‘Omics’ technologies have facilitated the identification of hundreds to thousands of tick molecules that mediate tick feeding and play a role in the transmission of tick‐borne diseases. Deep sequencing methodologies have played a key role in this knowledge accumulation, profoundly facilitating the study of the biology of disease vectors lacking reference genomes. For example, the nucleotide sequences of the entire set of tick salivary effectors, the so‐called tick ‘sialome’, now contain at least one order of magnitude more transcript sequences compared to similar projects based on Sanger sequencing. Tick feeding is a complex and dynamic process, and while the dynamic ‘sialome’ is thought to mediate tick feeding success, exactly how transcriptome dynamics relate to tick‐host‐pathogen interactions is still largely unknown. The identification and, importantly, the functional analysis of the tick ‘sialome’ is expected to shed light on this ‘black box’. This information will be crucial for developing strategies to block pathogen transmission, not only for anti‐tick vaccine development but also the discovery and development of new, pharmacologically active compounds for human diseases.

中文翻译：

---

蜱唾液腺转录组学和蛋白质组学

“组学”技术促进了数百到数千个蜱分子的鉴定，这些分子介导蜱进食并在蜱传疾病的传播中发挥作用。深度测序方法在这种知识积累中发挥了关键作用，极大地促进了缺乏参考基因组的疾病载体的生物学研究。例如，与基于 Sanger 测序的类似项目相比，整组蜱唾液效应物的核苷酸序列，即所谓的蜱“sialome”，现在至少包含一个数量级的转录序列。蜱喂养是一个复杂而动态的过程，虽然动态“唾液腺”被认为是蜱喂养成功的中介，但转录组动力学究竟如何与蜱-宿主-病原体相互作用相关仍然在很大程度上未知。鉴定和，重要的是，蜱“sialome”的功能分析有望阐明这个“黑匣子”。这些信息对于制定阻断病原体传播的策略至关重要，不仅对于抗蜱疫苗的开发，而且对于人类疾病的新药理活性化合物的发现和开发也是至关重要的。