A new R package and web application for detecting bilateral asymmetry in parasitic infections
Language English Country Czech Republic Media electronic
Document type Journal Article
PubMed
27976627
DOI
10.14411/fp.2016.039
PII: 2016.039
Knihovny.cz E-resources
- Keywords
- Diplostomum, Gymnocephalus cernua, Trematoda, bilateral asymmetry, fish, ruffe, software, statistical analysis,
- MeSH
- Trematode Infections parasitology pathology MeSH
- Data Interpretation, Statistical MeSH
- Metacercariae physiology MeSH
- Fish Diseases parasitology pathology MeSH
- Perches parasitology MeSH
- Software * MeSH
- Trematoda physiology MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
When parasites invade paired structures of their host non-randomly, the resulting asymmetry may have both pathological and ecological significance. To facilitate the detection and visualisation of asymmetric infections we have developed a free software tool, Analysis of Symmetry of Parasitic Infections (ASPI). This tool has been implemented as an R package (https://cran.r-project.org/package=aspi) and a web application (https://wayland.shinyapps.io/aspi). ASPI can detect both consistent bias towards one side, and inconsistent bias in which the left side is favoured in some hosts and the right in others. Application of ASPI is demonstrated using previously unpublished data on the distribution of metacercariae of species of Diplostomum von Nordmann, 1832 in the eyes of ruffe Gymnocephalus cernua (Linnaeus). Invasion of the lenses appeared to be random, with the proportion of metacercariae in the left and right lenses showing the pattern expected by chance. However, analysis of counts of metacercariae from the humors, choroid and retina revealed asymmetry between eyes in 38% of host fish.
References provided by Crossref.org