New Publication: Host-Microbe Interactions Shape Gene Expression in Stickleback
news
publication
journal article
microbiome
transcriptomics
GBE
Groundbreaking publication in Genome Biology and Evolution reveals asymmetric contributions of host genetics and microbiota to gene expression!
Clay Small, Kathryn Milligan-Myhre, Susan Bassham, Karen Guillemin, and Bill Cresko demonstrate subtle but significant genotype-by-environment interactions between host genetics and the microbiota, affecting expression of genes involved in immunity, coagulation, focal adhesion, and metabolism.
Major Discovery
The research reveals:
- Asymmetric contributions to transcriptional variation
- Host genotype effects dominate overall
- Microbiota influences specific pathways
- G×E interactions shape immune responses
- Complex host-microbe dialogue
Transcriptomic Innovation
Key findings include:
- RNA-seq analysis of gnotobiotic fish
- Pathway-specific expression patterns
- Statistical G×E interactions
- Systems-level understanding
- Novel analytical approaches
Affected Pathways
Microbiota influences:
- Innate immunity responses
- Coagulation cascades
- Complement system
- Focal adhesion pathways
- Cancer-related genes
- Peroxisome function
Gnotobiotic Excellence
This work showcases:
- Controlled microbiome experiments
- Germ-free fish technology
- Precise colonization protocols
- Host-microbe systems biology
- Model organism advantages
Evolutionary Implications
Findings suggest:
- Co-evolution of host and microbes
- Population-specific adaptations
- Microbiome’s role in local adaptation
- Genetic variation in microbe response
- Evolutionary potential of holobiont
Methodological Advances
The study employed:
- Gnotobiotic experimental design
- High-throughput RNA sequencing
- Advanced statistical modeling
- Pathway enrichment analysis
- G×E interaction detection
Biomedical Relevance
Applications include:
- Understanding microbiome health effects
- Personalized medicine approaches
- Host genetic influences on microbiome
- Therapeutic target identification
- Disease susceptibility factors
Systems Biology
This research demonstrates:
- Multi-level biological integration
- Host-microbe network interactions
- Emergent system properties
- Complex trait architecture
- Holobiont perspective