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      Frequent transitions in mating-type locus chromosomal organization in Malassezia and early steps in sexual reproduction

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          Significance

          Malassezia, the dominant fungal group of the mammalian skin microbiome, is associated with numerous skin disorders. Sexual development and yeast-to-hyphae transitions, governed by genes at two mating-type ( MAT) loci, are thought to be important for fungal pathogenicity. However, Malassezia sexual reproduction has never been observed. Here, we used chromosome-level assemblies and comparative genomics to uncover unforeseen transitions in MAT locus organization within Malassezia, possibly related with fragility of centromeric-associated regions. Additionally, by expressing different MAT alleles in the same cell, we show that Malassezia can undergo hyphal development and this phenotype is associated with increased expression of key mating genes along with other genes known to be virulence factors, providing a possible connection between hyphal development, sexual reproduction, and pathogenicity.

          Abstract

          Fungi in the basidiomycete genus Malassezia are the most prevalent eukaryotic microbes resident on the skin of human and other warm-blooded animals and have been implicated in skin diseases and systemic disorders. Analysis of Malassezia genomes revealed that key adaptations to the skin microenvironment have a direct genomic basis, and the identification of mating/meiotic genes suggests a capacity to reproduce sexually, even though no sexual cycle has yet been observed. In contrast to other bipolar or tetrapolar basidiomycetes that have either two linked mating-type-determining ( MAT) loci or two MAT loci on separate chromosomes, in Malassezia species studied thus far the two MAT loci are arranged in a pseudobipolar configuration (linked on the same chromosome but capable of recombining). By generating additional chromosome-level genome assemblies, and an improved Malassezia phylogeny, we infer that the pseudobipolar arrangement was the ancestral state of this group and revealed six independent transitions to tetrapolarity, seemingly driven by centromere fission or translocations in centromere-flanking regions. Additionally, in an approach to uncover a sexual cycle, Malassezia furfur strains were engineered to express different MAT alleles in the same cell. The resulting strains produce hyphae reminiscent of early steps in sexual development and display upregulation of genes associated with sexual development as well as others encoding lipases and a protease potentially relevant for pathogenesis of the fungus. Our study reveals a previously unseen genomic relocation of mating-type loci in fungi and provides insight toward the identification of a sexual cycle in Malassezia, with possible implications for pathogenicity.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                31 July 2023
                8 August 2023
                31 January 2024
                : 120
                : 32
                : e2305094120
                Affiliations
                [1] aDepartment of Molecular Genetics and Microbiology, Duke University Medical Center , Durham, NC 27710
                [2] bDepartment of Agricultural, Environmental and Food Sciences, University of Molise , Campobasso 86100, Italy
                [3] cWesterdijk Fungal Biodiversity Institute , Utrecht 3584 CT, The Netherlands
                [4] dMolecular Mycology Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research , Bengaluru 560064, India
                [5] eU.S. Geological Survey, National Wildlife Health Center , Madison, WI 53711
                [6] fCollege of Science, King Saud University , Riyadh 11451, Saudi Arabia
                Author notes
                2To whom correspondence may be addressed. Email: heitm001@ 123456duke.edu .

                Contributed by Joseph Heitman; received March 28, 2023; accepted June 28, 2023; reviewed by Guus Bakkeren, James W. Kronstad, and Kenneth H. Wolfe

                1M.A.C. and G.I. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5716-0561
                https://orcid.org/0000-0002-3278-8678
                https://orcid.org/0000-0003-1333-2058
                https://orcid.org/0000-0003-2239-1252
                https://orcid.org/0000-0002-6611-4073
                https://orcid.org/0000-0001-6369-5995
                Article
                202305094
                10.1073/pnas.2305094120
                10410736
                37523560
                375c4db5-6514-4466-8b3e-5942b86d31f3
                Copyright © 2023 the Author(s). Published by PNAS.

                This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 28 March 2023
                : 28 June 2023
                Page count
                Pages: 12, Words: 9346
                Funding
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef 100000060;
                Award ID: AI39115
                Award Recipient : Joseph Heitman
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef 100000060;
                Award ID: AI50113
                Award Recipient : Joseph Heitman
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef 100000060;
                Award ID: AI168672
                Award Recipient : Joseph Heitman
                Funded by: LEO Fondet (LEO Foundation), FundRef 501100012331;
                Award ID: LF-OC-22-001060
                Award Recipient : Giuseppe Ianiri
                Categories
                dataset, Dataset
                research-article, Research Article
                genetics, Genetics
                419
                Biological Sciences
                Genetics

                malassezia,mating-type chromosomes,chromosomal rearrangements,sexual reproduction

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