Bibliographic Details
| Title: |
Comparative Methods for Quantification of Sulfate-Reducing Bacteria in Environmental and Engineered Sludge Samples |
| Authors: |
Aracely Zambrano-Romero, Dario X. Ramirez-Villacis, Noelia Barriga-Medina, Reyes Sierra-Alvarez, Gabriel Trueba, Valeria Ochoa-Herrera, Antonio Leon-Reyes |
| Source: |
Biology, Vol 12, Iss 7, p 985 (2023) |
| Publisher Information: |
MDPI AG, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Biology (General) |
| Subject Terms: |
sulfate-reducing bacteria, sludge, culture, counts, qPCR, enumeration, Biology (General), QH301-705.5 |
| More Details: |
This study aimed to compare microscopic counting, culture, and quantitative or real-time PCR (qPCR) to quantify sulfate-reducing bacteria in environmental and engineered sludge samples. Four sets of primers that amplified the dsrA and apsA gene encoding the two key enzymes of the sulfate-reduction pathway were initially tested. qPCR standard curves were constructed using genomic DNA from an SRB suspension and dilutions of an enriched sulfate-reducing sludge. According to specificity and reproducibility, the DSR1F/RH3-dsr-R primer set ensured a good quantification based on dsrA gene amplification; however, it exhibited inconsistencies at low and high levels of SRB concentrations in environmental and sulfate-reducing sludge samples. Ultimately, we conducted a qPCR method normalized to dsrA gene copies, using a synthetic double-stranded DNA fragment as a calibrator. This method fulfilled all validation criteria and proved to be specific, accurate, and precise. The enumeration of metabolically active SRB populations through culture methods differed from dsrA gene copies but showed a plausible positive correlation. Conversely, microscopic counting had limitations due to distinguishing densely clustered organisms, impacting precision. Hence, this study proves that a qPCR-based method optimized with dsrA gene copies as a calibrator is a sensitive molecular tool for the absolute enumeration of SRB populations in engineered and environmental sludge samples. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2079-7737 |
| Relation: |
https://www.mdpi.com/2079-7737/12/7/985; https://doaj.org/toc/2079-7737 |
| DOI: |
10.3390/biology12070985 |
| Access URL: |
https://doaj.org/article/729728aef0ae45689f6a626ddd20ec49 |
| Accession Number: |
edsdoj.729728aef0ae45689f6a626ddd20ec49 |
| Database: |
Directory of Open Access Journals |
