Comparative transcriptomic analysis uncovers the stage-specific gene expression profiles related to S-type cytoplasmic male sterility (CMS) in wheat (Triticum aestivum)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Context Wheat cytoplasmic male sterility (CMS), particularly S-type (derived from T. spelta cytoplasm), is crucial for hybrid seed production because of its easy fertility transition and broad restorer compatibility. However, unclear nuclear-cytoplasmic interaction mechanisms limit elite hybrid development. Aims This study investigated transcriptomic and hormonal dynamics in S-CMS line (S1376A) and maintainer (1376B) anthers to identify sterility regulators and validate candidates via CRISPR/Cas9. Methods RNA-seq profiled anthers at tetrad, uninucleate, and binucleate stages. High-performance liquid chromatography (HPLC) quantified indole-3-acetic acid (IAA), zeatin riboside (ZR), and abscisic acid (ABA). CRISPR/Cas9 generated TaMYB80L mutants, validated using microscopy and starch staining. Key results Transcriptome analysis identified stage-specific differentially expressed genes (DEGs) enriched in energy metabolism, hormone signaling, cell-wall biosynthesis, including genes encoding six PCD regulators and seven hormone-responsive factors. At uninucleate stage, 1376B had higher IAA (206.74 vs 60.07 ng g−1) and ZR (63.56 vs 38.62 ng g−1), whereas S1376A had 2.5-fold higher ABA (74.14 vs 29.67 ng g−1). TaMYB80L mutants (achieved a triple homoeolog editing efficiency of 8.57%) displayed complete (100%) pollen abortion, phenocopying the S1376A sterility. Conclusions TaMYB80L is a key regulator of S-type CMS, coordinating tapetal programmed cell death (PCD) and hormonal crosstalk. Our integrated analysis elucidates critical nuclear–cytoplasmic interactions underlying sterility. Implications Insights into TaMYB80L advance CMS understanding and provide precise targets for hybrid wheat breeding.
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.
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 | 0.001 |
| 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 it