scholarly journals Rapid Invasive Species Detection by Combining Environmental DNA with Light Transmission Spectroscopy

2013 ◽  
Vol 6 (6) ◽  
pp. 402-409 ◽  
Author(s):  
Scott P. Egan ◽  
Matthew A. Barnes ◽  
Ching-Ting Hwang ◽  
Andrew R. Mahon ◽  
Jeffery L. Feder ◽  
...  
2015 ◽  
Vol 49 (7) ◽  
pp. 4113-4121 ◽  
Author(s):  
Scott P. Egan ◽  
Erin Grey ◽  
Brett Olds ◽  
Jeffery L. Feder ◽  
Steven T. Ruggiero ◽  
...  

2013 ◽  
Vol 10 (78) ◽  
pp. 20120637 ◽  
Author(s):  
A. R. Mahon ◽  
M. A. Barnes ◽  
F. Li ◽  
S. P. Egan ◽  
C. E. Tanner ◽  
...  

Early detection of invasive species is critical for effective biocontrol to mitigate potential ecological and economic damage. Laser transmission spectroscopy (LTS) is a powerful solution offering real-time, DNA-based species detection in the field. LTS can measure the size, shape and number of nanoparticles in a solution and was used here to detect size shifts resulting from hybridization of the polymerase chain reaction product to nanoparticles functionalized with species-specific oligonucleotide probes or with the species-specific oligonucleotide probes alone. We carried out a series of DNA detection experiments using the invasive freshwater quagga mussel ( Dreissena bugensis ) to evaluate the capability of the LTS platform for invasive species detection. Specifically, we tested LTS sensitivity to (i) DNA concentrations of a single target species, (ii) the presence of a target species within a mixed sample of other closely related species, (iii) species-specific functionalized nanoparticles versus species-specific oligonucleotide probes alone, and (iv) amplified DNA fragments versus unamplified genomic DNA. We demonstrate that LTS is a highly sensitive technique for rapid target species detection, with detection limits in the picomolar range, capable of successful identification in multispecies samples containing target and non-target species DNA. These results indicate that the LTS DNA detection platform will be useful for field application of target species. Additionally, we find that LTS detection is effective with species-specific oligonucleotide tags alone or when they are attached to polystyrene nanobeads and with both amplified and unamplified DNA, indicating that the technique may also have versatility for broader applications.


2021 ◽  
Vol 8 ◽  
Author(s):  
Juan Diego Lozano Mojica ◽  
Susana Caballero

Environmental DNA metabarcoding is a tool with increasing use worldwide. The uses of such technology have been validated several times for diversity census, invasive species detection, and endangered/cryptic/elusive species detection and monitoring. With the help of this technology, water samples collected (n = 37) from several main river basins and other water bodies of the northern part of Colombia, including the Magdalena, Sinú, Atrato, and San Jorge river basins, were filtered and analyzed and processed using universal 12S primers for vertebrate fauna and NGS. Over 200 native taxa were detected, the majority of them being fish species but also including amphibia, reptiles, and several non-aquatic species of birds and mammals (around 78, 3, 2, 9, and 8%, respectively). Among the matches, vulnerable, and endangered species such as the catfish Pseudoplatystoma magdaleniatum and the Antillean manatee (Trichechus manatus) were detected. The manual revision of the data revealed some geographical incongruencies in classification. No invasive species were detected in the filters. This is, to our knowledge, the first time this technique is used in rivers of the country and this tool promises to bring advances in monitoring and conservation efforts, since its low cost and fast deployment allows for sampling in small periods of time, together with the fact that it can detect a wide range of species, allows for a new way of censing the vertebrate diversity in Colombia. Diversity analysis showed how the species identified using this method point to expected community structure although still much needs to be improved in rates of detection and genomic reference databases. This technique could be used in citizen science projects involving local communities in these regions.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8287
Author(s):  
Amberly N. Hauger ◽  
Karmen M. Hollis-Etter ◽  
Dwayne R. Etter ◽  
Gary J. Roloff ◽  
Andrew R. Mahon

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.


2018 ◽  
Vol 72 (3) ◽  
pp. 211-228 ◽  
Author(s):  
Debabrata Senapati ◽  
Manojit Bhattacharya ◽  
Avijit Kar ◽  
Deep Sankar Chini ◽  
Basanta Kumar Das ◽  
...  

2016 ◽  
Vol 37 (1) ◽  
pp. 131-136 ◽  
Author(s):  
Jean Secondi ◽  
Tony Dejean ◽  
Alice Valentini ◽  
Benjamin Audebaud ◽  
Claude Miaud

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.


2015 ◽  
Vol 484 ◽  
pp. 58-65 ◽  
Author(s):  
N. Sun ◽  
J. Johnson ◽  
M.S. Stack ◽  
J. Szajko ◽  
C. Sander ◽  
...  

Author(s):  
Timothy Flynn ◽  
Hady Salloum ◽  
Helen Hull-Sanders ◽  
Alexander Sedunov ◽  
Nikolay Sedunov ◽  
...  

2014 ◽  
Vol 29 (2) ◽  
pp. 430-439 ◽  
Author(s):  
Lucas R. Nathan ◽  
Christopher L. Jerde ◽  
Michelle L. Budny ◽  
Andrew R. Mahon

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