基于16S rRNA基因测序法分析北京霾污染过程中PM2.5和PM10细菌群落特征

2013年1月8~14日,北京出现了严重的霾污染.霾污染时高浓度的大气颗粒物增加了暴露人群的健康风险,而大气中的微生物也可能带来一些风险,但目前对霾污染时大气中微生物组成了解较少.本研究选取了2013年1月8~14日北京7d的PM2.5和PM10采样样本,通过对细菌16S rRNA基因V3区扩增和Mi Seq测序,得到PM2.5和PM10中的细菌群落结构特征,并将结果与相同采样样本的宏基因组测序结果及三项国外基于16S rRNA基因测序方法的大气中细菌研究结果进行了比较.研究发现7 d连续采样条件下,PM2.5中细菌群落结构在门和属的水平上均差别不大.在属级别上,节杆菌属(Arthrobacter)和弗兰克氏菌属(Frankia)是北京冬季大气中细菌群落的主要类群.16S rRNA基因测序与宏基因组测序结果对比分析发现,在属级别上,两种分析方法中有39个相同的属类群(两种分析方法丰度前50的细菌类群合并所得),弗兰克氏菌属(Frankia)和副球菌属(Paracoccus)在16S rRNA基因测序分析结果中相对含量较多,而考克氏菌属(Kocuria)和地嗜皮菌属(Geodermatophilus)在宏基因组测序结果中相对含量较高.在门和属的水平上,PM2.5和PM10中细菌群落结构特征呈现出相似的规律.在门水平上,放线菌门(Actinobacteria)在PM2.5中的相对百分比较大,而厚壁菌门(Firmicutes)在PM10中的相对百分比较大.在属水平上,梭菌属(Clostridium)在PM10中的相对百分比较大.与三项国外基于16S rRNA基因测序研究结果对比发现,尽管在采样地点和采样时间上有较大差异,大气中普遍存在一些相同的细菌类群,且近地面大气细菌群落结构特征相似度较高,区别于高空对流层中细菌群落结构特征.

Characterizing Beijing's Airborne Bacterial Communities in PM2.5and PM10 Samples During Haze Pollution Episodes Using 16S rRNA Gene Analysis Method

During 8^th-14^th Jan., 2013, severe particulate matter (PM) pollution episodes happened in Beijing. These air pollution events lead to high risks for public health. In addition to various PM chemical compositions, biological components in the air may also impose threaten. Little is known about airborne microbial community in such severe air pollution conditions. PM_2.5 and PM₁₀ samples were collected during that 7-day pollution period. The 16S rRNA gene V3 amplification and the MiSeq sequencing were performed for analyzing these samples. It is found that there is no significant difference at phylum level for PM_2.5 bacterial communities during that 7-day pollution period both at phylum and at genus level. At genus level, Arthrobacter and Frankia are the major airborne microbes presented in Beijing winter samples. At genus level, there are 39 common genera (combined by first 50 genera bacterial of the two analysis) between the 16S rRNA gene analysis and those are found by Metagenomic analysis on the same PM samples. Frankia and Paracoccus are relatively more abundant in 16S rRNA gene data, while Kocuria and Geodermatophilus are relatively more abundant in Meta data. PM₁₀ bacterial communities are similar to those of PM_2.5 with some noticeable differences, i.e., at phylum level, more Firmicutes and less Actinobacteria present in PM₁₀ samples than in PM_2.5 samples, while at genus level, more Clostridium presents in PM₁₀ samples. The findings in Beijing were compared with three 16S rRNA gene studies in other countries. Although the sampling locations and times are different from each other, compositions of bacterial community are similar for those sampled at the ground atmosphere. Airborne microbial communities near the ground surface are different from those sampled in the upper troposphere.