DNA metabarcoding on repeat: Sequencing data of marine macrobenthos are reproducible and robust across labs and protocols

协议(科学) 大型底栖动物 可比性 UniFrac公司 计算机科学 α多样性 生物多样性 生态学 环境科学 生物 数据挖掘 医学 数学 遗传学 组合数学 生物量(生态学) 病理 16S核糖体RNA 替代医学 细菌
作者
Laure Van den Bulcke,Annelies De Backer,Jan Wittoeck,Kevin K. Beentjes,Sara Maes,Magdalini Christodoulou,Pedro Martínez Arbizu,Rumakanta Sapkota,Berry van der Hoorn,Anne Winding,Kris Hostens,Sofie Derycke
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:150: 110207-110207 被引量:4
标识
DOI:10.1016/j.ecolind.2023.110207
摘要

DNA metabarcoding can be used in marine environmental monitoring if results are reproducible between labs and robust against modifications to the lab protocol. In this interlaboratory study, we conducted a ring test where subsamples of blended macrobenthos samples were distributed to four laboratories located in Belgium, the Netherlands, Germany and Denmark. Samples were processed by a standardized lab protocol and by an adapted protocol, and the resulting datasets were analyzed with the same bioinformatics pipeline. Different biodiversity indicators were calculated. Our results show that bulkDNA metabarcoding of marine macrobenthos offers a highly reproducible assessment of alpha diversity patterns when using a standardized protocol, since comparable species numbers, Shannon indices and Inverse Simpson indices were found between laboratories. Especially high abundant species and species with large body sizes were shared between the laboratories. The need for using a standardized protocol to enhance comparability in alpha diversity between different studies was shown. Beta diversity patterns are less subjected to changes in the metabarcoding protocol and were almost identical between different laboratories, as the main clustering was always based on the macrobenthic community, independent of the used protocol or the laboratory that conducted the work. We conclude that DNA metabarcoding for marine environmental monitoring is an appropriate method when the aim is to study changes in community patterns and advocate its implementation in routine monitoring programs of national and European authorities, providing that a standardized protocol is implemented and/or a detailed description of the protocol is available.

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