The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Proteome analysis of sugar beet leaves under drought stress
Abstract
Drought is one of the major factors limiting the yield of sugar beet (Beta vulgaris L.). The identification of candidate genes for marker‐assisted selection (MAS) could greatly improve the efficiency of breeding for increased drought tolerance. Drought‐induced changes in the proteome could highlight important genes. Two genotypes of sugar beet (7112 and 7219‐P.69) differing in genetic background were cultivated in the field. A line‐source sprinkler irrigation system was used to apply irrigated and water deficit treatments beginning at the four‐leaf stage. At 157 days after sowing, leaf samples were collected from well‐watered and drought‐stressed plants for protein extraction and to measure shoot biomass and leaf relative water content. Changes induced in leaf proteins were studied by two‐dimensional gel electrophoresis and quantitatively analyzed using image analysis software. Out of more than 500 protein spots reproducibly detected and analyzed, 79 spots showed significant changes under drought. Some proteins showed genotype‐specific patterns of up‐ or downregulation in response to drought. Twenty protein spots were analyzed by liquid chromatography‐tandem mass spectrometry (LC‐MS/MS), leading to identification of Rubisco and 11 other proteins involved in redox regulation, oxidative stress, signal transduction, and chaperone activities. Some of these proteins could contribute a physiological advantage under drought, making them potential targets for MAS.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Plant productivity and environment
Boyer, J. S. (1982) · Science · doi:10.1126/science.218.4571.443 · Cited by 3,959
Cited by
Kosová, K., Vítámvás, P., Prášil, I. T., & Renaut, J. (2011) · Journal of Proteomics · doi:10.1016/j.jprot.2011.02.006 · Cited by 852
Evolution of heat‐shock protein expression underlying adaptive responses to environmental stress
Chen, B., Feder, M. E., & Kang, L. (2018) · Molecular Ecology · doi:10.1111/mec.14769 · Cited by 267
Xu, C., Sibicky, T., & Huang, B. (2010) · Plant Cell Reports · doi:10.1007/s00299-010-0847-3 · Cited by 100
Metadata
- Authors
- Hajheidari, M., Abdollahian‐Noghabi, M., Askari, H., Heidari, M., Sadeghian, S. Y., Ober, E. S., & Hosseini Salekdeh, G.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2005-03
- Volume
- 5
- Issue
- 4
- Pages
- 950-960
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2081412942
- Cited by
- 285
- References
- 1
- FWCI
- 20.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proteome analysis of sugar beet leaves under drought stress. https://app.cochat.ai/papers/10.1002/pmic.200401101
- The paper
- Hajheidari, M., Abdollahian‐Noghabi, M., Askari, H., Heidari, M., Sadeghian, S. Y., Ober, E. S., & Hosseini Salekdeh, G. (2005). Proteome analysis of sugar beet leaves under drought stress. PROTEOMICS. https://doi.org/10.1002/pmic.200401101
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.