Comparison of Bacterial Endophytes in Barley Grains Infected and Non‐Infected With Fusarium Head Blight Using Metabarcoding
Bibliographic record
Abstract
ABSTRACT Endophytes are organisms that maintain an intimate relationship with the plant host as they are adapted to the niche of internal plant tissues and are mutually beneficial in these interactions. Plant diseases can potentially alter the endophytic community structure, negatively affecting plant development and defence mechanisms. Fusarium head blight (FHB) is a complex and devastating barley disease that could induce such changes. Investigating the structure of the bacterial endophytic community of barley grains with FHB may provide valuable information about the disease development, the resistance of the plant to FHB and the impact of endophytes on pathogen(s) development. We sequenced amplicons of the 16S rRNA gene from barley grains and compared the endophytic bacterial profiles under Fusarium graminearum‐ infected and disease‐free conditions. In addition, we tested microbiome responses to barley genotype (moderately resistant, intermediate or susceptible toward FHB), plant growth stage (mid‐dough stage vs. physiological maturity stage) and year (years 2021 vs. 2022). This study demonstrated significant changes in the overall bacterial endophytic microbiome with FHB and the plant growth stage. Xanthomonas spp. were predominantly detected in the barley grain endosphere. In addition, bacterial amplicon sequence variants (ASVs) significantly associated with FHB‐infected samples (ASV0016; Kosakonia cowanii ), physiological maturity stage (ASV0001; Xanthomonas sp.) and genotypes moderately resistant to FHB (ASV0292; Weeksellaceae chryseobacterium ) were identified. An accumulation of bacterial ASVs was observed over the years. The study's findings may be used to predict conditions that could either induce or control FHB in the host through bacterial microbiome interaction.
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 | 0.000 | 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 | 0.000 | 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".