Literature DB >> 28534454

Opportunities and challenges in metabarcoding approaches for helminth community identification in wild mammals.

Tuomas Aivelo1, Alan Medlar2.   

Abstract

Despite metabarcoding being widely used to analyse bacterial community composition, its application in parasitological research remains limited. What interest there has been has focused on previously intractable research settings where traditional methods are inappropriate, for example, in longitudinal studies and studies involving endangered species. In settings such as these, non-invasive sampling combined with metabarcoding can provide a fast and accurate assessment of component communities. In this paper we review the use of metabarcoding in the study of helminth communities in wild mammals, outlining the necessary procedures from sample collection to statistical analysis. We highlight the limitations of the metabarcoding approach and speculate on what type of parasitological study would benefit from such methods in the future.

Keywords:  cestodes; community ecology; genetic identification; high-throughtput sequencing; mammals; nematodes

Mesh:

Substances:

Year:  2017        PMID: 28534454     DOI: 10.1017/S0031182017000610

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  9 in total

Review 1.  A Review of Non-Invasive Sampling in Wildlife Disease and Health Research: What's New?

Authors:  Anna-Katarina Schilling; Maria Vittoria Mazzamuto; Claudia Romeo
Journal:  Animals (Basel)       Date:  2022-07-02       Impact factor: 3.231

2.  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

3.  Helminths of urban rats in developed countries: a systematic review to identify research gaps.

Authors:  Diana S Gliga; Benoît Pisanu; Chris Walzer; Amélie Desvars-Larrive
Journal:  Parasitol Res       Date:  2020-06-30       Impact factor: 2.289

4.  Lurking in the dark: Cryptic Strongyloides in a Bornean slow loris.

Authors:  Liesbeth Frias; Danica J Stark; Milena Salgado Lynn; Senthilvel Kss Nathan; Benoit Goossens; Munehiro Okamoto; Andrew J J MacIntosh
Journal:  Int J Parasitol Parasites Wildl       Date:  2018-03-22       Impact factor: 2.674

5.  Metabarcoding in two isolated populations of wild roe deer (Capreolus capreolus) reveals variation in gastrointestinal nematode community composition between regions and among age classes.

Authors:  Camille Beaumelle; Elizabeth M Redman; John S Gilleard; Gilles Bourgoin; Jill de Rijke; Janneke Wit; Slimania Benabed; François Debias; Jeanne Duhayer; Sylvia Pardonnet; Marie-Thérèse Poirel; Gilles Capron; Stéphane Chabot; Benjamin Rey; Glenn Yannic
Journal:  Parasit Vectors       Date:  2021-12-04       Impact factor: 3.876

Review 6.  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

7.  Sensitive and accurate DNA metabarcoding of parasitic helminth mock communities using the mitochondrial rRNA genes.

Authors:  Abigail Hui En Chan; Naowarat Saralamba; Sompob Saralamba; Jiraporn Ruangsittichai; Kittipong Chaisiri; Yanin Limpanont; Vachirapong Charoennitiwat; Urusa Thaenkham
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

8.  Characterization of ecto- and endoparasite communities of wild Mediterranean teleosts by a metabarcoding approach.

Authors:  Mathilde Scheifler; Magdalena Ruiz-Rodríguez; Sophie Sanchez-Brosseau; Elodie Magnanou; Marcelino T Suzuki; Nyree West; Sébastien Duperron; Yves Desdevises
Journal:  PLoS One       Date:  2019-09-10       Impact factor: 3.240

9.  Temporal dynamics of freshwater planktonic parasites inferred using a DNA metabarcoding time-series.

Authors:  Kingsly C Beng; Justyna Wolinska; Elisabeth Funke; Silke Van den Wyngaert; Alena S Gsell; Michael T Monaghan
Journal:  Parasitology       Date:  2021-07-19       Impact factor: 3.234

  9 in total

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