Multi-Omics Technologies Applied to Improve Tick Research

被引:0
作者
Rodriguez-Duran, Arlex [1 ,2 ,3 ]
Andrade-Silva, Vinicius [2 ]
Numan, Muhammad [1 ,2 ]
Waldman, Jessica [2 ]
Ali, Abid [4 ]
Logullo, Carlos [5 ,6 ]
da Silva Vaz, Itabajara [2 ,6 ,7 ]
Parizi, Luis Fernando [2 ,7 ]
机构
[1] Univ Fed Rio Grande do Sul, Programa Posgrad Ciencias Vet, Ave Bento Goncalves 9090, BR-91540000 Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande do Sul, Ctr Biotecnol, Ave Bento Goncalves 9500, BR-91501970 Porto Alegre, RS, Brazil
[3] Univ Nacl Colombia UNAL, Lab Parasitol Vet, Grp Invest Parasitol Vet, Carrera 30 45-03, Bogota 110111, Colombia
[4] Abdul Wali Khan Univ Mardan, Dept Zool, Khyber Pakhtunkhwa 23200, Pakistan
[5] Univ Fed Rio de Janeiro, Inst Bioquim Med Leopoldo Meis, BR-21941902 Rio de Janeiro, RJ, Brazil
[6] Inst Nacl Ciencia & Tecnol Entomol Mol INCT EM, BR-21941853 Rio De Janeiro, RJ, Brazil
[7] Univ Fed Rio Grande do Sul, Fac Vet, Ave Bento Goncalves 9090, BR-91540000 Porto Alegre, RS, Brazil
关键词
Argasidae; biology; control; Ixodidae; microbiota; physiology; vaccine; PROTEIN-COUPLED RECEPTORS; RHIPICEPHALUS BOOPHILUS MICROPLUS; DIFFERENT DEVELOPMENTAL-STAGES; IXODES-SCAPULARIS; CATTLE TICK; FUNCTIONAL-CHARACTERIZATION; MICROBIAL COMMUNITIES; BORRELIA-BURGDORFERI; GENETIC DIVERSITY; SALIVARY-GLANDS;
D O I
10.3390/microorganisms13040795
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The advancement of multi-omics technologies is crucial to deepen knowledge on tick biology. These approaches, used to study diverse phenomena, are applied to experiments that aim to understand changes in gene transcription, protein function, cellular processes, and prediction of systems at global biological levels. This review addressed the application of omics data to investigate and elucidate tick physiological processes, such as feeding, digestion, reproduction, neuronal, endocrine systems, understanding population dynamics, transmitted pathogens, control, and identifying new vaccine targets. Furthermore, new therapeutic perspectives using tick bioactive molecules, such as anti-inflammatory, analgesic, and antitumor, were summarized. Taken together, the application of omics technologies can help to understand the protein functions and biological behavior of ticks, as well as the identification of potential new antigens influencing the development of alternative control strategies and, consequently, the tick-borne disease prevention in veterinary and public health contexts. Finally, tick population dynamics have been determined through a combination of environmental factors, host availability, and genetic adaptations, and recent advances in omics technologies have improved our understanding of their ecological resilience and resistance mechanisms. Future directions point to the integration of spatial omics and artificial intelligence to further unravel tick biology and improve control strategies.
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页数:19
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