PRJDB3274 Illuminating co-occurrence patterns of bacterial community in cellar We applied next generation sequence by Illumina miseq platform to investigate the potential interactions between bacterial taxa. 804 genera were obtained from a 16S rRNA gene dataset containing 362,551 prokaryote sequences of 9 samples with triplicate in two cellars. We applied network analysis approaches to calculate the associations between the genera. C-score test indicated the prokaryote in cellar was co-occurrence nonrandom, and network inference showed that some genera tended to co-occur in cellar, such as Lactobacillus tend to co-occur with pediococcus, corynebacterium and the members of Bacillaceae, Leuconostocaceae, and a series of negative correlations were found between Lactobacillus and Clostridium, Methanosarcina, Syntrophomonas, Methanoculleus, Thermacetogenium. Overall, we got a more integrated understanding of the ecological rules guiding bacterial community structure in cellar. Illuminating co-occurrence patterns of bacterial community in cellar bioproject PRJDB3274 PRJDB3274 true We applied next generation sequence by Illumina miseq platform to investigate the potential interactions between bacterial taxa. 804 genera were obtained from a 16S rRNA gene dataset containing 362,551 prokaryote sequences of 9 samples with triplicate in two cellars. We applied network analysis approaches to calculate the associations between the genera. C-score test indicated the prokaryote in cellar was co-occurrence nonrandom, and network inference showed that some genera tended to co-occur in cellar, such as Lactobacillus tend to co-occur with pediococcus, corynebacterium and the members of Bacillaceae, Leuconostocaceae, and a series of negative correlations were found between Lactobacillus and Clostridium, Methanosarcina, Syntrophomonas, Methanoculleus, Thermacetogenium. Overall, we got a more integrated understanding of the ecological rules guiding bacterial community structure in cellar.