Effects of a novel marine probiotic, <i>Lactobacillus plantarum</i>
 AH 78, on growth performance and immune response of Nile tilapia (<i>Oreochromis niloticus</i>
)

Hamdan, Amira M.; El‐Sayed, Abdel‐Fattah M.; Mahmoud, Mohamed

doi:10.1111/jam.13081

Cited by 109 publications

(51 citation statements)

References 50 publications

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“…The expression of these genes was significantly up‐regulated in the liver of Nile tilapia fed SO‐1 diets compared to the control group ( p < 0.05). These findings are in agreement with the results of Liu et al (), Makled et al (), Hamdan et al (), who found that supplemental probiotic bacteria improved the abundance of pro‐inflammatory cytokines in tilapia. Similarly, probiotics up‐regulated pro‐inflammatory cytokine expression in rainbow trout (Peddie et al, ), zebrafish (Hsieh, Pan, & Chen, ) and koi carp (He et al, ).…”

Section: Discussionsupporting

confidence: 93%

“…At the end of the 50‐day probiotic feeding trial, fish were dissected under aseptic conditions. Liver tissue showed the most severe morphological changes and was selected for cytokine expression analyses as reported by Hamdan et al () and Zheng et al (). Subsequently, liver samples were aseptically removed from two fish collected randomly from each aquarium and stored at −80°C (Perez‐Sanchez et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…At the end of the 50-day probiotic feeding trial, fish were dissected under aseptic conditions. Liver tissue showed the most severe morphological changes and was selected for cytokine expression analyses as reported by Hamdan et al (2016) and Zheng et al (2017).…”

Section: Cytokine Expression Analysismentioning

confidence: 99%

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Effects of dietary supplementation of a marine thermotolerant bacterium, Bacillus paralicheniformis SO‐1, on growth performance and immune responses of Nile tilapia, Oreochromis niloticus

2019

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This study was carried out to evaluate the effects of dietary supplementation of thermotolerant bacterium on growth and immune responses of Nile tilapia (Oreochromis niloticus). Bacillus paralicheniformis SO‐1 was isolated from marine environments and incorporated into four isonitrogenous (300g/kg crude protein; cp) and isocaloric (18 MJ/kg) diets at four concentrations: 0, 5, 10 and 20 g/kg diet. Each diet was fed to triplicate groups of Nile tilapia (41.5 ± 0.5 g average weight) at a daily rate of 3% of their biomass, three times a day for 50 days. At the end of the feeding trial, the growth rates, feed utilization efficiency (feed conversion ratio, protein efficiency ratio, protein productive value), digestive enzymes (protease, amylase and lipase) activities, immunological response (serum lysozyme activity, phagocytic activity, respiratory burst and superoxide dismutase activity) and the expression of immune‐related genes [interleukin‐1 (IL‐1), interleukin‐4 (IL‐4) and interleukin‐12 (IL‐12)] were determined. Growth rates, digestive enzymes activities and immunological parameters were significantly improved (p < 0.05) with increasing supplemental SO‐1 up to 10 g/kg. However, further increase in bacterial concentration to 20 g/kg lead to significant decline in fish performance and immune response (p < 0.05). The expression of IL‐1, IL‐4 and IL‐12 genes was significantly up‐regulated (p < 0.05) in the liver of Nile tilapia fed SO‐1‐treated diets. This study clearly demonstrated that B. paralicheniformis SO‐1 could be considered as an efficient growth promoter and immune‐stimulating probiotic for farmed Nile tilapia.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

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Effects of dietary supplementation of a marine thermotolerant bacterium, Bacillus paralicheniformis SO‐1, on growth performance and immune responses of Nile tilapia, Oreochromis niloticus

2019

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“…Different growth parameters as mean weight, % weight gain, % survival, food conversion ratio (FCR) and specific growth rate (SGR) were calculated using the following formulae (Hamdan, El‐Sayed, & Mahmoud, ; Liu et al, ).

Mean weight = \frac{Total weight}{Total number of fishes}

Weight gain (%) = \frac{Final mean weight - Initial mean weight}{Initial mean weight} \times 100 % Survival = \frac{Number of fish survived}{Number of fish stocked} \times 100

Food conversion ratio (FCR) = \frac{Feed given (normalg)}{Weight gain (normalg)}

Specific growth rate (SGR %) = \frac{\ln (W_{f}) - \ln (W_{i})}{No . of days} \times 100

(W_{f}) = Final mean weight, ...

…”

Section: Methodsmentioning

confidence: 99%

Isolation and evaluation of putative probiotic strains from different teleost to prevent Pseudomonas aeruginosa infection in Cyprinus carpio

Chauhan

Singh

2019

Aquac Res

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Probiotics renowned as valuable microbes serve as a potential alternative to control diseases in aquaculture and are considered as an efficient and environment-friendly approach to reduce the use of antibiotics. The present study aims at the isolation of putative probiotic bacteria from the intestinal tract of different fish species from the Doaba region of Punjab, India. In this study, isolated bacterial strains were characterized based on their morphological, biochemical and molecular characterization by 16S rRNA gene sequencing, followed by in vitro evaluation of different selection parameters described in FAO/WHO guidelines. A total of 169 different bacterial strains were isolated from the gastrointestinal tract of 52 different fish species. After in vitro evaluation, out of 169 bacterial strains only five bacteria (S3, S7, BDK2', BDK7 and BDK9) identified as Enterococcus and Bacillus species showed antagonistic activity against the fish pathogen Pseudomonas aeruginosa (MTCC 4 673). These isolates were screened based on their response towards bile tolerance, pH tolerance, adhesion and drug susceptibility to different antibiotic discs. And, the in vivo results indicated improved growth and survival against the infection (P. aeruginosa) after oral administration of the probiotics. The observations of in vitro and in vivo evaluation indicatethat these isolated probiotic strains serve as effective probiotics and can be used as a novel and safe treatment to cure current issues in aquaculture. K E Y W O R D Saquaculture, Cyprinus carpio, Doaba region, Pseudomonas aeruginosa, putative probiotics

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“…β-actin was used as a housekeeping control. The primer sequences for amplification of IL-10 and β-actin were as follows: (F, 5′-ACGACCCTGCTCACGTTATG-3; R, 5′-TCCGGGATGGAGTAAGAGGG-3′) and (F, 5′-GGTCGCCCAAGACATCAG-3; R, 5′-GCATACAGGGACAACACA-3′) (Hamdan et al, 2016), respectively. The relative expression of IL-10 in gut tissue samples was normalized to the expression of β−actin.…”

Section: Methodsmentioning

confidence: 99%

Inferring Microbial Interactions in the Gut of the Hong Kong Whipping Frog (Polypedates megacephalus) and a Validation Using Probiotics

et al. 2017

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The concerted activity of intestinal microbes is crucial to the health and development of their host organisms. Investigation of microbial interactions in the gut should deepen our understanding of how these micro-ecosystems function. Due to advances in Next Generation Sequencing (NGS) technologies, various bioinformatic strategies have been proposed to investigate these microbial interactions. However, due to the complexity of the intestinal microbial community and difficulties in monitoring their interactions, at present there is a gap between the theory and biological application. In order to construct and validate microbial relationships, we first induce a community shift from simple to complex by manipulating artificial hibernation (AH) in the treefrog Polypedates megacephalus. To monitor community growth and microbial interactions, we further performed a time-course screen using a 16S rRNA amplicon approach and a Lotka-Volterra model. Lotka-Volterra models, also known as predator–prey equations, predict the dynamics of microbial communities and how communities are structured and sustained. An interaction network of gut microbiota at the genus level in the treefrog was constructed using Metagenomic Microbial Interaction Simulator (MetaMIS) package. The interaction network obtained had 1,568 commensal, 1,737 amensal, 3,777 mutual, and 3,232 competitive relationships, e.g., Lactococcus garvieae has a commensal relationship with Corynebacterium variabile. To validate the interacting relationships, the gut microbe composition was analyzed after probiotic trials using single strain (L. garvieae, C. variabile, and Bacillus coagulans, respectively) and a combination of L. garvieae, C. variabile, and B. coagulans, because of the cooperative relationship among their respective genera identified in the interaction network. After a 2 week trial, we found via 16S rRNA amplicon analysis that the combination of cooperative microbes yielded significantly higher probiotic concentrations than single strains, and the immune response (interleukin-10 expression) also significantly changed in a manner consistent with improved probiotic effects. By taking advantage of microbial community shift from simple to complex, we thus constructed a reliable microbial interaction network, and validated it using probiotic strains as a test system.

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Effects of a novel marine probiotic, Lactobacillus plantarum AH 78, on growth performance and immune response of Nile tilapia (Oreochromis niloticus )

Abstract: Marine Lact. plantarum AH 78 could be considered as a potential probiotic to control disease outbreaks in farmed Nile tilapia.

Cited by 109 publications

References 50 publications

Effects of dietary supplementation of a marine thermotolerant bacterium, Bacillus paralicheniformis SO‐1, on growth performance and immune responses of Nile tilapia, Oreochromis niloticus

Effects of dietary supplementation of a marine thermotolerant bacterium, Bacillus paralicheniformis SO‐1, on growth performance and immune responses of Nile tilapia, Oreochromis niloticus

Isolation and evaluation of putative probiotic strains from different teleost to prevent Pseudomonas aeruginosa infection in Cyprinus carpio

Inferring Microbial Interactions in the Gut of the Hong Kong Whipping Frog (Polypedates megacephalus) and a Validation Using Probiotics

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