Bacterial Communities Associated with Houseflies (Musca domestica L.) Inhabiting Hospices in South Africa

Author:

Monyama Maropeng C.12ORCID,Taioe Oriel M.23ORCID,Nkhebenyane Jane S.4,van Wyk Deidre2ORCID,Ramatla Tsepo2ORCID,Thekisoe Oriel M. M.2ORCID

Affiliation:

1. Department of Life and Consumer Sciences, University of South Africa, Florida 1710, South Africa

2. Unit for Environmental Sciences and Management, North-West University, Potchefstroom 2520, South Africa

3. Epidemiology, Parasites and Vectors, Agricultural Research Council–Onderstepoort Veterinary Research, Pretoria 0110, South Africa

4. Department of Life Sciences, Central University of Technology, Bloemfontein 9300, South Africa

Abstract

Houseflies are alleged reservoirs as well as vectors of human and animal pathogens, including bacteria, because they frequently have contact with animal excreta and decaying organic substances. The rapid adaptation process of ingested microbes in the insect gut may involve gene transfer, including antibiotic resistance determinants among different bacterial strains. Six hundred and fifty-seven (n = 657) houseflies were collected from hospices and were identified morphologically and genetically using the 16S rRNA, CO1, and ITS2 barcoding genes. This study also characterized the bacterial communities harboured by the captured houseflies using 16S rRNA metabarcoding on the next-generation sequencing (NGS) platform and further sought to detect antibiotic resistance traits by using gene-specific PCR assays. Generated sequences for the targeted gene fragments matched with Musca domestica and all the sequences were deposited to the GenBank database. The 16S rRNA metabarcoding analysis revealed that the most abundant phyla detected with variable abundance observed among all the houseflies were Proteobacteria, followed by Firmicutes, and Bacteroidetes. Furthermore, the NGS data revealed the presence of multiple bacterial genera, including Providencia, Enterobacter, Dysgonomonas, Escherichia-Shigella, Klebsiella, Pseudomonas, and Streptococcus, which are known to harbour potentially pathogenic species of animals and humans. Antibiotic resistance genes detected from the housefly DNA in this study included ermB, tetA, blaSHV, and blaTEM. Moreover, these genes are associated with resistance to erythromycin, tetracycline, and beta-lactams antibiotics, respectively. The presence of bacterial pathogens and the detection of antibiotic resistance genes from the houseflies collected from the hospices indicates the possible health risk to patients in hospices and the surrounding community. Therefore, it is imperative to keep high standards of hygiene, food preparation, safety, and control of houseflies in hospices.

Funder

University of South Africa (AQIP Scholarship), North-West University Postgraduate student bursary and National Research Foundation

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

Reference64 articles.

1. Vector Competence of Musca domestica (Diptera: Muscidae) for Yersinia pseudotuberculosis;Zurek;J. Med. Entomol.,2001

2. Transmission of bacterial pathogens by the house fly Musca domestica vicina;Khatter;Am. J. Res. Commun.,2013

3. Zurek, K., and Nayduch, D. (2016). Bacterial Associations Across House Fly Life History: Evidence for Transstadial Carriage from Managed Manure. J. Insect Sci., 16.

4. Identification of bacteria with possible transmitted by Musca domestica (Diptera: Muscidae) in the region of Ahvaz; SW Iran;Vaziriannzadeh;J. Microbiol.,2008

5. Phylogenetic characterization of bacteria in the gut of houseflies (Musca domestica L.);Gupta;FEMS Microbiol. Ecol.,2012

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3