DE NOVO AND BY HOMOLOGY PREDICTION OF TRNA GENES OF THE MITOCHONDRION OF THE MYCOPARASITIC FUNGUS TRICHODERMA KONINGIOPSIS

CASTRILLO, ML; BICH, GA; ZAPATA, PD; SAPARRAT, MCN; VILLALBA, LL

Modalidad virtual

Congreso; 1st Latin American Congress of Women in Bioinformatics and Data Science 2020; 2020

Trichoderma species are common soil-borne fungi. In integrated pest management, many species of this genus are economically important, in part because of their mycoparasitic ability, which makes them suitable for application as biocontrol agents against soil-borne plant-pathogenic fungi. However, little is known about the genome of many species of this genus. T. koningiopsis genome was recently reported but the information about the genes located in their mitochondrion is still scarce. Mitochondria are key organelles for the life of eukaryotic cells, and mitochondrial gene rearrangements and the secondary structure of their tRNAs can also potentially useful for inferring phylogenetic relationships. The aim of this work was to predict the tRNA genes available in the mitochondrion genome of the mycoparasitic fungus T. koningiopsis POS7. Complete mitochondrial sequences of Trichoderma were retrieved from National Center for Biotechnology Information (NCBI) database. First, examination of the presence of tRNA-like sequences was searching by homology to tRNA genes from other mitogenomes reported of Trichoderma genus. The de novo prediction was performed by the tRNAScan online software. BLAST online service of the NCBI was used for the analysis of the tRNA genes sequences predicted from the mitochondrion of T. koningiopsis POS7. The size of the mitochondrial genome of T. koningiopsis was of 27,560 bp, with a 27.7% GC content, a circular shape, and the sequence analysis revealed that it contained 26 tRNA genes (6,79% of the total sequence length). These tRNA genes were found on the sense strand. Some transfer genes were duplicated (trnR, trnL, and trnF) and trnM was found to be triplicated. There was a high correlation between de novo and by homology prediction. This information will help to understand the biology of this fungus native from Argentina.