How microbes shape their communities? —— A dynamics model of microbial community based on functional genes
朱怀球
时长:29:39 分会场:2019中国肠道大会 - GPB期刊专场学术大会
Exploring the mechanisms of maintaining microbial community structure is important to understand biofilm development or microbiota dysbiosis. Herein we propose FCP model as the population structure composition prediction model based on functional genes information within a microbial community. With the FCP model, a dynamic computation can predict the community composition well in both a low-complexity community, such as acid mine drainage (AMD) microbiota, and a complex community, such as human gut microbiota. Furthermore, we define community structure shaping (CSS) genes as functional genes crucial for shaping the microbial community. We have identified CSS genes in AMD and human gut microbiota samples with FCP model and find that CSS genes change with the conditions. Compared to essential genes for microbes, CSS genes are significantly enriched in the genes involved in mobile genetic elements, cell motility, and defense mechanisms, indicating that the functions of CSS genes are focused on communication and strategies in response to the environment factors. We further find that it is the minority, rather than the majority, which contributes to maintaining community structure. Compared to health control samples, we find that some functional genes associated with metabolism of amino acids, nucleotides, and lipopolysaccharide are more likely to be CSS genes in the disease group. CSS genes may help us to understand critical cellular processes and be useful in seeking addable gene circuitries to maintain artificial self-sustainable communities. Our study suggests that functional genes are important to the assembly of microbial communities.
朱怀球
北京大学工学院生物医学工程系
教授、博士生导师,现任北京大学工学院副院长,兼任中国医药生物技术协会生物医学信息技术分会常务委员、中国生物工程学会计算生物学与生物信息学专业委员会委员、《北京生物医学工程》编委。目前主要研究领域为生物医学信息学和计算系统生物学,研究兴趣包括基于大数据的生物医学数据分析、高通量测序的基因组生物信息学方法和技术、环境与人体微生物组学、生物进化以及生物分子动力学分析等问题。近年来在微生物宏基因组学分析、人类基因组结构变异检测与疾病关联分析等方面的研究,完成了一系列原创性的工作。主持和合作承担国家自然科学基金重点项目和面上项目、国家科技部973计划和支撑计划、国家重点研发计划等各类国家级科研项目20多项。
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