Frantine-Silva W, Sofia S H, Orsi M L, Almeida F S
Departamento de Biologia Geral, Universidade Estadual de Londrina, Centro de Ciências Biológicas, Campus Universitário, Rodovia Celso Garcia Cid, PR 445 km 380, 86057-970, Londrina-PR, Brasil.
Departamento de Biologia Animal e Vegetal, Universidade Estadual de Londrina, Centro de Ciências Biológicas, Campus Universitário, Rodovia Celso Garcia Cid, PR 445 km 380, 86057-970, Londrina-PR, Brasil.
Mol Ecol Resour. 2015 Sep;15(5):1226-37. doi: 10.1111/1755-0998.12385. Epub 2015 Feb 21.
Quantifying and classifying ichthyoplankton is one of the most effective ways of monitoring the recruitment process in fishes. However, correctly identifying the fish based on morphological characters is extremely difficult, especially in the early stages of development. We examined ichthyoplankton from tributaries and reservoirs along the middle stretch of the Paranapanema River, one of the areas most impacted by hydroelectric projects in the Neotropics. Matching DNA sequences of the COI gene (628-648 bp) allowed us to identify 99.25% of 536 samples of eggs (293) and larvae (243) subjected to BOLD-IDS similarity analysis with a species-level threshold of 1.3%. The results revealed 37 species in 27 genera, 15 families and four orders, some 23.8% of documented fish species in the Paranapanema River. Molecular identification meant that we could include data from egg samples that accounted for about 30% of the species richness observed. The results in this study confirm the efficacy of DNA barcoding in identifying Neotropical ichthyoplankton and show how the data produced provide valuable information for preparing plans for conserving and managing inland waters.
对浮游鱼类进行量化和分类是监测鱼类补充过程最有效的方法之一。然而,基于形态特征正确识别鱼类极其困难,尤其是在发育早期阶段。我们研究了巴拉那帕内马河中游沿岸支流和水库中的浮游鱼类,该区域是新热带地区受水电项目影响最大的地区之一。通过匹配细胞色素氧化酶亚基I(COI)基因(628 - 648 bp)的DNA序列,我们能够在物种水平阈值为1.3%的情况下,对536个鱼卵(293个)和仔鱼(243个)样本进行BOLD-IDS相似性分析,识别率达到99.25%。结果显示,这些样本分属于4目、15科、27属、37种,约占巴拉那帕内马河已记录鱼类物种的23.8%。分子鉴定意味着我们能够纳入鱼卵样本的数据,这些样本约占所观察到的物种丰富度的30%。本研究结果证实了DNA条形码技术在识别新热带浮游鱼类方面的有效性,并展示了所产生的数据如何为制定内陆水域保护和管理计划提供有价值的信息。