Incidence of multiple bacterial infections in Pacific whiteleg shrimp,
            <i>Litopenaeus vannamei</i>

Dewangan, Naresh Kumar; Gopalakrishnan, Ayyaru; Shankar, Archana; Ramakrishna, Rajkumar Singh

doi:10.1111/are.15893

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…Both IMNV and WSSV don’t have the same tropism and they are highly virulent. Dewangan et al (2022) reported multiple bacterial infections to be highly pathogenic in L. vannamei grow-out ponds in India. On the other hand, Flegel et al (2004) showed that grossly normal shrimp were concurrent hosts to several viruses, and that some had significant negative correlations with shrimp size.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Passive surveillance for shrimp pathogens inPenaeus vannameisubmitted from 3 Regions of Latin America

Intriago,

Medina,

Cercado

et al. 2023

Preprint

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Multiple PCR analyzes were performed using 19 different primer sets to open and broaden the search spectrum for shrimp pathogens. In addition, multiple primer pairs for 10 pathogens were compared to see if there were differences in selectivity or sensitivity among them. Some pathogens that did not present histological lesions were detected. The most important outcome was that selection of appropriate primers was the most critical factor in obtaining reliable results. We found high variability in results among primers and we learned it was prudent to seasonally assess among them for the best set selection. It is important to understand that a PCR positive test result alone does not confirm the presence of a viable pathogen or a disease state. Nor, as might be expected, does it mean that the positive PCR test results will be necessarily accompanied by histological lesions characteristic of the targeted pathogen. However, the use of appropriately selected primers sets can reveal whether there is an evolution in the result spectrum over time and if some pathogens disappear or reappear or new ones emerge. In general, most shrimp presented coinfections that consisted of the presence of WzSV8, DHPV, chronic midgut inflammation and tubule distension/epithelial atrophy consistent with Pir A/B toxicity. Also included were RLB/NHPB, microsporidia, striated muscle necrosis, gregarines in the hindgut caecum (gametocyte stage, and not associated with tegumental glands but glands that line the mouth and anus) and encysted, presumed nematode larvae. WzSV8 was newly discovered in gonads. Histological changes and the presence of spheroids in the lymphoid organ were considered as healthy host responses of often unidentified cause.

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Section: Discussionmentioning

confidence: 99%

“…reported the presence of IMNV and WSSV in Brazil. Both IMNV and WSSV don't have the same tropism and they are highly virulent Dewangan et al (2022). reported multiple bacterial infections to be highly pathogenic in L. vannamei grow-out ponds in India.…”

mentioning

confidence: 99%

Passive surveillance for shrimp pathogens inPenaeus vannameisubmitted from 3 Regions of Latin America

Intriago,

Medina,

Cercado

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Escherichia coli [30] and Aeromonas hydrophila are among the causes of bacterial shrimp enteritis, which can lead to slow growth, significant body weight loss, and even death in severe cases. Aeromonas veronii has also been identified as a pathogen that is commonly isolated from infected and dead shrimp [31].…”

Section: Acquisition Of Raman Spectrum Datamentioning

confidence: 99%

A Distributed Deep Learning Network Based on Data Enhancement for Few-Shot Raman Spectral Classification of Litopenaeus vannamei Pathogens

Chen,

Li,

Chen

2024

Applied Sciences

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Litopenaeus vannamei is a common species in aquaculture and has a high economic value. However, Litopenaeus vannamei are often invaded by pathogenic bacteria and die during the breeding process, so it is of great significance to study the identification of shrimp pathogenic bacteria. The wide application of Raman spectroscopy in identifying directions of inquiry provides a new means for this. However, the traditional Raman spectroscopy classification task requires a large amount of data to ensure the accuracy of its classification. Therefore, the question of how to obtain higher classification accuracy through the means of a small amount of Raman spectrum data is a difficult point in the research. This paper proposes a distributed deep learning network based on data enhancement for few-shot Raman spectral classification of Litopenaeus vannamei pathogens. The network consists of RSEM, RSDM, and DLCM modules. The RSEM module uses an improved generative adversarial network combined with transfer learning to generate a large amount of spectral data. The RSDM module uses improved U-NET to denoise the generated data. In addition, we designed a distributed learning classification model (DLCM) which significantly speeds up model training, improves the efficiency of the algorithm, and solves the network degradation problem that often occurs during deep learning model training. The average classification accuracy of our proposed network on four shrimp pathogenic bacteria reaches 98.9%, which is higher than several models commonly used in Raman spectroscopy classification tasks. The method proposed in this article only needs the Raman spectra of a small number of microorganisms to complete the efficient and rapid identification of shrimp pathogenic bacteria, and this method certainly has the potential to solve the problem of the spectral classification of other microorganisms.

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“…reported the presence of IMNV and WSSV in Brazil. Both IMNV and WSSV do not have the same tropism, and they are highly virulent Dewangan et al (2022). reported multiple bacterial infections to be highly pathogenic in L. vannamei grow-out ponds in India.…”

mentioning

confidence: 99%

Passive surveillance for shrimp pathogens in Penaeus vannamei submitted from 3 Regions of Latin America

Intriago,

Medina,

Cercado

et al. 2023

Preprint

View full text Add to dashboard Cite

Multiple PCR analyzes were performed using 19 different primer sets to open and broaden the search spectrum for shrimp pathogens. In addition, multiple primer pairs for 10 pathogens were compared to see if there were differences in selectivity or sensitivity among them. Some pathogens that did not present histological lesions were detected. The most important outcome was thatthe selection of appropriate primers was the most critical factor in obtaining reliable results. We found high variability in results among primers, and we learned it was prudent to seasonally assess them for the best set selection. It is important to understand that a PCR positive test result alone does not confirm the presence of a viable pathogen or a disease state. Nor, as might be expected, does it mean that the positive PCR test results will be necessarily accompanied by histological lesions characteristic of the targeted pathogen. However, the use of appropriately selected primer sets can reveal whether there is an evolution in the result spectrum over time and if some pathogens disappear or reappear or new ones emerge. In general, most shrimp presented coinfections that consisted of the presence of WzSV8, DHPV, chronic midgut inflammation and tubule distension/epithelial atrophy consistent with Pir A/B toxicity. Also included were RLB/NHPB, microsporidia, striated muscle necrosis, gregarines in the hindgut caecum (gametocyte stage, and not associated with tegumental glands but glands that line the mouth and anus) and encysted, presumed nematode larvae. WzSV8 was newly discovered in gonads. Histological changes and the presence of spheroids in the lymphoid organ were considered healthy host responses of often unidentified cause.

show abstract

Incidence of multiple bacterial infections in Pacific whiteleg shrimp, Litopenaeus vannamei

Cited by 7 publications

References 28 publications

Passive surveillance for shrimp pathogens inPenaeus vannameisubmitted from 3 Regions of Latin America

Passive surveillance for shrimp pathogens inPenaeus vannameisubmitted from 3 Regions of Latin America

A Distributed Deep Learning Network Based on Data Enhancement for Few-Shot Raman Spectral Classification of Litopenaeus vannamei Pathogens

Passive surveillance for shrimp pathogens in Penaeus vannamei submitted from 3 Regions of Latin America

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