DOI: 10.1094/mpmi-07-26-0067-irw ISSN: 0894-0282

Lasiodiplodia theobromae as a Model Latent Pathogen: Molecular Mechanisms, Global Impact, and Sustainable Management

Synan F. AbuQamar, Arshiya Akbar, Gouthaman P. Purayil, Khaled A. El-Tarabily

Lasiodiplodia theobromae (Botryosphaeriaceae) is a cosmopolitan ascomycete that endophytically colonizes over 500 plant species and switches to necrotrophy under host stress. In mango ( Mangifera indica), it causes stem-end rot, dieback, gummosis, and collar rot, driving substantial pre- and postharvest losses worldwide. This review integrates five thematic areas: (i) multilocus phylogenetics ( ITS,  tef1-α,  tub2, and  rpb2) resolving cryptic species within the  L. theobromae species complex; (ii) disease epidemiology centered on latent colonization of inflorescences and stress-triggered activation; (iii) molecular pathogenicity mechanisms, including secreted effectors, cell wall-degrading enzymes, fungal phytohormones, and regulatory small RNAs; (iv) multi-omics advances revealing expanded CAZyme and secondary metabolite biosynthetic gene clusters, plus emerging multi-class fungicide resistance (MBC, QoI, and DMI) driven by β -tubulin mutations, alternative oxidase upregulation, and  CYP51 overexpression; and (v) sustainable biological control using  Streptomyces,  Bacillus, and  Trichoderma strains, alongside host priming with hexanal or methyl jasmonate. We propose a testable model wherein environmental triggers (temperature and drought) and host hormone balance (ethylene and jasmonic acid–salicylic acid crosstalk) converge temperature-regulated virulence gene expression to govern the endophyte-to-necrotroph transition. Critical gaps include the limited genomic resources for mango-derived isolates, infection-stage dual RNA-seq, population genetics, and climate-informed epidemiological models. Future directions encompass CRISPR-enabled susceptibility gene editing, RNAi biocontrol, and integrated pest management tailored to this latent pathogen.

[Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .