Keywords: paralog processing, ascorbate, machine learning, genome assembly

Latest 21 Papers

Endophytes induce systemic spatial reprogramming of metabolism in poplar roots under drought

Authors: Aufrecht, J. A., Velickovic, D., Tournay, R., Couvillion, S. P., Balasubramanian, V. K., Winkler, T., Herrera, D., Stanley, R., Doty, S., Ahkami, A. H.

Date: 2025-06-06 · Version: 1

DOI: 10.1101/2025.06.02.657501

Model Organism: General

beneficial endophytes drought stress root metabolome chemical imaging machine learning

Arabidopsis lines with modified ascorbate concentrations reveal a link between ascorbate and auxin biosynthesis

Authors: Fenech, M., Zulian, V., Moya-Cuevas, J., Arnaud, D., Morilla, I., Smirnoff, N., Botella, M. A., Stepanova, A. N., Alonso, J. M., Martin-Pizarro, C., Amorim-Silva, V.

Date: 2025-05-16 · Version: 1

DOI: 10.1101/2025.05.15.654287

Model Organism: Arabidopsis thaliana

ascorbate Arabidopsis thaliana auxin biosynthesis redox homeostasis transcriptomics

Multiplexed profiling of transcriptional regulators in plant cells

Authors: Alamos, S., Waldburger, L., Dee, A., Owens, L., Rattan, R., Ong, S., Shih, P.

Date: 2025-05-14 · Version: 1

DOI: 10.1101/2025.05.12.653590

Model Organism: General

transcriptional regulation high-throughput plant assay protein‑coding library machine learning synthetic protein engineering

Phylogenetic Analysis and Machine Learning Identify Signatures of Selection and Predict Deleterious Mutations in Common Bean

Authors: Cordoba-Novoa, H. A., Buckler, E. S., Romay, C., Berthel, A., Johnson, L., Balasubramanian, P., Hoyos Villegas, V.

Date: 2025-05-06 · Version: 1

DOI: 10.1101/2025.05.05.652309

Model Organism: Phaseolus vulgaris

deleterious mutations genetic load common bean MAGIC population machine learning

S2-PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Authors: Vomo Donfack, K. L., Abaach, M., Luna, A. M., Ginot, G., Doblas, V. G., Morilla, I.

Date: 2025-05-06 · Version: 2

DOI: 10.1101/2024.08.02.606319

Model Organism: General

small signalling peptides machine learning protein language models geometric-topological analysis reinforcement learning

Whole-genome sequencing reveals the molecular basis of sex determination in the dioecious wild yam Dioscorea tokoro

Authors: Kudoh, A., Natsume, S., Sugihara, Y., Kato, H., Abe, A., Oikawa, K., Shimizu, M., Itoh, K., Tsujimura, M., Takano, Y., Sakai, T., Adachi, H., Ohta, A., Ohtsu, M., Ishizaki, T., Terachi, T., Terauchi, R.

Date: 2025-04-30 · Version: 1

DOI: 10.1101/2025.04.28.650915

Model Organism: Dioscorea tokoro

dioecy sex determination XY system Dioscorea tokoro genome assembly

Structural variations contribute to subspeciation and heterosis in rice

Authors: Dan, Z., Chen, Y., Huang, W.

Date: 2025-04-14 · Version: 2

DOI: 10.1101/2024.11.03.621459

Model Organism: Oryza sativa

heterosis structural variants rice subspeciation indica japonica genome assembly

Pathogenicity and genome assembly of a Pythium aphanidermatum isolate causing damping-off in amaranth in controlled environment agriculture

Authors: Thanyasiriwat, T., Kawicha, P., MacDonald, S., Sangdee, A., Tongyoo, P., Denby, K.

Date: 2025-04-10 · Version: 1

DOI: 10.1101/2025.04.10.648180

Model Organism: Amaranthus

Pythium aphanidermatum amaranth genome assembly pathogenicity assays effector proteins

High Density Phenotypic Map of Natural Variation for Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize

Authors: Kunduru, B., Bokros, N. T., Tabaracci, K., Kumar, R., Brar, M. S., Stubbs, C. J., Oduntan, Y., DeKold, J., Bishop, R. H., Woomer, J., Verges, V. L., McDonald, A., McMahan, C. S., DeBolt, S., Robertson, D. J., Sekhon, R.

Date: 2025-04-06 · Version: 1

DOI: 10.1101/2025.04.03.647088

Model Organism: Zea mays

stalk lodging resistance maize phenomics genetic architecture intermediate phenotypes machine learning

Sunflower yield modeling with XAI: Historical weather impacts and forecasting

Authors: Majumder, S., Mason, C.

Date: 2025-02-28 · Version: 1

DOI: 10.1101/2025.02.27.640573

Model Organism: Helianthus annuus

explainable AI sunflower yield climate variability machine learning Shared Socioeconomic Pathways

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