背景:之前的一项研究强调了抗生素诱导的菌群失调在蜱微生物群中的作用,促进长毛鱼眼囊虫从若虫到成虫的小巴贝斯虫的跨天体传播。这项研究建立在先前发现的基础上,分析了早期研究的序列数据,以调查细菌相互作用,这些相互作用可能与蜱虫中巴贝斯虫的跨体育场传播增强有关。该研究采用了抗生素治疗(AT)和对照治疗(CT)的长螺旋藻蜱来研究微生物群落组装的变化。网络分析技术用于评估细菌相互作用,比较AT和CT组之间的网络中心性度量,同时研究网络健壮性和连通性损失。此外,进行功能分析以评估响应抗生素治疗的代谢多样性.
结果:分析显示,响应抗生素治疗,微生物群落组装发生了显著变化。与对照治疗的(CT)蜱相比,抗生素治疗的(AT)蜱显示出更多的连接节点,但相关性较低,表明互动较少,但联系更紧密的微生物群落。网络中心性度量,如学位,中间性,亲密关系,和特征向量中心性,AT和CT组之间存在显着差异,提示由于抗生素干预导致局部网络动力学的改变。柯西氏菌和不动杆菌表现出中断的连接和作用,前者显示AT组中的交互减少,而后者显示连接节点的丢失,强调它们在微生物网络稳定性中的关键作用。针对节点去除的鲁棒性测试表明,AT网络的稳定性降低,特别是在定向攻击下,确认微生物群落对干扰的敏感性。功能谱分析进一步表明,AT组的代谢能力具有更高的多样性和丰富性。反映了作为抗微生物治疗结果的微生物代谢的潜在变化。
结论:我们的研究结果支持促进巴贝斯虫的跨子宫传播的细菌相互作用特征可能与降低的定植抗性有关。AT蜱中微生物相互作用的破坏和网络鲁棒性的下降表明,可以作为管理蜱传疾病的目标的关键漏洞。
BACKGROUND: A previous study highlighted the role of antibiotic-induced dysbiosis in the tick microbiota, facilitating the transstadial transmission of Babesia microti from nymph to adult in Haemaphysalis longicornis. This study builds on previous findings by analyzing sequence data from an earlier study to investigate bacterial interactions that could be linked to enhanced transstadial transmission of Babesia in ticks. The study employed antibiotic-treated (AT) and control-treated (CT) Haemaphysalis longicornis ticks to investigate shifts in microbial community assembly. Network analysis techniques were utilized to assess bacterial interactions, comparing network centrality measures between AT and CT groups, alongside studying network robustness and connectivity loss. Additionally, functional profiling was conducted to evaluate metabolic diversity in response to antibiotic treatment.
RESULTS: The analysis revealed notable changes in microbial community assembly in response to antibiotic treatment. Antibiotic-treated (AT) ticks displayed a greater number of connected nodes but fewer correlations compared to control-treated (CT) ticks, indicating a less interactive yet more connected microbial community. Network centrality measures such as degree, betweenness, closeness, and eigenvector centrality, differed significantly between AT and CT groups, suggesting alterations in local network dynamics due to antibiotic intervention. Coxiella and Acinetobacter exhibited disrupted connectivity and roles, with the former showing reduced interactions in AT group and the latter displaying a loss of connected nodes, emphasizing their crucial roles in microbial network stability. Robustness tests against node removal showed decreased stability in AT networks, particularly under directed attacks, confirming a susceptibility of the microbial community to disturbances. Functional profile analysis further indicated a higher diversity and richness in metabolic capabilities in the AT group, reflecting potential shifts in microbial metabolism as a consequence of antimicrobial treatment.
CONCLUSIONS: Our findings support that bacterial interaction traits boosting the transstadial transmission of Babesia could be associated with reduced colonization resistance. The disrupted microbial interactions and decreased network robustness in AT ticks suggest critical vulnerabilities that could be targeted for managing tick-borne diseases.