Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus

2015 ◽  
pp. 89-99 ◽  
Author(s):  
Konstantinos Demertzis ◽  
Lazaros Iliadis
Keyword(s):  
Fish Species ◽  
Dna Barcodes ◽  
Invasive Fish ◽  
Food Borne ◽  
Lagocephalus Sceleratus

Feeding and Feeding Behavior of Invasive Fish Species in the Water Bodies of the West Polissya of Ukraine

2011 ◽  
Vol 47 (1) ◽  
pp. 51-60 ◽  
Author(s):  
V. K. Bigun ◽  
S. A. Afanasyev
Keyword(s):  
Feeding Behavior ◽  
Fish Species ◽  
Water Bodies ◽  
Invasive Fish ◽  
The West

Inhabitat status and gastric contents of invasive fish species and the effect on fish fauna at three reservoirs in National Parks of Korea

2021 ◽  
Vol 33 (2) ◽  
pp. 84-94
Author(s):  
Seung-Chul Park ◽  
Kwang Yeol Lee ◽  
Kwang-Seek Choi ◽  
Mee-Sook Han ◽  
Myeong-Hun Ko
Keyword(s):  
National Parks ◽  
Fish Species ◽  
Fish Fauna ◽  
Invasive Fish ◽  
Gastric Contents

Results of fisheries research of the Shaturskaya group of lakes

Fisheries ◽  
2021 ◽  
Vol 2021 (1) ◽  
pp. 52-60
Author(s):  
Andrey Bykov
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Thermal Regime ◽  
Seasonal Migration ◽  
Fishing Gear ◽  
Invasive Fish ◽  
Cooling Reservoir ◽  
Quantitative Indicators

Based on the results of comprehensive fisheries research, a brief description of the ecosystem of the lake of the Shaturskaya group operated in the mode of the cooling reservoir of the Shaturskaya GRES is given. The features of the thermal regime of the Shatursky lakes in the zone of the circulating flow of cooled waters are considered. A brief description of the species composition and quantitative indicators of the development of phytoplankton, zooplankton and macrozoobenthos communities is given. The structure of fish catches in the lakes depending on the fishing gear used is considered according to the data of accounting surveys with set nets and fry drag. The process of formation of the ichthyofauna of Shatursky lakes, characteristic of natural and man-made ecosystems of reservoirs-coolers of energy facilities, is shown. The occurrence of native and invasive fish species in catches is described, and the mechanism of seasonal migration of fish depending on the temperature and oxygen regimes of the Shatursky lakes is considered.

Molecular characterization of small indigenous fish species (SIS) of Bangladesh through DNA barcodes

Gene ◽  
2019 ◽  
Vol 684 ◽  
pp. 53-57 ◽  
Author(s):  
Md. Sagir Ahmed ◽  
Md. Miraj Kobad Chowdhury ◽  
Luthfun Nahar
Keyword(s):  
Molecular Characterization ◽  
Fish Species ◽  
Dna Barcodes ◽  
Indigenous Fish Species

scholarly journals Anadromy and the dispersal of an invasive fish species (Oncorhynchus mykiss) in Eastern Quebec, as revealed by otolith microchemistry

2010 ◽  
Vol 19 (3) ◽  
pp. 348-360 ◽  
Author(s):  
I. Thibault ◽  
R. D. Hedger ◽  
J. J. Dodson ◽  
J.-C. Shiao ◽  
Y. Iizuka ◽  
...  
Keyword(s):  
Oncorhynchus Mykiss ◽  
Fish Species ◽  
Otolith Microchemistry ◽  
Invasive Fish

scholarly journals Parasitic infections of two invasive fish species, the Caucasian dwarf goby and the Amur sleeper, in Hungary

2015 ◽  
Vol 63 (4) ◽  
pp. 472-484 ◽  
Author(s):  
László Antal ◽  
Csaba Székely ◽  
Kálmán Molnár
Keyword(s):  
Fish Species ◽  
Parasite Species ◽  
Fish Fauna ◽  
Parasite Fauna ◽  
Parasitic Infections ◽  
Amur Sleeper ◽  
Perccottus Glenii ◽  
Invasive Fish ◽  
Nippotaenia Mogurndae ◽  
New Fish Species

In recent years and decades, two new fish species, the Caucasian dwarf goby (Knipowitschia caucasica) and the Amur sleeper (Perccottus glenii) have become members of the Hungarian fish fauna. In a 14-month study on the parasite fauna of these species, the authors detected 11 parasite species in the Caucasian dwarf goby and 17 species in the Amur sleeper. All parasites found in dwarf goby belong to species commonly occurring also in native Hungarian fishes, but three species (Goussia obstinata, Gyrodactylus perccotti and Nippotaenia mogurndae) collected from the Amur sleeper are introduced species new for the Hungarian fauna.

Cytogenetic identification of invasive fish species following connections between hydrographic basins

Hydrobiologia ◽  
2010 ◽  
Vol 649 (1) ◽  
pp. 347-354 ◽  
Author(s):  
Elisangela Bellafronte ◽  
Orlando Moreira-Filho ◽  
Marcelo Ricardo Vicari ◽  
Roberto Ferreira Artoni ◽  
Luiz Antônio Carlos Bertollo ◽  
...  
Keyword(s):  
Fish Species ◽  
Invasive Fish

scholarly journals A portable trap with electric lead catches up to 75% of an invasive fish species

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Nicholas S. Johnson ◽  
Scott Miehls ◽  
Lisa M. O’Connor ◽  
Gale Bravener ◽  
Jessica Barber ◽  
...  
Keyword(s):  
Fish Species ◽  
Invasive Fish

scholarly journals Survey of Species Covered by DNA Barcoding Data in BOLD and GenBank for Integration of Data for Museomics

2020 ◽  
Vol 4 ◽  
Author(s):  
Takeru Nakazato
Keyword(s):  
Dna Barcoding ◽  
Fish Species ◽  
Dna Sequences ◽  
Dna Barcode ◽  
Database Systems ◽  
Species Level ◽  
Ncbi Taxonomy ◽  
Dna Barcodes ◽  
Voucher Specimen ◽  
Biodiversity Information

DNA barcoding technology has become employed widely for biodiversity and molecular biology researchers to identify species and analyze their phylogeny. Recently, DNA metabarcoding and environmental DNA (eDNA) technology have developed by expanding the concept of DNA barcoding. These techniques analyze the diversity and quantity of organisms within an environment by detecting biogenic DNA in water and soil. It is particularly popular for monitoring fish species living in rivers and lakes (Takahara et al. 2012). BOLD Systems (Barcode of Life Database systems, Ratnasingham and Hebert 2007) is a database for DNA barcoding, archiving 8.5 million of barcodes (as of August 2020) along with the voucher specimen, from which the DNA barcode sequence is derived, including taxonomy, collected country, and museum vouchered as metadata (e.g. https://www.boldsystems.org/index.php/Public_RecordView?processid=TRIBS054-16). Also, many barcoding data are submitted to GenBank (Sayers et al. 2020), which is a database for DNA sequences managed by NCBI (National Center for Biotechnology Information, US). The number of the records of DNA barcodes, i.e. COI (cytochrome c oxidase I) gene for animal, has grown significantly (Porter and Hajibabaei 2018). BOLD imports DNA barcoding data from GenBank, and lots of DNA barcoding data in GenBank are also assigned BOLD IDs. However, we have to refer to both BOLD and GenBank data when performing DNA barcoding. I have previously investigated the registration of DNA barcoding data in GenBank, especially the association with BOLD, using insects and flowering plants as examples (Nakazato 2019). Here, I surveyed the number of species covered by BOLD and GenBank. I used fish data as an example because eDNA research is particularly focused on fish. I downloaded all GenBank files for vertebrates from NCBI FTP (File Transfer Protocol) sites (as of November 2019). Of the GenBank fish entries, 86,958 (7.3%) were assigned BOLD identifiers (IDs). The NCBI taxonomy database has registrations for 39,127 species of fish, and 20,987 scientific names at the species level (i.e., excluding names that included sp., cf. or aff.). GenBank entries with BOLD IDs covered 11,784 species (30.1%) and 8,665 species-level names (41.3%). I also obtained whole "specimens and sequences combined data" for fish from BOLD systems (as of November 2019). In the BOLD, there are 273,426 entries that are registered as fish. Of these entries, 211,589 BOLD entries were assigned GenBank IDs, i.e. with values in “genbank_accession” column, and 121,748 entries were imported from GenBank, i.e. with "Mined from GenBank, NCBI" description in "institution_storing" column. The BOLD data covered 18,952 fish species and 15,063 species-level names, but 35,500 entries were assigned no species-level names and 22,123 entries were not even filled with family-level names. At the species level, 8,067 names co-occurred in GenBank and BOLD, with 6,997 BOLD-specific names and 599 GenBank-specific names. GenBank has 425,732 fish entries with voucher IDs, of which 340,386 were not assigned a BOLD ID. Of these 340,386 entries, 43,872 entries are registrations for COI genes, which could be candidates for DNA barcodes. These candidates include 4,201 species that are not included in BOLD, thus adding these data will enable us to identify 19,863 fish to the species level. For researchers, it would be very useful if both BOLD and GenBank DNA barcoding data could be searched in one place. For this purpose, it is necessary to integrate data from the two databases. A lot of biodiversity data are recorded based on the Darwin Core standard while DNA sequencing data are sometimes integrated or cross-linked by RDF (Resource Description Framework). It may not be technically difficult to integrate these data, but the species data referenced differ from the EoL (The Encyclopedia of Life) for BOLD and the NCBI taxonomy for GenBank, and the differences in taxonomic systems make it difficult to match by scientific name description. GenBank has fields for the latitude and longitude of the specimens sampled, and Porter and Hajibabaei 2018 argue that this information should be enhanced. However, this information may be better described in the specimen and occurrence databases. The integration of barcoding data with the specimen and occurrence data will solve these problems. Most importantly, it will save the researcher from having to register the same information in multiple databases. In the field of biodiversity, only DNA barcode sequences may have been focused on and used as gene sequences. The museomics community regards museum-preserved specimens as rich resources for DNA studies because their biodiversity information can accompany the extraction and analysis of their DNA (Nakazato 2018). GenBank is useful for biodiversity studies due to its low rate of mislabelling (Leray et al. 2019). In the future, we will be working with a variety of DNA, including genomes from museum specimens as well as DNA barcoding. This will require more integrated use of biodiversity information and DNA sequence data. This integration is also of interest to molecular biologists and bioinformaticians.

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