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7B Physical map

Targeted chromosomes

Click on a chromosome to access associated data (when available) at URGI Sequences Repository.

Project team

First nameLast nameEmailInstitutionCountry
Sigbjorn Lien sigbjorn.lienSPAMFILTER@ihf.nlh.no CIGENE Norway
Åsmund Bjørnstad Norway
Morten Lillemo Norway
Matthew Peter Kent matthew.peter.kentSPAMFILTER@umb.no CIGENE Norway
Muath Alsheikh malsheikhSPAMFILTER@graminor.no Graminor Norway
Jon Arne Diseth Norway
Magne Gullord magne.gullordSPAMFILTER@graminor.no Graminor Norway
Shahryar Kianian s.kianianSPAMFILTER@ndsu.edu North Dakota State University USA
Tatiana Belova tatiana.belovaSPAMFILTER@umb.no Norwegian University of Life Sciences Norway
Ajay Kumar Gupta North Dakota State University USA

Project collaborators

First nameLast nameEmailInstitutionCountry
Jaroslav Dolezel dolezelSPAMFILTER@ueb.cas.cz IEB Czech Republic

Project funding

This project was funded by the Norwegian Research Council and includes funding for survey sequencing and high quality reference sequencing of 7B.


The objective of this project is to construct a physical map of chromosome 7B as a platform for full sequence analysis. In addition, our project aims at resequencing Norwegian cultivars with the aim to develop a SNP chip for marker assisted breeding by Graminor Inc.

The primary research task is to sequence chromosome 7B. In order to achieve this goal, we will construct and anchor to the genetic map, a physical map of the chromosome 7B of Chinese Spring (Research Task 1). This will be done by first constructing BAC libraries for each of the two chromosome arms 7Bs and 7BL, then assemble these into contigs representing the order of DNA segments in the chromosome arms. Bioinformatics tools will be used to structure, relate and comprehensively analyze the large scale genomics data. Databases for data archival, management and dissemination, tools for genomic sequence analysis, and an integrative database for the display of genetic and physical maps linked to markers, traits and phenotypes will be developed based on the existing CIGENE infrastructure. Data will be integrated with the EU-wide TriticeaeGenome bioinformatics platform and other IWGSC bioinformatics efforts and will be linked to established international cereal bioinformatics platforms such as Gramene. These assemblies will then be sequenced to produce a genomic sequence of 7B (Research Task 2). These activities are at the international forefront of plant genomics, and will position Norway as a member of the leading group in plant genome research. In addition to sequencing, the project aims at developing a comprehensive set of molecular markers for Graminors wheat breeding program (Research task 3). As outlined above these markers will be designed based on the resequencing of Norwegian wheat breeding materials based on the genomic sequence from the entire IWGSC project.

Physical maps for 7BS and 7BL have been assembled using LTC from high information content fluorescent (HICF) fingerprints from 22,617 (7BS) and 60,798 (7BL) BACs from chromosome arm libraries developed in the lab of J. Dolozel (IEB, Czech Republic) (see CNRGV page ). The assembled maps contain 255 (7BS) and 286 (7BL) contigs respectively.

Radiation-hybrid mapping of 7B wheat chromosome is underway in a collaboration beween the groups in North-Dakota (project leader Shahryar F. Kianian) and Norway (Project leader Odd-Arne Olsen). The material for mapping was developed by crossing irradiated "Langdon" wheat (AABB) (dosages 25, 35, 45 krad) with "Langdon" 7D (7B) substitution line. 3500 RH1 seeds were developed, and around 1200 planted. DNA has been extracted. An SSR marker set is currently being tested in order to identify a set of lines for the physical mapping of genes identified in the ongoing sequencing of 7B. The work is being done by grad. student Tatiana Belova (Norway) and Dr.Ajay Kumar Gupta (North Dakota).


  • Utilization of deletion bins to anchor and order sequences along the wheat 7B chromosome. Tatiana Belova, Lars Grønvold, Ajay Kumar, Shahryar Kianian, Xinyao He, Morten Lillemo, Nathan M. Springer, Sigbjørn Lien, Odd-Arne Olsen, Simen R. Sandve (2014). Theoretical and Applied Genetics 127(9): 2029-2040. Doi 10.1007/s00122-014-2358-z