A Primer and Guidelines for Shotgun Proteomic Analysis in Non-model Organisms

Area of Science:

• Proteomics
• Genomics
• Bioinformatics

Background:

• Advances in mass spectrometry enable high-throughput proteomics, primarily for model organisms with extensive public databases.
• Many ecologically and biotechnologically relevant organisms lack sufficient genomic and proteomic data in public repositories.
• Proteogenomic approaches integrating multi-omic data are crucial for studying these underrepresented species.

Purpose of the Study:

• To provide detailed procedures for shotgun quantitative proteomic experiments in non-model organisms.
• To outline methods for both label-free and isobaric labeling quantitative approaches.
• To highlight key considerations for experimental design and data analysis in proteogenomics.

Main Methods:

• Shotgun quantitative proteomics utilizing mass spectrometry.
• Proteogenomic analysis integrating genomic and proteomic datasets.
• Application of label-free and isobaric labeling quantification strategies.

Main Results:

• Detailed protocols for conducting shotgun quantitative proteomic experiments in non-model organisms.
• Emphasis on experimental design and data analysis strategies tailored for proteogenomics.
• Facilitation of proteomic research on organisms with limited existing database information.

Conclusions:

• Proteogenomic strategies are powerful for shotgun quantitative proteomics in non-model organisms.
• The provided procedures enable robust protein identification and quantification for underrepresented species.
• This work supports broader ecological, biotechnological, and evolutionary research through enhanced proteomic capabilities.