UNIVERSITY of CALIFORNIA, IRVINE Insights Into Butterfly

Total Page:16

File Type:pdf, Size:1020Kb

UNIVERSITY of CALIFORNIA, IRVINE Insights Into Butterfly UNIVERSITY OF CALIFORNIA, IRVINE Insights into butterfly ecology and evolution DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biological Sciences by Nélida Beatriz Mercedes Pohl Pohl Dissertation Committee: Associate Professor Adriana D. Briscoe, Chair Professor Diane R. Campbell, co-Chair Professor Timothy J. Bradley 2009 1 © 2009 Nélida Beatriz Mercedes Pohl Pohl 2 The dissertation of Nélida Beatriz Mercedes Pohl Pohl is approved and is acceptable in quality and form for publication on microfilm and in digital formats: ___________________________ ___________________________ Committee Chair ___________________________ Committee co-Chair University of California, Irvine 2009 3 TABLE OF CONTENTS Page LIST OF FIGURES iv LIST OF TABLES v ACKNOWLEDGMENTS vi CURRICULUM VITAE vii ABSTRACT OF THE DISSERTATION ix INTRODUCTION 1 CHAPTER 1: Impact of duplicate gene copies on phylogenetic analysis and divergence time estimates in butterflies 6 Abstract 7 Introduction 9 Materials and Methods 13 Results and Discussion 20 Conclusions 34 CHAPTER 2: Butterflies show flower preferences but not constancy 36 Abstract 37 Introduction 39 Materials and Methods 43 Results 52 Discussion 58 TABLES AND FIGURES 64 REFERENCES 118 4 LIST OF FIGURES Page Figure 1.1 Alignments of UVRh, BRh, LWRh, EF-1α, and COI 64 Figure 1.2 Maximum Parsimony tree 86 Figure 1.3 Maximum Likelihood trees 88 Figure 1.4 Bayesian trees 90 Figure 1.5 Maximum parsimony, maximum likelihood and Bayesian faster trees 92 Figure 1.6 Bayesian estimates of rate multiplier parameter (m) by gene partition 93 Figure 1.7 Bayesian divergence time estimates with slower evolving genes 94 Figure 1.8 Bayesian divergence time estimates with faster evolving genes 95 Figure 2.1 Flower reflectance spectra 110 Figure 2.2 Spontaneous flower preferences 112 Figure 2.3 Spontaneous color preferences 113 Figure 2.4 Spontaneous morphology preferences 114 Figure 2.5 Spontaneous display size preferences 115 Figure 2.6 Seed production 116 5 LIST OF TABLES Page Table 1.1 List of primers 96 Table 1.2 Taxa and genes 98 Table 1.3 Tajima relative rates tests 100 Table 1.4 Partitioned Bremer support values 101 Table 1.5 Penalized likelihood age estimates 102 Table 1.6 Bayesian age estimates 103 Table 1.7 Bayesian age estimates using slower evolving gene copies 104 Table 1.8 Bayesian age estimates using faster evolving gene copies 107 Table 2.1 Tests of butterfly flower constancy behavior 117 6 ACKNOWLEDGEMENTS I would like to thank my committee; Adriana Briscoe, Diane Campbell and Tim Bradley for the support and criticism provided over the years. I’m also grateful to Art Weis for his help during the earlier stages of this dissertation. Stimulating discussions with Francesca Frentiu, Nick Waser and Mary Price generated ideas that improved this work. I thank Jennifer Van Wyk and Zac Davies for their participation in field work, and Marilou Sison-Mangus, Emily Yee and Saif Liswi for their contribution to the laboratory work. Jeffrey Thorne provided helpful assistance with data analyses. Support and funding came from Fulbright-CONICYT, UCI Edward A. Steinhaus Annual Memorial Award, Sigma Xi GIAR, the Lee R. G. Snyder Memorial Fund at RMBL, Southern California Phi Beta Kappa International Student Scholarship, UCI Miguel Velez Fellowship Award, site NSF REU grant DBI 0242960 to RMBL, NSF DEB-9806547, IOS-0646060 and IOS-0819936, and grants from the UCI Undergraduate Research Program. I am also indebted to my family and friends in Chile, and to the new friends I have made in these past five years, for the unconditional love that made me who I am today. 7 CURRICULUM VITAE Nélida Pohl EDUCATION 2009 PhD. Biological Sciences, Department of Ecology and Evolutionary Biology, University of California, Irvine, USA. 2003 MSc. Ecology and Evolutionary Biology, Universidad de Chile 2001 Photography Diploma, Universidad Católica de Chile 2000 BSc. Biological Sciences, Universidad de Chile GRANTS AND FELLOWSHIPS 2007-2008 UCI Miguel Velez Fellowship Award 2007-2008 Southern California Phi Beta Kappa International Student Scholarship 2007 Rocky Mountain Biological Laboratory Snyder grant 2006 Sigma Xi Grants in Aid of Research 2005-2006 UCI Edward A. Steinhaus Annual Memorial Award 2005 Rocky Mountain Biological Laboratory Snyder grant 2003-2007 Government of Chile (CONICYT) fellowship. 2003-2007 Fulbright fellowship. 2002-2003 Graduate Fellowship from the Millenium Center for Advanced studies in Ecology and Biodiversity, Chile. 2002-2003 University of Chile Graduate Thesis Support Grant. PROFESSIONAL APPOINTMENTS 2003-2008 Teaching assistant, Department of Ecology and Evolutionary Biology, University of California, Irvine. 2000-2002 Teaching assistant, Facultad de Ciencias, Universidad de Chile. 2000-2001 Research assistant, Laboratorio de Neurobiología y Biología del Conocer, Departamento de Biología, Universidad de Chile. PRESENTATIONS AT SCIENTIFIC MEETINGS 2008 Conference on the Ecology and Evolution of Plant-Pollinator Interactions, Milwaukee, Wisconsin. 2007 Invited speaker 9th International Pollination Symposium, Ames, Iowa. 2006 7th International Workshop on Molecular Biology and Genetics of the Lepidoptera, Crete, Greece 2006 IX Congreso Latinoamericano de Botánica, Santo Domingo, Republica Dominicana. 2005 NAS Sackler Colloquium on Tapestry of Life, Irvine, CA. 2005 Evolution Conference, Fairbanks, Alaska USA 8 2004 15th Science Conference of Sigma Chapter - Graduate Women in Science. California State University, Fullerton, CA. 2004 Southern California Animal Behavior conference, University of California, Los Angeles, CA. 2003 CalPEG (California Population and Evolutionary Genetics Meeting) University of California, Irvine, CA. 2002 Congreso anual de la Sociedad de Biología de Chile, Puyehue, Chile 2002 VIII Congreso Latinoamericano de Botánica, Cartagena de Indias, Colombia. 2001 Society of Neuroscience Meeting, San Diego, CA. 2001 Congreso anual de la Sociedad de Biología de Chile, Pucón, Chile. PUBLICATIONS Pohl, N, J. Van Wyk, and D.R. Campbell. Butterflies show flower preferences but not constancy. In preparation for Oecologia. Pohl, N, M.P. Sison-Mangus, E.N. Yee, S.W. Liswi and A.D. Briscoe. Impact of duplicate gene copies on phylogenetic analysis and divergence time estimates in butterflies. Submitted to BMC Evolutionary Biology. Medel, R., A. Valiente, C. Botto-Mahan, G. Carvallo, F. Perez, and N. Pohl. & Navarro, L. 2007. The influence of insects and hummingbirds on the geographical variation of the flower phenotype in Mimulus luteus. Ecography 30: 812-818. Pohl, N, G. Carvallo, C. Botto-Mahan, and R. Medel. 2006. Non-additive effects of flower damage and hummingbird pollination on the fecundity of Mimulus luteus. Oecologia 149: 648-655. Botto-Mahan, C., N. Pohl, and R. Medel. 2004. Nectar guide fluctuating asymmetry does not relate to female fitness in Mimulus luteus. Plant Ecology 174: 347 - 352. Herrera, G., M.J. Fernandez, N. Pohl, M. Diaz, F. Bozinovic, and A. Palacios. 2004. Sistema visual en el colibri austral (Sephanoides sephaniodes) y el picaflor cordillerano (Oreotrochilus leucopleurus): electrorretinografia y coloracion. Ornitologia Neotropical 15 (Suppl.): 215-222. Marín, G., J.C. Letelier, P. Henny, E. Sentis, G. Farfán, F. Fredes, N. Pohl, H. Karten, and J. Mpodozis. 2003. Spatial organization of the pigeon tectorotundal pathway: an interdigitating topographic arrangement. The Journal of Comparative Neurology 458: 361-380. 9 ABSTRACT OF THE DISSERTATION Insights into butterfly ecology and evolution By Nélida Beatriz Mercedes Pohl Pohl Doctor of Philosophy in Biological Sciences University of California, Irvine, 2009 Associate Professor Adriana D. Briscoe, Chair Professor Diane R. Campbell, co-Chair This dissertation examined features of the butterfly visual system. The first part used opsin genes, which code for the visual pigment proteins, in reconstruction of butterfly phylogenies. The second part examined butterfly behavioral responses to flower color visual cues. The first goal was to examine the effect of incorporating duplicate opsin gene copies on tree reconstruction and divergence time estimation. Sequences from 5 genes, including 3 opsins, were obtained from 27 taxa. Regardless of the phylogenetic reconstruction method, combined data sets analyses using either slower or faster evolving copies of duplicate genes, as well as individual analyses of blue and long-wavelength opsin genes, which are present in multiple copies in some lineages, resulted in a single topology in agreement with our current understanding of family relationships. Two methods resulted in similar divergence time estimates regardless of whether faster or slower evolving copies were used. Family-level results were congruent with other recent estimates, indicating an age of at least 150 MY for the first familial divergence. These results are consistent with overlapping timeframes for the diversification of butterfly 10 families and angiosperms and suggest the use of duplicate gene copies for phylogenetic reconstruction and divergence time estimation. The second goal was to explore the role of color in flower visiting behavior. This study represented the first field-based attempt with butterflies to phenotypically manipulate flower color and decouple its effect from that of other traits. In order to assess if butterflies possess spontaneous color preferences and if they behave as constant flower visitors, all visits to artificial arrays of Asteraceae flowers
Recommended publications
  • ANTC Environmental Assessment
    U.S. Department of the Interior Bureau of Land Management Environmental Assessment DOI-BLM-NV-B010-2013-0024-EA Telecommunication Facilities at Kingston, Dyer, and Hickison Summit July 2013 Applicant: Arizona Nevada Tower Corporation 6220 McLeod Drive Ste. 100 Las Vegas, Nevada 89120 Battle Mountain District Bureau of Land Management 50 Bastian Road Battle Mountain, Nevada 89820 Table of Contents Page Chapter 1 Introduction 1 1.1 Introduction 1 1.2 Background 1 1.3 Identifying Information 2 1.4 Location of Proposed Action 2 1.5 Preparing Office 2 1.6 Case File Numbers 2 1.7 Applicant 2 1.8 Proposed Action Summary 3 1.9 Conformance 3 1.10 Purpose & Need 3 1.11 Scoping, Public Involvement & Issues 4 Chapter 2 Proposed Action & Alternatives 11 2.1 Proposed Action 11 2.1.1 Best Management Practices 13 2.2 No Action Alternative 13 2.3 Alternatives Considered but Eliminated from Detailed Analysis 14 Chapter 3 Affected Environment & Environmental Consequences 15 3.1 Project Site Descriptions 15 3.2 Issues 16 3.2.1 Air Quality 18 3.2.1.1 Affected Environment 18 3.2.1.2 Environmental Consequences 18 3.2.2 Cultural/Historical Resources 18 3.2.2.1 Affected Environment 18 3.2.2.2 Environmental Consequences 18 3.2.3 Noxious Weeds/Invasive Non-native Plants 19 3.2.3.1 Affected Environment 19 3.2.3.2 Environmental Consequences 20 3.2.4 Native American Religious Concerns 20 3.2.4.1 Affected Environment 20 3.2.4.2 Environmental Consequences 20 3.2.5 Migratory Birds 21 3.2.5.1 Affected Environment 21 3.2.5.2 Environmental Consequences 22 3.2.6 Solid/Hazardous
    [Show full text]
  • Butterflies and Moths of Ada County, Idaho, United States
    Heliothis ononis Flax Bollworm Moth Coptotriche aenea Blackberry Leafminer Argyresthia canadensis Apyrrothrix araxes Dull Firetip Phocides pigmalion Mangrove Skipper Phocides belus Belus Skipper Phocides palemon Guava Skipper Phocides urania Urania skipper Proteides mercurius Mercurial Skipper Epargyreus zestos Zestos Skipper Epargyreus clarus Silver-spotted Skipper Epargyreus spanna Hispaniolan Silverdrop Epargyreus exadeus Broken Silverdrop Polygonus leo Hammock Skipper Polygonus savigny Manuel's Skipper Chioides albofasciatus White-striped Longtail Chioides zilpa Zilpa Longtail Chioides ixion Hispaniolan Longtail Aguna asander Gold-spotted Aguna Aguna claxon Emerald Aguna Aguna metophis Tailed Aguna Typhedanus undulatus Mottled Longtail Typhedanus ampyx Gold-tufted Skipper Polythrix octomaculata Eight-spotted Longtail Polythrix mexicanus Mexican Longtail Polythrix asine Asine Longtail Polythrix caunus (Herrich-Schäffer, 1869) Zestusa dorus Short-tailed Skipper Codatractus carlos Carlos' Mottled-Skipper Codatractus alcaeus White-crescent Longtail Codatractus yucatanus Yucatan Mottled-Skipper Codatractus arizonensis Arizona Skipper Codatractus valeriana Valeriana Skipper Urbanus proteus Long-tailed Skipper Urbanus viterboana Bluish Longtail Urbanus belli Double-striped Longtail Urbanus pronus Pronus Longtail Urbanus esmeraldus Esmeralda Longtail Urbanus evona Turquoise Longtail Urbanus dorantes Dorantes Longtail Urbanus teleus Teleus Longtail Urbanus tanna Tanna Longtail Urbanus simplicius Plain Longtail Urbanus procne Brown Longtail
    [Show full text]
  • African Butterfly News Can Be Downloaded Here
    LATE SUMMER EDITION: JANUARY / AFRICAN FEBRUARY 2018 - 1 BUTTERFLY THE LEPIDOPTERISTS’ SOCIETY OF AFRICA NEWS LATEST NEWS Welcome to the first newsletter of 2018! I trust you all have returned safely from your December break (assuming you had one!) and are getting into the swing of 2018? With few exceptions, 2017 was a very poor year butterfly-wise, at least in South Africa. The drought continues to have a very negative impact on our hobby, but here’s hoping that 2018 will be better! Braving the Great Karoo and Noorsveld (Mark Williams) In the first week of November 2017 Jeremy Dobson and I headed off south from Egoli, at the crack of dawn, for the ‘Harde Karoo’. (Is there a ‘Soft Karoo’?) We had a very flexible plan for the six-day trip, not even having booked any overnight accommodation. We figured that finding a place to commune with Uncle Morpheus every night would not be a problem because all the kids were at school. As it turned out we did not have to spend a night trying to kip in the Pajero – my snoring would have driven Jeremy nuts ... Friday 3 November The main purpose of the trip was to survey two quadrants for the Karoo BioGaps Project. One of these was on the farm Lushof, 10 km west of Loxton, and the other was Taaiboschkloof, about 50 km south-east of Loxton. The 1 000 km drive, via Kimberley, to Loxton was accompanied by hot and windy weather. The temperature hit 38 degrees and was 33 when the sun hit the horizon at 6 pm.
    [Show full text]
  • Evolution of Insect Color Vision: from Spectral Sensitivity to Visual Ecology
    EN66CH23_vanderKooi ARjats.cls September 16, 2020 15:11 Annual Review of Entomology Evolution of Insect Color Vision: From Spectral Sensitivity to Visual Ecology Casper J. van der Kooi,1 Doekele G. Stavenga,1 Kentaro Arikawa,2 Gregor Belušic,ˇ 3 and Almut Kelber4 1Faculty of Science and Engineering, University of Groningen, 9700 Groningen, The Netherlands; email: [email protected] 2Department of Evolutionary Studies of Biosystems, SOKENDAI Graduate University for Advanced Studies, Kanagawa 240-0193, Japan 3Department of Biology, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia; email: [email protected] 4Lund Vision Group, Department of Biology, University of Lund, 22362 Lund, Sweden; email: [email protected] Annu. Rev. Entomol. 2021. 66:23.1–23.28 Keywords The Annual Review of Entomology is online at photoreceptor, compound eye, pigment, visual pigment, behavior, opsin, ento.annualreviews.org anatomy https://doi.org/10.1146/annurev-ento-061720- 071644 Abstract Annu. Rev. Entomol. 2021.66. Downloaded from www.annualreviews.org Copyright © 2021 by Annual Reviews. Color vision is widespread among insects but varies among species, depend- All rights reserved ing on the spectral sensitivities and interplay of the participating photore- Access provided by University of New South Wales on 09/26/20. For personal use only. ceptors. The spectral sensitivity of a photoreceptor is principally determined by the absorption spectrum of the expressed visual pigment, but it can be modified by various optical and electrophysiological factors. For example, screening and filtering pigments, rhabdom waveguide properties, retinal structure, and neural processing all influence the perceived color signal.
    [Show full text]
  • Durrell D. Kapan
    Durrell D. Kapan Biographical United States Citizen details Born 7 August 1965, San Francisco, California Married, spouse: Shannon N. Bennett, one child Anika Ku’ulei Kapan Current Assistant Researcher, Center for Conservation and Research Training, Pacific position Biosciences Research Center, University of Hawaii, Manoa Present address: Honolulu, HI 96822 Email: Center for Conservation Research and Training durrell AT hawaii DOT edu 3050 Maile Way, Gilmore 406 Ph.D. Thesis “Divergent natural selection and Müllerian mimicry in polymorphic Education Heliconius cydno (Lepidoptera: Nymphalidae).” Supervised by Prof. Dolph Schluter, Department of Zoology, University of British Columbia, Vancouver, BC, Canada. April 1998. B.A. Zoology. Department of Zoology, University of California, Berkeley, California, U.S.A. May 1988. Career May 2006 – present. Assistant Researcher. Center for Conservation and Research Training, Pacific Biosciences Research Center, University of Hawaii, Manoa under Director Dr. Ken Kaneshiro. Currently investigating Evolutionary genetics and gene-expression of local adaptation in rare Hawaiian Drosophila in collaboration with Cam Muir from UH Hilo (UH NSF EPSCoR REAP award) and working to develop projects on the evolutionary ecology of infectious disease (Dengue virus, Leptospirosis) with researchers Dr. Shannon Bennett and Dr. Bruce Wilcox of the Asia Pacific Institute of Tropical Medicine and Infectious Disease, University of Hawaii, School of Medicine. May 2006 – present. IGERT: Integrative Training in Ecology, Conservation and Pathogen Biology Core Curriculum Team Leader. Pacific Biosciences Research Center & Asia Pacific Institute of Emerging Infectious Diseases University of Hawaii, Manoa. I am presently teaching the core-curriculum I designed for the recently awarded Integrative Training in Ecology, Conservation and Pathogen Biology program (NSF-IGERT # 0549514).
    [Show full text]
  • Taxonomy, Distribution and Biology of the Genus Cercyonis (Satyridae)
    1969 Journal of the Lepidopterists' Society 165 TAXONOMY, DISTRIBUTION AND BIOLOGY OF THE GENUS CERCYONIS (SATYRIDAE). 1. CHARACTERISTICS OF THE GENUS THOMAS C. EMMEL Department of Zoology, The University of Florida, Gainesville Evolution of butterflies in the satyrid genus Cercyonis has produced a complex of species groups and variable populations in North America that has not been reviewed thoroughly since the last century. The pur­ pose of this paper and others to follow in the series is to provide a critical, modern synthesis of taxonomic, distributional and biological information on all species and subspecies within the genus, based on extensive studies by the author from 1960 to the present. In future papers, each species group will be treated intensively, with plates of both sexes of adults of all subspecies, larvae, pupae, figures of eggs, genitalia, androconia, antennae and other important morphological characters, and chromosomes. Genetic data and hyblidization crosses will also be summarized in the present series from mateIial to be pub­ lished in full elsewhere. TAXONOMY The Nearctic genus Cercyonis has had over thirty specific, subspecif'ic, or varietal names applied to it, and no taxonomic revision has been at­ tempted since the 1880s (Edwards, 1880). On the basis of extensive field work, examination of over 5,000 adult C ercyonis specimens, rearing of many of the named forms, and studies of external and internal morphology of all these forms, the following new taxonomic treatment is proposed.l 1. Cercyonis sthenele (Boisduval, 1852) a. sthenele sthenele (Boisduval, 1852) b. sthenele silvestris (Edwards, 1861) c. sthenele paulus (Edwards, 1879) behrii (Grinnell, 19(5) d.
    [Show full text]
  • The Butterfly Plant Arms-Race Escalated by Gene and Genome Duplications
    The butterfly plant arms-race escalated by gene and genome duplications Patrick P. Edgera,b,c,1, Hanna M. Heidel-Fischerd,1, Michaël Bekaerte, Jadranka Rotaf, Gernot Glöcknerg,h, Adrian E. Plattsi, David G. Heckeld, Joshua P. Derj,k, Eric K. Wafulaj, Michelle Tanga, Johannes A. Hofbergerl, Ann Smithsonm,n, Jocelyn C. Hallo, Matthieu Blanchettei, Thomas E. Bureaup, Stephen I. Wrightq, Claude W. dePamphilisj, M. Eric Schranzl, Michael S. Barkerb, Gavin C. Conantr,s, Niklas Wahlbergf, Heiko Vogeld, J. Chris Piresa,s,2, and Christopher W. Wheatt,2 aDivision of Biological Sciences, University of Missouri, Columbia, MO 65211; bDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721; cDepartment of Plant and Microbial Biology, University of California, Berkeley, CA 94720; dDepartment of Entomology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany; eInstitute of Aquaculture, University of Stirling, Stirling FK9 4LA, Scotland, United Kingdom; fDepartment of Biology, University of Turku, FI-20014 Turku, Finland; gLeibniz Institute for Age Research, Fritz Lipmann Institute, 07745 Jena, Germany; hInstitute for Biochemistry I, University of Cologne, 50931 Koeln, Germany; iMcGill Centre for Bioinformatics, McGill University, Montreal, QC, Canada H3A 0E9; jDepartment of Biology, Pennsylvania State University, University Park, PA 16803; kDepartment of Biological Science, California State University Fullerton, Fullerton, CA 92831; lBiosystematics Group, Plant Sciences, Wageningen University, Wageningen 6700
    [Show full text]
  • Color-Pattern Evolution in Response to Environmental Stress in Butterflies
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE MINI REVIEW ARTICLE published: 06 February 2012provided by PubMed Central doi: 10.3389/fgene.2012.00015 Color-pattern evolution in response to environmental stress in butterflies Atsuki Hiyama,WataruTaira and Joji M. Otaki* The BCPH Unit of Molecular Physiology, Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, Okinawa, Japan Edited by: It is generally accepted that butterfly wing color-patterns have ecological and behavioral Igor Kovalchuk, University of functions that evolved through natural selection. However, particular wing color-patterns Lethbridge, Canada may be produced physiologically in response to environmental stress, and they may lack Reviewed by: Olga Kovalchuk, University of significant function. These patterns would represent an extreme expression of phenotypic Lethbridge, Canada plasticity and can eventually be fixed genetically in a population. Here, three such cases in Carmel Mothersill, McMaster butterflies are concisely reviewed, and their possible mechanisms of genetic assimilation University, Canada are discussed. First, a certain modified color-pattern of Vanessa indica induced by tem- *Correspondence: perature treatments resembles the natural color-patterns of its closely related species of Joji M. Otaki, Department of Chemistry, Biology and Marine the genus Vanessa (sensu stricto). Second, a different type of color-pattern modification Science, Faculty of Science, can be induced in Vanessa cardui as a result of a general stress response. This modified University of the Ryukyus, 1 Senbaru, pattern is very similar to the natural color-pattern of its sister species Vanessa kershawi. Nishihara, Okinawa 903-0213, Japan.
    [Show full text]
  • The Butterfly Plant Arms-Race Escalated by Gene and Genome Duplications
    The butterfly plant arms-race escalated by gene and genome duplications Patrick P. Edgera,b,c,1, Hanna M. Heidel-Fischerd,1, Michaël Bekaerte, Jadranka Rotaf, Gernot Glöcknerg,h, Adrian E. Plattsi, David G. Heckeld, Joshua P. Derj,k, Eric K. Wafulaj, Michelle Tanga, Johannes A. Hofbergerl, Ann Smithsonm,n, Jocelyn C. Hallo, Matthieu Blanchettei, Thomas E. Bureaup, Stephen I. Wrightq, Claude W. dePamphilisj, M. Eric Schranzl, Michael S. Barkerb, Gavin C. Conantr,s, Niklas Wahlbergf, Heiko Vogeld, J. Chris Piresa,s,2, and Christopher W. Wheatt,2 aDivision of Biological Sciences, University of Missouri, Columbia, MO 65211; bDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721; cDepartment of Plant and Microbial Biology, University of California, Berkeley, CA 94720; dDepartment of Entomology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany; eInstitute of Aquaculture, University of Stirling, Stirling FK9 4LA, Scotland, United Kingdom; fDepartment of Biology, University of Turku, FI-20014 Turku, Finland; gLeibniz Institute for Age Research, Fritz Lipmann Institute, 07745 Jena, Germany; hInstitute for Biochemistry I, University of Cologne, 50931 Koeln, Germany; iMcGill Centre for Bioinformatics, McGill University, Montreal, QC, Canada H3A 0E9; jDepartment of Biology, Pennsylvania State University, University Park, PA 16803; kDepartment of Biological Science, California State University Fullerton, Fullerton, CA 92831; lBiosystematics Group, Plant Sciences, Wageningen University, Wageningen 6700
    [Show full text]
  • <I>EUPHYDRYAS EDITHA</I>
    THE POPULATION BIOLOGY OF THE BUTTERFLY, EUPHYDRYAS EDITHA. VIII. OVIPOSITION AND ITS RELATION TO PATTERNS OF OVIPOSITION IN OTHER BUTTERFLIESl PATRICIA A. LABINE Biomedical Data Processing Training Program, School of Public Health, The University of Michigan, Ann Arbor, Michigan Received December 15, 1967 This paper is one of a continuing series Similar data obtained from the literature investigating the population biology of and from personal communications for three Euphydryas editha (Nymphalidae: Nym­ other butterflies, Cercyonis oetus, Colias phalinae). The life history and general eurytheme, and Heliconius erato, are pre­ biology of this butterfly have been de­ sented in Figures 1b, Ic, and Id, The size scribed in preceding papers that have dealt of each butterfly and the size of its egg are with aspects of its ecology, phenetics, and illustrated in the figures. reproductive biology (Labine, 1964; Ehr­ An estimate of the total number of eggs lich, 1965; Ehrlich and Mason, 1966; expected per female under laboratory con­ Labine, 1966a; Mason, Ehrlich, and Em­ ditions was calculated as the sum of the mel, 1967, 1968; Johnson, Keith, and Ehr­ average number of eggs produced by fe­ lich, 1968). males of age x, weighted by the proportion The present paper is concerned with ovi­ of adult females surviving to age x. This position and its ecological consequences. measure is somewhat analogous to the net "Oviposition" is used here in a broad sense reproductive rate, R o, usually calculated and is meant to include oviposition behav­ from life table data, however, in our case ior, egg number, egg size, rate of oviposi­ only adult mortality is considered, and we tion, etc.
    [Show full text]
  • 2010 Butterfly Inventories in Boulder County Open Space Properties
    2010 Butterfly Inventories In Boulder County Open Space Properties By Janet Chu October 2, 2010 1 Table of Contents I. Acknowledgments …………………… 3 II. Abstract …………………………… 4 II. Introduction……………………………… 5 IV. Objectives ………………………….. 6 V. Research Methods ………………….. 7 VI. Results and Discussion ………………... 8 VII. Weather ………………………………… 12 VIII. Conclusions …………………………….. 13 VIII. Recommendations …………………….. 15 IX. References …………………………. 16 X. Butterfly Survey Data Tables …………. 17 Table I. Survey Dates and Locations ……………. 17 Table II. Southeast Buffer …………………. 18 Table III. Anne U. White – Fourmile Trail …… 21 Table IV. Heil Valley Open Space –Geer Watershed... 24 Table V. Heil Valley Open Space –Plumely Canyon 27 Table VI. Heil Valley Open Space – North ………… 30 Table VII. Walker Ranch - Meyer’s Gulch ………… 34 Table VIII. Caribou Ranch Open Space ……………… 37 Table IX. Compilation of Species and Locations …… 38 2 I. Acknowledgments Our research team has conducted butterfly surveys for nine consecutive years, from 2002 through 2010, with 2002-2004 introductory to the lands and species, and 2005-2010 in more depth. My valuable field team this year was composed of friends with sharp eyes and ready binoculars Larry Crowley who recorded not only the butterflies but blossoming plants and wildlife joined by Jean Morgan and Amy Chu both joined enthusiastic butterfly chasers. Venice Kelley and John Barr, professional photographers, joined us on many surveys. With their digital photos we are often able to classify the hard-to-identify butterflies later on at the desk. The surveys have been within Boulder County Parks and Open Space (BCPOS) lands. Therese Glowacki, Manager-Resource Manager, issued a Special Collection Permit for access into the Open Spaces; Susan Spaulding, Wildlife Specialist, oversaw research, maintained records of our monographs and organized seminars for presentation of data.
    [Show full text]
  • Molecular Phylogeny and Systematics of the Pieridae (Lepidoptera: Papilionoidea): Higher Classification and Biogeography
    Blackwell Publishing LtdOxford, UKZOJZoological Journal of the Linnean Society0024-4082The Lin- nean Society of London, 2006? 2006 147? 239275 Original Article PHYLOGENY AND SYSTEMATICS OF THE PIERIDAEM. F. BRABY ET AL. Zoological Journal of the Linnean Society, 2006, 147, 239–275. With 8 figures Molecular phylogeny and systematics of the Pieridae (Lepidoptera: Papilionoidea): higher classification and Downloaded from https://academic.oup.com/zoolinnean/article-abstract/147/2/239/2631026 by Harvard Library user on 21 November 2018 biogeography MICHAEL F. BRABY1,2*, ROGER VILA1 and NAOMI E. PIERCE1 1Museum of Comparative Zoology, Harvard University, 26 Oxford St, Cambridge, MA 02138, USA 2School of Botany and Zoology, The Australian National University, Canberra, ACT 0200, Australia Received May 2004; accepted for publication October 2005 The systematic relationships of the butterfly family Pieridae are poorly understood. Much of our current under- standing is based primarily on detailed morphological observations made 50–70 years ago. However, the family and its putative four subfamilies and two tribes, have rarely been subjected to rigorous phylogenetic analysis. Here we present results based on an analysis of molecular characters used to reconstruct the phylogeny of the Pieridae in order to infer higher-level classification above the generic level and patterns of historical biogeography. Our sample contained 90 taxa representing 74 genera and six subgenera, or 89% of all genera recognized in the family. Three complementary approaches were
    [Show full text]