Literature DB >> 33242465

A repeatable and quantitative DNA metabarcoding assay to characterize mixed strongyle infections in horses.

Jocelyn Poissant1, Stefan Gavriliuc2, Jennifer Bellaw3, Elizabeth M Redman4, Russell W Avramenko4, David Robinson5, Matthew L Workentine5, Todd K Shury6, Emily J Jenkins7, Philip D McLoughlin8, Martin K Nielsen3, John S Gilleard4.   

Abstract

Horses are ubiquitously infected by a diversity of gastro-intestinal parasitic helminths. Of particular importance are nematodes of the family Strongylidae, which can significantly impact horse health and performance. However, knowledge about equine strongyles remains limited due to our inability to identify most species non-invasively using traditional morphological techniques. We developed a new internal transcribed spacer 2 (ITS2) DNA metabarcoding 'nemabiome' assay to characterise mixed strongyle infections in horses and assessed its performance by applying it to pools of infective larvae from fecal samples from an experimental herd in Kentucky, USA and two feral horse populations from Sable Island and Alberta, Canada. In addition to reporting the detection of 33 different species with high confidence, we illustrate the assay's repeatability by comparing results generated from aliquots from the same fecal samples and from individual horses sampled repeatedly over multiple days or months. We also validate the quantitative potential of the assay by demonstrating that the proportion of amplicon reads assigned to different species scales linearly with the number of larvae present. This new tool significantly improves equine strongyle diagnostics, presenting opportunities for research on species-specific anthelmintic resistance and the causes and consequences of variation in mixed infections.
Copyright © 2020 Australian Society for Parasitology. All rights reserved.

Entities:  

Keywords:  Cyathostomin; Diagnostic; Host-parasite interaction; Nemabiome; Nematode; Parasitology

Year:  2020        PMID: 33242465     DOI: 10.1016/j.ijpara.2020.09.003

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  4 in total

1.  Characterizing parasitic nematode faunas in faeces and soil using DNA metabarcoding.

Authors:  Marie Louise Davey; Kjersti Selstad Utaaker; Frode Fossøy
Journal:  Parasit Vectors       Date:  2021-08-21       Impact factor: 3.876

Review 2.  Worms and bugs of the gut: the search for diagnostic signatures using barcoding, and metagenomics-metabolomics.

Authors:  Marina Papaiakovou; D Timothy J Littlewood; Stephen R Doyle; Robin B Gasser; Cinzia Cantacessi
Journal:  Parasit Vectors       Date:  2022-04-01       Impact factor: 3.876

3.  Large-herbivore nemabiomes: patterns of parasite diversity and sharing.

Authors:  Georgia C Titcomb; Johan Pansu; Matthew C Hutchinson; Kaia J Tombak; Christina B Hansen; Christopher C M Baker; Tyler R Kartzinel; Hillary S Young; Robert M Pringle
Journal:  Proc Biol Sci       Date:  2022-05-11       Impact factor: 5.530

4.  Estimation of the impact of three different bioinformatic pipelines on sheep nemabiome analysis.

Authors:  Paulius Baltrušis; Peter Halvarsson; Johan Höglund
Journal:  Parasit Vectors       Date:  2022-08-11       Impact factor: 4.047

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.