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ICARDA Generation Genomic LIMS & GeMS

With the large amount of molecular data generated through the commissioned research of the Generation Challenge Program (GCP), it becomes imperative to provide tools to the researchers to store, organize and analyze the data and thus support decisions by stakeholders. Integrating molecular and phenotypic data is a step towards novel gene discovery for the development of new crop varieties with better adaptation to biotic and abiotic stresses and improved yield capacities.

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- ICARDA Generation Genome Management System (IGGeMS):

 

ICARDA Generation Genome Management System (IGGeMS) will manage classical genetic information and molecular characterization in an analogous way to that described in ICIS Chapter 18. The specific functions of IGGeMS are:

a) unique identification of genetic variants including molecular polymorphisms, sequences and traditional genes;


b) management of nomenclature of molecular variants;


c) identification of sources of different molecular variants;


d) identification of loci and alleles including molecular and physical mapping positions;


e) linkage of genes to traits and products.


 

- Gene Management System:

  • the convenient starting point for managing Gene’s information.

  • Integrated with ICIS Germplasm Management System database.

  • client / server web application: Users can access the ICARDA Gene Management System without any special programs, they need only an internet browser (and any operating system on the client’s side).

 

 

- users can specify several search criteria:

  • Accession name (GID)

  • Molecular Variant (MV)

  • Type of MV

  • Weight of MV (and range of MV Weight).

  • Type of Polymorphism Detector (PD)

  • Primer (s) used

  • PCR Conditions

  • Detection Color

  • Detection Machine

 

- GEMS: Managing molecular data - OBJECTIVES:

  • Unique identification of genetic variants (molecular polymorphisms, sequences and Traditional genes).

  • Management of molecular variants nomenclature.

  • Identification of sources of different molecular variants.

  • Identification of loci and alleles including molecular and physical mapping positions.

  • Linkage of genes to traits and products.

 

- Molecular Variant Data: Data are usually represented in two ways with gel based detection method

(1) 0’s and 1’s

(2) frequencies / intensity

(3) Crop is a diploid - (0 for alleles not present, 1 one copy of the allele present, I.e. heterozygote) or 2 (two copies of the allele present I.e a homozygote)

(4) For Hexaploid – (provision for presence of alleles up to six times

(5) For Sequencing PDs, variants are scored as:

A (adenine), G(guanine), C(cytosine), T(thymine), R (=G or A),Y(=C or T) or N(=A or C or G or T)

 

- The Gene Management System table structure in ICIS:

 

 

 

 

 

 

 

- REFERENCES:

  • Bioinformatics for Dummies by Jean-Michel Claverie and Cedric Notredame

  • Wiley publishing, Inc. Indianapolis, Indiana - 2003.