Adekoya Aanuoluwa E, Kargbo Hoody A, Ibberson Carolyn B
Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019.
bioRxiv. 2023 Jun 7:2023.06.06.543868. doi: 10.1101/2023.06.06.543868.
Chronic polymicrobial infections (cPMIs) harbor complex bacterial communities with diverse metabolic capacities, leading to competitive and cooperative interactions. Although the microbes present in cPMIs have been established through culture-dependent and-independent methods, the key functions that drive different cPMIs and the metabolic activities of these complex communities remain unknown. To address this knowledge gap, we analyzed 102 published metatranscriptomes collected from cystic fibrosis sputum (CF) and chronic wound infections (CW) to identify key bacterial members and functions in cPMIs. Community composition analysis identified a high prevalence of pathogens, particularly and , and anaerobic members of the microbiota, including Functional profiling with HUMANn3 and SAMSA2 revealed that while functions involved in bacterial competition, oxidative stress response, and virulence were conserved across both chronic infection types, >40% of the functions were differentially expressed (padj < 0.05, fold-change >2). Higher expression of antibiotic resistance and biofilm functions were observed in CF, while tissue destructive enzymes and oxidative stress response functions were highly expressed in CW samples. Of note, strict anaerobes had negative correlations with traditional pathogens in both CW ( = -0.43) and CF ( = -0.27) samples and they significantly contributed to the expression of these functions. Additionally, we show microbial communities have unique expression patterns and distinct organisms fulfill the expression of key functions in each site, indicating the infection environment strongly influences bacterial physiology and that community structure influences function. Collectively, our findings indicate that community composition and function should guide treatment strategies for cPMIs.
慢性多微生物感染(cPMIs)中存在具有多种代谢能力的复杂细菌群落,导致竞争性和合作性相互作用。尽管通过依赖培养和不依赖培养的方法已确定了cPMIs中存在的微生物,但驱动不同cPMIs的关键功能以及这些复杂群落的代谢活动仍不清楚。为了填补这一知识空白,我们分析了从囊性纤维化痰液(CF)和慢性伤口感染(CW)中收集的102个已发表的宏转录组,以确定cPMIs中的关键细菌成员和功能。群落组成分析确定了病原体的高流行率,特别是 和 ,以及微生物群的厌氧成员,包括 。使用HUMANn3和SAMSA2进行的功能分析表明,虽然参与细菌竞争、氧化应激反应和毒力的功能在两种慢性感染类型中都是保守的,但>40%的功能存在差异表达(padj < 0.05,变化倍数>2)。在CF中观察到抗生素抗性和生物膜功能的表达较高,而在CW样本中组织破坏酶和氧化应激反应功能高度表达。值得注意的是,严格厌氧菌在CW( = -0.43)和CF( = -0.27)样本中与传统病原体呈负相关,并且它们对这些功能的表达有显著贡献。此外,我们表明微生物群落具有独特 的表达模式,并且不同的生物体在每个部位实现关键功能的表达,这表明感染环境强烈影响细菌生理学,并且群落结构影响功能。总体而言,我们的研究结果表明,群落组成和功能应指导cPMIs的治疗策略。