Distribution characteristics of microbial community structure in atmospheric particulates of the typical industrial city in Jiangsu province, China

Figures & data

Figure 1. PCR amplification results

Figure 2. Pollution level in different functional areas

Figure 3. Pollution level in different months

Figure 4. The correlation analysis of PM_2.5 and PM_10.

Figure 5. SEM and EDS of PM_2.5.

Figure 6. DGGE of 16S rDNA of atmospheric bacterial community

Table 1. The diversity index of different samples

Sampling points	Particle size	Lane number	Band number	Shannon index	Simpson index	Evenness index
HHNV	TSP	1#-1	7	1.74	0.18	0.97
	PM10	1#-2	11	2.36	0.10	0.99
	PM2.5	1#-3	13	2.42	0.094	0.98
HT	TSP	2#-1	9	1.93	0.11	0.97
	PM10	2#-2	9	1.95	0.11	0.97
	PM2.5	2#-3	9	1.95	0.11	0.97
TSAH	TSP	3#-1	11	2.36	0.097	0.99
	PM10	3#-2	10	2.04	0.133	0.98
	PM2.5	3#-3	10	2.04	0.133	0.98

Figure 7. UPGMA cluster analysis chart

Table 2. BLAST comparison of DGGE sequencing bands

Phylum	Band	Closest strain	Serial number	Similarity (%)	Sequence length(bp)
Proteobacteria	Band2	Bradyrhizobium sp.	AF508147	87	171
	Band10	Brucella melitensis biovar Suis	AY513506	100	169
	Band11	Methylobacterium sp. SY-2	AJ278347	100	169
Bacteroidetes	Band4	uncultured bacterium	KF064961	97	194
	Band6	Flexibacter sp.	AB272379	84	188
	Band7	uncultured bacterium	AM697309	100	189
	Band14	uncultured bacterium	GQ477860	96	189
Firmicutes	Band1	Lactobacillus fornicalis	Y18654	100	194
	Band13	Lactobacillus helveticus	JQ805621	96	193
	Band12	uncultured bacterium	GQ019259	90	194
	Band3	Lactobacillus fermentum	X61142	100	193
	Band5	Lactobacillus crispatus	AF243174	95	194
Actinobacteria	Band9	Microbacteriaceae bacterium Tibet-IT11	DQ177485	97	174
Candidatus Saccharibacteria	Band8	uncultured bacterium	GQ047882	68	169

Figure 8. DGGE 16S rDNA phylogenetic tree

Data availability statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.