NMDS plot showing microbial community differences in water, gills and guts.

<p>The distances were determined using the Bray-Curtis method with relative abundance of OTUs. Green represents samples from site T, yellow samples from site S, blue samples from Y, and red samples from C. Diamonds indicate samples from water, triangles samples from gut, and circles samples from gills.</p

Additional file 3 of Genomic and metabonomic methods reveal the probiotic functions of swine-derived Ligilactobacillus salivarius

Additional file 3

Additional file 2 of Genomic and metabonomic methods reveal the probiotic functions of swine-derived Ligilactobacillus salivarius

Additional file 2

Network analysis visualizing the unique and shared bacterial groups in guts and gills of Chinese mitten crab and in the water in which they live.

<p>Node sizes correspond to the mean relative abundance of each bacterial group. The proportion of shared bacteria is represented by the different colors in the pie charts; if the proportion of the bacterial group is <0.1% in gill, gut or water, these bacterial groups are shown with a line only.</p

Frequency distribution of bacterial phyla in water, gills and guts.

<p>Similarity among samples was calculated using the Bray-Curtis method.</p

Characteristics of sampling sites and crabs.

<p>Characteristics of sampling sites and crabs.</p

Heatmap analysis of the OTUs in all samples.

<p>The color of the bar represents the abundance of each OTU in a given sample. The affiliation of each OTU is indicated on the right.</p

Additional file 4 of Genomic and metabonomic methods reveal the probiotic functions of swine-derived Ligilactobacillus salivarius

Additional file 4. Supplementary data-16S genetic sequence

Additional file 1 of Genomic and metabonomic methods reveal the probiotic functions of swine-derived Ligilactobacillus salivarius

Additional file 1

DataSheet1_Variations, sources, and effects on ozone formation of VOCs during ozone episodes in 13 cities in China.docx

In recent years, ozone (O3) pollution has worsened in China and contributes frequently to air pollution problems. To support the implementation of coordinated control for ozone and fine particulate matter, it is essential to study the chemical compositions and sources of volatile organic compounds (VOCs), which are the crucial precursor of both ozone and fine particulate matter. In this study, 117 volatile organic compounds were monitored in 13 cities in Beijing-Tianjin-Hebei Urban Agglomeration and Fenwei plain. Concentrations of total volatile organic compounds ranged from 42 to 279 μg/m3 during the monitoring episode. In all 13 cities, alkanes, halogenated hydrocarbons, aromatics and oxygenated volatile organic compounds (OVOCs) were the dominant volatile organic compounds. Contributions of alkanes, halogenated hydrocarbons, aromatics and oxygenated volatile organic compounds to total ozone formation potential (OFP) were 21.7%–32.6%, 21.0%–27.9%, 24.3%–50.8% and 28.6%–52.3%, respectively. Furthermore, the results of source apportionment by positive matrix factorization (PMF) model indicated that solvent usage, gasoline evaporation, vehicle emissions, petrochemical industry and combustion were essential volatile organic compounds sources in 13 cities. Moreover, the sensitivity of ozone production was studied using an Empirical Kinetic Modeling Approach (EKMA) model, and it was found that ozone formation was volatile organic compounds limited in all 13 cities.</p