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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Publications at this Location » Publication #328964
Title: A searchable database for the genome of Phomopsis longicolla (isolate MSPL 10-6)

Author
item DARWISH, OMAR - Towson University
item Li, Shuxian
item MAY, ZANE - Towson University
item Matthews, Benjamin - Ben
item ALKHAROUF, NADIM - Towson University

Submitted to: Bioinformation
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/25/2016
Publication Date: 7/25/2016
Citation: Darwish, O., Li, S., May, Z., Matthews, B.F., Alkharouf, N. 2016. A searchable database for the genome of Phomopsis longicolla isolate MSPL 10-6. Bioinformation. 12(4):233-236.

Interpretive Summary: Phomopsis seed decay severely decreases soybean seed quality by reducing seed viability and oil quality, altering seed composition, and increasing frequencies of moldy and/or split beans. It is one of the most economically important diseases in soybean. It is well-known that this disease is caused primarily by a seed-borne fungus. However, information about how the fungus causes the disease is lacking. In this study, we designed and developed a database that contains new information about the genetic make-up of this fungus. It will facilitate investigation of the genetic base of fungal virulence factors, understand the mechanism of disease development, and aid in the development of new control strategies for this pathogen. The database will also be a valuable resource for research and agricultural communities.

Technical Abstract: 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 MSPL10-6 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.