Suppr超能文献

利用Biolog平板对利雅得社区受污染土壤中的细菌菌株进行分析。

Analysis of the bacterial strains using Biolog plates in the contaminated soil from Riyadh community.

作者信息

Al-Dhabaan Fahad Abdullah M, Bakhali Ali Hassan

机构信息

Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.

出版信息

Saudi J Biol Sci. 2017 May;24(4):901-906. doi: 10.1016/j.sjbs.2016.01.043. Epub 2016 Feb 1.

Abstract

Routine manufacture, detonation and disposal of explosives in land and groundwater have resulted in complete pollution. Explosives are xenobiotic compounds, being toxic to biological systems, and their recalcitrance leads to persistence in the environment. The methods currently used for the remediation of explosive contaminated sites are expensive and can result in the formation of toxic products. The present study aimed to investigate the bacterial strains using the Biolog plates in the soil from the Riyadh community. The microbial strains were isolated using the spread plate technique and were identified using the Biolog method. In this study we have analyzed from bacterial families of soil samples, obtained from the different sites in 5 regions at Explosive Institute. Our results conclude that Biolog MicroPlates were developed for the rapid identification of bacterial isolates by sole-carbon source utilization and can be used for the identification of bacteria. Out of five communities, only four families of bacteria indicate that the microbial community lacks significant diversity in region one from the Riyadh community in Saudi Arabia. More studies are needed to be carried out in different regions to validate our results.

摘要

在陆地和地下水中常规制造、引爆和处置炸药已造成了全面污染。炸药是外源性化合物,对生物系统有毒,其难降解性导致其在环境中持续存在。目前用于修复炸药污染场地的方法成本高昂,且可能导致有毒产物的形成。本研究旨在利用Biolog平板对利雅得社区土壤中的细菌菌株进行调查。采用平板涂布技术分离微生物菌株,并使用Biolog方法进行鉴定。在本研究中,我们分析了从爆炸物研究所5个区域不同地点采集的土壤样本中的细菌科。我们的结果表明,Biolog微孔板是通过单一碳源利用来快速鉴定细菌分离株的,可用于细菌鉴定。在五个群落中,只有四个细菌科表明沙特阿拉伯利雅得社区第一区域的微生物群落缺乏显著的多样性。需要在不同区域开展更多研究以验证我们的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c67c/5415123/81a7d4b9090e/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验