大基因组组合往往会围绕抗生素耐药性基因进行破坏
Anna Abramova1,2,3, Antti Karkman4, Johan Bengtsson-Palme5,6,7
1Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, Gothenburg, 413 46, Sweden. abramova@chalmers.se.
BMC genomics
|October 14, 2024
概括
大基因组组装工具在准确重建抗生素耐药性基因 (ARG) 背景方面扎. 三位一体和metaSPAdes显示出改善ARG检测和理解它们在复杂样本中的起源的希望.
科学领域:
- 基因组学就是基因组学.
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
背景情况:
- 对抗生素耐药性基因 (ARG) 和其传播的理解来说,元基因组组是至关重要的.
- 在不同的基因组背景下,相同的ARG对组装构成挑战,导致碎片化和复杂的风险评估.
- 评估组装方法对于准确的ARG检测和上下文化至关重要.
研究的目的:
- 系统地研究不同组装方法对ARG检测,量化和上下文化的影响.
- 为了比较基因组,元基因组和转录组装器在ARG分析中的性能.
- 评估ARG在模拟和现实世界元基因组样本中的回收率和准确率.
主要方法:
- 在in silico spiked和真实metagenomic样本上评估了各种组装器 (基因组,元基因组,转录基因组) 的性能.
- 利用长读和短读测序技术.
- 对ARG及其基因组背景的量化恢复和准确率.
主要成果:
- 没有单一的工具能够准确地捕获高复杂性样本中的基因组背景.
- 三位一体在重建更长,独特的结合物方面表现出色,有助于确定ARG的分类起源.
- MetaSPAdes 和 MEGAHIT 确定了 ARG 谱,但错过了各种基因组背景; MEGAHIT 产生了短的结合体,可能低估了抗体.
结论:
- 在不均覆盖的元基因组样本中,MetaSPAdes和Trinity是准确的ARG基因组上下文恢复的首选.
- 装配器在重建长 ARG 含有的连接器时的局限性影响量化.
- 建议将ARG数据库的直接读取映射作为准确的ARG丰度和多样性测量的补充策略.
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