Latest 17 Papers

Homoeolog expression in polyploid wheat mutants shows limited transcriptional compensation

Authors: Dorussen, D., Knight, E., Simmonds, J., Borrill, P.

Date: 2025-07-02 · Version: 1
DOI: 10.1101/2025.07.01.662569

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study investigated whether wheat homoeologous genes actively compensate for each other when one copy acquires a premature termination codon (PTC) mutation. By analyzing mutagenised wheat lines, the authors found that only about 3% of cases exhibited upregulation of the unaffected homoeolog, indicating that widespread active transcriptional compensation is absent in wheat.

transcriptional compensation homoeologs premature termination codon wheat mutagenised lines

TaPGS1 Driven Flavonol Accumulation Delays Endosperm Cellularization and Enlarges Wheat Grains

Authors: Wang, J., Guo, X., Liu, X., Jin, Y., zhao, s., Liang, W., Li, M., Cheng, M., Dong, H., Chen, Q., Chen, Z.

Date: 2025-06-23 · Version: 1
DOI: 10.1101/2025.06.17.660139

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

Overexpression of the wheat bHLH transcription factor TaPGS1 leads to increased flavonol accumulation in the seed coat, which disrupts polar auxin transport and causes localized auxin accumulation, delaying endosperm cellularization and increasing cell number, thereby enlarging grain size. Integrated metabolomic and transcriptomic analyses identified upregulated flavonol biosynthetic genes, revealing a regulatory module that links flavonol-mediated auxin distribution to seed development in wheat.

flavonols grain size TaPGS1 auxin transport wheat

Alginate Oligosaccharides (from DP2 to DP9) Differentially Modulate Phytohormone Levels in Botrytis cinerea-Infected Wheat

Authors: Zhang, Z., Wang, X., Chi, Y.

Date: 2025-06-20 · Version: 1
DOI: 10.1101/2025.06.18.660292

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study evaluated how alginate oligosaccharide (AOS) chain length influences the levels of seven key phytohormones in wheat seedlings challenged with Botrytis cinerea. Hormone profiling revealed that mid‑range oligomers (DP 4‑6) most strongly up‑regulate defense‑related hormones (JA, SA, ABA, CTK), whereas longer oligomers (DP 7) most effectively suppress ethylene. These findings suggest that tailoring AOS polymerization can optimize disease resistance and growth in cereal crops.

alginate oligosaccharides degree of polymerization phytohormone modulation wheat Botrytis cinerea

Data-driven mathematical modelling explains altered timing of EARLY FLOWERING 3 in the wheat circadian oscillator

Authors: Upadhyay, A., Rowland-Chandler, J., Stewart-Wood, J., Pingarron-Cardenas, G., Tokuda, I. T., Webb, A. A., Locke, J. C.

Date: 2025-04-08 · Version: 1
DOI: 10.1101/2025.04.08.644541

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study investigates the altered timing of the core circadian oscillator gene ELF3 in wheat compared to Arabidopsis, revealing that dawn-specific expression in wheat arises from repression by TOC1. An optimized computational model integrating experimental expression data and promoter architecture predicts that wheat’s circadian oscillator remains robust despite this shift, indicating flexibility in plant circadian network design.

circadian rhythm ELF3 wheat TOC1 repression computational modeling

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Authors: Wang, Z., Zenkl, R., Greche, L., De Solan, B., Bernigaud Samatan, L., Ouahid, S., Visioni, A., Robles-Zazueta, C. A., Pinto, F., Perez-Olivera, I., Reynolds, M. P., Zhu, C., Liu, S., D'argaignon, M.-P., Lopez-Lozano, R., Weiss, M., Marzougui, A., Roth, L., Dandrifosse, S., Carlier, A., Dumont, B., Mercatoris, B., Fernandez, J., Chapman, S., Najafian, K., Stavness, I., Wang, H., Guo, W., Virlet, N., Hawkesford, M., Chen, Z., David, E., Gillet, J., Irfan, K., Comar, A., Hund, A.

Date: 2025-03-19 · Version: 1
DOI: 10.1101/2025.03.18.642594

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The Global Wheat Dataset Consortium released a comprehensive semantic segmentation dataset (GWFSS) of wheat organs across developmental stages, comprising 1,096 fully annotated images and 52,078 unannotated images from 11 institutions. Models based on DeepLabV3Plus and Segformer were trained, with Segformer achieving ≈90% mIoU for leaves and spikes but lower precision (54%) for stems, while also enabling weed exclusion and discrimination of necrotic, senescent, and residue tissues.

wheat semantic segmentation computer vision deep learning phenotyping

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

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

RNA‑seq of 328 wheat lines using a pan‑genome reference uncovered over 20,000 additional transcripts beyond the Chinese Spring genome and enabled construction of a pan‑gene eQTL regulatory atlas. Multi‑omics integration identified 231 high‑confidence candidate genes influencing 34 agronomic traits and powdery mildew resistance, with functional validation showing 80% of candidates affecting trait phenotypes via an EMS mutant library.

gene expression variation pan‑genome eQTL analysis introgression wheat

Plant plasticity in the face of climate change - CO2 offsetting effects to warming and water deficit in wheat. A review.

Authors: Gawinowski, M., Chenu, K., Deswarte, J.-C., Launay, M., Bancal, M.-O.

Date: 2025-02-12 · Version: 1
DOI: 10.1101/2025.02.10.637370

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

This review compiles experimental studies on wheat to assess how elevated CO₂, higher temperatures, and water deficit interact and affect productivity and water use. By calculating plasticity indices, the authors find that despite CO₂‑induced gains, overall yield generally declines under combined stress, while water consumption often decreases. They highlight the need for more data to improve and validate crop models under future climate scenarios.

elevated CO2 heat stress drought wheat plasticity indices
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