Suppr超能文献

功能宏基因组学的当前及未来资源

Current and future resources for functional metagenomics.

作者信息

Lam Kathy N, Cheng Jiujun, Engel Katja, Neufeld Josh D, Charles Trevor C

机构信息

Department of Biology, University of Waterloo Waterloo, ON, Canada.

出版信息

Front Microbiol. 2015 Oct 29;6:1196. doi: 10.3389/fmicb.2015.01196. eCollection 2015.

Abstract

Functional metagenomics is a powerful experimental approach for studying gene function, starting from the extracted DNA of mixed microbial populations. A functional approach relies on the construction and screening of metagenomic libraries-physical libraries that contain DNA cloned from environmental metagenomes. The information obtained from functional metagenomics can help in future annotations of gene function and serve as a complement to sequence-based metagenomics. In this Perspective, we begin by summarizing the technical challenges of constructing metagenomic libraries and emphasize their value as resources. We then discuss libraries constructed using the popular cloning vector, pCC1FOS, and highlight the strengths and shortcomings of this system, alongside possible strategies to maximize existing pCC1FOS-based libraries by screening in diverse hosts. Finally, we discuss the known bias of libraries constructed from human gut and marine water samples, present results that suggest bias may also occur for soil libraries, and consider factors that bias metagenomic libraries in general. We anticipate that discussion of current resources and limitations will advance tools and technologies for functional metagenomics research.

摘要

功能宏基因组学是一种从混合微生物群体提取的DNA出发来研究基因功能的强大实验方法。功能方法依赖于宏基因组文库的构建和筛选,宏基因组文库是包含从环境宏基因组克隆的DNA的物理文库。从功能宏基因组学获得的信息有助于未来对基因功能的注释,并作为基于序列的宏基因组学的补充。在这篇观点文章中,我们首先总结构建宏基因组文库的技术挑战,并强调它们作为资源的价值。然后我们讨论使用流行的克隆载体pCC1FOS构建的文库,突出该系统的优点和缺点,以及通过在不同宿主中筛选来最大化现有基于pCC1FOS的文库的可能策略。最后,我们讨论从人类肠道和海水样本构建的文库中已知的偏差,展示表明土壤文库也可能出现偏差的结果,并考虑一般情况下使宏基因组文库产生偏差的因素。我们预计对当前资源和局限性的讨论将推动功能宏基因组学研究的工具和技术发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/4625089/a69f3e9e7ccf/fmicb-06-01196-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验