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Metabarcoding analysis of strongylid nematode diversity in two sympatric primate species

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    0498784 - BC 2019 RIV GB eng J - Článek v odborném periodiku
    Pafčo, B. - Čížková, D. - Kreisinger, J. - Hasegawa, H. - Vallo, P. - Shutt, K. - Todd, A. - Petrželková, Klára Judita - Modrý, David
    Metabarcoding analysis of strongylid nematode diversity in two sympatric primate species.
    Scientific Reports. Roč. 8, APR 12 (2018), č. článku 5933. ISSN 2045-2322
    Institucionální podpora: RVO:60077344
    Kód oboru RIV: GJ - Choroby a škůdci zvířat, veterinární medicína
    Obor OECD: Veterinary science
    Impakt faktor: 4.011, rok: 2018

    Strongylid nematodes in large terrestrial herbivores such as great apes, equids, elephants, and humans tend to occur in complex communities. However, identification of all species within strongylid communities using traditional methods based on coproscopy or single nematode amplification and sequencing is virtually impossible. High-throughput sequencing (HTS) technologies provide opportunities to generate large amounts of sequence data and enable analyses of samples containing a mixture of DNA from multiple species/genotypes. We designed and tested an HTS approach for strain-level identification of gastrointestinal strongylids using ITS-2 metabarcoding at the MiSeq Illumina platform in samples from two free-ranging non-human primate species inhabiting the same environment, but differing significantly in their host traits and ecology. Although we observed overlapping of particular haplotypes, overall the studied primate species differed in their strongylid nematode community composition. Using HTS, we revealed hidden diversity in the strongylid nematode communities in non-human primates, more than one haplotype was found in more than 90% of samples and coinfections of more than one putative species occurred in 80% of samples. In conclusion, the HTS approach on strongylid nematodes, preferably using fecal samples, represents a time and cost-efficient way of studying strongylid communities and provides a resolution superior to traditional approaches.
    Trvalý link: http://hdl.handle.net/11104/0291061
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