding the major challenges facing comparative Darwin, after all, used this approach to organism’s role in organism–environ physiology in the 21st century: vertical develop the theory of natural selection. ment linkages; (2) utilizing the func integration of physiological processes All too often these approaches are tional diversity of organisms; (3) across organizational levels within or- integrating living and physical systems viewed as mutually exclusive, when, in ganisms, horizontal integration of analysis; (4) understanding how fact, they are complementary and are genomes produce organisms; and (5) physiological processes across organ- used, to varying extents, by most biol understanding how organisms walk isms within ecosystems, and temporal ogists working today. Yet, we have the tightrope between stability and integration of physiological pro- fallen short of full integration across change. -
Genetic Change and Rates of Cladogenesis
GENETIC CHANGE AND RATES OF CLADOGENESIS JOHN C. AVISE* AND FRANCISCO J. AYALA Depariment of Genetics, University of Californiu, Davis, California 95616 Manuscript received May 12, 1975 Revised copy received July 28, 1975 ABSTRACT Models are introduced which predict ratios of mean levels of genetic divergence in species-rich versus species-poor phylads under two competing assumptions: (1) genetic differentiation is a function of time, unrelated to the number of cladogenetic events and (2) genetic differentiation is proportional to the number of speciation events in the group. The models are simple, general, and biologically real, but not precise. They lead to qualitatively distinct predic- tions about levels of genetic divergence depending upon the relationship between rates of speciation and amount of genetic change. When genetic dis- tance between species is a function of time, mean genetic distances in speciose and depauperate phylads of equal evolutionary age are very similar. On the contrary, when genetic distance is a function of the number of speciations in the history of a phylad, the ratio of mean genetic distances separating species in speciose versus depauperate phylads is greater than one, and increases rapidly as the frequency of speciations in one group relative to the other increases. The models may be tested with data from natural populations to assess (1) possible correlations between rates of anagenesis and cladogenesis and (2) the amount of genetic differentiation accompanying the speciation process. The data collected in electrophoretic surveys and other kinds of studies can be used to test the predictions of the models. For this purpose genetic distances need to be measured in speciose and depauperate phylads of equal evolutionary age. -
Phylogenetic Definitions in the Pre-Phylocode Era; Implications for Naming Clades Under the Phylocode
PaleoBios 27(1):1–6, April 30, 2007 © 2006 University of California Museum of Paleontology Phylogenetic definitions in the pre-PhyloCode era; implications for naming clades under the PhyloCode MiChAel P. TAylor Palaeobiology research Group, School of earth and environmental Sciences, University of Portsmouth, Portsmouth Po1 3Ql, UK; [email protected] The last twenty years of work on phylogenetic nomenclature have given rise to many names and definitions that are now considered suboptimal. in formulating permanent definitions under the PhyloCode when it is implemented, it will be necessary to evaluate the corpus of existing names and make judgements about which to establish and which to discard. This is not straightforward, because early definitions are often inexplicit and ambiguous, generally do not meet the requirements of the PhyloCode, and in some cases may not be easily recognizable as phylogenetic definitions at all. recognition of synonyms is also complicated by the use of different kinds of specifiers (species, specimens, clades, genera, suprageneric rank-based names, and vernacular names) and by definitions whose content changes under different phylogenetic hypotheses. in light of these difficulties, five principles are suggested to guide the interpreta- tion of pre-PhyloCode clade-names and to inform the process of naming clades under the PhyloCode: (1) do not recognize “accidental” definitions; (2) malformed definitions should be interpreted according to the intention of the author when and where this is obvious; (3) apomorphy-based and other definitions must be recognized as well as node-based and stem-based definitions; (4) definitions using any kind of specifier taxon should be recognized; and (5) priority of synonyms and homonyms should guide but not prescribe. -
Lineages, Splits and Divergence Challenge Whether the Terms Anagenesis and Cladogenesis Are Necessary
Biological Journal of the Linnean Society, 2015, , – . With 2 figures. Lineages, splits and divergence challenge whether the terms anagenesis and cladogenesis are necessary FELIX VAUX*, STEVEN A. TREWICK and MARY MORGAN-RICHARDS Ecology Group, Institute of Agriculture and Environment, Massey University, Palmerston North, New Zealand Received 3 June 2015; revised 22 July 2015; accepted for publication 22 July 2015 Using the framework of evolutionary lineages to separate the process of evolution and classification of species, we observe that ‘anagenesis’ and ‘cladogenesis’ are unnecessary terms. The terms have changed significantly in meaning over time, and current usage is inconsistent and vague across many different disciplines. The most popular definition of cladogenesis is the splitting of evolutionary lineages (cessation of gene flow), whereas anagenesis is evolutionary change between splits. Cladogenesis (and lineage-splitting) is also regularly made synonymous with speciation. This definition is misleading as lineage-splitting is prolific during evolution and because palaeontological studies provide no direct estimate of gene flow. The terms also fail to incorporate speciation without being arbitrary or relative, and the focus upon lineage-splitting ignores the importance of divergence, hybridization, extinction and informative value (i.e. what is helpful to describe as a taxon) for species classification. We conclude and demonstrate that evolution and species diversity can be considered with greater clarity using simpler, more transparent terms than anagenesis and cladogenesis. Describing evolution and taxonomic classification can be straightforward, and there is no need to ‘make words mean so many different things’. © 2015 The Linnean Society of London, Biological Journal of the Linnean Society, 2015, 00, 000–000. -
Diversity-Dependent Cladogenesis Throughout Western Mexico: Evolutionary Biogeography of Rattlesnakes (Viperidae: Crotalinae: Crotalus and Sistrurus)
City University of New York (CUNY) CUNY Academic Works Publications and Research New York City College of Technology 2016 Diversity-dependent cladogenesis throughout western Mexico: Evolutionary biogeography of rattlesnakes (Viperidae: Crotalinae: Crotalus and Sistrurus) Christopher Blair CUNY New York City College of Technology Santiago Sánchez-Ramírez University of Toronto How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/ny_pubs/344 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] 1Blair, C., Sánchez-Ramírez, S., 2016. Diversity-dependent cladogenesis throughout 2 western Mexico: Evolutionary biogeography of rattlesnakes (Viperidae: Crotalinae: 3 Crotalus and Sistrurus ). Molecular Phylogenetics and Evolution 97, 145–154. 4 https://doi.org/10.1016/j.ympev.2015.12.020. © 2016. This manuscript version is made 5 available under the CC-BY-NC-ND 4.0 license. 6 7 8 Diversity-dependent cladogenesis throughout western Mexico: evolutionary 9 biogeography of rattlesnakes (Viperidae: Crotalinae: Crotalus and Sistrurus) 10 11 12 CHRISTOPHER BLAIR1*, SANTIAGO SÁNCHEZ-RAMÍREZ2,3,4 13 14 15 1Department of Biological Sciences, New York City College of Technology, Biology PhD 16 Program, Graduate Center, The City University of New York, 300 Jay Street, Brooklyn, 17 NY 11201, USA. 18 2Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks 19 Street, Toronto, ON, M5S 3B2, Canada. 20 3Department of Natural History, Royal Ontario Museum, 100 Queen’s Park, Toronto, 21 ON, M5S 2C6, Canada. 22 4Present address: Environmental Genomics Group, Max Planck Institute for 23 Evolutionary Biology, August-Thienemann-Str. -
A Phylogenetic Analysis of the Basal Ornithischia (Reptilia, Dinosauria)
A PHYLOGENETIC ANALYSIS OF THE BASAL ORNITHISCHIA (REPTILIA, DINOSAURIA) Marc Richard Spencer A Thesis Submitted to the Graduate College of Bowling Green State University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE December 2007 Committee: Margaret M. Yacobucci, Advisor Don C. Steinker Daniel M. Pavuk © 2007 Marc Richard Spencer All Rights Reserved iii ABSTRACT Margaret M. Yacobucci, Advisor The placement of Lesothosaurus diagnosticus and the Heterodontosauridae within the Ornithischia has been problematic. Historically, Lesothosaurus has been regarded as a basal ornithischian dinosaur, the sister taxon to the Genasauria. Recent phylogenetic analyses, however, have placed Lesothosaurus as a more derived ornithischian within the Genasauria. The Fabrosauridae, of which Lesothosaurus was considered a member, has never been phylogenetically corroborated and has been considered a paraphyletic assemblage. Prior to recent phylogenetic analyses, the problematic Heterodontosauridae was placed within the Ornithopoda as the sister taxon to the Euornithopoda. The heterodontosaurids have also been considered as the basal member of the Cerapoda (Ornithopoda + Marginocephalia), the sister taxon to the Marginocephalia, and as the sister taxon to the Genasauria. To reevaluate the placement of these taxa, along with other basal ornithischians and more derived subclades, a phylogenetic analysis of 19 taxonomic units, including two outgroup taxa, was performed. Analysis of 97 characters and their associated character states culled, modified, and/or rescored from published literature based on published descriptions, produced four most parsimonious trees. Consistency and retention indices were calculated and a bootstrap analysis was performed to determine the relative support for the resultant phylogeny. The Ornithischia was recovered with Pisanosaurus as its basalmost member. -
Is Ellipura Monophyletic? a Combined Analysis of Basal Hexapod
ARTICLE IN PRESS Organisms, Diversity & Evolution 4 (2004) 319–340 www.elsevier.de/ode Is Ellipura monophyletic? A combined analysis of basal hexapod relationships with emphasis on the origin of insects Gonzalo Giribeta,Ã, Gregory D.Edgecombe b, James M.Carpenter c, Cyrille A.D’Haese d, Ward C.Wheeler c aDepartment of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA bAustralian Museum, 6 College Street, Sydney, New South Wales 2010, Australia cDivision of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024, USA dFRE 2695 CNRS, De´partement Syste´matique et Evolution, Muse´um National d’Histoire Naturelle, 45 rue Buffon, F-75005 Paris, France Received 27 February 2004; accepted 18 May 2004 Abstract Hexapoda includes 33 commonly recognized orders, most of them insects.Ongoing controversy concerns the grouping of Protura and Collembola as a taxon Ellipura, the monophyly of Diplura, a single or multiple origins of entognathy, and the monophyly or paraphyly of the silverfish (Lepidotrichidae and Zygentoma s.s.) with respect to other dicondylous insects.Here we analyze relationships among basal hexapod orders via a cladistic analysis of sequence data for five molecular markers and 189 morphological characters in a simultaneous analysis framework using myriapod and crustacean outgroups.Using a sensitivity analysis approach and testing for stability, the most congruent parameters resolve Tricholepidion as sister group to the remaining Dicondylia, whereas most suboptimal parameter sets group Tricholepidion with Zygentoma.Stable hypotheses include the monophyly of Diplura, and a sister group relationship between Diplura and Protura, contradicting the Ellipura hypothesis.Hexapod monophyly is contradicted by an alliance between Collembola, Crustacea and Ectognatha (i.e., exclusive of Diplura and Protura) in molecular and combined analyses. -
The Caper Package: Comparative Analysis of Phylogenetics and Evolution in R
The caper package: comparative analysis of phylogenetics and evolution in R David Orme April 16, 2018 This vignette documents the use of the caper package for R (R Development Core Team, 2011) in carrying out a range of comparative analysis methods for phylogenetic data. The caper package, and the code in this vignette, requires the ape package (Paradis et al., 2004) along with the packages mvtnorm and MASS. Contents 1 Background 2 2 Comparative datasets 3 2.1 The comparative.data class and objects. .3 2.1.1 na.omit ......................................3 2.1.2 subset ......................................5 2.1.3 [ ..........................................5 2.2 Example datasets . .6 3 Methods and functions provided by caper. 7 3.0.1 Phylogenetic linear models . .7 3.0.2 Fitting phylogenetic GLS models: pgls ....................8 3.1 Optimising branch length transformations: profile.pgls...............9 3.1.1 Criticism and simplification ofpgls models: plot, anova and AIC...... 11 3.2 Phylogenetic independent contrasts . 12 3.2.1 Variable names in contrast functions . 12 3.2.2 Continuous variables: crunch .......................... 13 3.2.3 Categorical variables: brunch .......................... 13 3.2.4 Species richness contrasts: macrocaic ..................... 14 3.2.5 Phylogenetic signal: phylo.d .......................... 15 3.3 Checking and comparing contrast models. 16 3.3.1 Testing evolutionary assumptions: caic.diagnostics............. 16 3.3.2 Robust contrasts: caic.robust ......................... 17 3.3.3 Model criticism: plot .............................. 19 3.3.4 Model comparison: anova & AIC ........................ 20 3.4 Other comparative functions . 21 3.4.1 Tree imbalance: fusco.test .......................... 21 3.5 Phylogenetic diversity: pd.calc, pd.bootstrap and ed.calc............