Wang Shilei, Xiong Wu, Wang Yuqiao, Nie Yao, Wu Qun, Xu Yan, Geisen Stefan
State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China.
Department of Biology, Utrecht University, Utrecht, The Netherlands.
mSystems. 2020 Jul 21;5(4):e00555-20. doi: 10.1128/mSystems.00555-20.
We are rapidly increasing our understanding on the spatial distribution of microbial communities. However, microbial functioning, as well as temporal differences and mechanisms causing microbial community shifts, remains comparably little explored. Here, using Chinese liquor fermentation as a model system containing a low microbial diversity, we studied temporal changes in microbial community structure and functioning. For that, we used high-throughput sequencing to analyze the composition of bacteria and fungi and analyzed the microbially derived metabolome throughout the fermentation process in all four seasons in both 2018 and 2019. We show that microbial communities and the metabolome changed throughout the fermentation process in each of the four seasons, with metabolome diversity increasing throughout the fermentation process. Across seasons, bacterial and fungal communities as well as the metabolome driven by 10 indicator microorganisms and six metabolites varied even more. Daily average temperature in the external surroundings was the primary determinant of the observed temporal microbial community and metabolome changes. Collectively, our work reveals critical insights into patterns and processes determining temporal changes of microbial community composition and functioning. We highlight the importance of linking taxonomic to functional changes in microbial ecology to enable predictions of human-relevant applications. We used Chinese liquor fermentation as a model system to show that microbiome composition changes more dramatically across seasons than throughout the fermentation process within seasons. These changes translate to differences in the metabolome as the ultimate functional outcome of microbial activity, suggesting that temporal changes in microbiome composition are translating into functional changes. This result is striking as it suggests that microbial functioning, despite controlled conditions in the fermentors, fluctuates over season along with external temperature differences, which threatens a reproducible food taste. As such, we believe that our study provides a stepping-stone into novel taxonomy-functional studies that promote future work in other systems and that also is relevant in applied settings to better control surrounding conditions in food production.
我们对微生物群落空间分布的理解正在迅速增加。然而,微生物功能以及导致微生物群落变化的时间差异和机制,仍相对较少被探索。在此,我们以微生物多样性较低的中国白酒发酵为模型系统,研究了微生物群落结构和功能的时间变化。为此,我们使用高通量测序分析细菌和真菌的组成,并在2018年和2019年的四个季节中,对整个发酵过程中微生物衍生的代谢组进行了分析。我们发现,在四个季节中的每个季节,微生物群落和代谢组在整个发酵过程中都发生了变化,代谢组多样性在整个发酵过程中不断增加。跨季节来看,细菌和真菌群落以及由10种指示微生物和6种代谢物驱动的代谢组变化更大。外部环境的日平均温度是观察到的微生物群落和代谢组时间变化的主要决定因素。总体而言,我们的工作揭示了决定微生物群落组成和功能时间变化的模式和过程的关键见解。我们强调了在微生物生态学中将分类学变化与功能变化联系起来以实现对与人类相关应用进行预测的重要性。我们以中国白酒发酵为模型系统表明,微生物组组成在不同季节间的变化比在季节内整个发酵过程中的变化更为显著。这些变化转化为代谢组的差异,而代谢组差异是微生物活动的最终功能结果,这表明微生物组组成的时间变化正在转化为功能变化。这一结果令人惊讶,因为它表明尽管发酵罐中的条件受到控制,但微生物功能仍会随着季节与外部温度差异而波动,这对可重现的食品风味构成了威胁。因此,我们相信我们的研究为新型分类学-功能研究提供了一个跳板,有助于推动其他系统的未来研究,并且在应用环境中也具有相关性,以便更好地控制食品生产中的周围条件。