Analysis of the Cultured Microbiome of Fertilization-Stage Maize Silks (Styles) Reveals Taxonomic Relationships Across North American Maize Genotypes and Heterotic Groups
Bibliographic record
Abstract
The style is the female reproductive channel in flowers, receiving pollen and transmitting male gametes through elongating pollen tubes to the ovules during fertilization. In maize/corn, the styles are known as silks. Fertilization-stage silks contain diverse bacteria, possibly originating from pollen. Bacteria were cultured and individually sequenced from the tip and base portions of healthy, fertilization-stage silks of 14 North American maize genotypes, resulting in 350 isolates, spanning 48 genera and 221 OTUs. The objective of this study was to taxonomically analyze these bacteria in the context of the maize host tissue and genotype, taking advantage of long-read (V1–V9) 16S Sanger sequencing. The results suggest that the maize genotype and heterotic breeding group may impact the bacterial diversity of healthy, fertilization-stage silks. Some taxa were relatively conserved across maize genotypes and silk tip/base locations, including Pantoea, which may represent part of the core microbiome or form stable, symbiotic relationships with healthy, pollinated silks. We also observed similarities between the silk microbiomes of maize genotypes that were related by plant pedigree; these preliminary results suggest inheritance or the ability of related genotypes to recruit common bacterial taxa. Overall, this study demonstrates that healthy maize silks represent a valuable resource for learning about relationships between plant reproductive microbiomes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".