Keywords: paralog processing, CO2-fixing enzyme, transcriptome reprogramming, deep learning, GWAS

Latest 33 Papers

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

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

Wild genes to the rescue: High-throughput genomics uncovers the wild source of broomrape resistance in sunflower

Authors: Sisou, D., Ziadne, H., Eizenberg-Weiss, M., Eizenberg, H., Hubner, S.

Date: 2025-09-16 · Version: 1

DOI: 10.1101/2025.09.14.676089

Model Organism: Helianthus annuus

Orobanche cumana Helianthus annuus GWAS k‑mer mapping resistance QTL

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

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

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