基于宏基因组学的降解海藻浒苔微生物群落结构与功能研究

项目名称： 基于宏基因组学的降解海藻浒苔微生物群落结构与功能研究

项目编号： No.41306181

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 赵超

作者单位： 福建农林大学

项目金额： 25万元

中文摘要： 浒苔（Enteromorpha prolifera），属绿藻门石莼科，其糖类及粗纤维含量丰富，作为潜在的生物质资源，在生物质能、食品、医药等众多领域中具有重要用途和应用价值。本项目以前期研究获得的海藻浒苔降解菌群D2-1为材料，应用宏基因组高通量测序技术，获得海藻浒苔降解菌群D2-1的宏基因组序列，采用EGTs序列分析及Contig序列组装和基因组功能注释分析，全面解析菌群D2-1微生物群落结构及代谢途径，揭示菌间相互协作关系；获得结构蛋白氨基酸序列信息和降解关键功能基因，并克隆表达关键功能基因，分析酶的性质。这是迄今对海藻浒苔降解菌群结构及其功能方面一个较为深入的研究。研究结果有助于了解海藻浒苔降解过程中功能基因及其作用机理，为构建能发酵海藻浒苔生产生物燃料的工程菌，或能生产高活性关键酶的工程菌，提供理论依据和技术支撑。同时为解决海藻浒苔引起的海洋生态问题提供新途径。

中文关键词： 绿藻浒苔；宏基因组学；微生物群落结构；功能基因；蛋白质组学

英文摘要： Enteromorpha prolifera (EP), a green alga in the division Chlorophyta, is well known for its high contents of carbohydrate and crude fibers. As a potential biomass material, EP has important uses and practical values in the biomass energy, food and medicinal industry. In this study, an EP-degrading bacterial consortium D2-1, which obtained from offshore mangrove environment, was isolated. Metagenome of consortium D2-1 will be sequenced by the high-throughput sequencing technology, and then the microbial community structure and metabolic pathway would be analysed with the results of EGTs database and Contig assembly DNA sequencing and gene annotation and functional classification in its entirety. The relationships among strains will be also studied. At the same time, the key functional genes would be obtained and heterologously expressed in E. coli. Furthermore, the recombinant enzymes are purified and characterized. According to our knowledge, this is a more in-depth research on microbial community structure and function of EP-degrading consortium. These results would be conducive to explain the mechanism of functional genes for degradation and provide theoretical foundation and technical support for construction of genetic engineering biofuel-producing bacteria or engineering bacteria of key enzymes. It can als

英文关键词： Green macroalgae Enteromorpha prolifera；Metagenomics；Microbial community structure；Functional genes；Proteomics