Basics for the Construction of Phylogenetic Trees
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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). -
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.). -
Species Tree Likelihood Computation Given SNP Data Using Ancestral Configurations
Species Tree Likelihood Computation Given SNP Data Using Ancestral Configurations DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Hang Fan, M.S. Graduate Program in Statistics The Ohio State University 2013 Dissertation Committee: Professor Laura Kubatko, Advisor Professor Bryan Carstens Professor Radu Herbei 1 Copyright by Hang Fan 2013 2 Abstract Inferring species trees given genetic data has been a challenge in the field of phylogenetics because of the high intensity during computation. In the coalescent framework, this dissertation proposes an innovative method of estimating the likelihood of a species tree directly from Single Nucleotide Polymorphism (SNP) data with a certain nucleotide substitution model. This method uses the idea of Ancestral Configurations (Wu, 2011) to avoid the computation burden brought by the enumeration of coalescent histories. Importance sampling is used to in Monte Carlo integration to approximate the expectations in the computation, where the accuracy of the approximation is tested in different tree models. The SNP data is processed beforehand which vastly boosts the efficiency of the method. Gene tree sampling given the species tree under the coalescent model is employed to make the computation feasible for large trees. Further, the branch lengths on the species tree are optimized according to the computed species tree likelihood, which provides the likelihood of the species tree topology given the SNP data. For inference, this likelihood computation method is implemented in the stepwise addition algorithm to infer the maximum likelihood species tree in the tree space given the SNP data, and simulations are conduced to test the performance. -
Phylogeny Diversity: a Phylogenetic Framework Phenetics
Speciation is a Phylogeny process by which lineages split. -the evolutionary relationships among We should be able organisms to the reconstruct the history of these (millions of Time years) -the patterns of lineage branching produced splits (i.e., build an by the true evolutionary history evolutionary tree) Linnaean System Diversity: of Classification A Phylogenetic Framework I. Taxonomy II. Phenetics III. Cladistics Carl von Linné a.k.a. Linnaeus (1707-1778) Phenetics Taxonomy does not always reflect evolutionary history. • Grouping is based on phenotypic similarity • Does not distinguish the cause of similarities • Not widely used today because many Example: Example: Example: similarities are not due to common ancestry. Class Aves Kingdom Protista Class Reptilia 1 Convergent Evolution Cladistics • Emphasizes common ancestry (≠ similarity) • Distinguishes between two kinds of similarities: 1) similarity due to common ancestry 2) similarity due to convergent evolution • Most widely used approach to reconstructing phylogenies. Homology Bird feathers are made of keratin. a phenotype that is similar in two species because it was inherited from a common ancestor. fly wings ≠ bird wings Homoplasy a phenotype that is similar in two species because of convergent evolution. Insect wings are made of chiton. An Example of Cladistics Relate the following taxa: • Horse • Seal • Lion • House Cat Homoplasy 2 Data for Cladistic Analysis How to do a Cladistic Analysis * * Cat Lion Horse Seal Cat Lion Horse 1. Define a set of traits. Seal Lizard Trait Lizard 2. Analyze traits for homology. Retractable Claws 1 0 0 0 0 Pointed Molars 1 1 0 0 0 3. Assign phenotypic states to each taxon. -
EVOLUTIONARY INFERENCE: Some Basics of Phylogenetic Analyses
EVOLUTIONARY INFERENCE: Some basics of phylogenetic analyses. Ana Rojas Mendoza CNIO-Madrid-Spain. Alfonso Valencia’s lab. Aims of this talk: • 1.To introduce relevant concepts of evolution to practice phylogenetic inference from molecular data. • 2.To introduce some of the most useful methods and computer programmes to practice phylogenetic inference. • • 3.To show some examples I’ve worked in. SOME BASICS 11--ConceptsConcepts ofof MolecularMolecular EvolutionEvolution • Homology vs Analogy. • Homology vs similarity. • Ortologous vs Paralogous genes. • Species tree vs genes tree. • Molecular clock. • Allele mutation vs allele substitution. • Rates of allele substitution. • Neutral theory of evolution. SOME BASICS Owen’s definition of homology Richard Owen, 1843 • Homologue: the same organ under every variety of form and function (true or essential correspondence). •Analogy: superficial or misleading similarity. SOME BASICS 1.Concepts1.Concepts ofof MolecularMolecular EvolutionEvolution • Homology vs Analogy. • Homology vs similarity. • Ortologous vs Paralogous genes. • Species tree vs genes tree. • Molecular clock. • Allele mutation vs allele substitution. • Rates of allele substitution. • Neutral theory of evolution. SOME BASICS Similarity ≠ Homology • Similarity: mathematical concept . Homology: biological concept Common Ancestry!!! SOME BASICS 1.Concepts1.Concepts ofof MolecularMolecular EvolutionEvolution • Homology vs Analogy. • Homology vs similarity. • Ortologous vs Paralogous genes. • Species tree vs genes tree. • Molecular clock. -
The Probability of Monophyly of a Sample of Gene Lineages on a Species Tree
PAPER The probability of monophyly of a sample of gene COLLOQUIUM lineages on a species tree Rohan S. Mehtaa,1, David Bryantb, and Noah A. Rosenberga aDepartment of Biology, Stanford University, Stanford, CA 94305; and bDepartment of Mathematics and Statistics, University of Otago, Dunedin 9054, New Zealand Edited by John C. Avise, University of California, Irvine, CA, and approved April 18, 2016 (received for review February 5, 2016) Monophyletic groups—groups that consist of all of the descendants loci that are reciprocally monophyletic is informative about the of a most recent common ancestor—arise naturally as a conse- time since species divergence and can assist in representing the quence of descent processes that result in meaningful distinctions level of differentiation between groups (4, 18). between organisms. Aspects of monophyly are therefore central to Many empirical investigations of genealogical phenomena have fields that examine and use genealogical descent. In particular, stud- made use of conceptual and statistical properties of monophyly ies in conservation genetics, phylogeography, population genetics, (19). Comparisons of observed monophyly levels to model pre- species delimitation, and systematics can all make use of mathemat- dictions have been used to provide information about species di- ical predictions under evolutionary models about features of mono- vergence times (20, 21). Model-based monophyly computations phyly. One important calculation, the probability that a set of gene have been used alongside DNA sequence differences between and lineages is monophyletic under a two-species neutral coalescent within proposed clades to argue for the existence of the clades model, has been used in many studies. Here, we extend this calcu- (22), and tests involving reciprocal monophyly have been used to lation for a species tree model that contains arbitrarily many species. -
'The Realm of Hard Evidence': Novelty, Persuasion And
Stud. Hist. Phil. Biol. & Biomed. Sci., Vol. 32, No. 2, pp. 343–360, 2001 Pergamon 2001 Elsevier Science Ltd. All rights reserved. Printed in Great Britain 1369-8486/01 $ - see front matter www.elsevier.com/locate/shpsc ‘The Realm of Hard Evidence’: Novelty, Persuasion and Collaboration in Botanical Cladistics Jim Endersby* In 1998 a new classification of flowering plants generated headlines in the non- specialist press in Britain. By interviewing those involved with, or critical of, the new classification, this essay examines the participants’ motives and strategies for creating and maintaining a research group. It argues that the classification was produced by an informal alliance whose members collaborated despite their disagreements. This collaboration was possible because standardised methods and common theoretical assumptions served as ‘boundary objects’. The group also created a novel form of collective publication that helped to unite them. Both the collaboration and the pub- lishing strategy were partly motivated by the need to give taxonomy a degree of ‘big science’ credibility that it had previously lacked: creating an international team allowed more comprehensive results; and collective publication served to emphasise both the novelty of the work and its claims to objectivity. Creating a group identity also served to exclude practitioners of alternative forms of taxonomy. Finally, the need to obtain funding for continuing work both created the need to collaborate and influenced the way the classification was presented to the public. 2001 Elsevier Science Ltd. All rights reserved. Keywords: Cladistics; Botanical Taxonomy; Boundary Objects; Sociology of Science; Rhetoric of Science. 1. Introduction: ‘A Rose is Still a Rose’ On 23rd November 1998, the Independent newspaper announced that ‘A rose is still a rose, but everything else in botany is turned on its head’. -
A Comparative Phenetic and Cladistic Analysis of the Genus Holcaspis Chaudoir (Coleoptera: .Carabidae)
Lincoln University Digital Thesis Copyright Statement The digital copy of this thesis is protected by the Copyright Act 1994 (New Zealand). This thesis may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: you will use the copy only for the purposes of research or private study you will recognise the author's right to be identified as the author of the thesis and due acknowledgement will be made to the author where appropriate you will obtain the author's permission before publishing any material from the thesis. A COMPARATIVE PHENETIC AND CLADISTIC ANALYSIS OF THE GENUS HOLCASPIS CHAUDOIR (COLEOPTERA: CARABIDAE) ********* A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Lincoln University by Yupa Hanboonsong ********* Lincoln University 1994 Abstract of a thesis submitted in partial fulfilment of the requirements for the degree of Ph.D. A comparative phenetic and cladistic analysis of the genus Holcaspis Chaudoir (Coleoptera: .Carabidae) by Yupa Hanboonsong The systematics of the endemic New Zealand carabid genus Holcaspis are investigated, using phenetic and cladistic methods, to construct phenetic and phylogenetic relationships. Three different character data sets: morphological, allozyme and random amplified polymorphic DNA (RAPD) based on the polymerase chain reaction (PCR), are used to estimate the relationships. Cladistic and morphometric analyses are undertaken on adult morphological characters. Twenty six external morphological characters, including male and female genitalia, are used for cladistic analysis. The results from the cladistic analysis are strongly congruent with previous publications. The morphometric analysis uses multivariate discriminant functions, with 18 morphometric variables, to derive a phenogram by clustering from Mahalanobis distances (D2) of the discrimination analysis using the unweighted pair-group method with arithmetical averages (UPGMA). -
Outer and Inner Indo-Aryan, and Northern India As an Ancient Linguistic Area
Acta Orientalia 2016: 77, 71–132. Copyright © 2016 Printed in India – all rights reserved ACTA ORIENTALIA ISSN 0001-6483 Outer and Inner Indo-Aryan, and northern India as an ancient linguistic area Claus Peter Zoller University of Oslo Abstract The article presents a new approach to the old controversy concerning the veracity of a distinction between Outer and Inner Languages in Indo-Aryan. A number of arguments and data are presented which substantiate the reality of this distinction. This new approach combines this issue with a new interpretation of the history of Indo- Iranian and with the linguistic prehistory of northern India. Data are presented to show that prehistorical northern India was dominated by Munda/Austro-Asiatic languages. Keywords: Indo-Aryan, Indo-Iranian, Nuristani, Munda/Austro- Asiatic history and prehistory. Introduction This article gives a summary of the most important arguments contained in my forthcoming book on Outer and Inner languages before and after the arrival of Indo-Aryan in South Asia. The 72 Claus Peter Zoller traditional version of the hypothesis of Outer and Inner Indo-Aryan purports the idea that the Indo-Aryan Language immigration1 was not a singular event. Yet, even though it is known that the actual historical movements and processes in connection with this immigration were remarkably complex, the concerns of the hypothesis are not to reconstruct the details of these events but merely to show that the original non-singular immigrations have left revealing linguistic traces in the modern Indo-Aryan languages. Actually, this task is challenging enough, as the long-lasting controversy shows.2 Previous and present proponents of the hypothesis have tried to fix the difference between Outer and Inner Languages in terms of language geography (one graphical attempt as an example is shown below p. -
The Shape of Phylogenetic Trees (Review Paper)
REVIEW PAPER: THE SHAPE OF PHYLOGENETIC TREESPACE KATHERINE ST. JOHN Abstract: Trees are a canonical structure for representing evolutionary histories. Many popular criteria used to infer optimal trees are computationally hard, and the number of possible tree shapes grows super-exponentially in the number of taxa. The underlying structure of the spaces of trees yields rich insights that can improve the search for optimal trees, both in accuracy and running time, and the analysis and visualization of results. We review the past work on analyzing and comparing trees by their shape as well as recent work that incorporates trees with weighted branch lengths. Keywords: tree metrics, treespace, maximum parsimony, maximum likelihood. Tree structures have long been used to represent the evolutionary histories of sets of species. For example, the tips of the trees represent extant species and the internal nodes represent speciation events. Despite its simplicity, the tree model captures much of the complexity of the underlying phenomena. However, the sheer number of possibilities forces many simply presented operations on trees to be computationally hard. For example, the maximum parsimony criteria (Farris, 1970; Fitch, 1971) that seeks the tree with the minimal number of changes across the edges is compu- tationally hard to compute exactly (Foulds and Graham, 1982). The addition of weights on the branches, to denote quantities such as amount of evolutionary change, the time, or the confidence on the existence of the branch, adds complexity to the model (Felsenstein, 1973, 1978). A pop- ular corresponding optimality criteria for weighted trees, the maximum likelihood criteria, is also computationally hard (Roch, 2006). -
Clustering and Phylogenetic Approaches to Classification: Illustration on Stellar Tracks Didier Fraix-Burnet, Marc Thuillard
Clustering and Phylogenetic Approaches to Classification: Illustration on Stellar Tracks Didier Fraix-Burnet, Marc Thuillard To cite this version: Didier Fraix-Burnet, Marc Thuillard. Clustering and Phylogenetic Approaches to Classification: Il- lustration on Stellar Tracks. 2014. hal-01703341 HAL Id: hal-01703341 https://hal.archives-ouvertes.fr/hal-01703341 Preprint submitted on 7 Feb 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Clustering and Phylogenetic Approaches to Classification: Illustration on Stellar Tracks D. Fraix-Burnet1, M. Thuillard2 1 Univ. Grenoble Alpes, CNRS, IPAG, 38000 Grenoble, France email: [email protected] 2 La Colline, 2072 St-Blaise, Switzerland February 7, 2018 This pedagogicalarticle was written in 2014 and is yet unpublished. Partofit canbefoundin Fraix-Burnet (2015). Abstract Classifying objects into groups is a natural activity which is most often a prerequisite before any physical analysis of the data. Clustering and phylogenetic approaches are two different and comple- mentary ways in this purpose: the first one relies on similarities and the second one on relationships. In this paper, we describe very simply these approaches and show how phylogenetic techniques can be used in astrophysics by using a toy example based on a sample of stars obtained from models of stellar evolution. -
Autochthonous Aryans? the Evidence from Old Indian and Iranian Texts
Michael Witzel Harvard University Autochthonous Aryans? The Evidence from Old Indian and Iranian Texts. INTRODUCTION §1. Terminology § 2. Texts § 3. Dates §4. Indo-Aryans in the RV §5. Irano-Aryans in the Avesta §6. The Indo-Iranians §7. An ''Aryan'' Race? §8. Immigration §9. Remembrance of immigration §10. Linguistic and cultural acculturation THE AUTOCHTHONOUS ARYAN THEORY § 11. The ''Aryan Invasion'' and the "Out of India" theories LANGUAGE §12. Vedic, Iranian and Indo-European §13. Absence of Indian influences in Indo-Iranian §14. Date of Indo-Aryan innovations §15. Absence of retroflexes in Iranian §16. Absence of 'Indian' words in Iranian §17. Indo-European words in Indo-Iranian; Indo-European archaisms vs. Indian innovations §18. Absence of Indian influence in Mitanni Indo-Aryan Summary: Linguistics CHRONOLOGY §19. Lack of agreement of the autochthonous theory with the historical evidence: dating of kings and teachers ARCHAEOLOGY __________________________________________ Electronic Journal of Vedic Studies 7-3 (EJVS) 2001(1-115) Autochthonous Aryans? 2 §20. Archaeology and texts §21. RV and the Indus civilization: horses and chariots §22. Absence of towns in the RV §23. Absence of wheat and rice in the RV §24. RV class society and the Indus civilization §25. The Sarasvatī and dating of the RV and the Bråhmaas §26. Harappan fire rituals? §27. Cultural continuity: pottery and the Indus script VEDIC TEXTS AND SCIENCE §28. The ''astronomical code of the RV'' §29. Astronomy: the equinoxes in ŚB §30. Astronomy: Jyotia Vedåga and the