Advancing molecular macrobenthos biodiversity monitoring: a comparison between Oxford Nanopore and Illumina based metabarcoding and metagenomics

基因组 大型底栖动物 DNA条形码 生物 纳米孔测序 DNA测序 环境DNA 计算生物学 生物多样性 细胞色素c氧化酶亚单位Ⅰ 霰弹枪测序 生态学 Illumina染料测序 进化生物学 线粒体DNA 丰度(生态学) 遗传学 DNA 基因
作者
Karlijn Doorenspleet,Amalia A. Mailli,Berry B. van der Hoorn,Kevin K. Beentjes,Annelies De Backer,Sofie Derycke,Albertinka J. Murk,Henning Reiss,Reindert Nijland
出处
期刊:PeerJ [PeerJ]
卷期号:13: e19158-e19158 被引量:3
标识
DOI:10.7717/peerj.19158
摘要

DNA-based methods and developments of sequencing technologies are integral to macrobenthos biodiversity studies, and their implementation as standardized monitoring methods is approaching. Evaluating the efficacy and reliability of these technological developments is crucial for macrobenthos biodiversity assessments. In this study, we compared three DNA-based techniques for assessing the diversity of bulk macrobenthos samples from the Belgian North Sea. Specifically, we compared amplicon sequencing using Illumina MiSeq and portable real-time sequencing of Oxford Nanopore versus shotgun sequencing using Illumina NovaSeq sequencing. The 313 bp mitochondrial cytochrome c oxidase subunit I (COI) metabarcoding fragment served as the target region for the metabarcoding analysis. Our results indicate that Oxford Nanopore and MiSeq metabarcoding had similar performances in terms of alpha and beta diversity, revealing highly similar location-specific community compositions. The NovaSeq metagenomics method also resulted in similar alpha diversity, but slightly different community compositions compared to the metabarcoding approach. Despite these differences, location-specific community compositions were maintained across all platforms. Notably, read counts from the NovaSeq metagenomic analysis showed the weakest correlation to size corrected morphological abundance and there were mismatches between morphological identification and all DNA based findings which are likely caused by a combination of factors such as primer efficiency and an incomplete reference database. Our findings underscore the critical importance of database completeness prior to implementing DNA-based techniques as standardized monitoring method, especially for metagenomics. Nevertheless, our findings emphasize that Oxford Nanopore metabarcoding proves to be a viable alternative to the conventional Illumina MiSeq metabarcoding platform for macrobenthos biodiversity monitoring.

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