The Mode of Biofilm Formation on Smooth Surfaces by Campylobacter jejuni
Bibliographic record
Abstract
Many microorganisms produce extracellular polymers referred to collectively as "slime" or glycocalyx, and form biofilms on solid surfaces in natural ecosystems. Campylobacter jejuni, one of the most important foodborne pathogens, also has the ability to form biofilm on stainless steel, glass, or polyvinyl chloride in vitro. However, the issue of biofilm formation by Campylobacter species has not been extensively examined. The present study was performed to examine the mode of adhesion of C. jejuni to a smooth surface. When bacterial suspensions in Brucella broth were incubated in microplate wells with a glass coverslip, microcolonies 0.5~2 mm in diameter were formed on the coverslip within 2 hr from the start of incubation. These microcolonies gradually grew and formed a biofilm of net-like connections within 6 hr. Transmission electron microscopy indicated that massive amounts of extracellular material masked the cell surface, and this material bound ruthenium red, suggesting the presence of a polysaccharide moiety. Scanning electron microscopy indicated that the flagella acted as bridges, forming net-like connections between the organisms. To determine the genes associated with biofilm formation, aflagellate (flaA(-)) and flagellate but non-motile (motA(-)) mutants were constructed from strain 81-176 by natural transformation-mediated allelic exchange. The flaA(-) and motA(-) mutants did not form the biofilm exhibited by the wild-type strain. These findings suggest that flagella-mediated motility as well as flagella is required for biofilm formation in vitro.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".