2026-04-13T07:39:57Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.12327/5782025-10-22T11:12:06Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT
author
Soriano, Jose Miguel
author
Alvaro, Fanny
other
Producció Vegetal
group
Cultius Extensius Sostenibles
2025-10-22T11:12:06Z
2025-10-22T11:12:06Z
2019-07-22
Soriano, Jose Miguel, and Fanny Alvaro. 2019. "Discovering Consensus Genomic Regions In Wheat For Root-Related Traits By QTL Meta-Analysis". Scientific Reports 9 (1). Springer Science and Business Media LLC. doi:10.1038/s41598-019-47038-2.
2045-2322
http://hdl.handle.net/20.500.12327/578
https://doi.org/10.1038/s41598-019-47038-2
Root system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using marker-assisted selection is an efficient way to increase selection efficiency and boost genetic gains in breeding programmes. Hundreds of QTLs have been identified for different root traits in the last few years. In the current study, consensus QTL regions were identified through QTL meta-analysis. First, a consensus map comprising 7352 markers was constructed. For the meta-analysis, 754 QTLs were retrieved from the literature and 634 of them were projected onto the consensus map. Meta-analysis grouped 557 QTLs in 94 consensus QTL regions, or meta-QTLs (MQTLs), and 18 QTLs remained as singletons. The recently published genome sequence of wheat was used to search for gene models within the MQTL peaks. As a result, gene models for 68 of the 94 Root_MQTLs were found, 35 of them related to root architecture and/or drought stress response. This work will facilitate QTL cloning and pyramiding to develop new cultivars with specific root architecture for coping with environmental constraints.
eng
Attribution 4.0 International
Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis
info:eu-repo/semantics/article