Nwani Christopher D, Becker Sven, Braid Heather E, Ude Emmanuel F, Okogwu Okechukwu I, Hanner Robert
Department of Applied Biology, Ebonyi State University, Abakaliki, Nigeria.
Mitochondrial DNA. 2011 Oct;22 Suppl 1:43-51. doi: 10.3109/19401736.2010.536537. Epub 2011 Mar 16.
Fishes are the main animal protein source for human beings and play a vital role in aquatic ecosystems and food webs. Fish identification can be challenging, especially in the tropics (due to high diversity), and this is particularly true for larval forms or fragmentary remains. DNA barcoding, which uses the 5' region of the mitochondrial cytochrome c oxidase subunit I (COI) as a target gene, is an efficient method for standardized species-level identification for biodiversity assessment and conservation, pending the establishment of reference sequence libraries.
In this study, fishes were collected from three rivers in southeastern Nigeria, identified morphologically, and imaged digitally. DNA was extracted, PCR-amplified, and the standard barcode region was bidirectionally sequenced for 363 individuals belonging to 70 species in 38 genera. All specimen provenance data and associated sequence information were recorded in the barcode of life data systems (BOLD; www.barcodinglife.org ). Analytical tools on BOLD were used to assess the performance of barcoding to identify species.
Using neighbor-joining distance comparison, the average genetic distance was 60-fold higher between species than within species, as pairwise genetic distance estimates averaged 10.29% among congeners and only 0.17% among conspecifics. Despite low levels of divergence within species, we observed river system-specific haplotype partitioning within eight species (11.4% of all species).
Our preliminary results suggest that DNA barcoding is very effective for species identification of Nigerian freshwater fishes.
鱼类是人类主要的动物蛋白来源,在水生生态系统和食物网中发挥着至关重要的作用。鱼类鉴定可能具有挑战性,尤其是在热带地区(由于物种多样性高),对于幼体形态或残缺遗骸来说更是如此。DNA条形码技术,即以线粒体细胞色素c氧化酶亚基I(COI)的5'区域作为目标基因,是一种在建立参考序列库之前,用于生物多样性评估和保护的标准化物种水平鉴定的有效方法。
在本研究中,从尼日利亚东南部的三条河流采集鱼类,进行形态学鉴定并数字化成像。提取DNA,进行PCR扩增,并对38个属70个物种的363个个体的标准条形码区域进行双向测序。所有标本来源数据和相关序列信息都记录在生命条形码数据系统(BOLD;www.barcodinglife.org)中。使用BOLD上的分析工具评估条形码技术在物种鉴定方面的性能。
通过邻接法距离比较,种间平均遗传距离比种内平均遗传距离高60倍,因为同属物种间的成对遗传距离估计平均为10.29%,而同种个体间仅为0.17%。尽管种内差异水平较低,但我们在8个物种(占所有物种的11.4%)中观察到了特定河流系统的单倍型划分。
我们的初步结果表明,DNA条形码技术在尼日利亚淡水鱼类的物种鉴定中非常有效。