Newly Emerging MDR B. cereus in Mugil seheli as the First Report Commonly Harbor nhe, hbl, cytK, and pc-plc Virulence Genes and bla1, bla2, tetA, and ermA Resistance Genes

Algammal, Abdelazeem M.; Alfifi, Khyreyah J; Mabrok, Mahmoud; Alatawy, Marfat; Abdel-Moneam, Dalia A.; Alghamdi, Saad; Azab, Marwa; Ibrahim, Reham A.; Hetta, Helal F; ELTarabili, Reham

doi:10.2147/idr.s365254

Cited by 37 publications

(10 citation statements)

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“…2020; Algammal et al. 2022a, 2022b). Therefore, there is growing interest in preventing fish diseases by using live bacteria that can counteract pathogens (Havenaar and Huis In't Veld 1992; Lieke et al.…”

Section: Discussionmentioning

confidence: 99%

“…Bacterial diseases are responsible for significant mortality in wild and cultured fish. Antibiotics are commonly used to control infections, but their use may lead to the development and spread of antibiotic-resistant bacteria and genes, as well as the occurrence of antibiotic residues in fish tissues (Chen et al 2020;Algammal et al 2022aAlgammal et al , 2022b. Therefore, there is growing interest in preventing fish diseases by using live bacteria that can counteract pathogens (Havenaar and Huis In't Veld 1992;Lieke et al 2020).…”

Section: Discussionmentioning

confidence: 99%

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Potential of Pseudomonas putida probiotic feed mixture for improving growth, immune response, and disease resistance in Nile Tilapia compared to Saccharomyces cerevisiae probiotic

Aly,

ElBanna,

Elatta

et al. 2023

N American J Aquac

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ObjectiveThis study aimed to assess the effects of a potential probiotic feed mixture containing Pseudomonas putida, in comparison to a yeast product (Saccharomyces cerevisiae), on the growth, immune response, and protection against Aeromonas hydrophila infection in Nile Tilapia Oreochromis niloticus.MethodsNile Tilapia were divided into three groups and subjected to a 60‐day feeding regimen: the first group served as a control, receiving a commercial diet; the second group received a basal diet mixed with 1 × 107 CFU/g diet of P. putida; and the third group was fed a basal diet mixed with 1 g/kg diet of dried S. cerevisiae, resulting in a final concentration of 107 CFU/g of feeds. After 2 months of supplementation, various parameters including survival rate, body weight gain, feed conversion rate, specific growth rate, serum lysozyme activity, phagocytic activity, nitroblue tetrazolium activity, and disease resistance against A. hydrophila were evaluated.ResultBoth probiotic‐treated groups exhibited significant improvements compared to the control group. Specifically, enhanced survival rates, body weight gains, feed conversion rates, and specific growth rates were observed in the probiotic‐treated groups. Moreover, these groups demonstrated increased serum lysozyme, phagocytic, and nitroblue tetrazolium activities, indicative of an improved immune response. Notably, the probiotic‐treated groups displayed enhanced resistance against A. hydrophila infection. Histopathological examination revealed that P. putida significantly augmented the nonspecific immune response in Nile Tilapia.ConclusionThis preliminary study underscores the potential benefits of P. putida supplementation in Nile Tilapia diets. The inclusion of P. putida resulted in enhanced growth performance, improved immune status, and effective control of A. hydrophila infection. These findings suggest that P. putida holds promise as a valuable component in feed mixtures for promoting the growth and health of Nile Tilapia.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Potential of Pseudomonas putida probiotic feed mixture for improving growth, immune response, and disease resistance in Nile Tilapia compared to Saccharomyces cerevisiae probiotic

Aly,

ElBanna,

Elatta

et al. 2023

N American J Aquac

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“…B. cereus is a sporogenous, facultative anaerobe, motile, ubiquitous bacterium commonly found in water, soil, plants, and food. It is an important opportunistic foodborne pathogen for public health, and it is initially considered the principal factor in human gastroenteritis and food poisoning (Algammal, Alfifi, et al, 2022). Other dangerous fish pathogens are Edwardsiella tarda , which causes fish gangrene, catfish emphysematous putrefactive illness, and red disease in eels.…”

Section: Introductionmentioning

confidence: 99%

Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges

Islam,

Ahammad,

Mohammed

2024

J World Aquaculture Soc

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Aquaculture is now the main source of seafood in human diets and is one of its fastest‐growing industries worldwide. However, the industry is facing several difficulties, including infectious diseases, the most significant limiting factor for aquaculture expansion. The impact of diseases on aquaculture growth, fecundity, mortality rates, and marketability is profound. Hence, the ability to predict disease outbreaks is crucial to overcoming these challenges. Various infectious agents such as bacteria, viruses, fungi, and parasites can cause significant losses of fish in intensive aquaculture practices. In an aquaculture environment, the high host density coupled with restricted water flow promotes pathogen spread. Early detection of disease is crucial for farmers as mortality rates can reach as high as 100% if left untreated. Therefore, new techniques and technical solutions for disease management in aquaculture are required. In this context, data analytics technologies, such as internet of things (IoT) sensors, artificial intelligence, and machine learning, allow farmers to proactively monitor their farms and detect potential disease outbreaks before they strike. Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. IoT is currently a popular study topic for smarter and sustainable aquaculture, as seen by the growing interest and broad overall assumptions. Therefore, this review aims to provide comprehensive information on the various aspects and challenges associated with modern technologies for controlling pathogenic microorganisms, as well as the potential benefits of using the IoT to improve fish health and welfare in aquaculture.

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“…It is worth noting that as the concentration of antibacterial drugs increases in environments such as in water and in agriculture farms, multi-drug-resistant (MDR: resistant to ≥ one agent in ≥3 antimicrobial classes) genes are emerging in Infrequently Isolated or Fastidious Bacteria ( Zhang et al, 2022 ; Yang and Wu, 2023 ). Many reports have demonstrated that antimicrobial-resistant Infrequently Isolated or Fastidious Bacteria are increasingly occurring in the environment ( Gonzalez-Avila et al, 2021 ; Algammal et al, 2022a ; Wu et al, 2023 ). Therefore, we believe that it is necessary to monitor the resistance levels of Infrequently Isolated or Fastidious Bacteria isolated from clinical patients.…”

Section: Introductionmentioning

confidence: 99%

Practice of standardization of CLSI M45 A3 antimicrobial susceptibility testing of Infrequently Isolated or Fastidious Bacteria strains isolated from blood specimens in Guangdong Province 2017–2021

He,

Yang,

Haque

et al. 2024

Front. Microbiol.

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The concentration of antimicrobial agents in environments like water and food has increased rapidly, which led to a rapid increase in antimicrobial resistance levels in the environment. Monitoring of bacterial resistance levels is considered as a necessary means to control the bacterial resistance. Reference standards are critical for antimicrobial susceptibility testing. CLSI M45 A3 standard defines pathogenic microorganisms that cause infections less frequently than those covered by CLSI M02, M07, and M100 as Infrequently Isolated or Fastidious Bacteria and specifies antimicrobial susceptibility testing methods. Our study investigated the epidemiology and antimicrobial susceptibility testing data of Infrequently Isolated or Fastidious Bacteria strains isolated from blood specimens in 70 hospitals in Guangdong Province between 2017 and 2021. We defined testing methods other than those specified in CLSI M45 A3 as “Non-Standardized.” The proportion of standardized antimicrobial susceptibility testing for penicillin increased significantly (Corynebacterium spp. 17.4% vs. 50.0% p < 0.05; Micrococcus spp. 50.0% vs. 77.8% p < 0.05; Abiotrophia spp. and Granulicatella spp. 21.4% vs. 90.9% p < 0.001), while for cefotaxime (Corynebacterium spp. 0.0% vs. 45.2% p < 0.05; Abiotrophia spp. and Granulicatella spp. 0.0% vs. 14.3% p = 0.515) and vancomycin increased finitely. Non-standardized methods were used for all other antimicrobials. Due to limitations in the economic and medical environment, some clinical laboratories are unable to fully comply with CLSI M45 A3 standard. We recommend that CLSI should add breakpoints for disk diffusion method to improve the standardization of antimicrobial susceptibility testing.

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Newly Emerging MDR B. cereus in Mugil seheli as the First Report Commonly Harbor nhe, hbl, cytK, and pc-plc Virulence Genes and bla1, bla2, tetA, and ermA Resistance Genes

Cited by 37 publications

References 78 publications

Potential of Pseudomonas putida probiotic feed mixture for improving growth, immune response, and disease resistance in Nile Tilapia compared to Saccharomyces cerevisiae probiotic

Potential of Pseudomonas putida probiotic feed mixture for improving growth, immune response, and disease resistance in Nile Tilapia compared to Saccharomyces cerevisiae probiotic

Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges

Practice of standardization of CLSI M45 A3 antimicrobial susceptibility testing of Infrequently Isolated or Fastidious Bacteria strains isolated from blood specimens in Guangdong Province 2017–2021

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