Shanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai, 201306, China.
Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Ministry of Education, Shanghai, 201306, China.
Sci Rep. 2017 Nov 30;7(1):16601. doi: 10.1038/s41598-017-16920-2.
Species identification using DNA sequences, known as DNA barcoding has been widely used in many applied fields. Current barcoding methods are usually based on a single mitochondrial locus, such as cytochrome c oxidase subunit I (COI). This type of barcoding method does not always work when applied to species separated by short divergence times or that contain introgressed genes from closely related species. Herein we introduce a more effective multi-locus barcoding framework that is based on gene capture and "next-generation" sequencing. We selected 500 independent nuclear markers for ray-finned fishes and designed a three-step pipeline for multilocus DNA barcoding. We applied our method on two exemplar datasets each containing a pair of sister fish species: Siniperca chuatsi vs. Sini. kneri and Sicydium altum vs. Sicy. adelum, where the COI barcoding approach failed. Both of our empirical and simulated results demonstrated that under limited gene flow and enough separation time, we could correctly identify species using multilocus barcoding method. We anticipate that, as the cost of DNA sequencing continues to fall that our multilocus barcoding approach will eclipse existing single-locus DNA barcoding methods as a means to better understand the diversity of the living world.
使用 DNA 序列进行物种鉴定,即 DNA 条形码技术,已被广泛应用于许多应用领域。目前的条形码方法通常基于单个线粒体基因座,如细胞色素 c 氧化酶亚基 I(COI)。当应用于分化时间较短或含有来自亲缘物种基因渐渗的物种时,这种类型的条形码方法并不总是有效。在此,我们引入了一种更有效的多基因座条形码框架,该框架基于基因捕获和“下一代”测序。我们为硬骨鱼类选择了 500 个独立的核标记,并设计了一个三步式多基因座 DNA 条形码工作流程。我们将我们的方法应用于两个具有代表性的数据集,每个数据集都包含一对姐妹鱼类物种:鳜(Siniperca chuatsi)与波纹鳜(Sini. kneri)以及青石斑鱼(Sicydium altum)与褐带石斑鱼(Sicy. adelum),其中 COI 条形码方法失败了。我们的实证和模拟结果都表明,在有限的基因流动和足够的分化时间下,我们可以使用多基因座条形码方法正确识别物种。我们预计,随着 DNA 测序成本的持续下降,我们的多基因座条形码方法将超越现有的单基因座 DNA 条形码方法,成为更好地了解生物多样性的手段。