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Xu X, Xu J, Qiu M, Yu Y, Gou M, Pang Y, Li Q, Su P. A Comparative Transcriptomic Study and Key Gene Targeting of Lamprey Gonadal Immune Response. Immunol Invest 2024; 53:241-260. [PMID: 38078455 DOI: 10.1080/08820139.2023.2289070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
The mammalian testis and ovary possess special immunocompetence, which is central to provide protection against pathogens. However, the innate immune responses to immune challenges in lamprey gonads are poorly understood. In this study, we extracted RNA from testis and ovary tissues of lampreys at 0 hour, 8 hours and 17 days after lipopolysaccharides (LPS) stimulation and performed transcriptome sequencing. While the transcriptome profiles of the two tissues were different for the most part, genes LIP, LECT2, LAL2, GRN, ITLN, and C1q were found to be the most significantly up-regulated genes in both. Quantitative Real-time PCR (qRT-PCR) analysis confirmed that these genes were upregulated after stimulation. Furthermore, immunohistochemical staining showed that these genes in lamprey gonads are expressed in high quantities and have a specific distribution. Taken together, our results suggest that these genes could play an essential role in response of the gonads to LPS induction. This research establishes a basis for investigating the immune mechanism of vertebrate gonads and presents a fresh concept for gaining insight into the evolutionary development of jawless vertebrates.
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Affiliation(s)
- Xiangting Xu
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
| | - Jing Xu
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
- Functional laboratory, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Mingyue Qiu
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
| | - Yang Yu
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
- Department of Urology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Meng Gou
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
| | - Yue Pang
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
| | - Qingwei Li
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
| | - Peng Su
- College of Life Science, Liaoning Normal University, Dalian, China
- Lamprey Research Center, Liaoning Normal University, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian, China
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Razali SA, Shamsir MS, Ishak NF, Low CF, Azemin WA. Riding the wave of innovation: immunoinformatics in fish disease control. PeerJ 2023; 11:e16419. [PMID: 38089909 PMCID: PMC10712311 DOI: 10.7717/peerj.16419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/17/2023] [Indexed: 12/18/2023] Open
Abstract
The spread of infectious illnesses has been a significant factor restricting aquaculture production. To maximise aquatic animal health, vaccination tactics are very successful and cost-efficient for protecting fish and aquaculture animals against many disease pathogens. However, due to the increasing number of immunological cases and their complexity, it is impossible to manage, analyse, visualise, and interpret such data without the assistance of advanced computational techniques. Hence, the use of immunoinformatics tools is crucial, as they not only facilitate the management of massive amounts of data but also greatly contribute to the creation of fresh hypotheses regarding immune responses. In recent years, advances in biotechnology and immunoinformatics have opened up new research avenues for generating novel vaccines and enhancing existing vaccinations against outbreaks of infectious illnesses, thereby reducing aquaculture losses. This review focuses on understanding in silico epitope-based vaccine design, the creation of multi-epitope vaccines, the molecular interaction of immunogenic vaccines, and the application of immunoinformatics in fish disease based on the frequency of their application and reliable results. It is believed that it can bridge the gap between experimental and computational approaches and reduce the need for experimental research, so that only wet laboratory testing integrated with in silico techniques may yield highly promising results and be useful for the development of vaccines for fish.
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Affiliation(s)
- Siti Aisyah Razali
- Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
- Biological Security and Sustainability Research Interest Group (BIOSES), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Mohd Shahir Shamsir
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Nur Farahin Ishak
- Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Chen-Fei Low
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Wan-Atirah Azemin
- School of Biological Sciences, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia
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Hui F, Guo S, Liu J, Li M, Geng M, Xia Y, Liu X, Li Q, Li J, Zhu T. Genome-wide identification and characterization of NLR genes in lamprey (Lethenteron reissneri) and their responses to lipopolysaccharide/poly(I:C) challenge. Mol Immunol 2022; 143:122-134. [DOI: 10.1016/j.molimm.2022.01.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 12/18/2022]
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