Semantic Scholar Open Access 2022 16 sitasi

An insight into the interaction between Argulus siamensis and Labeo rohita offers future therapeutic strategy to combat argulosis

Kushal Thakur Ankita Sharma D. Sharma Bhavna Brar K. Choudhary +5 lainnya

Abstrak

Aquaculture and fisheries are salient flourishing sectors in the world but their sustainability is often afflicted by several pathogenic diseases. Among all the pathogenic diseases of fish, parasitic diseases are found to be a major cause of concern. Argulosis is one of the dominant parasitic problems encountered in Indian aquaculture practices. Argulus siamensis is the most prevalent argulid species harming the Indian major carp species including Labeo rohita. The major carps respond to parasitic infestation by elevating various immune relevant genes. The therapeutic chemicals, synthetic drugs and other plant extracts have made a progress in the fight against argulosis. However, there is no effective vaccine and drugs are available for this disease. Thus, designing efficient, cost-effective and eco-friendly control and treatment strategies for argulosis is presently needed. Keeping the aforementioned facts in mind, the current review elaborated the immunological interaction between A. siamensis and L. rohita, available combat tactics, highlighted the already identified vaccine candidates to design effective control measures and illustrated the use of omics technology in future to combat argulosis.

Topik & Kata Kunci

Penulis (10)

K

Kushal Thakur

A

Ankita Sharma

D

D. Sharma

B

Bhavna Brar

K

K. Choudhary

A

Ajay Sharma

D

Danish Mahajan

R

R. Ranjith Kumar

S

Sunil Kumar

R

Rakesh Kumar

Format Sitasi

Thakur, K., Sharma, A., Sharma, D., Brar, B., Choudhary, K., Sharma, A. et al. (2022). An insight into the interaction between Argulus siamensis and Labeo rohita offers future therapeutic strategy to combat argulosis. https://doi.org/10.1007/s10499-022-01043-x

Akses Cepat

Lihat di Sumber doi.org/10.1007/s10499-022-01043-x
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
16×
Sumber Database
Semantic Scholar
DOI
10.1007/s10499-022-01043-x
Akses
Open Access ✓