Genetius

AI-summarized plant biology research papers from bioRxiv

View Trends

Latest 5 Papers

Effects of atmospheric CO2 levels on the susceptibility of maize to diverse pathogens

Authors: Khwanbua, E., Qi, Y., Ssengo, J., Liu, P., Graham, M. A., Whitham, S.

Date: 2026-01-02 · Version: 1
DOI: 10.64898/2025.12.31.697224

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study examined how elevated atmospheric CO₂ (550 ppm) affects immunity in the C₄ cereal maize (Zea mays L.) by exposing plants grown under ambient and elevated CO₂ to a range of pathogens. Elevated CO₂ increased susceptibility to sugarcane mosaic virus, decreased susceptibility to several bacterial and fungal pathogens, and left susceptibility to others unchanged, with reduced bacterial disease linked to heightened basal immune responses. These findings provide a baseline for future investigations into CO₂‑responsive defense mechanisms in C₄ crops.

elevated CO₂ maize plant immunity pathogen susceptibility C4 crops

Predicting complex phenotypes using multi-omics data in maize

Authors: Creach, M., Webster, B., Newton, L., Turkus, J., Schnable, J., Thompson, A., VanBuren, R.

Date: 2025-10-01 · Version: 1
DOI: 10.1101/2025.09.30.679283

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study evaluated whether integrating genomic, transcriptomic, and drone-derived phenomic data improves prediction of 129 maize traits across nine environments, using both linear (rrBLUP) and nonlinear (SVR) models. Multi-omics models consistently outperformed single-omics models, with transcriptomic data especially enhancing cross‑environment predictions and capturing genotype‑by‑environment interactions. The results highlight the added value of combining transcriptomics and phenomics with genotypes for more accurate and generalizable trait prediction in maize.

multi-omics trait prediction transcriptomics phenomics genotype-by-environment interaction

Genome-wide Identification, Structural Features and Single-Cell Expression Atlas of the Carbonic Anhydrase Gene Family in Maize (Zea mays L.)

Authors: Gao, Y., Zhao, C.

Date: 2025-09-21 · Version: 1
DOI: 10.1101/2025.09.21.677582

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study provides a comprehensive genome-wide catalog and single‑cell expression atlas of the carbonic anhydrase (CA) gene family in maize, identifying 18 CA genes across α, β, and γ subfamilies and detailing their structural and regulatory features. Phylogenetic, synteny, promoter motif, bulk tissue RNA‑seq, and single‑cell RNA‑seq analyses reveal distinct tissue and cell‑type specific expression patterns, highlighting β‑CAs as key players in C4 photosynthesis and γ‑CAs in ion/pH buffering, and propose cell‑type‑specific CA genes as targets for improving stress resilience.

carbonic anhydrases maize single-cell RNA‑seq phylogenetic analysis stress resilience

Pathogenic fungus exploits the lateral root regulators to induce pluripotency in maize shoots

Authors: Khan, M., Nagarajan, N., Schneewolf, K., Marcon, C., Wang, D., Hochholdinger, F., Yu, P., Djamei, A.

Date: 2025-07-01 · Version: 1
DOI: 10.1101/2025.06.30.662278

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study identifies fungal effectors from Ustilago maydis that interact with plant TOPLESS corepressors and induce gall formation by hijacking maize lateral root initiation pathways, notably through upregulation of LBD transcription factors. Transgenic expression of class II effectors derepresses auxin signaling, leading to pluripotent calli without external hormones, and maize mutants in LBD genes show reduced gall development.

Ustilago maydis effectors TOPLESS corepressor auxin signaling lateral root initiation LBD transcription factors

Archaeological Bolivian maize genomes suggest Inca cultural expansion augmented maize diversity in South America

Authors: Chen, H., Baetsen-Young, A., Thompson, A., Day, B., Madzima, T., Wasef, S., Rivera Casanovas, C., Lovis, W., Wrobel, G.

Date: 2025-04-01 · Version: 1
DOI: 10.1101/2025.03.31.646424

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study analyzes ancient maize genomes from a 500–600 BP Bolivian offering and compares them with 16 archaeological samples spanning 5,000 years and 226 modern Zea mays lines, revealing close genetic affinity to ancient Peruvian maize and increased diversity during Inca‑local interactions. Phylogenetic and phenotypic analyses of ovule development indicate targeted breeding for seed quality and yield, suggesting culturally driven selection was already established by the 15th century CE.

ancient maize biocultural selection Inca agriculture phylogenetic analysis seed traits