用于将真菌中的次生代谢产物与生物合成基因簇相联系的新一代测序方法。
Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi.
作者信息
Cacho Ralph A, Tang Yi, Chooi Yit-Heng
机构信息
Chemical and Biomolecular Engineering Department, University of California Los Angeles, Los Angeles, CA, USA.
Chemical and Biomolecular Engineering Department, University of California Los Angeles, Los Angeles, CA, USA ; Chemistry and Biochemistry Department, University of California Los Angeles, Los Angeles, CA, USA.
出版信息
Front Microbiol. 2015 Jan 14;5:774. doi: 10.3389/fmicb.2014.00774. eCollection 2014.
Genomics has revolutionized the research on fungal secondary metabolite (SM) biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific SM compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies have further improved the speed and reduced the cost of microbial genome sequencing in the past few years, which has accelerated the research in this field. Here, we will present an example work flow for identifying the gene cluster encoding the biosynthesis of SMs of interest using an NGS approach. We will also review the different strategies that can be employed to pinpoint the targeted gene clusters rapidly by giving several examples stemming from our work.
基因组学彻底改变了真菌次级代谢产物（SM）生物合成的研究。为了阐明特定SM化合物生物合成背后的分子和酶促机制，重要的第一步通常是找到负责其合成的基因。真菌基因组序列的可获取性使得无需采用繁琐的传统文库构建和筛选方法。在过去几年中，下一代测序（NGS）技术的进步进一步提高了速度并降低了微生物基因组测序的成本，从而加速了该领域的研究。在此，我们将展示一个使用NGS方法鉴定编码目标SM生物合成基因簇的示例工作流程。我们还将通过给出一些来自我们工作的例子，回顾可用于快速确定目标基因簇的不同策略。
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