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Metabarcoding analysis of strongylid nematode diversity in two sympatric primate species

B. Pafčo, D. Čížková, J. Kreisinger, H. Hasegawa, P. Vallo, K. Shutt, A. Todd, KJ. Petrželková, D. Modrý,

. 2018 ; 8 (1) : 5933. [pub] 20180412

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc19045493

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.

Citace poskytuje Crossref.org

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$a Pafčo, Barbora $u Department of Pathology and Parasitology, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences Brno, Palackého tř. 1946/1, 612 42, Brno, Czech Republic. barafrikacar@gmail.com.
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$a 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.
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$a Čížková, Dagmar $u The Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
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$a Kreisinger, Jakub $u The Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic. Department of Zoology, Faculty of Science, Charles University, Viničná 7, Praha, 128 44, Czech Republic.
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$a Hasegawa, Hideo $u Department of Infectious Disease Control, Oita University School of Medicine, 1-1 Idaigaoka, Hasama, Yufu, Oita, 879-5593, Japan.
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$a Vallo, Peter $u The Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
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$a Petrželková, Klára J $u The Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic. The Czech Academy of Sciences, Institute of Parasitology, Branišovská 31, České Budějovice, 370 05, Czech Republic.
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$a Modrý, David $u Department of Pathology and Parasitology, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences Brno, Palackého tř. 1946/1, 612 42, Brno, Czech Republic. The Czech Academy of Sciences, Institute of Parasitology, Branišovská 31, České Budějovice, 370 05, Czech Republic. Central European Institute for Technology (CEITEC), University of Veterinary and Pharmaceutical Sciences Brno, Palackého tř. 1946/1, 612 42, Brno, Czech Republic.
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