G3 Genes Genomes GeneticsGenomicsPeer-reviewed journal article
Intraspecies sequence-graph analysis of the Phytophthora theobromicola genome reveals a dynamic structure and variable effector repertoires
Jadran F. GarcíaiD, Rosa Elia Figueroa-BalderasiD, Alina Sandra PuigiD, Indrani K. BaruahiD, Michael E. H. MatsoniD, Shahin S. AliiD, Bryan A. BaileyiD, Jean‐Philippe MarelliiD, Dario CantùiD
Abstract
Phytophthora theobromicola is an emerging cacao pathogen recently identified in Brazil as an aggressive agent of black pod rot. We generated genome assemblies for two P. theobromicola isolates using long-read sequencing and five additional isolates using short reads. Comparative analysis revealed a genome size and predicted gene content comparable to P. citrophthora, a closely related species with a broad host range that includes both citrus and cacao. An intraspecies sequence-graph analysis revealed a highly dynamic genome structure with high proportion of variable effectors. Syntenic orthology analysis across 13 Phytophthora species identified orthologous gene groups conserved only in cacao pathogens and others specific to P. theobromicola. RxLR effectors and CAZymes were particularly enriched among lineage-specific syntenic groups, with RxLRs preferentially located near transposable elements and within gene-sparse, repeat-rich regions. Transcriptome analysis of infected cacao tissues showed that 88% of predicted effectors were expressed, with pods exhibiting the highest number of upregulated genes. Notably, several RxLRs classified as P. theobromicola-specific syntenic orthologs were highly expressed in infected tissues, suggesting that these lineage-specific effectors may play key roles in host-pathogen interactions unique to cacao. Together, our findings highlight the dynamic architecture and functional plasticity of the P. theobromicola genome, providing foundational insights into its virulence strategies and supporting future studies on host adaptation and effector evolution in emerging cacao pathogens.
- organism: plant (other)
- assay: whole-genome sequencing
- assay: long-read sequencing
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 24th percentile
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