Title

MAPKDB: A MAP kinase database for signal transduction element identification

Authors

Hamdan Ali Alshehri¹, Nadim W Alkharouf^*1, Omar Darwish², Brant T. McNeece³, Vincent P. Klink^3,4

Affiliation

¹Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USA; ²Department of Mathematics and Computer Science, Texas Woman’s University, Denton, TX 76204; ³Department of Biological Sciences, Mississippi State University, Mississippi State, MS 39762, USA; ⁴Center for Computational Sciences High Performance Computing Collaboratory, Mississippi State
University, Mississippi State, MS 39762, USA

Email

Nadim W Alkharouf - E-mail: nalkharouf@towson.edu; Phone: 410-704-3149; *Corresponding author

Article Type

Research Article

Date

Received April 25, 2019; Accepted April 26, 2019; Published May 15, 2019

The mitogen activated protein kinase (MAPK) cascade is a central signal transduction platform, ubiquitous within the eukaryotes. MAPKs function prominently in different essential cellular processes such as proliferation, differentiation, survival and defense to pathogen attack. The 32 MAPKs of Glycine max (soybean) have been examined functionally to determine if they have any defense role, focusing in on infection by the plant-parasitic nematode Heterodera glycines. Of these 32 MAPKs, 9 have been shown to have a defense function. Hence, the Mitogen Activated Protein Kinase database (MAPKDB) has been developed to assist in such research. The MAPKDB allows users to search the annotations with sequence data for G. max transgenic lines undergoing over expression (OE) or RNA interference (RNAi) of its defense map kinases. These defense MAPKs include map kinase 2 (MPK2), MPK3, MPK4, MPK5, MPK6, MPK13, MPK16, and MPK20. The database also contains data analysis information for each sample that helps to detect the differential expression of the genes identified within these samples. The database also contains data for each sample that helps to detect the differential expression of the genes identified within these samples. The database has been developed to manage G. max MAPK sequences with sequence alignment for 18 different samples along with two additional OE and RNAi control experiments for a total of 20.

Keywords

MAPKDB, MAP kinase, database, transduction elements, signalling

Citation

Alshehri et al. Bioinformation 15(5): 338-341 (2019)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.