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TGP-WEB: A Server for Automatic Gene Prediction of Trichoderma Genomes
Li Zhang1, Housong Cui1, Song Yu1
1Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests, Ministry of Education, Engineering Center of Agricultural Microbial Preparation Research and Development of Hainan, Sanya Institute of Breeding and Multiplication, School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
None:
The Trichoderma Gene Prediction Web server (TGP-WEB) is designed for accurate gene prediction in genomes of Trichoderma species, biological control agents, and plant-beneficial microorganisms. It employs a hybrid gene prediction strategy, combining ab initio (Augustus and GeneMark) and homology-based (Braker utilizing fungal protein sequences from the 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 the predicted nucleotide and amino acid sequences) within approximately 4 h. TGP-WEB demonstrated high accuracy in gene prediction across 177 genomes. When benchmarked against 42 published genomes with annotated gene sets available on NCBI, it recovered more than 90.00% of reported genes in 37 (88.00%) genomes. For 135 previously unannotated genomes, TGP-WEB generated complete gene sets, now available on the web server. BUSCO evaluation showed greater than 97.00% completeness for 94.92% (168/177) of genomes. TGP-WEB predictions enabled the identification of 2,100 single-copy genes from Trichoderma genomes. These genes were 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 Trichoderma genomes, and it is freely available from https://fungalgenomics.cn/geneprediction/.
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