Transport and utilization of glycogen breakdown products by <i>Gardnerella</i> spp. from the human vaginal microbiome
Bibliographic record
Abstract
Abstract Multiple Gardnerella species frequently co-occur in vaginal microbiomes, and several factors including competition for nutrients such as glycogen could determine their population structure. Although Gardnerella spp. can hydrolyze glycogen to produce glucose, maltose, maltotriose and maltotetraose, how these sugars are transported and utilized for growth is unknown. We determined the distribution of genes encoding transporter proteins associated with the uptake of glucose, maltose, and malto-oligosaccharides and maltodextrins among Gardnerella species. A total of five different ABC transporters were identified in Gardnerella spp. of which MusEFGK 2 I and MalXFGK were conserved across all 15 Gardnerella isolates. RafEFGK and TMSP (trehalose, maltose, sucrose and palatinose) operons were specific to G. vaginalis while the MalEFG transporter was identified in G. leopoldii only. Although no glucose specific sugar-symporters were identified, putative ‘glucose/galactose porters’ and components of a phosphotransferase system were identified. In laboratory experiments, all Gardnerella isolates grew more in the presence of glucose, maltose, maltotriose and maltotetraose compared to un-supplemented media. In addition, most isolates (10/15) showed significantly more growth on maltotetraose compared to glucose (Kruskal Wallis, P < 0.05) suggesting their preference for longer chain malto-oligosaccharides. Our findings show that although putative MusEFGK 2 I and MalXFGK transporters are found in all Gardnerella spp., some species-specific transporters are also present. Observed distribution of genes encoding transporter systems was consistent with laboratory observations that Gardnerella spp. grow better on longer chain malto-oligosaccharides. Importance Increased abundance of Gardnerella spp. is a diagnostic characteristic of bacterial vaginosis, an imbalance in the human vaginal microbiome associated with troubling symptoms and negative reproductive health outcomes, including increased transmission of sexually transmitted infections and preterm birth. Competition for nutrients is likely an important factor in causing dramatic shifts in the vaginal microbial community. Gardnerella produces enzymes to digest glycogen, an important nutrient source for vaginal bacteria, but little is known about the mechanisms in Gardnerella for uptake of the products of this digestion, or whether Gardnerella use some or all of the products. Our results indicate that Gardnerella may have evolved to preferentially use a subset of the glycogen breakdown products, which would help them reduce direct competition with some other bacteria in the vagina.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".