Parthasarathy Anutthaman, Wong Narayan H, Weiss Amanda N, Tian Susan, Ali Sara E, Cavanaugh Nicole T, Chinsky Tyler M, Cramer Chelsea E, Gupta Aditya, Jha Rakshanda, Johnson Loryn K, Tuason Elizabeth D, Klafehn Lauren M, Krishnadas Varada, Musich Ryan J, Pfaff Jennifer M, Richman Spencer C, Shumway Alexandria J, Hudson André O
The Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, Rochester NY, USA.
J Genomics. 2019 Feb 19;7:26-30. doi: 10.7150/jgen.31911. eCollection 2019.
Are touchscreen devices a public health risk for the transmission of pathogenic bacteria, especially those that are resistant to antibiotics? To investigate this, we embarked on a project aimed at isolating and identifying bacteria that are resistant to antibiotics from the screens of smartphones. Touchscreen devices have become ubiquitous in society, and it is important to evaluate the potential risks they pose towards public health, especially as it pertains to the harboring and transmission of pathogenic bacteria that are resistant to antibiotics. Sixteen bacteria were initially isolated of which five were unique (four species and one species). The genomes of the five unique isolates were subsequently sequenced and annotated. The genomes were analyzed using tools to predict the synthesis of antibiotics and secondary metabolites using the biotics and econdary etabolite nalysis ell (antiSMASH) tool in addition to the presence of gene clusters that denote resistance to antibiotics using the esistance ene dentifier (RGI) tool. analysis was also done to assess resistance/susceptibility to four antibiotics that are commonly used in a research laboratory setting. The data presented in this manuscript is the result of a semester-long inquiry based laboratory exercise in the genomics course (BIOL340) in the Thomas H. Gosnell School of Life Sciences/College of Science at the Rochester Institute of Technology.
触摸屏设备会成为致病性细菌传播的公共卫生风险因素吗?尤其是那些对抗生素具有耐药性的细菌。为了对此进行调查,我们开展了一个项目,旨在从智能手机屏幕上分离并鉴定对抗生素具有耐药性的细菌。触摸屏设备在社会中已无处不在,评估它们对公共卫生构成的潜在风险非常重要,特别是涉及对抗生素具有耐药性的致病细菌的藏匿和传播。最初分离出了16种细菌,其中5种是独特的(4个物种和1个物种)。随后对这5种独特分离株的基因组进行了测序和注释。除了使用抗性基因标识符(RGI)工具来检测表示对抗生素具有抗性的基因簇的存在外,还使用抗生素和次生代谢产物分析软件(antiSMASH)工具对基因组进行分析,以预测抗生素和次生代谢产物的合成。还进行了分析,以评估在研究实验室环境中常用的四种抗生素的抗性/敏感性。本手稿中呈现的数据是罗切斯特理工学院托马斯·H·戈斯内尔生命科学学院/理学院基因组学课程(BIOL340)中为期一学期的基于探究的实验室练习的结果。