| Literature DB >> 34103012 |
Colin Wood1, Jason Sahl1, Sara Maltinsky1, Briana Coyne1, Benjamin Russakoff1, David Panisello Yagüe1, Jolene Bowers2, Talima Pearson3.
Abstract
BACKGROUND: Molecular assays are important tools for pathogen detection but need to be periodically re-evaluated with the discovery of additional genetic diversity that may cause assays to exclude target taxa or include non-target taxa. A single well-developed assay can find broad application across research, clinical, and industrial settings. Pathogen prevalence within a population is estimated using such assays and accurate results are critical for formulating effective public health policies and guiding future research. A variety of assays for the detection of Staphylococcus aureus are currently available. The utility of commercial assays for research is limited, given proprietary signatures and lack of transparent validation.Entities:
Keywords: Detection of MRSA; Detection of S. aureus; Microbial detection; Microbial quantification; ViPrimePLUS; Xpert
Mesh:
Substances:
Year: 2021 PMID: 34103012 PMCID: PMC8188689 DOI: 10.1186/s12866-021-02247-6
Source DB: PubMed Journal: BMC Microbiol ISSN: 1471-2180 Impact factor: 3.605
In silico assessment of SaQuant and other S. aureus-specific assays
| SaQuant | 1738 | 1 | 95.60 | 99.95 | This one | AACTACTAGGGGAGCCTAATRAT | GGTACTAACCAAATCAGGTCATAA | TGGCTGAGATGAAYTGTTCAGACCC | 73 |
| 1 | 898 | 1 | 49.39 | 99.95 | [ | GGCATATGTATGGCAATTGTTTC | CGTATTGCCCTTTCGAAACATT | ATTACTTATAGGGATGGCTATC | 73 |
| 2 | 0 | 0 | 0 | 100 | [ | CAAAGCATCAAAAAGGTGTAGAGA | TTCAATTTTCTTTGCATTTTCTACCA | TTTTCGTAAATGCACTTGCTTCAGGACCA | Unknown |
| 3 | 753 | 6 | 41.42 | 99.67 | [ | CAGCAAACCATGCAGATGCTA | CGCTAATGATAATCCACCAAATACA | TCAAGCATTACCAGAAAC | 101 |
| 4 | 1780 | 11 | 97.91 | 99.40 | [ | AACTGTTGGCCACTATGAGT | CCAGCATTACCTGTAATCTCG | 306 | |
| 5 | 1499 | 0 | 82.45 | 100 | [ | GCGATTGATGGTGATACGGTT | AGCCAAGCCTTGACGAACTAAAGC | GGTGTAGAGAAATATGGTCCTGAAGCAAGTGCA | 279 |
| 6a | 1318 | 1 | 72.50 | 99.95 | [ | AATCTTTGTCGGTACACGATATTC | CGTAATGAGATTTCAGTAGATAATACAACA | 108 | |
| 7 | 117 | 0 | 6.44 | 100 | [ | AGTGAGCGACCATACAACAG | CATAATTCCCGTGACCATTT | AAGCACAAGGACCAATCGAGG | 185 |
| femB | 1010 | 0 | 55.56 | 100 | [ | TTACAGAGTTAACTGTTACC | ATACAAATCCAGCACGCTCT | 651 |
aModified sequence to exclude the last 3 nucleotides as the published sequence is not predicted to amplify any S. aureus genomes
In silico comparison of SaQuant to non - S. aureus genomes within the genus Staphylococcus
| 8 | 100 | |
| 5 | 100 | |
| 9 | 100 | |
| 22 | 100 | |
| 3 | 100 | |
| 16 | 100 | |
| 59 | 100 | |
| 9 | 100 | |
| 4 | 100 | |
| 13 | 100 | |
| 130 | 99 | |
| 2 | 100 | |
| 5 | 100 | |
| 5 | 100 | |
| 49 | 100 | |
| 3 | 100 | |
| 14 | 100 | |
| 4 | 100 | |
| 3 | 100 | |
| 23 | 100 | |
| 8 | 100 | |
| 50 | 100 | |
| 21 | 100 | |
| 44 | 100 | |
| 53 | 100 | |
| 17 | 100 | |
| 88 | 100 | |
| 113 | 100 | |
| 530 | 100 | |
| 13 | 100 | |
| 11 | 100 | |
| 48 | 100 | |
| 23 | 100 | |
| 57 | 100 | |
| 8 | 100 | |
| 5 | 100 | |
| 219 | 100 | |
| 6 | 100 | |
| 20 | 100 | |
| Othera | 114 | 100 |
aGenomes did not cluster with other members with the same species designation, suggesting an unreliable species designation
Species used for wet-bench testing of SaQuant specificity
| 1 | none | |
| 4 | none | |
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| 1 | none |