Literature DB >> 23573074

The Arabidopsis stress responsive gene database.

Subhomoi Borkotoky1, Vijayakumar Saravanan, Amit Jaiswal, Bipul Das, Suresh Selvaraj, Ayaluru Murali, P T V Lakshmi.   

Abstract

Plants in nature may face a wide range of favorable or unfavorable biotic and abiotic factors during their life cycle. Any of these factors may cause stress in plants; therefore, they have to be more adaptable to stressful environments and must acquire greater response to different stresses. The objective of this study is to retrieve and arrange data from the literature in a standardized electronic format for the development of information resources on potential stress responsive genes in Arabidopsis thaliana. This provides a powerful mean for manipulation, comparison, search, and retrieval of records describing the nature of various stress responsive genes in Arabidopsis thaliana. The database is based exclusively on published stress tolerance genes associated with plants.

Entities:  

Year:  2013        PMID: 23573074      PMCID: PMC3613098          DOI: 10.1155/2013/949564

Source DB:  PubMed          Journal:  Int J Plant Genomics        ISSN: 1687-5389


1. Introduction

Stress response is the general term for defining the interaction between plants and the extreme environmental conditions. The study of mechanisms of adaptation to stressful and extreme environments provides the basis for addressing environmental, toxicological, and physiological problems [1]. Changes in the expression of individual genes and proteins induced by stress have been monitored under different conditions. As of the year 2000, the sequence of the Arabidopsis thaliana genome is nearly completed, and soon a catalog of plant gene expression exceeding a million transcripts will be available [2]. Here, we have listed the stress responsive genes for Arabidopsis thaliana (thale cress), a member of the mustard family, that has become a widely used model for the study of plant biology because of its small size, short generation time, facile genetics, and ease of transformation [3]. There are few databases that have been designed for stress responsive genes in plants. Plant Stress Gene Database [4] include 259 stress-related genes of 11 species along with all the available information about the individual genes. While it contains only 33 genes from Arabidopsis thaliana, our database contains 637 gene entries related to stress response in Arabidopsis thaliana. Another example—STIFDB—Arabidopsis Stress Responsive Transcription Factor Database [5], is a comprehensive collection of abiotic stress responsive genes in Arabidopsis thaliana, with options to identify probable transcription factor binding sites in their promoters, which is limited to only abiotic stress. Apart from these, we have The Arabidopsis Information Resource (TAIR) [6, 7], genetic and molecular biology data for the model higher plant Arabidopsis thaliana, which is more widespread to different aspects apart from the stress response, which makes it difficult to look for only stress related genes. We have listed around 44 types of different stress factors related to Arabidopsis thaliana, and the database contains 636 gene entries related to stress response with their related information like gene ID, nucleotide and protein sequences, cross-response, and so forth. The database is based exclusively on published stress responsive genes associated with plants. This database also include BLAST [8] search interface for both nucleotide and proteins. The database is freely available and could be accessed via http://srgdb.bicpu.edu.in/.

2. Materials and Methods

2.1. Data Collection

An extensive literature search has been carried out to identify the potential Arabidopsis thaliana genes involved in stress tolerance and stress response. Those literatures that have reported stress tolerance or stress responsive gene have been manually curated to identify the presence of any cross-response. Genomic and proteomic data for the collected gene have been obtained from the TAIR. Apart from these, the database also contains gene expression data obtained from Genevestigator [9] and Arabidopsis Gene Family Profiler (aGFP) [10].

2.2. Databse Architecture

The Arabidopsis Stress Responsive Gene Database (ASRGDB) has been constructed and configured using typical LAMP (Linux, Apache, MySQL, and PHP) server. Data was stored as a MySQL table using MySQL 5.5, and the MySQL structure model for the ASRGDB is shown in Figure 1.
Figure 1

Database structure of ASRGDB.

2.3. Database Access

The database can be queried in a various way, unlike the only browsing option in Plant Stress Gene Database. Various keywords, complete or partial, could be searched against the various fields in the database. For easy search, we have included a unique identification number ASDBID to the database. The searchable fields include ASDBID, Response, Cross-response, Gene ID, and Gene name. The results for the search query have been displayed in a user-friendly table view for easy access. A legend is also given in the search tab to guide the users and to directly access the particular stress type with a single click.

2.4. Blast Search

The database also has the provision of performing a BLAST search against the ATSRGDB. Both protein and nucleotide sequences can be queried separately. BLAST 2.2.25+ version is used with BLSOUM62 matrix, Gap penalties of 11 and extension 1. The window size for the multiple hit is set to 40 (default). The BLAST hit result is directly linked to the database, and, hence, the hit record can be directly accessed from the BLAST result page.

2.5. Database Update

The ATSRGDB also provides interface to update the database. The user can add the new data into the database but not allowed to modify or delete the existing data. The new entry requires the following mandatory field TAIRID, Chromosome number, Response, and Reference. All the entries will be subjected to extensive manual validation. The user has to register to make an entry into database. Database design and interface has been developed using PHP and MySQL. BLAST searches were carried out using PERL scripts.

3. Results and Discussion

The ASRGDB includes a total of 636 records with 44 different types of stress responses. The distribution of different response types in the database is tabulated in Table 1. Salt response and oxidative responsive genes were found to be abundant (139 and 132, resp.), when compared to the other stress types in the database. Out of 636 stress responsive genes, 238 were found to have cross-response with other stress types. Among all, only 9 genes were known not to have coding proteins. The database provides search facility in five different fileds of the database. The database also provides the user to perform a BLAST search against the sequences in the database (both protein and nucleotide).
Table 1

Distribution of different stress types in ARGDB.

Response typeTotal genes
Salt139
Oxidative132
Stress75
Biotic10
Drought31
Osmotic30
Heat28
Abiotic26
Dehydration19
Cadmium15
Cold15
Endoplasmic reticulum13
Light11
Abscisic acid11
Aluminium10
Water8
Chitin3
Salinity response2
Freezing2
Genotoxic2
Photooxidative2
F box2
Pathogen2
Cation1
Sugar1
Kinase1
Phosphate1
UV1
Temperature1
Dessication1
Ethylene1
Touch1
Potassium1
DNA damage1
Karrikin1
Cellular1
Chilling1
Hydrogen peroxide1
Reactive oxygen species1
Wound1
Metal1
Magnesium1
Sodium1
Malondialdehyde1
With this different facility, the Arabidopsis stress responsive gene database stands as a centralized source of information for scientific investigators who are interested in plant stress physiology, mainly Arabidopsis thaliana. This database provides a powerful mean for manipulation, comparison, search, and retrieval of records describing the nature of stress responsive genes in Arabidopsis thaliana. The database will be updated and curated every six months including individual submissions made by the user. As of future, the addition of more stress-related genes with related information and regular updates with the improvements of several sequencing and analysis techniques will make this database more useful to the research community.
  8 in total

1.  GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox.

Authors:  Philip Zimmermann; Matthias Hirsch-Hoffmann; Lars Hennig; Wilhelm Gruissem
Journal:  Plant Physiol       Date:  2004-09       Impact factor: 8.340

Review 2.  Molecular and evolutionary basis of the cellular stress response.

Authors:  Dietmar Kültz
Journal:  Annu Rev Physiol       Date:  2005       Impact factor: 19.318

Review 3.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

4.  Sequence and analysis of chromosome 2 of the plant Arabidopsis thaliana.

Authors:  X Lin; S Kaul; S Rounsley; T P Shea; M I Benito; C D Town; C Y Fujii; T Mason; C L Bowman; M Barnstead; T V Feldblyum; C R Buell; K A Ketchum; J Lee; C M Ronning; H L Koo; K S Moffat; L A Cronin; M Shen; G Pai; S Van Aken; L Umayam; L J Tallon; J E Gill; M D Adams; A J Carrera; T H Creasy; H M Goodman; C R Somerville; G P Copenhaver; D Preuss; W C Nierman; O White; J A Eisen; S L Salzberg; C M Fraser; J C Venter
Journal:  Nature       Date:  1999-12-16       Impact factor: 49.962

5.  The Arabidopsis Information Resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant.

Authors:  E Huala; A W Dickerman; M Garcia-Hernandez; D Weems; L Reiser; F LaFond; D Hanley; D Kiphart; M Zhuang; W Huang; L A Mueller; D Bhattacharyya; D Bhaya; B W Sobral; W Beavis; D W Meinke; C D Town; C Somerville; S Y Rhee
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

6.  STIFDB-Arabidopsis Stress Responsive Transcription Factor DataBase.

Authors:  K Shameer; S Ambika; Susan Mary Varghese; N Karaba; M Udayakumar; R Sowdhamini
Journal:  Int J Plant Genomics       Date:  2009-10-18

7.  The Arabidopsis Information Resource (TAIR): gene structure and function annotation.

Authors:  David Swarbreck; Christopher Wilks; Philippe Lamesch; Tanya Z Berardini; Margarita Garcia-Hernandez; Hartmut Foerster; Donghui Li; Tom Meyer; Robert Muller; Larry Ploetz; Amie Radenbaugh; Shanker Singh; Vanessa Swing; Christophe Tissier; Peifen Zhang; Eva Huala
Journal:  Nucleic Acids Res       Date:  2007-11-05       Impact factor: 16.971

8.  Arabidopsis Gene Family Profiler (aGFP)--user-oriented transcriptomic database with easy-to-use graphic interface.

Authors:  Nikoleta Dupl'áková; David Renák; Patrik Hovanec; Barbora Honysová; David Twell; David Honys
Journal:  BMC Plant Biol       Date:  2007-07-23       Impact factor: 4.215

  8 in total
  10 in total

Review 1.  Stress-induced chromatin changes in plants: of memories, metabolites and crop improvement.

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2.  Arabidopsis Qc-SNARE gene AtSFT12 is involved in salt and osmotic stress responses and Na(+) accumulation in vacuoles.

Authors:  Vaishali N Tarte; Hye-Yeon Seok; Dong-Hyuk Woo; Dinh Huan Le; Huong T Tran; Ji-Won Baik; In Soon Kang; Sun-Young Lee; Taijoon Chung; Yong-Hwan Moon
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4.  AtERF71/HRE2, an Arabidopsis AP2/ERF Transcription Factor Gene, Contains Both Positive and Negative Cis-Regulatory Elements in Its Promoter Region Involved in Hypoxia and Salt Stress Responses.

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Journal:  Int J Mol Sci       Date:  2022-05-10       Impact factor: 6.208

5.  Transcriptional, metabolic and DNA methylation changes underpinning the response of Arundo donax ecotypes to NaCl excess.

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Journal:  Planta       Date:  2019-12-17       Impact factor: 4.116

6.  GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response.

Authors:  Rim Zaag; Jean Philippe Tamby; Cécile Guichard; Zakia Tariq; Guillem Rigaill; Etienne Delannoy; Jean-Pierre Renou; Sandrine Balzergue; Tristan Mary-Huard; Sébastien Aubourg; Marie-Laure Martin-Magniette; Véronique Brunaud
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 19.160

7.  DroughtDB: an expert-curated compilation of plant drought stress genes and their homologs in nine species.

Authors:  Svenja Alter; Kai C Bader; Manuel Spannagl; Yu Wang; Eva Bauer; Chris-Carolin Schön; Klaus F X Mayer
Journal:  Database (Oxford)       Date:  2015-05-15       Impact factor: 3.451

8.  A genome-wide transcriptome map of pistachio (Pistacia vera L.) provides novel insights into salinity-related genes and marker discovery.

Authors:  Maryam Moazzzam Jazi; Seyed Mahdi Seyedi; Esmaeil Ebrahimie; Mansour Ebrahimi; Gianluca De Moro; Christopher Botanga
Journal:  BMC Genomics       Date:  2017-08-17       Impact factor: 3.969

Review 9.  Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.

Authors:  Luca Ambrosino; Chiara Colantuono; Gianfranco Diretto; Alessia Fiore; Maria Luisa Chiusano
Journal:  Plants (Basel)       Date:  2020-05-06

10.  Dissection of early transcriptional responses to water stress in Arundo donax L. by unigene-based RNA-seq.

Authors:  Yuan Fu; Michele Poli; Gaurav Sablok; Bo Wang; Yanchun Liang; Nicola La Porta; Violeta Velikova; Francesco Loreto; Mingai Li; Claudio Varotto
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  10 in total

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