State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Shandong Academy of Medical Sciences, Qingdao, China.
State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Shandong Academy of Medical Sciences, Qingdao, China; School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, China.
Clin Microbiol Infect. 2016 Jul;22(7):643.e7-643.e12. doi: 10.1016/j.cmi.2016.04.008. Epub 2016 Apr 19.
Bacterial ocular infections are common. Traditional culture and molecular biological methods have obvious limitations to identify the conjunctival microbiota, while metagenomic studies can avoid the defects of these methods. We used the Illumina high-throughput sequencing technology (MiSeq Illumina Sequencing Platform) to sequence the 16S rDNA V3-V4 hypervariable region of all bacteria in conjunctival swab samples. The operational taxonomic units were obtained from the sequences. The bioinformatic analyses of taxonomy, abundance and alpha diversity were performed. A total of 840 373 high-quality sequencing reads were generated from 31 conjunctival samples. The number of the species operational taxonomic units ranged from 159 to 2042, indicating high microbial diversity. The combined bacterial community was classified into 25 phyla and 526 distinct genera. At the genus level, Corynebacterium (28.22%), Pseudomonas (26.75%), Staphylococcus (5.28%), Acinetobacter (4.74%), Streptococcus (2.85%), Millisia (2.16%), Anaerococcus (1.86%), Finegoldia (1.68%), Simonsiella (1.48%) and Veillonella (1.00%) accounted for over 76% of the microbial community, possibly representing the core genera in normal conjunctival microbiota. The composition and diversity of microbiota in the normal adult human conjunctiva were characterized using high-throughput sequencing. A framework for investigating potential roles played by the diverse microbiota in disease related with the ocular surface was provided.
细菌性眼部感染很常见。传统的培养和分子生物学方法在识别结膜微生物群方面有明显的局限性,而宏基因组学研究可以避免这些方法的缺陷。我们使用 Illumina 高通量测序技术(MiSeq Illumina 测序平台)对结膜拭子样本中的所有细菌的 16S rDNA V3-V4 高变区进行测序。从序列中获得操作分类单元。对分类、丰度和 alpha 多样性进行生物信息学分析。从 31 个结膜样本中产生了 840373 个高质量测序reads。物种操作分类单元的数量范围从 159 到 2042,表明微生物多样性很高。组合细菌群落分为 25 个门和 526 个不同的属。在属水平上,棒状杆菌(28.22%)、假单胞菌(26.75%)、葡萄球菌(5.28%)、不动杆菌(4.74%)、链球菌(2.85%)、米利西(2.16%)、厌氧球菌(1.86%)、金氏菌(1.68%)、西蒙斯菌(1.48%)和韦荣球菌(1.00%)占微生物群落的 76%以上,可能代表正常结膜微生物群的核心属。使用高通量测序技术对正常成人结膜的微生物群落组成和多样性进行了描述。为研究与眼表相关疾病中多样化微生物群的潜在作用提供了一个框架。