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ZENODO
Dataset . 2024
Data sources: ZENODO
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ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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Assessing microbiome population dynamics using wild-type isogenic standardized hybrid (WISH)-tags

Authors: Benjamin B. J. Daniel; Yves Steiger; Anna Sintsova; Christopher M. Field; Bidong D. Nguyen; Christopher Schubert; Yassine Cherrak; +3 Authors

Assessing microbiome population dynamics using wild-type isogenic standardized hybrid (WISH)-tags

Abstract

Microbiomes feature recurrent compositional structures under given environmental conditions. However, these patterns may conceal diverse underlying population dynamics that require intra-strain resolution. Here, we developed a genomic tagging system, termed wild-type isogenic standardized hybrid (WISH)-tags, that can be combined with quantitative PCR and next-generation sequencing for microbial strain enumeration. We experimentally validated the performance of 62 tags and showed they can be differentiated with high precision. WISH-tags were introduced into model and non-model bacterial members of the mouse and plant microbiota. Intra-strain priority effects were tested using one species of isogenic barcoded bacteria in the murine gut and the Arabidopsis phyllosphere, both with and without microbiota context. We observed colonization resistance against late arriving strains of Salmonella typhimurium in the mouse gut, whereas the phyllosphere accommodated Sphingomonas latecomers in a proportional manner to their presence at the late inoculation timepoint. This demonstrates that WISH-tags are a resource for deciphering population dynamics underlying microbiome assembly across biological systems.

Related Organizations
Keywords

WISH-tag, Arabidopsis thaliana, At-LSPHERE, microbiome, Oligo12MM, Priority effect, genomic barcoding

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average