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      Plasmid fitness costs are caused by specific genetic conflicts enabling resolution by compensatory mutation

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          Abstract

          Plasmids play an important role in bacterial genome evolution by transferring genes between lineages. Fitness costs associated with plasmid carriage are expected to be a barrier to gene exchange, but the causes of plasmid fitness costs are poorly understood. Single compensatory mutations are often sufficient to completely ameliorate plasmid fitness costs, suggesting that such costs are caused by specific genetic conflicts rather than generic properties of plasmids, such as their size, metabolic burden, or gene expression level. By combining the results of experimental evolution with genetics and transcriptomics, we show here that fitness costs of 2 divergent large plasmids in Pseudomonas fluorescens are caused by inducing maladaptive expression of a chromosomal tailocin toxin operon. Mutations in single genes unrelated to the toxin operon, and located on either the chromosome or the plasmid, ameliorated the disruption associated with plasmid carriage. We identify one of these compensatory loci, the chromosomal gene PFLU4242, as the key mediator of the fitness costs of both plasmids, with the other compensatory loci either reducing expression of this gene or mitigating its deleterious effects by up-regulating a putative plasmid-borne ParAB operon. The chromosomal mobile genetic element Tn6291, which uses plasmids for transmission, remained up-regulated even in compensated strains, suggesting that mobile genetic elements communicate through pathways independent of general physiological disruption. Plasmid fitness costs caused by specific genetic conflicts are unlikely to act as a long-term barrier to horizontal gene transfer (HGT) due to their propensity for amelioration by single compensatory mutations, helping to explain why plasmids are so common in bacterial genomes.

          Abstract

          Plasmids impose fitness costs on their hosts, but the underlying mechanisms have been unclear. This study shows that specific gene interactions, rather than general properties of plasmids such as their size, are principally responsible for the burden plasmids impose. The propensity of such conflicts to be ameliorated by single compensatory mutations may help to explain why plasmids are so widespread.

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          edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

          Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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            Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

            Rapid advances in next-generation sequencing technologies have dramatically changed our ability to perform genome-scale analyses. The human reference genome used for most genomic analyses represents only a small number of individuals, limiting its usefulness for genotyping. We designed a novel method, HISAT2, for representing and searching an expanded model of the human reference genome, in which a large catalogue of known genomic variants and haplotypes is incorporated into the data structure used for searching and alignment. This strategy for representing a population of genomes, along with a fast and memory-efficient search algorithm, enables more detailed and accurate variant analyses than previous methods. We demonstrate two initial applications of HISAT2: HLA typing, a critical need in human organ transplantation, and DNA fingerprinting, widely used in forensics. These applications are part of HISAT-genotype, with performance not only surpassing earlier computational methods, but matching or exceeding the accuracy of laboratory-based assays.
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              MultiQC: summarize analysis results for multiple tools and samples in a single report

              Motivation: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis. Results: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified. MultiQC can plot data from many common bioinformatics tools and is built to allow easy extension and customization. Availability and implementation: MultiQC is available with an GNU GPLv3 license on GitHub, the Python Package Index and Bioconda. Documentation and example reports are available at http://multiqc.info Contact: phil.ewels@scilifelab.se
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                13 October 2021
                October 2021
                13 October 2021
                : 19
                : 10
                : e3001225
                Affiliations
                [1 ] Department of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
                [2 ] Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom
                [3 ] Division of Evolution and Genomic Sciences, University of Manchester, Manchester, United Kingdom
                [4 ] Department of Biology, University of York, York, United Kingdom
                [5 ] Department of Mathematics, University of York, York, United Kingdom
                Wageningen University, NETHERLANDS
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-4896-4592
                https://orcid.org/0000-0002-8095-8256
                https://orcid.org/0000-0002-2050-4631
                https://orcid.org/0000-0002-0396-6893
                https://orcid.org/0000-0002-6119-852X
                https://orcid.org/0000-0002-1307-2981
                https://orcid.org/0000-0003-0362-820X
                Article
                PBIOLOGY-D-21-00995
                10.1371/journal.pbio.3001225
                8544851
                34644303
                9f52067b-84f8-4e9d-86c4-18b391c0f7ca
                © 2021 Hall 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
                : 13 April 2021
                : 20 September 2021
                Page count
                Figures: 9, Tables: 0, Pages: 31
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000270, Natural Environment Research Council;
                Award ID: NE/R008825/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000270, Natural Environment Research Council;
                Award ID: NE/K011774/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 11490-COEVOCON
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 204822/Z/16/Z
                Award Recipient :
                Funded by: Academy of Medical Sciences
                Award ID: SBF005\1062
                Award Recipient :
                This work was supported by funding from NERC [to M.A.B., S.P., A.J.W., J.P.J.H. NE/R008825/1; to M.A.B., A.J.W. NE/K011774/1], an ERC Consolidator Grant [to M.A.B.; 11490-COEVOCON], an Academy of Medical Sciences Springboard Award [to J.P.J.H.; SBF005\1062], and funding from the Institutional Strategic Support Fund (ISSF) awarded by Wellcome Trust via the University of Liverpool [to J.P.J.H.; 204822/Z/16/Z]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Organisms
                Bacteria
                Pseudomonas
                Pseudomonas Fluorescens
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Genetics
                Biology and life sciences
                Genetics
                DNA
                Forms of DNA
                Plasmids
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                Forms of DNA
                Plasmids
                Biology and Life Sciences
                Genetics
                Genetic Elements
                Mobile Genetic Elements
                Plasmids
                Biology and Life Sciences
                Genetics
                Genomics
                Mobile Genetic Elements
                Plasmids
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                DNA construction
                Plasmid Construction
                Research and analysis methods
                Molecular biology techniques
                DNA construction
                Plasmid Construction
                Biology and Life Sciences
                Genetics
                Gene Disruption
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Fluorescence Competition
                Biology and life sciences
                Genetics
                Gene expression
                DNA transcription
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-10-25
                Data and example analysis scripts are available at https://github.com/jpjh/COMPMUT/ and at the University of Liverpool Datacat, doi: 10.17638/datacat.liverpool.ac.uk/1275. Short read sequences are available on NCBI-GEO short-read archive, project accession GSE151570.

                Life sciences
                Life sciences

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