Department of Biological Sciences, New York City College of Technology, The City University of New York, 300 Jay Street, Brooklyn, NY, 11201, USA.
Biology PhD Program, CUNY Graduate Center, 365 5th Avenue, New York, NY, 10016, USA.
Mol Ecol Resour. 2017 Nov;17(6):1168-1182. doi: 10.1111/1755-0998.12658. Epub 2017 Feb 27.
Biodiversity reduction and loss continues to progress at an alarming rate, and thus, there is widespread interest in utilizing rapid and efficient methods for quantifying and delimiting taxonomic diversity. Single-locus species delimitation methods have become popular, in part due to the adoption of the DNA barcoding paradigm. These techniques can be broadly classified into tree-based and distance-based methods depending on whether species are delimited based on a constructed genealogy. Although the relative performance of these methods has been tested repeatedly with simulations, additional studies are needed to assess congruence with empirical data. We compiled a large data set of mitochondrial ND4 sequences from horned lizards (Phrynosoma) to elucidate congruence using four tree-based (single-threshold GMYC, multiple-threshold GMYC, bPTP, mPTP) and one distance-based (ABGD) species delimitation models. We were particularly interested in cases with highly uneven sampling and/or large differences in intraspecific diversity. Results showed a high degree of discordance among methods, with multiple-threshold GMYC and bPTP suggesting an unrealistically high number of species (29 and 26 species within the P. douglasii complex alone). The single-threshold GMYC model was the most conservative, likely a result of difficulty in locating the inflection point in the genealogies. mPTP and ABGD appeared to be the most stable across sampling regimes and suggested the presence of additional cryptic species that warrant further investigation. These results suggest that the mPTP model may be preferable in empirical data sets with highly uneven sampling or large differences in effective population sizes of species.
生物多样性的减少和丧失仍在以惊人的速度持续,因此,人们广泛关注利用快速高效的方法来量化和划定分类多样性。单基因座物种界定方法变得流行起来,部分原因是 DNA 条形码范例的采用。这些技术可以根据物种是否根据构建的系统发育进行界定,大致分为基于树的方法和基于距离的方法。尽管这些方法的相对性能已经通过模拟进行了反复测试,但仍需要更多的研究来评估与经验数据的一致性。我们编译了大量角蜥蜴(Phrynosoma)的线粒体 ND4 序列数据集,以使用四种基于树的(单阈值 GMYC、多阈值 GMYC、bPTP、mPTP)和一种基于距离的(ABGD)物种界定模型阐明一致性。我们特别关注具有高度不均匀采样和/或种内多样性差异较大的情况。结果表明,方法之间存在高度不一致,多阈值 GMYC 和 bPTP 暗示了不切实际的高物种数量(仅在 P. douglasii 复合体中就有 29 种和 26 种)。单阈值 GMYC 模型最为保守,这可能是由于难以在系统发育中找到拐点所致。mPTP 和 ABGD 似乎在各种采样方案中都最稳定,并暗示存在需要进一步调查的额外隐种。这些结果表明,在具有高度不均匀采样或物种有效种群大小差异较大的经验数据集,mPTP 模型可能更可取。