Genic Molecular Markers in Fungi: Availability and Utility for Bioprospection

Characterization and development of transcriptome-derived novel EST-SSR markers to assess genetic diversity in Chaetomium globosum

Chaetomium globosum Kunze, an internationally recognized biocontrol fungus. It mycoparasitizes various plant pathogens and produce antifungal metabolites to suppress the growth of pathogenic fungi. Lack of detailed genome level diversity studies has delimited the development and utilization of potential C. globosum strains. The present study was taken to reveal the distribution, identification, and characterization of expressed sequence tag-simple sequence repeats (EST-SSRs) in C. globosum. RNA-Seq experiment was performed for C. globosum potential isolate Cg2 (AY429049) using Illumina HiSeq 2500. Reference-guided de novo assembly yielded 45,582 transcripts containing 27,957 unigenes. We generated a new set of 8485 EST-SSR markers distributed in 5908 unigene sequences with one SSR locus distribution density per 6.1 kb. Six distinct classes of SSR repeat motifs were identified. The most abundant were mononucleotide repeats (51.67%), followed by tri-nucleotides (36.61%). Out of 5034 EST-SSR primers, 50 primer pairs were selected and validated for the polymorphic study of 15 C. globosum isolates. Twenty-two SSR markers showed average genetic polymorphism among C. globosum isolates. The number of alleles (Na) per marker ranges from 2 to 4, with a total of 74 alleles detected for 22 markers with a mean polymorphism information content (PIC) value of 0.4. UPGMA hierarchical clustering analysis generated three main clusters of C. globosum isolates and exhibited a lower similarity index range from 0.59 to 0.85. Thus, the newly developed EST-SSR markers could replace traditional methods for determining diversity. The study will also enhance the genomic research in C. globosum to explore its biocontrol potential against phytopathogens.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-023-03794-7.

Towards Improved Detection and Identification of Rust Fungal Pathogens in Environmental Samples Using a Metabarcoding Approach

The dispersion of fungal inocula such as the airborne spores of rust fungi (Pucciniales) can be monitored through metabarcoding of the internal transcribed spacer 2 (ITS2) of the rRNA gene in environmental DNAs. This method is largely dependent on a high-quality reference database (refDB) and primers with proper taxonomic coverage and specificity. For this study, a curated ITS2 reference database (named CR-ITS2-refDB) comprising representatives of the major cereal rust fungi and phylogenetically related species was compiled. Interspecific and intraspecific variation analyses suggested that the ITS2 region had reasonable discriminating power for the majority of the Puccinia species or species complexes in the database. In silico evaluation of nine forward and seven reverse ITS2 primers, including three newly designed, revealed marked variation in DNA amplification efficiency for the rusts. We validated the theoretical assessment of rust-enhanced (Rust2inv/ITS4var_H) and universal fungal (ITS9F/ITS4) ITS2 primer pairs by profiling the airborne rust fungal communities from environmental samples via a metabarcoding approach. Species- or subspecies-level identification of the rusts was improved by use of CR-ITS2-refDB and the Automated Oligonucleotide Design Pipeline (AODP), which identified all mutations distinguishing highly conserved DNA markers between close relatives. A generic bioinformatics pipeline was developed, including all steps used in this study from in silico evaluation of primers to accurate identification of short metabarcodes at the level of interest for defining phytopathogens. The results highlight the importance of primer selection, refDBs that are resolved to reflect phylogenetic relationships, and the use of AODP for improving the reliability of metabarcoding in phytopathogen biosurveillance.