Mining and survey of simple sequence repeats in wheat rust Puccinia sp

Comparative Genome-Wide Characterization of Microsatellites in Candida albicans and Candida dubliniensis Leading to the Development of Species-Specific Marker

BACKGROUND

Microsatellites or simple sequence repeats (SSR) are related to genomic structure, function, and certain diseases of taxonomically different organisms.

OBJECTIVE

To characterize microsatellites in two closely related Candida species by searching and comparing 1-6 bp nucleotide motifs and utilizing them to develop species-specific markers.

METHODS

Whole-genome sequence was downloaded from the public domain, microsatellites were mined and analyzed, and primers were synthesized.

RESULTS

A total of 15,821 and 7,868 microsatellites, with mono-nucleotides (8,679) and trinucleotides (3,156) as most frequent microsatellites, were mined in Candida dubliniensis and Candida albicans, respectively. Chromosome size was found positively correlated with microsatellite number in both the species, whereas it was negatively correlated with the relative abundance and density of microsatellites. A number of unique motifs were also found in both the species. Overall, microsatellite frequencies of each chromosome in C. dubliniensis were higher than in C. albicans.

CONCLUSION

The features of microsatellite distribution in the two species' genomes revealed that it is probably not conserved in the genus Candida. Data generated in this article could be used for comparative genome mapping and understanding the distribution of microsatellites and genome structure between these closely related and phenotypically misidentified species and may provide a foundation for the development of a new set of species-specific microsatellite markers. Here, we also report a novel microsatellite-based marker for C. dubliniensis-specific identification.

In silico characterization of tandem repeats in Trichophyton rubrum and related dermatophytes provides new insights into their role in pathogenesis

Trichophyton rubrum is the most common etiological agent of dermatophytoses worldwide, which is able to degrade keratinized tissues. The sequencing of the genome of different dermatophyte species has provided a large amount of data, including tandem repeats that may play a role in genetic variability and in the pathogenesis of these fungi. Tandem repeats are adjacent DNA sequences of 2–200 nucleotides in length, which exert regulatory and adaptive functions. These repetitive DNA sequences are found in different classes of fungal proteins, especially those involved in cell adhesion, a determinant factor for the establishment of fungal infection. The objective of this study was to develop a Dermatophyte Tandem Repeat Database (DTRDB) for the storage and identification of tandem repeats in T. rubrum and six other dermatophyte species. The current version of the database contains 35 577 tandem repeats detected in 16 173 coding sequences. The repeats can be searched using entry parameters such as repeat unit length (nt—nucleotide), repeat number, variability score, and repeat sequence motif. These data were used to study the relative frequency and distribution of repeats in the sequences, as well as their possible functions in dermatophytes. A search of the database revealed that these repeats occur in 22–33% of genes transcribed in dermatophytes where they could be involved in the success of adaptation to the host tissue and establishment of infection. The repeats were detected in transcripts that are mainly related to three biological processes: regulation, adhesion, and metabolism. The database developed enables users to identify and analyse tandem repeat regions in target genes related to pathogenicity and fungal–host interactions in dermatophytes and may contribute to the discovery of new targets for the development of antifungal agents.

Database URL:http://comp.mch.ifsuldeminas.edu.br/dtrdb/

Development of Novel Polymorphic EST-SSR Markers in Bailinggu (Pleurotus tuoliensis) for Crossbreeding

Identification of monokaryons and their mating types and discrimination of hybrid offspring are key steps for the crossbreeding of Pleurotus tuoliensis (Bailinggu). However, conventional crossbreeding methods are troublesome and time consuming. Using RNA-seq technology, we developed new expressed sequence tag-simple sequence repeat (EST-SSR) markers for Bailinggu to easily and rapidly identify monokaryons and their mating types, genetic diversity and hybrid offspring. We identified 1110 potential EST-based SSR loci from a newly-sequenced Bailinggu transcriptome and then randomly selected 100 EST-SSRs for further validation. Results showed that 39, 43 and 34 novel EST-SSR markers successfully identified monokaryons from their parent dikaryons, differentiated two different mating types and discriminated F₁ and F₂ hybrid offspring, respectively. Furthermore, a total of 86 alleles were detected in 37 monokaryons using 18 highly informative EST-SSRs. The observed number of alleles per locus ranged from three to seven. Cluster analysis revealed that these monokaryons have a relatively high level of genetic diversity. Transfer rates of the EST-SSRs in the monokaryons of closely-related species Pleurotuseryngii var. ferulae and Pleurotus ostreatus were 72% and 64%, respectively. Therefore, our study provides new SSR markers and an efficient method to enhance the crossbreeding of Bailinggu and closely-related species.

Genome-wide analysis of simple sequence repeats in the model medicinal mushroom Ganoderma lucidum

Simple sequence repeats (SSRs) or microsatellites are one of the most popular sources of genetic markers and play a significant role in gene function and genome organization. We identified SSRs in the genome of Ganoderma lucidum and analyzed their frequency and distribution in different genomic regions. We also compared the SSRs in G. lucidum with six other Agaricomycetes genomes: Coprinopsis cinerea, Laccaria bicolor, Phanerochaete chrysosporium, Postia placenta, Schizophyllum commune and Serpula lacrymans. Based on our search criteria, the total number of SSRs found ranged from 1206 to 6104 and covered from 0.04% to 0.15% of the fungal genomes. The SSR abundance was not correlated with the genome size, and mono- to tri-nucleotide repeats outnumbered other SSR categories in all of the species examined. In G. lucidum, a repertoire of 2674 SSRs was detected, with mono-nucleotides being the most abundant. SSRs were found in all genomic regions and were more abundant in non-coding regions than coding regions. The highest SSR relative abundance was found in introns (108 SSRs/Mb), followed by intergenic regions (84 SSRs/Mb). A total of 684 SSRs were found in the protein-coding sequences (CDSs) of 588 gene models, with 81.4% of them being tri- or hexa-nucleotides. After scanning for InterPro domains, 280 of these genes were successfully annotated, and 215 of them could be assigned to Gene Ontology (GO) terms. SSRs were also identified in 28 bioactive compound synthesis-related gene models, including one 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR), three polysaccharide biosynthesis genes and 24 cytochrome P450 monooxygenases (CYPs). Primers were designed for the identified SSR loci, providing the basis for the future development of SSR markers of this medicinal fungus.