Institute for Conservation Biology and Environmental Management, School of Biological Sciences, University of Wollongong, NSW 2522, Australia.
Mol Phylogenet Evol. 2013 Oct;69(1):133-41. doi: 10.1016/j.ympev.2013.04.034. Epub 2013 May 9.
Currently there are ≈ 3000 known species of Sarcophagidae (Diptera), which are classified into 173 genera in three subfamilies. Almost 25% of sarcophagids belong to the genus Sarcophaga (sensu lato) however little is known about the validity of, and relationships between the ≈ 150 (or more) subgenera of Sarcophaga s.l. In this preliminary study, we evaluated the usefulness of three sources of data for resolving relationships between 35 species from 14 Sarcophaga s.l. subgenera: the mitochondrial COI barcode region, ≈ 800 bp of the nuclear gene CAD, and 110 morphological characters. Bayesian, maximum likelihood (ML) and maximum parsimony (MP) analyses were performed on the combined dataset. Much of the tree was only supported by the Bayesian and ML analyses, with the MP tree poorly resolved. The genus Sarcophaga s.l. was resolved as monophyletic in both the Bayesian and ML analyses and strong support was obtained at the species-level. Notably, the only subgenus consistently resolved as monophyletic was Liopygia. The monophyly of and relationships between the remaining Sarcophaga s.l. subgenera sampled remain questionable. We suggest that future phylogenetic studies on the genus Sarcophaga s.l. use combined datasets for analyses. We also advocate the use of additional data and a range of inference strategies to assist with resolving relationships within Sarcophaga s.l.
目前已知有约 3000 种麻蝇科(双翅目),分为三个亚科的 173 个属。近 25%的麻蝇属于 Sarcophaga(广义)属,但对约 150 个(或更多) Sarcophaga s.l. 亚属的有效性和相互关系知之甚少。在这项初步研究中,我们评估了三种数据来源在解决来自 14 个 Sarcophaga s.l. 亚属的 35 个物种之间关系的有用性:线粒体 COI 条码区、约 800 bp 的核基因 CAD 和 110 个形态特征。对合并数据集进行了贝叶斯、最大似然(ML)和最大简约(MP)分析。大部分树仅得到贝叶斯和 ML 分析的支持,MP 树解析度较差。广义 Sarcophaga 属在贝叶斯和 ML 分析中均被解析为单系群,在种级水平上得到了强有力的支持。值得注意的是,唯一一致被解析为单系群的亚属是 Liopygia。所采样的剩余 Sarcophaga s.l. 亚属的单系性和相互关系仍存在疑问。我们建议未来对广义 Sarcophaga 属的系统发育研究使用合并数据集进行分析。我们还主张使用额外的数据和一系列推理策略来协助解决 Sarcophaga s.l. 内部的关系。