Hilliam Yasmin, Moore Matthew P, Lamont Iain L, Bilton Diana, Haworth Charles S, Foweraker Juliet, Walshaw Martin J, Williams David, Fothergill Joanne L, De Soyza Anthony, Winstanley Craig
Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.
These authors contributed equally.
Eur Respir J. 2017 Apr 26;49(4). doi: 10.1183/13993003.02108-2016. Print 2017 Apr.
To characterise populations during chronic lung infections of non-cystic fibrosis bronchiectasis patients, we used whole-genome sequencing to 1) assess the diversity of and the prevalence of multilineage infections; 2) seek evidence for cross-infection or common source acquisition; and 3) characterise adaptations.189 isolates, obtained from the sputa of 91 patients attending 16 adult bronchiectasis centres in the UK, were whole-genome sequenced.Bronchiectasis isolates were representative of the wider population. Of 24 patients from whom multiple isolates were examined, there were seven examples of multilineage infections, probably arising from multiple infection events. The number of nucleotide variants between genomes of isolates from different patients was in some cases similar to the variations observed between isolates from individual patients, implying the possible occurrence of cross-infection or common source acquisition.Our data indicate that during infections of bronchiectasis patients, populations adapt by accumulating loss-of-function mutations, leading to changes in phenotypes including different modes of iron acquisition and variations in biofilm-associated polysaccharides. The within-population diversification suggests that larger scale longitudinal surveillance studies will be required to capture cross-infection or common source acquisition events at an early stage.
为了描述非囊性纤维化支气管扩张症患者慢性肺部感染期间的菌群特征,我们使用全基因组测序来:1)评估多谱系感染的多样性和患病率;2)寻找交叉感染或共同来源感染的证据;3)描述适应性特征。对从英国16个成人支气管扩张症中心的91名患者痰液中获取的189株菌株进行了全基因组测序。支气管扩张症分离株代表了更广泛的菌群。在对24名提供了多个分离株的患者进行检测时,发现了7例多谱系感染,可能源于多次感染事件。不同患者分离株基因组之间的核苷酸变异数量,在某些情况下与个体患者分离株之间观察到的变异相似,这意味着可能发生了交叉感染或共同来源感染。我们的数据表明,在支气管扩张症患者感染期间,菌群通过积累功能丧失突变来适应,导致表型变化,包括不同的铁摄取模式和生物膜相关多糖的变异。菌群内部的多样性表明,需要进行更大规模的纵向监测研究,以便在早期阶段捕捉交叉感染或共同来源感染事件。