Suppr超能文献

技术规模生物催化剂生物膜群落中汞还原酶(mer A)基因的功能分析

Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer.

作者信息

Felske Andreas D M, Fehr Wanda, Pauling Björg V, von Canstein Harald, Wagner-Döbler Irene

机构信息

GBF (German Research Center for Biotechnology), Division of Microbiology, Mascheroder Weg 1, D-38124 Braunschweig, Germany.

出版信息

BMC Microbiol. 2003 Oct 27;3:22. doi: 10.1186/1471-2180-3-22.

Abstract

BACKGROUND

Bacterial mercury resistance is based on enzymatic reduction of ionic mercury to elemental mercury and has recently been demonstrated to be applicable for industrial wastewater clean-up. The long-term monitoring of such biocatalyser systems requires a cultivation independent functional community profiling method targeting the key enzyme of the process, the merA gene coding for the mercuric reductase. We report on the development of a profiling method for merA and its application to monitor changes in the functional diversity of the biofilm community of a technical scale biocatalyzer over 8 months of on-site operation.

RESULTS

Based on an alignment of 30 merA sequences from Gram negative bacteria, conserved primers were designed for amplification of merA fragments with an optimized PCR protocol. The resulting amplicons of approximately 280 bp were separated by thermogradient gelelectrophoresis (TGGE), resulting in strain specific fingerprints for mercury resistant Gram negative isolates with different merA sequences. The merA profiling of the biofilm community from a technical biocatalyzer showed persistence of some and loss of other inoculum strains as well as the appearance of new bands, resulting in an overall increase of the functional diversity of the biofilm community. One predominant new band of the merA community profile was also detected in a biocatalyzer effluent isolate, which was identified as Pseudomonas aeruginosa. The isolated strain showed lower mercury reduction rates in liquid culture than the inoculum strains but was apparently highly competitive in the biofilm environment of the biocatalyzer where moderate mercury levels were prevailing.

CONCLUSIONS

The merA profiling technique allowed to monitor the ongoing selection for better adapted strains during the operation of a biocatalyzer and to direct their subsequent isolation. In such a way, a predominant mercury reducing Ps. aeruginosa strain was identified by its unique mercuric reductase gene.

摘要

背景

细菌对汞的抗性基于将离子汞酶促还原为元素汞,最近已证明其可用于工业废水净化。对这种生物催化系统的长期监测需要一种不依赖培养的功能群落分析方法,该方法针对该过程的关键酶——编码汞还原酶的merA基因。我们报告了一种针对merA的分析方法的开发及其在监测工业规模生物催化器生物膜群落功能多样性在8个月现场运行期间变化的应用。

结果

基于对30个革兰氏阴性菌merA序列的比对,设计了保守引物,采用优化的PCR方案扩增merA片段。通过热梯度凝胶电泳(TGGE)分离得到的约280 bp扩增子,得到具有不同merA序列的抗汞革兰氏阴性分离株的菌株特异性指纹图谱。对工业生物催化器生物膜群落的merA分析表明,一些接种菌株持续存在,另一些则消失,同时出现了新条带,导致生物膜群落功能多样性总体增加。在生物催化器流出物分离株中也检测到merA群落图谱中的一条主要新条带,该分离株被鉴定为铜绿假单胞菌。分离菌株在液体培养中的汞还原率低于接种菌株,但在汞含量适中的生物催化器生物膜环境中显然具有很强的竞争力。

结论

merA分析技术能够监测生物催化器运行过程中对适应性更强菌株的持续选择,并指导后续分离。通过这种方式,通过其独特的汞还原酶基因鉴定出一种主要的汞还原铜绿假单胞菌菌株。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bc9/270059/fd3f9205c47c/1471-2180-3-22-1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验