Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Aug 19;9(9):1056.
doi: 10.3390/plants9091056.

Genome-Wide Association Mapping for Stripe Rust Resistance in Pakistani Spring Wheat Genotypes

Affiliations

Genome-Wide Association Mapping for Stripe Rust Resistance in Pakistani Spring Wheat Genotypes

Madiha Habib et al. Plants (Basel). .

Abstract

Stripe rust caused by the pathogen Puccinia striiformis f. sp. tritici (Pst) is a major threat for wheat, resulting in low yield and grain quality loss in many countries. Genetic resistance is a prevalent method to combat the disease. Mapping the resistant loci and their association with traits is highly exploited in this era. A panel of 465 Pakistani spring wheat genotypes were evaluated for their phenotypic response to stripe rust at the seedling and adult plant stages. A total of 765 single nucleotide polymorphism (SNP) markers were applied on 465 wheat genotypes to evaluate their stripe rust response against nine races during the seedling test and in three locations for the field test. Currently, twenty SNPs dispersed on twelve chromosomal regions (1A, 1B, 1D, 2A, 2B, 4A, 4B, 5B, 6A, 6B, 6D and 7B) have been identified that were associated with rust race-specific resistance at the seedling stage. Thirty SNPs dispersed on eighteen chromosomal regions (1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 3D, 4B, 5A, 5B, 6A, 6B, 6D, 7A, 7B and 7D) are associated with adult plant resistance. SNP loci IWB3662 was linked with all three Pakistani races, and likewise IWA2344 and IWA4096 were found to be linked with three different USA races. The present research findings can be applied by wheat breeders to increase their resistant capability and yield potential of their cultivars, through marker-assisted selection.

Keywords: SNP; association mapping; genome-wide association studies; stripe rust; wheat.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflict of interest in the publication.

Figures

Figure 1
Figure 1
Infection distribution of the 465 spring wheat genotypes at the seedling stage based on their infection type (IT) score, tested with six stripe rust races from the USA.
Figure 2
Figure 2
Infection distribution of the 465 spring wheat genotypes at the seedling stage based on their infection type (IT) score, tested with three stripe rust races from Pakistan.
Figure 3
Figure 3
Infection distribution of 465 spring wheat genotypes at the adult plant stage and the stripe rust infection type (IT) score across three environments. Scoring for the adult plant response performed in three different environments (two years in Pakistan considered as one location and two locations in the USA).
Figure 4
Figure 4
Infection distribution of 465 spring wheat genotypes at the adult plant stage and the stripe rust disease severity (SEV) score across three environments. Scoring for the adult plant response performed in three different environments (two years in Pakistan considered as one location and two locations in the USA).
Figure 5
Figure 5
Estimated population structure of the 465 spring wheat genotypes (K = 3) based on the Q matrix using the single nucleotide polymorphism (SNP) markers. Q: three (K = 3) different subpopulations as Q1, Q2 and Q3.
Figure 6
Figure 6
Scatter plot of the linkage disequilibrium (LD) decay with the critical r2 value and the genetic chromosome distance (cm) for the whole genome. The red line shows the critical r2 value i.e., 0.12.

References

    1. Ogbonnaya F., Abdalla O., Mujeeb-Kazi A., Kazi A.G., Xu S.S., Gosman N., Lagudah E., Bonnett D., Sorrells M.E., Tsujimoto H. Synthetic Hexaploids: Harnessing Species of the Primary Gene Pool for Wheat Improvement. Plant Breed. 2013;37:35–122. doi: 10.1002/9781118497869.ch2. - DOI
    1. Farooq J., Khaliq I., Akbar M., Petrescu-mag I.V., Hussain M. Genetic analysis of some grain yield and its attributes at high temperature stress in wheat (Triticum aestivum L.) Ann. RSCB. 2015;19:71–81. doi: 10.ANN/RSCB-2015-0021:RSCB. - DOI
    1. Bhanupriya B., Satyanarayana N.H., Mukherjee S., Sarkar K.K. Genetic diversity of wheat genotypes based on principal component analysis in Gangetic alluvial soil of West Bengal. J. Crop. Weed. 2014;10:104–107.
    1. Wellings C. Global status of stripe rust: A review of historical and current threats. Euphytica. 2011;179:129–141. doi: 10.1007/s10681-011-0360-y. - DOI
    1. Mboup M., Leconte M., Gautier A., Wan A., Chen W., De Vallavieille-Pope C., Enjalbert J. Evidence of genetic recombination in wheat yellow rust populations of a Chinese oversummering area. Fungal Genet. Biol. 2009;46:299–307. doi: 10.1016/j.fgb.2008.12.007. - DOI - PubMed

LinkOut - more resources