Advancing global monitoring of ship borne invasive species through streamlined metabarcoding.

10.7287/peerj.preprints.26573v1 ◽

2018 ◽

Author(s):

Paul Czechowski ◽

Erin Grey-Avis ◽

David M Lodge

Keyword(s):

Invasive Species ◽

Network Models ◽

Policy Decision ◽

Environmental Dna ◽

Passive Movement ◽

Biological Data ◽

Long Beach ◽

Ship Traffic ◽

Global Challenge ◽

Dna Sampling

The unintentional transport of invasive species through the global shipping network causes substantial losses to social and economic welfare. Addressing this global challenge requires identification of potentially harmful species, and confirmation of their movement along highly frequented shipping routes. As we have previously shown, properly calibrated network models are able to describe passive movement of invasive species around the world. These models can be substantially improved when suitable in-situ biological data is becoming available, now possible by sequencing of environmental DNA (eDNA) from port waters. Here we report a simple and scalable approach to generate metabarcoding data of 18S ribosomal and other eDNA collected in four major US ports. Between Long Beach, Houston, Miami, Baltimore and a multitude of Chinese ports, ships travel both frequently or infrequently while linking to different ecosystems of East Asia. By controlling for ecoregions and ship traffic, we will shortly be able to estimate ship-borne invasive species spread between the two largest global economies, USA and China. With further port DNA sampling and network model refinements, we will also soon be able to provide global assessments of ship-borne invasive species spread to inform management and policy decision makers.

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Environmental DNA sampling protocols for the surveillance of marine non-indigenous species v3

10.17504/protocols.io.by7rpzm6 ◽

2021 ◽

Author(s):

Luca Mirimin ◽

Dulaney Miller ◽

Sara Fernandez

Keyword(s):

Invasive Species ◽

Environmental Samples ◽

Environmental Dna ◽

Indigenous Species ◽

Sampling Protocols ◽

Dna Sampling ◽

Marine Invasive Species ◽

Monitoring And Surveillance ◽

Non Indigenous Species

This document describes a series of protocols for the collection of environmental samples intended for the monitoring and surveillance of marine invasive species by means of eDNA metabarcoding analysis, as described in the associated publication (Fernandez et al. 2021: https://doi.org/10.1016/j.marpolbul.2021.112893).

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Invasive species to surge as ship traffic soars on the high seas

Nature ◽

10.1038/d41586-019-00870-y ◽

2019 ◽

Vol 567 (7749) ◽

pp. 437-437

Keyword(s):

Invasive Species ◽

Ship Traffic ◽

High Seas

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Efficacy of environmental DNA sampling to detect the occurrence of endangered coho salmon ( Oncorhynchus kisutch ) in Mediterranean‐climate streams of California's central coast

Environmental DNA ◽

10.1002/edn3.175 ◽

2020 ◽

Author(s):

Brian C. Spence ◽

David E. Rundio ◽

Nicholas J. Demetras ◽

Maryna Sedoryk

Keyword(s):

Mediterranean Climate ◽

Coho Salmon ◽

Oncorhynchus Kisutch ◽

Environmental Dna ◽

Central Coast ◽

Dna Sampling

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Use of environmental DNA (eDNA) in streams to detect feral swine (Sus scrofa)

PeerJ ◽

10.7717/peerj.8287 ◽

2020 ◽

Vol 8 ◽

pp. e8287

Author(s):

Amberly N. Hauger ◽

Karmen M. Hollis-Etter ◽

Dwayne R. Etter ◽

Gary J. Roloff ◽

Andrew R. Mahon

Keyword(s):

Invasive Species ◽

Water Temperature ◽

Linear Model ◽

Detection Probability ◽

Generalized Linear Model ◽

Environmental Dna ◽

The United States ◽

Stream Data ◽

Feral Swine ◽

Animal Populations

Invasive feral swine can damage ecosystems, disrupt plant and animal populations, and transmit diseases. Monitoring of feral swine populations requires expensive and labor-intensive techniques such as aerial surveys, field surveys for sign, trail cameras, and verifying landowner reports. Environmental DNA (eDNA) provides an alternative method for locating feral swine. To aid in detection of this harmful invasive species, a novel assay was developed incorporating molecular methods. From August 2017 to April 2018, water samples and stream data were collected along 400 m transects in two different stream types where swine DNA was artificially introduced to investigate potential factors affecting detection. A generalized linear model (family binomial) was used to characterize environmental conditions affecting swine DNA detection; detection was the dependent variable and stream measurements included stream type, distance downstream, water temperature, velocity, turbidity, discharge, and pH as independent variables. Parameters from the generalized linear model were deemed significant if 95% confidence intervals did not overlap 0. Detection probability for swine DNA negatively related to water temperature (β = − 0.21, 95% CI [−0.35 to −0.09]), with the highest detection probability (0.80) at 0 °C and lowest detection probability (0.05) at 17.9 °C water temperature. Results indicate that sampling for swine eDNA in free-flowing stream systems should occur at lower water temperatures to maximize detection probability. This study provides a foundation for further development of field and sampling techniques for utilizing eDNA as a viable alternative to monitoring a terrestrial invasive species in northern regions of the United States.

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Early detection of marine invasive species, Bugula neritina (Bryozoa: Cheilostomatida), using species-specific primers and environmental DNA analysis in Korea

Marine Environmental Research ◽

10.1016/j.marenvres.2018.04.015 ◽

2018 ◽

Vol 139 ◽

pp. 1-10 ◽

Cited By ~ 5

Author(s):

Philjae Kim ◽

Donghwan Kim ◽

Tae Joong Yoon ◽

Sook Shin

Keyword(s):

Invasive Species ◽

Early Detection ◽

Dna Analysis ◽

Environmental Dna ◽

Bugula Neritina ◽

Specific Primers ◽

Marine Invasive Species ◽

Species Specific

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Distribution and Prevalence ofMyxobolus cerebralisin Postfire Areas of Plumas National Forest: Utility of Environmental DNA Sampling

Journal of Aquatic Animal Health ◽

10.1002/aah.10014 ◽

2018 ◽

Vol 30 (2) ◽

pp. 130-143 ◽

Cited By ~ 4

Author(s):

Christine A. Richey ◽

Kirsten V. Kenelty ◽

Kristina Van Stone Hopkins ◽

Brittany N. Stevens ◽

Beatriz Martínez-López ◽

...

Keyword(s):

Environmental Dna ◽

National Forest ◽

Dna Sampling

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Detection of a global aquatic invasive amphibian, Xenopus laevis, using environmental DNA

Amphibia-Reptilia ◽

10.1163/15685381-00003036 ◽

2016 ◽

Vol 37 (1) ◽

pp. 131-136 ◽

Cited By ~ 13

Author(s):

Jean Secondi ◽

Tony Dejean ◽

Alice Valentini ◽

Benjamin Audebaud ◽

Claude Miaud

Keyword(s):

Invasive Species ◽

Xenopus Laevis ◽

Dna Amplification ◽

Control Program ◽

Environmental Dna ◽

Climatic Conditions ◽

Low Density ◽

African Species ◽

A Site ◽

And Control

Detection is crucial in the study and control of invasive species but it may be limited by methodological issues. In amphibians, classical survey techniques exhibit variable detection probability depending on species and are often constrained by climatic conditions often requiring several site visits. Furthermore, detection may be reduced at low density because probability capture (passive traps), or activity (acoustic surveys) drop. Such limits may impair the study of invasive species because low density is typical of the onset of colonisation on a site. In the last few years, environmental DNA (eDNA) methods have proved their ability to detect the presence of aquatic species. We developed here an eDNA method to detectXenopus laevisin ponds. This austral African species is now present worldwide because of its use in biology and as a pet. Populations have settled and expanded on several continents so that it is now considered as one of the major invasive amphibians in the World. We detected the presence ofX. laevisat density as low as 1 ind/100 m2and found a positive relationship between density in ponds and rate of DNA amplification. Results show that eDNA can be successfully applied to survey invasive populations ofX. laeviseven at low density in order to confirm suspected cases of introduction, delimit the expansion of a colonized range, or monitor the efficiency of a control program.

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