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Journal ArticleDOI

Genetic and morphological approaches distinguish the three sibling species of the Anisakis simplex species complex, with a species designation as Anisakis berlandi n. sp. for A. simplex sp. C (Nematoda: Anisakidae).

TLDR
The morphological and morphometric analyses revealed the presence of morphological features that differed among the 3 biological species, and the tree topologies support the finding that A. simplex (s.s.), A. pegreffii, and A. berlandi n.
Abstract
Numerous specimens of the 3 sibling species of the Anisakis simplex species complex (A. pegreffii, A. simplex (senso stricto)), and A. simplex sp. C) recovered from cetacean species stranded within the known geographical ranges of these nematodes were studied morphologically and genetically. The genetic characterization was performed on diagnostic allozymes and sequences analysis of nuclear (internal transcribed spacer [ITS] of ribosomal [r]DNA) and mitochondrial (mitochondrial [mt]DNA cox2 and rrnS) genes. These markers showed (1) the occurrence of sympatry of the 2 sibling species A. pegreffii and A. simplex sp. C in the same individual host, the pilot whale, Globicephala melas Traill, from New Zealand waters; (2) the identification of specimens of A. pegreffii in the striped dolphin, Stenella coeruleoalba (Meyen), from the Mediterranean Sea; and (3) the presence of A. simplex (s.s.) in the pilot whale and the minke whale, Balaenoptera acutorostrata Lacepede, from the northeastern Atlantic wa...

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Integrative taxonomy of anisakid nematodes in stranded cetaceans from Brazilian waters: an update on parasite’s hosts and geographical records

TL;DR: The results clearly indicated that the preservation of nematodes influenced significantly on the level of taxonomic definition, in both morphological and, mainly, genetic analyses.
Journal ArticleDOI

Validation of the TrichinEasy® digestion system for the detection of Anisakidae larvae in fish products.

TL;DR: A new Anisakidae larvae detection method using a mechanical digestion system called Trichineasy® was developed and the results confirm this instrumentation as a valuable and safe tool for the detection of AnisAKidae larvae in fishery products.
Journal ArticleDOI

Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas

TL;DR: The information provided in this work could be used in early warning systems for the detection of parasites in fishery products and might help fishing industries in establishing management strategies for infected stocks in terms of cost saving decisions.
Journal ArticleDOI

Air-dried stockfish of Northeast Arctic cod do not carry viable anisakid nematodes

TL;DR: The results suggest that there is a negligible risk of acquiring anisakidosis from consumption of air-dried stockfish, and drying could represent an alternative and efficient treatment for the inactivation of anisAKids in fishery products.
Journal ArticleDOI

Recent increase of ulcerative lesions caused by Anisakis spp. in cetaceans from the north-east Atlantic

TL;DR: A strong increase of prevalence, abundance and extension of ulcerative lesions in most cetacean species is found, although it cannot rule out that a higher environmental stress has also boosted the pathological effects of these parasites.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

Confidence limits on phylogenies: an approach using the bootstrap.

TL;DR: The recently‐developed statistical method known as the “bootstrap” can be used to place confidence intervals on phylogenies and shows significant evidence for a group if it is defined by three or more characters.
Book

Principal Component Analysis

TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
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