Evidence map›Paper›PMID 29651122›Full record

ArticleScientific reports2018

Metabarcoding analysis of strongylid nematode diversity in two sympatric primate species.

Barbora Pafčo, Dagmar Čížková, Jakub Kreisinger, Hideo Hasegawa, Peter Vallo, Kathryn Shutt, Angelique Todd, Klára J Petrželková, David Modrý

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Barbora PafčoDepartment 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.ORCID 0000-0003-1395-0841
Dagmar ČížkováThe Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
Jakub KreisingerThe Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
Hideo HasegawaDepartment of Infectious Disease Control, Oita University School of Medicine, 1-1 Idaigaoka, Hasama, Yufu, Oita, 879-5593, Japan.
Peter ValloThe Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
Kathryn ShuttFauna & Flora International, Pembroke St, Cambridge, CB2 3QZ, United Kingdom.
Angelique ToddWWF-CAR, Bangui, Central African Republic.
Klára J PetrželkováThe Czech Academy of Sciences, Institute of Vertebrate Biology, Květná 8, Brno, 603 65, Czech Republic.
David ModrýDepartment of Pathology and Parasitology, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences Brno, Palackého tř. 1946/1, 612 42, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DNA Barcoding, TaxonomicAnimalsFecesGenetic VariationHigh-Throughput Nucleotide SequencingHorse DiseasesHorsesInterspersed Repetitive SequencesStrongylidaStrongylida InfectionsSympatry

Identifiers

PMID29651122
PMCPMC5897349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.