Keywords: paralog processing, ascorbate, transcriptome analysis, sampling protocols, Triticum aestivum

Latest 22 Papers

Wheat diversity reveals new genomic loci and candidate genes for vegetation indices using genome-wide association analysis

Authors: Rustamova, S., Jahangirov, A., Leon, J., Naz, A. A., Huseynova, I.

Date: 2026-01-14 · Version: 1

DOI: 10.64898/2026.01.14.699455

Triticum aestivum drought stress spectral vegetation indices GWAS QTL hotspot

Expanding the TaNAS gene family in bread wheat and exploring potential for intragenic biofortification

Authors: Carey-Fung, O., Beasley, J. T., Josua Felix, E., Tarry-Smith, L., Leckie, N., Callahan, D. L., Appels, R., Johnson, A. A. T.

Date: 2025-12-09 · Version: 1

DOI: 10.64898/2025.12.07.692865

Model Organism: Triticum aestivum

Nicotianamine synthase Triticum aestivum Iron and zinc biofortification Gene overexpression Metal homeostasis

DNA methylation mediates transcriptional stability and transposon-driven trans-regulation under drought in wheat

Authors: Reynolds, I. J., Barratt, L. J., Harper, A. L.

Date: 2025-12-05 · Version: 1

DOI: 10.64898/2025.12.04.692301

Model Organism: Triticum aestivum

drought stress DNA methylation Triticum aestivum ROS1a demethylase transposable elements

Transcriptome and hormone regulations shape drought stress-dependent Fusarium Head Blight susceptibility in different barley genotypes

Authors: Hoheneder, F., Steidele, C. E., Gigl, M., Dawid, C., Hueckelhoven, R.

Date: 2025-11-25 · Version: 1

DOI: 10.1101/2025.11.23.689882

Model Organism: Hordeum vulgare

Fusarium Head Blight drought stress barley hormone profiling transcriptome analysis

Root anatomical gradients and cultivar differences underlie variation in root hydraulic properties in German winter wheat

Authors: Baca Cabrera, J. C., Jones, D. H., Vanderborght, J., Behrend, D., Schneider, H., Lobet, G.

Date: 2025-11-19 · Version: 1

DOI: 10.1101/2025.11.19.689226

Model Organism: Triticum aestivum

root hydraulic conductance crown roots Triticum aestivum high-throughput imaging GRANAR-MECHA modeling

Aggressive nitrogen assimilation during exponential growth in Chlamydomonas reinhardtii

Authors: Tibule, M., Mallawarachchi, W., Oyateru, O., Ziaeian, M., Kim, M., Dharmasiri, H. N., Lee, J.-H.

Date: 2025-11-04 · Version: 1

DOI: 10.1101/2025.11.02.686124

Model Organism: Chlamydomonas reinhardtii

nitrogen use strategies Chlamydomonas reinhardtii nitrogen assimilation transcriptome analysis nitrogen storage

Evaluation of combined root exudate and rhizosphere microbiota sampling approaches to elucidate plant-soil-microbe interaction

Authors: Escudero-Martinez, C., Browne, E. Y., Schwalm, H., Santangeli, M., Brown, M., Brown, L., Roberts, D. M., Duff, A. M., Morris, J., Hedley, P. E., Thorpe, P., Abbott, J. C., Brennan, F., Bulgarelli, D., George, T. S., Oburger, E.

Date: 2025-10-24 · Version: 1

DOI: 10.1101/2025.10.23.683011

Model Organism: Hordeum vulgare

root exudates rhizosphere microbiota barley sampling protocols amplicon sequencing

Maternal Light and Temperature Modulate Seed Longevity in Arabidopsis

Authors: Mazhari Azad, S., Gill Villar, D., Yordan, E., Mestre Pluvinet, P., Forment, J., Tarraga Herrero, S., Gonzalez, C., Ninoles Rodenes, R., Gadea, J.

Date: 2025-10-19 · Version: 1

DOI: 10.1101/2025.10.19.683148

Model Organism: Arabidopsis thaliana

seed longevity maternal environment effect Arabidopsis thaliana temperature and light interaction transcriptome analysis

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

Explainable AI shows climate impacts on wheat yields: insights from 30 years of field data.

Authors: Visse-Mansiaux, M., Ryo, M., Burton, A., Siraj, T., Schiller, J., Treier, S., Pellet, D., Stefan, L., Levy Haener, L., Herrera, J. M., Wanger, T. C.

Date: 2025-09-21 · Version: 1

DOI: 10.1101/2025.09.19.677331

Model Organism: Triticum aestivum

Triticum aestivum climate-driven yield variability explainable artificial intelligence gradient boosting genotype‑by‑environment interaction

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