Literature DB >> 26472839

Draft Genome Sequence of the Animal and Human Pathogen Malassezia pachydermatis Strain CBS 1879.

Sergio Triana1, Andrés González2, Robin A Ohm3, Han A B Wösten3, Hans de Cock3, Silvia Restrepo4, Adriana Celis5.   

Abstract

Malassezia pachydermatis is a basidiomycetous yeast that causes infections in humans and animals. Here, we report the genome sequence of Malassezia pachydermatis strain CBS 1879, which will facilitate the study of mechanisms underlying pathogenicity of the only non-lipid-dependent Malasezzia species.
Copyright © 2015 Triana et al.

Entities:  

Year:  2015        PMID: 26472839      PMCID: PMC4611691          DOI: 10.1128/genomeA.01197-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

M. pachydermatis is the only non-lipid-dependent species of the genus Malasezzia. All other 13 species (1) of this genus are obligate lipophilic and require fatty acids for growth. This is due to the lack of a fungal type fatty acid synthase (2). M. pachydermatis is able to assimilate fatty acids from the growth medium and can thus be considered a facultative lipophilic species (3). The molecular mechanisms underpinning this behavior are not yet clear. M. pachydermatis is a member of the microbiota of animals. It is an opportunistic pathogen of dogs causing dermatitis and otitis externa. M. pachydermatis has also been implicated in human bloodstream infections (4, 5). Three genomes of the obligate lipophilic species M. globosa, M. restricta, and M. sympodiales have been reported (2, 6). Our goal is to understand the facultative lipophilic nature of M. pachydermatis. M. pachydermatis genomic DNA was extracted as previously described (7). The DNA was sequenced with the Illumina HiSeq 2000 platform at ServiceXS (Leiden, the Netherlands). Two runs with 120-bp paired-end reads on 250-bp fragments were performed following standard Illumina protocols with a 280-fold genome coverage. Reads were quality controlled with FastQC (8) and trimmed using Flexbar (9). De novo assembly was performed using CLC Assembly Cell (CLC bio, Denmark). The resulting contigs were scaffolded using SSPACE_Basic (10), and gaps were filled with GapFiller (11). The final assembly consisted of 148 contigs that were linked by pair-end reads into 91 scaffolds, 28 of which were longer than 1 kb. The maximum contig and scaffold length were 1,466,538 and 1,489,072 bp, respectively, and the N50 was 0.64 Mbp and 1.3 Mbp, respectively. The genome size was 8.15 Mbp with a G+C content of 55.17%. The genome was annotated using Maker2 (12) and we made use of a set of 109,264 previously reported Ustilaginomycotina proteins, 1,413 ESTs from Malassezia spp., and CEGMA (13). The homology-based predictor GeneMark and the ab-initio predictors SNAP (14) and Augustus (15) were used to predict genes. In order to train Augustus and SNAP we ran MAKER two consecutive times; the initial annotation output from MAKER was converted into a model for SNAP and a training set for Augustus, which was used in the subsequent run. Functional annotation of the predicted genes was performed by Blast2GO (16), which involved Blast and InterProScan annotation (17, 18). A total of 4,202 protein-coding genes were predicted with an average size of 1,581 bp. The coding regions corresponded to 81% of the genome. In addition, CEGMA showed that 97.18% of the eukaryotic core genome was present in the genome (13). Lipid degrading enzymes play an important role in the host invasion process of M. pachydermatis (19, 20). A total of 50 lipid degrading enzymes were identified in the genome, including 35 lipases and 15 esterases. Most interestingly, a typical fungal fatty acid synthase was not detected in the genome. Instead a polyketide synthase, homologous to fatty acid synthases (21), was detected that showed 75% identity with its bidirectional homologue of M. sympodialis. How M. pachydermatis is able to grow in the absence of fatty acids is a subject for future research.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession number LGAV00000000. The version described in this paper is LGAV01000000.
  18 in total

1.  Biosynthesis: Diversity between PKS and FAS.

Authors:  Kenji Arakawa
Journal:  Nat Chem Biol       Date:  2012-06-18       Impact factor: 15.040

2.  MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes.

Authors:  Brandi L Cantarel; Ian Korf; Sofia M C Robb; Genis Parra; Eric Ross; Barry Moore; Carson Holt; Alejandro Sánchez Alvarado; Mark Yandell
Journal:  Genome Res       Date:  2007-11-19       Impact factor: 9.043

Review 3.  The Malassezia genus in skin and systemic diseases.

Authors:  Georgios Gaitanis; Prokopios Magiatis; Markus Hantschke; Ioannis D Bassukas; Aristea Velegraki
Journal:  Clin Microbiol Rev       Date:  2012-01       Impact factor: 26.132

4.  Dandruff-associated Malassezia genomes reveal convergent and divergent virulence traits shared with plant and human fungal pathogens.

Authors:  Jun Xu; Charles W Saunders; Ping Hu; Raymond A Grant; Teun Boekhout; Eiko E Kuramae; James W Kronstad; Yvonne M Deangelis; Nancy L Reeder; Kevin R Johnstone; Meredith Leland; Angela M Fieno; William M Begley; Yiping Sun; Martin P Lacey; Tanuja Chaudhary; Thomas Keough; Lien Chu; Russell Sears; Bo Yuan; Thomas L Dawson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-13       Impact factor: 11.205

5.  Effects of fatty acids on the growth and composition of Malassezia pachydermatis and their relevance to canine otitis externa.

Authors:  H P Huang; C J Little; L M Fixter
Journal:  Res Vet Sci       Date:  1993-07       Impact factor: 2.534

6.  Toward almost closed genomes with GapFiller.

Authors:  Marten Boetzer; Walter Pirovano
Journal:  Genome Biol       Date:  2012-06-25       Impact factor: 13.583

7.  InterProScan 5: genome-scale protein function classification.

Authors:  Philip Jones; David Binns; Hsin-Yu Chang; Matthew Fraser; Weizhong Li; Craig McAnulla; Hamish McWilliam; John Maslen; Alex Mitchell; Gift Nuka; Sebastien Pesseat; Antony F Quinn; Amaia Sangrador-Vegas; Maxim Scheremetjew; Siew-Yit Yong; Rodrigo Lopez; Sarah Hunter
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

Review 8.  Malassezia infections in humans and animals: pathophysiology, detection, and treatment.

Authors:  Aristea Velegraki; Claudia Cafarchia; Georgios Gaitanis; Roberta Iatta; Teun Boekhout
Journal:  PLoS Pathog       Date:  2015-01-08       Impact factor: 6.823

9.  Genomic insights into the atopic eczema-associated skin commensal yeast Malassezia sympodialis.

Authors:  Anastasia Gioti; Björn Nystedt; Wenjun Li; Jun Xu; Anna Andersson; Anna F Averette; Karin Münch; Xuying Wang; Catharine Kappauf; Joanne M Kingsbury; Bart Kraak; Louise A Walker; Henrik J Johansson; Tina Holm; Janne Lehtiö; Jason E Stajich; Piotr Mieczkowski; Regine Kahmann; John C Kennell; Maria E Cardenas; Joakim Lundeberg; Charles W Saunders; Teun Boekhout; Thomas L Dawson; Carol A Munro; Piet W J de Groot; Geraldine Butler; Joseph Heitman; Annika Scheynius
Journal:  MBio       Date:  2013-01-22       Impact factor: 7.867

10.  Gene finding in novel genomes.

Authors:  Ian Korf
Journal:  BMC Bioinformatics       Date:  2004-05-14       Impact factor: 3.169

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  11 in total

1.  Quantification of Malassezia pachydermatis by real-time PCR in swabs from the external ear canal of dogs.

Authors:  Laura Puig; Gemma Castellá; F Javier Cabañes
Journal:  J Vet Diagn Invest       Date:  2019-04-04       Impact factor: 1.279

2.  Advancing Functional Genetics Through Agrobacterium-Mediated Insertional Mutagenesis and CRISPR/Cas9 in the Commensal and Pathogenic Yeast Malassezia.

Authors:  Giuseppe Ianiri; Gabriel Dagotto; Sheng Sun; Joseph Heitman
Journal:  Genetics       Date:  2019-06-26       Impact factor: 4.562

3.  Cryptic Diversity of Malassezia pachydermatis from Healthy and Diseased Domestic Animals.

Authors:  Laura Puig; Gemma Castellá; F Javier Cabañes
Journal:  Mycopathologia       Date:  2016-06-09       Impact factor: 2.574

4.  Gene Function Analysis in the Ubiquitous Human Commensal and Pathogen Malassezia Genus.

Authors:  Giuseppe Ianiri; Anna F Averette; Joanne M Kingsbury; Joseph Heitman; Alexander Idnurm
Journal:  mBio       Date:  2016-11-29       Impact factor: 7.867

5.  FKBP12-Dependent Inhibition of Calcineurin Mediates Immunosuppressive Antifungal Drug Action in Malassezia.

Authors:  Giuseppe Ianiri; Shelly Applen Clancey; Soo Chan Lee; Joseph Heitman
Journal:  MBio       Date:  2017-10-24       Impact factor: 7.867

6.  Characterization of the species Malassezia pachydermatis and re-evaluation of its lipid dependence using a synthetic agar medium.

Authors:  Laura Puig; M Rosa Bragulat; Gemma Castellá; F Javier Cabañes
Journal:  PLoS One       Date:  2017-06-06       Impact factor: 3.240

7.  Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling.

Authors:  Sergio Triana; Hans de Cock; Robin A Ohm; Giovanna Danies; Han A B Wösten; Silvia Restrepo; Andrés F González Barrios; Adriana Celis
Journal:  Front Microbiol       Date:  2017-09-14       Impact factor: 5.640

8.  Long-Chain Acyl-CoA Synthetase is Associated with the Growth of Malassezia spp.

Authors:  Kengo Tejima; Xinyue Chen; Shun Iwatani; Susumu Kajiwara
Journal:  J Fungi (Basel)       Date:  2019-09-21

9.  Analysis of Malassezia Lipidome Disclosed Differences Among the Species and Reveals Presence of Unusual Yeast Lipids.

Authors:  Adriana Marcela Celis Ramírez; Adolfo Amézquita; Juliana Erika Cristina Cardona Jaramillo; Luisa F Matiz-Cerón; Juan S Andrade-Martínez; Sergio Triana; Maria Juliana Mantilla; Silvia Restrepo; Andrés Fernando González Barrios; Hans de Cock
Journal:  Front Cell Infect Microbiol       Date:  2020-07-15       Impact factor: 5.293

Review 10.  Approaches for Genetic Discoveries in the Skin Commensal and Pathogenic Malassezia Yeasts.

Authors:  Giuseppe Ianiri; Joseph Heitman
Journal:  Front Cell Infect Microbiol       Date:  2020-08-07       Impact factor: 5.293

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