Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Systems Genomics Section, Laboratory of Parasitic Diseases, National Institutes of Health, NIH, Bethesda, MD, 20894, USA.
Microbiome. 2023 Jun 17;11(1):136. doi: 10.1186/s40168-023-01568-0.
Disruption of the microbial community in the respiratory tract due to infections, like influenza, could impact transmission of bacterial pathogens. Using samples from a household study, we determined whether metagenomic-type analyses of the microbiome provide the resolution necessary to track transmission of airway bacteria. Microbiome studies have shown that the microbial community across various body sites tends to be more similar between individuals who cohabit in the same household than between individuals from different households. We tested whether there was increased sharing of bacteria from the airways within households with influenza infections as compared to control households with no influenza.
We obtained 221 respiratory samples that were collected from 54 individuals at 4 to 5 time points across 10 households, with and without influenza infection, in Managua, Nicaragua. From these samples, we generated metagenomic (whole genome shotgun sequencing) datasets to profile microbial taxonomy. Overall, specific bacteria and phages were differentially abundant between influenza positive households and control (no influenza infection) households, with bacteria like Rothia, and phages like Staphylococcus P68virus that were significantly enriched in the influenza-positive households. We identified CRISPR spacers detected in the metagenomic sequence reads and used these to track bacteria transmission within and across households. We observed a clear sharing of bacterial commensals and pathobionts, such as Rothia, Neisseria, and Prevotella, within and between households. However, due to the relatively small number of households in our study, we could not determine if there was a correlation between increased bacterial transmission and influenza infection.
We observed that airway microbial composition differences across households were associated with what appeared to be different susceptibility to influenza infection. We also demonstrate that CRISPR spacers from the whole microbial community can be used as markers to study bacterial transmission between individuals. Although additional evidence is needed to study transmission of specific bacterial strains, we observed sharing of respiratory commensals and pathobionts within and across households. Video Abstract.
由于感染(如流感)而导致呼吸道微生物群落的破坏,可能会影响细菌病原体的传播。本研究使用来自家庭研究的样本,确定宏基因组分析是否能提供足够的分辨率来追踪气道细菌的传播。微生物组研究表明,在同一家庭中共同生活的个体之间,其不同身体部位的微生物群落往往比来自不同家庭的个体更为相似。我们检测了在流感感染的家庭中,与没有流感感染的对照家庭相比,呼吸道细菌的共享是否增加。
我们从尼加拉瓜马那瓜的 10 个家庭中 54 名个体的 221 个呼吸道样本中,在有或没有流感感染的情况下,在 4 到 5 个时间点采集了样本。从这些样本中,我们生成了宏基因组(全基因组鸟枪法测序)数据集,以分析微生物分类。总体而言,流感阳性家庭和对照(无流感感染)家庭之间的特定细菌和噬菌体的丰度存在差异,流感阳性家庭中丰度显著增加的细菌如 Rothia 和噬菌体如葡萄球菌 P68 病毒。我们在宏基因组序列读数中检测到了 CRISPR 间隔区,并利用这些间隔区来跟踪家庭内和家庭间的细菌传播。我们观察到在家庭内和家庭间存在细菌共生菌和条件致病菌的明显共享,如 Rothia、Neisseria 和 Prevotella。然而,由于我们的研究中家庭数量相对较少,我们无法确定细菌传播增加与流感感染之间是否存在相关性。
我们观察到,家庭间气道微生物组成的差异与流感感染的易感性似乎不同有关。我们还证明,整个微生物群落的 CRISPR 间隔区可作为研究个体间细菌传播的标志物。尽管需要更多的证据来研究特定细菌菌株的传播,但我们观察到在家庭内和家庭间存在呼吸道共生菌和条件致病菌的共享。视频摘要。