Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy

While traditionally species recognition has been based solely on morphological differences either typological or quantitative, several newly developed methods can be used for a more objective and integrative approach on species delimitation. This may be especially relevant when dealing with cryptic...

Full description

Bibliographic Details
Main Authors: Ahmadzadeh, Faraham, Flecks, Morris, Carretero, Miguel A., Mozaffari, Omid, Böhme, Wolfgang, Harris, D. James, Freitas, Susana, Rödder, Dennis
Format: Online
Language:English
Published: Public Library of Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851173/
id pubmed-3851173
recordtype oai_dc
spelling pubmed-38511732013-12-09 Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy Ahmadzadeh, Faraham Flecks, Morris Carretero, Miguel A. Mozaffari, Omid Böhme, Wolfgang Harris, D. James Freitas, Susana Rödder, Dennis Research Article While traditionally species recognition has been based solely on morphological differences either typological or quantitative, several newly developed methods can be used for a more objective and integrative approach on species delimitation. This may be especially relevant when dealing with cryptic species or species complexes, where high overall resemblance between species is coupled with comparatively high morphological variation within populations. Rock lizards, genus Darevskia, are such an example, as many of its members offer few diagnostic morphological features. Herein, we use a combination of genetic, morphological and ecological criteria to delimit cryptic species within two species complexes, D. chlorogaster and D. defilippii, both distributed in northern Iran. Our analyses are based on molecular information from two nuclear and two mitochondrial genes, morphological data (15 morphometric, 16 meristic and four categorical characters) and eleven newly calculated spatial environmental predictors. The phylogeny inferred for Darevskia confirmed monophyly of each species complex, with each of them comprising several highly divergent clades, especially when compared to other congeners. We identified seven candidate species within each complex, of which three and four species were supported by Bayesian species delimitation within D. chlorogaster and D. defilippii, respectively. Trained with genetically determined clades, Ecological Niche Modeling provided additional support for these cryptic species. Especially those within the D. defilippii-complex exhibit well-differentiated niches. Due to overall morphological resemblance, in a first approach PCA with mixed variables only showed the separation between the two complexes. However, MANCOVA and subsequent Discriminant Analysis performed separately for both complexes allowed for distinction of the species when sample size was large enough, namely within the D. chlorogaster-complex. In conclusion, the results support four new species, which are described herein. Public Library of Science 2013-12-04 /pmc/articles/PMC3851173/ /pubmed/24324611 http://dx.doi.org/10.1371/journal.pone.0080563 Text en © 2013 Ahmadzadeh et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Ahmadzadeh, Faraham
Flecks, Morris
Carretero, Miguel A.
Mozaffari, Omid
Böhme, Wolfgang
Harris, D. James
Freitas, Susana
Rödder, Dennis
spellingShingle Ahmadzadeh, Faraham
Flecks, Morris
Carretero, Miguel A.
Mozaffari, Omid
Böhme, Wolfgang
Harris, D. James
Freitas, Susana
Rödder, Dennis
Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
author_facet Ahmadzadeh, Faraham
Flecks, Morris
Carretero, Miguel A.
Mozaffari, Omid
Böhme, Wolfgang
Harris, D. James
Freitas, Susana
Rödder, Dennis
author_sort Ahmadzadeh, Faraham
title Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
title_short Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
title_full Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
title_fullStr Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
title_full_unstemmed Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
title_sort cryptic speciation patterns in iranian rock lizards uncovered by integrative taxonomy
description While traditionally species recognition has been based solely on morphological differences either typological or quantitative, several newly developed methods can be used for a more objective and integrative approach on species delimitation. This may be especially relevant when dealing with cryptic species or species complexes, where high overall resemblance between species is coupled with comparatively high morphological variation within populations. Rock lizards, genus Darevskia, are such an example, as many of its members offer few diagnostic morphological features. Herein, we use a combination of genetic, morphological and ecological criteria to delimit cryptic species within two species complexes, D. chlorogaster and D. defilippii, both distributed in northern Iran. Our analyses are based on molecular information from two nuclear and two mitochondrial genes, morphological data (15 morphometric, 16 meristic and four categorical characters) and eleven newly calculated spatial environmental predictors. The phylogeny inferred for Darevskia confirmed monophyly of each species complex, with each of them comprising several highly divergent clades, especially when compared to other congeners. We identified seven candidate species within each complex, of which three and four species were supported by Bayesian species delimitation within D. chlorogaster and D. defilippii, respectively. Trained with genetically determined clades, Ecological Niche Modeling provided additional support for these cryptic species. Especially those within the D. defilippii-complex exhibit well-differentiated niches. Due to overall morphological resemblance, in a first approach PCA with mixed variables only showed the separation between the two complexes. However, MANCOVA and subsequent Discriminant Analysis performed separately for both complexes allowed for distinction of the species when sample size was large enough, namely within the D. chlorogaster-complex. In conclusion, the results support four new species, which are described herein.
publisher Public Library of Science
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851173/
_version_ 1612034536162459648