Evidence map›Paper›PMID 23961360›Full record

ArticleSpringerPlus2012

Finding the undiscovered roles of genes: an approach using mutual ranking of coexpressed genes and promoter architecture-case study: dual roles of thaumatin like proteins in biotic and abiotic stresses.

Tahereh Deihimi, Ali Niazi, Mansour Ebrahimi, Kimia Kajbaf, Somaye Fanaee, Mohammad Reza Bakhtiarizadeh, Esmaeile Ebrahimie

Abstract read
In one paragraph

Article in SpringerPlus, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
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  3. Review
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  5. Genetic variants inFrontiers in genetics · 2024
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  7. Plants (Basel, Switzerland) · 2022
    Article
  8. Article
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  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Tahereh DeihimiInstitute of Biotechnology, Shiraz University, Shiraz, Iran.
Ali Niazi
Mansour Ebrahimi
Kimia Kajbaf
Somaye Fanaee
Mohammad Reza Bakhtiarizadeh
Esmaeile Ebrahimie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regarding the possible multiple functions of a specific gene, finding the alternative roles of genes is a major challenge. Huge amount of available expression data and the central role of the promoter and its regulatory elements provide unique opportunely to address this issue. The question is that how the expression data and promoter analysis can be applied to uncover the different functions of a gene. A computational approach has been presented here by analysis of promoter regulatory elements, coexpressed gene as well as protein domain and prosite analysis. We applied our approach on Thaumatin like protein (TLP) as example. TLP is of group 5 of pathogenesis related proteins which their antifungal role has been proved previously. In contrast, Osmotin like proteins (OLPs) are basic form of TLPs with proved role only in abiotic stresses. We demonstrated the possible outstanding homolouges involving in both biotic and abiotic stresses by analyzing 300 coexpressed genes for each Arabidopsis TLP and OLP in biotic, abiotic, hormone, and light microarray experiments based on mutual ranking. In addition, promoter analysis was employed to detect transcription factor binding sites (TFBs) and their differences between OLPs and TLPs. A specific combination of five TFBs was found in all TLPs presenting the key structure in functional response of TLP to fungal stress. Interestingly, we found the fungal response TFBs in some of salt responsive OLPs, indicating the possible role of OLPs in biotic stresses. Thirteen TFBS were unique for all OLPs and some found in TLPs, proposing the possible role of these TLPs in abiotic stresses. Multivariate analysis showed the possibility of estimating models for distinguishing biotic and abiotic functions of TIPs based on promoter regulatory elements. This is the first report in identifying multiple roles of TLPs and OLPs in biotic and abiotic stresses. This study provides valuable clues for screening and discovering new genes with possible roles in tolerance against both biotic and abiotic stresses. Interestingly, principle component analysis showed that promoter regulatory elements of TLPs and OLPs are more variable than protein properties reinforcing the prominent role of promoter architecture in determining gene function alteration.

Indexed as

Domain and prosite analysisGene expressionMultivariate analysisPromoter analysisStressThaumatin like proteins

Identifiers

PMID23961360
PMCPMC3725900

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.