Resolving the Backbone of the Brassicaceae Phylogeny for Investigating Trait Diversity
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Selecting Molecular Markers for a Specific Phylogenetic Problem
MOJ Proteomics & Bioinformatics Review Article Open Access Selecting molecular markers for a specific phylogenetic problem Abstract Volume 6 Issue 3 - 2017 In a molecular phylogenetic analysis, different markers may yield contradictory Claudia AM Russo, Bárbara Aguiar, Alexandre topologies for the same diversity group. Therefore, it is important to select suitable markers for a reliable topological estimate. Issues such as length and rate of evolution P Selvatti Department of Genetics, Federal University of Rio de Janeiro, will play a role in the suitability of a particular molecular marker to unfold the Brazil phylogenetic relationships for a given set of taxa. In this review, we provide guidelines that will be useful to newcomers to the field of molecular phylogenetics weighing the Correspondence: Claudia AM Russo, Molecular Biodiversity suitability of molecular markers for a given phylogenetic problem. Laboratory, Department of Genetics, Institute of Biology, Block A, CCS, Federal University of Rio de Janeiro, Fundão Island, Keywords: phylogenetic trees, guideline, suitable genes, phylogenetics Rio de Janeiro, RJ, 21941-590, Brazil, Tel 21 991042148, Fax 21 39386397, Email [email protected] Received: March 14, 2017 | Published: November 03, 2017 Introduction concept that occupies a central position in evolutionary biology.15 Homology is a qualitative term, defined by equivalence of parts due Over the last three decades, the scientific field of molecular to inherited common origin.16–18 biology has experienced remarkable advancements -
Conceptual Barriers to Progress Within Evolutionary Biology
Found Sci (2009) 14:195–216 DOI 10.1007/s10699-008-9153-8 Conceptual Barriers to Progress Within Evolutionary Biology Kevin N. Laland · John Odling-Smee · Marcus W. Feldman · Jeremy Kendal Published online: 26 November 2008 © Springer Science+Business Media B.V. 2008 Abstract In spite of its success, Neo-Darwinism is faced with major conceptual barriers to further progress, deriving directly from its metaphysical foundations. Most importantly, neo- Darwinism fails to recognize a fundamental cause of evolutionary change, “niche construc- tion”. This failure restricts the generality of evolutionary theory, and introduces inaccuracies. It also hinders the integration of evolutionary biology with neighbouring disciplines, includ- ing ecosystem ecology, developmental biology, and the human sciences. Ecology is forced to become a divided discipline, developmental biology is stubbornly difficult to reconcile with evolutionary theory, and the majority of biologists and social scientists are still unhappy with evolutionary accounts of human behaviour. The incorporation of niche construction as both a cause and a product of evolution removes these disciplinary boundaries while greatly generalizing the explanatory power of evolutionary theory. Keywords Niche construction · Evolutionary biology · Ecological inheritance · Ecosystem ecology · Developmental biology 1 Introduction On the face of it, evolutionary biology is a thriving discipline: It is built on the solid theoret- ical foundations of mathematical population biology; it has a rich and productive empirical K. N. Laland (B) School of Biology, University of St. Andrews, Bute Building, Queens Terrace, St. Andrews, Fife KY16 9TS, UK e-mail: [email protected] J. Odling-Smee Mansfield College, University of Oxford, Oxford OX1 3TF, UK M. -
An Automated Pipeline for Retrieving Orthologous DNA Sequences from Genbank in R
life Technical Note phylotaR: An Automated Pipeline for Retrieving Orthologous DNA Sequences from GenBank in R Dominic J. Bennett 1,2,* ID , Hannes Hettling 3, Daniele Silvestro 1,2, Alexander Zizka 1,2, Christine D. Bacon 1,2, Søren Faurby 1,2, Rutger A. Vos 3 ID and Alexandre Antonelli 1,2,4,5 ID 1 Gothenburg Global Biodiversity Centre, Box 461, SE-405 30 Gothenburg, Sweden; [email protected] (D.S.); [email protected] (A.Z.); [email protected] (C.D.B.); [email protected] (S.F.); [email protected] (A.A.) 2 Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE-405 30 Gothenburg, Sweden 3 Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; [email protected] (H.H.); [email protected] (R.A.V.) 4 Gothenburg Botanical Garden, Carl Skottsbergsgata 22A, SE-413 19 Gothenburg, Sweden 5 Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford St., Cambridge, MA 02138 USA * Correspondence: [email protected] Received: 28 March 2018; Accepted: 1 June 2018; Published: 5 June 2018 Abstract: The exceptional increase in molecular DNA sequence data in open repositories is mirrored by an ever-growing interest among evolutionary biologists to harvest and use those data for phylogenetic inference. Many quality issues, however, are known and the sheer amount and complexity of data available can pose considerable barriers to their usefulness. A key issue in this domain is the high frequency of sequence mislabeling encountered when searching for suitable sequences for phylogenetic analysis. -
Jesse D. Hollister
Ecology and Evolutionary Biology Stony Brook University [email protected] Jesse D. Hollister Education 2009 Ph.D. Biological Sciences, University of California, Irvine 2003 B.A. Biology, Sonoma State University Professional Experience Jan. 2015- Assistant Professor, Dept. of Ecology and Evolutionary Biology, Stony Brook University 2012-2014 Postdoctoral Fellow, Dept. of Ecology and Evolutionary Biology, University of Toronto. Advisors: Stephen Wright, Marc Johnson 2009-2011 Postdoctoral Fellow, Dept. of Organismic and Evolutionary Biology, Harvard University. Advisor: Kirsten Bomblies Publications 13. Hollister, J.D. 2014. Polyploidy: adaptation to the genomic environment. New Phytologist. DOI: 10.1111/nph.12942 12. Hough, J., J.D. Hollister, W. Wang, S.C.H. Barrett, and S.I Wright. 2014. Genetic degeneration of old and young Y chromosomes in the flowering plant Rumex hastatulus. PNAS. 111(21): 7713-7718. 11. Hollister, J.D. 2014. Genomic variation in Arabidopsis: tools and insights from next generation sequencing. Chromosome Research. 1-13. 10. Yant, L. *, J.D. Hollister*, K. Wright, B. Arnold, J. Higgins, F. C. Franklin, and K. Bomblies. 2013. Meiotic adaptation to a genome-doubled state in Arabidopsis arenosa. Curr. Biol. 23(21): R961-63 *Co-first Authors 9. Hollister, J.D., B. Arnold, E. Svedin, K. Xue, B. Dilkes, and K. Bomblies. 2012. Genetic adaptation associated with genome doubling in autotetraploid Arabidopsis arenosa. PLoS Genet. 8(12), e1003093 8. B.C. Hunter, J. D. Hollister, and K. Bomblies. 2012. Epigenetic inheritance: what news for evolution? Curr. Biol. 22(2): R54-55. 7. Hollister, J.D., L. Smith, Y. Guo, F. Ott, D. Weigel, and B. -
Conserving Europe's Threatened Plants
Conserving Europe’s threatened plants Progress towards Target 8 of the Global Strategy for Plant Conservation Conserving Europe’s threatened plants Progress towards Target 8 of the Global Strategy for Plant Conservation By Suzanne Sharrock and Meirion Jones May 2009 Recommended citation: Sharrock, S. and Jones, M., 2009. Conserving Europe’s threatened plants: Progress towards Target 8 of the Global Strategy for Plant Conservation Botanic Gardens Conservation International, Richmond, UK ISBN 978-1-905164-30-1 Published by Botanic Gardens Conservation International Descanso House, 199 Kew Road, Richmond, Surrey, TW9 3BW, UK Design: John Morgan, [email protected] Acknowledgements The work of establishing a consolidated list of threatened Photo credits European plants was first initiated by Hugh Synge who developed the original database on which this report is based. All images are credited to BGCI with the exceptions of: We are most grateful to Hugh for providing this database to page 5, Nikos Krigas; page 8. Christophe Libert; page 10, BGCI and advising on further development of the list. The Pawel Kos; page 12 (upper), Nikos Krigas; page 14: James exacting task of inputting data from national Red Lists was Hitchmough; page 16 (lower), Jože Bavcon; page 17 (upper), carried out by Chris Cockel and without his dedicated work, the Nkos Krigas; page 20 (upper), Anca Sarbu; page 21, Nikos list would not have been completed. Thank you for your efforts Krigas; page 22 (upper) Simon Williams; page 22 (lower), RBG Chris. We are grateful to all the members of the European Kew; page 23 (upper), Jo Packet; page 23 (lower), Sandrine Botanic Gardens Consortium and other colleagues from Europe Godefroid; page 24 (upper) Jože Bavcon; page 24 (lower), Frank who provided essential advice, guidance and supplementary Scumacher; page 25 (upper) Michael Burkart; page 25, (lower) information on the species included in the database. -
"Phylogenetic Analysis of Protein Sequence Data Using The
Phylogenetic Analysis of Protein Sequence UNIT 19.11 Data Using the Randomized Axelerated Maximum Likelihood (RAXML) Program Antonis Rokas1 1Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee ABSTRACT Phylogenetic analysis is the study of evolutionary relationships among molecules, phenotypes, and organisms. In the context of protein sequence data, phylogenetic analysis is one of the cornerstones of comparative sequence analysis and has many applications in the study of protein evolution and function. This unit provides a brief review of the principles of phylogenetic analysis and describes several different standard phylogenetic analyses of protein sequence data using the RAXML (Randomized Axelerated Maximum Likelihood) Program. Curr. Protoc. Mol. Biol. 96:19.11.1-19.11.14. C 2011 by John Wiley & Sons, Inc. Keywords: molecular evolution r bootstrap r multiple sequence alignment r amino acid substitution matrix r evolutionary relationship r systematics INTRODUCTION the baboon-colobus monkey lineage almost Phylogenetic analysis is a standard and es- 25 million years ago, whereas baboons and sential tool in any molecular biologist’s bioin- colobus monkeys diverged less than 15 mil- formatics toolkit that, in the context of pro- lion years ago (Sterner et al., 2006). Clearly, tein sequence analysis, enables us to study degree of sequence similarity does not equate the evolutionary history and change of pro- with degree of evolutionary relationship. teins and their function. Such analysis is es- A typical phylogenetic analysis of protein sential to understanding major evolutionary sequence data involves five distinct steps: (a) questions, such as the origins and history of data collection, (b) inference of homology, (c) macromolecules, developmental mechanisms, sequence alignment, (d) alignment trimming, phenotypes, and life itself. -
New Syllabus
M.Sc. BIOINFORMATICS REGULATIONS AND SYLLABI (Effective from 2019-2020) Centre for Bioinformatics SCHOOL OF LIFE SCIENCES PONDICHERRY UNIVERSITY PUDUCHERRY 1 Pondicherry University School of Life Sciences Centre for Bioinformatics Master of Science in Bioinformatics The M.Sc Bioinformatics course started since 2007 under UGC Innovative program Program Objectives The main objective of the program is to train the students to learn an innovative and evolving field of bioinformatics with a multi-disciplinary approach. Hands-on sessions will be provided to train the students in both computer and experimental labs. Program Outcomes On completion of this program, students will be able to: Gain understanding of the principles and concepts of both biology along with computer science To use and describe bioinformatics data, information resource and also to use the software effectively from large databases To know how bioinformatics methods can be used to relate sequence to structure and function To develop problem-solving skills, new algorithms and analysis methods are learned to address a range of biological questions. 2 Eligibility for M.Sc. Bioinformatics Students from any of the below listed Bachelor degrees with minimum 55% of marks are eligible. Bachelor’s degree in any relevant area of Physics / Chemistry / Computer Science / Life Science with a minimum of 55% of marks 3 PONDICHERRY UNIVERSITY SCHOOL OF LIFE SCIENCES CENTRE FOR BIOINFORMATICS LIST OF HARD-CORE COURSES FOR M.Sc. BIOINFORMATICS (Academic Year 2019-2020 onwards) Course -
Molecular Phylogenetics Suggests a New Classification and Uncovers Convergent Evolution of Lithistid Demosponges
RESEARCH ARTICLE Deceptive Desmas: Molecular Phylogenetics Suggests a New Classification and Uncovers Convergent Evolution of Lithistid Demosponges Astrid Schuster1,2, Dirk Erpenbeck1,3, Andrzej Pisera4, John Hooper5,6, Monika Bryce5,7, Jane Fromont7, Gert Wo¨ rheide1,2,3* 1. Department of Earth- & Environmental Sciences, Palaeontology and Geobiology, Ludwig-Maximilians- Universita¨tMu¨nchen, Richard-Wagner Str. 10, 80333 Munich, Germany, 2. SNSB – Bavarian State Collections OPEN ACCESS of Palaeontology and Geology, Richard-Wagner Str. 10, 80333 Munich, Germany, 3. GeoBio-CenterLMU, Ludwig-Maximilians-Universita¨t Mu¨nchen, Richard-Wagner Str. 10, 80333 Munich, Germany, 4. Institute of Citation: Schuster A, Erpenbeck D, Pisera A, Paleobiology, Polish Academy of Sciences, ul. Twarda 51/55, 00-818 Warszawa, Poland, 5. Queensland Hooper J, Bryce M, et al. (2015) Deceptive Museum, PO Box 3300, South Brisbane, QLD 4101, Australia, 6. Eskitis Institute for Drug Discovery, Griffith Desmas: Molecular Phylogenetics Suggests a New Classification and Uncovers Convergent Evolution University, Nathan, QLD 4111, Australia, 7. Department of Aquatic Zoology, Western Australian Museum, of Lithistid Demosponges. PLoS ONE 10(1): Locked Bag 49, Welshpool DC, Western Australia, 6986, Australia e116038. doi:10.1371/journal.pone.0116038 *[email protected] Editor: Mikhail V. Matz, University of Texas, United States of America Received: July 3, 2014 Accepted: November 30, 2014 Abstract Published: January 7, 2015 Reconciling the fossil record with molecular phylogenies to enhance the Copyright: ß 2015 Schuster et al. This is an understanding of animal evolution is a challenging task, especially for taxa with a open-access article distributed under the terms of the Creative Commons Attribution License, which mostly poor fossil record, such as sponges (Porifera). -
Molecular Homology and Multiple-Sequence Alignment: an Analysis of Concepts and Practice
CSIRO PUBLISHING Australian Systematic Botany, 2015, 28, 46–62 LAS Johnson Review http://dx.doi.org/10.1071/SB15001 Molecular homology and multiple-sequence alignment: an analysis of concepts and practice David A. Morrison A,D, Matthew J. Morgan B and Scot A. Kelchner C ASystematic Biology, Uppsala University, Norbyvägen 18D, Uppsala 75236, Sweden. BCSIRO Ecosystem Sciences, GPO Box 1700, Canberra, ACT 2601, Australia. CDepartment of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322-5305, USA. DCorresponding author. Email: [email protected] Abstract. Sequence alignment is just as much a part of phylogenetics as is tree building, although it is often viewed solely as a necessary tool to construct trees. However, alignment for the purpose of phylogenetic inference is primarily about homology, as it is the procedure that expresses homology relationships among the characters, rather than the historical relationships of the taxa. Molecular homology is rather vaguely defined and understood, despite its importance in the molecular age. Indeed, homology has rarely been evaluated with respect to nucleotide sequence alignments, in spite of the fact that nucleotides are the only data that directly represent genotype. All other molecular data represent phenotype, just as do morphology and anatomy. Thus, efforts to improve sequence alignment for phylogenetic purposes should involve a more refined use of the homology concept at a molecular level. To this end, we present examples of molecular-data levels at which homology might be considered, and arrange them in a hierarchy. The concept that we propose has many levels, which link directly to the developmental and morphological components of homology. -
Incorporating Molecular Data Into Your Phylogenetic Tree Activity Adapted from Bishop Museum ECHO Project Taxonomy Module and ENSI/SENSI Making Cladograms Lesson
Incorporating Molecular Data into your Phylogenetic Tree Activity adapted from Bishop Museum ECHO Project Taxonomy Module and ENSI/SENSI Making Cladograms Lesson In addition to morphological data, molecular data, such as DNA sequences, can also tell us about the evolutionary relationships between organisms. For example, in the DNA sequence data below, we can see that the E. coli sequence is very different from the sequences of humans, yeast and corn (this sequence data comes from one slowly evolving gene, called the 16S rRNA gene). This makes sense considering that bacteria are in their own domain, and so their DNA sequences are very different than the other organisms. Your job is to incorporate the DNA sequence data in the following table into your morphological phylogeny from last class. You can consider the tunicate to be the most ancestral species. Examine the sequences, and determine how many DNA bases each organism has in common with the tunicate. It may help to highlight common sequences in different colors. Organism Genotype # of Bases in Common Tunicate (Ancestor) GTAAGCCGTTTAGCGTTAACGTCCGTAGCTAAGGTCCGTAGC 42 Yellowfin 33 tuna GTAAAATTTTTAGCGTTAATTCATGTAGCTAAGGTCCGTAGC Coqui frog GTAAAATTAAAAGCGTTAATTCATGTAGCTAAGGTCCGGCGC 28 Green sea 24 turtle GTATAATTAAAAGCGTTAATTCATGTAGCTTCCGTCCGGCGC Wallaby 18 GTTTAATTAAAAGCGTTCCTTCATGTAGCTTCCACGCGGCGC Hoary bat 16 GTTTAATTAAAAGATTTCCTTCATGTAGCTTCCACGCGGCGC Human 15 GTTTAATTAAAAGATTTCCTTCATGTGGCTTCCACGCGGCGC Material developed for the University of Hawaii-Manoa GK-12 program (NSF grant #05385500). Website: www.hawaii.edu/gk-12/evolution. Duplication for educational purposes only. Enter the number of bases each organism has in common with the tunicate into the phylogeny below: Tunicate Tuna Frog Turtle Wallaby Bat Human ____ bases ____ bases ____ bases ____ bases ____ bases ____ bases Does the molecular data agree with the morphological data? What would you do if the molecular and morphological data do not agree? Material developed for the University of Hawaii-Manoa GK-12 program (NSF grant #05385500). -
Els Herbaris, Fonts Per Al Coneixement De La Flora. Aplicacions En Conservació I Taxonomia
Els herbaris, fonts per al coneixement de la flora. Aplicacions en conservació i taxonomia Neus Nualart Dexeus ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tdx.cat) i a través del Dipòsit Digital de la UB (diposit.ub.edu) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX ni al Dipòsit Digital de la UB. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX o al Dipòsit Digital de la UB (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora. ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tdx.cat) y a través del Repositorio Digital de la UB (diposit.ub.edu) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR o al Repositorio Digital de la UB. -
Tansley Insight Rapid Evolution in Plant–Microbe Interactions – an Evolutionary Genomics Perspective
Review Tansley insight Rapid evolution in plant–microbe interactions – an evolutionary genomics perspective Author for correspondence: Sophie de Vries1 , Eva H. Stukenbrock2,3 and Laura E. Rose1 Laura E. Rose 1 € € € Tel: +49 211 81 13406 Institute of Population Genetics, Heinrich Heine University Dusseldorf, Universitatsstraße 1 40225, Dusseldorf, Germany; Email: [email protected] 2Environmental Genomics, Max Planck Institute for Evolutionary Biology, Pl€on, Germany; 3The Botanical Institute, Christian- Received: 6 May 2019 Albrechts University of Kiel, Am Botanischen Garden 9-11 24118, Kiel, Germany Accepted: 13 January 2020 Contents Summary 1256 VI. The role of reticulate evolution 1258 I. Introduction 1256 VII. Concluding comments 1260 II. Signatures of selection 1257 Acknowledgements 1260 III. Convergent evolution 1257 References 1261 IV. Cryptic genetic variation 1258 V. Evidence of host jumps 1258 Summary New Phytologist (2020) 226: 1256–1262 Access to greater genomic resolution through new sequencing technologies is transforming the doi: 10.1111/nph.16458 field of plant pathology. As scientists embrace these new methods, some overarching patterns and observations come into focus. Evolutionary genomic studies are used to determine not only Key words: co-evolution, convergent the origins of pathogen lineages and geographic patterns of genetic diversity, but also to discern evolution, crop protection, genetic variation, how natural selection structures genetic variation across the genome. With greater and greater natural selection, phytopathogens. resolution, we can now pinpoint the targets of selection on a large scale. At multiple levels, crypsis and convergent evolution are evident. Host jumps and shifts may be more pervasive than once believed, and hybridization and horizontal gene transfer (HGT) likely play important roles in the emergence of genetic novelty.