Adeoba Mariam I, Kabongo Ronny, der Bank Herman Van, Yessoufou Kowiyou
Department of Zoology, University of Johannesburg, Kingsway Campus PO Box 524, Auckland Park 2006, South Africa.
African Centre for DNA Barcoding, University of Johannesburg, Kingsway Campus, PO Box 524, Auckland Park 2006, South Africa.
Zookeys. 2018 Mar 26(746):105-121. doi: 10.3897/zookeys.746.13502. eCollection 2018.
Specimen identification in the absence of diagnostic morphological characters (e.g., larvae) can be problematic even for experts. The goal of the present study was to assess the performance of COI in discriminating specimens of the fish family Cyprinidae in Africa, and to explore whether COI-phylogeny can be reliably used for phylogenetic comparative analysis. The main objective was to analyse a matrix of COI sequences for 315 specimens from 15 genera of African Cyprinidae using various distance-based identification methods alongside multiple tests of DNA barcode efficacy (barcode gap, species monophyly on NJ tree). Some morphological and biological characters were also mapped on a COI-phylogeny reconstructed using Maximum Parsimony. First, the results indicated the existence of barcode gaps, a discriminatory power of COI ranging from 79 % to 92 %, and that most nodes form well-supported monophyletic clades on an NJ tree. Second, it was found that some morphological and biological characters are clustered on the COI-phylogeny, and this indicates the reliability of these characters for taxonomic discrimination within the family. Put together, our results provide not only an additional support for the COI as a good barcode marker for the African Cyprinidae but it also indicate the utility of COI-based phylogenies for a wide spectrum of ecological questions related to African Cyprinidae.
即使对于专家而言,在缺乏诊断性形态特征(如幼虫)的情况下进行标本鉴定也可能存在问题。本研究的目的是评估细胞色素氧化酶亚基I(COI)在鉴别非洲鲤科鱼类标本方面的性能,并探讨基于COI的系统发育能否可靠地用于系统发育比较分析。主要目标是使用各种基于距离的鉴定方法以及DNA条形码效力的多项测试(条形码间隙、邻接树上的物种单系性),分析来自非洲鲤科15个属的315个标本的COI序列矩阵。一些形态和生物学特征也被映射到使用最大简约法重建的COI系统发育树上。首先,结果表明存在条形码间隙,COI的鉴别力在79%至92%之间,并且在邻接树上大多数节点形成了得到充分支持的单系分支。其次,发现一些形态和生物学特征聚集在COI系统发育树上,这表明这些特征在该科内进行分类鉴别时的可靠性。综上所述,我们的结果不仅为COI作为非洲鲤科良好的条形码标记提供了额外支持,还表明基于COI的系统发育对于与非洲鲤科相关的广泛生态问题具有实用性。