globalchange  > 气候减缓与适应
DOI: 10.7717/peerj.6150
WOS记录号: WOS:000455171700004
论文题名:
Using the wax moth larva Galleria mellonella infection model to detect emerging bacterial pathogens
作者: Hernandez, Rafael J.1,4; Hesse, Elze2; Dowling, Andrea J.2; Coyle, Nicola M.3; Feil, Edward J.3; Gaze, Will H.4; Vos, Michiel4
通讯作者: Vos, Michiel
刊名: PEERJ
ISSN: 2167-8359
出版年: 2019
卷: 6
语种: 英语
英文关键词: Virulence ; Emerging infectious diseases ; Antibiotic resistance ; Galleria mellonella ; Pathogens ; Proteus mirabilis ; Vibrio injenensis ; Escherichia coli ; Pseudomonas aeruginosa
WOS关键词: PROTEUS-MIRABILIS ; DRINKING-WATER ; UNITED-STATES ; VIRULENCE ; SEQUENCE ; RISK ; FOOD
WOS学科分类: Multidisciplinary Sciences
WOS研究方向: Science & Technology - Other Topics
英文摘要:

Climate change, changing farming practices, social and demographic changes and rising levels of antibiotic resistance are likely to lead to future increases in opportunistic bacterial infections that are more difficult to treat. Uncovering the prevalence and identity of pathogenic bacteria in the environment is key to assessing transmission risks. We describe the first use of the Wax moth larva Galleria mellonella, a well-established model for the mammalian innate immune system, to selectively enrich and characterize pathogens from coastal environments in the South West of the UK. Whole-genome sequencing of highly virulent isolates revealed amongst others a Proteus mirabilis strain carrying the Salmonella SGI1 genomic island not reported from the UK before and the recently described species Vibrio injenensis hitherto only reported from human patients in Korea. Our novel method has the power to detect bacterial pathogens in the environment that potentially pose a serious risk to public health.


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被引频次[WOS]:20   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/127755
Appears in Collections:气候减缓与适应

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作者单位: 1.SUNY Stony Brook, Stony Brook Sch Med, Dept Global Med Educ, Stony Brook, NY 11794 USA
2.Univ Exeter, Dept Biosci, Penryn, England
3.Univ Bath, Milner Ctr Evolut, Dept Biol & Biochem, Bath, Avon, England
4.Univ Exeter, European Ctr Environm & Human Hlth, Penryn, England

Recommended Citation:
Hernandez, Rafael J.,Hesse, Elze,Dowling, Andrea J.,et al. Using the wax moth larva Galleria mellonella infection model to detect emerging bacterial pathogens[J]. PEERJ,2019-01-01,6
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