Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

RKN Lethal DB

General information

URL: http://bioinformatics.towson.edu/RKN
Full name: A database for the identification of Root Knot Nematode candidate lethal genes
Description: RKN Lethal DB is a database for the identification of Root Knot Nematode (Meloidogyne spp.) candidate lethal genes. This database will be useful to scientists seeking to identify candidate genes as targets for gene silencing to confer resistance in plants to RKN.
Year founded: 2012
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: United States

Contact information

University/Institution: Towson University
Address: Department of Computer and Information Sciences, Towson University, 8000 York Road, Towson, MD 21252, USA.
City: Towson
Province/State:
Country/Region: United States
Contact name (PI/Team): Nadim W Alkharouf
Contact email (PI/Helpdesk): nalkharouf@towson.edu

Publications

23144556
RKN Lethal DB: A database for the identification of Root Knot Nematode (Meloidogyne spp.) candidate lethal genes. [PMID: 23144556]
Ismail A, Matthews BF, Alkharouf NW.

Root Knot nematode (RKN; Meloidogyne spp.) is one of the most devastating parasites that infect the roots of hundreds of plant species. RKN cannot live independently from their hosts and are the biggest contributors to the loss of the world's primary foods. RNAi gene silencing studies have demonstrated that there are fewer galls and galls are smaller when RNAi constructs targeted to silence certain RKN genes are expressed in plant roots. We conducted a comparative genomics analysis, comparing RKN genes of six species: Meloidogyne Arenaria, Meloidogyne Chitwoodi, Meloidogyne Hapla, Meloidogyne Incognita, Meloidogyne Javanica, and Meloidogyne Paranaensis to that of the free living nematode Caenorhabditis elegans, to identify candidate genes that will be lethal to RKN when silenced or mutated. Our analysis yielded a number of such candidate lethal genes in RKN, some of which have been tested and proven to be effective in soybean roots. A web based database was built to house and allow scientists to search the data. This database will be useful to scientists seeking to identify candidate genes as targets for gene silencing to confer resistance in plants to RKN.
AVAILABILITY: The database can be accessed from http://bioinformatics.towson.edu/RKN/

Bioinformation. 2012:8(19) | 1 Citations (from Europe PMC, 2026-02-07)

Ranking

All databases:
6895/6932 (0.548%)
Genotype phenotype and variation:
1004/1012 (0.889%)
Gene genome and annotation:
2025/2039 (0.736%)
6895
Total Rank
1
Citations
0.071
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Record metadata

Created on: 2018-01-29
Curated by:
Pei Wang [2018-03-08]
Pei Wang [2018-02-24]