Shifting the limits in wheat research and breeding using a fully annotated reference genome

0494250 - ÚEB 2019 RIV US eng J - Článek v odborném periodiku
Appels, R. - Eversole, K. - Feuillet, C. - Keller, B. - Rogers, J. - Stein, N. - Pozniak, C. - Choulet, F. - Distelfeld, A. - Poland, J. - Abrouk, Michael - Fischer, I. - Alaux, M. - Bartoš, Jan - Bellec, A. - Berges, H. - Doležel, Jaroslav - Frenkel, Z. - Olsen, O.A. - Šimková, Hana - Singh, K. - Valárik, Miroslav - Van der Vossen, E.A.G. - Raats, D. - Toegelová, Helena - Vrána, Jan - Sourdille, P. - Golds, T. - Čížková, Jana - Akpinar, B.A. - N'Daiye, K. - Čihalíková, Jarmila - Kubaláková, Marie - Šafář, Jan - Alfama, F. - Holušová, Kateřina - Wright, J. - Balcárková, Barbora - Hu, Y. - Tulpová, Zuzana - Wang, L. … celkem 202 autorů
Shifting the limits in wheat research and breeding using a fully annotated reference genome.
Science. Roč. 361, č. 6403 (2018), č. článku eaar7191. ISSN 0036-8075. E-ISSN 1095-9203
Grant CEP: GA MŠMT(CZ) LO1204; GA ČR GA521/06/1723; GA ČR GA521/08/1629; GA ČR GAP501/10/1740; GA ČR(CZ) GAP501/12/2554; GA ČR GBP501/12/G090; GA ČR(CZ) GA14-07164S; GA ČR GA13-08786S
Institucionální podpora: RVO:61389030
Klíčová slova: TRITICUM-AESTIVUM L. * DRAFT GENOME * ADAPTATION
Obor OECD: Genetics and heredity (medical genetics to be 3)
Impakt faktor: 41.063, rok: 2018

n annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue-and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
Trvalý link: http://hdl.handle.net/11104/0287580