C3020 – Molecular Evolution Exercises #3: Phylogenetics
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Lecture Notes: the Mathematics of Phylogenetics
Lecture Notes: The Mathematics of Phylogenetics Elizabeth S. Allman, John A. Rhodes IAS/Park City Mathematics Institute June-July, 2005 University of Alaska Fairbanks Spring 2009, 2012, 2016 c 2005, Elizabeth S. Allman and John A. Rhodes ii Contents 1 Sequences and Molecular Evolution 3 1.1 DNA structure . .4 1.2 Mutations . .5 1.3 Aligned Orthologous Sequences . .7 2 Combinatorics of Trees I 9 2.1 Graphs and Trees . .9 2.2 Counting Binary Trees . 14 2.3 Metric Trees . 15 2.4 Ultrametric Trees and Molecular Clocks . 17 2.5 Rooting Trees with Outgroups . 18 2.6 Newick Notation . 19 2.7 Exercises . 20 3 Parsimony 25 3.1 The Parsimony Criterion . 25 3.2 The Fitch-Hartigan Algorithm . 28 3.3 Informative Characters . 33 3.4 Complexity . 35 3.5 Weighted Parsimony . 36 3.6 Recovering Minimal Extensions . 38 3.7 Further Issues . 39 3.8 Exercises . 40 4 Combinatorics of Trees II 45 4.1 Splits and Clades . 45 4.2 Refinements and Consensus Trees . 49 4.3 Quartets . 52 4.4 Supertrees . 53 4.5 Final Comments . 54 4.6 Exercises . 55 iii iv CONTENTS 5 Distance Methods 57 5.1 Dissimilarity Measures . 57 5.2 An Algorithmic Construction: UPGMA . 60 5.3 Unequal Branch Lengths . 62 5.4 The Four-point Condition . 66 5.5 The Neighbor Joining Algorithm . 70 5.6 Additional Comments . 72 5.7 Exercises . 73 6 Probabilistic Models of DNA Mutation 81 6.1 A first example . 81 6.2 Markov Models on Trees . 87 6.3 Jukes-Cantor and Kimura Models . -
Species Concepts Should Not Conflict with Evolutionary History, but Often Do
ARTICLE IN PRESS Stud. Hist. Phil. Biol. & Biomed. Sci. xxx (2008) xxx–xxx Contents lists available at ScienceDirect Stud. Hist. Phil. Biol. & Biomed. Sci. journal homepage: www.elsevier.com/locate/shpsc Species concepts should not conflict with evolutionary history, but often do Joel D. Velasco Department of Philosophy, University of Wisconsin-Madison, 5185 White Hall, 600 North Park St., Madison, WI 53719, USA Department of Philosophy, Building 90, Stanford University, Stanford, CA 94305, USA article info abstract Keywords: Many phylogenetic systematists have criticized the Biological Species Concept (BSC) because it distorts Biological Species Concept evolutionary history. While defences against this particular criticism have been attempted, I argue that Phylogenetic Species Concept these responses are unsuccessful. In addition, I argue that the source of this problem leads to previously Phylogenetic Trees unappreciated, and deeper, fatal objections. These objections to the BSC also straightforwardly apply to Taxonomy other species concepts that are not defined by genealogical history. What is missing from many previous discussions is the fact that the Tree of Life, which represents phylogenetic history, is independent of our choice of species concept. Some species concepts are consistent with species having unique positions on the Tree while others, including the BSC, are not. Since representing history is of primary importance in evolutionary biology, these problems lead to the conclusion that the BSC, along with many other species concepts, are unacceptable. If species are to be taxa used in phylogenetic inferences, we need a history- based species concept. Ó 2008 Elsevier Ltd. All rights reserved. When citing this paper, please use the full journal title Studies in History and Philosophy of Biological and Biomedical Sciences 1. -
Phylogenetic Comparative Methods: a User's Guide for Paleontologists
Phylogenetic Comparative Methods: A User’s Guide for Paleontologists Laura C. Soul - Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA David F. Wright - Division of Paleontology, American Museum of Natural History, Central Park West at 79th Street, New York, New York 10024, USA and Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA Abstract. Recent advances in statistical approaches called Phylogenetic Comparative Methods (PCMs) have provided paleontologists with a powerful set of analytical tools for investigating evolutionary tempo and mode in fossil lineages. However, attempts to integrate PCMs with fossil data often present workers with practical challenges or unfamiliar literature. In this paper, we present guides to the theory behind, and application of, PCMs with fossil taxa. Based on an empirical dataset of Paleozoic crinoids, we present example analyses to illustrate common applications of PCMs to fossil data, including investigating patterns of correlated trait evolution, and macroevolutionary models of morphological change. We emphasize the importance of accounting for sources of uncertainty, and discuss how to evaluate model fit and adequacy. Finally, we discuss several promising methods for modelling heterogenous evolutionary dynamics with fossil phylogenies. Integrating phylogeny-based approaches with the fossil record provides a rigorous, quantitative perspective to understanding key patterns in the history of life. 1. Introduction A fundamental prediction of biological evolution is that a species will most commonly share many characteristics with lineages from which it has recently diverged, and fewer characteristics with lineages from which it diverged further in the past. This principle, which results from descent with modification, is one of the most basic in biology (Darwin 1859). -
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. -
Statistical Inference for the Linguistic and Non-Linguistic Past
Statistical inference for the linguistic and non-linguistic past Igor Yanovich DFG Center for Advanced Study “Words, Bones, Genes and Tools” Universität Tübingen July 6, 2017 Igor Yanovich 1 / 46 Overview of the course Overview of the course 1 Today: trees, as a description and as a process 2 Classes 2-3: simple inference of language-family trees 3 Classes 4-5: computational statistical inference of trees and evolutionary parameters 4 Class 6: histories of languages and of genes 5 Class 7: simple spatial statistics 6 Class 8: regression taking into account linguistic relationships; synthesis of the course Igor Yanovich 2 / 46 Overview of the course Learning outcomes By the end of the course, you should be able to: 1 read and engage with the current literature in linguistic phylogenetics and in spatial statistics for linguistics 2 run phylogenetic and basic spatial analyses on linguistic data 3 proceed further in the subject matter on your own, towards further advances in the field Igor Yanovich 3 / 46 Overview of the course Today’s class 1 Overview of the course 2 Language families and their structures 3 Trees as classifications and as process depictions 4 Linguistic phylogenetics 5 Worries about phylogenetics in linguistics vs. biology 6 Quick overview of the homework 7 Summary of Class 1 Igor Yanovich 4 / 46 Language families and their structures Language families and their structures Igor Yanovich 5 / 46 Language families and their structures Dravidian A modification of [Krishnamurti, 2003, Map 1.1], from Wikipedia Igor Yanovich 6 / 46 Language families and their structures Dravidian [Krishnamurti, 2003]’s classification: Dravidian family South Dravidian Central Dravidian North Dravidian SD I SD II Tamil Malay¯al.am Kannad.a Telugu Kolami Brahui (70M) (38M) (40M) (75M) (0.1M) (4M) (Numbers of speakers from Wikipedia) Igor Yanovich 7 / 46 Language families and their structures Dravidian: similarities and differences Proto-Dr. -
Phylogeny Codon Models • Last Lecture: Poor Man’S Way of Calculating Dn/Ds (Ka/Ks) • Tabulate Synonymous/Non-Synonymous Substitutions • Normalize by the Possibilities
Phylogeny Codon models • Last lecture: poor man’s way of calculating dN/dS (Ka/Ks) • Tabulate synonymous/non-synonymous substitutions • Normalize by the possibilities • Transform to genetic distance KJC or Kk2p • In reality we use codon model • Amino acid substitution rates meet nucleotide models • Codon(nucleotide triplet) Codon model parameterization Stop codons are not allowed, reducing the matrix from 64x64 to 61x61 The entire codon matrix can be parameterized using: κ kappa, the transition/transversionratio ω omega, the dN/dS ratio – optimizing this parameter gives the an estimate of selection force πj the equilibrium codon frequency of codon j (Goldman and Yang. MBE 1994) Empirical codon substitution matrix Observations: Instantaneous rates of double nucleotide changes seem to be non-zero There should be a mechanism for mutating 2 adjacent nucleotides at once! (Kosiol and Goldman) • • Phylogeny • • Last lecture: Inferring distance from Phylogenetic trees given an alignment How to infer trees and distance distance How do we infer trees given an alignment • • Branch length Topology d 6-p E 6'B o F P Edo 3 vvi"oH!.- !fi*+nYolF r66HiH- .) Od-:oXP m a^--'*A ]9; E F: i ts X o Q I E itl Fl xo_-+,<Po r! UoaQrj*l.AP-^PA NJ o - +p-5 H .lXei:i'tH 'i,x+<ox;+x"'o 4 + = '" I = 9o FF^' ^X i! .poxHo dF*x€;. lqEgrE x< f <QrDGYa u5l =.ID * c 3 < 6+6_ y+ltl+5<->-^Hry ni F.O+O* E 3E E-f e= FaFO;o E rH y hl o < H ! E Y P /-)^\-B 91 X-6p-a' 6J. -
Family Classification
1.0 GENERAL INTRODUCTION 1.1 Henckelia sect. Loxocarpus Loxocarpus R.Br., a taxon characterised by flowers with two stamens and plagiocarpic (held at an angle of 90–135° with pedicel) capsular fruit that splits dorsally has been treated as a section within Henckelia Spreng. (Weber & Burtt, 1998 [1997]). Loxocarpus as a genus was established based on L. incanus (Brown, 1839). It is principally recognised by its conical, short capsule with a broader base often with a hump-like swelling at the upper side (Banka & Kiew, 2009). It was reduced to sectional level within the genus Didymocarpus (Bentham, 1876; Clarke, 1883; Ridley, 1896) but again raised to generic level several times by different authors (Ridley, 1905; Burtt, 1958). In 1998, Weber & Burtt (1998 ['1997']) re-modelled Didymocarpus. Didymocarpus s.s. was redefined to a natural group, while most of the rest Malesian Didymocarpus s.l. and a few others morphologically close genera including Loxocarpus were transferred to Henckelia within which it was recognised as a section within. See Section 4.1 for its full taxonomic history. Molecular data now suggests that Henckelia sect. Loxocarpus is nested within ‗Twisted-fruited Asian and Malesian genera‘ group and distinct from other didymocarpoid genera (Möller et al. 2009; 2011). 1.2 State of knowledge and problem statements Henckelia sect. Loxocarpus includes 10 species in Peninsular Malaysia (with one species extending into Peninsular Thailand), 12 in Borneo, two in Sumatra and one in Lingga (Banka & Kiew, 2009). The genus Loxocarpus has never been monographed. Peninsular Malaysian taxa are well studied (Ridley, 1923; Banka, 1996; Banka & Kiew, 2009) but the Bornean and Sumatran taxa are poorly known. -
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. -
Learning the “Game” of Life: Reconstruction of Cell Lineages Through Crispr-Induced Dna Mutations
LEARNING THE “GAME” OF LIFE: RECONSTRUCTION OF CELL LINEAGES THROUGH CRISPR-INDUCED DNA MUTATIONS JIAXIAO CAI, DA KUANG, ARUN KIRUBARAJAN, MUKUND VENKATESWARAN ABSTRACT. Multi-cellular organisms are composed of many billions of individuals cells that exist by the mutation of a single stem cell. The CRISPR-based molecular-tools induce DNA mutations, which allows us to study the mutation lineages of various multi-ceulluar organisms. However, to date no lineage reconstruction algorithms have been examined for their performance/robustness across various molecular tools, datasets and sizes of lineage trees. In addition, it is unclear whether classical machine learning algorithms, deep neural networks or some combination of the two are the best approach for this task. In this paper, we introduce 1) a simulation framework for the zygote development process to achieve a dataset size required by deep learning models, and 2) various supervised and unsupervised approaches for cell mutation tree reconstruction. In particular, we show how deep generative models (Autoencoders and Variational Autoencoders), unsupervised clustering methods (K-means), and classical tree reconstruction algorithms (UPGMA) can all be used to trace cell mutation lineages. 1. INTRODUCTION Multi-cellular organisms are composed of billions or trillions of different interconnected cells that derive from a single cell through repeated rounds of cell division — knowing the cell lineage that produces a fully developed organism from a single cell provides the framework for understanding when, where, and how cell fate decisions are made. The recent advent of new CRISPR-based molecular tools synthetically induced DNA mutations and made it possible to solve lineage of complex model organisms at single-cell resolution.[1] Starting in early embryogenesis, CRISPR-induced mutations occur stochastically at introduced target sites, and these mutations are stably inherited by the offspring of these cells and immune to further change. -
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). -
Solution Sheet
Solution sheet Sequence Alignments and Phylogeny Bioinformatics Leipzig WS 13/14 Solution sheet 1 Biological Background 1.1 Which of the following are pyrimidines? Cytosine and Thymine are pyrimidines (number 2) 1.2 Which of the following contain phosphorus atoms? DNA and RNA contain phosphorus atoms (number 2). 1.3 Which of the following contain sulfur atoms? Methionine contains sulfur atoms (number 3). 1.4 Which of the following is not a valid amino acid sequence? There is no amino acid with the one letter code 'O', such that there is no valid amino acid sequence 'WATSON' (number 4). 1.5 Which of the following 'one-letter' amino acid sequence corresponds to the se- quence Tyr-Phe-Lys-Thr-Glu-Gly? The amino acid sequence corresponds to the one letter code sequence YFKTEG (number 1). 1.6 Consider the following DNA oligomers. Which to are complementary to one an- other? All are written in the 5' to 3' direction (i.TTAGGC ii.CGGATT iii.AATCCG iv.CCGAAT) CGGATT (ii) and AATCCG (iii) are complementary (number 2). 2 Pairwise Alignments 2.1 Needleman-Wunsch Algorithm Given the alphabet B = fA; C; G; T g, the sequences s = ACGCA and p = ACCG and the following scoring matrix D: A C T G - A 3 -1 -1 -1 -2 C -1 3 -1 -1 -2 T -1 -1 3 -1 -2 G -1 -1 -1 3 -2 - -2 -2 -2 -2 0 1. What kind of scoring function is given by the matrix D, similarity or distance score? 2. Use the Needleman-Wunsch algorithm to compute the pairwise alignment of s and p. -
A Fréchet Tree Distance Measure to Compare Phylogeographic Spread Paths Across Trees Received: 24 July 2018 Susanne Reimering1, Sebastian Muñoz1 & Alice C
www.nature.com/scientificreports OPEN A Fréchet tree distance measure to compare phylogeographic spread paths across trees Received: 24 July 2018 Susanne Reimering1, Sebastian Muñoz1 & Alice C. McHardy 1,2 Accepted: 1 November 2018 Phylogeographic methods reconstruct the origin and spread of taxa by inferring locations for internal Published: xx xx xxxx nodes of the phylogenetic tree from sampling locations of genetic sequences. This is commonly applied to study pathogen outbreaks and spread. To evaluate such reconstructions, the inferred spread paths from root to leaf nodes should be compared to other methods or references. Usually, ancestral state reconstructions are evaluated by node-wise comparisons, therefore requiring the same tree topology, which is usually unknown. Here, we present a method for comparing phylogeographies across diferent trees inferred from the same taxa. We compare paths of locations by calculating discrete Fréchet distances. By correcting the distances by the number of paths going through a node, we defne the Fréchet tree distance as a distance measure between phylogeographies. As an application, we compare phylogeographic spread patterns on trees inferred with diferent methods from hemagglutinin sequences of H5N1 infuenza viruses, fnding that both tree inference and ancestral reconstruction cause variation in phylogeographic spread that is not directly refected by topological diferences. The method is suitable for comparing phylogeographies inferred with diferent tree or phylogeographic inference methods to each other or to a known ground truth, thus enabling a quality assessment of such techniques. Phylogeography combines phylogenetic information describing the evolutionary relationships among species or members of a population with geographic information to study migration patterns.