Keywords: decoding modules, transcriptomic reprogramming, deep learning, ascorbate, GWAS, Zea mays

Latest 57 Papers

Partial retention of ancient function increases genetic pleiotropy in grass evolution

Authors: de Neve, A. E., Kelly, O. A., Kelly, T., Leiboff, S., Bartlett, M. E.

Date: 2025-08-23 · Version: 1

DOI: 10.1101/2025.08.22.670905

Model Organism: Zea mays

genetic pleiotropy axillary meristem suppression floral organ suppression high-throughput quantitative phenotyping Zea mays

An Axiom SNP genotyping array for potato: development, evaluation and applications

Authors: Baig, N., Thelen, K., Ayenan, M. A. T., Hartje, S., Obeng-Hinneh, E., Zgadzaj, R., Renner, J., Muders, K., Truberg, B., Rosen, A., Prigge, V., Bruckmueller, J., Luebeck, J., Van Inghelandt, D., Stich, B.

Date: 2025-08-20 · Version: 1

DOI: 10.1101/2025.08.17.670748

Model Organism: Solanum tuberosum

high-density SNP array potato (Solanum tuberosum)genomic-assisted breeding GWAS polyphenol oxidase activity

Identification of a novel link connecting indole-3-acetamide with abscisic acid biosynthesis and signaling

Authors: Moya-Cuevas, J., Ortiz-Garcia, P., Gonzalez Ortega-Villizan, A., Viguera-Leza, I., Perez-Gonzalez, A., Paz-Ares, J., Alonso-Blanco, C., Vicente-Carbajosa, J., Pollmann, S.

Date: 2025-08-20 · Version: 1

DOI: 10.1101/2025.08.15.670611

Model Organism: Arabidopsis thaliana

indole-3-acetamide (IAM)abscisic acid (ABA) signaling Arabidopsis thaliana GWAS hormone crosstalk

Non-catalytic and catalytic TREHALOSE-6-PHOSPHATE SYNTHASES interact with RAMOSA3 to control maize development.

Authors: Tran, T., Claeys, H., Abraham Juarez, M. J., Vi, L. S., Xu, X., Michalski, K., Chou, T. H., Iohannes, S. D., Boumpas, P., Williams, Z., Sheppard, S., Griffiths, C., Paul, M., Furukawa, H., Jackson, D.

Date: 2025-08-12 · Version: 1

DOI: 10.1101/2025.08.09.669499

Model Organism: Zea mays

Trehalose-6-phosphate non‑catalytic TPS Zea mays protein complex developmental regulation

ZmCRY1s interact with GL2 in a blue light dependent manner to regulate epidermal wax composition in Zea mays

Authors: Zhao, Z., Feng, F., Liu, Y., Liu, Y., Wang, F., Ni, Y., Liang, H., Hu, W., Wang, S., Hao, Y., Li, X., Li, J., Wang, J., Zhang, P., Liu, H.

Date: 2025-08-06 · Version: 1

DOI: 10.1101/2025.08.06.668858

Model Organism: Zea mays

cryptochrome Zea mays blue light signaling UV-B tolerance epidermal wax biosynthesis

Whole genome sequencing-based multi-locus association mapping for kernel iron, zinc and protein content in groundnut

Authors: Sagar, U. N., Parmar, S., Gangurde, S. S., Sharma, V., Pandey, A. K., Mohinuddin, D. K., Dube, N., Bhat, R. S., John, K., Sreevalli, M. D., Rani, P. S., Singh, K., Varshney, R. K., Pandey, M. K.

Date: 2025-08-05 · Version: 1

DOI: 10.1101/2025.08.04.668427

Model Organism: Arachis hypogaea

groundnut nutritional quality GWAS SNP markers KASP

Integrative genomic and transcriptomic analyses uncover regulatory landscape of symbiotic nitrogen fixation in soybean natural population

Authors: Li, Y., Feng, w., Feng, X., Liu, X., Hao, S., Lian, L., Gao, L., Shao, Y., Chen, H., Chen, Z., Yuan, J., Qin, L., Li, X., Li, X., Wang, X.

Date: 2025-07-23 · Version: 1

DOI: 10.1101/2025.07.18.665310

Model Organism: Glycine max

symbiotic nitrogen fixation GWAS TWAS eQTL mapping ATAC-seq

Phenotypic scoring of Canola Blackleg severity using machine learning image analysis

Authors: Hu, Q., Anderson, S. N., Gardner, S., Ernst, T. W., Koscielny, C. B., Bahia, N. S., Johnson, C. G., Jarvis, A. C., Hynek, J., Coles, N., Falak, I., Charne, D. R., Ruidiaz, M. E., Linares, J. N., Mazis, A., Stanton, D. J.

Date: 2025-07-22 · Version: 1

DOI: 10.1101/2025.07.17.665372

Model Organism: Multi-species

blackleg disease canola (Brassica spp.)deep learning image-based phenotyping disease severity scoring

RegenPGC View: Semantic Segmentation of Perennial Groundcover Cropping Systems to Restore American Croplands

Authors: Meyering, B., Schlautman, B.

Date: 2025-07-06 · Version: 1

DOI: 10.1101/2025.07.03.663038

Model Organism: General

perennial groundcovers cover cropping deep learning convolutional neural network image‑based phenotyping

Exploring phenotypic and genetic variation in Lactuca with GWAS in L. sativa and L. serriola

Authors: Mehrem, S. L., Van den Ackerveken, G., Snoek, B. L.

Date: 2025-07-01 · Version: 1

DOI: 10.1101/2025.06.27.661939

Model Organism: Multi-species

Lactuca wild relatives anthocyanin accumulation leaf morphology pathogen resistance GWAS

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