Transcriptome Analysis Provides New Insights into Host Response to Hepatopancreatic Necrosis Disease in the Black Tiger Shrimp Penaeus monodon

Zhao, Jichen; Chen, Xieyan; He, Zihao; Chen, Guoliang; Lin, Zhaojian; Liu, Yongkui; Sun, Chengbo; Wang, Wei

doi:10.1007/s11802-021-4744-x

Cited by 5 publications

(2 citation statements)

References 65 publications

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“…5f). Similarly, it has been reported that ECM-receptor interaction is significantly up-regulated in shrimp suffering from hepatopancreatic necrosis disease 41 . In addition, several key metabolism pathways were inhibited in infected shrimp (Fig.…”

Section: Discussionmentioning

confidence: 78%

Rationally designed probiotics prevent shrimp white feces syndrome via the probiotics–gut microbiome–immunity axis

Sha,

Lu,

Chen

et al. 2024

npj Biofilms Microbiomes

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Increasing evidence infers that some complex diseases are attributed to co-infection with multiple pathogens, such as shrimp white feces syndrome (WFS); however, there is a lack of experimental evidence to validate such causal link. This deficiency further impedes rational design of probiotics to elicit desired benefits to shrimp WFS resistance. Herein, we validated the causal roles of Vibrio fluvialis, V. coralliilyticus and V. tubiashii (in a ratio of 7:2:1) in shrimp WFS etiology, which fully satisfied Koch’s postulates. Correspondingly, we precisely designed four antagonistic strains: Ruegeria lacuscaerulensis, Nioella nitratireducens, Bacillus subtilis and Streptomyces euryhalinus in a ratio of 4:3:2:1, which efficiently guarded against WFS. Dietary supplementation of the probiotics stimulated beneficial gut populations, streptomycin, short chain fatty acids, taurine metabolism potentials, network stability, tight junction, and host selection, while reducing turnover rate and average variation degree of gut microbiota, thereby facilitating ecological and mechanical barriers against pathogens. Additionally, shrimp immune pathways, such as Fcγ R-mediated phagocytosis, Toll-like receptor and RIG-I-like receptor signaling pathways conferring immune barrier, were activated by probiotics supplementation. Collectively, we establish an updated framework for precisely validating co-infection with multiple pathogens and rationally designing antagonistic probiotics. Furthermore, our findings uncover the underlying beneficial mechanisms of designed probiotics from the probiotics–gut microbiome–host immunity axis.

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Section: Discussionmentioning

confidence: 78%

Rationally designed probiotics prevent shrimp white feces syndrome via the probiotics–gut microbiome–immunity axis

Sha,

Lu,

Chen

et al. 2024

npj Biofilms Microbiomes

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show abstract

“…Repeat) [19], [20] are examples of specific approaches. The benefits of this procedure are the same as those of test kits and conventional methods.…”

Section: A Traditional Methodsmentioning

confidence: 99%

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Quach¹,

Quynh²,

Quoc³

et al. 2023

IJACSA

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With the increasing demand for research on shrimp disease recognition to assist far-off farmers who need the proper assistance for their shrimp farming, shrimp disease prediction research is still in the initial stage. Most current methods utilize vision-based models, which mainly face challenges: symptom detection and image quality. Meanwhile, there are few researches which are language-based to get over the issues. In this study, we will experiment with natural language processing based on recognizing shrimp diseases; based on descriptions of shrimp status. This study provides an efficient solution for classifying multiple diseases in shrimp. We will compare different machine learning models and deep learning models (SVM, Logistic Regression, Multinomial Naive Bayes, (a4) Bernoulli Naive Bayes, Random forest, DNN, LSTM, GRU, BRNN, RCNN) in terms of accuracy and performance. The study also evaluates the TF-IDF technique in feature extraction. Data were collected for 12 types of shrimp diseases with 1,037 descriptions. Firstly, the data is preprocessed with standardised Vietnamese accent typing, tokenized words, converted to lowercase, removed unnecessary characters and stopwords. Then, TF-IDF is utilized to express the text feature weight. Machine learning-based and deep learning-based models are trained. The experimental results show that Random forest (F1-Score micro: 98%) and DNN (Validation accuracy: 84%) are the most efficient models.

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Insights into molecular aspects of pathogenesis and disease management in acute hepatopancreatic necrosis disease (AHPND): An updated review

Chandran,

Priya,

Meenatchi

et al. 2023

Fish & Shellfish Immunology

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Transcriptome Analysis Provides New Insights into Host Response to Hepatopancreatic Necrosis Disease in the Black Tiger Shrimp Penaeus monodon

Cited by 5 publications

References 65 publications

Rationally designed probiotics prevent shrimp white feces syndrome via the probiotics–gut microbiome–immunity axis

Rationally designed probiotics prevent shrimp white feces syndrome via the probiotics–gut microbiome–immunity axis

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Insights into molecular aspects of pathogenesis and disease management in acute hepatopancreatic necrosis disease (AHPND): An updated review

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