MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms
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Authors
Fátima, Jorge
Brealey, Jaelle
Brindley, Paul
Buysse, Marie
Duron, Olivier
Fichorova, Raina
Fitzpatrick, Connor
Hahn, Megan
Hunter, Christopher
Hervé, Vincent
Laura, Knoll
Kohl, Kevin D
Lalle, Marco
Lukeš, Julius
Martínez Martínez, Joaquín
Perkins, Susan L
Poulin, Robert
Rosario, Karyna
Schneider, Adam C
Schriml, Lynn M
Thompson, Luke R
Walls, Ramona L
Dheilly, Nolwenn M
Publication Date
2022-12Journal Title
ISME Communications
ISSN
2730-6151
Publisher
Springer Nature
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Fátima, J., Brealey, J., Brindley, P., Buysse, M., Cantacessi, C., Duron, O., Fichorova, R., et al. (2022). MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms. ISME Communications https://doi.org/10.1038/s43705-022-00092-w
Abstract
The symbiont-associated (SA) environmental package is a new extension to the minimum information about any (x) sequence (MIxS) standards, established by the Parasite Microbiome Project (PMP) consortium, in collaboration with the Genomics Standard Consortium. The SA was built upon the host-associated MIxS standard, but reflects the nestedness of symbiont associated microbiota within and across host-symbiont-microbe interactions. This package is designed to facilitate the collection and reporting of a broad range of metadata information that apply to symbionts such as life history traits, association with one or multiple host organisms, or
the nature of host-symbiont interactions along the mutualism-parasitism continuum. To better reflect the inherent nestedness of all biological systems, we present a novel feature that allows users to co-localize samples, to nest a package within another package, and to identify replicates.
Adoption of the MIxS-SA and of the new terms will facilitate reports of complex sampling design from a myriad of environments
Keywords
Human Genome, Genetics, Infection
Identifiers
External DOI: https://doi.org/10.1038/s43705-022-00092-w
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331948
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