Special Issue "Bioinformatics in Pathogenic Fungi"

A special issue of Journal of Fungi (ISSN 2309-608X). This special issue belongs to the section "Fungal Genomics, Genetics and Molecular Biology".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 7795

Special Issue Editors

School of Medicine, University of California, San Diego, CA, USA
Interests: coccidioidomycosis; primary pathogenic fungi; pathogenesis; immunology

Special Issue Information

Dear Colleagues,

Many kinds of high-throughput experiments generate large data sets that require analysis by data science to produce summaries that can be further evaluated for potential biological significance. Some examples include genome sequencing, phylogenomics, genome-wide association studies, epigenetics, transcriptomics, proteomics, metabolomics and many others. This interface between biology and data science is known as bioinformatics and it has been a very active area of research recently. Optimal bioinformatic analysis requires an in-depth understanding of statistics and well as the development of a robust analytic pipeline. Bioinformatic techniques were initially used for the evaluation of fungal model organisms but have more recently been employed in all areas of biology, including the study of pathogenic fungi. This Special Issue focusses on bioinformatics in pathogenic fungi. Manuscripts concerning generation of data, data analysis, evaluation of different analytic methods and novel analytic methods for pathogenic fungi are all invited. Both research articles and review articles are welcome. Manuscripts submitted to the Journal of Fungi, which has an Impact Factor of 5.724, are reviewed promptly.

Dr. Theo N. Kirkland
Prof. Dr. Joshua Fierer
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Fungi is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pathogenic fungi
  • genomics
  • transcriptomics
  • proteomics
  • data science
  • computer science
  • bioinformatics

Published Papers (8 papers)

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Research

Article
Genomic Sequence Resource of Talaromyces albobiverticillius, the Causative Pathogen of Pomegranate Pulp Rot Disease
J. Fungi 2023, 9(9), 909; https://doi.org/10.3390/jof9090909 - 07 Sep 2023
Viewed by 272
Abstract
Talaromyces albobiverticillius, a prominent pathogen responsible for pomegranate pulp rot disease, inflicts significant damage on Punica granatum L. Besides its pathogenicity, this fungus possesses the potential to produce substantial amounts of red pigments, making it promising for industrial applications. This study presents [...] Read more.
Talaromyces albobiverticillius, a prominent pathogen responsible for pomegranate pulp rot disease, inflicts significant damage on Punica granatum L. Besides its pathogenicity, this fungus possesses the potential to produce substantial amounts of red pigments, making it promising for industrial applications. This study presents the genome annotation of T. albobiverticillius field strain Tp-2, isolated from pomegranates. The genome assembly, generated through a combination of Oxford Nanopore and Illumina sequencing reads, yielded a high-quality assembly with 14 contigs, featuring an N50 length of 4,594,200 bp. The complete genome of strain Tp-2 spans 38,354,882 bp, with a GC content of 45.78%. Importantly, the assembly exhibits remarkable integrity, with 98.3% of complete Benchmarking Universal Single-Copy Orthologs validating genome completeness. Genome prediction analysis reveals the presence of 10,380 protein-coding genes. To our knowledge, this study is the first report on the genome sequence of T. albobiverticillius, offering valuable insights into its genetic variation and molecular mechanisms of pigment production. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
Bioinformatic Analysis of Secondary Metabolite Biosynthetic Potential in Pathogenic Fusarium
J. Fungi 2023, 9(8), 850; https://doi.org/10.3390/jof9080850 - 15 Aug 2023
Viewed by 527
Abstract
Fusarium species are among the filamentous fungi with the most pronounced impact on agricultural production and human health. The mycotoxins produced by pathogenic Fusarium not only attack various plants including crops, causing various plant diseases that lead to reduced yields and even death, [...] Read more.
Fusarium species are among the filamentous fungi with the most pronounced impact on agricultural production and human health. The mycotoxins produced by pathogenic Fusarium not only attack various plants including crops, causing various plant diseases that lead to reduced yields and even death, but also penetrate into the food chain of humans and animals to cause food poisoning and consequent health hazards. Although sporadic studies have revealed some of the biosynthetic pathways of Fusarium toxins, they are insufficient to satisfy the need for a comprehensive understanding of Fusarium toxin production. In this study, we focused on 35 serious pathogenic Fusarium species with available genomes and systematically analyzed the ubiquity of the distribution of identified Fusarium- and non-Fusarium-derived fungal toxin biosynthesis gene clusters (BGCs) in these species through the mining of core genes and the comparative analysis of corresponding BGCs. Additionally, novel sesterterpene synthases and PKS_NRPS clusters were discovered and analyzed. This work is the first to systematically analyze the distribution of related mycotoxin biosynthesis in pathogenic Fusarium species. These findings enhance the knowledge of mycotoxin production and provide a theoretical grounding for the prevention of fungal toxin production using biotechnological approaches. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
Secretome Analysis for a New Strain of the Blackleg Fungus Plenodomus lingam Reveals Candidate Proteins for Effectors and Virulence Factors
J. Fungi 2023, 9(7), 740; https://doi.org/10.3390/jof9070740 - 11 Jul 2023
Viewed by 530
Abstract
The fungal secretome is the main interface for interactions between the pathogen and its host. It includes the most important virulence factors and effector proteins. We integrated different bioinformatic approaches and used the newly drafted genome data of P. lingam isolate CAN1 (blackleg [...] Read more.
The fungal secretome is the main interface for interactions between the pathogen and its host. It includes the most important virulence factors and effector proteins. We integrated different bioinformatic approaches and used the newly drafted genome data of P. lingam isolate CAN1 (blackleg of rapeseed fungus) to predict the secretion of 217 proteins, including many cell-wall-degrading enzymes. All secretory proteins were identified; 85 were classified as CAZyme families and 25 were classified as protease families. Moreover, 49 putative effectors were predicted and identified, where 39 of them possessed at least one conserved domain. Some pectin-degrading enzymes were noticeable as a clustering group according to STRING web analysis. The secretome of P. lingam CAN1 was compared to the other two blackleg fungal species (P. lingam JN3 and P. biglobosus CA1) secretomes and their CAZymes and effectors were identified. Orthologue analysis found that P. lingam CAN1 shared 14 CAZy effectors with other related species. The Pathogen-Host Interaction database (PHI base) classified the effector proteins in several categories where most proteins were assigned as reduced virulence and two of them termed as hypervirulence. Nowadays, in silico approaches can solve many ambiguous issues about the mechanism of pathogenicity between fungi and plant host with well-designed bioinformatics tools. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
Molecular Response of Meyerozyma guilliermondii to Patulin: Transcriptomic-Based Analysis
J. Fungi 2023, 9(5), 538; https://doi.org/10.3390/jof9050538 - 30 Apr 2023
Viewed by 846
Abstract
Patulin (PAT), mainly produced by Penicillium expansum, is a potential threat to health. In recent years, PAT removal using antagonistic yeasts has become a hot research topic. Meyerozyma guilliermondii, isolated by our group, produced antagonistic effects against the postharvest diseases of [...] Read more.
Patulin (PAT), mainly produced by Penicillium expansum, is a potential threat to health. In recent years, PAT removal using antagonistic yeasts has become a hot research topic. Meyerozyma guilliermondii, isolated by our group, produced antagonistic effects against the postharvest diseases of pears and could degrade PAT in vivo or in vitro. However, the molecular responses of M. guilliermondii over PAT exposure and its detoxification enzymes are not apparent. In this study, transcriptomics is used to unveil the molecular responses of M. guilliermondii on PAT exposure and the enzymes involved in PAT degradation. The functional enrichment of differentially expressed genes indicated that the molecular response mainly includes the up-regulated expression of genes related to resistance and drug-resistance, intracellular transport, growth and reproduction, transcription, DNA damage repair, antioxidant stress to avoid cell damage, and PAT detoxification genes such as short-chain dehydrogenase/reductases. This study elucidates the possible molecular responses and PAT detoxification mechanism of M. guilliermondii, which could be helpful to further accelerate the commercial application of antagonistic yeast toward mycotoxin decontamination. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
Hybrid De Novo Whole-Genome Assembly, Annotation, and Identification of Secondary Metabolite Gene Clusters in the Ex-Type Strain of Chrysosporium keratinophilum
J. Fungi 2023, 9(4), 389; https://doi.org/10.3390/jof9040389 - 23 Mar 2023
Viewed by 1135
Abstract
Chrysosporium is a polyphyletic genus belonging (mostly) to different families of the order Onygenales (Eurotiomycetes, Ascomycota). Certain species, such as Chrysosporium keratinophilum, are pathogenic for animals, including humans, but are also a source of proteolytic enzymes (mainly keratinases) potentially useful in bioremediation. [...] Read more.
Chrysosporium is a polyphyletic genus belonging (mostly) to different families of the order Onygenales (Eurotiomycetes, Ascomycota). Certain species, such as Chrysosporium keratinophilum, are pathogenic for animals, including humans, but are also a source of proteolytic enzymes (mainly keratinases) potentially useful in bioremediation. However, only a few studies have been published regarding bioactive compounds, of which the production is mostly unpredictable due to the absence of high-quality genomic sequences. During the development of our study, the genome of the ex-type strain of Chrysosporium keratinophilum, CBS 104.66, was sequenced and assembled using a hybrid method. The results showed a high-quality genome of 25.4 Mbp in size spread across 25 contigs, with an N50 of 2.0 Mb, 34,824 coding sequences, 8002 protein sequences, 166 tRNAs, and 24 rRNAs. The functional annotation of the predicted proteins was performed using InterProScan, and the KEGG pathway mapping using BlastKOALA. The results identified a total of 3529 protein families and 856 superfamilies, which were classified into six levels and 23 KEGG categories. Subsequently, using DIAMOND, we identified 83 pathogen–host interactions (PHI) and 421 carbohydrate-active enzymes (CAZymes). Finally, the analysis using AntiSMASH showed that this strain has a total of 27 biosynthesis gene clusters (BGCs), suggesting that it has a great potential to produce a wide variety of secondary metabolites. This genomic information provides new knowledge that allows for a deeper understanding of the biology of C. keratinophilum, and offers valuable new information for further investigations of the Chrysosporium species and the order Onygenales. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
A Landscape of the Genomic Structure of Cryptococcus neoformans in Colombian Isolates
J. Fungi 2023, 9(2), 135; https://doi.org/10.3390/jof9020135 - 18 Jan 2023
Viewed by 1079
Abstract
Cryptococcus neoformans species complexes are recognized as environmental fungi responsible for lethal meningoencephalitis in immunocompromised individuals. Despite the vast knowledge about the epidemiology and genetic diversity of this fungus in different regions of the world, more studies are necessary to comprehend the genomic [...] Read more.
Cryptococcus neoformans species complexes are recognized as environmental fungi responsible for lethal meningoencephalitis in immunocompromised individuals. Despite the vast knowledge about the epidemiology and genetic diversity of this fungus in different regions of the world, more studies are necessary to comprehend the genomic profiles across South America, including Colombia, considered to be the second country with the highest number of Cryptococcosis. Here, we sequenced and analyzed the genomic architecture of 29 Colombian C. neoformans isolates and evaluated the phylogenetic relationship of these strains with publicly available C. neoformans genomes. The phylogenomic analysis showed that 97% of the isolates belonged to the VNI molecular type and the presence of sub-lineages and sub-clades. We evidenced a karyotype without changes, a low number of genes with copy number variations, and a moderate number of single-nucleotide polymorphisms (SNPs). Additionally, a difference in the number of SNPs between the sub-lineages/sub-clades was observed; some were involved in crucial fungi biological processes. Our study demonstrated the intraspecific divergence of C. neoformans in Colombia. These findings provide evidence that Colombian C. neoformans isolates do not probably require significant structural changes as adaptation mechanisms to the host. To the best of our knowledge, this is the first study to report the whole genome sequence of Colombian C. neoformans isolates. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
The Botrytis cinerea Gene Expression Browser
J. Fungi 2023, 9(1), 84; https://doi.org/10.3390/jof9010084 - 06 Jan 2023
Viewed by 1561
Abstract
For comprehensive gene expression analyses of the phytopathogenic fungus Botrytis cinerea, which infects a number of plant taxa and is a cause of substantial agricultural losses worldwide, we developed BEB, a web-based B. cinerea gene Expression Browser. This computationally inexpensive web-based application [...] Read more.
For comprehensive gene expression analyses of the phytopathogenic fungus Botrytis cinerea, which infects a number of plant taxa and is a cause of substantial agricultural losses worldwide, we developed BEB, a web-based B. cinerea gene Expression Browser. This computationally inexpensive web-based application and its associated database contain manually curated RNA-Seq data for B. cinerea. BEB enables expression analyses of genes of interest under different culture conditions by providing publication-ready heatmaps depicting transcript levels, without requiring advanced computational skills. BEB also provides details of each experiment and user-defined gene expression clustering and visualization options. If needed, tables of gene expression values can be downloaded for further exploration, including, for instance, the determination of differentially expressed genes. The BEB implementation is based on open-source computational technologies that can be deployed for other organisms. In this case, the new implementation will be limited only by the number of transcriptomic experiments that are incorporated into the platform. To demonstrate the usability and value of BEB, we analyzed gene expression patterns across different conditions, with a focus on secondary metabolite gene clusters, chromosome-wide gene expression, previously described virulence factors, and reference genes, providing the first comprehensive expression overview of these groups of genes in this relevant fungal phytopathogen. We expect this tool to be broadly useful in B. cinerea research, providing a basis for comparative transcriptomics and candidate gene identification for functional assays. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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Article
Genome Organization and Copy-Number Variation Reveal Clues to Virulence Evolution in Coccidioides posadasii
J. Fungi 2022, 8(12), 1235; https://doi.org/10.3390/jof8121235 - 22 Nov 2022
Viewed by 928
Abstract
The human fungal pathogen Coccidioides spp. causes valley fever, a treatment-refractory and sometimes deadly disease prevalent in arid regions of the western hemisphere. Fungal virulence in the mammalian host hinges on a switch between growth as hyphae and as large spherules containing infectious [...] Read more.
The human fungal pathogen Coccidioides spp. causes valley fever, a treatment-refractory and sometimes deadly disease prevalent in arid regions of the western hemisphere. Fungal virulence in the mammalian host hinges on a switch between growth as hyphae and as large spherules containing infectious spores. How these virulence programs are encoded in the genome remains poorly understood. Drawing on Coccidioides genomic resources, we first discovered a new facet of genome organization in this system: spherule-gene islands, clusters of genes physically linked in the genome that exhibited specific mRNA induction in the spherule phase. Next, we surveyed copy-number variation genome-wide among strains of C. posadasii. Emerging from this catalog were spherule-gene islands with striking presence–absence differentiation between C. posadasii populations, a pattern expected from virulence factors subjected to different selective pressures across habitats. Finally, analyzing single-nucleotide differences across C. posadasii strains, we identified signatures of natural selection in spherule-expressed genes. Together, our data establish spherule-gene islands as candidate determinants of virulence and targets of selection in Coccidioides. Full article
(This article belongs to the Special Issue Bioinformatics in Pathogenic Fungi)
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