Bibliographic record
Abstract
This study explores the genetic basis of sweet potato ( Ipomoea batatas ) adaptation, with a particular focus on drought tolerance mechanisms. Key genes and molecular pathways have been identified that help the plant survive under water stress, thus facilitating the development of more resilient sweet potato varieties. Recent research has made significant progress in understanding the genetic mechanisms underlying drought tolerance in sweet potatoes. Recent studies have provided significant insights into the genetic mechanisms underlying drought tolerance in sweet potato. Transcriptomic analyses have identified thousands of differentially expressed genes in response to drought stress, with many genes being common across different cultivars and enriched for drought response-related functions. Specific genes such as ItfWRKY70 have been shown to enhance drought tolerance by regulating ABA biosynthesis, stomatal aperture, and the ROS scavenging system. Additionally, the overexpression of the IbMIPS1 gene has been linked to improved drought and salt tolerance, as well as resistance to stem nematodes, through the upregulation of stress response pathways and the accumulation of protective metabolites. Furthermore, alternative splicing events and genotype-specific responses have been observed, indicating a complex and multifaceted genetic response to drought stress. The findings from these studies underscore the complexity of drought tolerance mechanisms in sweet potato, involving a wide array of genes and regulatory pathways. The identification of key drought-responsive genes and their functional roles provides valuable resources for geneticists and breeders aiming to develop drought-tolerant sweet potato cultivars. These insights not only enhance our understanding of plant adaptation to abiotic stress but also pave the way for future genetic improvement programs.
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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".