scholarly journals Environmental DNA detection of rare and invasive fish species in two Great Lakes tributaries

2017 ◽  
Vol 27 (1) ◽  
pp. 112-127 ◽  
Author(s):  
Katherine D. Balasingham ◽  
Ryan P. Walter ◽  
Nicholas E. Mandrak ◽  
Daniel D. Heath
Keyword(s):  
Great Lakes ◽  
Fish Species ◽  
Dna Detection ◽  
Environmental Dna ◽  
Invasive Fish

scholarly journals Utility of environmental DNA analysis for effective monitoring of invasive fish species in reservoirs

Ecosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
Author(s):  
Toshiaki Jo ◽  
Saki Ikeda ◽  
Arisa Fukuoka ◽  
Takashi Inagawa ◽  
Jiro Okitsu ◽  
...  
Keyword(s):  
Fish Species ◽  
Dna Analysis ◽  
Environmental Dna ◽  
Invasive Fish

scholarly journals Using Environmental DNA to Estimate the Distribution of an Invasive Fish Species in Ponds

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e56584 ◽  
Author(s):  
Teruhiko Takahara ◽  
Toshifumi Minamoto ◽  
Hideyuki Doi
Keyword(s):  
Fish Species ◽  
Environmental Dna ◽  
Invasive Fish

scholarly journals Implementation of an Award-Winning Invasive Fish Recognition and Separation System

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2182
Author(s):  
Jin Chai ◽  
Dah-Jye Lee ◽  
Beau Tippetts ◽  
Kirt Lillywhite
Keyword(s):  
Great Lakes ◽  
Fish Species ◽  
Imaging System ◽  
Low Cost ◽  
Species Recognition ◽  
Illinois River ◽  
Separation System ◽  
Invasive Fish ◽  
Underwater Imaging ◽  
Novel Technologies

The state of Michigan, U.S.A., was awarded USD 1 million in March 2018 for the Great Lakes Invasive Carp Challenge. The challenge sought new and novel technologies to function independently of or in conjunction with those fish deterrents already in place to prevent the movement of invasive carp species into the Great Lakes from the Illinois River through the Chicago Area Waterway System (CAWS). Our team proposed an environmentally friendly, low-cost, vision-based fish recognition and separation system. The proposed solution won fourth place in the challenge out of 353 participants from 27 countries. The proposed solution includes an underwater imaging system that captures the fish images for processing, fish species recognition algorithm that identify invasive carp species, and a mechanical system that guides the fish movement and restrains invasive fish species for removal. We used our evolutionary learning-based algorithm to recognize fish species, which is considered the most challenging task of this solution. The algorithm was tested with a fish dataset consisted of four invasive and four non-invasive fish species. It achieved a remarkable 1.58% error rate, which is more than adequate for the proposed system, and required only a small number of images for training. This paper details the design of this unique solution and the implementation and testing that were accomplished since the challenge.

scholarly journals Comparison of thermal tolerance and standard metabolic rate of two Great Lakes invasive fish species

2018 ◽  
Vol 44 (3) ◽  
pp. 476-481 ◽  
Author(s):  
Ken G. Drouillard ◽  
David A. Feary ◽  
Xin Sun ◽  
Jessica A. O'Neil ◽  
Todd Leadley ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Great Lakes ◽  
Fish Species ◽  
Thermal Tolerance ◽  
Standard Metabolic Rate ◽  
Invasive Fish

scholarly journals Simultaneous absolute quantification and sequencing of fish environmental DNA in a mesocosm by quantitative sequencing technique

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tatsuhiko Hoshino ◽  
Ryohei Nakao ◽  
Hideyuki Doi ◽  
Toshifumi Minamoto
Keyword(s):  
Fish Species ◽  
High Throughput Sequencing ◽  
Correlation Coefficients ◽  
Environmental Dna ◽  
Digital Pcr ◽  
Absolute Quantification ◽  
Taqman Probe ◽  
Individual Species ◽  
Natural Environments ◽  
Target Sequence

AbstractThe combination of high-throughput sequencing technology and environmental DNA (eDNA) analysis has the potential to be a powerful tool for comprehensive, non-invasive monitoring of species in the environment. To understand the correlation between the abundance of eDNA and that of species in natural environments, we have to obtain quantitative eDNA data, usually via individual assays for each species. The recently developed quantitative sequencing (qSeq) technique enables simultaneous phylogenetic identification and quantification of individual species by counting random tags added to the 5′ end of the target sequence during the first DNA synthesis. Here, we applied qSeq to eDNA analysis to test its effectiveness in biodiversity monitoring. eDNA was extracted from water samples taken over 4 days from aquaria containing five fish species (Hemigrammocypris neglectus, Candidia temminckii, Oryzias latipes, Rhinogobius flumineus, and Misgurnus anguillicaudatus), and quantified by qSeq and microfluidic digital PCR (dPCR) using a TaqMan probe. The eDNA abundance quantified by qSeq was consistent with that quantified by dPCR for each fish species at each sampling time. The correlation coefficients between qSeq and dPCR were 0.643, 0.859, and 0.786 for H. neglectus, O. latipes, and M. anguillicaudatus, respectively, indicating that qSeq accurately quantifies fish eDNA.

scholarly journals Effects of preservation strategies on environmental DNA detection and quantification using ddPCR

2021 ◽  
Author(s):  
Quentin Mauvisseau ◽  
David Halfmaerten ◽  
Sabrina Neyrinck ◽  
Alfred Burian ◽  
Rein Brys
Keyword(s):  
Dna Detection ◽  
Environmental Dna ◽  
Detection And Quantification
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