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Provedor de dados:  ArchiMer
País:  France
Título:  Metagenomics-Based Proficiency Test of Smoked Salmon Spiked with a Mock Community
Autores:  Sala, Claudia
Mordhorst, Hanne
Grützke, Joesphine
Brinkmann, Annika
Petersen, Thomas N
Poulsen, Casper
Cotter, Paul D
Crispie, Fiona
Ellis, Richard J
Castellani, Gastone
Amid, Clara
Hakhverdyan, Mikhayil
Le Guyader, Soizick
Manfreda, Gerardo
Mossong, Joël
Nitsche, Andreas
Ragimbeau, Catherine
Schaeffer, Julien
Schlundt, Joergen
Tay, Moon Y. F.
Aarestrup, Frank M.
Hendriksen, Rene S.
Pamp, Sünje Johanna
De Cesare, Alessandra
Data:  2020-12
Ano:  2020
Palavras-chave:  Shotgun metagenomics
Smoked salmon
Proficiency test
Experimentally spiked samples
Wet-lab protocols
Resumo:  An inter-laboratory proficiency test was organized to assess the ability of participants to perform shotgun metagenomic sequencing of cold smoked salmon, experimentally spiked with a mock community composed of six bacteria, one parasite, one yeast, one DNA, and two RNA viruses. Each participant applied its in-house wet-lab workflow(s) to obtain the metagenomic dataset(s), which were then collected and analyzed using MG-RAST. A total of 27 datasets were analyzed. Sample pre-processing, DNA extraction protocol, library preparation kit, and sequencing platform, influenced the abundance of specific microorganisms of the mock community. Our results highlight that despite differences in wet-lab protocols, the reads corresponding to the mock community members spiked in the cold smoked salmon, were both detected and quantified in terms of relative abundance, in the metagenomic datasets, proving the suitability of shotgun metagenomic sequencing as a genomic tool to detect microorganisms belonging to different domains in the same food matrix. The implementation of standardized wet-lab protocols would highly facilitate the comparability of shotgun metagenomic sequencing dataset across laboratories and sectors. Moreover, there is a need for clearly defining a sequencing reads threshold, to consider pathogens as detected or undetected in a food sample.
Tipo:  Text
Idioma:  Inglês
Identificador:  https://archimer.ifremer.fr/doc/00664/77615/79636.pdf

https://archimer.ifremer.fr/doc/00664/77615/79671.pdf

DOI:10.3390/microorganisms8121861

https://archimer.ifremer.fr/doc/00664/77615/
Editor:  Multidisciplinary Digital Publishing Institute
Formato:  application/pdf
Fonte:  Microorganisms (2076-2607) (Multidisciplinary Digital Publishing Institute), 2020-12 , Vol. 8 , N. 12 , P. 1861 (16p.)
Direitos:  info:eu-repo/semantics/openAccess

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