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Reverse Taxonomy for Elucidating Diversity of Insect-Associated Nematodes: A Case Study with Termites

Overview of attention for article published in PLOS ONE, August 2012
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Title
Reverse Taxonomy for Elucidating Diversity of Insect-Associated Nematodes: A Case Study with Termites
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043865
Pubmed ID
Authors

Natsumi Kanzaki, Robin M. Giblin-Davis, Rudolf H. Scheffrahn, Hisatomo Taki, Alejandro Esquivel, Kerrie A. Davies, E. Allen Herre

Abstract

The molecular operational taxonomic unit (MOTU) has recently been applied to microbial and microscopic animal biodiversity surveys. However, in many cases, some of the MOTUs cannot be definitively tied to any of the taxonomic groups in current databases. To surmount these limitations, the concept of "reverse taxonomy" has been proposed, i.e. to primarily list the MOTUs with morphological information, and then identify and/or describe them at genus/species level using subsamples or by re-isolating the target organisms. Nevertheless, the application of "reverse taxonomy" has not been sufficiently evaluated. Therefore, the practical applicability of "reverse taxonomy" is tested using termite-associated nematodes as a model system for phoretic/parasitic organisms which have high habitat specificity and a potential handle (their termite host species) for re-isolation attempts.

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The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
South Africa 1 2%
Brazil 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 11 18%
Student > Master 9 15%
Student > Bachelor 5 8%
Professor 4 7%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 62%
Environmental Science 6 10%
Biochemistry, Genetics and Molecular Biology 2 3%
Nursing and Health Professions 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 13 21%