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本文引用的文献

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A metagenomic approach to decipher the indigenous microbial communities of arsenic contaminated groundwater of Assam.一种宏基因组学方法用于解析阿萨姆邦砷污染地下水中的本土微生物群落。
Genom Data. 2017 Mar 30;12:89-96. doi: 10.1016/j.gdata.2017.03.013. eCollection 2017 Jun.
2
Bifidobacterial diversity in human feces detected by genus-specific PCR and denaturing gradient gel electrophoresis.通过属特异性聚合酶链反应和变性梯度凝胶电泳检测人类粪便中的双歧杆菌多样性。
Appl Environ Microbiol. 2001 Feb;67(2):504-13. doi: 10.1128/AEM.67.2.504-513.2001.

游离氰化物和硫氰酸盐降解细菌群落的宏基因组数据。

Metagenomic data of free cyanide and thiocyanate degrading bacterial communities.

作者信息

Mekuto Lukhanyo, Ntwampe Seteno K O, Mudumbi John B N, Akinpelu Enoch A, Mewa-Ngongang Maxwell

机构信息

Bioresource Engineering Research Group (BioERG), Department of Biotechnology, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000 South Africa.

出版信息

Data Brief. 2017 Jul 4;13:738-741. doi: 10.1016/j.dib.2017.06.049. eCollection 2017 Aug.

DOI:10.1016/j.dib.2017.06.049
PMID:28748209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5512189/
Abstract

The data presented in this article contains the bacterial community structure of the free cyanide (CN) and thiocyanate (SCN) degrading organisms that were isolated from electroplating wastewater and synthetic SCN containing wastewater. PCR amplification of the 16S rRNA V1-V3 regions was undertaken using the 27F and 518R oligonucleotide primers following the metacommunity DNA extraction procedure. The PCR amplicons were processed using the illumina® reaction kits as per manufacturer׳s instruction and sequenced using the illumina® MiSeq-2000, using the MiSeq V3 kit. The data was processed using bioinformatics tools such as QIIME and the raw sequence files are available via NCBI׳s Sequence Read Archive (SRA) database.

摘要

本文所呈现的数据包含从电镀废水和含硫氰酸盐的合成废水中分离出的游离氰化物（CN）和硫氰酸盐（SCN）降解微生物的细菌群落结构。在进行宏群落DNA提取后，使用27F和518R寡核苷酸引物对16S rRNA V1 - V3区域进行PCR扩增。PCR扩增产物按照制造商的说明使用illumina®反应试剂盒进行处理，并使用MiSeq V3试剂盒在illumina® MiSeq - 2000上进行测序。数据使用QIIME等生物信息学工具进行处理，原始序列文件可通过NCBI的序列读取存档（SRA）数据库获取。