Title

Authors

Affiliation

¹USDA-ARS, Soybean Genomics and Improvement Laboratory, Beltsville, MD 20705, USA; ²Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USA

Email

savi.natarajan@ars.usda.gov; *Corresponding author

Article Type

Database

Date

Received May 27, 2014; Accepted May 28, 2014; Published June 30, 2014

Soybean cyst nematode (Heterodera glycines, SCN) is the most destructive pathogen of soybean around the world. Crop rotation and resistant cultivars are used to mitigate the damage of SCN, but these approaches are not completely successful because of the varied SCN populations. Thus, the limitations of these practices with soybean dictate investigation of other avenues of protection of soybean against SCN, perhaps through genetically engineering of broad resistance to SCN. For better understanding of the consequences of genetic manipulation, elucidation of SCN protein composition at the subunit level is necessary. We have conducted studies to determine the composition of SCN proteins using a proteomics approach in our laboratory using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) to separate SCN proteins and to characterize the proteins further using mass spectrometry. Our analysis resulted in the identification of several hundred proteins. In this investigation, we developed a web based database (SCNProDB) containing protein information obtained from our previous published studies. This database will be useful to scientists who wish to develop SCN resistant soybean varieties through genetic manipulation and breeding efforts. The database is freely accessible.

Availability

http://bioinformatics.towson.edu/Soybean_SCN_proteins_2D_Gel_DB/Gel1.aspx

Keywords

Soybean, SCN, nematode, 2D-PAGE, MALDI-TOF-MS, LC-MS/MS, proteins.

Citation

Natarajan  et al. Bioinformation 10(6): 387-389 (2014)
 

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.