Bacci Giovanni, Mengoni Alessio, Fiscarelli Ersilia, Segata Nicola, Taccetti Giovanni, Dolce Daniela, Paganin Patrizia, Morelli Patrizia, Tuccio Vanessa, De Alessandri Alessandra, Lucidi Vincenzina, Bevivino Annamaria
Department of Biology, University of Florence, Florence 50019, Italy.
Cystic Fibrosis Microbiology and Cystic Fibrosis Center, "Bambino Gesù" Children's Hospital and Research Institute, Rome 00165, Italy.
Int J Mol Sci. 2017 Jul 29;18(8):1654. doi: 10.3390/ijms18081654.
In recent years, next-generation sequencing (NGS) was employed to decipher the structure and composition of the microbiota of the airways in cystic fibrosis (CF) patients. However, little is still known about the overall gene functions harbored by the resident microbial populations and which specific genes are associated with various stages of CF lung disease. In the present study, we aimed to identify the microbial gene repertoire of CF microbiota in twelve patients with severe and normal/mild lung disease by performing sputum shotgun metagenome sequencing. The abundance of metabolic pathways encoded by microbes inhabiting CF airways was reconstructed from the metagenome. We identified a set of metabolic pathways differently distributed in patients with different pulmonary function; namely, pathways related to bacterial chemotaxis and flagellar assembly, as well as genes encoding efflux-mediated antibiotic resistance mechanisms and virulence-related genes. The results indicated that the microbiome of CF patients with low pulmonary function is enriched in virulence-related genes and in genes encoding efflux-mediated antibiotic resistance mechanisms. Overall, the microbiome of severely affected adults with CF seems to encode different mechanisms for the facilitation of microbial colonization and persistence in the lung, consistent with the characteristics of multidrug-resistant microbial communities that are commonly observed in patients with severe lung disease.
近年来,下一代测序(NGS)技术被用于解析囊性纤维化(CF)患者气道微生物群的结构和组成。然而,对于常驻微生物群体所具有的整体基因功能以及哪些特定基因与CF肺部疾病的不同阶段相关,我们仍然知之甚少。在本研究中,我们旨在通过对12例重度及正常/轻度肺部疾病患者的痰液进行鸟枪法宏基因组测序,来鉴定CF微生物群的微生物基因库。从宏基因组中重建了居住在CF气道中的微生物所编码的代谢途径的丰度。我们鉴定出了一组在不同肺功能患者中分布不同的代谢途径;即与细菌趋化性和鞭毛组装相关的途径,以及编码外排介导的抗生素抗性机制的基因和毒力相关基因。结果表明,肺功能低下的CF患者的微生物群富含毒力相关基因和编码外排介导的抗生素抗性机制的基因。总体而言,重度CF成年患者的微生物群似乎编码了不同的机制,以促进微生物在肺部的定植和持续存在,这与重度肺部疾病患者中常见的多重耐药微生物群落的特征一致。