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Split Green Fluorescent Protein System to Visualize Effectors Delivered from Bacteria During Infection
Published on: May 24, 2018
Describing commonalities in microbial effector delivery using the Gene Ontology
Marcus C Chibucos1, Tsai-Tien Tseng, João C Setubal
1Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
Microbes deliver effector molecules to hosts using diverse mechanisms. Gene Ontology (GO) aids comparative genomics by revealing conserved effector delivery strategies across species.
Area of Science:
- Microbiology
- Genomics
- Evolutionary Biology
Background:
- Symbiotic microbes, both mutualistic and pathogenic, deliver effector molecules into host cells to aid colonization.
- Diverse organisms have evolved analogous structures and processes for effector delivery, including syringe-like injection and specialized intercellular structures.
Purpose of the Study:
- To introduce the Gene Ontology (GO) as a tool for comparative genomics.
- To summarize and compare effector delivery mechanisms across various taxa.
- To demonstrate how GO annotations can uncover evolutionary similarities in effector delivery.
Main Methods:
- Literature review and comparison of effector delivery mechanisms in bacteria, nematodes, oomycetes, protozoans, and fungi.
- Introduction to the Gene Ontology (GO) and its application in functional annotation.
- Analysis of GO annotations to identify conserved patterns in effector delivery.
Main Results:
- Effector delivery mechanisms, despite variations, share underlying functional similarities.
- GO facilitates the identification of these conserved strategies across evolutionarily distant organisms.
- Comparative analysis using GO highlights conserved host-targeting signals and injection systems.
Conclusions:
- Gene Ontology provides a standardized framework for understanding conserved microbial effector delivery mechanisms.
- Comparative genomics using GO can reveal hidden evolutionary relationships in host-microbe interactions.
- Standardized annotation with GO enhances our ability to study the evolution of colonization strategies.
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