Antibiotic resistance in the food supply chain: where can sequencing and metagenomics aid risk assessment?

Current Opinion in Food Science

Volumn 14, Issue , 2017, Pages 66-71

  Bengtsson Palme, Johan ^a,b  

^a UNIVERSITY OF GOTHENBURG   (Sweden)

^b UNIVERSITY OF GOTHENBURG   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85012285899     PISSN: 22147993     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cofs.2017.01.010     Document Type: Review

References (56)

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10. 10•• Noyes, N.R., Yang, X., Linke, L.M., Magnuson, R.J., Dettenwanger, A., Cook, S., Geornaras, I., Woerner, D.E., Gow, S.P., McAllister, T.A., et al. Resistome diversity in cattle and the environment decreases during beef production. Elife, 5, 2016, e13195 This study is probably the most thorough to date utilizing metagenomic sequencing to address antibiotic resistance risks related to food safety. Through comprehensive sampling of the beef production process, including animal feces, soil, water, transport trucks and slaughter, the authors highlight where in the food production chain the abundance and diversity of resistance genes is highest. The study also underscores several obstacles that face metagenomics if it were to be applied in routine screening.
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56. 56• Hu, Y., Liu, F., Lin, I.Y.C., Gao, G.F., Zhu, B., Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16 (2016), 146–147 This study is a neat example of that metagenomic data can be re-used to screen for resistance genes that may be discovered in the future. Here, the authors find the novel mcr-1 colistin resistance gene described in Ref. [40•] in metagenomes from the human gut, originally sequenced years before the discovery of mcr-1. This emphasizes the power of metagenomics for retrospective analysis of resistance.