Misannotation Awareness: A Tale of Two Gene-Groups

Area of Science:

• Genomics and Bioinformatics
• Molecular Biology
• Plant Science

Background:

• Increasing volume of sequence data from genomic projects leads to a rise in incorrectly annotated entries in public databases.
• The alternative oxidase (AOX) gene family is frequently subject to misannotation, posing challenges for researchers.
• Distinguishing AOX from the plastid terminal oxidase (PTOX) is often problematic in current databases.

Purpose of the Study:

• To develop a reliable method for distinguishing alternative oxidase (AOX) genes from plastid terminal oxidase (PTOX).
• To re-evaluate and correct misannotations within the plant AOX gene family in public databases.
• To underscore the critical need for improved data annotation practices and awareness of misclassification issues.

Main Methods:

• Screening of common biological databases to assess their ability to differentiate AOX from PTOX.
• Development and application of a novel approach based on unique amino acid signatures for unambiguous AOX gene family identification.
• Comprehensive revision of existing plant AOX sequence data to confirm classifications and identify specific AOX family members.

Main Results:

• A straightforward amino acid signature-based method was established, enabling definitive distinction between AOX and PTOX gene families.
• Re-analysis revealed numerous misclassifications within public plant AOX sequence data.
• The study identified a significant underestimation of available and correctly annotated AOX gene family data.

Conclusions:

• The proposed amino acid signature method offers a robust solution for accurate AOX gene identification.
• There is an urgent requirement for widespread awareness and implementation of re-annotation strategies for public AOX sequences.
• Correcting misannotations is crucial for accurately assessing the true extent of AOX gene family diversity and availability in plants.