Rapid Specific Detection and Quantification of Bacteria and Archaea Involved in Mineral Sulfide Bioleaching Using Real-time Pcr.
From: CSIRO Molecular and Health Technologies PO Box 184, North Ryde NSW 1670, Australia.
Biotechnology and bioengineering
- Publish Date: Jun 2006
- ISSN: 0006-3592
- Volume: 94
- Issue: 2
- Pages: 330-6
- Medium: Print
- Language: English
- Citation (JAMA): Liu Chun-Qiang, Plumb Jason, Hendry Philip, et al. Rapid Specific Detection and Quantification of Bacteria and Archaea Involved in Mineral Sulfide Bioleaching Using Real-time Pcr.. Biotechnol. Bioeng. Jun 2006;94:330-6
Abstract
A SybrGreen real-time PCR assay was developed to detect and quantify both total and selected 16S rDNA species of bacteria and archaea involved in the bioleaching of metals from sulfide ores. A set of specific and universal primers based on 16S rDNA sequences was designed and validated for specific detection and quantification of DNA isolated from representative strains of Acidianus brierleyi, Sulfolobus sp., Sulfobacillus thermosulfidooxidans, Sulfobacillus acidophilus, Acidithiobacillus caldus, and Leptospirillum ferrooxidans. An artificial sequence based on 16S rDNA was constructed to quantify total 16S rDNA in mixed DNA samples. The real-time PCR assay was further validated using a mixture of 16S rDNA amplicons derived from the six different species, each added at a known amount. Finally, the real-time PCR assay was used to monitor the change of 16S rDNA copies of four bioleaching strains inoculated into chalcopyrite airlift column reactors operated at different temperatures. The growth dynamics of these strains correlated well with the expected effects of temperature in the chalcopyrite-leaching environment. The suitability of this method for monitoring microbial populations in industrial bioleaching environments is discussed.
Mesh Headings (Keywords): Archaea, Bacteria, Colony Count, Microbial, DNA, Bacterial, Minerals, Polymerase Chain Reaction, RNA, Ribosomal, 16S, Reproducibility of Results, Sulfides
Check for Full Text / PubMed Unique Identifier (PMID): 16508994
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.