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宏基因组学用于发现污染物降解酶。

Metagenomics for the discovery of pollutant degrading enzymes.

机构信息

Université de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792 Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France.

出版信息

Biotechnol Adv. 2015 Dec;33(8):1845-54. doi: 10.1016/j.biotechadv.2015.10.009. Epub 2015 Oct 23.

Abstract

Organic pollutants, including xenobiotics, are often persistent and toxic organic compounds resulting from human activities and released in large amounts into terrestrial, fluvial and marine environments. However, some microbial species which are naturally exposed to these compounds in their own habitat are capable of degrading a large range of pollutants, especially poly-aromatic, halogenated and polyester molecules. These microbes constitute a huge reservoir of enzymes for the diagnosis of pollution and for bioremediation. Most are found in highly complex ecosystems like soils, activated sludge, compost or polluted water, and more than 99% have never been cultured. Meta-omic approaches are thus well suited to retrieve biocatalysts from these environmental samples. In this review, we report the latest advances in functional metagenomics aimed at the discovery of enzymes capable of acting on different kinds of polluting molecules.

摘要

有机污染物,包括外来化合物,通常是大量存在的、具有毒性的人工合成有机化合物,它们是人类活动的产物,被大量排放到陆地、河流和海洋环境中。然而,一些在其自身栖息地中自然接触到这些化合物的微生物物种能够降解多种污染物,特别是多环芳烃、卤代和聚酯分子。这些微生物构成了用于污染诊断和生物修复的大量酶的来源。大多数微生物存在于高度复杂的生态系统中,如土壤、活性污泥、堆肥或污染水,其中 99%以上从未被培养过。因此,元组学方法非常适合从这些环境样本中获取生物催化剂。在这篇综述中,我们报告了功能宏基因组学在发现能够作用于不同类型污染分子的酶方面的最新进展。

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