Title

A searchable database for the genome of Phomopsis longicolla (isolate MSPL 10-6)

Authors

Omar Darwish1,$, Shuxian Li2,$,*, Zane May1, Benjamin Matthews3, Nadim W. Alkharouf1⁺

Affiliation

1Department of Computer and Information Sciences, Towson University, MD 21252, USA; 2United States Department of Agriculture, Agricultural Research Service (USDA-ARS), Crop Genetics Research Unit, Stoneville, MS 38776, USA; 3USDA-ARS, Beltsville Agriculture Research Center, Beltsville, MD 21075, USA

Email

Shuxian Li – E-mail: shuxian.li@ars.usda.gov; $Equal contribution, *Corresponding author.

Article Type

Database

Date

Received May 9, 2016; Revised May 25, 206; Accepted May 26, 206; Published July 26, 2016

Phomopsis longicolla (syn. Diaporthe longicolla) is an important seed-borne fungal pathogen that primarily causes Phomopsis seed decay (PSD) in most soybean production areas worldwide. This disease severely decreases soybean seed quality by reducing seed viability and oil quality, altering seed composition, and increasing frequencies of moldy and/or split beans. To facilitate investigation of the genetic base of fungal virulence factors and understand the mechanism of disease development, we designed and developed a database for P. longicolla isolate MSPL 10-6 that contains information about the genome assemblies (contigs), gene models, gene descriptions and GO functional ontologies. A web-based front end to the database was built using ASP.NET, which allows researchers to search and mine the genome of this important fungus. This database represents the first reported genome database for a seed borne fungal pathogen in the Diaporthe–
Phomopsis complex. The database will also be a valuable resource for research and agricultural communities. It will aid in the development of new control strategies for this pathogen.

Citation

Citation: Darwish, Bioinformation 12(4): 233-236 (2016)

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.