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    Uncovering genomic regions associated with trypanosoma infections in wild populations of the tsetse fly Glossina fuscipes

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    Name:
    Uncovering Genomic Regions ...
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    Genre
    Journal Article
    Date
    2018-03-01
    Author
    Gloria-Soria, A
    Augustine Dunn, W
    Yu, X
    Vigneron, A
    Lee, KY
    Li, M
    Weiss, BL
    Zhao, H
    Aksoy, S
    Caccone, A
    Subject
    Trypanosoma
    gene–phenotype association in tsetse flies
    population genomics
    sleeping sickness
    Animals
    Chromosome Mapping
    Computational Biology
    Gene Expression Profiling
    Genes, Insect
    Genetic Predisposition to Disease
    Genetic Variation
    Genome, Insect
    Genomics
    High-Throughput Nucleotide Sequencing
    Host-Pathogen Interactions
    Polymorphism, Single Nucleotide
    Transcriptome
    Trypanosoma
    Tsetse Flies
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    Permanent link to this record
    http://hdl.handle.net/20.500.12613/5107
    
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    DOI
    10.1534/g3.117.300493
    Abstract
    © 2018 Andrea et al. Vector-borne diseases are responsible for > 1 million deaths every year but genomic resources for most species responsible for their transmission are limited. This is true for neglected diseases such as sleeping sickness (Human African Trypanosomiasis), a disease caused by Trypanosoma parasites vectored by several species of tseste flies within the genus Glossina. We describe an integrative approach that identifies statistical associations between trypanosome infection status of Glossina fuscipes fuscipes (Gff ) flies from Uganda, for which functional studies are complicated because the species cannot be easily maintained in laboratory colonies, and ~73,000 polymorphic sites distributed across the genome. Then, we identify candidate genes involved in Gff trypanosome susceptibility by taking advantage of genomic resources from a closely related species, G. morsitans morsitans (Gmm). We compiled a comprehensive transcript library from 72 published and unpublished RNAseq experiments of trypanosome-infected and uninfected Gmm flies, and improved the current Gmm transcriptome assembly. This new assembly was then used to enhance the functional annotations on the Gff genome. As a consequence, we identified 56 candidate genes in the vicinity of the 18 regions associated with Trypanosoma infection status in Gff. Twenty-nine of these genes were differentially expressed (DE) among parasite-infected and uninfected Gmm, suggesting that their orthologs in Gff may correlate with disease transmission. These genes were involved in DNA regulation, neurophysiological functions, and immune responses. We highlight the power of integrating population and functional genomics from related species to enhance our understanding of the genetic basis of physiological traits, particularly in nonmodel organisms.
    Citation to related work
    Oxford University Press (OUP)
    Has part
    G3: Genes, Genomes, Genetics
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    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/5089
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