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AI-summarized plant biology research papers from bioRxiv

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Latest 3 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

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

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study used paired whole‑genome bisulphite sequencing and RNA‑seq on wheat landraces to investigate how DNA methylation patterns change during drought stress, revealing antagonistic trends across cytosine contexts and a key demethylation role for ROS1a family members. Gene‑body methylation correlated positively with expression but negatively with stress‑responsive changes, while drought‑induced hyper‑methylation of specific transposable elements, especially the RLX_famc9 LTR retrotransposon, appears to modulate downstream gene regulation via siRNA precursors.

drought stress DNA methylation Triticum aestivum ROS1a demethylase transposable elements

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