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代谢条形码技术提高了对早期生物污损群落中真核生物的检测:对有害生物监测和途径管理的启示。

Metabarcoding improves detection of eukaryotes from early biofouling communities: implications for pest monitoring and pathway management.

作者信息

Zaiko Anastasija, Schimanski Kate, Pochon Xavier, Hopkins Grant A, Goldstien Sharyn, Floerl Oliver, Wood Susanna A

机构信息

a Coastal and Freshwater Group , Cawthron Institute , Nelson , New Zealand.

b Marine Science and Technology Center , Klaipeda University , Klaipeda , Lithuania.

出版信息

Biofouling. 2016 Jul;32(6):671-84. doi: 10.1080/08927014.2016.1186165.

DOI:10.1080/08927014.2016.1186165
PMID:27212415
Abstract

In this experimental study the patterns in early marine biofouling communities and possible implications for surveillance and environmental management were explored using metabarcoding, viz. 18S ribosomal RNA gene barcoding in combination with high-throughput sequencing. The community structure of eukaryotic assemblages and the patterns of initial succession were assessed from settlement plates deployed in a busy port for one, five and 15 days. The metabarcoding results were verified with traditional morphological identification of taxa from selected experimental plates. Metabarcoding analysis identified > 400 taxa at a comparatively low taxonomic level and morphological analysis resulted in the detection of 25 taxa at varying levels of resolution. Despite the differences in resolution, data from both methods were consistent at high taxonomic levels and similar patterns in community shifts were observed. A high percentage of sequences belonging to genera known to contain non-indigenous species (NIS) were detected after exposure for only one day.

摘要

在这项实验研究中,利用元条形码技术,即18S核糖体RNA基因条形码结合高通量测序,探索了早期海洋生物污损群落的模式及其对监测和环境管理的潜在影响。通过在繁忙港口部署的定居板,评估真核生物群落的结构和初始演替模式,定居板分别放置1天、5天和15天。通过对选定实验板上的分类单元进行传统形态学鉴定,验证了元条形码技术的结果。元条形码分析在相对较低的分类水平上鉴定出400多个分类单元,形态学分析在不同分辨率水平上检测到25个分类单元。尽管分辨率存在差异,但两种方法的数据在高分类水平上是一致的,并且观察到群落变化的相似模式。仅暴露一天后,就检测到了高比例的属于已知包含非本地物种(NIS)属的序列。

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