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AI-summarized plant biology research papers from bioRxiv

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Latest 67 Papers

Detection of Mid-parent Heterosis Genes in Large-Scale Unreplicated RNA-Seq Experiments

Authors: Qi, Y., Liu, P.

Date: 2025-12-14 · Version: 1
DOI: 10.64898/2025.12.11.693571

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The authors introduce a two‑stage likelihood ratio test (2sLRT) for identifying mid‑parent heterosis (MPH) genes in unreplicated RNA‑seq experiments, using genes lacking differential expression as pseudo‑replicates to estimate dispersion before applying a negative‑binomial LRT. Simulation results show 2sLRT improves statistical power and false‑discovery rate control, and its application to a maize dataset of 599 families reveals biologically meaningful MPH expression patterns.

mid-parent heterosis RNA-seq two‑stage likelihood ratio test dispersion estimation unreplicated experiments

Genetic Insights from Line x Tester Analysis of Maize Lethal Necrosis Testcrosses for Developing Multi-Stress-Resilient Hybrids in Sub-Saharan Africa

Authors: Gowda, M., Beyene, Y., L.M., S., Ogugo, V., Amadu, M. K., Chaikam, V.

Date: 2025-12-09 · Version: 1
DOI: 10.64898/2025.12.07.692857

Category: Plant Biology

Model Organism: Zea mays

AI Summary

A large-scale study of 437 maize hybrids derived from 38 MLN‑tolerant lines and 29 testers evaluated performance under MLN inoculation, drought stress, and optimal conditions, revealing quantitative inheritance, strong additive effects, and significant genotype‑by‑environment interactions. Superior hybrids combined high grain yield, MLN resistance, and drought tolerance, with general combining ability guiding selection of elite parents for sub‑Saharan Africa.

maize hybrid performance combining ability maize lethal necrosis drought tolerance

A sequence-based classifier distinguishes phenotype-associated genes from other gene models in plants

Authors: Shrestha, N., JI, Z., dai, X., Li, P., Schnable, J. C.

Date: 2025-12-02 · Version: 1
DOI: 10.64898/2025.11.30.691407

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The authors developed a simple classifier that leverages DNA sequence and evolutionary conservation features to predict which plant gene models are likely to influence phenotypes. Trained on genes from Zea mays, the model accurately prioritizes phenotype‑linked genes in rice and Arabidopsis and highlights many uncharacterized gene families with high predicted relevance. These scores provide a useful resource for guiding reverse genetics and accelerating functional annotation in crops.

phenotype-associated genes machine learning classifier sequence and evolutionary features Zea mays gene annotation

Ethylene signal-driven plant-multitrophic synergy boosts crop performance

Authors: Baer, M., Zhong, Y., Yu, B., Tian, T., He, X., Gu, L., Huang, X., Gallina, E., Metzen, I. E., Bucher, M., Song, R., Gutjahr, C., SU, Z., Moya, Y., von Wiren, N., Zhang, L., Yuan, L., Shi, Y., Wang, S., Qi, W., Baer, M., Zhao, Z., Li, C., Li, X., Hochholdinger, F., Yu, P.

Date: 2025-11-29 · Version: 1
DOI: 10.1101/2025.11.28.690471

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study investigated how arbuscular mycorrhizal fungi promote lateral root development in maize by activating ethylene‑responsive transcription factors (ERFs) that drive pericycle cell division and reprogram flavonoid metabolism. It shows that AM fungi reduce flavonol accumulation and that the rhizobacterium Massilia synergizes with AM fungi by degrading flavonoids and producing auxin, forming a tripartite signaling network linking ethylene signaling, flavonoid‑mediated microbial recruitment, and symbiosis.

Zea mays arbuscular mycorrhizal fungi ethylene-responsive transcription factors flavonoid metabolism lateral root development

Gene duplication drove functional divergence of two effectors in the maize anthracnose pathogen

Authors: Garcia-Rodriguez, P., Rodriguez-Monaco, L., Fernandez-Cuevas, F. B., Zambrano, S. D. B., Gutierrez-Sanchez, S., Jerez-Vanegas, A., Rogerio, F., Ortiz-Alvarez, J., Baroncelli, R., Espeso, E. A., Thon, M., Sukno, S. A.

Date: 2025-11-28 · Version: 1
DOI: 10.1101/2025.11.26.690860

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study characterizes CgEP4, a conserved nuclear effector of the maize pathogen Colletotrichum graminicola, showing it arose from an ancient gene duplication and is essential for full virulence, host penetration, and suppression of basal defenses. Deletion of CgEP4 severely reduces pathogenicity, delays fungal entry, increases host papilla formation, and impairs fungal stress tolerance, highlighting its role in host adaptation.

Colletotrichum graminicola CgEP4 nuclear effector virulence Zea mays

Engineering sHsp17 and Hsp90 in Zea mays to Develop Thermotolerance

Authors: Babar, U., Rana, I. A.

Date: 2025-11-28 · Version: 1
DOI: 10.1101/2025.11.26.690697

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study introduced the small heat‑shock protein genes shsp‑17 (from Nicotiana tabacum) and ATHSP‑90 (from Arabidopsis thaliana) into Zea mays to enhance stress tolerance, but while reporter gene expression confirmed successful transformation, the HSP‑90 construct could not be recovered and sHSP‑17 transgenics failed to produce viable T1 progeny, suggesting deleterious effects on embryo survival. The work highlights challenges in engineering maize for combined biotic and abiotic stress resistance under fluctuating temperature conditions in Pakistan.

maize heat shock proteins genetic transformation abiotic stress transgenic plants

KATANIN promotes cell elongation and division to generate proper cell numbers in maize organs

Authors: Martinez, S. E., Lau, K. H., Allsman, L. A., Irahola, C., Habib, C., Diaz, I. Y., Ceballos, I., Panteris, E., Bommert, P., Wright, A. J., Weil, C., Rasmussen, C.

Date: 2025-10-06 · Version: 1
DOI: 10.1101/2025.10.05.680529

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study identifies two maize genes, Discordia3a and Discordia3b, that encode the microtubule‑severing protein KATANIN. Loss‑of‑function alleles reduce microtubule severing, impair cell elongation, delay mitotic entry, and disrupt preprophase band and nuclear positioning, leading to small, misshapen plants.

microtubule severing KATANIN Zea mays cell elongation preprophase band

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. Multi‑omics models, especially those combining genotype and expression data, consistently outperformed single‑omics approaches and enabled cross‑environment predictions, highlighting the role of transcriptomics in capturing G×E effects.

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

Evaluating Field Corn Yield and Plant and Soil Nutrient Concentrations Under Application of Synthetic Fertilizer and Dairy Manure

Authors: Hussain, T., Fraz Ali, M.

Date: 2025-09-29 · Version: 1
DOI: 10.1101/2025.09.28.676050

Category: Plant Biology

Model Organism: Zea mays

AI Summary

A field trial on Adkins fine sandy loam evaluated the effects of dairy manure (5‑15 t acre⁻¹) and synthetic NPK fertilizer on nutrient concentrations in plant tissues and soil, as well as on field corn (Zea mays) yield. Synthetic fertilizer produced the highest yield (45.5 t acre⁻¹) and plant height, while a low manure rate (5 t acre⁻¹) gave better yields than higher manure rates, with limited impact on soil nutrient pools except NH₄⁺‑N. The authors suggest combining synthetic fertilizer with manure for balanced nutrient supply and reduced leaching.

manure synthetic fertilizer corn yield nutrient leaching soil nutrients

Aphid-derived cross-kingdom RNA dynamics underpin maize resistance

Authors: Jiang, S., Zhang, Z., Liu, C., Zhu, Y., Kou, Y., Yang, P., Hu, Z., Wu, J., Wang, Y., Wan, F., Wu, G., Chen, Y.

Date: 2025-09-28 · Version: 1
DOI: 10.1101/2025.09.25.678037

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study identified and functionally characterized long non-coding RNAs from the aphid-specific Ya gene family in two cereal-specialist aphids, showing that these lncRNAs are secreted into maize tissues, remain stable, and move systemically. Silencing Ya genes reduced aphid fecundity, while ectopic expression of Ya lncRNAs in maize promoted aphid colonization, indicating that Ya lncRNAs act as cross-kingdom effectors that enhance aphid virulence and could serve as markers for breeding aphid‑resistant maize.

long non-coding RNAs Ya gene family aphid‑plant interaction cross-kingdom effectors Zea mays
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