期刊
MOLECULAR ECOLOGY RESOURCES
卷 22, 期 6, 页码 2232-2247出版社
WILEY
DOI: 10.1111/1755-0998.13610
关键词
eDNA; Illumina; invasive; metabarcoding; MinION; MiSeq; mussel; nanopore
资金
- PORBIOTA [POCI-01-0145-FEDER-022127]
- Fundacao para a Ciencia e a Tecnologia [SFRH/BD/133159/2017, 2020.03608.CEECIND]
- European Regional Development Fund (FEDER)
- EDP-Biodiversity Chair
- Horizon 2020 Framework Programme [668981]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/133159/2017] Funding Source: FCT
This study provides a laboratory protocol and bioinformatic tools for detecting aquatic invasive species using nanopore sequencing technology, and compares it with Illumina-based sequencing. Testing was conducted at sampling sites in Italy and Portugal, showing a high degree of agreement between the two sequencing methods and faster sample processing time for nanopore sequencing.
Traditional detection of aquatic invasive species via morphological identification is often time-consuming and can require a high level of taxonomic expertise, leading to delayed mitigation responses. Environmental DNA (eDNA) detection approaches of multiple species using Illumina-based sequencing technology have been used to overcome these hindrances, but sample processing is often lengthy. More recently, portable nanopore sequencing technology has become available, which has the potential to make molecular detection of invasive species more widely accessible and substantially decrease sample turnaround times. However, nanopore-sequenced reads have a much higher error rate than those produced by Illumina platforms, which has so far hindered the adoption of this technology. We provide a detailed laboratory protocol and bioinformatic tools (msi package) to increase the reliability of nanopore sequencing to detect invasive species, and we test its application using invasive bivalves while comparing it with Illumina-based sequencing. We sampled water from sites with pre-existing bivalve occurrence and abundance data, and contrasting bivalve communities, in Italy and Portugal. Samples were extracted, amplified, and sequenced by the two platforms. The mean agreement between sequencing methods was 69% and the difference between methods was nonsignificant. The lack of detections of some species at some sites could be explained by their known low abundances. This is the first reported use of MinION to detect aquatic invasive species from eDNA samples.
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