Cocuzza Giuseppe E Massimino, Silvestro Silvia Di, Giordano Rosanna, Rapisarda Carmelo
Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, via S. Sofia 100, 95123 Catania, Italy.
Centro di Ricerca per l'Agrumicoltura e le Colture Mediterranee, Corso Savoia 190, 95024 Acireale, Italy.
Zookeys. 2015 Oct 26(529):123-44. doi: 10.3897/zookeys.529.6081. eCollection 2015.
The discrimination of species in the genus Anuraphis is particularly difficult due to the overlap of morphological characters. In this study, we used the 5' (barcode) and 3' regions of cytochrome oxidase I (COI) to test their utility in the identification of species in this genus as well as closely related species. Both regions were useful to discriminate all the species tested. However the non-barcode 3' region resulted in higher resolution and support for species relationships when the data were analyzed using both Maximum Likelihood and MrBayes. We propose the development of an integrated database that encompasses morphological, molecular, life-cycle, host plant and bibliographic information to facilitate and increase the accuracy of aphid identification.
由于形态特征的重叠,对无网长管蚜属物种的鉴别尤为困难。在本研究中,我们使用细胞色素氧化酶I(COI)的5'(条形码)和3'区域来测试它们在该属以及近缘物种鉴定中的效用。两个区域都有助于鉴别所有测试物种。然而,当使用最大似然法和贝叶斯法分析数据时,非条形码3'区域在物种关系分辨率和支持度方面表现更高。我们建议开发一个综合数据库,涵盖形态学、分子、生命周期、寄主植物和文献信息,以促进蚜虫鉴定并提高其准确性。