Skip to content
DraconiticResearch
Search Sources API
182,544 studies31 sourcesUpdated 12 min ago
Peer-reviewedCC BY 4.0Scientific Reports

Integrating transcriptomics and network biology to identify candidate genes against Conopomorpha cramerella in Theobroma cacao

Abstract

Cocoa pods suffer significant damage from the cocoa pod borer (CPB, Conopomorpha cramerella ), a major pest affecting cocoa ( Theobroma cacao ) crops in Southeast Asia, severely diminishing yield. The mechanisms underlying the genetic resistance of cocoa varieties to this pest are not yet fully elucidated. This study aims to identify key candidate genes associated with cocoa responses to CPB infestation through an integrative approach combining de novo transcriptomic profiling and gene co-expression network analysis to evaluate the genetic basis of CPB resistance in two contrasting T. cacao cultivars: KKM22 (CPB-moderately resistant; ADSI = 1.45) and PBC123 (CPB-susceptible; ADSI = 2.98). The de novo sequencing of husks and pulps from control and CPB-infested plants produced 70,073 transcripts. Functional annotation identified genes in diverse biological processes and pathway-related categories. For WGCNA, gene-level expression data were used following low-expression filtering and variance-stabilizing transformation (VST). Co-expression analysis identified 32 modules, from which key modules were prioritized based on module size, eigengene expression patterns, and functional enrichment. bisque4 was associated with cell-wall-related functions, including plant-type secondary cell wall biogenesis, while chocolate4 showed enrichment of defense-associated functions. Network analysis further identified highly connected genes within these key modules as candidate genes associated with the cocoa response to CPB infestation. These findings provide an exploratory framework for understanding tissue and cultivar-associated transcriptional responses to CPB and for prioritizing candidate genes for future functional validation.

Related

  1. Integrating GWAS and transcriptomics to identify candidate genes associated with the crest trait in Yongshun crested duck
    Weican Wan, Chuang Li, Xu He +7
    Poultry SciencePeer-reviewedCC BY-NC-ND 4.0Full textGenetics & genomicsPMC
  2. MSIPep: A pipeline for immunogenic peptide identification and prioritization integrating immunopeptidomics and transcriptomics data
    Peng Liu, Siwen Zhang, Manman Lu +6
    BMC GenomicsPeer-reviewedCC BY-NC-ND 4.0Genetics & genomicsCrossref
  3. Integrating Host Transcriptomics and Metagenomics in the Periparturient Dairy Cow: From Molecular Signatures to Host-Microbiome Interfaces.
    Qingshan Ma, Mohamed Tharwat, Abd Ullah +3
    Veterinary sciencesPeer-reviewedCC BYFull textPlant biologyEurope PMC
  4. Integrative transcriptomics identifies an 18-gene candidate blood-accessible biomarker panel for longitudinal monitoring of spaceflight-induced muscle atrophy
    Jae Ho Shim, Ji Yeon Lee, Jihye Han +1
    PLOS OnePeer-reviewedCC BY 4.0Full textBioinformatics & computational biologyStatisticsPLOS
  5. Integrating Orthology and Cross-Species Transcriptomics to Unravel Root Drought Responses in Faba Bean and Maize
    K. Arslan, D. van Dusschoten, A. Golicz +1
    bioRxivPreprintCC BY-NC-NDFull textPlant biologybioRxiv
BibTeX
@article{akram2026integrating,
  title = {{Integrating transcriptomics and network biology to identify candidate genes against Conopomorpha cramerella in Theobroma cacao}},
  author = {Seemab Akram and Vinothienii Vengatharajuloo and Nor Azlan Nor Muhammad and Maizom Hassan and Roslina Mohd Shah and Mohd Zulhilmi Abdul Rahman and Hoe-Han Goh and Zeti-Azura Mohamed-Hussein and Sarahani Harun},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76739-8},
  url = {https://www.nature.com/articles/s41598-026-76739-8},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Integrating transcriptomics and network biology to identify candidate genes against Conopomorpha cramerella in Theobroma cacao
AU  - Seemab Akram
AU  - Vinothienii Vengatharajuloo
AU  - Nor Azlan Nor Muhammad
AU  - Maizom Hassan
AU  - Roslina Mohd Shah
AU  - Mohd Zulhilmi Abdul Rahman
AU  - Hoe-Han Goh
AU  - Zeti-Azura Mohamed-Hussein
AU  - Sarahani Harun
PY  - 2026
DA  - 2026/10/21
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76739-8
UR  - https://www.nature.com/articles/s41598-026-76739-8
AB  - Cocoa pods suffer significant damage from the cocoa pod borer (CPB, Conopomorpha cramerella ), a major pest affecting cocoa ( Theobroma cacao ) crops in Southeast Asia, severely diminishing yield. The mechanisms underlying the genetic resistance of cocoa varieties to this pest are not yet fully elucidated. This study aims to identify key candidate genes associated with cocoa responses to CPB infestation through an integrative approach combining de novo transcriptomic profiling and gene co-expression network analysis to evaluate the genetic basis of CPB resistance in two contrasting T. cacao cultivars: KKM22 (CPB-moderately resistant; ADSI = 1.45) and PBC123 (CPB-susceptible; ADSI = 2.98). The de novo sequencing of husks and pulps from control and CPB-infested plants produced 70,073 transcripts. Functional annotation identified genes in diverse biological processes and pathway-related categories. For WGCNA, gene-level expression data were used following low-expression filtering and variance-stabilizing transformation (VST). Co-expression analysis identified 32 modules, from which key modules were prioritized based on module size, eigengene expression patterns, and functional enrichment. bisque4 was associated with cell-wall-related functions, including plant-type secondary cell wall biogenesis, while chocolate4 showed enrichment of defense-associated functions. Network analysis further identified highly connected genes within these key modules as candidate genes associated with the cocoa response to CPB infestation. These findings provide an exploratory framework for understanding tissue and cultivar-associated transcriptional responses to CPB and for prioritizing candidate genes for future functional validation.
SN  - 2045-2322
ER  -