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Omics Strategies in Current Advancements of Infectious Fish Disease Management

SIMPLE SUMMARY: The increasing demand for fish products has caused disease-related problems due to intense fish practices in fish farms. The fish diseases infection caused by bacteria, viruses, and parasites could lead to high fish mortality that affected the aquaculture industry. Recently, a system...

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Autores principales: Natnan, Maya Erna, Mayalvanan, Yosmetha, Jazamuddin, Fahmeeda Mohd, Aizat, Wan Mohd, Low, Chen-Fei, Goh, Hoe-Han, Azizan, Kamalrul Azlan, Bunawan, Hamidun, Baharum, Syarul Nataqain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614662/
https://www.ncbi.nlm.nih.gov/pubmed/34827079
http://dx.doi.org/10.3390/biology10111086
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author Natnan, Maya Erna
Mayalvanan, Yosmetha
Jazamuddin, Fahmeeda Mohd
Aizat, Wan Mohd
Low, Chen-Fei
Goh, Hoe-Han
Azizan, Kamalrul Azlan
Bunawan, Hamidun
Baharum, Syarul Nataqain
author_facet Natnan, Maya Erna
Mayalvanan, Yosmetha
Jazamuddin, Fahmeeda Mohd
Aizat, Wan Mohd
Low, Chen-Fei
Goh, Hoe-Han
Azizan, Kamalrul Azlan
Bunawan, Hamidun
Baharum, Syarul Nataqain
author_sort Natnan, Maya Erna
collection PubMed
description SIMPLE SUMMARY: The increasing demand for fish products has caused disease-related problems due to intense fish practices in fish farms. The fish diseases infection caused by bacteria, viruses, and parasites could lead to high fish mortality that affected the aquaculture industry. Recently, a systematic strategy to overcome fish disease problems using multi-omics platforms has been used to provide a better understanding of how to improve the resistance of fish to pathogen infection. In this review, we highlight the current multi-omics strategies such as transcriptomics, proteomics, and metabolomics to provide information regarding their molecular mechanisms of action, subsequently important in discovering potential biomarkers for various infectious fish diseases in the aquaculture system. ABSTRACT: Aquaculture is an important industry globally as it remains one of the significant alternatives of animal protein source supplies for humankind. Yet, the progression of this industry is being dampened by the increasing rate of fish mortality, mainly the outbreak of infectious diseases. Consequently, the regress in aquaculture ultimately results in the economy of multiple countries being affected due to the decline of product yields and marketability. By 2025, aquaculture is expected to contribute approximately 57% of fish consumption worldwide. Without a strategic approach to curb infectious diseases, the increasing demands of the aquaculture industry may not be sustainable and hence contributing to the over-fishing of wild fish. Recently, a new holistic approach that utilizes multi-omics platforms including transcriptomics, proteomics, and metabolomics is unraveling the intricate molecular mechanisms of host-pathogen interaction. This approach aims to provide a better understanding of how to improve the resistance of host species. However, no comprehensive review has been published on multi-omics strategies in deciphering fish disease etiology and molecular regulation. Most publications have only covered particular omics and no constructive reviews on various omics findings across fish species, particularly on their immune systems, have been described elsewhere. Our previous publication reviewed the integration of omics application for understanding the mechanism of fish immune response due to microbial infection. Hence, this review provides a thorough compilation of current advancements in omics strategies for fish disease management in the aquaculture industry. The discovery of biomarkers in various fish diseases and their potential advancement to complement the recent progress in combatting fish disease is also discussed in this review.
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spelling pubmed-86146622021-11-26 Omics Strategies in Current Advancements of Infectious Fish Disease Management Natnan, Maya Erna Mayalvanan, Yosmetha Jazamuddin, Fahmeeda Mohd Aizat, Wan Mohd Low, Chen-Fei Goh, Hoe-Han Azizan, Kamalrul Azlan Bunawan, Hamidun Baharum, Syarul Nataqain Biology (Basel) Review SIMPLE SUMMARY: The increasing demand for fish products has caused disease-related problems due to intense fish practices in fish farms. The fish diseases infection caused by bacteria, viruses, and parasites could lead to high fish mortality that affected the aquaculture industry. Recently, a systematic strategy to overcome fish disease problems using multi-omics platforms has been used to provide a better understanding of how to improve the resistance of fish to pathogen infection. In this review, we highlight the current multi-omics strategies such as transcriptomics, proteomics, and metabolomics to provide information regarding their molecular mechanisms of action, subsequently important in discovering potential biomarkers for various infectious fish diseases in the aquaculture system. ABSTRACT: Aquaculture is an important industry globally as it remains one of the significant alternatives of animal protein source supplies for humankind. Yet, the progression of this industry is being dampened by the increasing rate of fish mortality, mainly the outbreak of infectious diseases. Consequently, the regress in aquaculture ultimately results in the economy of multiple countries being affected due to the decline of product yields and marketability. By 2025, aquaculture is expected to contribute approximately 57% of fish consumption worldwide. Without a strategic approach to curb infectious diseases, the increasing demands of the aquaculture industry may not be sustainable and hence contributing to the over-fishing of wild fish. Recently, a new holistic approach that utilizes multi-omics platforms including transcriptomics, proteomics, and metabolomics is unraveling the intricate molecular mechanisms of host-pathogen interaction. This approach aims to provide a better understanding of how to improve the resistance of host species. However, no comprehensive review has been published on multi-omics strategies in deciphering fish disease etiology and molecular regulation. Most publications have only covered particular omics and no constructive reviews on various omics findings across fish species, particularly on their immune systems, have been described elsewhere. Our previous publication reviewed the integration of omics application for understanding the mechanism of fish immune response due to microbial infection. Hence, this review provides a thorough compilation of current advancements in omics strategies for fish disease management in the aquaculture industry. The discovery of biomarkers in various fish diseases and their potential advancement to complement the recent progress in combatting fish disease is also discussed in this review. MDPI 2021-10-22 /pmc/articles/PMC8614662/ /pubmed/34827079 http://dx.doi.org/10.3390/biology10111086 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Natnan, Maya Erna
Mayalvanan, Yosmetha
Jazamuddin, Fahmeeda Mohd
Aizat, Wan Mohd
Low, Chen-Fei
Goh, Hoe-Han
Azizan, Kamalrul Azlan
Bunawan, Hamidun
Baharum, Syarul Nataqain
Omics Strategies in Current Advancements of Infectious Fish Disease Management
title Omics Strategies in Current Advancements of Infectious Fish Disease Management
title_full Omics Strategies in Current Advancements of Infectious Fish Disease Management
title_fullStr Omics Strategies in Current Advancements of Infectious Fish Disease Management
title_full_unstemmed Omics Strategies in Current Advancements of Infectious Fish Disease Management
title_short Omics Strategies in Current Advancements of Infectious Fish Disease Management
title_sort omics strategies in current advancements of infectious fish disease management
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614662/
https://www.ncbi.nlm.nih.gov/pubmed/34827079
http://dx.doi.org/10.3390/biology10111086
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