Abstract
Introduction
The accurate prediction and annotation of gene structures from the genome sequence of an organism enable genome-wide functional analyses to obtain insight into the biological properties of an organism.
Objectives
We recently developed a highly accurate filamentous fungal gene prediction pipeline and web platform called TaF. TaF is a homology-based gene predictor employing large-scale taxonomic profiling to search for close relatives in genome queries.
Methods
TaF pipeline consists of four processing steps; (1) taxonomic profiling to search for close relatives to query, (2) generation of hints for determining exon–intron boundaries from orthologous protein sequence data of the profiled species, (3) gene prediction by combination of ab inito and evidence-based prediction methods, and (4) homology search for gene models.
Results
TaF generates extrinsic evidence that suggests possible exon–intron boundaries based on orthologous protein sequence data, thus reducing false-positive predictions of gene structure based on distantly related orthologs data. In particular, the gene prediction method using taxonomic profiling shows very high accuracy, including high sensitivity and specificity for gene models, suggesting a new approach for homology-based gene prediction from newly sequenced or uncharacterized fungal genomes, with the potential to improve the quality of gene prediction.
Conclusion
TaF will be a useful tool for fungal genome-wide analyses, including the identification of targeted genes associated with a trait, transcriptome profiling, comparative genomics, and evolutionary analysis.
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Acknowledgements
This work was supported by the Strategic Initiative for Microbiomes in Agriculture and Food (Grant no. 914008-04) and by the Golden Seed Project (Grant no. 213007-05-1-SBH20) of the Ministry of Agriculture, Food and Rural Affairs of the Republic of Korea.
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SGP, DR, and HL developed the TaF server, evaluated the accuracy of gene prediction, and drafted the paper. HR and YJA performed the RNA isoform sequencing and gene prediction for L. edodes. JK and CPH conceived the study, participated in its design and coordination, and drafted the manuscript. All the authors read and approved the final manuscript.
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Sin-Gi Park, DongSung Ryu, Hyunsung Lee, Hojin Ryu, Yong Ju Ahn, Seung il Yoo, Junsu Ko, and Chang Pyo Hong declare that they do not have conflict of interest.
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Park, SG., Ryu, D., Lee, H. et al. TaF: a web platform for taxonomic profile-based fungal gene prediction. Genes Genom 41, 337–342 (2019). https://doi.org/10.1007/s13258-018-0766-1
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DOI: https://doi.org/10.1007/s13258-018-0766-1