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Seyed Ali Johari

Seyed Ali Johari

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35092663900
Faculty: Faculty of Natural Resources
Address: Fisheries Department, Faculty of Natural Resources, University of Kurdistan, ZIP Code: 66177-15175, P.O. Box 416, Sanandaj, Kurdistan, Iran.
Phone: 08733627721-5 (int. 4303)

Research

Title
Deciphering the dysbiosis caused in the fish microbiota by emerging contaminants and its mitigation strategies-A review
Type
JournalPaper
Keywords
Fish, Emerging contaminates, Dysbiosis, Restoration, Probiotics, Biofloc
Year
2023
Journal Environmental Research
DOI
Researchers Mian Adnan Kakakhel ، Nishita Narwal ، Navish Kataria ، Seyed Ali Johari ، Syed Zaheer Ud Din ، Zewen Jiang ، Kuan Shiong Khoo ، Shi Xiaotao

Abstract

The primary barrier to nutrient absorption in fish is the intestinal epithelium, followed by a community of microorganisms known as the gut microbiota, which can be thought of as a hidden organ. The gastrointestinal microbiota of fish plays a key role in the upholding of overall health by maintaining the homeostasis and disease resistance of the host. However, emerging contaminants as the result of anthropogenic activities have significantly led to disruptions and intestinal dysbiosis in fish. Which probably results in fish mortalities and disrupts the balance of an ecosystem. Therefore, we comprehensively seek to compile the effects and consequences of emerging contaminations on fish intestinal microbiota. Additionally, the mitigation strategies including prebiotics, probiotics, plant-based diet, and Biofloc technology are being outlined. Biofloc technology (BFT) can treat toxic materials, i.e., nitrogen components, and convert them into a useful product such as proteins and demonstrated promising elevating technique for the fish intestinal bacterial composition. However, it remains unclear whether the bacterial isolate is primarily responsible for the BFT's removal of nitrate and ammonia and the corresponding removal mechanism. To answer this, real time polymerase chain reaction (RT-PCR) with metagenomics, transcriptomics, and proteomics techniques probably provides a possible solution.