Multi-Omics Technologies Applied to Improve Tick Research
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 bi...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Microorganisms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2607/13/4/795 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849715039800393728 |
|---|---|
| author | Arlex Rodríguez-Durán Vinícius Andrade-Silva Muhammad Numan Jéssica Waldman Abid Ali Carlos Logullo Itabajara da Silva Vaz Junior Luís Fernando Parizi |
| author_facet | Arlex Rodríguez-Durán Vinícius Andrade-Silva Muhammad Numan Jéssica Waldman Abid Ali Carlos Logullo Itabajara da Silva Vaz Junior Luís Fernando Parizi |
| author_sort | Arlex Rodríguez-Durán |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-024fbca7d3be4b9a858dc7d9142c391b |
| institution | DOAJ |
| issn | 2076-2607 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj-art-024fbca7d3be4b9a858dc7d9142c391b2025-08-20T03:13:32ZengMDPI AGMicroorganisms2076-26072025-03-0113479510.3390/microorganisms13040795Multi-Omics Technologies Applied to Improve Tick ResearchArlex Rodríguez-Durán0Vinícius Andrade-Silva1Muhammad Numan2Jéssica Waldman3Abid Ali4Carlos Logullo5Itabajara da Silva Vaz Junior6Luís Fernando Parizi7Programa de Pós-Graduação em Ciências Veterinária, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9090, Porto Alegre 91540-000, RS, BrazilCentro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9500, Porto Alegre 91501-970, RS, BrazilPrograma de Pós-Graduação em Ciências Veterinária, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9090, Porto Alegre 91540-000, RS, BrazilCentro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9500, Porto Alegre 91501-970, RS, BrazilDepartment of Zoology, Abdul Wali Khan University Mardan, Mardan 23200, Khyber Pakhtunkhwa, PakistanInstituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, BrazilCentro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9500, Porto Alegre 91501-970, RS, BrazilCentro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9500, Porto Alegre 91501-970, RS, BrazilThe 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.https://www.mdpi.com/2076-2607/13/4/795ArgasidaebiologycontrolIxodidaemicrobiotaphysiology |
| spellingShingle | Arlex Rodríguez-Durán Vinícius Andrade-Silva Muhammad Numan Jéssica Waldman Abid Ali Carlos Logullo Itabajara da Silva Vaz Junior Luís Fernando Parizi Multi-Omics Technologies Applied to Improve Tick Research Microorganisms Argasidae biology control Ixodidae microbiota physiology |
| title | Multi-Omics Technologies Applied to Improve Tick Research |
| title_full | Multi-Omics Technologies Applied to Improve Tick Research |
| title_fullStr | Multi-Omics Technologies Applied to Improve Tick Research |
| title_full_unstemmed | Multi-Omics Technologies Applied to Improve Tick Research |
| title_short | Multi-Omics Technologies Applied to Improve Tick Research |
| title_sort | multi omics technologies applied to improve tick research |
| topic | Argasidae biology control Ixodidae microbiota physiology |
| url | https://www.mdpi.com/2076-2607/13/4/795 |
| work_keys_str_mv | AT arlexrodriguezduran multiomicstechnologiesappliedtoimprovetickresearch AT viniciusandradesilva multiomicstechnologiesappliedtoimprovetickresearch AT muhammadnuman multiomicstechnologiesappliedtoimprovetickresearch AT jessicawaldman multiomicstechnologiesappliedtoimprovetickresearch AT abidali multiomicstechnologiesappliedtoimprovetickresearch AT carloslogullo multiomicstechnologiesappliedtoimprovetickresearch AT itabajaradasilvavazjunior multiomicstechnologiesappliedtoimprovetickresearch AT luisfernandoparizi multiomicstechnologiesappliedtoimprovetickresearch |