在河口水产养殖中对抗生素耐药性基因的来源归因:一种机器学习方法
Helena Sofia Salgueiro1, Ana Cristina Ferreira2,3, Ana Sofia Ribeiro Duarte4
1Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.
Antibiotics (Basel, Switzerland)
|January 26, 2024
概括
城市河口的水产养殖环境可以通过食物链将抗菌素耐药性基因传播给人类. 机器学习在葡萄牙水产养殖沉积物中确定了诸如四环素耐药性 (tet) 和氨基糖化物耐药性 (aadA6) 等关键基因.
科学领域:
- 环境科学 环境科学
- 微生物学 微生物学
- 水产养殖是水产养殖的一种方式.
背景情况:
- 城市河口的水产养殖面临人类活动带来的环境影响,包括抗菌素耐药性基因的交换.
- 这些抗性基因可以通过食物链转移,可能有助于人类抗体.
研究的目的:
- 探索葡萄牙河口水产养殖沉积物中抗菌素耐药性基因的存在.
- 应用机器学习模型来预测这些抗性基因的来源.
主要方法:
- 利用两种机器学习模型分析了,金头海,和鱼水产养殖沉积物的34个抵抗体观测结果.
- 在第一个模型中确定了53种不同的抗微生物耐药性基因作为预测因素,在第二个模型中确定了30种 (沉积物特定).
主要成果:
- 确定了用于来源归因的关键抗微生物耐药性基因,包括四环素耐药性基因 (tet(51),tet(L),氨基糖化物耐药性基因 (aadA6),β-乳酸盐耐药性基因 (blaBRO-2) 和氨基醇耐药性基因 (cmx_1).
- 在沉积物中, aadA6, tet(L) 和 tet(33) 是最重要的预测因素.
结论:
- 这项研究提供了葡萄牙水产养殖中抗菌素耐药性基因的初步数据.
- 强调环境监测对于保持水产养殖可持续性和完整性的重要性.
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