Accessing a Russian Wheat Aphid Resistance Gene in Bread Wheat by Long-Read Technologies

0507496 - ÚEB 2020 RIV US eng J - Článek v odborném periodiku
Tulpová, Zuzana - Toegelová, Helena - Lapitan, N.L.V. - Peairs, F.B. - Macas, Jiří - Novák, Petr - Lukaszewski, A.J. - Kopecký, David - Mazáčová, Mira - Vrána, Jan - Holušová, Kateřina - LeRoy, P. - Doležel, Jaroslav - Šimková, Hana
Accessing a Russian Wheat Aphid Resistance Gene in Bread Wheat by Long-Read Technologies.
Plant Genome. Roč. 12, č. 2 (2019), č. článku 180065. E-ISSN 1940-3372
Grant CEP: GA ČR(CZ) GAP501/12/2554; GA MŠMT(CZ) LO1204
Institucionální podpora: RVO:61389030 ; RVO:60077344
Klíčová slova: TRITICUM-AESTIVUM * DIURAPHIS-NOXIA * CONFERRING RESISTANCE
Obor OECD: Genetics and heredity (medical genetics to be 3); Genetics and heredity (medical genetics to be 3) (BC-A)
Impakt faktor: 3.847, rok: 2019
Způsob publikování: Open access
http://dx.doi.org/10.3835/plantgenome2018.09.0065

Russian wheat aphid (RWA) ( Kurdjumov) is a serious invasive pest of small-grain cereals and many grass species. An efficient strategy to defy aphid attacks is to identify sources of natural resistance and transfer resistance genes into susceptible crop cultivars. Revealing the genes helps understand plant defense mechanisms and engineer plants with durable resistance to the pest. To date, more than 15 RWA resistance genes have been identified in wheat ( L.) but none of them has been cloned. Previously, we genetically mapped the RWA resistance gene into an interval of 0.83 cM on the short arm of chromosome 7D and spanned it with five bacterial artificial chromosome (BAC) clones. Here, we used a targeted strategy combining traditional approaches toward gene cloning (genetic mapping and sequencing of BAC clones) with novel technologies, including optical mapping and long-read nanopore sequencing. The latter, with reads spanning the entire length of a BAC insert, enabled us to assemble the whole region, a task that was not achievable with short reads. Long-read optical mapping validated the DNA sequence in the interval and revealed a difference in the locus organization between resistant and susceptible genotypes. The complete and accurate sequence of the region facilitated the identification of new markers and precise annotation of the interval, revealing six high-confidence genes. Identification of as the most likely candidate opens an avenue for its validation through functional genomics approaches.
Trvalý link: http://hdl.handle.net/11104/0298476