Libre Biotech

Decoding DNA Methylation Dynamics in the Cotton Bollworm (Helicoverpa armigera)

Capstone students (2025) · Active · Created 2025-07-11

0
Decoding DNA Methylation Dynamics in the Cotton Bollworm (Helicoverpa armigera)

Helicoverpa armigera is a globally significant, polyphagous pest responsible for multi-billion-dollar crop losses each year. Emerging evidence suggests that DNA methylation modulates gene expression throughout its life cycle, yet stage-specific methylation patterns remain largely uncharted. In this project you will extract genomic DNA from larval, pupal and adult Helicoverpa tissues, subject it to sodium-bisulphite conversion, and PCR-amplify regions previously shown to be methylated. Amplicons will be sequenced on an Illumina MiSeq, generating deep-coverage methylation profiles of targeted loci. By comparing life-stage-specific methylation signatures, you will uncover how epigenetic regulation underpins development in this notorious pest. Mapping methylation dynamics across life stages will shed light on the molecular switches that enable H. armigera to thrive on diverse crops and rapidly evolve resistance to control measures. Potentially, these insights can inform next-generation, epigenetics-aware pest-management strategies and identify potential biomarkers for early surveillance. Required Skills: Solid grounding in molecular biology techniques (DNA extraction, bisulphite treatment, PCR. Willingness to use software such as R (or Python) to analyse large sequencing datasets and visualise methylation patterns.

Publications

No publications yet.

Active Pipelines 7 failed
#58 JBrowse Track Generation Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#57 JBrowse Track Generation Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#34 ONT Long-Read Transcriptomics (IsoQuant) Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#33 ONT Long-Read Transcriptomics (IsoQuant) Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#32 ONT Long-Read Transcriptomics (IsoQuant) Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#30 ONT Long-Read Transcriptomics (IsoQuant) Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
#29 ONT Long-Read Transcriptomics (IsoQuant) Tissue-specific long-read transcriptome profiling of Helicoverpa armigera pupa failed
Details
Visibility
Public
License
CC-BY-4.0
Group
Capstone students (2025)
Statistics
Studies
3
Processes
13
Samples
0
Publications
0
FAIR Score 60% — Fair
F — Findable 50%
A — Accessible 75%
I — Interoperable 50%
R — Reusable 65%

8 suggestions to improve
  • FAdd a DOI for persistent identification
  • FAdd investigation contacts with ORCID
  • FLink related publications
  • ASet a submission date
  • ASet a public release date for planned access
  • ...and 3 more
AI-Ready Score 42% — Needs work
Machine-Readable Formats 12/12
Structured Metadata 0/12
Data Provenance 4/12
Standard File Formats 0/12
Reproducibility 13/13
Quantitative Measurements 0/13
Consistent Labeling 0/12
API Accessibility 13/13

6 suggestions to improve
  • MetadataAdd ontology annotations to samples for structured metadata
  • MetadataDefine study factors (e.g. genotype, treatment) for ML feature extraction
  • ProvenanceAdd sample lineage (process_input_samples links) for provenance tracking
  • FilesAttach standard format files (FASTQ, BAM, CSV, GFF3, VCF, BED) to processes
  • MeasurementsRecord measurements with UO unit ontology terms for quantitative ML features
  • ...and 1 more
Comments
Comments 0

No comments yet.