Understanding the Concepts of Community 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 . -
Predators As Agents of Selection and Diversification
diversity Review Predators as Agents of Selection and Diversification Jerald B. Johnson * and Mark C. Belk Evolutionary Ecology Laboratories, Department of Biology, Brigham Young University, Provo, UT 84602, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-801-422-4502 Received: 6 October 2020; Accepted: 29 October 2020; Published: 31 October 2020 Abstract: Predation is ubiquitous in nature and can be an important component of both ecological and evolutionary interactions. One of the most striking features of predators is how often they cause evolutionary diversification in natural systems. Here, we review several ways that this can occur, exploring empirical evidence and suggesting promising areas for future work. We also introduce several papers recently accepted in Diversity that demonstrate just how important and varied predation can be as an agent of natural selection. We conclude that there is still much to be done in this field, especially in areas where multiple predator species prey upon common prey, in certain taxonomic groups where we still know very little, and in an overall effort to actually quantify mortality rates and the strength of natural selection in the wild. Keywords: adaptation; mortality rates; natural selection; predation; prey 1. Introduction In the history of life, a key evolutionary innovation was the ability of some organisms to acquire energy and nutrients by killing and consuming other organisms [1–3]. This phenomenon of predation has evolved independently, multiple times across all known major lineages of life, both extinct and extant [1,2,4]. Quite simply, predators are ubiquitous agents of natural selection. Not surprisingly, prey species have evolved a variety of traits to avoid predation, including traits to avoid detection [4–6], to escape from predators [4,7], to withstand harm from attack [4], to deter predators [4,8], and to confuse or deceive predators [4,8]. -
In Defence of the Three-Domains of Life Paradigm P.T.S
van der Gulik et al. BMC Evolutionary Biology (2017) 17:218 DOI 10.1186/s12862-017-1059-z REVIEW Open Access In defence of the three-domains of life paradigm P.T.S. van der Gulik1*, W.D. Hoff2 and D. Speijer3* Abstract Background: Recently, important discoveries regarding the archaeon that functioned as the “host” in the merger with a bacterium that led to the eukaryotes, its “complex” nature, and its phylogenetic relationship to eukaryotes, have been reported. Based on these new insights proposals have been put forward to get rid of the three-domain Model of life, and replace it with a two-domain model. Results: We present arguments (both regarding timing, complexity, and chemical nature of specific evolutionary processes, as well as regarding genetic structure) to resist such proposals. The three-domain Model represents an accurate description of the differences at the most fundamental level of living organisms, as the eukaryotic lineage that arose from this unique merging event is distinct from both Archaea and Bacteria in a myriad of crucial ways. Conclusions: We maintain that “a natural system of organisms”, as proposed when the three-domain Model of life was introduced, should not be revised when considering the recent discoveries, however exciting they may be. Keywords: Eucarya, LECA, Phylogenetics, Eukaryogenesis, Three-domain model Background (English: domain) as a higher taxonomic level than The discovery that methanogenic microbes differ funda- regnum: introducing the three domains of cellular life, Ar- mentally from Bacteria such as Escherichia coli or Bacillus chaea, Bacteria and Eucarya. This paradigm was proposed subtilis constitutes one of the most important biological by Woese, Kandler and Wheelis in PNAS in 1990 [2]. -
Read Evolutionary Ecology
Evolutionary Ecology Eric R. Pianka For this generation who must confront the shortsightness of their ancestors Citation Classic, Book Review Sixth Edition out of print but available used Seventh Edition - eBook available from Google Read On Line Here (use Safari --(other browsers may not work): Chapter 1 - Background Definitions and Groundwork, anthropocentrism, the importance of wild organisms in pristine natural environments, scaling and the hierarchical structure of biology, levels of approach in biology, domain of ecology, the scientific method, models, simple versus multiple causality, environment, limiting factors, tolerance limits, the principle of allocation, natural selection, self-replicating molecular assemblages, levels of selection, the urgency of basic ecological research Chapter 2 - Classical Biogeography Self-replicating molecular assemblages, geological past, classical biogeography, plate tectonics and continental drift Chapter 3 - Meteorology Major determinants of climate, local perturbations, variations in time and space, global weather modification Chapter 4 - Climate and Vegetation Plant life forms and biomes, microclimate, primary production and evapotranspiration, soil formation and primary succession, ecotones, classification of natural communities, interface between climate and vegetation, aquatic systems Chapter 5 - Resource Acquisition and Allocation Limiting factors, physiological optima and tolerance curves, energetics of metabolism and movement, resource and energy budgets, the principle of allocation, leaf -
Phylogenetics Topic 2: Phylogenetic and Genealogical Homology
Phylogenetics Topic 2: Phylogenetic and genealogical homology Phylogenies distinguish homology from similarity Previously, we examined how rooted phylogenies provide a framework for distinguishing similarity due to common ancestry (HOMOLOGY) from non-phylogenetic similarity (ANALOGY). Here we extend the concept of phylogenetic homology by making a further distinction between a HOMOLOGOUS CHARACTER and a HOMOLOGOUS CHARACTER STATE. This distinction is important to molecular evolution, as we often deal with data comprised of homologous characters with non-homologous character states. The figure below shows three hypothetical protein-coding nucleotide sequences (for simplicity, only three codons long) that are related to each other according to a phylogenetic tree. In the figure the nucleotide sequences are aligned to each other; in so doing we are making the implicit assumption that the characters aligned vertically are homologous characters. In the specific case of nucleotide and amino acid alignments this assumption is called POSITIONAL HOMOLOGY. Under positional homology it is implicit that a given position, say the first position in the gene sequence, was the same in the gene sequence of the common ancestor. In the figure below it is clear that some positions do not have identical character states (see red characters in figure below). In such a case the involved position is considered to be a homologous character, while the state of that character will be non-homologous where there are differences. Phylogenetic perspective on homologous characters and homologous character states ACG TAC TAA SYNAPOMORPHY: a shared derived character state in C two or more lineages. ACG TAT TAA These must be homologous in state. -
Phylogenetics of Buchnera Aphidicola Munson Et Al., 1991
Türk. entomol. derg., 2019, 43 (2): 227-237 ISSN 1010-6960 DOI: http://dx.doi.org/10.16970/entoted.527118 E-ISSN 2536-491X Original article (Orijinal araştırma) Phylogenetics of Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae) based on 16S rRNA amplified from seven aphid species1 Farklı yaprak biti türlerinden izole edilen Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae)’nın 16S rRNA’ya göre filogenetiği Gül SATAR2* Abstract The obligate symbiont, Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae) is important for the physiological processes of aphids. Buchnera aphidicola genes detected in seven aphid species, collected in 2017 from different plants and altitudes in Adana Province, Turkey were analyzed to reveal phylogenetic interactions between Buchnera and aphids. The 16S rRNA gene was amplified and sequenced for this purpose and a phylogenetic tree built up by the neighbor-joining method. A significant correlation between B. aphidicola genes and the aphid species was revealed by this phylogenetic tree and the haplotype network. Specimens collected in Feke from Solanum melongena L. was distinguished from the other B. aphidicola genes on Aphis gossypii Glover, 1877 (Hemiptera: Aphididae) with a high bootstrap value of 99. Buchnera aphidicola in Myzus spp. was differentiated from others, and the difference between Myzus cerasi (Fabricius, 1775) and Myzus persicae (Sulzer, 1776) was clear. Although, B. aphidicola is specific to its host aphid, certain nucleotide differences obtained within the species could enable specification to geographic region or host plant in the future. Keywords: Aphid, genetic similarity, phylogenetics, symbiotic bacterium Öz Obligat simbiyont, Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae), yaprak bitlerinin fizyolojik olaylarının sürdürülmesinde önemli bir rol oynar. -
Introductory Activities
TEACHER’S GUIDE Introduction Dean Madden Introductory NCBE, University of Reading activities Version 1.0 CaseCase Studies introduction Introductory activities The activities in this section explain the basic principles behind the construction of phylogenetic trees, DNA structure and sequence alignment. Students are also intoduced to the Geneious software. Before carrying out the activities in the DNA to Darwin Case studies, students will need to understand: • the basic principles behind the construction of an evolutionary tree or phylogeny; • the basic structure of DNA and proteins; • the reasons for and the principle of alignment; • use of some features of the Geneious computer software (basic version). The activities in this introduction are designed to achieve this. Some of them will reinforce what students may already know; others involve new concepts. The material includes extension activities for more able students. Evolutionary trees In 1837, 12 years before the publication of On the Origin of Species, Charles Darwin famously drew an evolutionary tree in one of his notebooks. The Origin also included a diagram of an evolutionary tree — the only illustration in the book. Two years before, Darwin had written to his friend Thomas Henry Huxley, saying: ‘The time will come, I believe, though I shall not live to see it, when we shall have fairly true genealogical trees of each great kingdom of Nature.’ Today, scientists are trying to produce the ‘Tree of Life’ Darwin foresaw, using protein, DNA and RNA sequence data. Evolutionary trees are covered on pages 2–7 of the Student’s guide and in the PowerPoint and Keynote slide presentations. -
Niche Evolution Evolutionary Biology Oxford Bibliographies
8/23/2016 Niche Evolution Evolutionary Biology Oxford Bibliographies Niche Evolution Alex Pyron LAST MODIFIED: 26 MAY 2016 DOI: 10.1093/OBO/97801999417280075 Introduction The evolution of species’ niches is a process that is fundamental to investigations in numerous fields of biology, including speciation, community assembly, and longterm regional and global diversification processes. It forms the nexus between ecological and evolutionary questions. Topics as diverse as ecological speciation, niche conservatism, species coexistence, and historical biogeography all rely on interpreting patterns and drivers of species’ niches through time and across landscapes. Despite this importance, a distinct research agenda concerning niche evolution as a discrete topic of inquiry has yet to emerge. Niche evolution is often considered as a sidebar or of secondary importance when addressing questions such as “how did two species diverge?” Basic questions such as “what is a niche,” “what is the biological basis of niche evolution,” “at what scale should we evaluate niche evolution,” and “how can we observe niche evolution at different timescales” have rarely been addressed directly, or not at all in some systems. However, various intellectual threads connecting these ideas are evident in a number of recent and historical publications, giving some semblance of form to a framework for interpreting and evaluating niche evolution, and outlining major areas for future research from an evolutionary perspective. There is a reverse perspective from the macroecological scale as well, with questions involving coexistence, distributions and ranges, food webs, and other organismal attributes. General Overview Niche evolution has rarely, if ever, been addressed in depth as a standalone topic. -
1 "Principles of Phylogenetics: Ecology
"PRINCIPLES OF PHYLOGENETICS: ECOLOGY AND EVOLUTION" Integrative Biology 200 Spring 2016 University of California, Berkeley D.D. Ackerly March 7, 2016. Phylogenetics and Adaptation What is to be explained? • What is the evolutionary history of trait x that we see in a lineage (homology) or multiple lineages (homoplasy) - adaptations as states • Is natural selection the primary evolutionary process leading to the ‘fit’ of organisms to their environment? • Why are some traits more prevalent (occur in more species): number of origins vs. trait- dependent diversification rates (speciation – extinction) Some high points in the history of the adaptation debate: 1950s • Modern Synthesis of Genetics (Dobzhansky), Paleontology (Simpson) and Systematics (Mayr, Grant) 1960s • Rise of evolutionary ecology – synthesis of ecology with strong adaptationism via optimality theory, with little to no history; leads to Sociobiology in the 70s • Appearance of cladistics (Hennig) 1972 • Eldredge and Gould – punctuated equilibrium – argue that Modern Synthesis can’t explain pervasive observation of stasis in fossil record; Gould focuses on development and constraint as explanations, Eldredge more on ecology and importance of migration to minimize selective pressure 1979 • Gould and Lewontin – Spandrels – general critique of adaptationist program and call for rigorous hypothesis testing of alternatives for the ‘fit’ between organism and environment 1980’s • Debate on whether macroevolution can be explained by microevolutionary processes • Comparative methods -
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............ -
Working at the Interface of Phylogenetics and Population
Molecular Ecology (2007) 16, 839–851 doi: 10.1111/j.1365-294X.2007.03192.x WorkingBlackwell Publishing Ltd at the interface of phylogenetics and population genetics: a biogeographical analysis of Triaenops spp. (Chiroptera: Hipposideridae) A. L. RUSSELL,* J. RANIVO,†‡ E. P. PALKOVACS,* S. M. GOODMAN‡§ and A. D. YODER¶ *Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA, †Département de Biologie Animale, Université d’Antananarivo, Antananarivo, BP 106, Madagascar, ‡Ecology Training Program, World Wildlife Fund, Antananarivo, BP 906 Madagascar, §The Field Museum of Natural History, Division of Mammals, 1400 South Lake Shore Drive, Chicago, IL 60605, USA, ¶Department of Ecology and Evolutionary Biology, PO Box 90338, Duke University, Durham, NC 27708, USA Abstract New applications of genetic data to questions of historical biogeography have revolutionized our understanding of how organisms have come to occupy their present distributions. Phylogenetic methods in combination with divergence time estimation can reveal biogeo- graphical centres of origin, differentiate between hypotheses of vicariance and dispersal, and reveal the directionality of dispersal events. Despite their power, however, phylo- genetic methods can sometimes yield patterns that are compatible with multiple, equally well-supported biogeographical hypotheses. In such cases, additional approaches must be integrated to differentiate among conflicting dispersal hypotheses. Here, we use a synthetic approach that draws upon the analytical strengths of coalescent and population genetic methods to augment phylogenetic analyses in order to assess the biogeographical history of Madagascar’s Triaenops bats (Chiroptera: Hipposideridae). Phylogenetic analyses of mitochondrial DNA sequence data for Malagasy and east African Triaenops reveal a pattern that equally supports two competing hypotheses. -
Dr. Michael L. Rosenzweig the Man the Scientist the Legend
BIOL 7083 Community Ecologist Presentation Dr. Michael L. Rosenzweig The Man The Scientist The Legend Michael Rosenzweigs Biographical Information Born in 1941 Jewish Parents wanted him to be a physician Ph.D. University of Pennsylvania, 1966 Advisor: Robert H. MacArthur, Ph.D. Married for over 40 years to Carole Ruth Citron Together they have three children, and several grandchildren Biographical Information Known to be an innovator Founded the Department of Ecology & Evolutionary Biology at the University of Arizona in 1975, and was its first head In 1987 he founded the scientific journal Evolutionary Ecology In 1998, when prices for journals began to rise, he founded a competitor, Evolutionary Ecology Research Honor and Awards Ecological Society of America Eminent Ecologist Award for 2008 Faculty of Sci, Univ Arizona, Career Teaching Award, 2001 Ninth Lukacs Symp: Twentieth Century Distinguished Service Award, 1999 International Ecological Soc: Distinguished Statistical Ecologist, 1998 Udall Center for Studies in Public Policy, Univ Arizona: Fellow, 1997±8 Mountain Research Center, Montana State Univ: Distinguished Lecturer, 1997 Univ Umeå, Sweden: Distinguished Visiting Scholar, 1997 Univ Miami: Distinguished Visiting Professor, 1996±7 Univ British Columbia: Dennis Chitty Lecturer, 1995±6 Iowa State Univ: 30th Paul L. Errington Memorial Lecturer, 1994 Michigan State Univ, Kellogg Biological Station: Eminent Ecologist, 1992 Honor and Awards Ben-Gurion Univ of the Negev, Israel: Jacob Blaustein Scholar, 1992