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      Population genomics confirms acquisition of drug-resistant Aspergillus fumigatus infection by humans from the environment

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          Abstract

          Infections caused by the fungal pathogen Aspergillus fumigatus are increasingly resistant to first-line azole antifungal drugs. However, despite its clinical importance, little is known about how susceptible patients acquire infection from drug-resistant genotypes in the environment. Here, we present a population genomic analysis of 218 A. fumigatus isolates from across the UK and Ireland (comprising 153 clinical isolates from 143 patients and 65 environmental isolates). First, phylogenomic analysis shows strong genetic structuring into two clades (A and B) with little interclade recombination and the majority of environmental azole resistance found within clade A. Second, we show occurrences where azole-resistant isolates of near-identical genotypes were obtained from both environmental and clinical sources, indicating with high confidence the infection of patients with resistant isolates transmitted from the environment. Third, genome-wide scans identified selective sweeps across multiple regions indicating a polygenic basis to the trait in some genetic backgrounds. These signatures of positive selection are seen for loci containing the canonical genes encoding fungicide resistance in the ergosterol biosynthetic pathway, while other regions under selection have no defined function. Lastly, pan-genome analysis identified genes linked to azole resistance and previously unknown resistance mechanisms. Understanding the environmental drivers and genetic basis of evolving fungal drug resistance needs urgent attention, especially in light of increasing numbers of patients with severe viral respiratory tract infections who are susceptible to opportunistic fungal superinfections.

          Abstract

          Whole-genome sequencing and population genomics of 218 Aspergillus fumigatus environmental and clinical isolates reveals strong genetic clustering and the occurrences of near-identical genotypes, indicating the infection of patients with resistant isolates from the environment.

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          Most cited references76

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

              Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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                Author and article information

                Contributors
                johanna.rhodes@imperial.ac.uk
                d.armstrong@imperial.ac.uk
                matthew.fisher@imperial.ac.uk
                Journal
                Nat Microbiol
                Nat Microbiol
                Nature Microbiology
                Nature Publishing Group UK (London )
                2058-5276
                25 April 2022
                25 April 2022
                2022
                : 7
                : 5
                : 663-674
                Affiliations
                [1 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Medical Research Council Centre for Global Disease Analysis, , Imperial College London, ; London, UK
                [2 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Department of Infectious Diseases, , Imperial College London, ; London, UK
                [3 ]GRID grid.429705.d, ISNI 0000 0004 0489 4320, Department of Medical Microbiology, , King’s College University Hospital, ; London, UK
                [4 ]GRID grid.8217.c, ISNI 0000 0004 1936 9705, Department of Clinical Microbiology, , Trinity College Dublin, ; Dublin, Ireland
                [5 ]GRID grid.7107.1, ISNI 0000 0004 1936 7291, Aberdeen Fungal Group, Institute of Medical Sciences, , University of Aberdeen, ; Aberdeen, UK
                [6 ]GRID grid.5379.8, ISNI 0000000121662407, Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, , The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, ; Manchester, UK
                [7 ]GRID grid.414348.e, ISNI 0000 0004 0649 0178, Microbiology Department, , Royal Glamorgan Hospital, Cwm Taf NHS Trust, ; Ynysmaerdy, UK
                [8 ]GRID grid.439475.8, ISNI 0000 0004 6360 002X, Public Health Wales Microbiology, ; Cardiff, UK
                [9 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Lee Kong Chian School of Medicine, , Nanyang Technological University, ; Singapore, Singapore
                [10 ]GRID grid.4912.e, ISNI 0000 0004 0488 7120, Respiratory Research Division, Department of Medicine, , Royal College of Surgeons in Ireland, Education and Research Centre, Beaumont Hospital, ; Dublin, Ireland
                [11 ]GRID grid.413305.0, ISNI 0000 0004 0617 5936, Department of Medical Microbiology, , Tallaght University Hospital, ; Dublin, Ireland
                [12 ]GRID grid.4563.4, ISNI 0000 0004 1936 8868, School of Life Sciences, , University of Nottingham, ; Nottingham, UK
                [13 ]Head Mycology Reference Laboratory, UK Health Security Agency, Bristol, UK
                [14 ]GRID grid.8391.3, ISNI 0000 0004 1936 8024, Medical Research Council Centre for Medical Mycology, , University of Exeter, ; Exeter, UK
                [15 ]GRID grid.415967.8, ISNI 0000 0000 9965 1030, Mycology Reference Centre, , Leeds Teaching Hospitals National Health Service Trust, ; Leeds, UK
                [16 ]GRID grid.429705.d, ISNI 0000 0004 0489 4320, Infection Sciences, , Kings College University Hospital, ; London, UK
                Author information
                http://orcid.org/0000-0002-1338-7860
                http://orcid.org/0000-0001-6722-2757
                http://orcid.org/0000-0002-5331-4711
                http://orcid.org/0000-0003-0417-7607
                http://orcid.org/0000-0001-8029-8406
                http://orcid.org/0000-0003-1271-2550
                http://orcid.org/0000-0002-7611-0201
                http://orcid.org/0000-0003-3056-4205
                http://orcid.org/0000-0001-6586-3358
                http://orcid.org/0000-0002-4811-2496
                http://orcid.org/0000-0002-1014-7343
                http://orcid.org/0000-0002-1862-6402
                Article
                1091
                10.1038/s41564-022-01091-2
                9064804
                35469019
                cc6a7db7-2e90-4566-8d8a-2b9776ffdb68
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 April 2021
                : 23 February 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000270, RCUK | Natural Environment Research Council (NERC);
                Award ID: NE/P001165/1
                Award ID: NE/P000916/1
                Award ID: NE/P001165/1
                Award ID: NE/P000916/1
                Award ID: NE/P001165/1
                Award ID: NE/P000916/1
                Award ID: NE/P000916/1
                Award ID: NE/P000916/1
                Award ID: NE/P001165/1
                Award ID: NE/P001165/1
                Award ID: NE/P000916/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000265, RCUK | Medical Research Council (MRC);
                Award ID: MR/R015600/1
                Award ID: MR/R015600/1
                Award ID: MR/N006364/2
                Award ID: MR/R015600/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust (Wellcome);
                Award ID: 097377
                Award ID: 219551/Z/19/Z
                Award ID: 219551/Z/19/Z
                Award ID: 097377
                Award ID: 219551/Z/19/Z
                Award ID: 219551/Z/19/Z
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000268, RCUK | Biotechnology and Biological Sciences Research Council (BBSRC);
                Award ID: BB/M010996/1
                Award ID: BB/M010996/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000292, Cystic Fibrosis Trust (CF);
                Award ID: SRC015
                Award Recipient :
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                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                genome evolution,rare variants
                genome evolution, rare variants

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