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Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends

机译:通过宏基因组学评估酶生物勘探的成功:现状和未来趋势

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摘要

Recent reports have suggested that the establishment of industrially relevant enzyme collections from environmental genomes has become a routine procedure. Across the studies assessed, a mean number of approximately 44 active clones were obtained in an average size of approximately 53 000 clones tested using naie screening protocols. This number could be significantly increased in shorter times when novel metagenome enzyme sequences obtained by direct sequencing are selected and subjected to high-throughput expression for subsequent production and characterization. The pre-screening of clone libraries by naive screens followed by the pyrosequencing of the inserts allowed for a 106-fold increase in the success rate of identifying genes encoding enzymes of interest. However, a much longer time, usually on the order of years, is needed from the time of enzyme identification to the establishment of an industrial process. If the hit frequency for the identification of enzymes performing at high turnover rates under real application conditions could be increased while still covering a high natural diversity, the very expensive and time-consuming enzyme optimization phase would likely be significantly shortened. At this point, it is important to review the current knowledge about the success of fine-tuned naie-and sequence-based screening protocols for enzyme selection and to describe the environments worldwide that have already been subjected to enzyme screen programmes through metagenomic tools. Here, we provide such estimations and suggest the current challenges and future actions needed before environmental enzymes can be successfully introduced into the market.
机译:最近的报道表明,从环境基因组中建立与工业相关的酶集合已成为一种常规程序。在所有评估的研究中,使用naie筛选方案检测到的平均数量约为53 000个克隆,平均数量约为44个活性克隆。当选择通过直接测序获得的新的元基因组酶序列并进行高通量表达以用于随后的生产和表征时,该数目可在较短的时间内显着增加。通过天真​​的筛选对克隆文库进行预筛选,然后对插入片段进行焦磷酸测序,从而可以使识别编码目标酶的基因的成功率提高106倍。然而,从酶鉴定到建立工业过程,需要更长的时间,通常为数年。如果可以增加在实际应用条件下鉴定高周转率酶的命中频率,同时仍能覆盖很高的自然多样性,那么很可能会大大缩短非常昂贵和耗时的酶优化阶段。在这一点上,重要的是回顾有关微调基于naie和序列的筛选协议成功进行酶选择的当前知识,并描述全世界已经通过宏基因组学工具进行酶筛选程序的环境。在这里,我们提供了这样的估计,并提出了将环境酶成功引入市场之前的当前挑战和未来需要采取的行动。

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