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一种用于从宏基因组文库中生物挖掘纤维素酶活性的高通量筛选方法。

A high throughput screen for biomining cellulase activity from metagenomic libraries.

作者信息

Mewis Keith, Taupp Marcus, Hallam Steven J

机构信息

Microbiology and Immunology, University of British Columbia - UBC.

出版信息

J Vis Exp. 2011 Feb 1(48):2461. doi: 10.3791/2461.

Abstract

Cellulose, the most abundant source of organic carbon on the planet, has wide-ranging industrial applications with increasing emphasis on biofuel production (1). Chemical methods to modify or degrade cellulose typically require strong acids and high temperatures. As such, enzymatic methods have become prominent in the bioconversion process. While the identification of active cellulases from bacterial and fungal isolates has been somewhat effective, the vast majority of microbes in nature resist laboratory cultivation. Environmental genomic, also known as metagenomic, screening approaches have great promise in bridging the cultivation gap in the search for novel bioconversion enzymes. Metagenomic screening approaches have successfully recovered novel cellulases from environments as varied as soils (2), buffalo rumen (3) and the termite hind-gut (4) using carboxymethylcellulose (CMC) agar plates stained with congo red dye (based on the method of Teather and Wood (5)). However, the CMC method is limited in throughput, is not quantitative and manifests a low signal to noise ratio (6). Other methods have been reported (7,8) but each use an agar plate-based assay, which is undesirable for high-throughput screening of large insert genomic libraries. Here we present a solution-based screen for cellulase activity using a chromogenic dinitrophenol (DNP)-cellobioside substrate (9). Our library was cloned into the pCC1 copy control fosmid to increase assay sensitivity through copy number induction (10). The method uses one-pot chemistry in 384-well microplates with the final readout provided as an absorbance measurement. This readout is quantitative, sensitive and automated with a throughput of up to 100X 384-well plates per day using a liquid handler and plate reader with attached stacking system.

摘要

纤维素是地球上最丰富的有机碳源,在工业上有广泛应用,且对生物燃料生产的重视程度日益增加(1)。化学方法修饰或降解纤维素通常需要强酸和高温。因此,酶法在生物转化过程中变得十分突出。虽然从细菌和真菌分离物中鉴定活性纤维素酶已取得一定成效,但自然界中的绝大多数微生物难以在实验室培养。环境基因组学,也称为宏基因组学,筛选方法在弥合寻找新型生物转化酶的培养差距方面具有巨大潜力。宏基因组筛选方法已成功地使用刚果红染料染色的羧甲基纤维素(CMC)琼脂平板(基于Teather和Wood的方法(5))从土壤(2)、水牛瘤胃(3)和白蚁后肠(4)等不同环境中获得新型纤维素酶。然而,CMC方法通量有限、不具有定量性且信噪比低(6)。已报道了其他方法(7,8),但每种方法都使用基于琼脂平板的检测,这对于大插入片段基因组文库的高通量筛选是不可取的。在此,我们提出一种基于溶液的纤维素酶活性筛选方法,使用显色二硝基苯酚(DNP)-纤维二糖底物(9)。我们的文库被克隆到pCC1复制控制fosmid中,通过拷贝数诱导提高检测灵敏度(10)。该方法在384孔微孔板中采用一锅法化学,最终读数以吸光度测量值给出。该读数具有定量性、灵敏性且可自动化,使用液体处理仪和带有堆叠系统的酶标仪,每天通量高达100×384孔板。

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