TGP-WEB: A Server for Automatic Gene Prediction of <i>Trichoderma</i> Genomes

<i>Trichoderma</i> Gene Prediction Web server (TGP-WEB) is designed for accurate gene prediction in genomes of <i>Trichoderma</i> species, the biological control agents and the plant-beneficial microorganisms. It employs a hybrid gene prediction strategy, combining <i>ab initio</i> (Augustus and GeneMark) and homology-based (Braker utilizing fungal protein sequences from NCBI Refseq database) methods. Predictions are integrated and prioritized using a ranking framework, followed by functional assessment via domain annotation. After uploading a single-genome FASTA file, users can download TGP-WEB prediction results (including GFF3 files with gene locations, and FASTA files for both the predicted nucleotide and amino acid sequences) within ~4 hours. TGP-WEB demonstrates high accuracy in gene prediction across 177 genomes. When benchmarked against 42 published genomes with annotated gene sets available on NCBI, it recovers more than 90.00% of reported genes in 37 (88.00%) genomes. For 135 previously unannotated genomes, TGP-WEB generates complete gene sets, now available on the web server. BUSCO evaluation shows greater than 97.00% completeness for 94.92% (168/177) of genomes. TGP-WEB predictions enable the identification of 2100 single-copy genes from <i>Trichoderma</i> genomes. These genes are used to construct a robust phylogenetic tree, which clarifies the taxonomy of 49 strains. The robust performance of TGP-WEB prediction will contribute to the increasing studies of <i>Trichoderma</i> genomes, and it is freely available from www.fungalgenomics.cn/geneprediction.

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Publication Details

Journal
Phytopathology
Published
2026-02-01
DOI
https://doi.org/10.1094/phyto-12-25-0399-r
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
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article

TGP-WEB: A Server for Automatic Gene Prediction of Trichoderma Genomes

Housong Cui, Renlan Yan, Bao Wang, Song Yu et al.
Phytopathology
Genomics and Phylogenetic Studies
article

TGP-WEB: A Server for Automatic Gene Prediction of Trichoderma Genomes

Housong Cui, Renlan Yan, Bao Wang, Song Yu, Runmao Lin, Li Zhang, Tong Liu
article en

Abstract

<i>Trichoderma</i> Gene Prediction Web server (TGP-WEB) is designed for accurate gene prediction in genomes of <i>Trichoderma</i> species, the biological control agents and the plant-beneficial microorganisms. It employs a hybrid gene prediction strategy, combining <i>ab initio</i> (Augustus and GeneMark) and homology-based (Braker utilizing fungal protein sequences from NCBI Refseq database) methods. Predictions are integrated and prioritized using a ranking framework, followed by functional assessment via domain annotation. After uploading a single-genome FASTA file, users can download TGP-WEB prediction results (including GFF3 files with gene locations, and FASTA files for both the predicted nucleotide and amino acid sequences) within ~4 hours. TGP-WEB demonstrates high accuracy in gene prediction across 177 genomes. When benchmarked against 42 published genomes with annotated gene sets available on NCBI, it recovers more than 90.00% of reported genes in 37 (88.00%) genomes. For 135 previously unannotated genomes, TGP-WEB generates complete gene sets, now available on the web server. BUSCO evaluation shows greater than 97.00% completeness for 94.92% (168/177) of genomes. TGP-WEB predictions enable the identification of 2100 single-copy genes from <i>Trichoderma</i> genomes. These genes are used to construct a robust phylogenetic tree, which clarifies the taxonomy of 49 strains. The robust performance of TGP-WEB prediction will contribute to the increasing studies of <i>Trichoderma</i> genomes, and it is freely available from www.fungalgenomics.cn/geneprediction.

Phytopathology
Hainan University (CN)
Openalex Percentile: Top 71%
Genomics and Phylogenetic Studies
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