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Gadus morhua

Gadus morhua, also known as the Atlantic cod, is a marine fish species belonging to the cod family Gadidae.
This commercially and ecologically important species is found in the northern Atlantic Ocean, ranging from the Barents Sea to the Bay of Biance.
Gadus morhua is a demersal fish, typically inhabiting coastal and offshore waters at depths of up to 600 meters.
It is characterized by a robust, elongated body, a large, rounded head, and three dorsal fins.
The species plays a crucial role in marine ecosystems, serving as both a predator and prey.
Understanding the biology, behavior, and environmental factors affecting Gadus morhua is of great interest to researchers and conservationists working to manage this iconic fish species.

Most cited protocols related to «Gadus morhua»

To evaluate assembly quality, several validation tools were applied. Both REAPR [36 (link)] and FRCbam [35 (link)] use paired Illumina reads to evaluate an assembly, giving a measure of the number of potential errors. Instead of using the raw reads, we used error corrected reads dumped from the ALLPATHS-LG assembly, reducing the running time of both the alignment step and the tools themselves.
Isoblat was used to determine how much of the Newbler transcriptome of 454 and Sanger reads was aligned to the different assemblies [37 ]. It was run with default options.
CEGMA is a tool that annotates 458 highly conserved genes in an assembly, and it can be used to assess the completeness of the genome assembly [38 (link), 65 (link)]. Version 2.4 was applied to all different versions of the assemblies.
BUSCO is similar to CEGMA in that it assesses the completeness of a genome by trying to find a set of universal single-copy orthologs [39 (link)]. In this study, we used the actinopterygii specific set of 3698 genes to investigate the completeness of the assemblies generated here.
A linkage map for Atlantic cod has been created from a set of 9355 SNPs (personal communication, Sigbjørn Lien). We used blat_parse.py to compare the linkage map to different assemblies to evaluate the completeness and long-range correctness. Briefly, this involved mapping the flanking sequences of the SNPs to the assembly using BLAT version 3.5 [88 (link)] and options "-noHead -maxIntron=100 genome.fasta flanking_sequences.fasta" and then parsing the output file while comparing with the order of the SNPs in the linkage map. A conflict with the linkage map is defined as a sequence that had SNPs mapped to it belonging to more than one linkage group. Some SNPs mapped equally well to more than one linkage group, and these were excluded since we could not confidently judge which mapping was correct.
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Publication 2017
Chromosome Mapping Gadus morhua Genes Genome Single Nucleotide Polymorphism Spleen Transcriptome
In total, 5 × 96 well plates of selected DNA samples were genotyped using the two Illumina Golden Gate panels. Two plates consisted of two references families, B33 and B87 with two parents and 91 progeny. The three remaining plates consisted of wild cod populations. In total, seven populations of Atlantic cod were genotyped for this study, with an average of 23 fish genotyped per population. The geographic location of collections covers the North Atlantic with a more detailed sampling for Atlantic Canadian populations. DNA extraction methods have been described previously [46 ]. In summary, fin clips or muscle tissue samples were taken and placed in 95% ethanol. DNA was extracted using the Qiagen DNAeasy 96 extraction kit (Qiagen, Mississauga, ON). The kit protocol utilizes a buffer containing proteinase K to lyse the tissue. The lysate was loaded onto a plate where the DNA binds to a silica membrane in the presence of chaotropic salt. Proteins and other contaminants were washed from the bound DNA using wash buffers and centrifugation. DNA was then eluted in water.
High-throughput genotyping was performed at the McGill/Genome Quebec Innovation Centre using the GoldenGate assay.
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Publication 2010
Biological Assay Buffers Centrifugation Clip Endopeptidase K Ethanol Fishes Gadus morhua Genome Muscle Tissue Parent Population Group Proteins Salts Silicon Dioxide Tissue, Membrane Tissues
We sampled 316 Atlantic cod (Figure 1 and Table 1), consisting of 144 individuals from 5 locations from the Northwest Atlantic, 39 Frontal and 39 Coastal ecotype individuals from Iceland (classified by data storage tag (DST) profiles, see Pálsson and Thorsteinsson, 2003 ; Thorsteinsson et al., 2012 ), and 50 NEAC and 44 NCC individuals from the Northeast Atlantic.
DNA was extracted from muscle tissue using the E.Z.N.A Tissue DNA kit (Omega Bio-Tek, Norcross, GA, USA) and normalized to 100 ng μl−1. All samples were individually genotyped using a 12K Illumina SNP chip for which 8165 SNPs were polymorphic in this data set, had a call rate of >95% and showed Mendelian inheritance in a separate set of individuals with a pedigree. Out of these SNPs, 602 were close to selected candidate genes, 1470 were nonsynonymous SNPs and the remaining 5857 SNPs were randomly distributed throughout the 23 different linkage groups (LGs). Genotype clustering was performed in Genome Studio 2011.1 (Illumina Inc., San Diego, CA, USA). The nomenclature of the LGs follows Hubert et al. (2010) (link) and the order of the SNPs are as in Berg et al. (2016) (link). All 8165 SNPs used were mapped to the published Atlantic cod genome (ATLCOD1C) (Star et al., 2011 (link)) in the same way as in Berg et al. (2016) (link) and details are available in dbSNP (www.ncbi.nlm.nih.gov/snp).
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Publication 2017
DNA, Z-Form DNA Chips Ecotype Gadus morhua Genes Genome Genotype Muscle Tissue Neutrophil Pattern, Inheritance Tissues
All read datasets originated from DNA extracted from the same individual fish, designated NEAC_001, a wild-caught male specimen of the North-East Arctic population, sampled with the main purpose for sequencing initiative of the Atlantic cod genome and described in detail in [5 ]. We always strive to limit the effect of our sampling needs on populations and individuals. This individual was sampled in connection with a research survey conducted by Norwegian Institute for Water Research as part of part of larger hauls for stock assessments. The fish were humanely sacrificed by administration of other sedatives before sampling in accordance with the guidelines set by the ’Norwegian consensus platform for replacement, reduction and refinement of animal experiments’ (www.norecopa.no). See Additional file 1: Table S1 for an overview of different DNA datasets generated from this individual.
Roche/454 reads were sequenced as described previously [5 ]. The Roche/454 software gsRunProcessor version 2.6 was used to redo basecalling for all sequencing runs generated for the NEAC_001 sample [5 ].
One hundred eighty bp insert size and 300 bp insert size libraries were constructed with Illumina DNA paired end sample preparation reagents and sequenced at the Norwegian Sequencing Centre. The 5 kbp insert size libraries were prepared with the Illumina Mate Pair gDNA reagents and sequenced at the McGill University and Génome Québec Innovation Centre. All Illumina libraries were sequenced on the HiSeq 2000 using V3 chemistry 100 bp paired end reagents.
PacBio SMRT sequencing was performed on PacBio RS instrument (Pacific Biosciences of California Inc., Menlo Park, CA, USA) at the Norwegian Sequencing Centre (www.sequencing.uio.no/) and at Menlo Park. Long insert SMRTbell template libraries were prepared at NSC (10 kbp insert size) and Menlo Park (22 kbp insert size) according to PacBio protocols. In total, 147 SMRT-cells were sequenced using C2 and XL polymerase binding and C2 and XL sequencing kits with 120 min acquisition. Approximately 7.6 Gb of library bases were produced from 10 kb SMRTbell libraries sequenced on 102 SMRT cells using C2/C2 chemistry (average polymerase read length of 3 kb). The 22 kb SMRTbell library was sequenced using C2/XL (22 SMRT cells, average polymerase read length of 4.5 kb) and XL/XL (23 SMRT cells, average polymerase read length of 5 kb) chemistry producing 5.5 Gb of library bases.
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Publication 2017
Cells DNA Library Fishes Gadus morhua Genome Men NCOR2 protein, human Population Group Sedatives
To detect variations in the L. crocea genome, we chose nine species (Larimichthys crocea, Gasterosteus aculeatus, Takifugu rubripes, Tetraodon nigroviridis, Oryzias latipes, Gadus morhua, Danio rerio, Gallus gallus, and Homo sapiens). Proteins that were greater than 50 amino acids in size were aligned by BLAST (-p blastp-e 1e-7), and Treefam [70 (link)] was used to construct gene families for comparison.
The 2,257 single-copy genes from the gene family analysis were aligned using MUSCLE [71 (link)], and alignments were concatenated as a single data set. To reduce the error topology of phylogeny by alignment inaccuracies, we used Gblock [72 (link)] (codon model) to remove unreliably aligned sites and gaps in the alignments. The phylogenetic tree and divergence time were calculated using the PAML 3.0 package [19 (link)].
Gene family expansion and contraction analyses were performed by cafe [73 (link)]. For optical, olfactory receptor, and auditory system-related genes, we downloaded the genes from Swissprot or Genebank and predicted their candidates using BLAST and Genewise to determinate copy numbers. Pseudogenes produced by frame shift were removed. Phylogenetic analysis of the expanded gene families was based on maximum likelihood methods by PAML 3.0 [19 (link)], and the phylogenetic tree was represented by EvolView [74 (link)].
Amino acid sequences from six representative teleosts (Larimichthys crocea, Gasterosteus aculeatus, Danio rerio, Oryzias latipes, Takifugu rubripes, and Tetraodon nigroviridis) were aligned by BLAST (-p blastp-e 1e-5-m 8), and reciprocal-best-BLAST-hit methods were used to define orthologous genes in six teleost fish. Because alignment errors are an important concern in molecular data analysis, we made alignments of codon sequences, which are nucleotide sequences that code for proteins, using the PRANK aligner [75 (link)]. Positive selection was inferred, based on the branch-site Ka/Ks test by codeml in the PAML 3.0 package [19 (link)].
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Publication 2015
Amino Acids Amino Acid Sequence Auditory Perception Base Sequence Chickens Codon Fishes Gadus morhua Genes Genome Homo sapiens Muscle Tissue Olfactory Receptor Cells Oryzias latipes Proteins Pseudogenes Reading Frames Sequence Alignment Takifugu rubripes Zebrafish

Most recents protocols related to «Gadus morhua»

We start from a previously established, state-dependent bioenergetics model (Jørgensen and Fiksen, 2006 (link)) to study the impact of parasite infections on growth in fish. The model was first developed for the Northeast Arctic stock of Atlantic cod (Jørgensen and Fiksen, 2006 (link)) to study growth and fishing-induced changes in maturation age and size. The model predicted complex life history phenomena, such as skipped spawning (Jørgensen et al., 2006 (link)) at levels that were confirmed in large-scale field studies (Skjæraasen et al., 2012 (link)) and has later been extended with a migration trait to predict spawning distribution (Jørgensen et al., 2008 (link);Opdal and Jørgensen, 2016 (link)). In the present study, modifications that describe infections with parasitic nematodes are added to resolve the emerging patterns in growth and condition, and the model is reparameterized for the Eastern Baltic cod. Here, we first give a brief explanation of the model with focus on what has changed when including parasites. For further details, we refer to the online supplementary material that contains a full model description. We also provide justification for the updated parameters to represent the biology of Eastern Baltic cod, while all parameters are listed in Supplementary
Table S1
(supplement). This version of the model was fully recoded and implemented in Python (Harris et al., 2020 (link); Python Software Foundation, 2020 ), and plots were made in R (R Core Team, 2016 ).
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Publication 2023
Bioenergetics Dietary Supplements Fishes Gadus morhua Nematoda Parasites Parasitic Diseases Python
Many of the parameters in the original model made for Northeast Arctic stock of Atlantic cod were updated to better describe the biology of the Eastern Baltic cod stock (Supplementary
Table S1
). In terms of energy intake, we tested the difference in the amount of surplus energy when using two different feeding levels. There have been considerable historical changes in food availability for the Eastern Baltic cod, resulting in different satiation levels in different periods. We therefore ran the model first with the historic and then with a more recent satiation level by using different values for . These were parameterised based on two feeding regimes identified by Neuenfeldt et al. (2020) (link).
Minimum liver weight in relation to length was parameterized with data from 828 post-spawned non-infected Western Baltic cod caught between 1996 and 2018. We used data from the western stock instead of the eastern stock to avoid any bias related to infections on the estimated minimum liver weight. The minimal liver weight in relation to length was estimated by using a power law function. This resulted in an exponent of 3.17 for Western Baltic cod (ICES, 2019a ), which yielded unrealistic liver weights compared to observations for Eastern Baltic cod, and an exponent of 3.4 was used instead, based on better agreement between observed and modelled liver weights (Table 1).
The relationship between the modelled weight and length from the bioenergetics model was validated by fitting a weight-at-length relationship using monitoring data from the Eastern Baltic cod stock from 2010 to 2020 (N = 828, ICES, 2019a ).
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Publication 2023
Bioenergetics Food Gadus morhua Ice Infection Liver Satiation
Our dataset consisted of 32 samples of cod fillets (146 g ± 19 g) divided into three groups from a total of sixteen Atlantic cod (Gadus morhua) fish. The raw materials were provided by Tromsø Aquaculture Research Station, Norway. Each sample was taken from the same loin location and vacuum packed (99%) in plastic pouches. Group 1 consisted of 11 random fillets which were frozen to − 5 °C; Group 2 consisted of 11 random fillets which were frozen in still air to − 20 °C; Group 3 consisted of 10 random fillets which were blast frozen to − 40 °C. After freezing for 5 days, the samples were thawed rapidly in a 4 °C circulating water bath for 2 h.
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Publication 2023
Bath Fishes Gadus morhua Vacuum
Approximately 10 g samples of muscle (±0.0001 g) in duplicate were dried to constant weight at 105 °C. Then, the samples were combusted at 480 °C for 12 h using laboratory furnaces Nabertherm P330) (Nabertherm GmbH, Lilienthal, Germany). The white ash was dissolved in 1 M HNO3 (Suprapur-Merck, Darmstadt, Germany). Each sample was then quantitatively transferred using deionized water (Merck-Millipore Elix Advantage 3, Burlington, MA, USA) into a volumetric flask of volume 25 mL.
The contents of these metals, except for cadmium, sodium, and potassium, were determined using atomic absorption spectrometry (iCE 3500 Series AAS, Thermo Scientific, Waltham, MA, USA), using cathode lamps appropriate for the given elements and background correction (a deuterium lamp). The absorption technique (acetylene-air flame) was applied to determine the content of Zn, Cu, Fe, Mn, Ca, and Mg. When determining calcium to eliminate the influence of phosphorus, the solution of lanthanum chloride was added (0.5%La+3) to all samples and standards. The absorption wavelengths were as follows: 248.3 nm for iron, 213.9 nm for zinc, 324.8 nm for copper, 279.5 nm for manganese, 285.2 nm for magnesium, and 422.7 nm for calcium. The detection limits (LOD) were 0.125 mg/kg for Fe, 0.1 mg/kg for Zn, 0.05 mg/kg for Cu, 0.05 mg/kg for Mn, 0.025 mg/kg for Mg, and 0.5 mg/kg for Ca.
The flame emission technique (acetylene-air flame) was used to determine sodium and potassium content at 589.0 nm and 766.5 nm, respectively. Atomic absorption spectrometry (iCE 3500 Series AAS, Thermo Scientific, Waltham, MA, USA) was used for this purpose. The detection limits (LOD) were 1 mg/kg for Na and 5 mg/kg for K.
The concentration of cadmium was measured using flameless atomic absorption spectrometry FAAS (Thermo Scientific iCE 3500, Waltham, MA, USA) with ZEEMAN background correction and atomization in a graphite cuvette. The cadmium determination was carried out under the following conditions: absorption wavelength for cadmium—228.8 nm; lamp current—50%; slit—0.5 nm; sample volume—20 μL; modifier—Mg(NO3)2; dry—100 °C; ash—600 °C; and atomize—1000 °C. The detection limit (LOD) was 0.00007 mg/kg.
Four blanks and four standards were analyzed with each batch of samples. Calibration curves were prepared using four standard solutions (1000 μg/L) with 0.1 M HNO₃ (J.T.Baker®, Netherlands). The calibration curves were linear within the range of metal concentration (regression coefficients R2 ≥ 0.999).
The quality control of methods was tested using the reference material BCR CRM 422 (lyophilized muscle tissue of cod, Gadus morhua (L.)) with a certified value of mercury. The recovery rates were 105.0% Zn, 103.0% Cu, 96% Fe, 103% Mn, 102.9% Cd, and 100.2% Hg, respectively (n = 4).
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Publication 2023
Acetylene Cadmium Calcium, Dietary Copper Deuterium FAH protein, human Gadus morhua Graphite Iron lanthanum chloride Magnesium Manganese Metals Muscle Tissue NM 324 Phosphorus Potassium Sodium Spectrophotometry, Atomic Absorption Zinc
A total of 45 dried salted cods (2–3 kg of dry weight; n = 15 samples/origin) were used in this study. The Atlantic cod was fished in the Atlantic northeast (FAO 27 area) within the Exclusive Economic Zones (EEZ) of Norway (n = 15) and Iceland (n = 15), while the Pacific cod was caught in the Pacific northeast (FAO 67 area) within the Alaska EEZ (n = 15). The dried salted cods used herein were randomly selected among specimens harvested between January and April of 2018, sharing analogous fishing and processing methodologies, and were all collected at Riberalves Company (Carvalhal, Torres Vedras, Portugal).
According to Good Manufacturing Practices of Riberalves, the average time between cod harvesting and the salting and drying processes was two to three months. Salting and drying processes were performed according to commercial procedures for specimens weighing 2–3 kg.
All samples for the various analyses were taken from the central portion of loins after the five to six days of the drying process had been completed. Skin and bones were manually removed, and the remaining part of muscle tissue (designated hereafter as the edible portion) was cut into thin slices before blending in a food processor (Moulinex, France). Half of the homogenised material was vacuum packed and frozen/stored at −20 °C until further analysis, within one month, while the other half was freeze dried (−60 °C and 2.0 h Pa) up to constant weight, using an Edwards Modulyo freeze dryer (Edwards High Vacuum International, West Sussex, UK), packed and kept at room temperature, and analysed within one month. In all assays, the 45 samples were analysed in duplicate, and the results were accepted when the coefficient of variation between duplicates was below 5%. Whenever duplicates were associated with a higher coefficient of variation, the analytical procedure was repeated. The average value obtained for each sample analysis was used in the statistical analysis (n = 45; 15 samples/cod group).
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Publication 2023
Biological Assay Bones Cods Food Freezing Gadus morhua Muscle Tissue Skin Vacuum

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More about "Gadus morhua"

Explore the fascinating world of the Atlantic cod (Gadus morhua), a commercially and ecologically vital marine species found in the northern Atlantic Ocean.
This robust, elongated fish, characterized by its large, rounded head and three dorsal fins, plays a crucial role in marine ecosystems as both a predator and prey.
Dive deeper into the biology and behavior of this iconic species.
Discover how the Atlantic cod's demersal nature, typically inhabiting coastal and offshore waters at depths up to 600 meters, shapes its adaptations and interactions within the ecosystem.
Learn about the species' importance in commercial fishing and the efforts of researchers and conservationists to understand and manage this valuable resource.
Enhance your research on the Atlantic cod with cutting-edge tools and techniques.
Leverage AI-driven protocol optimization from PubCompare.ai to streamline your workflow and unlock new insights.
Explore protocols from literature, preprints, and patents, and utilize AI-powered comparisons to identify the best methodologies and products for your research, such as the DMA-80 freeze dryer, RNAlater for sample preservation, and the HiSeq 2500 and HiSeq 2000 sequencing platforms.
Optimize your experiments with the TruSeq Library Prep Kit, Hot Start Taq DNA polymerase, and dNTPs, ensuring high-quality data.
Analyze your results with the Agilent Bioanalyzer, and preserve your samples using the FreeZone freeze dryer.
Embrace the power of cutting-edge tools and techniques to unlock the full potential of your Gadus morhua research.