Yousefi-Behzadi Manijeh, Mehrabi Atefeh, Ahmadinezhad Mozhgan, Rohani Mahdi, Naddaf Saied Reza, Bagheri Amin, Shams-Ghahfarokhi Masoomeh, Maghsoudlou Ebrahim, Mojahed Nooshin, Mounesan Leila, Tahmasebi Zahra, Sohrabi Aria, Salehi-Vaziri Mostafa, Salehi Zahra, Razzaghi-Abyaneh Mehdi
Department of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran.
National Reference Laboratory of Plague, Tularemia and Q Fever, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran.
J Arthropod Borne Dis. 2023 Jun 30;17(2):152-164. doi: 10.18502/jad.v17i2.13620. eCollection 2023 Jun.
Understanding the microbiota of disease vectors can help for developing new strategies to prevent the transmission of vector pathogens. is one of the most notorious tick vectors with increasing importance in Iran and other parts of the world while there is limited data on its microbiota. This study aimed to use metagenomics for identifying the tick's microbiota of Iran.
A total of 39 adult ticks were collected from Mazandaran (21 females), Gilan (17 females), and Golestan (1 male). Five tick pools prepared from 39 adults of were subjected to metagenomics analysis. The data were analyzed by targeting the V6 region of the 16S rRNA gene by Illumina 4000 Hiseq sequencing.
Among hundreds of intestinal microbiota identified by metagenomics, various pathogenic microorganisms distributed in 30 genera and species including those responsible for tick-borne diseases resided in the genera , , and were found.
Our results indicated that metagenomics identifies bacteria genera and species which cannot be easily recognized by routine methods. The presence of such pathogenic bacteria indicates the importance of possible zoonotic diseases in this region which could affect public health. These results further substantiate the importance of advanced metagenomics analyses to identify neglected tick-borne pathogens which enable researchers to provide efficient mapping roads for the management of emerging and re-emerging infectious diseases.
了解病媒生物的微生物群有助于制定预防病媒传播病原体的新策略。在伊朗和世界其他地区, 是最臭名昭著的蜱类病媒之一,其重要性日益增加,而关于其微生物群的数据却很有限。本研究旨在利用宏基因组学鉴定伊朗 蜱的微生物群。
从马赞德兰(21只雌性)、吉兰(17只雌性)和戈勒斯坦(1只雄性)共采集了39只成年蜱。将从39只成年蜱制备的5个蜱样本池进行宏基因组学分析。通过Illumina 4000 Hiseq测序靶向16S rRNA基因的V6区域对数据进行分析。
通过宏基因组学鉴定出数百种肠道微生物群,发现了分布在30个属和种中的各种致病微生物,包括存在于 属、 属和 属中那些导致蜱传疾病的微生物。
我们的结果表明,宏基因组学能够鉴定出常规方法难以识别的细菌属和种。这些致病细菌的存在表明该地区可能存在人畜共患病,可能会影响公众健康。这些结果进一步证实了先进的宏基因组学分析对于识别被忽视的蜱传病原体的重要性,这使研究人员能够为管理新出现和再次出现的传染病提供有效的规划路径。