Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

We used three approaches to map the yellow rust resistance gene Yr7 and identify associated SNPs in wheat. First, we used a traditional QTL mapping approach using a double haploid (DH) population and mapped Yr7 to a low-recombination region of chromosome 2B. To fine map the QTL, we then used an association mapping panel. Both populations were SNP array genotyped allowing alignment of QTL and genome-wide association scans based on common segregating SNPs. Analysis of the association panel spanning the QTL interval, narrowed the interval down to a single haplotype block. Finally, we used mapping-by-sequencing of resistant and susceptible DH bulks to identify a candidate gene in the interval showing high homology to a previously suggested Yr7 candidate and to populate the Yr7 interval with a higher density of polymorphisms. We highlight the power of combining mapping-by-sequencing, delivering a complete list of gene-based segregating polymorphisms in the interval with the high recombination, low LD precision of the association mapping panel. Our mapping-by-sequencing methodology is applicable to any trait and our results validate the approach in wheat, where with a near complete reference genome sequence, we are able to define a small interval containing the causative gene.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159211PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0231157PLOS

Publication Analysis

Top Keywords

yellow rust
8
rust resistance
8
resistance gene
8
association mapping
8
mapping panel
8
interval
6
yr7
5
framework gene
4
mapping
4
gene mapping
4

Similar Publications

Strong yellow color, caused by carotenoid accumulation, in semolina flour made from durum wheat ( L. subsp. (Desf.

View Article and Find Full Text PDF

Genomic Prediction Paves Way for the Identification of Multiple Rust Resistant Genotypes in Bread Wheat ( L.).

Plant Dis

August 2025

ICAR - National Bureau of Plant Genetic Resources, Divison of Genomic Resources, Lab 1, ICAR-NBPGR, Pusa Campus, New Delhi, New Delhi, DL, India, 110012;

Over the past two decades, genomic prediction (GP), also known as genomic selection (GS), has been widely adopted in plant and animal breeding programs worldwide. GP is a promising approach that utilizes genomic markers to estimate genomic-estimated breeding values (GEBVs), facilitating the selection of superior individuals. In this study, we assessed the performance of five GP models- Genomic Best Linear Unbiased Prediction (GBLUP), Reproducing Kernel Hilbert Space regression (RKHS) and Bayesian methods (BayesA, BayesB, and BayesC)-for predicting seedling and adult plant resistance (APR) to leaf/brown rust (LR), stem/black rust (SR), and yellow/stripe rust (YR) in wheat using a panel of 347 diverse germplasm accessions.

View Article and Find Full Text PDF

The fungal pathogen f. sp. , which causes yellow rust disease, poses a significant economic threat to wheat production not only in Uzbekistan but also globally, leading to substantial reductions in grain yield.

View Article and Find Full Text PDF

Adult-plant resistance to yellow rust, caused by Puccinia striiformis f. sp. tritici, is a durable type of resistance in wheat (Triticum aestivum L.

View Article and Find Full Text PDF