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An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs
Parasitic castration of bivalves by trematodes is common, and may significantly reduce the reproductive capacity of ecologically important species. Understanding the intensity of infection is desirable, as it can indicate the time that has passed since infection, and influence the host's physio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477367/ https://www.ncbi.nlm.nih.gov/pubmed/32729439 http://dx.doi.org/10.1017/S0031182020001213 |
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author | Brian, Joshua I. Aldridge, David C. |
author_facet | Brian, Joshua I. Aldridge, David C. |
author_sort | Brian, Joshua I. |
collection | PubMed |
description | Parasitic castration of bivalves by trematodes is common, and may significantly reduce the reproductive capacity of ecologically important species. Understanding the intensity of infection is desirable, as it can indicate the time that has passed since infection, and influence the host's physiological and reproductive response. In addition, it is useful to know the developmental stage of the trematode, to understand trematode population trends and reproductive success. However, most existing methods (e.g. visually estimating the degree of infection) to assess intensity are approximate only and not reproducible. Here, we present a method to accurately quantify the percentage of bivalve gonad filled with digenean trematode tissue, based on small squashes of gonad tissue rapidly photographed under light microscopy. A maximum of 15 photographs is required to determine the percentage of the whole gonad occupied by trematodes with a minimum of 90% confidence, with smaller mussels requiring fewer. In addition, the stage of trematode infection can be assessed because full sporocysts, spent sporocysts and free cercariae are clearly distinguishable. Although variation exists in the distribution of trematodes in gonad tissue, and thus in the estimate of percentage of the gonad filled with trematodes, this method represents a marked improvement on current coarse assessments of infection which typically focus on binary presence/absence measures. This technique can be used to facilitate a more sophisticated understanding of host–parasite interactions in bivalves, and can inform the conservation and reproductive biology of environmentally crucial species. |
format | Online Article Text |
id | pubmed-7477367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74773672020-09-17 An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs Brian, Joshua I. Aldridge, David C. Parasitology Research Article Parasitic castration of bivalves by trematodes is common, and may significantly reduce the reproductive capacity of ecologically important species. Understanding the intensity of infection is desirable, as it can indicate the time that has passed since infection, and influence the host's physiological and reproductive response. In addition, it is useful to know the developmental stage of the trematode, to understand trematode population trends and reproductive success. However, most existing methods (e.g. visually estimating the degree of infection) to assess intensity are approximate only and not reproducible. Here, we present a method to accurately quantify the percentage of bivalve gonad filled with digenean trematode tissue, based on small squashes of gonad tissue rapidly photographed under light microscopy. A maximum of 15 photographs is required to determine the percentage of the whole gonad occupied by trematodes with a minimum of 90% confidence, with smaller mussels requiring fewer. In addition, the stage of trematode infection can be assessed because full sporocysts, spent sporocysts and free cercariae are clearly distinguishable. Although variation exists in the distribution of trematodes in gonad tissue, and thus in the estimate of percentage of the gonad filled with trematodes, this method represents a marked improvement on current coarse assessments of infection which typically focus on binary presence/absence measures. This technique can be used to facilitate a more sophisticated understanding of host–parasite interactions in bivalves, and can inform the conservation and reproductive biology of environmentally crucial species. Cambridge University Press 2020-10 2020-07-30 /pmc/articles/PMC7477367/ /pubmed/32729439 http://dx.doi.org/10.1017/S0031182020001213 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/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 in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Brian, Joshua I. Aldridge, David C. An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title | An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title_full | An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title_fullStr | An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title_full_unstemmed | An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title_short | An efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
title_sort | efficient photograph-based quantitative method for assessing castrating trematode parasites in bivalve molluscs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477367/ https://www.ncbi.nlm.nih.gov/pubmed/32729439 http://dx.doi.org/10.1017/S0031182020001213 |
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