Ahmadzadeh Faraham, Flecks Morris, Carretero Miguel A, Mozaffari Omid, Böhme Wolfgang, Harris D James, Freitas Susana, Rödder Dennis
Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran ; Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany.
PLoS One. 2013 Dec 4;8(12):e80563. doi: 10.1371/journal.pone.0080563. eCollection 2013.
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.
传统上,物种识别仅基于类型学或定量的形态差异,而现在有几种新开发的方法可用于更客观和综合的物种界定方法。在处理隐存物种或物种复合体时,这一点可能尤为重要,因为物种之间总体相似性高,同时种群内形态变异相对较大。岩蜥属(Darevskia)就是这样一个例子,因为它的许多成员几乎没有诊断性的形态特征。在此,我们结合遗传、形态和生态标准,对分布在伊朗北部的两个物种复合体——绿腹岩蜥(D. chlorogaster)和德氏岩蜥(D. defilippii)中的隐存物种进行界定。我们的分析基于来自两个核基因和两个线粒体基因的分子信息、形态数据(15个形态测量、16个分节和4个分类特征)以及11个新计算的空间环境预测因子。对岩蜥属推断的系统发育证实了每个物种复合体的单系性,每个复合体都包含几个高度分化的分支,特别是与其他同属物种相比。我们在每个复合体中鉴定出7个候选物种,其中分别有3个和4个物种在绿腹岩蜥和德氏岩蜥复合体中得到贝叶斯物种界定的支持。通过遗传确定的分支进行训练,生态位建模为这些隐存物种提供了额外的支持。特别是德氏岩蜥复合体中的那些物种表现出分化良好的生态位。由于总体形态相似,在第一种方法中,混合变量的主成分分析仅显示了两个复合体之间的分离。然而,当样本量足够大时,即绿腹岩蜥复合体中,对两个复合体分别进行的多变量协方差分析和随后的判别分析能够区分物种。总之,结果支持本文描述的4个新物种。