Keywords: paralog processing, spatial transcriptomics, high‑throughput phenotyping

Latest 16 Papers

Spatial transcriptomics of developing wheat seed reveals radial expression patterns in endosperm and subgenome biased expression of key genes

Authors: Millsteed, T., Kainer, D., Sullivan, R., Sun, X., Li, K. L., Mao, L., Macdonald, A., Henry, R. J.

Date: 2025-06-08 · Version: 1

DOI: 10.1101/2025.06.08.658529

spatial transcriptomics wheat seed development endosperm gene expression subgenome bias STOmics platform

Spatial and single-cell transcriptomics capture two distinct cell states in plant immunity

Authors: Hu, Y., Schaefer, R., Rendleman, M., Slattery, A., Cramer, A., Nahiyan, A., Breitweiser, L., Shah, M., Kaehler, E., Yao, C., Bowling, A., Crow, J., May, G., Tabor, G., Thatcher, S., Uppalapati, S. R., Muppirala, U., Deschamps, S.

Date: 2025-06-06 · Version: 1

DOI: 10.1101/2025.06.03.657683

Model Organism: Glycine max

spatial transcriptomics single-nuclei RNA-seq plant immunity Phakopsora pachyrhizi cell non‑autonomous defense

Prediction of harvest-related traits in barley using high-throughput phenotyping data and machine learning

Authors: Tietze, H., Abdelhakim, L., Pleskacova, B., Kurtz-Sohn, A., Fridman, E., Nikoloski, Z., Panzarova, K.

Date: 2025-06-02 · Version: 1

DOI: 10.1101/2025.05.29.656856

Model Organism: Hordeum vulgare

high‑throughput phenotyping drought stress temporal modeling Barley (Hordeum vulgare)RGB imaging

Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: a case study in maize

Authors: Hodge, J. G., Leakey, A. D. B.

Date: 2025-05-23 · Version: 1

DOI: 10.1101/2025.05.21.655366

Model Organism: Zea mays

stomatal density high‑throughput phenotyping spatial analysis quantitative trait loci structural equation modeling

Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development

Authors: Demesa-Arevalo, E., Dorpholz, H., Vardanega, I., Maika, J. E., Pineda-Valentino, I., Eggels, S., Lautwein, T., Kohrer, K., Schnurbusch, T., von Korff, M., Usadel, B., Simon, R.

Date: 2025-05-11 · Version: 1

DOI: 10.1101/2025.05.09.653223

Model Organism: Hordeum vulgare

Barley (Hordeum vulgare)inflorescence meristems single-cell RNA sequencing spatial transcriptomics developmental gene regulation

The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years

Authors: Roth, L., Boss, M., Kirchgessner, N., Aasen, H., Aguirre-Cuellar, B. P., Akiina, P. P. A., Anderegg, J., Gajardo Castillo, J., Chen, X., Corrado, S., Cybulski, K., Keller, B., Kortstee, S. G., Kronenberg, L., Liebisch, F., Nousi, P., Oppliger, C., Perich, G., Pfeifer, J., Yu, K., Storni, N., Tschurr, F., Volpi, M., Treier, S., Zellweger, H., Zumsteg, O., Hund, A., Walter, A.

Date: 2025-03-11 · Version: 3

DOI: 10.1101/2024.10.04.616624

Model Organism: Triticum aestivum

genotype‑environment interaction winter wheat high‑throughput phenotyping genomic prediction crop modeling

PreviousPage 2 of 2