The green tide in the Yellow Sea which has been erupting continuously for 13 years, has brought a huge disaster to the ecosystem. There are four Ulva species from the early stage of green tide in the Yellow Sea usually: Ulva prolifera, Ulva compressa, Ulva flexuosa and Ulva linza. With the passage of time, the green tide floating to Qingdao mainly consists of Ulva prolifera. Molecular biological identification of species during the outbreak of green tide in the Yellow Sea has always been a focus of surveillance, but the ‘ITS-5S’ test system we have been using for a long time is not perfect. Through analyzing the mitochondrial genome of species published by our laboratory and combining with the other mitochondrial genome data, we find that the rps2-trnL gene spacer sequences can accurately distinguish the Ulva species of the green tide. After gene amplification and the construction of Maximum Likelihood phylogenetic tree, we find that the rps2-trnL gene spacer sequence is completely suitable for the barcode sequence of common Ulva species. This discovery could save researchers a lot of money and time, also, provide basic data for future green tide prevention and control.

黄海的绿色潮水已经连续爆发了13年，给生态系统带来了巨大的灾难。黄海绿潮初期通常有四种Ulva物种：Ulva prolifera，Ulva compressa，Ulva flexuosa和Ulva linza。随着时间的流逝，漂浮到青岛的绿潮主要由Ulva prolifera组成。黄海绿潮爆发期间对物种的分子生物学鉴定一直是监视的重点，但是我们长期使用的“ ITS-5S”测试系统并不完美。通过分析由我们实验室发布的物种的线粒体基因组，并结合其他线粒体基因组数据，我们发现rps2- trn L基因间隔序列可以准确地区分绿潮中的Ulva物种。经过基因扩增和最大似然系统树的构建，我们发现rps2- trn L基因间隔区序列完全适合常见Ulva的条形码序列种类。这一发现可以为研究人员节省大量金钱和时间，还可以为未来的绿潮防治提供基础数据。