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      Genome-wide quantification of contributions to sexual fitness identifies genes required for spore viability and health in fission yeast

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          Abstract

          Numerous genes required for sexual reproduction remain to be identified even in simple model species like Schizosaccharomyces pombe. To address this, we developed an assay in S. pombe that couples transposon mutagenesis with high-throughput sequencing (TN-seq) to quantitatively measure the fitness contribution of nonessential genes across the genome to sexual reproduction. This approach identified 532 genes that contribute to sex, including more than 200 that were not previously annotated to be involved in the process, of which more than 150 have orthologs in vertebrates. Among our verified hits was an uncharacterized gene, ifs1 ( important for sex), that is required for spore viability. In two other hits, plb1 and alg9, we observed a novel mutant phenotype of poor spore health wherein viable spores are produced, but the spores exhibit low fitness and are rapidly outcompeted by wild type. Finally, we fortuitously discovered that a gene previously thought to be essential, sdg1 ( social distancing gene), is instead required for growth at low cell densities and can be rescued by conditioned medium. Our assay will be valuable in further studies of sexual reproduction in S. pombe and identifies multiple candidate genes that could contribute to sexual reproduction in other eukaryotes, including humans.

          Author summary

          Sex is absolutely required for many organisms, including humans, to reproduce. However, we still lack a complete understanding of the genetic contributions to sexual reproduction, even in many model organisms. Here we use a high-throughput insertional mutagenesis approach to measure the consequences during sexual reproduction of gene disruption across the genome in fission yeast. As a result, we identified hundreds of novel genes as contributing to sexual reproduction. While we identified a mutant with the expected loss of spore viability phenotype, we also demonstrated that disruption of some of these genes resulted in viable but low-quality spores (analogous to gametes like sperm in humans). In addition, we also identified a gene that was not required for sex itself but was instead required for cells to grow at low density. We propose that this mutant is a representative of a new class of genes that we refer to as “social distancing genes” because they are unable to grow without the presence of neighbors. In sum, this work presents genome-wide measurement of the genetic contributions to sex in fission yeast.

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          Hidden killers: human fungal infections.

          Although fungal infections contribute substantially to human morbidity and mortality, the impact of these diseases on human health is not widely appreciated. Moreover, despite the urgent need for efficient diagnostic tests and safe and effective new drugs and vaccines, research into the pathophysiology of human fungal infections lags behind that of diseases caused by other pathogens. In this Review, we highlight the importance of fungi as human pathogens and discuss the challenges we face in combating the devastating invasive infections caused by these microorganisms, in particular in immunocompromised individuals.
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            HMMER web server: 2018 update

            Abstract The HMMER webserver [http://www.ebi.ac.uk/Tools/hmmer] is a free-to-use service which provides fast searches against widely used sequence databases and profile hidden Markov model (HMM) libraries using the HMMER software suite (http://hmmer.org). The results of a sequence search may be summarized in a number of ways, allowing users to view and filter the significant hits by domain architecture or taxonomy. For large scale usage, we provide an application programmatic interface (API) which has been expanded in scope, such that all result presentations are available via both HTML and API. Furthermore, we have refactored our JavaScript visualization library to provide standalone components for different result representations. These consume the aforementioned API and can be integrated into third-party websites. The range of databases that can be searched against has been expanded, adding four sequence datasets (12 in total) and one profile HMM library (6 in total). To help users explore the biological context of their results, and to discover new data resources, search results are now supplemented with cross references to other EMBL-EBI databases.
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              Tn-seq; high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms

              Biological pathways are structured in complex networks of interacting genes. Solving the architecture of such networks may provide valuable information, such as how microorganisms cause disease. Here we present a method (Tn-seq) for accurately determining quantitative genetic interactions on a genome-wide scale in microorganisms. Tn-seq is based on the assembly of a saturated Mariner transposon insertion library. After library selection, changes in frequency of each insertion mutant are determined by sequencing of the flanking regions en masse. These changes are used to calculate each mutant’s fitness. Fitness was determined for each gene of the gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis. A genome-wide screen for genetic interactions identified both alleviating and aggravating interactions that could be further divided into seven distinct categories. Due to the wide activity of the Mariner transposon, Tn-seq has the potential to contribute to the exploration of complex pathways across many different species.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Visualization
                Role: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                PLOS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                27 October 2022
                October 2022
                : 18
                : 10
                : e1010462
                Affiliations
                [1 ] Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
                [2 ] Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas, United States of America
                SUNY-Buffalo, UNITED STATES
                Author notes

                I have read the journal’s policy and the authors of this manuscript have the following competing interests: SEZ: Inventor on patent application 834 serial 62/491,107 based on wtf killers.

                Author information
                https://orcid.org/0000-0003-4866-3711
                https://orcid.org/0000-0003-1867-986X
                Article
                PGENETICS-D-22-00625
                10.1371/journal.pgen.1010462
                9668190
                36301993
                78532ac7-7d1f-4c7b-84b6-307b22558e5c
                © 2022 Billmyre et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 June 2022
                : 3 October 2022
                Page count
                Figures: 7, Tables: 0, Pages: 38
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: GM114436
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: GM132936
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100014185, Searle Scholars Program;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100007795, Stowers Institute for Medical Research;
                Award Recipient :
                This work was funded by K99/R00 funding to SEZ (GM114436) and DP2 funding to SEZ (GM132936) from the NIGMS, by a Searle Scholars Award to SEZ, and by the Stowers Institute for Medical Research to SEZ. The funders has no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. All authors received salary support from the Stowers Institute for Medical Research.
                Categories
                Research Article
                Biology and Life Sciences
                Mycology
                Fungal Reproduction
                Fungal Spores
                Biology and Life Sciences
                Developmental Biology
                Modes of Reproduction
                Sexual Reproduction
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Schizosaccharomyces Pombe
                Research and Analysis Methods
                Model Organisms
                Schizosaccharomyces Pombe
                Biology and Life Sciences
                Organisms
                Eukaryota
                Fungi
                Yeast
                Schizosaccharomyces
                Schizosaccharomyces Pombe
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Yeast and Fungal Models
                Schizosaccharomyces Pombe
                Biology and Life Sciences
                Mycology
                Fungal Reproduction
                Fungal Spore Germination
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Cycle and Cell Division
                Meiosis
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Meiosis
                Biology and Life Sciences
                Genetics
                Genetic Elements
                Mobile Genetic Elements
                Transposable Elements
                Biology and Life Sciences
                Genetics
                Genomics
                Mobile Genetic Elements
                Transposable Elements
                Biology and Life Sciences
                Genetics
                Phenotypes
                Biology and Life Sciences
                Genetics
                Genomics
                Custom metadata
                vor-update-to-uncorrected-proof
                2022-11-16
                Next-generation sequence data is available at the NCBI SRA under accession number PRJNA758956. All other relevant data are within the manuscript and its Supporting Information files or at the Stowers original data repository ( https://www.stowers.org/research/publications/libpb-1654). Instructions for accessing data from the Stowers original data repository via FTP can be found at https://www.stowers.org/research/publications/odr#ftp.

                Genetics
                Genetics

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