Keywords: paralog processing, transcriptome reprogramming, deep learning, CRISPR/Cas9

Latest 33 Papers

Cross-dataset evaluation of deep learning models for plant pest and disease diagnosis

Authors: Sun, J.

Date: 2025-11-03 · Version: 2

DOI: 10.1101/2024.10.07.617111

Model Organism: Solanum lycopersicum

deep learning cross-dataset generalization tomato pest and disease dataset variability model architecture

Golden Promise-rapid, a fast-cycling barley genotype with high transformation efficiency

Authors: Buchmann, G., Haraldsson, E. B., Schüller, R., Rütjes, T., Walla, A. A., von Korff Schmising, M., Liu, S.

Date: 2025-10-31 · Version: 1

DOI: 10.1101/2025.10.31.685778

Model Organism: Hordeum vulgare

Golden Promise Ppd-H1 speed breeding CRISPR/Cas9 transformation efficiency

Engineering compact Physalis peruviana (goldenberry) to promote its potential as a global crop

Authors: Santo Domingo, M., Fitzgerald, B., Robitaille, G. M., Ramakrishnan, S., Swartwood, K., Karavolias, N., Schatz, M., Van Eck, J., Lippman, Z.

Date: 2025-10-24 · Version: 2

DOI: 10.1101/2025.08.15.670557

Model Organism: Physalis peruviana

Physalis peruviana Goldenberry CRISPR/Cas9 plant architecture compact ideotype

Hyperspectral Imaging to Quantify Nodules and Detect Biological Nitrogen Fixation in Legumes

Authors: Wang, Y., de Silva, K., Song, D., Kamruzzaman, M., Brooks, M. D.

Date: 2025-10-24 · Version: 3

DOI: 10.1101/2025.07.25.666867

Model Organism: Multi-species

root nodules biological nitrogen fixation hyperspectral imaging deep learning legume species

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

Cis-regulatory architecture downstream of FLOWERING LOCUS T underlies quantitative control of flowering

Authors: Zhou, H.-R., Doan, D. T. H., Hartwig, T., Turck, F.

Date: 2025-09-25 · Version: 1

DOI: 10.1101/2025.09.23.678055

Model Organism: Arabidopsis thaliana

FLOWERING LOCUS T enhancer architecture cis‑regulatory logic CRISPR/Cas9 chromatin accessibility

Botanic Spectrum Analyser: A Deep Learning GUI for Plant Image Segmentation in Hyperspectral and RGB Phenotyping

Authors: Walsh, J. J., Gorgu, L., Cavel, E., Poulain, V., Gutierrez, L., Mangina, E., Negrao, S.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.14.676080

Model Organism: Multi-species

plant phenotyping image segmentation U‑Net hyperspectral imaging deep learning

Choosing the Best Route: Comparative Optimization of Wheat Transformation Methods for Improving Yield by Targeting TaARE1-D with CRISPR/Cas9

Authors: Tek, M. I., Budak Tek, K., Sarikaya, P., Ahmed, A. R., Fidan, H.

Date: 2025-09-12 · Version: 1

DOI: 10.1101/2025.09.11.675438

Model Organism: Triticum aestivum

Triticum aestivum CRISPR/Cas9 Agrobacterium-mediated transformation TaARE1-D yield improvement

tRNA-Based Polycistronic CRISPR/Cas9 System Boosts Efficiency of Multi-Gene Deletion in the Moss Physcomitrella.

Authors: Kozgunova, E.

Date: 2025-08-01 · Version: 1

DOI: 10.1101/2025.07.29.667574

Model Organism: Physcomitrium patens

CRISPR/Cas9 polycistronic tRNA‑gRNA array large gene deletion multiplex editing Physcomitrium patens

Integrative transcriptomic and phosphoproteomic analysis reveals key components of SnRK1 signaling network in rice

Authors: Faria-Bates, M. C., Maurya, C., Jamsheer K, M., Srivastava, V.

Date: 2025-07-23 · Version: 1

DOI: 10.1101/2025.07.22.666209

Model Organism: Oryza sativa

SnRK1 rice CRISPR/Cas9 phosphoproteomics stress response

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