Authors

Geoffrey M. Attardo, University of California, Davis
Adly M. M. Abd-Alla, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture
Alvaro Acosta-Serrano, Liverpool School of Tropical Medicine
James E. Allen, European Bioinformatics Institute (EMBL-EBI)
Rosemary Bateta, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization
Joshua B. Benoit, University of Cincinnati
Kostas Bourtzis, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture
Jelle Caers, Functional Genomics and Proteomics Group, KU Leuven
Guy Caljon, University of Antwerp
Mikkel B. Christensen, European Bioinformatics Institute (EMBL-EBI)
David W. Farrow, University of Cincinnati
Markus Friedrich, Wayne State University
Aurélie Hua-Van, Univ. Paris-Sud, Université Paris-Saclay
Emily C. Jennings, University of Cincinnati
Denis M. Larkin, Royal Veterinary College, London
Daniel Lawson, Imperial College London
Michael J. Lehane, Liverpool School of Tropical Medicine
Vasileios P. Lenis, University of Plymouth
Ernesto Lowy-Gallego, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
Rosaline W. Macharia, International Center for Insect Physiology and Ecology
Anna R. Malacrida, University of Pavia
Heather G. Marco, University of Cape Town
Daniel Masiga, International Center for Insect Physiology and Ecology
Gareth L. Maslen, European Bioinformatics Institute (EMBL-EBI)
Irina Matetovic, Institute of Tropical Medicine
Richard P. Meisel, University of Houston
Irene Meki, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture
Veronika Michalkova, Florida International University
Wolfgang J. Miller, Medical University of Vienna
Patrick Minx, Washington University School of Medicine
Paul O. Mireji, iotechnology Research Institute - Kenya Agricultural and Livestock Research Organization
Lino Ometto, Research and Innovation Centre, Fondazione Edmund Mach, University of Pavia
Andrew G. Parker, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture
Rita Rio, West Virginia University
Clair Rose, Liverpool School of Tropical Medicine
Andrew J. Rosendale, Mount St. Joseph University, University of Cincinnati
Omar Rota-Stabelli, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige
Grazia Savini, University of Pavia
Liliane Schoofs, Functional Genomics and Proteomics Group, KU Leuven
Francesca Scolari, University of Pavia
Martin T. Swain, Aberystwyth University
Peter Takáč, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
Chad Tomlinson, Washington University School of Medicine in St. Louis
George Tsiamis, University of Patras
Jan Van Abbeele, Institute of Tropical Medicine
Aurelien Vigneron, Yale School of Public Health
Jingwen Wang, Fudan University
Wesley C. Warren, Washington University School of Medicine in St. Louis
Robert M. Waterhouse, University of Lausanne
Mathew T. Weirauch, Cincinnati Children’s Hospital Medical Center
Brian L. Weiss, Yale School of Public Health
Richard K. Wilson, Washington University School of Medicine in St. Louis
Xin Zhao, Chinese Academy of Sciences
Serap Aksoy, Yale School of Public Health

Document Type

Article

Publication Date

2019

Department/Program/Center

Biology

Abstract

Background: Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout subSaharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. Results: Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Visionassociated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. Conclusions: Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.

Source Citation

Attardo, G. M., Abd-Alla, A. M. M., Acosta-Serrano, A., Allen, J. E., Bateta, R., Benoit, J. B., Bourtzis, K., Caers, J., Caljon, G., Christensen, M. B., Farrow, D. W., Friedrich, M., Hua-Van, A., Jennings, E. C., Larkin, D. M., Lawson, D., Lehane, M. J., Lenis, V. P., Lowy-Gallego, E., … Aksoy, S. (2019). Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biology, 20(1). https://doi.org/10.1186/s13059-019-1768-2

Comments

© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated

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