Ontology highlight
ABSTRACT:
PROVIDER: PRJNA839939 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19330000_1.fastq.gz | Fastqsanger.gz | |||
| SRR19330000_2.fastq.gz | Fastqsanger.gz | |||
| SRR19330001_1.fastq.gz | Fastqsanger.gz | |||
| SRR19330001_2.fastq.gz | Fastqsanger.gz | |||
| SRR19330002_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 36 |
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Project description:In this study, we used transcriptomic and hormonomic approaches to examine drought-induced changes in barley roots and leaves and its rhizosphere. By studying hormonal responses, alternative splicing events in barley, and changes in the rhizosphere microbiome, we aimed to provide a comprehensive view of barley drought-adaptive mechanisms and potential plant-microbe interactions under drought stress. This approach improved our understanding of barley adaptive strategies and highlighted the importance of considering plant-microbe interactions in the context of climate change.
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Project description:Pritchard2014 - plant-microbe
interaction
This
model is an abstraction of a generic interaction between microbes,
and a plant host. The reactions are generally intended to be
representative of processes, not specific molecular mechanisms
(except where indicated, eg. for activation of receptors). The
model is intended to be of a similar level of abstraction as the
Zig-Zag model proposed in Jones and Dangl (2006) [PMID:
17108957
],
but
to represent a dynamic system. Jones and Dangl (2006) model is
used here to illustrate the advantages of dynamic representations
of systems over expository models such as the Zig-Zag
model.
This model is described in the article:
The zigzag model of
plant-microbe interactions: is it time to move on?
Pritchard L, Birch PR.
Mol. Plant Pathol. 2014 Dec; 15(9):
865-870
Abstract:
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2024-09-02 | BIOMD0000000563 | BioModels