Lineages, Splits and Divergence Challenge Whether the Terms Anagenesis and Cladogenesis Are Necessary
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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. -
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. -
Evolutionary Trends
Evo Edu Outreach (2008) 1:259–273 DOI 10.1007/s12052-008-0055-6 ORIGINAL SCIENTIFIC ARTICLE Evolutionary Trends T. Ryan Gregory Published online: 25 June 2008 # Springer Science + Business Media, LLC 2008 Abstract The occurrence, generality, and causes of large- a pattern alone, to extrapolate from individual cases to scale evolutionary trends—directional changes over long entire systems, and to focus on extremes rather than periods of time—have been the subject of intensive study recognizing diversity. This is especially true in the study and debate in evolutionary science. Large-scale patterns in the of historically contingent processes such as evolution, history of life have also been of considerable interest to which spans nearly four billion years and encompasses nonspecialists, although misinterpretations and misunder- the rise and disappearance of hundreds of millions, if not standings of this important issue are common and can have billions, of species and the struggles of an unimaginably significant implications for an overall understanding of large number of individual organisms. evolution. This paper provides an overview of how trends This is not to say that no patterns exist in the history of are identified, categorized, and explained in evolutionary life, only that the situation is often far more complex than is biology. Rather than reviewing any particular trend in detail, acknowledged. Notably, the most common portrayals of the intent is to provide a framework for understanding large- evolution in nonacademic settings include not just change, scale evolutionary patterns in general and to highlight the fact but directional, adaptive change—if not outright notions of that both the patterns and their underlying causes are usually “advancement”—and it is fair to say that such a view has in quite complex. -
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 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). -
The Cambrian and Beyond A. Types of Fossils 1. Compression
The Cambrian and Beyond A. Types of Fossils 1. Compression & Impression fossils 2. Permineralized fossils 3. Casts & Molds 4. Unaltered remains – mummy B. Sorting out the Fossil Record: Strengths & Weaknesses 1. Lowland and shallow marine bias 2. Hard part bias 3. Age bias 4. Goal is to recognize the constraints and still be creative C. Cambrian Explosion Revisited – The Metazoan Body Plan 1. All animal phyla appeared in ~40 million years! 2. Symmetry – Diploblasts and Triplotblasts (Radial and Bilateral) a. Ecto/Endo vs Ecto/Endo/Mesoderm 3. Coelom or fluid filled cavity via mesoderm lined peritoneum a. Coelomates, pseudocoelomates, acoelomates 4. Protostomes (Ecdysozoans & Lophotrochozoans) and deuterostomes a. both have bilateral symmetry, true coeloms, 3 tissue types b. spiral cleavage vs. radial cleavage c. gastrulation – first the mouth or second the mouth 5. Notochords.... D. Ediacaran & Burgess Shale Faunas 1. Ediacaran – Soft bodies forms, many trace type fossils 2. Burgess Shale – Wide variety of body plans evolved, only a subset remained, fewer yet exist today. Lecture 12.1 E. Phylogeny of Metazoans: New Ways to Make a Living 1. Environmental forcing functions, e.g., Oxygen Story 2. Genetic forcing functions, e.g., HOM/Hox genes F. Macroevolutionary Patterns: Evolution’s Greatest Hits! 1. Adaptive radiations correlated with adaptive innovations giving rise to a number of descendant species that occupy a large range of niches. a. Lacking competitors over superior adaptations 2. Major Examples: ! Cambrian Explosion for animals ! Twice with land plants, Silurian/Devonian and Cretaceous G. Punctuated Equilibrium 1. Darwin: aware of the problem, but wrote off as patchy record due to incompleteness of the fossil record. -
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. -
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 Framework for Post-Phylogenetic Systematics
A FRAMEWORK FOR POST-PHYLOGENETIC SYSTEMATICS Richard H. Zander Zetetic Publications, St. Louis Richard H. Zander Missouri Botanical Garden P.O. Box 299 St. Louis, MO 63166 [email protected] Zetetic Publications in St. Louis produces but does not sell this book. Any book dealer can obtain a copy for you through the usual channels. Resellers please contact CreateSpace Independent Publishing Platform of Amazon. ISBN-13: 978-1492220404 ISBN-10: 149222040X © Copyright 2013, all rights reserved. The image on the cover and title page is a stylized dendrogram of paraphyly (see Plate 1.1). This is, in macroevolutionary terms, an ancestral taxon of two (or more) species or of molecular strains of one taxon giving rise to a descendant taxon (unconnected comma) from one ancestral branch. The image on the back cover is a stylized dendrogram of two, genus-level speciational bursts or dis- silience. Here, the dissilient genus is the basic evolutionary unit (see Plate 13.1). This evolutionary model is evident in analysis of the moss Didymodon (Chapter 8) through superoptimization. A super- generative core species with a set of radiative, specialized descendant species in the stylized tree com- promises one genus. In this exemplary image; another genus of similar complexity is generated by the core supergenerative species of the first. TABLE OF CONTENTS Preface..................................................................................................................................................... 1 Acknowledgments.................................................................................................................................. -
•How Does Microevolution Add up to Macroevolution? •What Are Species
Microevolution and Macroevolution • How does Microevolution add up to macroevolution? • What are species? • How are species created? • What are anagenesis and cladogenesis? 1 Sunday, March 6, 2011 Species Concepts • Biological species concept: Defines species as interbreeding populations reproductively isolated from other such populations. • Evolutionary species concept: Defines species as evolutionary lineages with their own unique identity. • Ecological species concept: Defines species based on the uniqueness of their ecological niche. • Recognition species concept: Defines species based on unique traits or behaviors that allow members of one species to identify each other for mating. 2 Sunday, March 6, 2011 Reproductive Isolating Mechanisms • Premating RIMs Habitat isolation Temporal isolation Behavioral isolation Mechanical incompatibility • Postmating RIMs Sperm-egg incompatibility Zygote inviability Embryonic or fetal inviability 3 Sunday, March 6, 2011 Modes of Evolutionary Change 4 Sunday, March 6, 2011 Cladogenesis 5 Sunday, March 6, 2011 6 Sunday, March 6, 2011 7 Sunday, March 6, 2011 Evolution is “the simple way by which species (populations) become exquisitely adapted to various ends” 8 Sunday, March 6, 2011 All characteristics are due to the four forces • Mutation creates new alleles - new variation • Genetic drift moves these around by chance • Gene flow moves these from one population to the next creating clines • Natural selection increases and decreases them in frequency through adaptation 9 Sunday, March 6, 2011 Clines -
Palaeontology and Stratigraphy of the Inoceramid Species from the Mid-Turonian Through Upper Middle Coniacian in Japan
Acta Geologica Polonica, Vol. 48 (1998), No.4, pp. 435-482 Palaeontology and stratigraphy of the inoceramid species from the mid-Turonian through upper Middle Coniacian in Japan MASAYUKI NODAl & TATSURO MATSUMOT02 IFukagochi 5kumi, Oita 870-0881, Japan 2c/O Department of Earth & Planetary Science, Kyushu University 33, Fukuoka 812, Japan ABSTRACT: NODA, M. & MATSUMOTO, T. 1998. Palaeontology and stratigraphy of the inoceramid species from the mid-Turonian through upper Middle Coniacian in Japan. Acta Geologica Polonica, 48 (4),435-482. Warszawa. Upper Cretaceous strata are weIl exposed in many areas of Japan, although good exposures through the Turonian/Coniacian boundary are not common. This paper focuses on six areas in Hokkaido, Shikoku and Kyushu and documents the stratigraphical distributions of inoceramid species. These data are used to summarise the stratigraphical ranges of Turonian/Coniacian taxa in Japan. In part 1 of the paper, 17 species are described, with some biometric data and phylogenetic interpretation. These species are: Inoceramus (1noceramus) hobetsensis NAGAO & MATSUMOTO, I. (1.) teshioensis NAGAO & MATSUMOTO, 1. (1.) iburiensis NAGAO & MATSUMOTO, I. (1.) tenuistriatus NAGAO & MATSUMOTO, I. (1.) pedalionoides NAGAO & MATSUMOTO, I. (1.) lusatiae ANDERT, I. (1.) uwajimensis YEHARA, I. (Cremnoceramus) rotun datus FIEGE, I. (Cr.) ernsti HEINZ, I. (Cr.) deformis MEEK, I. (Cr.) lueckendorfensis TRaGER, I. (Platyceramus) tappuensis nom. nov., I. (Pl.) szaszi NODA & UCHIDA, I. (Volviceramus) koeneni MULLER, Mytiloides incertus (JI!VlBO), M. mytiloidiformis (TRaGER), and M. sublabiatus (MULLER). In part 2, the stratigraphical distribution and correlation of these species are discussed. INTRODUCTION boundary problem (MATSUMOTO & NODA 1985; NOD A 1992, 1996; NOD A & UCHIDA 1995). -
FOUR FORCES Natural Selection Mutation Genetic Drift Gene Flow
FOUR FORCES Natural Selection Mutation Genetic Drift Gene Flow NATURAL SELECTION Driving Force - DIRECTIONAL Acts on variation in population Therefore, most be VARIATION to begin with Where does variation come from? Ultimate source? MUTATION We think of mutation as deleterious, but NO - must have or no evolution Some mutations are advantageous Natural Selection operates on both kinds of MUTATION Also affecting variation is: GENETIC DRIFT Definition: RANDOM FLUCTUATIONS IN THE FREQUENCY OF AN ALLELE FROM GENERATION TO GENERATON IF the variation is neutral – then just RANDOM CHANCE if the allele is passed on -sometimes is passed on, sometimes not- 50/50 odds IF few people have the allele, just by CHANCE could disappear The smaller the population, the greater the chance the allele will disappear For example: Population with 10% Blue Eyes 2 -earthquake- just by chance 10 people with blue eyes die if population is 1 million, 100,000 people have blue eyes no effect BUT if population is 100 and 10 die, blue allele decreased A LOT NOTE: eye color is a NEUTRAL VARIATION- not affect likelihood of dying in an earthquake GENETIC DRIFT affects NEUTRAL ALLELES General tendency is to reduce variation INTERESTING KIND of GENETIC DRIFT: FOUNDER’S EFFECT Subset of a large population leaves and starts its own population BIG GROUP leaves: chances that allele frequencies will be the same SMALL GROUP leaves: increase chances allele frequencies will be different (sampling) Mutiny on the Bounty, Pitcairn Island M&Ms GENE FLOW (Also called admixture) result of: