Proteomic analysis of Allium cepa var. agrogarum L. roots under copper stress
Qin, Rong ; Ning, Chanjuan ; Björn, Lars Olof LU
and Li, Shaoshan
(2016)
In Plant and Soil
401.
p.197-212
- Abstract
- Aims: In the present study, the effects of Cu (2.0 and 8.0 μM) on root growth of Allium cepa var. agrogarum L. were addressed and protein abundance levels were analyzed using the technology of proteomics combined with transcriptomics, in order to go deeper into the understanding of the mechanism of Cu toxicity on plant root systems at the protein level and to provide valuable information for monitoring and forecasting the effects of exposure to Cu in real scenarios conditions.
Methods: Protein extraction; Two-dimensional electrophoresis (2-DE) analysis; Mass spectrometry analysis;
Establishment of the in-house database; Restriction enzyme map of the in-house database and protein
identification.
Results Root growth was... (More) - Aims: In the present study, the effects of Cu (2.0 and 8.0 μM) on root growth of Allium cepa var. agrogarum L. were addressed and protein abundance levels were analyzed using the technology of proteomics combined with transcriptomics, in order to go deeper into the understanding of the mechanism of Cu toxicity on plant root systems at the protein level and to provide valuable information for monitoring and forecasting the effects of exposure to Cu in real scenarios conditions.
Methods: Protein extraction; Two-dimensional electrophoresis (2-DE) analysis; Mass spectrometry analysis;
Establishment of the in-house database; Restriction enzyme map of the in-house database and protein
identification.
Results Root growth was dramatically inhibited after 12 h Cu treatment. By establishing an in-house database and using mass spectrometry analysis, 27 differentially abundant proteins were identified. These 27 proteins were involved in multiple biological processes including defensive response, transcription regulation and protein synthesis, cell wall synthesis, cell cycle and DNA replication, and other important functions.
Conclusions: Our results provide new insights at the proteomic level into the Cu-induced responses, defensive responses and toxic effects, and provide new molecular markers of the early events of plant responses to Cu toxicity. Moreover, the establishment of an in-house database provides a big improvement for proteomics
research on non-model plants.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3850c92b-4fab-4699-a80c-7a79ee5d31f9
- author
- Qin, Rong
; Ning, Chanjuan
; Björn, Lars Olof
LU
and Li, Shaoshan
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Allium cepa var. agrogarum L ., Proteomics, Transcriptomics, Defensive responses, Toxic effects
- in
- Plant and Soil
- volume
- 401
- pages
- 16 pages
- publisher
- Springer
- external identifiers
-
- scopus:84961206610
- wos:000372947800015
- ISSN
- 0032-079X
- DOI
- 10.1007/s11104-015-2741-9
- language
- English
- LU publication?
- yes
- id
- 3850c92b-4fab-4699-a80c-7a79ee5d31f9
- date added to LUP
- 2016-04-11 12:07:01
- date last changed
- 2023-08-21 15:19:32
@article{3850c92b-4fab-4699-a80c-7a79ee5d31f9,
abstract = {{Aims: In the present study, the effects of Cu (2.0 and 8.0 μM) on root growth of Allium cepa var. agrogarum L. were addressed and protein abundance levels were analyzed using the technology of proteomics combined with transcriptomics, in order to go deeper into the understanding of the mechanism of Cu toxicity on plant root systems at the protein level and to provide valuable information for monitoring and forecasting the effects of exposure to Cu in real scenarios conditions.<br/>Methods: Protein extraction; Two-dimensional electrophoresis (2-DE) analysis; Mass spectrometry analysis;<br/>Establishment of the in-house database; Restriction enzyme map of the in-house database and protein<br/>identification.<br/>Results Root growth was dramatically inhibited after 12 h Cu treatment. By establishing an in-house database and using mass spectrometry analysis, 27 differentially abundant proteins were identified. These 27 proteins were involved in multiple biological processes including defensive response, transcription regulation and protein synthesis, cell wall synthesis, cell cycle and DNA replication, and other important functions.<br/>Conclusions: Our results provide new insights at the proteomic level into the Cu-induced responses, defensive responses and toxic effects, and provide new molecular markers of the early events of plant responses to Cu toxicity. Moreover, the establishment of an in-house database provides a big improvement for proteomics<br/>research on non-model plants.<br/>}},
author = {{Qin, Rong and Ning, Chanjuan and Björn, Lars Olof and Li, Shaoshan}},
issn = {{0032-079X}},
keywords = {{Allium cepa var. agrogarum L .; Proteomics; Transcriptomics; Defensive responses; Toxic effects}},
language = {{eng}},
pages = {{197--212}},
publisher = {{Springer}},
series = {{Plant and Soil}},
title = {{Proteomic analysis of Allium cepa var. agrogarum L. roots under copper stress}},
url = {{http://dx.doi.org/10.1007/s11104-015-2741-9}},
doi = {{10.1007/s11104-015-2741-9}},
volume = {{401}},
year = {{2016}},
}