Observationmodel-written summary

Relative abundance of Sinobacteraceae and Nocardiaceae as well as Pseudomonadaceae was enhanced in the mature plant microbiota.

A claim from Cold plasma treatment ofArabidopsis thaliana(L.) seeds modulates plant-associated microbiome composition · 2020

Observationobservedoriginal resultmeasured

Claim · model-written summary

Relative abundance of Sinobacteraceae and Nocardiaceae as well as Pseudomonadaceae was enhanced in the mature plant microbiota.

Taxon
Arabidopsis thalianaArabidopsis thalianae0
Organ / stage
mature plante2
Interactor
SinobacteraceaeNevskiaceaee2symbiont
Second interactor
NocardiaceaeNocardiaceaee2symbiont
Outcome
relative abundance of Sinobacteraceae and Nocardiaceae as well as Pseudomonadaceaee2
Direction
enhancede2

Not reportedMaterialGeneCompoundTreatmentComparatorSettingValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Arabidopsis thaliana
Arabidopsis thaliana · TaxonOriginal uploader was Brona at en.wikipedia . User:Roepers at nl.wikipedia · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The objective of this study was to establish changes in the composition of plant-associated microbiome of Arabidopsis thaliana (L.) induced by cold plasma (CP) treatment of seeds”

✓ located verbatim in the source · abstract, characters 0–178
e2

“Changes in the composition of mature plant microbiota were mainly manifested by the enhanced relative abundance of Sinobacteraceae and Nocardiaceae as well as Pseudomonadaceae, Paenibacillaceae and Alcaligenaceae families”

✓ located verbatim in the source · abstract, characters 391–612

Title

Cold plasma treatment ofArabidopsis thaliana(L.) seeds modulates plant-associated microbiome composition

Inga Tamošiūnė; Dalia Gelvonauskienė; Lauryna Ragauskaitė; et al. Applied Physics Express 2020. doi:10.35848/1882-0786/ab9712

Other claims from this paper (3)

Record rev-e3c347e64ebb8e7bdbb5b5ad1add533c96cdb0d8d5e29f3449c561d9ea83e7f7 · schema claims-v0.9 · position 3 in the model’s answer