Transcriptomics

Dataset Information

0

Proteomic and transcriptomic analyses indicate metabolic changes and reduced defense responses in mycorrhizal roots of Oeceoclades maculata (Orchidaceae) collected in nature


ABSTRACT: Orchids form an endomycorrhizal association with fungal symbionts mainly belonging to Basidiomycetes. The molecular events taking place in orchid mycorrhiza are poorly understood, although the cellular changes necessary to accommodate the fungus and to control nutrient exchange between the symbionts imply a modulation of gene expression. In this study, we used proteomic and transcriptomic approaches to identify changes in the steady-state levels of proteins and transcripts in roots of the green terrestrial orchid Oeceoclades maculata. When mycorrhizal and non-mycorrhizal roots from the same individuals of O. maculata were compared, 94 proteins showed differential accumulation using the label-free protein quantitation approach, 86 using isobaric tagging (iTRAQ) and 60 using 2D-differential electrophoresis. After de novo assembly of transcriptomic data, 11,179 plant transcripts were found to be differentially expressed and 2175 were successfully annotated. The annotated plant transcripts allowed the identification of up- and down-regulated metabolic pathways in mycorrhizal roots, as compared to non-mycorrhizal roots. Overall, proteomics and transcriptomics revealed in mycorrhizal roots increased levels of transcription factors and nutrient transporters, as well as ethylene-related proteins. The expression pattern of proteins and transcripts involved in plant defense responses suggest that plant defense is reduced in mycorrhizal roots. These results expand our current knowledge towards a better understanding of the orchid mycorrhizal symbiosis in adult plants under natural conditions.

ORGANISM(S): Oeceoclades maculata

PROVIDER: GSE155822 | GEO | 2020/08/07

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-01-31 | GSE159700 | GEO
2017-05-12 | PXD006102 | Pride
2015-06-01 | GSE60736 | GEO
2022-10-30 | MSV000090616 | MassIVE
2018-01-01 | GSE107845 | GEO
2015-02-06 | GSE63922 | GEO
2018-01-01 | GSE107647 | GEO
2016-07-20 | GSE76204 | GEO
2015-02-06 | E-GEOD-63922 | biostudies-arrayexpress
2022-10-30 | MSV000090615 | MassIVE