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Aeromonas hydrophila

Aeromonas hydrophila is a gram-negative, rod-shaped bacterium commonly found in aquatic environments.
It is an opportunistic pathogen that can cause a variety of infections in humans and animals, including skin and soft tissue infections, gastroenteritis, and septicemia.
Aeromonas hydrophila is of particular concern in immunocompromised individuals and can be a significant public health issue, especially in developing countries with poor water quality.
Researchers studying this bacterium can optimize their work with PubCompare.ai, an AI-driven platform that enhances reproducibility and accuracy.
PubCompare.ai helps researchers easily locate protocols from literature, preprints, and patents, and uses intelligent comparisons to identify the best protocols and products for their needs.
This can improve the efficiency and quaility of Aeromons hydrophila studies, leading to more reliable and impactful research.

Most cited protocols related to «Aeromonas hydrophila»

For evaluation of assay performance, genomic materials or reference strains were obtained from American Tissue and Culture Collection (ATCC, Manassas, VA) or BEI resources for adenovirus 1, 5, 40 and 41, human cytomegalovirus, enterovirus 71, Epstein-Barr virus, Aeromonas hydrophila, Bacteroides fragilis, Campylobacter coli, Campylobacter upsalensis, Campylobacter hyointestinalis, Campylobacter jejuni, Helicobacter pylori, Listeria monocytogenes, Mycobacterium tuberculosis, Plesiomonas shigelloides, Salmonella enterica, Vibrio parahaemolyticus, Yersinia enterocolitica, Blastocystis hominis, Cryptosporidium hominis, Cryptosporidium meleagridis, Schistosoma mansoni. Cryptosporidium parvum and Encephalitozoon intestinalis were purchased from Waterborne Inc. (New Orleans, LA). PCR amplicons were generated from the relevant positive clinical samples for Ancyclostoma duodenale, Necator americanus, Strongyloides stercoralis, Cyclospora cayetanensis, Cystoisospora belli, and Enterocytozoon bieneusi. For comparison between stool and swab (FLOQSwabs; Copan Italia, Brescia, Italy), 129 consecutive swab samples were collected from children under five admitted for acute diarrhea in Haydom Lutheran Hospital, Tanzania. A matched stool sample from the same patient was obtained as soon as feasible within the same day. Raw stool samples were transported with a cold chain to the lab within 6 hours and stored at -80°C until testing. Swabs were stored at room temperature until testing. For comparison between different extraction methods and validation of the newly developed qPCR assays on clinical samples, we chose 246 archived stool samples collected in Tanzania, Bangladesh, Nepal, Pakistan, and India through the MAL-ED project (the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development [6 (link)]) in order to obtain specimens positive for 30 diverse enteropathogens. All sites including Haydom Global Health Institute, Tanzania, Aga Khan University, Pakistan, Armed Forces Research Institute of Medical Sciences, Thailand, International Centre for Diarrhoeal Disease Research, Bangladesh, Christian Medical College, India, received ethical approval from their respective governmental, local institutional, and collaborating institutional ethics review boards. Written informed consent was obtained from the parent or guardian of every child.
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Publication 2016
Adenovirus Infections Aeromonas hydrophila Bacteroides fragilis Biological Assay Blastocystis hominis Campylobacter Campylobacter coli Campylobacter hyointestinalis Campylobacter jejuni Child Children's Health Cryptosporidium Cryptosporidium parvum Cyclospora Diarrhea Encephalitozoon intestinalis Enterocytozoon bieneusi Enterovirus Infections Epstein-Barr Virus Feces Genome Helicobacter pylori Human Herpesvirus 5 Infection Legal Guardians Listeria monocytogenes Malnutrition Military Personnel Mycobacterium tuberculosis Necator americanus Parent Patients Plesiomonas shigelloides Salmonella enterica Schistosoma mansoni Strains Strongyloides stercoralis Tissues Vibrio parahaemolyticus Yersinia enterocolitica
In this work we analysed the 96 bacterial genome assemblies available from GAGE-B paper. The genome size of the organism varied from 2.9 MB to 5.4 MB and had a GC percentage from 33 and 69. The analysed genomes were from the bacteria Aeromonas hydrophila SSU (access number NC 008570), Bacillus cereus ATCC 10987 and VD118 (NC 003909, NC 005707), Bacteroides fragilisHMW615 (NC 016776), Mycobacterium abscessus 6G-0125–R (NC 010394, NC 010397), Rhodobacter sphaeroides 2.4.1 (NC 007488, NC 007489, NC 007490, NC 007493, NC 007494, NC 009007, NC 009008), Staphylococcus aureus M0927 (NC 010063, NC 010079, NC 012417), Vibrio cholerae CO1032 (NC 002505, NC 002506) and Xanthomonas axonopodis pv. Manihotis UA323 (NC 016010). The genomic sequences of these organisms were obtained from the NCBI Genbank and used as reference. Two main types of algorithm: (i) the overlap-layout-consensus (OLC) and (ii) algorithms based on a de-Bruijn graph were used in the assemblies carried out by GAGE-B and they are listed in Table S323 (link)24 (link)25 (link)26 (link)27 (link)28 (link)29 (link)30 (link). It is worth noting that the MaSuRCA assembler is the only one that uses both algorithms.
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Publication 2016
Aeromonas hydrophila Bacillus cereus Bacteria Bacteroides GC33 Genome Genome, Bacterial Mycobacterium abscessus Rhodobacter sphaeroides Staphylococcus aureus Vibrio cholerae Xanthomonas axonopodis
Protein sequences from genomic fragments listed in Table 1 were extracted and aligned against the Position Scoring Specific Matrices (PSSMs) of the COG section [16 (link)] from the Conserved Domain Database (CDD) [40 (link)]. Alignments were performed with the rpsblast program and each of them was manually checked to assess their consistency.
The genomic fragments and their annotations were either downloaded from the EMBL nucleotide databank (for Rhizobium leguminosarum, Edwardsiella tarda and Salmonella enterica) or extracted from the Genome Reviews files when the complete genome was available (Pseudomonas aeruginosa, Vibrio cholerae, Burkholderia pseudomallei, Burkholderia mallei and Aeromonas hydrophila). File identifiers and genomic locations are reported in Table 1.
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Publication 2009
Aeromonas hydrophila Amino Acid Sequence Burkholderia mallei Burkholderia pseudomallei Edwardsiella tarda Genome Nucleotides Pseudomonas aeruginosa Rhizobium leguminosarum Salmonella enterica Vibrio cholerae

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Publication 2023
Aeromonas hydrophila Ala-Trp-Arg-His-Pro-Gln-Phe-Gly-Gly Arabinose BAG1 protein, human Cells Centrifugation Chloramphenicol Cloning Vectors Codon Escherichia coli Freezing Kanamycin Plasmids Proteins Smear Layer Streptococcal Infections Streptococcus pneumoniae Synthetic Genes TEV protease
We studied the 44 existing annotated Aeromonas genomes (up to 23 of July 2014) in the GenBank Genome database of the NCBI (http://www.ncbi.nlm.nih.gov/genome/?term=Aeromonas) of which only five belonged to type strains (Table 1). Of these, 20 were labeled as belonging to A. hydrophila (including the type strain ATCC 7966T), seven as A. veronii, five as A. salmonicida subspecies (with one type strain of the subsp. pectinolytica 34melT), two as A. caviae, two as Aeromonas sp., one as both species A. hydrophila/A. dhakensis and one of each of the species A. dhakensis, A. media, A. jandaei, A. enteropelogenes (synonym of A. trota), A. diversa (CDC 2478-85T), A. molluscorum (848T = CECT 5864T) and A. taiwanensis (LMG 24683T). The 44 genomes were re-identified using the MLPA proposed by Martínez-Murcia et al. [19 (link)] with the sequences of six housekeeping genes (gyrB, rpoD, recA, dnaJ, gyrA and dnaX) and performing ANI calculations. The genes were retrieved from each individual genome and were aligned with those of an in house database used to define recently published species and that contained those genes for all the type strains of the known Aeromonas spp. [1 (link), 19 (link)]. In three genomes (Aeromonas sp. 159, A. enteropelogenes 1991CR and A. salmonicida subsp. salmonicida 34melT) some genes were missing, presumably due to lower genome coverage, and the analysis was performed with four or five available genes. Genetic distances and clustering of the concatenated sequences were obtained using Kimura’s two-parameter model and phylogenetic trees were constructed with the neighbor-joining method using the MEGA software version 6 [26 (link)]. The web-based service ANI calculator (http://enve-omics.ce.gatech.edu/ani/index) was used for comparing the 44 Aeromonas genomes against the one of A. hydrophila (ML09-119) used as an inter-species reference. For the intra-species ANI calculation, genomes were compared with the type strain when available or with a selected genome of the same species.
To determine the consistency of the results obtained with the ANI calculator web-interface in relation to the other two ANI calculating tools available at EzGenome (http://www.ezbiocloud.net/ezgenome/ani) and JSpecies (http://www.imedea.uib.es/jspecies), the three methods were evaluated in parallel with a subset of 15 genomes. Three-independent calculations were performed for each genome comparison using the three tools.
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Publication 2015
Aeromonas Aeromonas hydrophila Genes Genes, Housekeeping Genome Multiplex Ligation-Dependent Probe Amplification Reproduction Strains

Most recents protocols related to «Aeromonas hydrophila»

To detect the immune responses of LEAPs during infection, rainbow trout and grass carp were intraperitoneally injected with 100 µL Aeromonas salmonicida BG1 (29 (link)) suspension culture (1×107 CFU/mL) and 200 µL Aeromonas hydrophila XS91-4-1 (30 (link)) suspension culture (8×106 CFU/mL) respectively, while the control fish were intraperitoneally injected with PBS instead after anesthetized with MS222 (1:10000). At 12 h, 1 d, 3 d, 5 d, and 7 d post-injection, the liver and gut of four individuals were sampled from each group. After the RNA extraction and cDNA synthesis, the expression levels of LEAPs in infected and control fish were determined by qPCR. The expression changes of LEAPs after infection were calculated using the 2−ΔΔCt method, with β-actin as the internal reference.
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Publication 2023
Actins Aeromonas hydrophila Aeromonas salmonicida Anabolism DNA, Complementary Fishes Grass Carp Infection Liver Oncorhynchus mykiss Response, Immune
The antibacterial activities were evaluated by the conventional broth dilution assay [45 (link)]. Five phytopathogenic bacteria (Xanthomonas citri pv. malvacearum, X. axonopodis, Comamonas terrigena, Pseudomonas syringae, and Dickeya chrysanthemi), four animal pathogenic bacteria (Escherichia coli, P. aeruginosa, Staphylococcus aureus, and Bacillus subtilis), and eight marine fouling bacteria (Aeromonas hydrophila, A. salmonicida, Enterobacter cloacae, P. fulva, Vibrio anguillarum, V. harveyi, Photobacterium halotolerans, and P. angustum) were used, and cipofloxacin (CPFX) and DMSO were used as the positive and negative control, respectively. The antibacterial activity assay was carried out by using previously described methods [22 (link),23 (link)]. The tested concentrations of isolated compounds and CPFX were 100 µM, 50 µM, 25 µM, 12.5 µM, 6.25 µM, 3.13 µM, 1.56 µM, 0.78 µM, 0.39 µM, and 100 µM, 50 µM, 25 µM, 12.5 µM, 6.25 µM, 3.13 µM, 1.56 µM, 0.78 µM, 0.39 µM, 0.20 µM, 0.10 µM, 0.049 µM, and 0.024 µM, respectively.
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Publication 2023
Aeromonas hydrophila Animals Anti-Bacterial Agents Bacillus subtilis Bacteria Biological Assay Comamonas terrigena Enterobacter cloacae Escherichia coli Marines Pathogenicity Pectobacterium chrysanthemi Photobacterium halotolerans Pseudomonas aeruginosa Pseudomonas syringae Staphylococcus aureus Sulfoxide, Dimethyl Technique, Dilution Vibrio anguillarum Xanthomonas citri
A total of 207 carbapenemase-producing strains collected from patients and hospital sewages were enrolled in this study, including Escherichia coli (n = 36), Klebsiella pneumoniae (n = 125), Klebsiella oxytoca (n = 25), Klebsiella variicola (n = 1), Klebsiella michiganensis (n = 1), Enterobacter kobei (n = 1), Enterobacter cloacae (n = 2), Enterobacter xiangfangensis (n = 1), Citrobacter freundii (n = 3), Citrobacter koseri (n = 1), Raoultella ornithinolytica (n = 2), Aeromonas hydrophila (n = 3), and P. aeruginosa (n = 6). The strains were inoculated onto Columbia blood agar (bioMérieux, Marcy l’Etoile, France) and cultivated overnight at 35 °C with 5% CO2. Vitek MS (bioMérieux, Marcy l’Etoile, France) was used for the preliminary species identification, and whole-genome sequencing was performed for the accurate identification of species and resistance genes.
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Publication 2023
Aeromonas hydrophila Agar Blood carbapenemase Citrobacter freundii Citrobacter koseri Enterobacter cloacae Enterobacter hormaechei subsp. xiangfangensis Enterobacter kobei Escherichia coli Genes Klebsiella michiganensis Klebsiella oxytoca Klebsiella pneumoniae Klebsiella variicola Patients Pseudomonas aeruginosa Raoultella ornithinolytica Strains
Aeromonas hydrophila strain employed in this study was isolated from diseased Carassius auratus. Gibel carp (C. auratus gibelio, 5.3 ± 1.1 g), provided by the experimental station of Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, were acclimatized in indoor water recirculation culture system at 28 ± 1°C for 2 weeks. A 2% commercial feed was given twice per day according to body weight. This study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals. The protocol was approved by the Committee on the Ethics of Animal Experiments of the Freshwater Fisheries Research Center (Authorization Number: 20220214001). All surgery was performed under MS-222, and all efforts were made to minimize suffering.
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Publication 2023
Aeromonas hydrophila Animals, Laboratory Body Weight Carps Chinese Goldfish MS-222 Operative Surgical Procedures Strains
Minimal inhibitory concentration (MIC) was determined as previous study (Zhu et al., 2019 (link)). GA (97%, Aladdin, China) was dissolved with 100% DMSO to obtain a stock solution of 25.6 mg/mL, then diluted with Nutrient Broth (NB) medium and the final concentrations of GA in culture medium were 256, 128, 64, 32, 16, 8 μg/mL, respectively. A. hyrophila at logarithmic growth period was adjusted to 1 × 107 CFU/ml, 50 μL cell suspension was inoculated into 5 mL NB medium with different concentration of GA, negative, solvent and positive controls containing only NB, NB with DMSO and Enrofloxacin (0.1 μg/mL) including bacteria, and then incubated at 28°C for 24 h with shaking (180 rpm). The test was repeated twice, and each group was detected with three parallels. The optical density (OD) of culture at 600 nm was measured using a Multiskan GO spectrophotometer. The MIC was defined as the lowest concentration of the drug that inhibited growth of target bacteria by >90%.
Aeromonas hydrophila was inocubated into NB medium with the different final concentration of GA (128 μg/ml, 64 μg/ml, 32 μg/ml, 16 μg/ml, 8 μg/ml, and 4 μg/ml), Enrofloxacin (0.1 μg/ml) and incubated at 28°C. The growth curve was detected with the OD600 at 0, 2, 4, 6, 8, 10, 12, 22, 24, and 26 h. The experiment was replicated in triplicate.
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Publication 2023
Aeromonas hydrophila Bacteria Cells Enrofloxacin Minimum Inhibitory Concentration Nutrients Pharmaceutical Preparations Solvents Sulfoxide, Dimethyl Vision

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Aeromonas hydrophila is a gram-negative, rod-shaped bacterium. It is an aquatic organism commonly found in fresh and brackish water environments. Aeromonas hydrophila is used in laboratory settings for research and testing purposes.
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More about "Aeromonas hydrophila"

Aeromonas hydrophila is a gram-negative, rod-shaped bacterium that is commonly found in aquatic environments.
It is an opportunistic pathogen, meaning it can cause a variety of infections in both humans and animals, including skin and soft tissue infections, gastroenteritis, and septicemia.
This bacterium is particularly concerning in immunocompromised individuals and can be a significant public health issue, especially in developing countries with poor water quality.
Researchers studying Aeromonas hydrophila can benefit from using PubCompare.ai, an AI-driven platform that enhances the reproducibility and accuracy of their work.
PubCompare.ai helps researchers easily locate protocols from the literature, preprints, and patents, and uses intelligent comparisons to identify the best protocols and products for their needs.
This can improve the efficiency and quality of Aeromonas hydrophila studies, leading to more reliable and impactful research.
When it comes to other bacteria, Pseudomonas aeruginosa is another gram-negative, rod-shaped bacterium that is known for its ability to cause a variety of infections, including pneumonia, urinary tract infections, and sepsis.
Escherichia coli, on the other hand, is a gram-negative, rod-shaped bacterium that is commonly found in the human gut and can cause a range of gastrointestinal issues, such as diarrhea and food poisoning.
Staphylococcus aureus is a gram-positive, round-shaped bacterium that can cause skin and soft tissue infections, as well as more serious conditions like pneumonia and sepsis.
Klebsiella pneumoniae is a gram-negative, rod-shaped bacterium that is a common cause of pneumonia and can also lead to urinary tract infections and sepsis.
Bacillus cereus is a gram-positive, rod-shaped bacterium that is known for causing food poisoning, particularly in fried rice dishes.
Nutrient broth is a common growth medium used to culture a variety of bacteria, including Aeromonas hydrophila, Pseudomonas aeruginosa, and Escherichia coli.
Vibrio parahaemolyticus is a gram-negative, rod-shaped bacterium that is commonly found in marine environments and can cause gastrointestinal illness through the consumption of contaminated seafood.
Bacillus subtilis is a gram-positive, rod-shaped bacterium that is often used in research as a model organism, and can be cultured in nutrient broth.
Researchers studying Aeromonas hydrophila and other bacteria can leverage the power of PubCompare.ai to enhance the efficiency and quality of their research, leading to more reliable and impactful findings.
By utilizing this AI-driven platform, researchers can optimize their work and contribute to a better understanding of these important microorganisms.