Investigation of expression of genes encoding glycogen degrading enzymes in <i>Gardnerella swidsinskii</i> and identification of reference genes for quantitative real-time PCR
Bibliographic record
Abstract
Abstract Gardnerella spp. express and export enzymes for the breakdown of glycogen into glucose, maltose, and malto-oligosaccharides for consumption by the vaginal microbiota but how the expression of these “public goods” is affected by substrate and product levels in the environment is not known. Accurate measurement of relative gene expression using real-time quantitative PCR relies on the identification of appropriate reference genes whose expression levels remain constant under the conditions of the study. Currently, no reference genes have been identified for gene expression analysis of Gardnerella spp. The objectives of this study were to identify reference genes and apply them in determining the relative gene expression levels of genes encoding α-amylase and α-amylase-pullulanase in media supplemented with substrate (glycogen) or a preferred product (maltotriose). Ten candidate reference genes were evaluated and analysis of Cq values from qPCR using multiple algorithms identified uppS (encoding polyprenyl diphosphate synthase) as the top comprehensively ranked reference gene followed by gatA (encoding Asp-tRNA/Glu-tRNA amidotransferase subunit gatA). Interpretation of the Cq values for α-amylase and α-amylase-pullulanase was performed by applying these two reference genes in the calculation of relative gene expression levels. α-amylase-pullulanase gene expression was upregulated in media supplemented with 1% glycogen in comparison to media supplemented with 1% maltotriose suggesting a regulatory mechanism in G. swidsinskii that responds to nutrient availability. No significant difference in gene expression of α-amylase was observed suggesting expression is not influenced by substrate availability. The RNA purification protocol and reference genes validated in this study will be useful in future studies of gene expression in Gardnerella . Importance Knowledge of the factors affecting growth of vaginal microbiota is critical to understanding how vaginal dysbiosis is initiated and maintained. Overgrowth of Gardnerella species including G. swidsinskii is a hallmark of bacterial vaginosis. These organisms break down vaginal glycogen and the products become available for uptake by Gardnerella and other microbiota. Measuring how expression of genes encoding glycogen degrading enzymes relates to relative abundance of substrate and products in the environment requires development of protocols for RNA purification and identification of reference genes for RT-qPCR.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".