Root-knot nematodes (RKNs; Meloidogyne spp.) are destructive agricultural parasites, but although giant cell formation is required for establishing parasitism, the mechanism of action has not been fully elucidated. Spatial transcriptomics enables precise spatiotemporal analyses of gene expression, facilitating studies of cell heterogeneity. We performed spatial transcriptomic sequencing on Moneymaker tomato root galls caused by M. incognita infection at 3, 5, and 7 days post-inoculation to investigate RKN-induced giant cell formation. Five major cell types were identified; of these, giant cell clusters were localized predominantly in the xylem, stele, and meristem. Four novel giant cell-specific marker genes were confirmed through RNA in situ hybridization. Pseudotime analysis revealed genes potentially associated with giant cell formation. Virus-induced gene silencing (VIGS) of four genes encoding a cyclin-dependent kinase, two cell division cycle-associated proteins, and a MYB3R-1-like transcription factor—hypothesized to maintain the cell cycle or gene expression during mitosis—resulted in significantly fewer galls and significantly smaller giant cells. This study established the first spatiotemporal atlas of RKN-infected tomato roots and identified genes associated with giant cell formation, laying a foundation for further research on the establishment of RKN feeding sites, providing novel insights into RKN pathogenic mechanisms, and potentially guiding novel control strategies.
Lijun Jiang, Dan Chen, Qianqian Shi et al.· Molecular Horticulture· 0 citations
INTRODUCTION
Magnaporthe oryzaeis a model pathogenic fungus that causes serious disease in the two most important staple crops, rice and wheat. Elucidating the genetic variation within natural populations ofM. oryzaeand identifying genes involved in pathogenicity and environmental adaptation are essential for sustainable disease control.
OBJECTIVES
This study aimed to elucidate the mechanisms underlying genomic variation within the M. oryzae population and to develop a novel GWAS method specifically tailored to this species.
METHODS
The genomes ofM. oryzaediversity population 1 (MDP1), comprising 118 strains, were sequenced andde novoassembled. In addition, a novel gene-unit GWAS (GU-GWAS) method was developed to identify associated loci.
RESULTS
Phylogenetic analyses revealed three subgroups among the sequenced strains, which were associated with indica and japonica rice differentiation. We also characterized core and accessory genes in theM. oryzaepopulation through pan-genome analysis. Using GU-GWAS followed by functional validation, we cloned three new genes associated with pathogenesis (SPP1), fungicide tolerance (MoFCS1), and heavy metal tolerance (MoHMT1).
CONCLUSION
This study provides new insights into the pangenome ofM. oryzaeand introduces a method for the identification of functionally important genes in fungal species.
Yi Wang, Qi Wu, Jinbin Li et al.· Journal of Advanced Research· 0 citations