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      EFSA statement on the requirements for whole genome sequence analysis of microorganisms intentionally used in the food chain

      research-article
      European Food Safety Authority (EFSA)
      EFSA Journal
      John Wiley and Sons Inc.
      microorganisms, food chain, whole genome sequence‐based data, intentional use

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          Abstract

          Microorganisms, genetically modified or not, may be used in the food chain as such or as production organisms of substances of interest. The placement of such microorganisms or derived substances/products in the European market may be subject to a pre‐market authorisation process. The authorisation process defines the need to perform a risk assessment to establish the safety and/or the efficacy of the microorganisms when used in the food chain as such or as production strains of substances of interest. In order to perform a risk assessment, the microorganism/s subject to the application for authorisation need/s to be characterised. In this regard, data obtained from whole genome sequence analysis can provide information on the unequivocal taxonomic identification of the strains and on the characterisation of their potential functional traits of concern which may include virulence factors, resistance to antimicrobials of clinical relevance for humans and animals, production of known toxic metabolites. In fact, in some areas of the regulated products, the use of whole genome sequence‐based data has been established as a requirement for the risk assessment. This document provides recommendations to applicants on how to describe the process and results which should be provided to the risk assessor in the context of an application for market authorisation of a regulated product. Indications are given on how to perform WGS and the quality criteria/thresholds that should be reached as well as the data and relevant information that need to be sent along whenever such kind of data is required.

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          Most cited references18

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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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            DNA-DNA hybridization values and their relationship to whole-genome sequence similarities.

            DNA-DNA hybridization (DDH) values have been used by bacterial taxonomists since the 1960s to determine relatedness between strains and are still the most important criterion in the delineation of bacterial species. Since the extent of hybridization between a pair of strains is ultimately governed by their respective genomic sequences, we examined the quantitative relationship between DDH values and genome sequence-derived parameters, such as the average nucleotide identity (ANI) of common genes and the percentage of conserved DNA. A total of 124 DDH values were determined for 28 strains for which genome sequences were available. The strains belong to six important and diverse groups of bacteria for which the intra-group 16S rRNA gene sequence identity was greater than 94 %. The results revealed a close relationship between DDH values and ANI and between DNA-DNA hybridization and the percentage of conserved DNA for each pair of strains. The recommended cut-off point of 70 % DDH for species delineation corresponded to 95 % ANI and 69 % conserved DNA. When the analysis was restricted to the protein-coding portion of the genome, 70 % DDH corresponded to 85 % conserved genes for a pair of strains. These results reveal extensive gene diversity within the current concept of "species". Examination of reciprocal values indicated that the level of experimental error associated with the DDH method is too high to reveal the subtle differences in genome size among the strains sampled. It is concluded that ANI can accurately replace DDH values for strains for which genome sequences are available.
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              Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes.

              Advancement of DNA sequencing technology allows the routine use of genome sequences in the various fields of microbiology. The information held in genome sequences proved to provide objective and reliable means in the taxonomy of prokaryotes. Here, we describe the minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes.
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                Author and article information

                Contributors
                feedap@efsa.europa.eu
                Journal
                EFSA J
                EFSA J
                10.1002/(ISSN)1831-4732
                EFS2
                EFSA Journal
                John Wiley and Sons Inc. (Hoboken )
                1831-4732
                28 July 2021
                July 2021
                : 19
                : 7 ( doiID: 10.1002/efs2.v19.7 )
                : e06506
                Author notes
                [*] [* ] Correspondence: feedap@ 123456efsa.europa.eu
                Article
                EFS26506
                10.2903/j.efsa.2021.6506
                8317053
                34335919
                814a56c7-d21a-41c3-894c-514b0ba1f0f2
                © 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.

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                Page count
                Figures: 0, Tables: 1, Pages: 14, Words: 6907
                Categories
                Anim2953
                Statement
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                Custom metadata
                2.0
                July 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.4 mode:remove_FC converted:28.07.2021

                microorganisms,food chain,whole genome sequence‐based data,intentional use

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