United States Army Medical Research Directorate-Africa, P. O. Box 606-00621, Village Market, Nairobi, Kenya.
Jomo Kenyatta University of Agriculture and Technology, P. O. Box 62000-00200, Nairobi, Kenya.
Microb Genom. 2023 Aug;9(8). doi: 10.1099/mgen.0.001098.
Genomic surveillance is vital for detecting outbreaks and understanding the epidemiology and transmission of bacterial strains, yet it is not integrated into many national antimicrobial resistance (AMR) surveillance programmes. Key factors are that few scientists in the public health sector are trained in bacterial genomics, and the diverse sequencing platforms and bioinformatic tools make it challenging to generate reproducible outputs. In Kenya, these gaps were addressed by training public health scientists to conduct genomic surveillance on isolates from the national AMR surveillance repository and produce harmonized reports. The 2-week training combined theory and laboratory and bioinformatic experiences with isolates from the surveillance repository. Whole-genome sequences generated on Illumina and Nanopore sequencers were analysed using publicly available bioinformatic tools, and a harmonized report was generated using the HAMRonization tool. Pre- and post-training tests and self-assessments were used to assess the effectiveness of the training. Thirteen scientists were trained and generated data on the isolates, summarizing the AMR genes present consistently with the reported phenotypes and identifying the plasmid replicons that could transmit antibiotic resistance. Ninety per cent of the participants demonstrated an overall improvement in their post-training test scores, with an average increase of 14 %. Critical challenges were experienced in delayed delivery of equipment and supplies, power fluctuations and internet connections that were inadequate for bioinformatic analysis. Despite this, the training built the knowledge and skills to implement bacterial genomic surveillance. More advanced and immersive training experiences and building supporting infrastructure would solidify these gains to produce tangible public health outcomes.
基因组监测对于检测疫情、了解细菌株的流行病学和传播至关重要,但它并未纳入许多国家的抗菌素耐药性(AMR)监测计划中。主要原因是公共卫生部门中很少有科学家接受过细菌基因组学方面的培训,而且不同的测序平台和生物信息学工具使得难以生成可重复的结果。在肯尼亚,通过培训公共卫生科学家对国家 AMR 监测库中的分离株进行基因组监测并生成协调一致的报告,解决了这些差距。为期两周的培训将理论与实验室和生物信息学经验与监测库中的分离株相结合。使用公共可用的生物信息学工具分析在 Illumina 和 Nanopore 测序仪上生成的全基因组序列,并使用 HAMRonization 工具生成协调一致的报告。在培训前后进行测试和自我评估,以评估培训的效果。十三名科学家接受了培训并对 株分离株生成了数据,总结了与报告表型一致的存在的 AMR 基因,并确定了可能传播抗生素耐药性的质粒复制子。90%的参与者在培训后的测试中总体得分有所提高,平均提高了 14%。在设备和用品的交付延迟、电力波动和互联网连接不足等方面面临着严峻的挑战,这些都不足以进行生物信息学分析。尽管如此,培训还是建立了实施细菌基因组监测的知识和技能。更先进和沉浸式的培训经验和建立支持性基础设施将巩固这些收益,以产生切实的公共卫生成果。