Noureldin Elsiddig, Tan Denise, Daffalla Ommer, Almutairi Hatim, Ghzwani Jaber, Torno Majhalia, Mashi Omar, Hobani Yahya, Ding Huicong, Alamri Abdullah, Shrwani Khalid, Albarrag Ahmed, Eisa Zaki
Saudi Public Health Authority, Vector-Borne Diseases Laboratory, Jazan 45142, Saudi Arabia.
Environmental Health Institute, National Environment Agency, 11 Biopolis Way, #06-05-08, Helios Block, Singapore 128667, Singapore.
Pathogens. 2022 Apr 19;11(5):486. doi: 10.3390/pathogens11050486.
The conventional morphological characterization of mosquito species remains heavily used for species identification in Jazan, Saudi Arabia. It requires substantial expertise and time, as well as having difficulty in confirming identity of morphologically similar species. Therefore, to establish a reliable and accurate identification system that can be applied to understanding spatial distribution of local mosquito species from the Jazan region, DNA barcoding was explored as an integrated tool for mosquito species identification. In this study, 44 adult mosquito specimens were analyzed, which contain 16 species belong to three genera of potential mosquito disease vectors (, , and ). The specimens were collected from the Jazan region located in southwest Saudi Arabia. These included old and preserved mosquito voucher specimens. In addition, we assessed the genetic distance based on the generated mitochondrial partial DNA barcodes to detect cryptic diversity across these taxa. Nine mosquito species belonging to three genera were successfully barcoded and submitted to GenBank, namely: , , , , , , , , and . Of these nine species, , , , and were registered in GenBank for the first time from Saudi Arabia. The DNA barcodes generated a 100% match to known barcodes of these mosquito species, that also matched with the morphological identification. was found to be either a case of cryptic species (subspecies) or a new species from the region. However, more research has to be conducted to prove the latter. This study directly contributes to the development of a molecular reference library of mosquito species from the Jazan region and Saudi Arabia. The library is essential for confirmation of species in support of existing mosquito surveillance and control programmes.
在沙特阿拉伯的吉赞,传统的蚊虫种类形态学特征描述仍大量用于物种鉴定。这需要大量专业知识和时间,而且在确认形态相似物种的身份方面存在困难。因此,为建立一个可靠且准确的鉴定系统,以便应用于了解吉赞地区当地蚊虫种类的空间分布,DNA条形码技术被探索作为蚊虫种类鉴定的综合工具。在本研究中,对44只成年蚊虫标本进行了分析,这些标本包含属于潜在蚊虫疾病传播媒介三个属( 、 和 )的16个物种。标本采集自沙特阿拉伯西南部的吉赞地区。其中包括陈旧的和保存的蚊虫凭证标本。此外,我们基于所生成的线粒体部分DNA条形码评估了遗传距离,以检测这些分类群中的隐存多样性。属于三个属的9种蚊虫成功进行了条形码编码并提交至GenBank,即: 、 、 、 、 、 、 、 和 。在这9个物种中, 、 、 和 首次从沙特阿拉伯被登记到GenBank。所生成的DNA条形码与这些蚊虫物种的已知条形码100%匹配,这也与形态学鉴定结果相符。 被发现要么是一个隐存物种(亚种)的情况,要么是该地区的一个新物种。然而,还需要进行更多研究来证明后者。本研究直接有助于构建吉赞地区和沙特阿拉伯蚊虫种类的分子参考文库。该文库对于支持现有蚊虫监测和控制项目的物种确认至关重要。