微生物组学、宏基因组学和代谢组学研讨会

S. Hassoun, C. Huttenhower
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引用次数: 0

摘要

微生物群是自然界中发现的微生物生态群落。在人类和动物体内,微生物群落可以存在于体内或体表,与宿主存在共生或互惠关系,影响宿主的生理功能,在宿主的发育过程中发挥关键作用。这些微生物群落可能非常复杂。一个这样的例子是肠道微生物群,包括数百种与群落中的其他微生物及其宿主相互作用的物种。最近的研究表明,微生物群影响广泛的生理过程,包括消化、免疫系统的发育和炎症。此外,肠道微生物群组成的显著变化已被证明与几种疾病相关,包括肥胖、糖尿病、癌症、哮喘,甚至自闭症谱系障碍。描述微生物群并了解其与健康和疾病的关系将显著改善人类健康。微生物群特征的研究很大程度上得益于DNA测序技术的进步。特别是,低成本的培养独立测序使得微生物群落的宏基因组和亚转录组学调查变得可行,包括与人体、其他宿主和环境相关的细菌、古生菌、病毒和真菌。由此产生的数据刺激了许多新的元基因组序列分析计算方法的发展,包括元基因组组装、微生物鉴定、基因、转录和途径代谢分析。此外,非靶向代谢组学的最新进展刺激了许多工具的发展,这些工具可以增强微生物群落的功能谱。通过特邀演讲,本次研讨会将重点介绍宏基因组学和代谢组学计算方法的最新进展,以及目前面临的紧迫挑战。动手教程将提供计算宏基因组学的介绍。这次研讨会很及时,将扩大会议的范围,涵盖这些紧迫的重要议题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Workshop on Microbiomics, Metagenomics, and Metabolomics
Microbiota are ecological communities of microorganisms found throughout nature. In humans and animals, microbiota communities can reside on or within the body, and exist in a commensal or mutualistic relationship with their host to impact physiological functions and play critical roles in the host's development. These microbial communities can be very complex. One such example is the intestinal microbiota, comprising hundreds of species that interact with other microorganisms in the community as well as their host. Recent studies have demonstrated that microbiota impacts a wide range of physiological processes, including digestion, development of the immune system, and inflammation. Further, significant alterations in the intestinal microbiota composition has shown to correlate with several diseases, including obesity diabetes, cancer, asthma, and even autism spectrum disorder. Characterizing the microbiota and understanding its relation to health and disease stand to significantly improve human health. Efforts to characterize microbiota have greatly benefited from technical advances in DNA sequencing. In particular, low-cost culture-independent sequencing has made metagenomic and metatranscriptomic surveys of microbial communities practical, including bacteria, archaea, viruses, and fungi associated with the human body, other hosts, and the environment. The resulting data have stimulated the development of many new computational approaches to meta'omic sequence analysis, including metagenomic assembly, microbial identification, and gene, transcript, and pathway metabolic profiling. Further, recent advances in untargeted metabolomics have stimulated the development of many tools that enhance the functional profiling of microbial communities. Through invited talks, this workshop will highlight recent advances computational methods for metagenomics and metabolomics, and present pressing challenges. A hands-on tutorial will provide an introduction to computational metagenomics. This workshop is timely, and will broaden the scope of the conference to cover such pressing important topics.
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