18
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Nuclear and mitochondrial genome sequencing of North-African Leishmania infantum isolates from cured and relapsed visceral leishmaniasis patients reveals variations correlating with geography and phenotype

      brief-report

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Although several studies have investigated genetic diversity of Leishmania infantum in North Africa, genome-wide analyses are lacking. Here, we conducted comparative analyses of nuclear and mitochondrial genomes of seven L. infantum isolates from Tunisia with the aim to gain insight into factors that drive genomic and phenotypic adaptation. Isolates were from cured ( n=4) and recurrent ( n=3) visceral leishmaniasis (VL) cases, originating from northern ( n=2) and central ( n=5) Tunisia, where respectively stable and emerging VL foci are observed. All isolates from relapsed patients were from Kairouan governorate (Centre); one showing resistance to the anti-leishmanial drug Meglumine antimoniate. Nuclear genome diversity of the isolates was analysed by comparison to the L. infantum JPCM5 reference genome. Kinetoplast maxi and minicircle sequences (1 and 59, respectively) were extracted from unmapped reads and identified by blast analysis against public data sets. The genome variation analysis grouped together isolates from the same geographical origins. Strains from the North were very different from the reference showing more than 34 587 specific single nucleotide variants, with one isolate representing a full genetic hybrid as judged by variant frequency. Composition of minicircle classes within isolates corroborated this geographical population structure. Read depth analysis revealed several significant gene copy number variations correlating with either geographical origin (amastin and Hsp33 genes) or relapse (CLN3 gene). However, no specific gene copy number variation was found in the drug-resistant isolate. In contrast, resistance was associated with a specific minicircle pattern suggesting Leishmania mitochondrial DNA as a potential novel source for biomarker discovery.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            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
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              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
                Bookmark

                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                October 2020
                25 September 2020
                25 September 2020
                : 6
                : 10
                : mgen000444
                Affiliations
                [ 1] Institut Pasteur, Hub Bioinformatique et biostatistique , 28 Rue du Dr Roux, 75015 Paris, France
                [ 2] Institut Pasteur, INSERM U1201, Unité de Parasitologie moléculaire et Signalisation, Département des Parasites et Insectes vecteurs , 25 Rue du Dr Roux, 75015 Paris, France
                [ 3] departmentLaboratoire de recherche, LR 16IPT09, Bioinformatique, Biomathématiques et Biostatistiques , Institut Pasteur de Tunis, Université Tunis El-Manar , 13 Place Pasteur, Tunis, Tunisie
                [ 4] departmentLaboratoire de Parasitologie , Hôpital de la Timone , Marseille, France
                [ 5] Laboratoire de Parasitologie et Mycologie Médicale , CHU de Nantes, Nantes, France
                [ 6] departmentLaboratoire de recherche, LR 16IPT06, Parasitoses médicales, Biotechnologies et Biomolécules , Institut Pasteur de Tunis, Université Tunis El-Manar , 13 Place Pasteur, Tunis, Tunisie
                Author notes
                *Correspondence: Aïda Bouratbine, aida.bouratbine@ 123456pasteur.rns.tn
                Author information
                https://orcid.org/0000-0002-4078-7413
                https://orcid.org/0000-0001-9988-3250
                https://orcid.org/0000-0002-8448-0720
                https://orcid.org/0000-0003-2443-114X
                https://orcid.org/0000-0002-0256-2029
                https://orcid.org/0000-0001-7049-7030
                Article
                000444
                10.1099/mgen.0.000444
                7660250
                32975503
                9c8783a7-6efb-4521-9d82-6c60ec5142e8
                © 2020 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License.

                History
                : 05 March 2020
                : 13 September 2020
                Funding
                Funded by: Institut Pasteur
                Award Recipient : Aïda Bouratbine
                Categories
                Short Communication
                Microbial evolution and epidemiology: Population Genomics
                Custom metadata
                0

                leishmania infantum,whole genome sequencing,mitochondrial dna,comparative genomics,visceral leishmaniasis,tunisia,relapse,antimony resistance

                Comments

                Comment on this article