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ZENODO
Conference object . 2009
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2009
License: CC BY
Data sources: ZENODO
Claim

Distinguishing Species In Paramacrobiotus (Tardigrada, Macrobiotidae) Via Compensatory Base Change Analysis Of Internal Transcribed Spacer 2 Secondary Structures

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 03 Mar 2009Publisher:Zenodo
Authors: Förster, Frank; Keller, Alexander; Schill, Ralph O.; Dandekar, Thomas; Wolf, Matthias;

doi: 10.5281/zenodo.265925

Distinguishing Species In Paramacrobiotus (Tardigrada, Macrobiotidae) Via Compensatory Base Change Analysis Of Internal Transcribed Spacer 2 Secondary Structures

Abstract

Morphologically almost identical organisms classified within Paramacrobiotus (Tardigrada) could be distinguished via an analysis of internal transcribed spacer 2 (ITS2) secondary structures. Sequences of five samples from four different continents were determined, annotated and their secondary structures predicted. A tree based on a combined sequence-structure alignment was reconstructed by Profile Neighbor-Joining. The topology obtained is consistent with a tree based on a distance matrix of compensatory base changes (CBCs) between all ITS2 sequence-structure pairs in the global multiple alignment. Recently it was shown that with 93% confidence a CBC can be used to distinguish species. Therefore the CBC analysis indicates that Paramacrobiotus consists of at least three sibling species distinguishable with molecular evidence.

The Project www.FUNCRYPTA.de is funded by the German Federal Ministry of Education and Research, BMBF (0313838)

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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