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      Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

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      1 , 2 , , 1 , 3 , , 1 , 1 , 1 , 4 , 1 , 5 , 6 , 1 , 1 , 4 , 1 , 4 , 1 , 1 , 4 , 1 , 4 , 7 , 8 , 9 , 9 , 10 , 11 , 12 , 13 , 13 , 5 , 5 , 6 , 14 , 15 , 16 , 15 , 17 , 17 , 17 , 18 , 19 , 19 , 20 , 21 , 22 , BARNARDS Group 23 , 1 , 24
      Nature Microbiology
      Nature Publishing Group UK
      Genomics, Antimicrobial resistance, Bacteriology

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          Abstract

          Antimicrobial resistance in neonatal sepsis is rising, yet mechanisms of resistance that often spread between species via mobile genetic elements, ultimately limiting treatments in low- and middle-income countries (LMICs), are poorly characterized. The Burden of Antibiotic Resistance in Neonates from Developing Societies (BARNARDS) network was initiated to characterize the cause and burden of antimicrobial resistance in neonatal sepsis for seven LMICs in Africa and South Asia. A total of 36,285 neonates were enrolled in the BARNARDS study between November 2015 and December 2017, of whom 2,483 were diagnosed with culture-confirmed sepsis. Klebsiella pneumoniae ( n = 258) was the main cause of neonatal sepsis, with Serratia marcescens ( n = 151), Klebsiella michiganensis ( n = 117), Escherichia coli ( n = 75) and Enterobacter cloacae complex ( n = 57) also detected. We present whole-genome sequencing, antimicrobial susceptibility and clinical data for 916 out of 1,038 neonatal sepsis isolates (97 isolates were not recovered from initial isolation at local sites). Enterobacterales ( K. pneumoniae, E. coli and E. cloacae) harboured multiple cephalosporin and carbapenem resistance genes. All isolated pathogens were resistant to multiple antibiotic classes, including those used to treat neonatal sepsis. Intraspecies diversity of K. pneumoniae and E. coli indicated that multiple antibiotic-resistant lineages cause neonatal sepsis. Our results will underpin research towards better treatments for neonatal sepsis in LMICs.

          Abstract

          Genomic and clinical analysis of 916 bacterial isolates from neonates with sepsis in seven low- and middle-income countries (the BARNARDS study) reveals that the main species present were antimicrobial-resistant Klebsiella, Escherichia coli and Enterobacter.

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          Most cited references49

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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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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

              The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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                Author and article information

                Contributors
                kirsty.sands@zoo.ox.ac.uk
                mjcarvalho@ua.pt
                Journal
                Nat Microbiol
                Nat Microbiol
                Nature Microbiology
                Nature Publishing Group UK (London )
                2058-5276
                29 March 2021
                29 March 2021
                2021
                : 6
                : 4
                : 512-523
                Affiliations
                [1 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, Division of Infection and Immunity, , Cardiff University, ; Cardiff, UK
                [2 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Department of Zoology, , University of Oxford, ; Oxford, UK
                [3 ]GRID grid.7311.4, ISNI 0000000123236065, Institute of Biomedicine, Department of Medical Sciences, , University of Aveiro, ; Aveiro, Portugal
                [4 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, Centre for Trials Research, , Cardiff University, ; Cardiff, UK
                [5 ]GRID grid.416685.8, ISNI 0000 0004 0647 037X, National Hospital Abuja, ; Abuja, Nigeria
                [6 ]54gene, Lagos, Nigeria
                [7 ]GRID grid.2515.3, ISNI 0000 0004 0378 8438, Division of Medical Critical Care, , Boston Children’s Hospital, ; Boston, MA USA
                [8 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Pediatrics, , Harvard Medical School, ; Boston, MA USA
                [9 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Epidemiology, , Harvard T.H. Chan School of Public Health, ; Boston, MA USA
                [10 ]GRID grid.460724.3, Department of Obstetrics and Gynecology, , St Paul’s Hospital Millennium Medical College, ; Addis Ababa, Ethiopia
                [11 ]GRID grid.460724.3, Department of Microbiology, Immunology and Parasitology, , St Paul’s Hospital Millennium Medical College, ; Addis Ababa, Ethiopia
                [12 ]Division of Bacteriology, ICMR–National Institute of Cholera and Enteric Diseases, Kolkata, India
                [13 ]GRID grid.414764.4, ISNI 0000 0004 0507 4308, Department of Neonatology, , Institute of Postgraduate Medical Education & Research, ; Kolkata, India
                [14 ]Federal Medical Centre – Jabi, Abuja, Nigeria
                [15 ]GRID grid.412621.2, ISNI 0000 0001 2215 1297, Department of Microbiology, , Quaid-i-Azam University, ; Islamabad, Pakistan
                [16 ]GRID grid.417348.d, ISNI 0000 0000 9687 8141, Pakistan Institute of Medical Sciences, ; Islamabad, Pakistan
                [17 ]GRID grid.452755.4, ISNI 0000 0004 0563 1469, The National Reference Laboratory, , Rwanda Biomedical Centre, ; Kigali, Rwanda
                [18 ]GRID grid.11956.3a, ISNI 0000 0001 2214 904X, Unit of IPC, , Stellenbosch University, ; Cape Town, South Africa
                [19 ]GRID grid.508073.9, Infection Control Africa Network, ; Cape Town, South Africa
                [20 ]GRID grid.11956.3a, ISNI 0000 0001 2214 904X, Department of Global Health, , Stellenbosch University, ; Cape Town, South Africa
                [21 ]GRID grid.11956.3a, ISNI 0000 0001 2214 904X, Division of Medical Microbiology, , Stellenbosch University, ; Cape Town, South Africa
                [22 ]GRID grid.417371.7, ISNI 0000 0004 0635 423X, National Health Laboratory Service, , Tygerberg Hospital, ; Cape Town, South Africa
                [23 ] https://www.barnards-group.com
                [24 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Ineos Oxford Institute for Antimicrobial Research, , Department of Zoology, ; Oxford, UK
                Author information
                http://orcid.org/0000-0001-5049-4481
                http://orcid.org/0000-0001-6819-927X
                http://orcid.org/0000-0002-6934-2928
                http://orcid.org/0000-0002-5987-5923
                http://orcid.org/0000-0001-6188-5947
                http://orcid.org/0000-0002-9243-2622
                http://orcid.org/0000-0002-3165-5566
                http://orcid.org/0000-0001-9070-5247
                http://orcid.org/0000-0003-4315-4096
                Article
                870
                10.1038/s41564-021-00870-7
                8007471
                33782558
                df6b1390-fa89-427f-b8ff-356a94be0437
                © The Author(s) 2021

                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
                : 21 January 2020
                : 22 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000865, Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation);
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                © The Author(s), under exclusive licence to Springer Nature Limited 2021

                genomics,antimicrobial resistance,bacteriology
                genomics, antimicrobial resistance, bacteriology

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