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Novel hydrogenases from deep-sea hydrothermal vent metagenomes identified by a recently developed activity-based screen

机译:最近开发的基于活动的筛选技术鉴定了来自深海热液喷口基因组的新型氢化酶

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摘要

Hydrogen is one of the most common elements on Earth. The enzymes converting molecular hydrogen into protons and electrons are the hydrogenases. Hydrogenases are ubiquitously distributed in all three domains of life where they play a central role in cell metabolism. So far, the recovery of hydrogenases has been restricted to culture-dependent and sequence-based approaches. We have recently developed the only activity-based screen for seeking H2-uptake enzymes from metagenomes without having to rely on enrichment and isolation of hydrogen-oxidizing microorganisms or prior metagenomic sequencing. When screening 14,400 fosmid clones from three hydrothermal vent metagenomes using this solely activity-based approach, four clones with H2-uptake activity were identified with specific activities of up to 258 ± 19 nmol H2/min/mg protein of partially purified membrane fractions. The respective metagenomic fragments exhibited mostly very low or no similarities to sequences in the public databases. A search with hidden Markov models for different hydrogenase groups showed no hits for three of the four metagenomic inserts, indicating that they do not encode for classical hydrogenases. Our activity-based screen serves as a powerful tool for the discovery of (novel) hydrogenases which would not have been identified by the currently available techniques. This screen can be ideally combined with culture- and sequence-based approaches to investigate the tremendous hydrogen-converting potential in the environment.
机译:氢是地球上最常见的元素之一。将分子氢转化为质子和电子的酶是氢化酶。氢酶普遍分布在生命的所有三个域中,它们在细胞代谢中起着核心作用。迄今为止,氢化酶的回收仅限于依赖于培养物和基于序列的方法。我们最近开发了唯一一种基于活动的筛选方法,无需依赖氢氧化微生物的富集和分离或先前的宏基因组测序即可从元基因组中寻找H2摄取酶。当使用这种仅基于活性的方法从三个热液喷口基因组中筛选14400个fosmid克隆时,鉴定出四个具有H2吸收活性的克隆,其比活度高达258±membrane19 nmol H2 / min / mg部分纯化的膜级分蛋白。各自的宏基因组片段与公共数据库中的序列表现出极低的相似性或没有相似性。使用隐藏的马尔可夫模型搜索不同氢化酶组的结果显示,四个宏基因组插入物中的三个未命中,表明它们不编码经典的氢化酶。我们基于活动的筛选是发现(新颖)氢酶的强大工具,而这些酶目前尚无法被发现。该屏幕可以理想地与基于培养和基于序列的方法结合使用,以研究环境中巨大的氢转化潜力。

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