气候变化领域集成服务门户(CCPortal): Metabarcoding approach for non-indigenous species surveillance in marine coastal waters

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.853664
	Metabarcoding approach for non-indigenous species surveillance in marine coastal waters
	Zaiko; Anastasija; Samuiloviene; Aurelija; Ardura; Alba; Garcia-Vazquez; Eva
发布日期	2015-10-01
数据集类型	dataset
英文简介	In this study, high-throughput sequencing (HTS) metabarcoding was applied for the surveillance of plankton communities within the southeastern (SE) Baltic Sea coastal zone. These results were compared with those from routine monitoring survey and morphological analyses. Four of five nonindigenous species found in the samples were identified exclusively by metabarcoding. All of them are considered as invasive in the Baltic Sea with reported impact on the ecosystem and biodiversity. This study indicates that, despite some current limitations, HTS metabarcoding can provide information on the presence of exotic species and advantageously complement conventional approaches, only requiring the same monitoring effort as before. Even in the currently immature status of HTS, this combination of HTS metabarcoding and observational records is recommended in the early detection of marine pests and delivery of the environmental status metrics of nonindigenous species.
空间范围	Latitude: 55.728360 * Longitude: 21.075080
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/216959
推荐引用方式 GB/T 7714	Zaiko,Anastasija,Samuiloviene,et al. Metabarcoding approach for non-indigenous species surveillance in marine coastal waters.2015-10-01.https://doi.org/10.1594/PANGAEA.853664.