2018
DOI: 10.7717/peerj.4496
|View full text |Cite
|
Sign up to set email alerts
|

Distribution and seasonal differences in Pacific Lamprey andLampetraspp eDNA across 18 Puget Sound watersheds

Abstract: Lampreys have a worldwide distribution, are functionally important to ecological communities and serve significant roles in many cultures. In Pacific coast drainages of North America, lamprey populations have suffered large declines. However, lamprey population status and trends within many areas of this region are unknown and such information is needed for advancing conservation goals. We developed two quantitative PCR-based, aquatic environmental DNA (eDNA) assays for detection of Pacific Lamprey (Entosphenu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
21
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 16 publications
(21 citation statements)
references
References 70 publications
0
21
0
Order By: Relevance
“…When we performed denoising by dada2 , there was one false‐negative result and some reference haplotypes with low detection probability in multiple filters and/or PCR replications (Figures 4 and S1). It is considered that the false‐negative result and decrease in detection probability among multiple replications of filters and PCRs were caused by three main reasons: (i) failure of eDNA capture during the water sampling because of the scarcity or degradation of eDNA molecules (Evans, Shirey, Wieringa, Mahon, & Lamberti, 2017); (ii) failure of PCR amplification of eDNA in the sample because of scarcity of DNA molecules or the PCR inhibition (Jane et al., 2014; Ostberg, Chase, Hayes, & Duda, 2018); and (iii) incorrect elimination in denoising of HTS data using denoising software based on the ASV method (Rosen, Callahan, Fisher, & Holmes, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…When we performed denoising by dada2 , there was one false‐negative result and some reference haplotypes with low detection probability in multiple filters and/or PCR replications (Figures 4 and S1). It is considered that the false‐negative result and decrease in detection probability among multiple replications of filters and PCRs were caused by three main reasons: (i) failure of eDNA capture during the water sampling because of the scarcity or degradation of eDNA molecules (Evans, Shirey, Wieringa, Mahon, & Lamberti, 2017); (ii) failure of PCR amplification of eDNA in the sample because of scarcity of DNA molecules or the PCR inhibition (Jane et al., 2014; Ostberg, Chase, Hayes, & Duda, 2018); and (iii) incorrect elimination in denoising of HTS data using denoising software based on the ASV method (Rosen, Callahan, Fisher, & Holmes, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Our findings indicate that sampling eDNA at one or few sites at lower ends of drainages can also accurately detect lamprey when present in a drainage. Further, Ostberg et al () used eDNA to replicate known lamprey distributions in Puget Sound watersheds by sampling single sites within each watershed. However, the number and spatial distribution of sample sites in an eDNA survey design will ultimately depend on specific study objectives.…”
Section: Discussionmentioning
confidence: 99%
“…We used an LOD of 1 copy/qPCR for the E. tridentatus and Lampetra spp. assay as identified in Ostberg et al ().…”
Section: Methodsmentioning
confidence: 98%
See 1 more Smart Citation
“…S1). It is considered that the false-negative result and decrease in detection probability among multiple replications of filters and PCRs were caused by three main reason: (1) failure of eDNA capture during the water sampling because of the scarcity or degradation of eDNA molecules (Evans et al, 2017), (2) failure of PCR amplification of eDNA in the sample because of scarcity of DNA molecules or the PCR inhibition (Jane et al, 2014, Ostberg et al, 2018), and (3) incorrect elimination in denoising of HTS data using denoising software based on the ASV method (Rosen et al, 2012).…”
Section: Discussionmentioning
confidence: 99%