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Labbé F, Abdeladhim M, Abrudan J, Araki AS, Araujo RN, Arensburger P, Benoit JB, Brazil RP, Bruno RV, Bueno da Silva Rivas G, Carvalho de Abreu V, Charamis J, Coutinho-Abreu IV, da Costa-Latgé SG, Darby A, Dillon VM, Emrich SJ, Fernandez-Medina D, Figueiredo Gontijo N, Flanley CM, Gatherer D, Genta FA, Gesing S, Giraldo-Calderón GI, Gomes B, Aguiar ERGR, Hamilton JGC, Hamarsheh O, Hawksworth M, Hendershot JM, Hickner PV, Imler JL, Ioannidis P, Jennings EC, Kamhawi S, Karageorgiou C, Kennedy RC, Krueger A, Latorre-Estivalis JM, Ligoxygakis P, Meireles-Filho ACA, Minx P, Miranda JC, Montague MJ, Nowling RJ, Oliveira F, Ortigão-Farias J, Pavan MG, Horacio Pereira M, Nobrega Pitaluga A, Proveti Olmo R, Ramalho-Ortigao M, Ribeiro JMC, Rosendale AJ, Sant’Anna MRV, Scherer SE, Secundino NFC, Shoue DA, da Silva Moraes C, Gesto JSM, Souza NA, Syed Z, Tadros S, Teles-de-Freitas R, Telleria EL, Tomlinson C, Traub-Csekö YM, Marques JT, Tu Z, Unger MF, Valenzuela J, Ferreira FV, de Oliveira KPV, Vigoder FM, Vontas J, Wang L, Weedall GD, Zhioua E, Richards S, Warren WC, Waterhouse RM, Dillon RJ, McDowell MA. Genomic analysis of two phlebotomine sand fly vectors of Leishmania from the New and Old World. PLoS Negl Trop Dis 2023; 17:e0010862. [PMID: 37043542 PMCID: PMC10138862 DOI: 10.1371/journal.pntd.0010862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 04/27/2023] [Accepted: 02/13/2023] [Indexed: 04/13/2023] Open
Abstract
Phlebotomine sand flies are of global significance as important vectors of human disease, transmitting bacterial, viral, and protozoan pathogens, including the kinetoplastid parasites of the genus Leishmania, the causative agents of devastating diseases collectively termed leishmaniasis. More than 40 pathogenic Leishmania species are transmitted to humans by approximately 35 sand fly species in 98 countries with hundreds of millions of people at risk around the world. No approved efficacious vaccine exists for leishmaniasis and available therapeutic drugs are either toxic and/or expensive, or the parasites are becoming resistant to the more recently developed drugs. Therefore, sand fly and/or reservoir control are currently the most effective strategies to break transmission. To better understand the biology of sand flies, including the mechanisms involved in their vectorial capacity, insecticide resistance, and population structures we sequenced the genomes of two geographically widespread and important sand fly vector species: Phlebotomus papatasi, a vector of Leishmania parasites that cause cutaneous leishmaniasis, (distributed in Europe, the Middle East and North Africa) and Lutzomyia longipalpis, a vector of Leishmania parasites that cause visceral leishmaniasis (distributed across Central and South America). We categorized and curated genes involved in processes important to their roles as disease vectors, including chemosensation, blood feeding, circadian rhythm, immunity, and detoxification, as well as mobile genetic elements. We also defined gene orthology and observed micro-synteny among the genomes. Finally, we present the genetic diversity and population structure of these species in their respective geographical areas. These genomes will be a foundation on which to base future efforts to prevent vector-borne transmission of Leishmania parasites.
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Affiliation(s)
- Frédéric Labbé
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | - Maha Abdeladhim
- Vector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | - Jenica Abrudan
- Genomic Sciences & Precision Medicine Center (GSPMC), Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Alejandra Saori Araki
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
| | - Ricardo N. Araujo
- Laboratório de Fisiologia de Insetos Hematófagos, Universidade Federal de Minas Gerais, Instituto de Ciencias Biológicas, Departamento de Parasitologia, Pampulha, Belo Horizonte, Brazil
| | - Peter Arensburger
- Department of Biological Sciences, California State Polytechnic University, Pomona, California, United States of America
| | - Joshua B. Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | | | - Rafaela V. Bruno
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
| | - Gustavo Bueno da Silva Rivas
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
- Department of Biology and Center for Biological Clocks Research, Texas A&M University, College Station, Texas, United States of America
| | - Vinicius Carvalho de Abreu
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Jason Charamis
- Department of Biology, University of Crete, Voutes University Campus, Heraklion, Greece
- Molecular Entomology Lab, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece
| | - Iliano V. Coutinho-Abreu
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, California, United States of America
| | | | - Alistair Darby
- Institute of Integrative Biology, The University of Liverpool, Liverpool, United Kingdom
| | - Viv M. Dillon
- Institute of Integrative Biology, The University of Liverpool, Liverpool, United Kingdom
| | - Scott J. Emrich
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee, United States of America
| | | | - Nelder Figueiredo Gontijo
- Laboratório de Fisiologia de Insetos Hematófagos, Universidade Federal de Minas Gerais, Instituto de Ciencias Biológicas, Departamento de Parasitologia, Pampulha, Belo Horizonte, Brazil
| | - Catherine M. Flanley
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | - Derek Gatherer
- Division of Biomedical & Life Sciences, Faculty of Health & Medicine, Lancaster University, Lancaster, United Kingdom
| | - Fernando A. Genta
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
| | - Sandra Gesing
- Discovery Partners Institute, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Gloria I. Giraldo-Calderón
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
- Dept. Ciencias Biológicas & Dept. Ciencias Básicas Médicas, Universidad Icesi, Cali, Colombia
| | - Bruno Gomes
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
| | | | - James G. C. Hamilton
- Division of Biomedical & Life Sciences, Faculty of Health & Medicine, Lancaster University, Lancaster, United Kingdom
| | - Omar Hamarsheh
- Department of Life Sciences, Faculty of Science and Technology, Al-Quds University, Jerusalem, Palestine
| | - Mallory Hawksworth
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | - Jacob M. Hendershot
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Paul V. Hickner
- USDA-ARS Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Kerrville, Texas, United States of America
| | - Jean-Luc Imler
- CNRS-UPR9022 Institut de Biologie Moléculaire et Cellulaire and Faculté des Sciences de la Vie-Université de Strasbourg, Strasbourg, France
| | - Panagiotis Ioannidis
- Molecular Entomology Lab, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece
| | - Emily C. Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Shaden Kamhawi
- Vector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | - Charikleia Karageorgiou
- Molecular Entomology Lab, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece
- Genomics Group – Bioinformatics and Evolutionary Biology Lab, Department of Genetics and Microbiology, Autonomous University of Barcelona, Barcelona, Spain
| | - Ryan C. Kennedy
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | - Andreas Krueger
- Medical Entomology Branch, Dept. Microbiology, Bundeswehr Hospital, Hamburg, Germany
- Medical Zoology Branch, Dept. Microbiology, Central Bundeswehr Hospital, Koblenz, Germany
| | - José M. Latorre-Estivalis
- Laboratorio de Insectos Sociales, Instituto de Fisiología, Biología Molecular y Neurociencias, Universidad de Buenos Aires - CONICET, Buenos Aires, Argentina
| | - Petros Ligoxygakis
- Laboratory of Cell Biology, Development and Genetics, Department of Biochemistry, University of Oxford, Oxford, United Kingdom
| | | | - Patrick Minx
- Donald Danforth Plant Science Center, Olivette, Missouri, United States of America
| | - Jose Carlos Miranda
- Laboratório de Imunoparasitologia, CPqGM, Fundação Oswaldo Cruz, Bahia, Brazil
| | - Michael J. Montague
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Ronald J. Nowling
- Department of Electrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, Wisconsin, United States of America
| | - Fabiano Oliveira
- Vector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | | | - Marcio G. Pavan
- Laboratório de Bioquímica e Fisiologia de Insetos, IOC, FIOCRUZ, Rio de Janeiro, Brazil
- Laboratório de Transmissores de Hematozoários, IOC, FIOCRUZ, Rio de Janeiro, Brazil
| | - Marcos Horacio Pereira
- Laboratório de Fisiologia de Insetos Hematófagos, Universidade Federal de Minas Gerais, Instituto de Ciencias Biológicas, Departamento de Parasitologia, Pampulha, Belo Horizonte, Brazil
| | - Andre Nobrega Pitaluga
- Laboratório de Biologia Molecular de Parasitas e Vetores, Instituto Oswaldo Cruz/FIOCRUZ, Rio de Janeiro, Brazil
| | - Roenick Proveti Olmo
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marcelo Ramalho-Ortigao
- F. Edward Hebert School of Medicine, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences (USUHS), Bethesda, Maryland, United States of America
| | - José M. C. Ribeiro
- Vector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | - Andrew J. Rosendale
- Department of Biology and Center for Biological Clocks Research, Texas A&M University, College Station, Texas, United States of America
| | - Mauricio R. V. Sant’Anna
- Laboratório de Fisiologia de Insetos Hematófagos, Universidade Federal de Minas Gerais, Instituto de Ciencias Biológicas, Departamento de Parasitologia, Pampulha, Belo Horizonte, Brazil
| | - Steven E. Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | | | - Douglas A. Shoue
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | | | | | - Nataly Araujo Souza
- Laboratory Interdisciplinar em Vigilancia Entomologia em Diptera e Hemiptera, Fiocruz, Rio de Janeiro, Brazil
| | - Zainulabueddin Syed
- Department of Entomology, University of Kentucky, Lexington, Kentucky, United States of America
| | - Samuel Tadros
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
| | | | - Erich L. Telleria
- Department of Electrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, Wisconsin, United States of America
- Department of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | | | - João Trindade Marques
- Department of Biology and Center for Biological Clocks Research, Texas A&M University, College Station, Texas, United States of America
| | - Zhijian Tu
- Fralin Life Science Institute and Department of Biochemistry, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Maria F. Unger
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Jesus Valenzuela
- Vector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | - Flávia V. Ferreira
- Department of Microbiology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Karla P. V. de Oliveira
- Department of Biochemistry and Immunology, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Felipe M. Vigoder
- Universidade Federal do Rio de Janeiro, Instituto de Biologia. Rio de Janeiro, Brazil
| | - John Vontas
- Molecular Entomology Lab, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece
- Pesticide Science Lab, Department of Crop Science, Agricultural University of Athens, Athens Greece
| | - Lihui Wang
- Donald Danforth Plant Science Center, Olivette, Missouri, United States of America
| | - Gareth D. Weedall
- Vector Biology Department, Liverpool School of Tropical Medicine (LSTM), Liverpool, United Kingdom
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Elyes Zhioua
- Vector Ecology Unit, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Stephen Richards
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Wesley C. Warren
- Department of Animal Sciences, Department of Surgery, Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, United States of America
| | - Robert M. Waterhouse
- Department of Ecology & Evolution and Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Rod J. Dillon
- Division of Biomedical & Life Sciences, Faculty of Health & Medicine, Lancaster University, Lancaster, United Kingdom
| | - Mary Ann McDowell
- Eck Institute for Global Health, Department of Biological Sciences, University of Notre dame, Notre Dame, Indiana, United States of America
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Wang Y, Cao J, Guo X, Guo C, Li W, Murányi D. Comparative analysis of mitochondrial genomes among the family Peltoperlidae (Plecoptera: Systellognatha) and phylogenetic implications. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.979847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Nowadays, the position of Peltoperlidae in Systellognatha has been resolved based on morphological analyses. However, there are different opinions based on molecular data. To date, only three peltoperlid mitogenomes are available, and more sampling is needed to obtain precise phylogenetic relationships. In this study, we obtained the complete mitogenomes of Cryptoperla kawasawai (15,832 bp) and Peltoperlopsis sagittata (15,756 bp). Our results show that gene content, gene order, DmTTF binding site, nucleotide composition, codon usage, ribonucleic acid (RNA) structure, and structural elements in the control region are highly conserved in peltoperlids. Heatmap analysis of codon usage shows that the AT-rich codons UUA, AUU, UUU, and AUA were commonly used codons in the Peltoperlidae. Evolutionary rate analyses of protein-coding genes reveal that different genes have been subject to different rates of molecular evolution correlated with the GC content. All tRNA genes in peltoperlid mitogenomes have a canonical cloverleaf secondary structure except for trnS1, whose dihydrouridine arm simply forms a loop. The control region of the family has several distinct structural characteristics and has the potential to serve as effective phylogenetic markers. Phylogenetic analyses support the monophyly of Perloidea, but the monophyly of Pteronarcyoidea is still not supported. The Peltoperlidae is placed as the earliest branch within the Systellognatha, and the estimated phylogenetic relationship is: Peltoperlidae + {(Styloperlidae + Pteronarcyidae) + [Perlidae + (Chloroperlidae + Perlodidae)]}. Our results provide new insight into the phylogeny of this group.
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Tihelka E, Cai C, Giacomelli M, Lozano-Fernandez J, Rota-Stabelli O, Huang D, Engel MS, Donoghue PCJ, Pisani D. The evolution of insect biodiversity. Curr Biol 2021; 31:R1299-R1311. [PMID: 34637741 DOI: 10.1016/j.cub.2021.08.057] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Insects comprise over half of all described animal species. Together with the Protura (coneheads), Collembola (springtails) and Diplura (two-pronged bristletails), insects form the Hexapoda, a terrestrial arthropod lineage characterised by possessing six legs. Exponential growth of genome-scale data for the hexapods has substantially altered our understanding of the origin and evolution of insect biodiversity. Phylogenomics has provided a new framework for reconstructing insect evolutionary history, resolving their position among the arthropods and some long-standing internal controversies such as the placement of the termites, twisted-winged insects, lice and fleas. However, despite the greatly increased size of phylogenomic datasets, contentious relationships among key insect clades remain unresolved. Further advances in insect phylogeny cannot rely on increased depth and breadth of genome and taxon sequencing. Improved modelling of the substitution process is fundamental to countering tree-reconstruction artefacts, while gene content, modelling of duplications and deletions, and comparative morphology all provide complementary lines of evidence to test hypotheses emerging from the analysis of sequence data. Finally, the integration of molecular and morphological data is key to the incorporation of fossil species within insect phylogeny. The emerging integrated framework of insect evolution will help explain the origins of insect megadiversity in terms of the evolution of their body plan, species diversity and ecology. Future studies of insect phylogeny should build upon an experimental, hypothesis-driven approach where the robustness of hypotheses generated is tested against increasingly realistic evolutionary models as well as complementary sources of phylogenetic evidence.
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Affiliation(s)
- Erik Tihelka
- School of Earth Sciences, University of Bristol, Bristol, UK; State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, and Centre for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Nanjing, China.
| | - Chenyang Cai
- School of Earth Sciences, University of Bristol, Bristol, UK; State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, and Centre for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Nanjing, China.
| | | | - Jesus Lozano-Fernandez
- School of Biological Sciences, University of Bristol, Bristol, UK; Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain
| | - Omar Rota-Stabelli
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all Adige, Italy; Center Agriculture Food Environment, University of Trento, 38010 San Michele all Adige, Italy
| | - Diying Huang
- State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, and Centre for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Nanjing, China
| | - Michael S Engel
- Division of Entomology, Natural History Museum, University of Kansas, Lawrence, KS, USA; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
| | | | - Davide Pisani
- School of Earth Sciences, University of Bristol, Bristol, UK; School of Biological Sciences, University of Bristol, Bristol, UK.
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Yu DN, Yu PP, Zhang LP, Storey KB, Gao XY, Zhang JY. Increasing 28 mitogenomes of Ephemeroptera, Odonata and Plecoptera support the Chiastomyaria hypothesis with three different outgroup combinations. PeerJ 2021; 9:e11402. [PMID: 34221707 PMCID: PMC8231340 DOI: 10.7717/peerj.11402] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 04/13/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND The phylogenetic relationships of Odonata (dragonflies and damselflies) and Ephemeroptera (mayflies) remain unresolved. Different researchers have supported one of three hypotheses (Palaeoptera, Chiastomyaria or Metapterygota) based on data from different morphological characters and molecular markers, sometimes even re-assessing the same transcriptomes or mitochondrial genomes. The appropriate choice of outgroups and more taxon sampling is thought to eliminate artificial phylogenetic relationships and obtain an accurate phylogeny. Hence, in the current study, we sequenced 28 mt genomes from Ephemeroptera, Odonata and Plecoptera to further investigate phylogenetic relationships, the probability of each of the three hypotheses, and to examine mt gene arrangements in these species. We selected three different combinations of outgroups to analyze how outgroup choice affected the phylogenetic relationships of Odonata and Ephemeroptera. METHODS Mitochondrial genomes from 28 species of mayflies, dragonflies, damselflies and stoneflies were sequenced. We used Bayesian inference (BI) and Maximum likelihood (ML) analyses for each dataset to reconstruct an accurate phylogeny of these winged insect orders. The effect of outgroup choice was assessed by separate analyses using three outgroups combinations: (a) four bristletails and three silverfish as outgroups, (b) five bristletails and three silverfish as outgroups, or (c) five diplurans as outgroups. RESULTS Among these sequenced mitogenomes we found the gene arrangement IMQM in Heptageniidae (Ephemeroptera), and an inverted and translocated tRNA-Ile between the 12S RNA gene and the control region in Ephemerellidae (Ephemeroptera). The IMQM gene arrangement in Heptageniidae (Ephemeroptera) can be explained via the tandem-duplication and random loss model, and the transposition and inversion of tRNA-Ile genes in Ephemerellidae can be explained through the recombination and tandem duplication-random loss (TDRL) model. Our phylogenetic analysis strongly supported the Chiastomyaria hypothesis in three different outgroup combinations in BI analyses. The results also show that suitable outgroups are very important to determining phylogenetic relationships in the rapid evolution of insects especially among Ephemeroptera and Odonata. The mt genome is a suitable marker to investigate the phylogeny of inter-order and inter-family relationships of insects but outgroup choice is very important for deriving these relationships among winged insects. Hence, we must carefully choose the correct outgroup in order to discuss the relationships of Ephemeroptera and Odonata.
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Affiliation(s)
- Dan-Na Yu
- Key Lab of Wildlife Biotechnology, Conservation and Utilization of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Pan-Pan Yu
- The Department of Biology, College of Chemistry and Life Science, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Le-Ping Zhang
- The Department of Biology, College of Chemistry and Life Science, Zhejiang Normal University, Jinhua, Zhejiang, China
| | | | - Xin-Yan Gao
- The Department of Biology, College of Chemistry and Life Science, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Jia-Yong Zhang
- Key Lab of Wildlife Biotechnology, Conservation and Utilization of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, China
- The Department of Biology, College of Chemistry and Life Science, Zhejiang Normal University, Jinhua, Zhejiang, China
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Larson DA, Walker JF, Vargas OM, Smith SA. A consensus phylogenomic approach highlights paleopolyploid and rapid radiation in the history of Ericales. AMERICAN JOURNAL OF BOTANY 2020; 107:773-789. [PMID: 32350864 DOI: 10.1002/ajb2.1469] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 02/12/2020] [Indexed: 05/27/2023]
Abstract
PREMISE Large genomic data sets offer the promise of resolving historically recalcitrant species relationships. However, different methodologies can yield conflicting results, especially when clades have experienced ancient, rapid diversification. Here, we analyzed the ancient radiation of Ericales and explored sources of uncertainty related to species tree inference, conflicting gene tree signal, and the inferred placement of gene and genome duplications. METHODS We used a hierarchical clustering approach, with tree-based homology and orthology detection, to generate six filtered phylogenomic matrices consisting of data from 97 transcriptomes and genomes. Support for species relationships was inferred from multiple lines of evidence including shared gene duplications, gene tree conflict, gene-wise edge-based analyses, concatenation, and coalescent-based methods, and is summarized in a consensus framework. RESULTS Our consensus approach supported a topology largely concordant with previous studies, but suggests that the data are not capable of resolving several ancient relationships because of lack of informative characters, sensitivity to methodology, and extensive gene tree conflict correlated with paleopolyploidy. We found evidence of a whole-genome duplication before the radiation of all or most ericalean families, and demonstrate that tree topology and heterogeneous evolutionary rates affect the inferred placement of genome duplications. CONCLUSIONS We provide several hypotheses regarding the history of Ericales, and confidently resolve most nodes, but demonstrate that a series of ancient divergences are unresolvable with these data. Whether paleopolyploidy is a major source of the observed phylogenetic conflict warrants further investigation.
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Affiliation(s)
- Drew A Larson
- Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Joseph F Walker
- Sainsbury Laboratory (SLCU), University of Cambridge, Cambridge, CB2 1LR, UK
| | - Oscar M Vargas
- Department of Ecology & Evolutionary Biology, University of California, Santa Cruz, CA, 95060, USA
| | - Stephen A Smith
- Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
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Shen Y, Du YZ. The complete mitochondrial genome of Flavoperla biocellata Chu, 1929 (Plecoptera: Perlidae) and the phylogenetic analyses of Plecoptera. PeerJ 2020; 8:e8762. [PMID: 32211236 PMCID: PMC7081787 DOI: 10.7717/peerj.8762] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 02/17/2020] [Indexed: 12/03/2022] Open
Abstract
Of the roughly 400 species of Perlidae in the world, most species are widely distributed in the northern hemisphere, but a few can be found in South Africa and South America. There are only five species in the genus Flavoperla of the family Perlidae in China. To gain a better understanding of the architecture and evolution of mitochondrial genome in Flavoperla, the entire mitochondrial genome (mitogenome) of a Chinese Flavoperla biocellata Chu, 1929 from family Perlidae (Insecta: Plecoptera) was sequenced. The 15,805-bp long mitochondrial genome of F. biocellata contained 37 genes, including 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs) and a putative control region (CR). The gene arrangement of F. biocellata was identical with that of other stoneflies and with the fly Drosophila yakuba. Most PCGs of F. biocellata used the standard ATN start codons and complete TAN termination codons. Twenty-one of the 22 tRNA genes exhibited cloverleaf secondary structures, but the dihydrouridine (DHU) arm of trnSer (AGN) was completely reduced. Phylogenetic analyses with both Bayesian inference (BI) and maximum likelihood methods (ML) generated similar topology, both supporting the monophyly of all stonefly families and the infraorder Systellognatha. The phylogenetic analysis based on mitochondrial genomic data from 30 stonefly species recovered a well-supported tree resolving higher-level relationships within Plecoptera. The northern hemisphere suborder Arctoperlaria divided into two groups, Euholognatha and Systellognatha. The southern hemisphere suborder Antarctoperlaria formed two clades: Eustheniidae+Diamphipnoidae and Austroperlidae+ Gripopterygidae; consistent with relationships proposed based on morphology. The final relationships within Plecoptera were recovered as (((Perlidae+(Perlodidae+Chloroperlidae))+(Pteronarcyidae+(Peltoperlidae+Styloperlidae))) +(Taeniopterygidae+(Capniidae+(Nemouridae+Notonemouridae))))+ (Gripopterygoidae+Eusthenioidae).
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Affiliation(s)
- Yue Shen
- School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yu-Zhou Du
- School of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education, Yangzhou University, Yangzhou, China
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Fan XB, Pang R, Li WX, Ojha A, Li D, Zhang WQ. An Overview of Embryogenesis: External Morphology and Transcriptome Profiling in the Hemipteran Insect Nilaparvata lugens. Front Physiol 2020; 11:106. [PMID: 32132932 PMCID: PMC7040246 DOI: 10.3389/fphys.2020.00106] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 01/28/2020] [Indexed: 11/13/2022] Open
Abstract
During embryogenesis of insects, the morphological and transcriptional changes are important signatures to obtain a better understanding of insect patterning and evolution. The brown planthopper Nilaparvata lugens is a serious insect pest of rice plants, but its embryogenesis has not uncovered. Here, we described embryonic development process of the pest and found it belongs to an intermediate-germ mode. The RNA-seq data from different times (6, 30, 96, and 150 h, after egg laying) of embryogenesis were then analyzed, and a total of 10,895 genes were determined as differentially expressed genes (DEGs) based on pairwise comparisons. Afterward, 1,898 genes, differentially expressed in at least two comparisons of adjacent embryonic stages were divided into 10 clusters using K means cluster analysis (KMCA). Eight-gene modules were established using a weighted gene co-expression network analysis (WGCNA). Gene expression patterns in the different embryonic stages were identified by combining the functional enrichments of the stage-specific clusters and modules, which displayed the expression level and reprogramming of multiple developmental genes during embryogenesis. The "hub" genes at each embryonic stage with possible crucial roles were identified. Notably, we found a "center" set of genes that were related to overall membrane functions and might play important roles in the embryogenesis process. After parental RNAi of the MSTRG.3372, the hub gene, the embryo was observed as abnormal. Furthermore, some homologous genes in classic embryonic development processes and signaling pathways were also involved in embryogenesis of this insect. An improved comprehensive finding of embryogenesis within the N. lugens reveals better information on genetic and genomic studies of embryonic development and might be a potential target for RNAi-based control of this insect pest.
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Affiliation(s)
- Xiao-Bin Fan
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Rui Pang
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China.,State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangzhou, China
| | - Wan-Xue Li
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Abhishek Ojha
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Dan Li
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Wen-Qing Zhang
- State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China
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8
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Prasanna AN, Gerber D, Kijpornyongpan T, Aime MC, Doyle VP, Nagy LG. Model Choice, Missing Data, and Taxon Sampling Impact Phylogenomic Inference of Deep Basidiomycota Relationships. Syst Biol 2020; 69:17-37. [PMID: 31062852 DOI: 10.1093/sysbio/syz029] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 04/21/2019] [Accepted: 04/26/2019] [Indexed: 11/12/2022] Open
Abstract
Resolving deep divergences in the tree of life is challenging even for analyses of genome-scale phylogenetic data sets. Relationships between Basidiomycota subphyla, the rusts and allies (Pucciniomycotina), smuts and allies (Ustilaginomycotina), and mushroom-forming fungi and allies (Agaricomycotina) were found particularly recalcitrant both to traditional multigene and genome-scale phylogenetics. Here, we address basal Basidiomycota relationships using concatenated and gene tree-based analyses of various phylogenomic data sets to examine the contribution of several potential sources of bias. We evaluate the contribution of biological causes (hard polytomy, incomplete lineage sorting) versus unmodeled evolutionary processes and factors that exacerbate their effects (e.g., fast-evolving sites and long-branch taxa) to inferences of basal Basidiomycota relationships. Bayesian Markov Chain Monte Carlo and likelihood mapping analyses reject the hard polytomy with confidence. In concatenated analyses, fast-evolving sites and oversimplified models of amino acid substitution favored the grouping of smuts with mushroom-forming fungi, often leading to maximal bootstrap support in both concatenation and coalescent analyses. On the contrary, the most conserved data subsets grouped rusts and allies with mushroom-forming fungi, although this relationship proved labile, sensitive to model choice, to different data subsets and to missing data. Excluding putative long-branch taxa, genes with high proportions of missing data and/or with strong signal failed to reveal a consistent trend toward one or the other topology, suggesting that additional sources of conflict are at play. While concatenated analyses yielded strong but conflicting support, individual gene trees mostly provided poor support for any resolution of rusts, smuts, and mushroom-forming fungi, suggesting that the true Basidiomycota tree might be in a part of tree space that is difficult to access using both concatenation and gene tree-based approaches. Inference-based assessments of absolute model fit strongly reject best-fit models for the vast majority of genes, indicating a poor fit of even the most commonly used models. While this is consistent with previous assessments of site-homogenous models of amino acid evolution, this does not appear to be the sole source of confounding signal. Our analyses suggest that topologies uniting smuts with mushroom-forming fungi can arise as a result of inappropriate modeling of amino acid sites that might be prone to systematic bias. We speculate that improved models of sequence evolution could shed more light on basal splits in the Basidiomycota, which, for now, remain unresolved despite the use of whole genome data.
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Affiliation(s)
- Arun N Prasanna
- Synthetic and Systems Biology Unit, Institute of Biochemistry, BRC-HAS, Szeged 6726, Hungary
| | - Daniel Gerber
- Synthetic and Systems Biology Unit, Institute of Biochemistry, BRC-HAS, Szeged 6726, Hungary.,Institute of Archaeology, Research Centre for the Humanities, Hungarian Academy of Sciences, Budapest 1097, Hungary
| | | | - M Catherine Aime
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA
| | - Vinson P Doyle
- Department of Plant Pathology and Crop Physiology, Louisiana State University AgCenter, Baton Rouge, LA 70803, USA
| | - Laszlo G Nagy
- Synthetic and Systems Biology Unit, Institute of Biochemistry, BRC-HAS, Szeged 6726, Hungary
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9
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Jones KE, Fér T, Schmickl RE, Dikow RB, Funk VA, Herrando‐Moraira S, Johnston PR, Kilian N, Siniscalchi CM, Susanna A, Slovák M, Thapa R, Watson LE, Mandel JR. An empirical assessment of a single family-wide hybrid capture locus set at multiple evolutionary timescales in Asteraceae. APPLICATIONS IN PLANT SCIENCES 2019; 7:e11295. [PMID: 31667023 PMCID: PMC6814182 DOI: 10.1002/aps3.11295] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 09/05/2019] [Indexed: 05/23/2023]
Abstract
PREMISE Hybrid capture with high-throughput sequencing (Hyb-Seq) is a powerful tool for evolutionary studies. The applicability of an Asteraceae family-specific Hyb-Seq probe set and the outcomes of different phylogenetic analyses are investigated here. METHODS Hyb-Seq data from 112 Asteraceae samples were organized into groups at different taxonomic levels (tribe, genus, and species). For each group, data sets of non-paralogous loci were built and proportions of parsimony informative characters estimated. The impacts of analyzing alternative data sets, removing long branches, and type of analysis on tree resolution and inferred topologies were investigated in tribe Cichorieae. RESULTS Alignments of the Asteraceae family-wide Hyb-Seq locus set were parsimony informative at all taxonomic levels. Levels of resolution and topologies inferred at shallower nodes differed depending on the locus data set and the type of analysis, and were affected by the presence of long branches. DISCUSSION The approach used to build a Hyb-Seq locus data set influenced resolution and topologies inferred in phylogenetic analyses. Removal of long branches improved the reliability of topological inferences in maximum likelihood analyses. The Astereaceae Hyb-Seq probe set is applicable at multiple taxonomic depths, which demonstrates that probe sets do not necessarily need to be lineage-specific.
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Affiliation(s)
- Katy E. Jones
- Botanischer Garten und Botanisches Museum BerlinFreie Universität BerlinKönigin‐Luise‐Str. 6–814195BerlinGermany
| | - Tomáš Fér
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
| | - Roswitha E. Schmickl
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
- Institute of BotanyThe Czech Academy of SciencesZámek 1CZ 25243PrůhoniceCzech Republic
| | - Rebecca B. Dikow
- Data Science LabOffice of the Chief Information OfficerSmithsonian InstitutionWashingtonD.C.20013‐7012USA
| | - Vicki A. Funk
- Department of BotanyNational Museum of Natural HistorySmithsonian InstitutionWashingtonD.C.20013‐7012USA
| | | | - Paul R. Johnston
- Freie Universität BerlinEvolutionary BiologyBerlinGermany
- Berlin Center for Genomics in Biodiversity ResearchBerlinGermany
- Leibniz‐Institute of Freshwater Ecology and Inland Fisheries (IGB)BerlinGermany
| | - Norbert Kilian
- Botanischer Garten und Botanisches Museum BerlinFreie Universität BerlinKönigin‐Luise‐Str. 6–814195BerlinGermany
| | - Carolina M. Siniscalchi
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
| | - Alfonso Susanna
- Botanic Institute of Barcelona (IBB‐CSIC‐ICUB)Pg. del Migdia s.n.ES 08038BarcelonaSpain
| | - Marek Slovák
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
- Plant Science and Biodiversity CentreSlovak Academy of SciencesSK‐84523BratislavaSlovakia
| | - Ramhari Thapa
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
| | - Linda E. Watson
- Department of Plant Biology, Ecology, and EvolutionOklahoma State UniversityStillwaterOklahoma74078USA
| | - Jennifer R. Mandel
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
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10
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Ding S, Li W, Wang Y, Cameron SL, Murányi D, Yang D. The phylogeny and evolutionary timescale of stoneflies (Insecta: Plecoptera) inferred from mitochondrial genomes. Mol Phylogenet Evol 2019; 135:123-135. [PMID: 30876966 DOI: 10.1016/j.ympev.2019.03.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 03/09/2019] [Accepted: 03/11/2019] [Indexed: 10/27/2022]
Abstract
Phylogenetic analysis based on mitochondrial genomic data from 25 stonefly species recovered a well-supported tree resolving higher-level relationships within Plecoptera (stoneflies). The monophyly of both currently recognized suborders was strongly supported, concordant with previous molecular analyses of Plecoptera. The southern hemisphere suborder Antarctoperlaria formed two clades: Eustheniidae + Diamphipnoidae and Austroperlidae + Gripopterygidae; consistent with relationships proposed based on morphology. The largely northern hemisphere suborder Arctoperlaria also divided into two groups, Euholognatha and Systellognatha, each composed of the five families traditionally assigned to each infraorder (the placement Scopuridae by mt genome data remains untested at this time). Within Euholognatha, strong support for the clade Nemouridae + Notonemouridae confirmed the northern origin of the currently southern hemisphere restricted Notonemouridae. Other family level relationships within the Arctoperlaria differ from those recovered by previous morphology and molecular based analyses. A fossil-calibrated divergence estimation suggests the formation of two suborders dates back to the Jurassic (181 Ma), with subsequent diversification of most stonefly families during the Cretaceous. This result confirms the hypothesis that initial divergence between the suborders was driven by the breakup of the supercontinent Pangaea into Laurasia and Gondwanaland (commencing 200 Ma and complete by 150 Ma).
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Affiliation(s)
- Shuangmei Ding
- Department of Entomology, China Agricultural University, Beijing, China; Department of Entomology, Purdue University, West Lafayette, IN, USA
| | - Weihai Li
- Department of Plant Protection, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Ying Wang
- Department of Plant Protection, Henan Institute of Science and Technology, Xinxiang, Henan, China
| | - Stephen L Cameron
- Department of Entomology, Purdue University, West Lafayette, IN, USA
| | - Dávid Murányi
- Plant Protection Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest H-1022, Hungary; Department of Zoology, Hungarian Natural History Museum, Baross u. 13, Budapest H-1088, Hungary
| | - Ding Yang
- Department of Entomology, China Agricultural University, Beijing, China.
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11
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Sharma PP. Integrating morphology and phylogenomics supports a terrestrial origin of insect flight. Proc Natl Acad Sci U S A 2019; 116:2796-2798. [PMID: 30696764 PMCID: PMC6386717 DOI: 10.1073/pnas.1822087116] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Prashant P Sharma
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706
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12
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Simon S, Blanke A, Meusemann K. Reanalyzing the Palaeoptera problem - The origin of insect flight remains obscure. ARTHROPOD STRUCTURE & DEVELOPMENT 2018; 47:328-338. [PMID: 29763650 DOI: 10.1016/j.asd.2018.05.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 05/08/2018] [Accepted: 05/09/2018] [Indexed: 06/08/2023]
Abstract
The phylogenetic relationships of the winged insect lineages - mayflies (Ephemeroptera), damselflies and dragonflies (Odonata), and all other winged insects (Neoptera) - are still controversial with three hypotheses supported by different datasets: Palaeoptera, Metapterygota and Chiastomyaria. Here, we reanalyze available phylogenomic data with a focus on detecting confounding and alternative signal. In this context, we provide a framework to quantitatively evaluate and assess incongruent molecular phylogenetic signal inherent in phylogenomic datasets. Despite overall support for the Palaeoptera hypothesis, we also found considerable signal for Chiastomyaria, which is not easily detectable by standardized tree inference approaches. Analyses of the accumulation of signal across gene partitions showed that signal accumulates gradually. However, even in case signal only slightly supported one over the other hypothesis, topologies inferred from large datasets switch from statistically strongly supported Palaeoptera to strongly supported Chiastomyaria. From a morphological point of view, Palaeoptera currently appears to be the best-supported hypothesis; however, recent analyses were restricted to head characters. Phylogenetic approaches covering all organ systems including analyses of potential functional or developmental convergence are still pending so that the Palaeoptera problem has to be considered an open question in insect systematics.
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Affiliation(s)
- Sabrina Simon
- Biosystematics Group, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands.
| | - Alexander Blanke
- Institute of Zoology, Biocenter Cologne, University of Cologne, Zülpicher Straße 47b, 50674 Cologne, Germany; Medical and Biological Engineering Research Group, School of Engineering and Computer Science, University of Hull, Cottingham Road, HU6 7RX, Hull, UK
| | - Karen Meusemann
- Evolutionary Biology & Ecology, Institute for Biology, University of Freiburg, Hauptstr. 1, D-79104 Freiburg (Brsg.), Germany; Center of Molecular Biodiversity Research (ZMB), Zoological Research Museum A. Koenig (ZFMK), Adenauerallee 160, D-53113 Bonn, Germany.
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13
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Breinholt JW, Earl C, Lemmon AR, Lemmon EM, Xiao L, Kawahara AY. Resolving Relationships among the Megadiverse Butterflies and Moths with a Novel Pipeline for Anchored Phylogenomics. Syst Biol 2018; 67:78-93. [PMID: 28472519 DOI: 10.1093/sysbio/syx048] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 04/28/2017] [Indexed: 11/12/2022] Open
Abstract
The advent of next-generation sequencing technology has allowed for thecollection of large portions of the genome for phylogenetic analysis. Hybrid enrichment and transcriptomics are two techniques that leverage next-generation sequencing and have shown much promise. However, methods for processing hybrid enrichment data are still limited. We developed a pipeline for anchored hybrid enrichment (AHE) read assembly, orthology determination, contamination screening, and data processing for sequences flanking the target "probe" region. We apply this approach to study the phylogeny of butterflies and moths (Lepidoptera), a megadiverse group of more than 157,000 described species with poorly understood deep-level phylogenetic relationships. We introduce a new, 855 locus AHE kit for Lepidoptera phylogenetics and compare resulting trees to those from transcriptomes. The enrichment kit was designed from existing genomes, transcriptomes, and expressed sequence tags and was used to capture sequence data from 54 species from 23 lepidopteran families. Phylogenies estimated from AHE data were largely congruent with trees generated from transcriptomes, with strong support for relationships at all but the deepest taxonomic levels. We combine AHE and transcriptomic data to generate a new Lepidoptera phylogeny, representing 76 exemplar species in 42 families. The tree provides robust support for many relationships, including those among the seven butterfly families. The addition of AHE data to an existing transcriptomic dataset lowers node support along the Lepidoptera backbone, but firmly places taxa with AHE data on the phylogeny. Combining taxa sequenced for AHE with existing transcriptomes and genomes resulted in a tree with strong support for (Calliduloidea $+$ Gelechioidea $+$ Thyridoidea) $+$ (Papilionoidea $+$ Pyraloidea $+$ Macroheterocera). To examine the efficacy of AHE at a shallow taxonomic level, phylogenetic analyses were also conducted on a sister group representing a more recent divergence, the Saturniidae and Sphingidae. These analyses utilized sequences from the probe region and data flanking it, nearly doubled the size of the dataset; resulting trees supported new phylogenetics relationships, especially within the Saturniidae and Sphingidae (e.g., Hemarina derived in the latter). We hope that our data processing pipeline, hybrid enrichment gene set, and approach of combining AHE data with transcriptomes will be useful for the broader systematics community.
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Affiliation(s)
- Jesse W Breinholt
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA.,RAPiD Genomics, Gainesville, FL 32601, USA
| | - Chandra Earl
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
| | | | - Emily Moriarty Lemmon
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Lei Xiao
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
| | - Akito Y Kawahara
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
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14
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Chesters D. Construction of a Species-Level Tree of Life for the Insects and Utility in Taxonomic Profiling. Syst Biol 2018; 66:426-439. [PMID: 27798407 DOI: 10.1093/sysbio/syw099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Accepted: 10/18/2016] [Indexed: 12/31/2022] Open
Abstract
Although comprehensive phylogenies have proven an invaluable tool in ecology and evolution, their construction is made increasingly challenging both by the scale and structure of publically available sequences. The distinct partition between gene-rich (genomic) and species-rich (DNA barcode) data is a feature of data that has been largely overlooked, yet presents a key obstacle to scaling supermatrix analysis. I present a phyloinformatics framework for draft construction of a species-level phylogeny of insects (Class Insecta). Matrix-building requires separately optimized pipelines for nuclear transcriptomic, mitochondrial genomic, and species-rich markers, whereas tree-building requires hierarchical inference in order to capture species-breadth while retaining deep-level resolution. The phylogeny of insects contains 49,358 species, 13,865 genera, 760 families. Deep-level splits largely reflected previous findings for sections of the tree that are data rich or unambiguous, such as inter-ordinal Endopterygota and Dictyoptera, the recently evolved and relatively homogeneous Lepidoptera, Hymenoptera, Brachycera (Diptera), and Cucujiformia (Coleoptera). However, analysis of bias, matrix construction and gene-tree variation suggests confidence in some relationships (such as in Polyneoptera) is less than has been indicated by the matrix bootstrap method. To assess the utility of the insect tree as a tool in query profiling several tree-based taxonomic assignment methods are compared. Using test data sets with existing taxonomic annotations, a tendency is observed for greater accuracy of species-level assignments where using a fixed comprehensive tree of life in contrast to methods generating smaller de novo reference trees. Described herein is a solution to the discrepancy in the way data are fit into supermatrices. The resulting tree facilitates wider studies of insect diversification and application of advanced descriptions of diversity in community studies, among other presumed applications. [Data integration; data mining; insects; phylogenomics; phyloinformatics; tree of life.].
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Affiliation(s)
- Douglas Chesters
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
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15
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Abstract
With a million described species and more than half a billion preserved specimens, the large scale of insect collections is unequaled by those of any other group. Advances in genomics, collection digitization, and imaging have begun to more fully harness the power that such large data stores can provide. These new approaches and technologies have transformed how entomological collections are managed and utilized. While genomic research has fundamentally changed the way many specimens are collected and curated, advances in technology have shown promise for extracting sequence data from the vast holdings already in museums. Efforts to mainstream specimen digitization have taken root and have accelerated traditional taxonomic studies as well as distribution modeling and global change research. Emerging imaging technologies such as microcomputed tomography and confocal laser scanning microscopy are changing how morphology can be investigated. This review provides an overview of how the realization of big data has transformed our field and what may lie in store.
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Affiliation(s)
- Andrew Edward Z Short
- Department of Ecology and Evolutionary Biology; and Division of Entomology, Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA;
| | - Torsten Dikow
- Department of Entomology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA;
| | - Corrie S Moreau
- Department of Science and Education, Field Museum of Natural History, Chicago, Illinois 60605, USA;
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16
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Dornburg A, Townsend JP, Wang Z. Maximizing Power in Phylogenetics and Phylogenomics: A Perspective Illuminated by Fungal Big Data. ADVANCES IN GENETICS 2017; 100:1-47. [PMID: 29153398 DOI: 10.1016/bs.adgen.2017.09.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Since its original inception over 150 years ago by Darwin, we have made tremendous progress toward the reconstruction of the Tree of Life. In particular, the transition from analyzing datasets comprised of small numbers of loci to those comprised of hundreds of loci, if not entire genomes, has aided in resolving some of the most vexing of evolutionary problems while giving us a new perspective on biodiversity. Correspondingly, phylogenetic trees have taken a central role in fields that span ecology, conservation, and medicine. However, the rise of big data has also presented phylogenomicists with a new set of challenges to experimental design, quantitative analyses, and computation. The sequencing of a number of very first genomes presented significant challenges to phylogenetic inference, leading fungal phylogenomicists to begin addressing pitfalls and postulating solutions to the issues that arise from genome-scale analyses relevant to any lineage across the Tree of Life. Here we highlight insights from fungal phylogenomics for topics including systematics and species delimitation, ecological and phenotypic diversification, and biogeography while providing an overview of progress made on the reconstruction of the fungal Tree of Life. Finally, we provide a review of considerations to phylogenomic experimental design for robust tree inference. We hope that this special issue of Advances in Genetics not only excites the continued progress of fungal evolutionary biology but also motivates the interdisciplinary development of new theory and methods designed to maximize the power of genomic scale data in phylogenetic analyses.
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Affiliation(s)
- Alex Dornburg
- North Carolina Museum of Natural Sciences, Raleigh, NC, United States
| | | | - Zheng Wang
- Yale University, New Haven, CT, United States.
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17
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Simon S, Sagasser S, Saccenti E, Brugler MR, Schranz ME, Hadrys H, Amato G, DeSalle R. Comparative transcriptomics reveal developmental turning points during embryogenesis of a hemimetabolous insect, the damselfly Ischnura elegans. Sci Rep 2017; 7:13547. [PMID: 29051502 PMCID: PMC5648782 DOI: 10.1038/s41598-017-13176-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 09/21/2017] [Indexed: 11/12/2022] Open
Abstract
Identifying transcriptional changes during embryogenesis is of crucial importance for unravelling evolutionary, molecular and cellular mechanisms that underpin patterning and morphogenesis. However, comparative studies focusing on early/embryonic stages during insect development are limited to a few taxa. Drosophila melanogaster is the paradigm for insect development, whereas comparative transcriptomic studies of embryonic stages of hemimetabolous insects are completely lacking. We reconstructed the first comparative transcriptome covering the daily embryonic developmental progression of the blue-tailed damselfly Ischnura elegans (Odonata), an ancient hemimetabolous representative. We identified a "core" set of 6,794 transcripts - shared by all embryonic stages - which are mainly involved in anatomical structure development and cellular nitrogen compound metabolic processes. We further used weighted gene co-expression network analysis to identify transcriptional changes during Odonata embryogenesis. Based on these analyses distinct clusters of transcriptional active sequences could be revealed, indicating that embryos at different development stages have their own transcriptomic profile according to the developmental events and leading to sequential reprogramming of metabolic and developmental genes. Interestingly, a major change in transcriptionally active sequences is correlated with katatrepsis (revolution) during mid-embryogenesis, a 180° rotation of the embryo within the egg and specific to hemimetabolous insects.
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Affiliation(s)
- Sabrina Simon
- Biosystematics Group, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West and 79th St., New York, NY, 10024, USA.
| | - Sven Sagasser
- Ludwig Institute for Cancer Research, Karolinska Institutet, 17177, Stockholm, Sweden
| | - Edoardo Saccenti
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeng 4, 6708 WE, Wageningen, The Netherlands
| | - Mercer R Brugler
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West and 79th St., New York, NY, 10024, USA
- Biological Sciences Department, NYC College of Technology, City University of New York, 300 Jay Street, Brooklyn, New York, 11201, USA
| | - M Eric Schranz
- Biosystematics Group, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands
| | - Heike Hadrys
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West and 79th St., New York, NY, 10024, USA
- ITZ, Ecology&Evolution, University of Veterinary Medicine Hanover, Buenteweg 17d, D-30559, Hannover, Germany
- Yale University, Department of Ecology & Evolutionary Biology, 165 Prospect Street, New Haven, CT, 06511, USA
| | - George Amato
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West and 79th St., New York, NY, 10024, USA
| | - Rob DeSalle
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West and 79th St., New York, NY, 10024, USA
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18
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Vicente Dos Santos V, Tixier MS. Which molecular markers for assessing which taxonomic level? The case study of the mite family Phytoseiidae (Acari: Mesostigmata). Cladistics 2017; 33:251-267. [PMID: 34715727 DOI: 10.1111/cla.12166] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2016] [Indexed: 11/29/2022] Open
Abstract
The use of molecular markers for resolving systematics issues has improved our knowledge of life history. However, for the taxa studied herein-the predatory mite family Phytoseiidae-molecular phylogeny is impeded by a lack of suitable markers for deeper taxonomic levels. This study aims (i) to establish DNA amplification protocols for molecular markers known to resolve supraspecific nodes in other taxa, (ii) to determine their individual performance in assessing the clustering of species, genera, tribes and subfamilies, and (iii) to characterize the additional information provided when markers are concatenated. A new phylogenetic index is proposed based on ecological concepts, considering trees as a community of nodes. New and efficient protocols for DNA amplification of six molecular markers are provided. The concatenated tree globally provides more robust and reliable information, especially for deeper nodes. However, for assessing species identification and within-genera phylogenies, the combined use of six markers does not seem necessary, underlining the need to resize experiments depending on their taxonomic objectives. Finally, this study lays the methodological foundations with which to test the present Phytoseiidae classification as the first phylogeny obtained shows incongruence with the present morphological classification.
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Affiliation(s)
- Victor Vicente Dos Santos
- Montpellier SupAgro, Unité Mixte de Recherche Centre de Biologie pour la Gestion des Populations (INRA/IRD/CIRAD/Montpellier SupAgro), Campus International de Baillarguet, CS 30016, Montferrier-sur-Lez Cedex, 34988, France
| | - Marie-Stephane Tixier
- Montpellier SupAgro, Unité Mixte de Recherche Centre de Biologie pour la Gestion des Populations (INRA/IRD/CIRAD/Montpellier SupAgro), Campus International de Baillarguet, CS 30016, Montferrier-sur-Lez Cedex, 34988, France
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19
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Chipman AD. Oncopeltus fasciatus
as an evo-devo research organism. Genesis 2017; 55. [DOI: 10.1002/dvg.23020] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/29/2016] [Accepted: 01/15/2017] [Indexed: 02/06/2023]
Affiliation(s)
- Ariel D. Chipman
- The Department of Ecology; Evolution and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus; Givat Ram Jerusalem 91904 Israel
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Kjer K, Borowiec ML, Frandsen PB, Ware J, Wiegmann BM. Advances using molecular data in insect systematics. CURRENT OPINION IN INSECT SCIENCE 2016; 18:40-47. [PMID: 27939709 DOI: 10.1016/j.cois.2016.09.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 09/26/2016] [Indexed: 06/06/2023]
Abstract
The size of molecular datasets has been growing exponentially since the mid 1980s, and new technologies have now dramatically increased the slope of this increase. New datasets include genomes, transcriptomes, and hybrid capture data, producing hundreds or thousands of loci. With these datasets, we are approaching a consensus on the higher level insect phylogeny. Huge datasets can produce new challenges in interpreting branch support, and new opportunities in developing better models and more sophisticated partitioning schemes. Dating analyses are improving as we recognize the importance of careful fossil calibration selection. With thousands of genes now available, coalescent methods have come of age. Barcode libraries continue to expand, and new methods are being developed for incorporating them into phylogenies with tens of thousands of individuals.
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Affiliation(s)
- Karl Kjer
- Rutgers University, Department of Biological Sciences, 415 Boyden Hall, Newark, NJ 07012, USA
| | - Marek L Borowiec
- University of Rochester, 226 Hutchison Hall, Rochester, NY 14627, USA
| | - Paul B Frandsen
- Smithsonian Institution, Office of Research Information Services, Office of the Chief Information Officer, Washington, D.C. 20024, USA
| | - Jessica Ware
- Rutgers University, Department of Biological Sciences, 415 Boyden Hall, Newark, NJ 07012, USA
| | - Brian M Wiegmann
- Department of Entomology & Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA.
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21
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Song N, Li H, Song F, Cai W. Molecular phylogeny of Polyneoptera (Insecta) inferred from expanded mitogenomic data. Sci Rep 2016; 6:36175. [PMID: 27782189 PMCID: PMC5080581 DOI: 10.1038/srep36175] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 10/06/2016] [Indexed: 02/02/2023] Open
Abstract
The Polyneoptera represents one of the earliest insect radiations, comprising the majority of hemimetabolous orders, in which many species have great economic importance. Here, we sequenced eleven mitochondrial genomes of the polyneopteran insects by using high throughput pooled sequencing technology, and presented a phylogenetic reconstruction for this group based on expanded mitochondrial genome data. Our analyses included 189 taxa, of which 139 species represent all the major polyneopteran lineages. Multiple results support the monophyly of Polyneoptera, the monophyly of Dictyoptera, and the monophyly of Orthoptera. Sister taxon relationships Plecoptera + Dermaptera, and Zoraptera + Embioptera are also supported by most analyses. Within Dictyoptera, the Blattodea is consistently retrieved as paraphyly due to the sister group relationship of Cryptocercus with Isoptera. In addition, the results demonstrate that model selection, data treatment, and outgroup choice can have significant effects on the reconstructed phylogenetic relationships of Polyneoptera.
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Affiliation(s)
- Nan Song
- College of Plant Protection, Henan Agricultural University, Zhengzhou, China
| | - Hu Li
- Department of Entomology, China Agricultural University, Beijing, China
| | - Fan Song
- Department of Entomology, China Agricultural University, Beijing, China
| | - Wanzhi Cai
- Department of Entomology, China Agricultural University, Beijing, China
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22
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Affiliation(s)
- Scott V. Edwards
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology Harvard University Cambridge MA 02138 USA
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23
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Kjer KM, Simon C, Yavorskaya M, Beutel RG. Progress, pitfalls and parallel universes: a history of insect phylogenetics. J R Soc Interface 2016; 13:20160363. [PMID: 27558853 PMCID: PMC5014063 DOI: 10.1098/rsif.2016.0363] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/19/2016] [Indexed: 11/12/2022] Open
Abstract
The phylogeny of insects has been both extensively studied and vigorously debated for over a century. A relatively accurate deep phylogeny had been produced by 1904. It was not substantially improved in topology until recently when phylogenomics settled many long-standing controversies. Intervening advances came instead through methodological improvement. Early molecular phylogenetic studies (1985-2005), dominated by a few genes, provided datasets that were too small to resolve controversial phylogenetic problems. Adding to the lack of consensus, this period was characterized by a polarization of philosophies, with individuals belonging to either parsimony or maximum-likelihood camps; each largely ignoring the insights of the other. The result was an unfortunate detour in which the few perceived phylogenetic revolutions published by both sides of the philosophical divide were probably erroneous. The size of datasets has been growing exponentially since the mid-1980s accompanied by a wave of confidence that all relationships will soon be known. However, large datasets create new challenges, and a large number of genes does not guarantee reliable results. If history is a guide, then the quality of conclusions will be determined by an improved understanding of both molecular and morphological evolution, and not simply the number of genes analysed.
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Affiliation(s)
- Karl M Kjer
- Department of Entomology and Nematology, University of California-Davis, 1282 Academic Surge, Davis, CA 95616, USA
| | - Chris Simon
- Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Storrs, CT 06269-3043, USA
| | - Margarita Yavorskaya
- Institut für Spezielle Zoologie und Evolutionsbiologie, FSU Jena, 07743 Jena, Germany
| | - Rolf G Beutel
- Institut für Spezielle Zoologie und Evolutionsbiologie, FSU Jena, 07743 Jena, Germany
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24
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Dallai R, Mercati D, Mashimo Y, Machida R, Beutel RG. The fine structure of the rectal pads of Zorotypus caudelli Karny (Zoraptera, Insecta). ARTHROPOD STRUCTURE & DEVELOPMENT 2016; 45:380-388. [PMID: 27368527 DOI: 10.1016/j.asd.2016.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 06/16/2016] [Accepted: 06/22/2016] [Indexed: 06/06/2023]
Abstract
The rectal pads of a species of the controversial polyneopteran order Zoraptera were examined using histological sections and TEM micrographs. Six pads are present along the thin rectal epithelium. Each pad consists of a few large principal cells surrounded by flattened junctional cells, which extend also beneath the principal cells. The cells are lined by a thin apical cuticle. No basal cells and no cavity have been observed beneath the pad. Principal cells have a regular layer of apical microvilli and are joined by intercellular septate junctions, which are interrupted by short dilatations of the intercellular space. At these levels the two adjacent plasma membranes are joined by short zonulae adhaerentes. In the cytoplasm, a rich system of strict associations between lateral plasma membranes and mitochondria forms scalariform junctions. Rectal pads share ultrastructural features with similar excretory organs of several neopteran groups, in particular with Blattodea (roaches and termites) and Thysanoptera, and are involved in fluid reabsorption and ion regulation.
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Affiliation(s)
- R Dallai
- Department of Life Sciences, Via A. Moro 2, University of Siena, I-53100 Siena, Italy.
| | - D Mercati
- Department of Life Sciences, Via A. Moro 2, University of Siena, I-53100 Siena, Italy
| | - Y Mashimo
- Sugadaira Montane Research Center, University of Tsukuba, Nagano 386-2204, Japan
| | - R Machida
- Sugadaira Montane Research Center, University of Tsukuba, Nagano 386-2204, Japan
| | - R G Beutel
- Institut für Spezielle Zoologie und Evolutionsbiologie, FSU Jena, Erbertstraße 1, 07743 Jena, Germany
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25
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Yeates DK, Meusemann K, Trautwein M, Wiegmann B, Zwick A. Power, resolution and bias: recent advances in insect phylogeny driven by the genomic revolution. CURRENT OPINION IN INSECT SCIENCE 2016; 13:16-23. [PMID: 27436549 DOI: 10.1016/j.cois.2015.10.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Revised: 10/08/2015] [Accepted: 10/18/2015] [Indexed: 06/06/2023]
Abstract
Our understanding on the phylogenetic relationships of insects has been revolutionised in the last decade by the proliferation of next generation sequencing technologies (NGS). NGS has allowed insect systematists to assemble very large molecular datasets that include both model and non-model organisms. Such datasets often include a large proportion of the total number of protein coding sequences available for phylogenetic comparison. We review some early entomological phylogenomic studies that employ a range of different data sampling protocols and analyses strategies, illustrating a fundamental renaissance in our understanding of insect evolution all driven by the genomic revolution. The analysis of phylogenomic datasets is challenging because of their size and complexity, and it is obvious that the increasing size alone does not ensure that phylogenetic signal overcomes systematic biases in the data. Biases can be due to various factors such as the method of data generation and assembly, or intrinsic biological feature of the data per se, such as similarities due to saturation or compositional heterogeneity. Such biases often cause violations in the underlying assumptions of phylogenetic models. We review some of the bioinformatics tools available and being developed to detect and minimise systematic biases in phylogenomic datasets. Phylogenomic-scale data coupled with sophisticated analyses will revolutionise our understanding of insect functional genomics. This will illuminate the relationship between the vast range of insect phenotypic diversity and underlying genetic diversity. In combination with rapidly developing methods to estimate divergence times, these analyses will also provide a compelling view of the rates and patterns of lineagenesis (birth of lineages) over the half billion years of insect evolution.
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Affiliation(s)
- David K Yeates
- Australian National Insect Collection, CSIRO National Research Collections Australia, Canberra, ACT 2601, Australia.
| | - Karen Meusemann
- Australian National Insect Collection, CSIRO National Research Collections Australia, Canberra, ACT 2601, Australia
| | - Michelle Trautwein
- California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118, USA
| | - Brian Wiegmann
- Department of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA
| | - Andreas Zwick
- Australian National Insect Collection, CSIRO National Research Collections Australia, Canberra, ACT 2601, Australia
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Wang B, Zhang Y, Wei P, Sun M, Ma X, Zhu X. Identification of nuclear low-copy genes and their phylogenetic utility in rosids. Genome 2015; 57:547-54. [PMID: 25761707 DOI: 10.1139/gen-2014-0138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
By far, the interordinal relationships in rosids remain poorly resolved. Previous studies based on chloroplast, mitochondrial, and nuclear DNA has produced conflicting phylogenetic resolutions that has become a widely concerned problem in recent phylogenetic studies. Here, a total of 96 single-copy nuclear gene loci were identified from the KOG (eukaryotic orthologous groups) database, most of which were first used for phylogenetic analysis of angiosperms. The orthologous sequence datasets from completely sequenced genomes of rosids were assembled for the resolution of the position of the COM (Celastrales-Oxalidales-Malpighiales) clade in rosids. Our analysis revealed strong and consistent support for CM topology (the COM clade as sister to the malvids). Our results will contribute to further exploring the underlying cause of conflict between chloroplast, mitochondrial, and nuclear data. In addition, our study identified a few novel nuclear molecular markers with potential to investigate the deep phylogenetic relationship of plants or other eukaryotic taxonomical groups.
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Affiliation(s)
- Baohua Wang
- School of Life Sciences, Nantong University, Nantong 226019, China
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27
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Behura SK. Insect phylogenomics. INSECT MOLECULAR BIOLOGY 2015; 24:403-11. [PMID: 25963452 PMCID: PMC4503476 DOI: 10.1111/imb.12174] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 03/10/2015] [Accepted: 04/04/2015] [Indexed: 05/08/2023]
Abstract
Phylogenomics, the integration of phylogenetics with genome data, has emerged as a powerful approach to study the evolution and systematics of species. Recently, several studies employing phylogenomic tools have provided better insights into insect evolution. Next-generation sequencing methods are now increasingly used by entomologists to generate genomic and transcript sequences of various insect species and strains. These data provide opportunities for comparative genomics and large-scale multigene phylogenies of diverse lineages of insects. Phy-logenomic investigations help us to better understand systematic and evolutionary relationships of insect species that play important roles as herbivores, predators, detritivores, pollinators and disease vectors. It is important that we critically assess the prospects and limitations of phylogenomic methods. In this review, I describe the current status, outline the major challenges and remark on potential future applications of phylogenomic tools in studying insect systematics and evolution.
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Affiliation(s)
- S K Behura
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
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28
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Brandley MC, Bragg JG, Singhal S, Chapple DG, Jennings CK, Lemmon AR, Lemmon EM, Thompson MB, Moritz C. Evaluating the performance of anchored hybrid enrichment at the tips of the tree of life: a phylogenetic analysis of Australian Eugongylus group scincid lizards. BMC Evol Biol 2015; 15:62. [PMID: 25880916 PMCID: PMC4434831 DOI: 10.1186/s12862-015-0318-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 02/24/2015] [Indexed: 01/31/2023] Open
Abstract
Background High-throughput sequencing using targeted enrichment and transcriptomic methods enables rapid construction of phylogenomic data sets incorporating hundreds to thousands of loci. These advances have enabled access to an unprecedented amount of nucleotide sequence data, but they also pose new questions. Given that the loci targeted for enrichment are often highly conserved, how informative are they at different taxonomic scales, especially at the intraspecific/phylogeographic scale? We investigate this question using Australian scincid lizards in the Eugongylus group (Squamata: Scincidae). We sequenced 415 anchored hybrid enriched (AHE) loci for 43 individuals and mined 1650 exons (1648 loci) from transcriptomes (transcriptome mining) from 11 individuals, including multiple phylogeographic lineages within several species of Carlia, Lampropholis, and Saproscincus skinks. We assessed the phylogenetic information content of these loci at the intergeneric, interspecific, and phylogeographic scales. As a further test of the utility at the phylogeographic scale, we used the anchor hybrid enriched loci to infer lineage divergence parameters using coalescent models of isolation with migration. Results Phylogenetic analyses of both data sets inferred very strongly supported trees at all taxonomic levels. Further, AHE loci yielded estimates of divergence times between closely related lineages that were broadly consistent with previous population-level analyses. Conclusions Anchored-enriched loci are useful at the deep phylogeny and phylogeographic scales. Although overall phylogenetic support was high throughout the Australian Eugongylus group phylogeny, there were nonetheless some conflicting or unresolved relationships, especially regarding the placement of Pseudemoia, Cryptoblepharus, and the relationships amongst closely-related species of Tasmanian Niveoscincus skinks. Electronic supplementary material The online version of this article (doi:10.1186/s12862-015-0318-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthew C Brandley
- School of Biological Sciences, Heydon-Laurence Building A08, University of Sydney, Sydney, NSW, 2006, Australia. .,New York University - Sydney, The Rocks, NSW, 2000, Australia.
| | - Jason G Bragg
- Research School of Biology and Centre for Biodiversity Analysis, The Australian National University, Canberra, ACT 0200, Australia.
| | - Sonal Singhal
- Museum of Vertebrate Zoology, University of California, 3101 Valley Life Sciences Building, Berkeley, CA, 94720, USA. .,Department of Integrative Biology, University of California, 3060 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
| | - David G Chapple
- School of Biological Sciences, Monash University, Clayton, Melbourne, VIC, 3800, Australia.
| | - Charlotte K Jennings
- Museum of Vertebrate Zoology, University of California, 3101 Valley Life Sciences Building, Berkeley, CA, 94720, USA. .,Department of Integrative Biology, University of California, 3060 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
| | - Alan R Lemmon
- Department of Scientific Computing, Florida State University, Dirac Science Library, Tallahassee, FL, 32306, USA.
| | - Emily Moriarty Lemmon
- Department of Biological Science, Florida State University, 319 Stadium Drive, PO Box 3064295, Tallahassee, FL, 32306, USA.
| | - Michael B Thompson
- School of Biological Sciences, Heydon-Laurence Building A08, University of Sydney, Sydney, NSW, 2006, Australia.
| | - Craig Moritz
- Research School of Biology and Centre for Biodiversity Analysis, The Australian National University, Canberra, ACT 0200, Australia. .,The Commonwealth Scientific and Industrial Research Organization Ecosystem Sciences Division, GPO Box 1700, Canberra, ACT, 2601, Australia.
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Sharma PP, Fernández R, Esposito LA, González-Santillán E, Monod L. Phylogenomic resolution of scorpions reveals multilevel discordance with morphological phylogenetic signal. Proc Biol Sci 2015; 282:20142953. [PMID: 25716788 PMCID: PMC4375871 DOI: 10.1098/rspb.2014.2953] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 01/26/2015] [Indexed: 01/22/2023] Open
Abstract
Scorpions represent an iconic lineage of arthropods, historically renowned for their unique bauplan, ancient fossil record and venom potency. Yet, higher level relationships of scorpions, based exclusively on morphology, remain virtually untested, and no multilocus molecular phylogeny has been deployed heretofore towards assessing the basal tree topology. We applied a phylogenomic assessment to resolve scorpion phylogeny, for the first time, to our knowledge, sampling extensive molecular sequence data from all superfamilies and examining basal relationships with up to 5025 genes. Analyses of supermatrices as well as species tree approaches converged upon a robust basal topology of scorpions that is entirely at odds with traditional systematics and controverts previous understanding of scorpion evolutionary history. All analyses unanimously support a single origin of katoikogenic development, a form of parental investment wherein embryos are nurtured by direct connections to the parent's digestive system. Based on the phylogeny obtained herein, we propose the following systematic emendations: Caraboctonidae is transferred to Chactoidea new superfamilial assignment: ; superfamily Bothriuroidea revalidated: is resurrected and Bothriuridae transferred therein; and Chaerilida and Pseudochactida are synonymized with Buthida new parvordinal synonymies: .
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Affiliation(s)
- Prashant P Sharma
- Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024, USA
| | - Rosa Fernández
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA
| | - Lauren A Esposito
- Essig Museum of Entomology, University of California at Berkeley, 130 Mulford Hall, Berkeley, CA 94720, USA
| | - Edmundo González-Santillán
- Laboratorio Nacional de Genómica para la Biodiversidad, Centro de Investigaciones y de Estudios Avanzados del Instituto Politecnico Nacional, and Laboratorio de Aracnología, Departamento de Biología Comparada, Facultad de Ciencias, Universidad Nacional Autónoma de México, Coyoacán, C.P. 04510, México DF, México
| | - Lionel Monod
- Département des Arthropodes et d'Entomologie I, Muséum d'Histoire Naturelle de la Ville de Genève, Route de Malagnou 1, Genève 1208, Switzerland
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Sun M, Soltis DE, Soltis PS, Zhu X, Burleigh JG, Chen Z. Deep phylogenetic incongruence in the angiosperm clade Rosidae. Mol Phylogenet Evol 2015; 83:156-66. [DOI: 10.1016/j.ympev.2014.11.003] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 11/01/2014] [Accepted: 11/05/2014] [Indexed: 10/24/2022]
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Ma C, Wang Y, Wu C, Kang L, Liu C. The compact mitochondrial genome of Zorotypus medoensis provides insights into phylogenetic position of Zoraptera. BMC Genomics 2014; 15:1156. [PMID: 25529234 PMCID: PMC4367826 DOI: 10.1186/1471-2164-15-1156] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Accepted: 12/12/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Zoraptera, generally regarded as a member of Polyneoptera, represents one of the most enigmatic insect orders. Although phylogenetic analyses based on a wide array of morphological and/or nuclear data have been performed, the position of Zoraptera is still under debate. Mitochondrial genome (mitogenome) information is commonly considered to be preferable to reconstruct phylogenetic relationships, but no efforts have been made to incorporate it in Zorapteran phylogeny. To characterize Zoraptera mitogenome features and provide insights into its phylogenetic placement, here we sequenced, for the first time, one complete mitogenome of Zoraptera and reconstructed the phylogeny of Polyneoptera. RESULTS The mitogenome of Zorotypus medoensis with an A+T content of 72.50% is composed of 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and a noncoding A+T-rich region. The gene content and arrangement are identical to those considered ancestral for insects. This mitogenome shows a number of very unusual features. First, it is very compact, comprising 14,572 bp, and is the smallest among all known polyneopteran mitogenomes. Second, both noncoding sequences and coding genes exhibit a significant decrease in size compared with those of other polyneopterans. Third, Z. medoensis mitogenome has experienced an accelerated substitution rate. Fourth, truncated secondary structures of tRNA genes occur with loss of dihydrouridine (DHU) arm in trnC, trnR, and trnS(AGN) and loss of TΨC arm in trnH and trnT. The phylogenetic analyses based on the mitogenome sequence information indicate that Zoraptera, represented by Z. medoensis, is recovered as sister to Embioptera. However, both Zoraptera and Embioptera exhibit very long branches in phylogenetic trees. CONCLUSIONS Characterization of Z. medoensis mitogenome contributes to our understanding of the enigmatic Zoraptera. Mitogenome data demonstrate an overall strong resolution of deep-level phylogenies of Polyneoptera but not Insecta. It is preferable to expand taxon sampling of Zoraptera and other poorly represented orders in future to break up long branches.
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Affiliation(s)
- Chuan Ma
- />State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- />Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101 China
| | - Yeying Wang
- />State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Chao Wu
- />State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Le Kang
- />State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- />Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101 China
| | - Chunxiang Liu
- />State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- />Laboratory of Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
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Breinholt JW, Kawahara AY. Phylotranscriptomics: saturated third codon positions radically influence the estimation of trees based on next-gen data. Genome Biol Evol 2014; 5:2082-92. [PMID: 24148944 PMCID: PMC3845638 DOI: 10.1093/gbe/evt157] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Recent advancements in molecular sequencing techniques have led to a surge in the number of phylogenetic studies that incorporate large amounts of genetic data. We test the assumption that analyzing large number of genes will lead to improvements in tree resolution and branch support using moths in the superfamily Bombycoidea, a group with some interfamilial relationships that have been difficult to resolve. Specifically, we use a next-gen data set that included 19 taxa and 938 genes (∼1.2M bp) to examine how codon position and saturation might influence resolution and node support among three key families. Maximum likelihood, parsimony, and species tree analysis using gene tree parsimony, on different nucleotide and amino acid data sets, resulted in largely congruent topologies with high bootstrap support compared with prior studies that included fewer loci. However, for a few shallow nodes, nucleotide and amino acid data provided high support for conflicting relationships. The third codon position was saturated and phylogenetic analysis of this position alone supported a completely different, potentially misleading sister group relationship. We used the program RADICAL to assess the number of genes needed to fix some of these difficult nodes. One such node originally needed a total of 850 genes but only required 250 when synonymous signal was removed. Our study shows that, in order to effectively use next-gen data to correctly resolve difficult phylogenetic relationships, it is necessary to assess the effects of synonymous substitutions and third codon positions.
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Schneider SE, Thomas JH. Accidental genetic engineers: horizontal sequence transfer from parasitoid wasps to their Lepidopteran hosts. PLoS One 2014; 9:e109446. [PMID: 25296163 PMCID: PMC4190172 DOI: 10.1371/journal.pone.0109446] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Accepted: 09/04/2014] [Indexed: 11/18/2022] Open
Abstract
We show here that 105 regions in two Lepidoptera genomes appear to derive from horizontally transferred wasp DNA. We experimentally verified the presence of two of these sequences in a diverse set of silkworm (Bombyx mori) genomes. We hypothesize that these horizontal transfers are made possible by the unusual strategy many parasitoid wasps employ of injecting hosts with endosymbiotic polydnaviruses to minimize the host's defense response. Because these virus-like particles deliver wasp DNA to the cells of the host, there has been much interest in whether genetic information can be permanently transferred from the wasp to the host. Two transferred sequences code for a BEN domain, known to be associated with polydnaviruses and transcriptional regulation. These findings represent the first documented cases of horizontal transfer of genes between two organisms by a polydnavirus. This presents an interesting evolutionary paradigm in which host species can acquire new sequences from parasitoid wasps that attack them. Hymenoptera and Lepidoptera diverged ∼300 MYA, making this type of event a source of novel sequences for recipient species. Unlike many other cases of horizontal transfer between two eukaryote species, these sequence transfers can be explained without the need to invoke the sequences 'hitchhiking' on a third organism (e.g. retrovirus) capable of independent reproduction. The cellular machinery necessary for the transfer is contained entirely in the wasp genome. The work presented here is the first such discovery of what is likely to be a broader phenomenon among species affected by these wasps.
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Affiliation(s)
- Sean E. Schneider
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
- * E-mail:
| | - James H. Thomas
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
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Dallai R, Gottardo M, Mercati D, Rafael JA, Machida R, Mashimo Y, Matsumura Y, Beutel RG. The intermediate sperm type and genitalia of Zorotypus shannoni Gurney: evidence supporting infraordinal lineages in Zoraptera (Insecta). ZOOMORPHOLOGY 2014. [DOI: 10.1007/s00435-014-0244-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Sharma PP, Kaluziak ST, Pérez-Porro AR, González VL, Hormiga G, Wheeler WC, Giribet G. Phylogenomic Interrogation of Arachnida Reveals Systemic Conflicts in Phylogenetic Signal. Mol Biol Evol 2014; 31:2963-84. [DOI: 10.1093/molbev/msu235] [Citation(s) in RCA: 215] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Dallai R, Gottardo M, Mercati D, Machida R, Mashimo Y, Matsumura Y, Rafael JA, Beutel RG. Comparative morphology of spermatozoa and reproductive systems of zorapteran species from different world regions (Insecta, Zoraptera). ARTHROPOD STRUCTURE & DEVELOPMENT 2014; 43:371-383. [PMID: 24657729 DOI: 10.1016/j.asd.2014.03.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Revised: 03/10/2014] [Accepted: 03/12/2014] [Indexed: 06/03/2023]
Abstract
The male and female reproductive apparatus of Zorotypus magnicaudelli (Malaysia), Zorotypus huxleyi (Ecuador) and Zorotypus weidneri (Brazil) were examined and documented in detail. The genital apparatus and sperm of the three species show only minor differences. The testes are larger in Z. magnicaudelli. Z. huxleyi lacks the helical appendage in the accessory glands. A long cuticular flagellum is present in Z. magnicaudelli and in the previously studied Zorotypus caudelli like in several other species, whereas it is absent in Z. weidneri, Z. huxleyi, Zorotypus hubbardi, Zorotypus impolitus and Zorotypus guineensis. Characteristic features of the very similar sperm are the presence of: a) two dense arches above the axoneme; b) a 9 + 9+2 axoneme with detached subtubules A and B of doublets 1 and 6; c) the axonemal end degenerating with enlarging accessory tubules; d) accessory tubules with 17 protofilaments; e) three accessory bodies beneath the axoneme; and f) two mitochondrial derivatives of equal shape. The first characteristic (a) is unknown outside of Zoraptera and possibly autapomorphic. The sperm structure differs distinctly in Z. impolitus and Z. hubbardi, which produce giant sperm and possess a huge spermatheca. The presence of the same sperm type in species either provided with a sclerotized coiled flagellum in males or lacking this structure indicates that a different organization of the genital apparatus does not necessarily affect the sperm structure. The flagellum and its pouch has probably evolved within Zoraptera, but it cannot be excluded that it is a groundplan feature and was reduced several times. The fossil evidence and our findings suggest that distinct modifications in the genital apparatus occurred before the fragmentation of the Gondwanan landmass in the middle Cretaceous.
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Affiliation(s)
- Romano Dallai
- Department of Life Sciences, Via A. Moro 2, University of Siena, I-53100 Siena, Italy.
| | - Marco Gottardo
- Department of Life Sciences, Via A. Moro 2, University of Siena, I-53100 Siena, Italy.
| | - David Mercati
- Department of Life Sciences, Via A. Moro 2, University of Siena, I-53100 Siena, Italy.
| | - Ryuichiro Machida
- Sugadaira Montane Research Center, University of Tsukuba, Nagano 386-2204, Japan.
| | - Yuta Mashimo
- Sugadaira Montane Research Center, University of Tsukuba, Nagano 386-2204, Japan.
| | - Yoko Matsumura
- Entomology Group, Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-Universität Jena, Erbertstr. 1, D-07743 Jena, Germany.
| | - José Albertino Rafael
- Instituto Nacional de Pesquisas da Amazonia, Caixa Postal 478, 69011-970 Manaus, AM, Brazil.
| | - Rolf Georg Beutel
- Entomology Group, Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-Universität Jena, Erbertstr. 1, D-07743 Jena, Germany.
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De novo transcriptome hybrid assembly and validation in the European earwig (Dermaptera, Forficula auricularia). PLoS One 2014; 9:e94098. [PMID: 24722757 PMCID: PMC3983118 DOI: 10.1371/journal.pone.0094098] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 03/10/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The European earwig (Forficula auricularia) is an established system for studies of sexual selection, social interactions and the evolution of parental care. Despite its scientific interest, little knowledge exists about the species at the genomic level, limiting the scope of molecular studies and expression analyses of genes of interest. To overcome these limitations, we sequenced and validated the transcriptome of the European earwig. METHODOLOGY AND PRINCIPAL FINDINGS To obtain a comprehensive transcriptome, we sequenced mRNA from various tissues and developmental stages of female and male earwigs using Roche 454 pyrosequencing and Illumina HiSeq. The reads were de novo assembled independently and screened for possible microbial contamination and repeated elements. The remaining contigs were combined into a hybrid assembly and clustered to reduce redundancy. A comparison with the eukaryotic core gene dataset indicates that we sequenced a substantial part of the earwig transcriptome with a low level of fragmentation. In addition, a comparative analysis revealed that more than 8,800 contigs of the hybrid assembly show significant similarity to insect-specific proteins and those were assigned for Gene Ontology terms. Finally, we established a quantitative PCR test for expression stability using commonly used housekeeping genes and applied the method to five homologs of known sex-biased genes of the honeybee. The qPCR pilot study confirmed sex specific expression and also revealed significant expression differences between the brain and antenna tissue samples. CONCLUSIONS By employing two different sequencing approaches and including samples obtained from different tissues, developmental stages, and sexes, we were able to assemble a comprehensive transcriptome of F. auricularia. The transcriptome presented here offers new opportunities to study the molecular bases and evolution of parental care and sociality in arthropods.
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Peters RS, Meusemann K, Petersen M, Mayer C, Wilbrandt J, Ziesmann T, Donath A, Kjer KM, Aspöck U, Aspöck H, Aberer A, Stamatakis A, Friedrich F, Hünefeld F, Niehuis O, Beutel RG, Misof B. The evolutionary history of holometabolous insects inferred from transcriptome-based phylogeny and comprehensive morphological data. BMC Evol Biol 2014; 14:52. [PMID: 24646345 PMCID: PMC4000048 DOI: 10.1186/1471-2148-14-52] [Citation(s) in RCA: 103] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Accepted: 03/04/2014] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Despite considerable progress in systematics, a comprehensive scenario of the evolution of phenotypic characters in the mega-diverse Holometabola based on a solid phylogenetic hypothesis was still missing. We addressed this issue by de novo sequencing transcriptome libraries of representatives of all orders of holometabolan insects (13 species in total) and by using a previously published extensive morphological dataset. We tested competing phylogenetic hypotheses by analyzing various specifically designed sets of amino acid sequence data, using maximum likelihood (ML) based tree inference and Four-cluster Likelihood Mapping (FcLM). By maximum parsimony-based mapping of the morphological data on the phylogenetic relationships we traced evolutionary transformations at the phenotypic level and reconstructed the groundplan of Holometabola and of selected subgroups. RESULTS In our analysis of the amino acid sequence data of 1,343 single-copy orthologous genes, Hymenoptera are placed as sister group to all remaining holometabolan orders, i.e., to a clade Aparaglossata, comprising two monophyletic subunits Mecopterida (Amphiesmenoptera + Antliophora) and Neuropteroidea (Neuropterida + Coleopterida). The monophyly of Coleopterida (Coleoptera and Strepsiptera) remains ambiguous in the analyses of the transcriptome data, but appears likely based on the morphological data. Highly supported relationships within Neuropterida and Antliophora are Raphidioptera + (Neuroptera + monophyletic Megaloptera), and Diptera + (Siphonaptera + Mecoptera). ML tree inference and FcLM yielded largely congruent results. However, FcLM, which was applied here for the first time to large phylogenomic supermatrices, displayed additional signal in the datasets that was not identified in the ML trees. CONCLUSIONS Our phylogenetic results imply that an orthognathous larva belongs to the groundplan of Holometabola, with compound eyes and well-developed thoracic legs, externally feeding on plants or fungi. Ancestral larvae of Aparaglossata were prognathous, equipped with single larval eyes (stemmata), and possibly agile and predacious. Ancestral holometabolan adults likely resembled in their morphology the groundplan of adult neopteran insects. Within Aparaglossata, the adult's flight apparatus and ovipositor underwent strong modifications. We show that the combination of well-resolved phylogenies obtained by phylogenomic analyses and well-documented extensive morphological datasets is an appropriate basis for reconstructing complex morphological transformations and for the inference of evolutionary histories.
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Affiliation(s)
- Ralph S Peters
- Zoologisches Forschungsmuseum Alexander Koenig, Abteilung Arthropoda, Adenauerallee 160, 53113 Bonn, Germany
| | - Karen Meusemann
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
- CSIRO Ecosystem Sciences, Australian National Insect Collection, Clunies Ross Street, Acton ACT 2601, Australia
| | - Malte Petersen
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Christoph Mayer
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Jeanne Wilbrandt
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Tanja Ziesmann
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Alexander Donath
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Karl M Kjer
- Rutgers University, Department of Ecology, Evolution and Natural Resources, New Brunswick, NJ 08901, USA
| | - Ulrike Aspöck
- Naturhistorisches Museum Wien, 2. Zool. Abteilung, Burgring 7, 1010 Vienna, Austria
- Department of Evolutionary Biology, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
| | - Horst Aspöck
- Institut für Spezifische Prophylaxe und Tropenmedizin, Medizinische Parasitologie, Medizinische Universität Wien (MUW), Kinderspitalgasse 15, 1090 Vienna, Austria
| | - Andre Aberer
- Heidelberg Institute for Theoretical Studies (HITS), Scientific Computing Group, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany
| | - Alexandros Stamatakis
- Heidelberg Institute for Theoretical Studies (HITS), Scientific Computing Group, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany
- Karlsruher Institut für Technologie, Fakultät für Informatik, Postfach 698076128 Karlsruhe, Germany
| | - Frank Friedrich
- Biozentrum Grindel und Zoologisches Museum Hamburg, Universität Hamburg, Martin-Luther-King-Platz 3, 20146 Hamburg, Germany
| | - Frank Hünefeld
- Entomology Group, Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-Universität Jena, Erbertstraße. 1, 07743 Jena, Germany
| | - Oliver Niehuis
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
| | - Rolf G Beutel
- Entomology Group, Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-Universität Jena, Erbertstraße. 1, 07743 Jena, Germany
| | - Bernhard Misof
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Adenauerallee 160, 53113 Bonn, Germany
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Schierwater B, Stadler P, Desalle R, Podsiadlowski L. Mitogenomics and metazoan evolution. Mol Phylogenet Evol 2014; 69:311-2. [PMID: 24010851 DOI: 10.1016/j.ympev.2013.08.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Bernd Schierwater
- ITZ, TiHo Hannover, Buenteweg 17d, 30559 Hannover, Germany; Yale University, MCDB, 165 Prospect St, New Haven, CT 06511, USA; AMNH New York, Central Park West at 79th Street, New York, NY 10024, USA
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Dell’Ampio E, Meusemann K, Szucsich NU, Peters RS, Meyer B, Borner J, Petersen M, Aberer AJ, Stamatakis A, Walzl MG, Minh BQ, von Haeseler A, Ebersberger I, Pass G, Misof B. Decisive data sets in phylogenomics: lessons from studies on the phylogenetic relationships of primarily wingless insects. Mol Biol Evol 2014; 31:239-49. [PMID: 24140757 PMCID: PMC3879454 DOI: 10.1093/molbev/mst196] [Citation(s) in RCA: 104] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Phylogenetic relationships of the primarily wingless insects are still considered unresolved. Even the most comprehensive phylogenomic studies that addressed this question did not yield congruent results. To get a grip on these problems, we here analyzed the sources of incongruence in these phylogenomic studies by using an extended transcriptome data set. Our analyses showed that unevenly distributed missing data can be severely misleading by inflating node support despite the absence of phylogenetic signal. In consequence, only decisive data sets should be used which exclusively comprise data blocks containing all taxa whose relationships are addressed. Additionally, we used Four-cluster Likelihood Mapping (FcLM) to measure the degree of congruence among genes of a data set, as a measure of support alternative to bootstrap. FcLM showed incongruent signal among genes, which in our case is correlated neither with functional class assignment of these genes nor with model misspecification due to unpartitioned analyses. The herein analyzed data set is the currently largest data set covering primarily wingless insects, but failed to elucidate their interordinal phylogenetic relationships. Although this is unsatisfying from a phylogenetic perspective, we try to show that the analyses of structure and signal within phylogenomic data can protect us from biased phylogenetic inferences due to analytical artifacts.
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Affiliation(s)
| | - Karen Meusemann
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Bonn, Germany
- CSIRO Ecosystem Sciences, Australian National Insect Collection, Acton, ACT, Australia
| | | | - Ralph S. Peters
- Zoologisches Forschungsmuseum Alexander Koenig, Abteilung Arthropoda, Bonn, Germany
| | - Benjamin Meyer
- Institut für Systemische Neurowissenschaften, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Janus Borner
- Biozentrum Grindel & Zoologisches Museum, Universität Hamburg, Hamburg, Germany
| | - Malte Petersen
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Bonn, Germany
| | - Andre J. Aberer
- Heidelberg Institute for Theoretical Studies (HITS), Scientific Computing Group, Heidelberg, Germany
| | - Alexandros Stamatakis
- Heidelberg Institute for Theoretical Studies (HITS), Scientific Computing Group, Heidelberg, Germany
- Karlsruher Institut für Technologie, Fakultät für Informatik, Karlsruhe, Germany
| | - Manfred G. Walzl
- Department of Integrative Zoology, University of Vienna, Vienna, Austria
| | - Bui Quang Minh
- Center for Integrative Bioinformatics Vienna (CIBIV), Max F Perutz Laboratories, University of Vienna, Medical University of Vienna, Vienna, Austria
| | - Arndt von Haeseler
- Bioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, Vienna, Austria
| | - Ingo Ebersberger
- Institute for Cell Biology and Neuroscience, Goethe-Universität Frankfurt, Frankfurt am Main, Germany
| | - Günther Pass
- Department of Integrative Zoology, University of Vienna, Vienna, Austria
| | - Bernhard Misof
- Zoologisches Forschungsmuseum Alexander Koenig, Zentrum für Molekulare Biodiversitätsforschung (zmb), Bonn, Germany
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Zhao L, Zhang N, Ma PF, Liu Q, Li DZ, Guo ZH. Phylogenomic analyses of nuclear genes reveal the evolutionary relationships within the BEP clade and the evidence of positive selection in Poaceae. PLoS One 2013; 8:e64642. [PMID: 23734211 PMCID: PMC3667173 DOI: 10.1371/journal.pone.0064642] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Accepted: 04/16/2013] [Indexed: 11/23/2022] Open
Abstract
BEP clade of the grass family (Poaceae) is composed of three subfamilies, i.e. Bambusoideae, Ehrhartoideae, and Pooideae. Controversies on the phylogenetic relationships among three subfamilies still persist in spite of great efforts. However, previous evidence was mainly provided from plastid genes with only a few nuclear genes utilized. Given different evolutionary histories recorded by plastid and nuclear genes, it is indispensable to uncover their relationships based on nuclear genes. Here, eleven species with whole-sequenced genome and six species with transcriptomic data were included in this study. A total of 121 one-to-one orthologous groups (OGs) were identified and phylogenetic trees were reconstructed by different tree-building methods. Genes which might have undergone positive selection and played important roles in adaptive evolution were also investigated from 314 and 173 one-to-one OGs in two bamboo species and 14 grass species, respectively. Our results support the ((B, P) E) topology with high supporting values. Besides, our findings also indicate that 24 and nine orthologs with statistically significant evidence of positive selection are mainly involved in abiotic and biotic stress response, reproduction and development, plant metabolism and enzyme etc. from two bamboo species and 14 grass species, respectively. In summary, this study demonstrates the power of phylogenomic approach to shed lights on the evolutionary relationships within the BEP clade, and offers valuable insights into adaptive evolution of the grass family.
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Affiliation(s)
- Lei Zhao
- Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- Plant Germplasm and Genomics Center, Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ning Zhang
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Peng-Fei Ma
- Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- Plant Germplasm and Genomics Center, Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Qi Liu
- Institute of Genomic Medicine, Wenzhou Medical College, Wenzhou, Zhejiang, China
| | - De-Zhu Li
- Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- Plant Germplasm and Genomics Center, Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhen-Hua Guo
- Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- Plant Germplasm and Genomics Center, Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
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