A clubroot pathogen PBS3-like effector manipulates hormonal crosstalk to alter root morphology during colonization

Gonzalez-Garcia, M.; Wu, J.; Silvestre-Vano, M.; Mukhopadhyay, S.; Fantino, E. I.; Malinowski, R.; Stefanowicz, K.; Major, I.; Perez-Lopez, E.

doi:10.64898/2026.03.10.710858

bioRxiv · 10.64898/2026.03.10.710858

A clubroot pathogen PBS3-like effector manipulates hormonal crosstalk to alter root morphology during colonization

Gonzalez-Garcia, M.·Wu, J.·Silvestre-Vano, M.·Mukhopadhyay, S.·Fantino, E. I.·Malinowski, R.·Stefanowicz, K.·Major, I.·Perez-Lopez, E.

View original source ↗Export metadata ↓

Abstract

O_LISalicylic acid (SA) and auxin are key regulators of plant immunity and development. The clubroot pathogen Plasmodiophora brassicae encodes PbGH3, an effector related to the GH3 family involved in phytohormone homeostasis. Although PbGH3 was proposed to conjugate auxin in vitro, its biological function in planta has remained unclear. This study aimed to determine the in vivo role of PbGH3 during host colonization. C_LIO_LIWe generated Arabidopsis thaliana and Brassica napus lines overexpressing PbGH3 and characterized their developmental phenotypes, hormone profiles, gene expression, and susceptibility to infection. Structural modeling was performed to assess PbGH3 similarity to plant GH3 proteins, and functional complementation was tested using the Arabidopsis gh3.12 mutant. C_LIO_LIThe expression of PbGH3 in Arabidopsis induced auxin-related developmental phenotypes without detectable accumulation of auxin conjugates. Instead, PbGH3 structurally and functionally resembled GH3.12/PBS3 inducing increased conjugated SA levels, reduced jasmonic acid, suppressed PIN2 expression, and increased root hair number and infection. PbGH3 complemented SA-related defects in the gh3.12 mutant. C_LIO_LIPbGH3 functions as a modulator of SA metabolism rather than an auxin-conjugating enzyme, likely competing with host GH3.12/PBS3 to constrain effective SA accumulation. This reveals a novel strategy by which P. brassicae disrupts SA-auxin homeostasis to promote host colonization and ensure disease development. C_LI PLAIN LANGUAGE SUMMARYThis study shows that the clubroot pathogen uses a protein called PbGH3 to modify the plants salicylic acid balance. This alters root traits and increases susceptibility to infection. Arabidopsis and canola plants engineered to produce PbGH3 showed similar changes, revealing that the pathogen uses this protein to disrupt hormone regulation and create conditions that support its colonization.

Explore related subjects

plant biology Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Gonzalez-Garcia, M., Wu, J., Silvestre-Vano, M., Mukhopadhyay, S., Fantino, E. I., Malinowski, R., Stefanowicz, K., Major, I., Perez-Lopez, E.. 2026-03-13. A clubroot pathogen PBS3-like effector manipulates hormonal crosstalk to alter root morphology during colonization. https://doi.org/10.64898/2026.03.10.710858

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

MpILR1 Hydrolyzes Jasmonate-Amino Acid Conjugates to Activate dn-iso-OPDA Signaling in Marchantia polymorpha.

Jasmonates are essential phytohormones that coordinate defense responses and developmental programs across land plants. In angiosperms, the active jasmonate ligand jasmonoyl-L-isoleucine (JA-Ile), is produced through GH3-mediated conjugation of jasmonic acid to isoleucine and JA-Ile homeostasis is further shaped by ILR1/ILL-family amidohydrolases. In contrast, the primary bioactive jasmonate ligand in bryophytes, dinor-12-oxo-phytodienoic acid (dn-iso-OPDA), is inactivated through conjugation with amino acids, raising the question of whether these conjugates constitute a reversible hormone reservoir or an irreversible catabolic end point. Although the ILR1-like family has been characterized extensively for its role in auxin and jasmonate homeostasis in angiosperms, its function in bryophytes remains basically unexplored. Here we show that MpILR1, the sole Marchantia ortholog of the ILR1/ILL family, hydrolyzes a specific subset of dn-iso-OPDA-amino acid conjugates in vivo. Loss-of-function Mpilr1 mutants exhibit enhanced accumulation of dn-iso-OPDA conjugated to hydrophobic amino acids (Val, Leu and Ile) but not to hydrophilic residues (His, Glu and Gln), demonstrating substrate-selective hydrolysis. MpILR1 hydrolytic activity is required for full dn-iso-OPDA-mediated responses, including transcriptional activation and defense against gastropod herbivory. These findings establish MpILR1 as a key positive regulator of jasmonate signaling in Marchantia polymorpha and suggest that hormone conjugation/deconjugation is an ancient regulatory mechanism evolved during plant terrestrialization.

plant biology↗

bioRxiv2026

Drought-Spec-Net: Early Tomato Drought Detection and Potential Yield-Impact Assessment Using Vis NIR Data

Drought stress significantly reduces tomato (Solanum lycopersicum L.) productivity, and early detection is critical to minimize yield losses through timely interventions. In this study, we developed Drought-Spec-Net, a hybrid 1D convolutional neural network that integrates local and global spectral feature extraction to detect early drought stress from visible and near infrared (Vis NIR) spectra data of tomato seedlings. The model was trained on 378 samples using an 80:20 train test split, with 20% of the training set reserved for validation. DroughtSpecNet outperformed the evaluated baseline and state of the art models, achieving 97% accuracy, 95% precision, 98% recall, and an F1 score of 97%. To improve the agronomic interpretation of the model outputs, predicted drought probabilities were converted into a literature-informed potential yield impact indicator using a maximum impact level of 60%. On the test set (76 samples), mapped potential yield-impact values ranged from 0% to 60%, with an average reduction of 12.97%. We also conducted an initial experiment using our greenhouse RGB dataset, collected daily from drought treated and well-watered tomato plants at West Virginia State University (WVSU). From this dataset, 44 images were selected for ilastik-based canopy segmentation, producing plant-level drought severity indices (DSI) with a mean of 0.28, median of 0.14, and range of 0.01 to 0.91. Additionally, we trained and fine-tuned a large language model (LLM) based on PLLaMA7BInstruct, called AgriLLaMA, for automated agronomic report generation from Drought-Spec-Net outputs. The generated reports summarize predicted stress levels, mapped potential yield impacts, and preliminary management considerations. This integrated approach not only improves early drought stress detection but also delivers quantitative and interpretable estimates of potential productivity losses, providing a complete framework connecting physiological stress detection to actionable agricultural outcomes.

plant biology↗

bioRxiv2026

BSA101: Unlocking Historical Mutant Collections with BSA-Seq

Forward genetics is a powerful approach for gene discovery, but identifying causal mutations becomes difficult when mutants are maintained in heterogeneous populations with uncertain pedigrees. This is exemplified by classical tasselseed (ts) mutants, which have long served as a genetic model for studying sex determination and carpel suppression. Decades of repeated outcrossing to diverse inbred lines have created substantial genetic heterogeneity, limiting the effectiveness of conventional bulked-segregant analysis sequencing (BSA-Seq). To address this, we developed a BSA-Seq framework that integrates flexible experimental designs, multiple reference genomes, and complementary statistical methods tailored for genetically heterogeneous populations. Applying this framework revealed that reference genome selection is critical for mapping success and that Euclidean distance raised to the fourth power (ED4) outperformed homozygosity mapping (HM). Furthermore, the framework enables simultaneous mapping of multiple mutations within a single population, eliminating the need for additional mapping populations. Applying this framework to 26 ts mutant stocks from the Maize Genetics Cooperation Stock Center, we successfully mapped 24 mutants to genomic intervals containing known ts genes, while the remaining mutants mapped to distinct genomic intervals, defining novel candidate regions underlying carpel suppression. Together, these results demonstrate that historical mutant collections represent an underutilized resource for gene discovery and establish a generalizable mapping strategy for unlocking their genetic potential across diverse species.

plant biology↗