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Adaptive Radiation within Marine Anisakid Nematodes: A Zoogeographical Modeling of Cosmopolitan, Zoonotic Parasites

Overview of attention for article published in PLOS ONE, December 2011
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Title
Adaptive Radiation within Marine Anisakid Nematodes: A Zoogeographical Modeling of Cosmopolitan, Zoonotic Parasites
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028642
Pubmed ID
Authors

Thomas Kuhn, Jaime García-Màrquez, Sven Klimpel

Abstract

Parasites of the nematode genus Anisakis are associated with aquatic organisms. They can be found in a variety of marine hosts including whales, crustaceans, fish and cephalopods and are known to be the cause of the zoonotic disease anisakiasis, a painful inflammation of the gastro-intestinal tract caused by the accidental consumptions of infectious larvae raw or semi-raw fishery products. Since the demand on fish as dietary protein source and the export rates of seafood products in general is rapidly increasing worldwide, the knowledge about the distribution of potential foodborne human pathogens in seafood is of major significance for human health. Studies have provided evidence that a few Anisakis species can cause clinical symptoms in humans. The aim of our study was to interpolate the species range for every described Anisakis species on the basis of the existing occurrence data. We used sequence data of 373 Anisakis larvae from 30 different hosts worldwide and previously published molecular data (n = 584) from 53 field-specific publications to model the species range of Anisakis spp., using a interpolation method that combines aspects of the alpha hull interpolation algorithm as well as the conditional interpolation approach. The results of our approach strongly indicate the existence of species-specific distribution patterns of Anisakis spp. within different climate zones and oceans that are in principle congruent with those of their respective final hosts. Our results support preceding studies that propose anisakid nematodes as useful biological indicators for their final host distribution and abundance as they closely follow the trophic relationships among their successive hosts. The modeling might although be helpful for predicting the likelihood of infection in order to reduce the risk of anisakiasis cases in a given area.

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Geographical breakdown

Country Count As %
Brazil 2 2%
United States 2 2%
Germany 1 1%
Argentina 1 1%
Colombia 1 1%
Unknown 87 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 18%
Student > Master 16 17%
Student > Bachelor 15 16%
Student > Ph. D. Student 12 13%
Professor > Associate Professor 7 7%
Other 13 14%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 51%
Environmental Science 8 9%
Medicine and Dentistry 6 6%
Biochemistry, Genetics and Molecular Biology 6 6%
Psychology 3 3%
Other 7 7%
Unknown 16 17%