Jiang Shuo, Kang Ming, Li Zengkui, Han Xiaoling, Chen Changjiang, He Shunfu, Hu Xiaoyu, He Yongcai, Wang Yuezhong, Li Zhongyu, Chen Jiyong, Geng Pengcheng, Chen Qiang, Ma Jinghua, Zhang Xiao, Tai Ximei, Li Ying
Qinghai University State Key Laboratory of Plateau Ecology and Agriculture, Xining, 810016, Qinghai, China.
Qinghai National Park Research, Monitoring and Evaluation Center, Xining, 810008, Qinghai, China.
Heliyon. 2024 Jul 30;10(15):e35429. doi: 10.1016/j.heliyon.2024.e35429. eCollection 2024 Aug 15.
Ticks are ectoparasites that feed on blood and pose a threat to both the livestock industry and public health due to their ability to transmit pathogens through biting. However, the impact of factors such as bloodmeal and geographic regions on the bacterial microbiota of remains poorly understood.
In this study, we used the v3-v4 region of the 16S rRNA gene to sequence the microbiota of from eight groups (HY_M, YS_M, XH_M, LD_M, BM_M, LD_F_F, LD_F, and BM_F_F) in Qinghai Province.
Significant differences in bacterial richness were observed between LD_F_F, BM_F_F, and LD_F ( < 0.01), and among the five groups (HY_M, YS_M, XH_M, BM_M, and LD_M) ( < 0.05). The bacterial diversity also differed significantly between LD_F_F, LD_F, and BM_F_F ( < 0.01), as well as among the five groups (HY_M, YS_M, XH_M, LD_M, and BM_M) ( < 0.01). The group with the highest number of operational taxonomic units (OTUs) was LD_F, accounting for 23.93 % (419/1751), while BM_F_F accounted for at least 0.80 % (14/1751). At the phylum level, was the most abundant, with relative abundance ranging from 7.44 % to 96.62 %. At the genus level, had the highest abundance, ranging from 1.67 % to 97.53 %. The endosymbiotic bacteria and were predominantly enriched in LD_F_F. Additionally, the 16S gene of showed the highest identity of 99.07 % with sp. isolated from Xinxiang hl9 (MG9066 71.1), while the 16S gene of had 100 % identity with strains (OK 662395.1). Functional predictions for the prokaryotic microbial community indicated that the main functional categories were Metabolic, Genetic information processing, and Environmental information processing across the eight groups.
This study provides a theoretical basis for the prevention and treatment of tick-borne diseases, which is of great significance for public health.
蜱是吸血外寄生虫,由于其通过叮咬传播病原体的能力,对畜牧业和公共卫生都构成威胁。然而,血餐和地理区域等因素对蜱的细菌微生物群的影响仍知之甚少。
在本研究中,我们使用16S rRNA基因的v3-v4区域对青海省八组蜱(HY_M、YS_M、XH_M、LD_M、BM_M、LD_F_F、LD_F和BM_F_F)的微生物群进行测序。
在LD_F_F、BM_F_F和LD_F之间观察到细菌丰富度存在显著差异(P<0.01),在五组(HY_M、YS_M、XH_M、BM_M和LD_M)之间也存在显著差异(P<0.05)。细菌多样性在LD_F_F、LD_F和BM_F_F之间也有显著差异(P<0.01),在五组(HY_M、YS_M、XH_M、LD_M和BM_M)之间同样有显著差异(P<0.01)。可操作分类单元(OTU)数量最多的组是LD_F,占23.93%(419/1751),而BM_F_F至少占0.80%(14/1751)。在门水平上,变形菌门最为丰富,相对丰度在7.44%至96.62%之间。在属水平上,不动杆菌属丰度最高,在1.67%至97.53%之间。内共生细菌沃尔巴克氏体属和立克次氏体属主要在LD_F_F中富集。此外,蜱的16S基因与从新乡hl9分离的嗜吞噬细胞无形体(MG906671.1)的最高相似度为99.07%,而蜱的16S基因与立克次氏体菌株(OK662395.1)的相似度为100%。对原核微生物群落的功能预测表明,八组中的主要功能类别是代谢、遗传信息处理和环境信息处理。
本研究为蜱传疾病的防治提供了理论依据,对公共卫生具有重要意义。