Evidence map›Paper›PMID 40717072›Full record

ArticleBMC genomics2025

Integrated genome and transcriptome analysis reveals pathogenic mechanisms of Calonectria eucalypti in Eucalyptus leaf blight.

QianLi Liu, GuoQing Li, YuHua Liang, Yan Lin, KaiDong Liu, ZhenChi Huang, ShanNi Cao, FeiFei Liu

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

QianLi LiuLife Science and Technology School, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
GuoQing LiResearch Institute of Fast-growing Trees (RIFT), Chinese Academy of Forestry (CAF), Zhanjiang, Guangdong, 524022, China.
YuHua LiangResearch Institute of Fast-growing Trees (RIFT), Chinese Academy of Forestry (CAF), Zhanjiang, Guangdong, 524022, China.
Yan LinResearch Institute of Fast-growing Trees (RIFT), Chinese Academy of Forestry (CAF), Zhanjiang, Guangdong, 524022, China.
KaiDong LiuLife Science and Technology School, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
ZhenChi HuangLife Science and Technology School, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
ShanNi CaoLife Science and Technology School, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
FeiFei LiuResearch Institute of Fast-growing Trees (RIFT), Chinese Academy of Forestry (CAF), Zhanjiang, Guangdong, 524022, China. shelleyfei@163.com.

Funding

Scientific research team project of Lingnan Normal University LT2201the 2024 Provincial Sci-Tech Innovation Strategy Fund ("Bai-Qian-Wan Project" Technology Support Initiative) 2024E03005the Fundamental Research Funds for the Central Non-Profit Research Institution of CAF, China CAFYBB2023MB033the GuangDong Engineering Technology Research Center of Tropical Characteristic Plant Resource Development ZWZX2401001the School-level Talents Project of Lingnan Normal University ZL2414
6 · The paper itself

Abstract

backgroundCalonectria eucalypti is a destructive fungal pathogen causing Eucalyptus leaf blight in China and Indonesia. Despite its ecological and economic impact, the molecular mechanisms underlying its pathogenicity remain largely unexplored.

resultsWe assembled a high-quality 62.1 Mb genome of C. eucalypti comprising 19 contigs and 13,112 predicted genes, including 1,006 carbohydrate-active enzymes (CAZymes), 351 candidate effectors, and 90 secondary metabolite biosynthetic gene clusters (SMGCs). Comparative genomics revealed 60 expanded gene families and eight species-specific clusters in C. eucalypti, predominantly enriched in virulence-associated functions such as transferase activity, sporulation, and host adhesion. Time-course transcriptome profiling during infection of Eucalyptus urophylla × E. tereticornis EC254 at 12, 24, 48, and 72 h post-inoculation (hpi) identified 708 CAZyme genes, 188 putative effectors, and 68 SMGCs as differentially expressed, exhibiting stage-specific patterns related to fungal penetration, host cell wall degradation, immune suppression, and nutrient acquisition. Notably, glycoside hydrolases (GHs) were the most abundantly induced CAZyme family, suggesting a central role in degrading host cell wall components. Prioritized gene candidates, such as GH28 polygalacturonase A08104 and effectors A12658 and A12266, showed strong homology to known virulence factors and high expression during host colonization. Moreover, most SMGCs were located in transposable element (TE)-rich regions, supporting a "two-speed" genome architecture that may facilitates adaptive evolution and pathogenic innovation.

conclusionsThis study provides the first integrative genome and infection-stage transcriptome map of C. eucalypti, revealing a coordinated, stage-specific deployment of pathogenicity-related gene clusters. These findings provide a foundational resource for understanding fungal virulence and developing targeted strategies to manage Eucalyptus leaf blight.

Indexed as

AscomycotaEucalyptusGene Expression ProfilingGenome, FungalGenomicsPlant DiseasesTranscriptomeFungal ProteinsGene Expression Regulation, FungalMultigene FamilyPhylogenyPlant LeavesVirulenceFungal ProteinsCalonectria eucalyptiComparative genomicsEucalyptus leaf blightPathogen-host interactionPathogenicity-related genesTranscriptome profiling

Identifiers

PMID40717072
PMCPMC12302842

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.