kinema中的细菌和真菌群落,印度喜马拉雅东部地区的一种自然发酵大豆食品,尼泊尔和不丹通过高贯穿序列分析进行了分析。Firmicutes(78.4%)是激酶中最丰富的门,其次是变形杆菌(14.76%)和其他门。检测到27种芽孢杆菌,其中枯草芽孢杆菌(28.70%)是最丰富的细菌,其次是地衣芽孢杆菌,B.热淀粉,B.蜡质,Ignatzschineria幼虫,干酪棒杆菌,B.sonorensis,普通变形杆菌,博氏短杆菌,普通热放线菌,发酵乳杆菌和印度Ignatzschinia。子囊菌是Kinema中最丰富的真菌门。加拿大大陆白血病,青霉属。,曲霉属。,外植体属。,节理属。,青霉曲霉,被孢霉。,根霉和毛霉,是主要的霉菌,和毕赤酵母,Trichosporonspp.,malanga和clocle红酵母是kinema中丰富的酵母。我们检测到277种细菌,99.09%是可培养的,0.91%是不可培养的;其中80种真菌,33.72%是可培养的,66.28%是不可培养的。观察到每个国家都有几个独特的细菌属,而在kinema中没有观察到独特的真菌属。在所有样品中观察到测序深度的最大覆盖。基于PCA图,观察到印度和尼泊尔样本之间的密切关系,而不丹的样本明显与众不同。通过KEGGOrthology和MetaCyc数据库推断与代谢相关的细菌和真菌的预测功能特征。分别。
Bacterial and fungal communities in
kinema, a naturally fermented soybean food of the Eastern Himalayan regions of India, Nepal and Bhutan were profiled by high-throughout sequence analysis. Firmicutes (78.4%) was the most abundant phylum in
kinema, followed by Proteobacteria (14.76%) and other phyla. Twenty seven species of Bacillus were detected, among which Bacillus subtilis (28.70%) was the most abundant bacterium, followed by B. licheniformis, B. thermoamylovorans, B. cereus, Ignatzschineria larvae, Corynebacterium casei, B. sonorensis, Proteus vulgaris, Brevibacillus borstelensis, Thermoactinomyces vulgaris, Lactobacillus fermentum and Ignatzschineria indica. Ascomycota was the most abundant fungal phylum in
kinema. Wallemia canadensis, Penicillium spp., Aspergillus spp., Exobasidium spp., Arthrocladium spp., Aspergillus penicillioides, Mortierella spp., Rhizopus arrhizus and Mucor circinelloides, were major moulds, and Pichia sporocuriosa, Trichosporon spp., Saccharomycopsis malanga and Rhodotorula cycloclastica were abundant yeasts in
kinema. We detected 277 species of bacteria among which, 99.09% were culturable and 0.91% were unculturable; and 80 fungal species among which, 33.72% were culturable and 66.28% were unculturable. Several unique bacterial genera to each country were observed, whereas no unique fungal genus was observed in
kinema. Maximum coverage of sequencing depth was observed in all samples. Based on PCA plot, close relation was observed between samples of India and Nepal, whereas samples of Bhutan was clearly distinctive. Predictive functional features of bacterial and fungi related to metabolisms were inferred by the KEGG Orthology and MetaCyc databases, respectively.