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影响工业菌株技术性能的数量性状核苷酸

Quantitative Trait Nucleotides Impacting the Technological Performances of Industrial Strains.

作者信息

Peltier Emilien, Friedrich Anne, Schacherer Joseph, Marullo Philippe

机构信息

Department Sciences du vivant et de la sante, Université de Bordeaux, UR Œnologie EA 4577, Bordeaux, France.

Biolaffort, Bordeaux, France.

出版信息

Front Genet. 2019 Jul 23;10:683. doi: 10.3389/fgene.2019.00683. eCollection 2019.

Abstract

The budding yeast is certainly the prime industrial microorganism and is related to many biotechnological applications including food fermentations, biofuel production, green chemistry, and drug production. A noteworthy characteristic of this species is the existence of subgroups well adapted to specific processes with some individuals showing optimal technological traits. In the last 20 years, many studies have established a link between quantitative traits and single-nucleotide polymorphisms found in hundreds of genes. These natural variations constitute a pool of QTNs (quantitative trait nucleotides) that modulate yeast traits of economic interest for industry. By selecting a subset of genes functionally validated, a total of 284 QTNs were inventoried. Their distribution across pan and core genome and their frequency within the 1,011 genomes were analyzed. We found that 150 of the 284 QTNs have a frequency lower than 5%, meaning that these variants would be undetectable by genome-wide association studies (GWAS). This analysis also suggests that most of the functional variants are private to a subpopulation, possibly due to their adaptive role to specific industrial environment. In this review, we provide a literature survey of their phenotypic impact and discuss the opportunities and the limits of their use for industrial strain selection.

摘要

出芽酵母无疑是主要的工业微生物,与许多生物技术应用相关,包括食品发酵、生物燃料生产、绿色化学和药物生产。该物种的一个显著特征是存在一些亚群,这些亚群非常适合特定的过程,其中一些个体表现出最佳的工艺特性。在过去20年中,许多研究已经在数百个基因中发现的数量性状与单核苷酸多态性之间建立了联系。这些自然变异构成了一个QTN(数量性状核苷酸)库,可调节对工业具有经济意义的酵母性状。通过选择一组经过功能验证的基因,总共列出了284个QTN。分析了它们在泛基因组和核心基因组中的分布以及它们在1011个基因组中的频率。我们发现,284个QTN中有150个的频率低于5%,这意味着这些变异在全基因组关联研究(GWAS)中无法检测到。该分析还表明,大多数功能变异是亚群特有的,这可能是由于它们对特定工业环境的适应性作用。在这篇综述中,我们提供了关于它们表型影响的文献综述,并讨论了它们在工业菌株选择中的应用机会和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e78/6664092/4d81f101d08e/fgene-10-00683-g001.jpg

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