Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution.

Area of Science:

• Genomics
• Bioinformatics
• Plant Science

Background:

• High-throughput sequencing and phenotyping generate numerous candidate genes, but validation and interpretation lag behind.
• Analyzing gene sets for biological similarities, often using Gene Ontology, aids interpretation.
• Medical Subject Headings (MeSH) offer an alternative resource for evaluating gene sets.

Purpose of the Study:

• To demonstrate the utility of MeSH terms for biological interpretation in maize genomics.
• To provide a method for leveraging MeSH terms to accelerate gene validation and functional analysis in crops.

Main Methods:

• Utilized MeSH terms, assigned by the National Library of Medicine to PubMed articles, for gene annotation.
• Mapped MeSH terms to genes within five maize datasets.
• Evaluated MeSH term enrichment and similarity within gene sets to derive biological insights.

Main Results:

• Successfully mapped MeSH terms to maize genes, enabling new annotations.
• Demonstrated that MeSH term analysis provides valuable biological insights into gene sets.
• Showcased the applicability of MeSH analysis across multiple maize genomic datasets.

Conclusions:

• MeSH terms are an effective tool for generating hypotheses and making biological interpretations in maize.
• The developed pipeline facilitates the use of MeSH terms for gene interpretation in maize and other plant species.
• This approach enhances the interpretation of genomic data in crop research.