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      Evaluation of whole-genome enrichment and sequencing of T. pallidum from FFPE samples after 75 years

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          Summary

          The recent developments in genomic sequencing have permitted the publication of many new complete genome sequences of Treponema pallidum pallidum, the bacterium responsible for syphilis, which has led to a new understanding of its phylogeny and diversity. However, few archived samples are available, because of the degradability of the bacterium and the difficulties in preservation.

          We present a complete genome obtained from a Formalin-Fixed Paraffin-Embedded (FFPE) organ sample from 1947, kept at the Strasbourg Faculty of Medicine. This is the preliminary, proof-of concept study of this collection/biobank of more than 1.5 million FFPE samples and the evaluation of the feasibility of genomic analyses.

          We demonstrate here that even degraded DNA from fragile bacteria can be recovered from 75-year-old FFPE samples and therefore propose that such collections as this one can function as sources of biological material for genetic studies of pathogens, cancer, or even the historical human population itself.

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          Highlights

          • FFPE samples can still be used for genomic studies 75 years after embedding

          • Whole-genome enrichment can be successful even with fragile degraded bacteria

          • A new avenue of research into symptom-strain correlation in diseases like syphilis

          • Archived FFPE samples and medical records constitute potential biobanks of samples

          Abstract

          Medical microbiology; Medical biotechnology

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          Most cited references42

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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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            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                08 December 2023
                19 January 2024
                08 December 2023
                : 27
                : 1
                : 108651
                Affiliations
                [1 ]SAGE Laboratory, CNRS UMR 7363, Strasbourg, France
                [2 ]Strasbourg Institute of Legal Medicine, Strasbourg, France
                [3 ]Interfaculty Centre for Bioethics and Medical Humanities, University of Geneva, Geneva, Switzerland
                [4 ]University Hospitals of Geneva, HUG, Geneva, Switzerland
                [5 ]BABEL Laboratory, CNRS UMR 8045, Paris, France
                Author notes
                []Corresponding author vincent.zvenigorosky@ 123456gmail.com
                [6]

                Lead contact

                Article
                S2589-0042(23)02728-1 108651
                10.1016/j.isci.2023.108651
                10753063
                38155769
                0c93ff53-576c-477b-a5f5-18ef3e63734f
                © 2023 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 4 July 2023
                : 13 September 2023
                : 4 December 2023
                Categories
                Article

                medical microbiology,medical biotechnology
                medical microbiology, medical biotechnology

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