Keywords: paralog processing, transcriptomics, introgression, Zea mays

Latest 62 Papers

Welcome pathogens: transient heat dampens the responses to acibenzolar-S-methyl beyond defenses in apple plants

Authors: Chavonet, E., Nguyen, B.-h., Heintz, C., Cournol, R., Siroka, J., Novak, O., Larbat, R., Gaucher, M., Brisset, M.-N., Pantin, F., Degrave, A.

Date: 2025-04-06 · Version: 1

DOI: 10.1101/2025.04.03.647103

Model Organism: Malus domestica

heat stress acibenzolar‑S‑methyl (ASM)induced immunity apple (Malus domestica)transcriptomics

Volatiles from low R:FR-treated maize plants increase the emission of herbivore-induced plant volatiles in their neighbors

Authors: Escobar Bravo, R., Schimmel, B. C. J., Erb, M.

Date: 2025-04-02 · Version: 2

DOI: 10.1101/2024.10.05.616768

Model Organism: Zea mays

low R:FR light Zea mays herbivore‑induced plant volatiles volatile priming plant‑plant communication

Omics-driven Identification of Candidate Genes and SNP markers in a Major QTL Controlling Early Heading in Rice

Authors: Rao, D., T, N. S., CG, G., Gaur, N., Jamaloddin, M., Maganti, S. M., Raman, M. S., Patel, H. K., Tiwari, S., Sonti, R. V.

Date: 2025-03-27 · Version: 1

DOI: 10.1101/2025.03.25.645207

Model Organism: Oryza sativa

heading date rice (Oryza sativa)QTL-seq SNP markers transcriptomics

Multilevel analysis of response to plant growth promoting and pathogenic bacteria in Arabidopsis roots and the role of CYP71A27 in this response

Authors: Koprivova, A., Ristova, D., Berka, M., Berkova, V., Türksoy, G. M., Andersen, T. G., Westhoff, P., Cerny, M., Kopriva, S.

Date: 2025-03-27 · Version: 1

DOI: 10.1101/2025.03.26.645393

Model Organism: Arabidopsis thaliana

CYP71A27 plant‑microbe interaction Pseudomonas fluorescens CH267 Burkholderia glumeae PG1 transcriptomics

High-resolution transcriptional atlas of growing maize shoot organs throughout plant development under well-watered and drought conditions

Authors: Zhang, J., Verbraeken, L., Sprenger, H., Mertens, S., Wuyts, N., Cannoot, B., De Block, J., Demuynck, K., Natran, A., Maleux, K., Merchie, J., Crafts-Brandner, S., Vogel, J., Bruce, W., Inze, D., Maere, S., Nelissen, H.

Date: 2025-03-13 · Version: 1

DOI: 10.1101/2025.03.12.642568

Model Organism: Zea mays

Zea mays leaf and internode development drought stress spatiotemporal transcriptome atlas gene regulatory networks

Micro-Mel and Mini-Mel short life cycle dwarf lines with Solanum anguivi introgressions as the first model varieties for eggplant research and breeding

Authors: Martinez-Lopez, M., Baraja-Fonseca, V., Garcia-Fortea, E., Plazas, M., Vilanova, S., Prohens, J., Gramazio, P.

Date: 2025-03-07 · Version: 1

DOI: 10.1101/2025.03.07.642017

Model Organism: Solanum melongena

Solanum melongena dwarf model lines introgression whole‑genome sequencing rapid‑cycling

The genome of the vining fern Lygodium microphyllum highlights genomic and functional differences between life phases of an invasive plant

Authors: Pelosi, J., Davenport, R., Kuo, L.-Y., Gray, L. N., Dant, A. J., Kim, E. H., Li, F.-W., Dlugosch, K. M., Krabbenhoft, T. J., Barbazuk, W. B., Sessa, E. B.

Date: 2025-03-07 · Version: 1

DOI: 10.1101/2025.03.06.640867

Model Organism: Lygodium microphyllum

Lygodium microphyllum alternation of generations transcriptomics methylome invasive species

Fiber Bragg grating based sensing system for non-destructive root phenotyping using ResNet prediction

Authors: Binder, S., Hossain, K., Bucksch, A., Fok, M.

Date: 2025-02-28 · Version: 2

DOI: 10.1101/2024.09.17.613457

Model Organism: Zea mays

root architecture fiber Bragg grating real-time phenotyping deep learning Zea mays

Interactive effect of Moringa oleifera mediated green nanoparticles and arbuscular mycorrhizal fungi on growth, root system architecture, and nutrient uptake in maize (Zea mays L.)

Authors: Ain, Q. u., Hussain, H. A., Rahman, L., Zhang, Q., Rehman, A., Hussain, S., Uddin, S., Imran, A.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.23.639791

Model Organism: Zea mays

arbuscular mycorrhizal fungi green nanoparticles Zea mays iron oxide (FeO)zinc oxide (ZnO)

Population-scale gene expression analysis reveals the contribution of expression diversity to the modern wheat improvement

Authors: Zhang, Z., Ma, S., Yin, M., Zhao, C., Zhao, X., yu, Y., Wang, H., Li, X., Si, Y., Niu, J., Xie, J., Wang, L., Wu, J., Zhang, Y., Zheng, Q., Zheng, S., Jiang, N., Liu, X., Ling, H.-Q., He, F.

Date: 2025-02-23 · Version: 1

DOI: 10.1101/2025.02.18.638840

Model Organism: Triticum aestivum

gene expression variation pan‑genome eQTL analysis introgression wheat

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