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Nematodes and trematodes associated with terrestrial gastropods in Nottingham, England

Published online by Cambridge University Press:  02 November 2022

P. S. Andrus
Affiliation:
School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, UK
R. Rae
Affiliation:
School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
C. M. Wade*
Affiliation:
School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, UK
*
Author for correspondence: C. M. Wade, E-mail: chris.wade@nottingham.ac.uk
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Abstract

A parasitological survey of terrestrial slugs and snails was conducted at popular dog walking locations across the city of Nottingham, with the intensions of finding gastropods infected with parasites of medical (or veterinary) importance such as lungworm (metastrongyloid nematodes) and trematodes. A total of 800 gastropods were collected from 16 sites over a 225 km2 area. The extracted nematodes and trematodes were identified by molecular barcoding. Of the 800 gastropods collected, 227 were infected (172 had nematode infections, 37 had trematode infections and 18 had both nematode and trematode infections). Of the nematode infected gastropods genotyped, seven species were identified, Agfa flexilis, Angiostoma gandavense, Angiostoma margaretae, Cosmocerca longicauda, Phasmarhabditis hermaphrodita, Phasmarhabditis neopapillosa and an unknown Cosmocercidae species. Of the trematode infected gastropods genotyped, four species were identified, Brachylaima arcuate, Brachylaima fuscata, Brachylaima mesostoma and an unknown Plagiorchioidea species. No lungworm species were found within the city of Nottingham. To our knowledge, this study represents the first survey of gastropod-associated nematodes and trematodes in the East midlands of the United Kingdom.

Information

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Collection sites surveyed across the city of Nottingham and surrounding areas.

Figure 1

Fig. 1. Map of collection sites (n = 16) across the city of Nottingham and surrounding areas (Google 2022).

Figure 2

Table 2. Gastropods collected and details of number of nematode and trematode (metacercariae) infections.

Figure 3

Fig. 2. Map of collection sites (n = 16) across the city of Nottingham and surrounding areas showing infection rates at each collection site. White = uninfected, grey = nematode infection, dark grey = trematode infection and black = nematode/trematode co-infection (Google 2022).

Figure 4

Table 3. Infection rate of collected gastropods (n = 50) at each site across the city of Nottingham and surrounding areas.

Figure 5

Table 4. BLAST-MOLE results (ranked by E-value) for grouped nematode (groups A–D) and trematode (groups E–F) sequences with their top five closest references.

Figure 6

Fig. 3. Maximum likelihood phylogenetic trees of different nematode (trees A–D) and trematode (trees E–F) species using the ITS and 18S rRNA gene, respectively. Tree A was created using 325 base pairs (bp) of the ITS and is rooted on Amphibiophilus mooiensis. Tree B was created using 306 bp of the ITS and is rooted on A. mooiensis. Tree C was created using 402 bp of the ITS and is rooted on Paraspidodera uncinate. Tree D was created using 409 bp of the ITS and is rooted on A. mooiensis. Tree E was created using 450 bp of the 18S rRNA and is rooted on Michajlovia turdi. Tree F was created using 456 bp of the 18S rRNA and is rooted on Brachycladium goliath. All trees were generated using PhyML v3.1; the numbers on the branches indicate the bootstrap percentages for 1000 replicates (bootstrap values under 50% are not shown). The scale bar represents percentage sequence divergence. Differing alignment lengths are due to the limited length of GenBank references. Accession numbers for all sequences can be found in online supplementary table 3.

Supplementary material: File

Andrus et al. supplementary material

Tables S1-S4
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