The system GRIS is intended for information service of the breeding programs and genetic researches of wheat and triticale. It contains the passport data for 171 000 varieties and lines (names and synonyms) – accession name, accession number, pedigree, botanical species and variety, growth habit, geographical origin, identified gene alleles, synonym, genetic status, year of registration, originator, recommended region for cultivation, years of use, maturing, market class, milling and baking quality, reaction to biotic and abiotic stressors (resistance/ tolerance/ moderate resistance/ susceptibility), sensitivity/ insensitivity (to day length, gibberellic acid etc., morphological traits. Some accessions have the incomplete information. So, pedigrees are known for 145 000 (84%) accessions, resistance/ susceptibility to rusts, smut and other stressors – for 40%, identified alleles of some genes – for 27% accessions.
The search of the accession in the database is possible by accession name, or by one of the synonym names, or by a registration number of a gene bank. The name of the accession should be written by capital letters. The fragments of the name incorporate by hyphen, the alphabetic fragments are separated from digital similarly. For example, for search of the Canadian durum wheat cultivar AC-NAVIGATOR in the Search window it is necessary to write its name (AC-NAVIGATOR), or name of one of synonyms (DT-673 or 8980-AG-2-E), or one of national registration numbers, for example, K-64352 (catalogue VIR), or PI-610666 (introduction number in USA).
The advanced search provides search of the records satisfying to given conditions for chosen fields a databases. For any field it is possible to set presence (contains) or absence (not contains) of substring, empty or not empty field, to use regular expressions (matches). For example, search of varieties, in which name contains substring ABO (Name, contains, ABO) gives set of 95 cultivars (ABO, ALKABO, CDC-ABOUND, CABORKA-79, DIABOLO, GABOTO, ILUBABOR, NABOB etc.). The search of varieties beginning with substring ABO (Name, matches, ^ABO) gives set 10 cultivars (ABO, ABOLA, ABOND-3, ABONDANCE, ABONY etc.). Search varieties whose names end substring ABO (Name, matches, ABO$) gives the set of 14 cultivars (ABO, ALKABO, FUSHIABO, GABO, SHIROCHABO etc.). The regular expressions allow to set much more complex patterns of search. When setting restrictions in several fields is used logical AND and logical OR. The advanced search for genes (gene search) allows to choose the accessions with the given alleles of genes in the event of polymorphism. For example, it is possible to choose the accessions with allele c in the locus Glu-B1, when the glutenin profile are written down not only as Glu-B1c, but also Glu-B1b/c/d.
With the help of filters make the lists of the accessions satisfying to the given requirements. The filtered lists can be exported in a format of Excel files.
The pedigrees of cultivars (Accession Pedigree) can be traced up to original ancestors - landraces and lines with a unknown origin. The developed pedigree is represented graphically as a tree. If some ancestor is one of cultivars - homonyms and in a pedigree is not specified, what should be chosen from them, the tracing of the given branch of a pedigree stops. In this case it is possible to return to the option Accession List, to choose from several homonyms the necessary variety and to construct its developed pedigree.
GRIS contains the data from national gene of banks, research laboratories, official lists of cultivars, etc – 4 156 sources were used. The information is accompanied by references. So as to receive the contextual information it is necessary to click on number of the reference.
The data are unified with the existing international standards. The standards used in GRIS system are given in the dictionaries. They should guide the setting of filters for advanced search.
The developers of Information system of wheat genetic resources will be grateful to the users for the remarks and offers on improvement of GRIS.
|Database manager:||Sergey Martynov (email)||N.I.Vavilov Research Institute of Plant Industry (VIR), St.Petersburg, Russia|
|Data by:||Tatiana Dobrotvorskaya||N.I.Vavilov Research Institute of Plant Industry (VIR), St.Petersburg, Russia|
|Web application by:||Dmitry Dobrotvorskiy||International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey|