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      The Frequency of Sex: Population Genomics Reveals Differences in Recombination and Population Structure of the Aflatoxin-Producing Fungus Aspergillus flavus

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          Abstract

          Differences in the relative frequencies of sexual and asexual reproduction have profound implications for the accumulation of deleterious mutations (Muller’s ratchet), but little is known about how these differences impact the evolution of ecologically important phenotypes. Aspergillus flavus is the main producer of aflatoxin, a notoriously potent carcinogen that often contaminates food. We investigated if differences in the levels of production of aflatoxin by A. flavus could be explained by the accumulation of deleterious mutations due to a lack of recombination. Despite differences in the extent of recombination, variation in aflatoxin production is better explained by the demography and history of specific populations and may suggest important differences in the ecological roles of aflatoxin among populations. Furthermore, the association of aflatoxin production and populations provides a means of predicting the risk of aflatoxin contamination by determining the frequencies of isolates from low- and high-production populations.

          ABSTRACT

          The apparent rarity of sex in many fungal species has raised questions about how much sex is needed to purge deleterious mutations and how differences in frequency of sex impact fungal evolution. We sought to determine how differences in the extent of recombination between populations of Aspergillus flavus impact the evolution of genes associated with the synthesis of aflatoxin, a notoriously potent carcinogen. We sequenced the genomes of, and quantified aflatoxin production in, 94 isolates of A. flavus sampled from seven states in eastern and central latitudinal transects of the United States. The overall population is subdivided into three genetically differentiated populations (A, B, and C) that differ greatly in their extent of recombination, diversity, and aflatoxin-producing ability. Estimates of the number of recombination events and linkage disequilibrium decay suggest relatively frequent sex only in population A. Population B is sympatric with population A but produces significantly less aflatoxin and is the only population where the inability of nonaflatoxigenic isolates to produce aflatoxin was explained by multiple gene deletions. Population expansion evident in population B suggests a recent introduction or range expansion. Population C is largely nonaflatoxigenic and restricted mainly to northern sampling locations through restricted migration and/or selection. Despite differences in the number and type of mutations in the aflatoxin gene cluster, codon optimization and site frequency differences in synonymous and nonsynonymous mutations suggest that low levels of recombination in some A. flavus populations are sufficient to purge deleterious mutations.

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          ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

          Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.
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            SplitsTree: analyzing and visualizing evolutionary data.

            D Huson (1998)
            Real evolutionary data often contain a number of different and sometimes conflicting phylogenetic signals, and thus do not always clearly support a unique tree. To address this problem, Bandelt and Dress (Adv. Math., 92, 47-05, 1992) developed the method of split decomposition. For ideal data, this method gives rise to a tree, whereas less ideal data are represented by a tree-like network that may indicate evidence for different and conflicting phylogenies. SplitsTree is an interactive program, for analyzing and visualizing evolutionary data, that implements this approach. It also supports a number of distances transformations, the computation of parsimony splits, spectral analysis and bootstrapping.
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              Some Genetic Aspects of Sex

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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mbio
                mBio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                14 July 2020
                Jul-Aug 2020
                : 11
                : 4
                : e00963-20
                Affiliations
                [a ]Department of Medical Microbiology and Immunology, University of Wisconsin—Madison, Madison, Wisconsin, USA
                [b ]Department of Genetics, University of Wisconsin—Madison, Madison, Wisconsin, USA
                [c ]Innovative Genomics Institute, The University of California, Berkeley, California, USA
                [d ]Department of Plant and Microbial Biology, The University of California, Berkeley, California, USA
                [e ]Environmental Genomics and Systems Biology, The Lawrence Berkeley National Laboratory, Berkeley, California, USA
                [f ]School of Integrative Plant Science, Plant Pathology and Plant-Microbe Biology Section, Cornell University, Ithaca, New York, USA
                Cornell University
                Author notes
                Address correspondence to Milton T. Drott, mdrott@ 123456wisc.edu .
                Author information
                https://orcid.org/0000-0001-9715-2200
                https://orcid.org/0000-0002-4844-2890
                https://orcid.org/0000-0002-4386-9473
                Article
                mBio00963-20
                10.1128/mBio.00963-20
                7360929
                32665272
                138e4289-cb79-472b-b2a3-835b72aa86fa
                Copyright © 2020 Drott et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 20 April 2020
                : 18 June 2020
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 76, Pages: 13, Words: 9009
                Funding
                Funded by: University of Wisconsin Madison Food Research Institute;
                Award ID: Undergraduate Research Program in Food Safety
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), https://doi.org/10.13039/100000002;
                Award ID: S10 OD018174
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), https://doi.org/10.13039/100000002;
                Award ID: T32 ES007015
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), https://doi.org/10.13039/100000002;
                Award ID: 5T32 GM007133-40
                Award Recipient :
                Funded by: USDA | National Institute of Food and Agriculture (NIFA), https://doi.org/10.13039/100005825;
                Award ID: 2016-67013-24807
                Award Recipient :
                Funded by: USDA | National Institute of Food and Agriculture (NIFA), https://doi.org/10.13039/100005825;
                Award ID: 2019-67012-29662
                Award Recipient :
                Categories
                Research Article
                Ecological and Evolutionary Science
                Custom metadata
                July/August 2020

                Life sciences
                aspergillus flavus,sex,recombination,aflatoxin,population structure,population genomics
                Life sciences
                aspergillus flavus, sex, recombination, aflatoxin, population structure, population genomics

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