Unexpected layers of cryptic diversity in wood white Leptidea butterflies
Vlad Dincă,
Vladimir A. Lukhtanov,
Gerard Talavera and
Roger Vila ()
Additional contact information
Vlad Dincă: Institut de Biologia Evolutiva (CSIC-UPF)
Vladimir A. Lukhtanov: Zoological Institute of Russian Academy of Science, Universitetskaya nab. 1
Gerard Talavera: Institut de Biologia Evolutiva (CSIC-UPF)
Roger Vila: Institut de Biologia Evolutiva (CSIC-UPF)
Nature Communications, 2011, vol. 2, issue 1, 1-8
Abstract:
Abstract Uncovering cryptic biodiversity is essential for understanding evolutionary processes and patterns of ecosystem functioning, as well as for nature conservation. As European butterflies are arguably the best-studied group of invertebrates in the world, the discovery of a cryptic species, twenty years ago, within the common wood white Leptidea sinapis was a significant event, and these butterflies have become a model to study speciation. Here we show that the so-called 'sibling' Leptidea actually consist of three species. The new species can be discriminated on the basis of either DNA or karyological data. Such an unexpected discovery challenges our current knowledge on biodiversity, exemplifying how a widespread species can remain unnoticed even within an intensely studied natural model system for speciation.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms1329 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1329
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms1329
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().