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15 results for “FISH technique”
Fig. 4 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 4. Percentage of correct matches (a) and expended minutes (b) between naked-eye and computer-assisted field test photo-identification for individual recognition of Rineloricaria aequalicuspis (n = 9). Boxplots show median (central thicker line), first and third quartile (box limits), 95% confidence interval of median (whiskers), and outliers.
Fig. 3 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 3. Variation in number, shape, size and organization of the bony plates covering the abdominal surface of six different Rineloricaria aequalicuspis individuals with more than 10 cm total length. These are examples of photographs taken during the field test. (a) 175 mm TL; (b) 138 mm TL; (c) 156 mm TL; (d) 145 mm TL; (e) 141 mm TL; (f) 151 mm TL.
Fig. 2 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 2. Diagram showing the steps employed to assess the performance of photo-identification technique in laboratory (a) and field (b) conditions for Rineloricaria aequalicuspis.
Fig. 1 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 1. Lateral, dorsal and ventral views of a Rineloricaria aequalicuspis individual (110 mm TL). Ventral view shows the arrangement of the abdominal plates. Photograph courtesy of L. R. Malabarba.
Fig. 4 in Preliminary study on the application of radio-telemetry techniques to evaluate movements of fish in the Lateral canal at Itaipu Dam, Brazil
Fig. 4. Movements of Prochilodus lineatus (fish no 1 and 4) and Pseudoplatystoma fasciatum (fish no 9, 10 and 13) in the lateral channel located near Itaipu Dam (detections in the fixed stations, in number of hours post-release, are shown in the white circles).
Fig. 3 in Preliminary study on the application of radio-telemetry techniques to evaluate movements of fish in the Lateral canal at Itaipu Dam, Brazil
Fig. 3. Radio-telemetry fixed station at "Lago das Grevilhas", in the lateral channel near Itaipu Dam.
Fig. 1 in Preliminary study on the application of radio-telemetry techniques to evaluate movements of fish in the Lateral canal at Itaipu Dam, Brazil
Fig. 1. Locations of the fixed-station receivers (numbers inside the white circles) during the pilot study conducted in the lateral channel located near Itaipu Dam.
Fig. 2 in Preliminary study on the application of radio-telemetry techniques to evaluate movements of fish in the Lateral canal at Itaipu Dam, Brazil
Fig. 2. Surgical implantation of a radiotransmitter in Pseudoplatystoma fasciatum, captured in the lateral channel located near Itaipu Dam.
Integration of environmental DNA metabarcoding technique to reinforce fish biodiversity assessments in seagrass ecosystems: A case study of Gazi Bay Seagrass meadows
<p><span>Assessing biodiversity in marine nearshore ecosystems is crucial for effective management, especially in the context of climate change and overexploitation of marine resources. Conventional methods often fall short in providing comprehensive information for managing seagrass ecosystems. However, the emergence of environmental DNA (eDNA) techniques has transformed the field by enabling non-invasive surveys that are cost-effective and provide detailed information with high resolution. In this study, we utilized eDNA to assess fish diversity and compared its effectiveness to conventional techniques such as catch assessment surveys and underwater surveys. </span>We sampled three habitats (A: mangrove-seagrass, B: seagrass only, and C: coral-seagrass) with 4 replicates. Site A recorded 8 fish species, site B had 16 species, and site C, characterized by coral and seagrass habitats, exhibited the highest fish diversity with 45 species (mean H' index = 2.455), underscoring its ecological importance. To ensure accurate taxonomic identification, we utilized an updated MiFish reference database containing a larger number of fish species compared to the initial library. This expanded reference database with 9,569 fish species, facilitated more precise identification and enhanced the reliability of our findings. Notably, the eDNA technique outperformed conventional methods by detecting 23 additional fish species that went undetected using traditional surveys. Moreover, our study documented five fish species previously unknown to occur within the study region, further emphasizing the value of eDNA analysis in uncovering hidden biodiversity. These findings strongly advocate for integrating eDNA techniques into the monitoring and assessment of biodiversity in shallow tropical habitats of the Western Indian Ocean. By leveraging eDNA surveys, we can gain valuable insights into fish diversity, discover hidden species, and make informed decisions for the conservation and management of these ecologically significant areas.</p>
Integration of environmental DNA metabarcoding technique to reinforce fish biodiversity assessments in seagrass ecosystems: A case study of Gazi Bay Seagrass meadows
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FIG. 1 in A New Non-Invasive Technique for Temporarily Tagging Coral Reef Fishes
FIG. 1. (A) Graphic scheme of the tagging procedure: i) Dry the scales of the fish, scraping gently with a clean cotton tip (moving the top of the cotton tip in the same direction as the fish scales); ii) Apply on the dried area a very small drop of topical tissue adhesive; iii) Place the tag on the spot of adhesive using tweezers; iv) Using a wet cotton tip, press on the tag for few seconds (ensuring that there are no bubbles of air between the tag and the fish scales); v) Finally, apply a small amount of adhesive on the right and left extremities of the tag. This procedure requires less than a minute for each tag. (B) Graphic scheme and photo examples of the six possible combinations of the tags. Positions of the tags along the fish body (horizontal— posterior in orange, middle in yellow, and anterior in purple; and vertical—dorsal in red, central in blue, and ventral in green). Illustrations by RB.
FIG. 2 in A New Non-Invasive Technique for Temporarily Tagging Coral Reef Fishes
FIG. 2. (A) Comparison of attachment time of tags by position (horizontal positions—posterior, middle, and anterior; vertical positions—dorsal, central, and ventral) for left (L) and right (R) side of the fish; box plots show medians, 25th, and 75th percentiles. Black dots represent outliers. (B) Mean attachment time grid by position. Each square represents one of the nine possible tag positions with the relative mean attachment time represented by different color shades (blue-dark purple for mean attachment time between 40–45 hours; light purple-yellow for mean attachment time between 45–50 hours; yellow-orange for mean attachment time between 50–55 hours; orange-red for mean attachment time between 55–60 hours).
FIG. 3 in A New Non-Invasive Technique for Temporarily Tagging Coral Reef Fishes
FIG. 3. Comparison of attachment time (hr) of tags by fish (Fish Identity) ordered by fish size (total length in mm). Box plots show medians, 25th, and 75th percentiles. Black dots represent outliers; gray dots represent total length of fish.
Data from: Optimizing techniques to capture and extract environmental DNA for detection and quantification of fish
Few studies have examined capture and extraction methods for environmental DNA (eDNA) to identify techniques optimal for detection and quantification. In this study, precipitation, centrifugation and filtration eDNA capture methods and six commercially available DNA extraction kits were evaluated for their ability to detect and quantify common carp (Cyprinus carpio) mitochondrial DNA using quantitative PCR in a series of laboratory experiments. Filtration methods yielded the most carp eDNA, and a glass fibre (GF) filter performed better than a similar pore size polycarbonate (PC) filter. Smaller pore sized filters had higher regression slopes of biomass to eDNA, indicating that they were potentially more sensitive to changes in biomass. Comparison of DNA extraction kits showed that the MP Biomedicals FastDNA SPIN Kit yielded the most carp eDNA and was the most sensitive for detection purposes, despite minor inhibition. The MoBio PowerSoil DNA Isolation Kit had the lowest coefficient of variation in extraction efficiency between lake and well water and had no detectable inhibition, making it most suitable for comparisons across aquatic environments. Of the methods tested, we recommend using a 1.5 μm GF filter, followed by extraction with the MP Biomedicals FastDNA SPIN Kit for detection. For quantification of eDNA, filtration through a 0.2–0.6 μm pore size PC filter, followed by extraction with MoBio PowerSoil DNA Isolation Kit was optimal. These results are broadly applicable for laboratory studies on carps and potentially other cyprinids. The recommendations can also be used to inform choice of methodology for field studies.
Data from: Optimizing techniques to capture and extract environmental DNA for detection and quantification of fish
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International Brain Laboratory public data
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OpenNeuro
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