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AI-summarized plant biology research papers from bioRxiv

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Latest 5 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

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

A genome‑wide association study of 187 bread wheat genotypes identified 812 significant loci linked to 25 spectral vegetation indices under rainfed drought conditions, revealing a major QTL hotspot on chromosome 2A that accounts for up to 20% of variance in greenness and pigment traits. Candidate gene analysis at this hotspot uncovered stress‑responsive genes, demonstrating that vegetation indices are heritable digital phenotypes useful for selection and genetic analysis of drought resilience.

Triticum aestivum drought stress spectral vegetation indices GWAS QTL hotspot

QTL for Heat-Induced Stomatal Anatomy Underpin Gas Exchange Variation in Field-Grown Wheat

Authors: Chaplin, E. D., Tanaka, E., Merchant, A., Sznajder, B., Trethowan, R., Salter, W. T.

Date: 2025-12-17 · Version: 1
DOI: 10.64898/2025.12.16.694723

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study evaluated how stomatal anatomy and physiological efficiency influence wheat heat tolerance across multi‑environment field trials with 200 genotypes, using early versus delayed sowing to impose temperature stress. Findings revealed a decoupling between anatomical capacity (gsmax) and actual conductance (gs, gse) under heat, plastic shifts toward smaller, denser stomata, and identified 125 QTL linked to stomatal traits, suggesting targets for breeding climate‑resilient wheat.

stomatal conductance heat stress wheat (Triticum aestivum) QTL mapping stomatal anatomy

Choosing the Best Route: Comparative Optimization of Wheat Transformation Methods for Improving Yield by Targeting TaARE1-D with CRISPR/Cas9

Authors: Tek, M. I., Budak Tek, K., Sarikaya, P., Ahmed, A. R., Fidan, H.

Date: 2025-09-12 · Version: 1
DOI: 10.1101/2025.09.11.675438

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study optimized three wheat transformation methods—immature embryo, callus, and in planta injection—by systematically adjusting Agrobacterium strain, bacterial density, acetosyringone concentration, and incubation conditions, achieving transformation efficiencies up to 66.84%. Using these protocols, CRISPR/Cas9 knockout of the negative regulator TaARE1-D produced mutants with increased grain number, spike length, grain size, and a stay‑green phenotype, demonstrating the platform’s potential to accelerate yield and stress‑tolerance improvements in wheat.

Triticum aestivum CRISPR/Cas9 Agrobacterium-mediated transformation TaARE1-D yield improvement

Host genotype shapes root mycobiota in durum wheat

Authors: TRINQUIER, M., COLOMBO, M., FREVILLE, H., JACQUES, D., ROCHER, A., LEFEBVRE, B., ROUX, C.

Date: 2025-03-06 · Version: 3
DOI: 10.1101/2024.10.27.616629

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study examined how genetic variation among 181 wheat (Triticum aestivum) lines influences root endophytic fungal communities using ITS2 metabarcoding. Heritability estimates and GWAS identified 11 QTLs linked to fungal clade composition, highlighting genetic control of mycobiota, especially for biotrophic AMF. These findings suggest breeding can be used to modulate beneficial root-fungal associations.

wheat genotype root endophytic mycobiota ITS2 barcoding GWAS QTL

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