Genome-wide association analysis of stripe rust resistance in modern Chinese wheat

Jia, Mengjie; Yang, Lijun; Zhang, Wei; Rosewarne, Garry M.; Li, Junhui; Yang, Ennian; Chen, Ling; Wang, Wenxue; Liu, Yike; Hanwen, Tong; He, Wei-Jie; Zhang, Yuqing; Zhu, Zhiwei; Gao, Chunbao

doi:10.1186/s12870-020-02693-w

Cited by 24 publications

(23 citation statements)

References 58 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xbarc133 (7.61 Mb on 3BS) is linked to QYr.nafu-3BS , QYr.cim-3BS.2 , QYr.ucw-3BS , and QYr.uga-3BS.1 ( Hao et al, 2011 ; Lowe et al, 2011 ; Lan et al, 2014 ; Zhou et al, 2015b ). IWB12253 (9.1 Mb on 3BS) was reported as a significantly associated marker for QYr.hbaas-3BS ( Jia et al, 2020 ), and XwPt-3921 (13.97 Mb on 3BS) for QYrrb.ui-3B.1 ( Chen et al, 2012 ). Based on the marker positions, these QTL are all close to QYrCL.sicau-3BS.1 and QYrCL.sicau-3BS.2 , making it hard to distinguish among them.…”

Section: Discussionmentioning

confidence: 99%

“…As shown in Figure 6 , the landraces with low numbers of resistance QTL had high levels of stripe rust (DS, IT, and AUDPC) while the landraces with high numbers of resistance QTL had low levels of stripe rust. This indicates that pyramiding multiple loci is necessary to achieve a high level of resistance ( Jia et al, 2020 ). One of the challenges in breeding for stripe rust resistance is the lack of diverse effective resistance genes.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Genome-Wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP Array

et al. 2021

View full text Add to dashboard Cite

Stripe rust (caused by Puccinia striiformis f. sp. tritici) is one of the most severe diseases affecting wheat production. The disease is best controlled by developing and growing resistant cultivars. Chinese wheat (Triticum aestivum) landraces have excellent resistance to stripe rust. The objectives of this study were to identify wheat landraces with stable resistance and map quantitative trait loci (QTL) for resistance to stripe rust from 271 Chinese wheat landraces using a genome-wide association study (GWAS) approach. The landraces were phenotyped for stripe rust responses at the seedling stage with two predominant Chinese races of P. striiformis f. sp. tritici in a greenhouse and the adult-plant stage in four field environments and genotyped using the 660K wheat single-nucleotide polymorphism (SNP) array. Thirteen landraces with stable resistance were identified, and 17 QTL, including eight associated to all-stage resistance and nine to adult-plant resistance, were mapped on chromosomes 1A, 1B, 2A, 2D, 3A, 3B, 5A, 5B, 6D, and 7A. These QTL explained 6.06–16.46% of the phenotypic variation. Five of the QTL, QYrCL.sicau-3AL, QYrCL.sicau-3B.4, QYrCL.sicau-3B.5, QYrCL.sicau-5AL.1 and QYrCL.sicau-7AL, were likely new. Five Kompetitive allele specific PCR (KASP) markers for four of the QTL were converted from the significant SNP markers. The identified wheat landraces with stable resistance to stripe rust, significant QTL, and KASP markers should be useful for breeding wheat cultivars with durable resistance to stripe rust.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Genome-Wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP Array

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Combining the two resistance traits in one elite wheat cultivar is challenging due to its exposure to regulated independent genetic loci and also the restricted size of resistant germplasm in the natural environment ( Tamburic-Ilincic et al, 2009 ). In this study, 229 elite Chinese wheat cultivars and lines, which represent the genetic diversity in newly assembled accessions in China ( Jia et al, 2020 ), were investigated. A total of 54 cultivars reached the maximum annual acreage of 1 × 10 5 ha during 2000–2016, and quite a few cultivars such as Liangxing 99, Zhoumai 18, Jimai 22, Zhoumai 22, Zhengmai 9023, and Aikang 58, have been used as founder parents in breeding programs ( Jia et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…In this study, 229 elite Chinese wheat cultivars and lines, which represent the genetic diversity in newly assembled accessions in China ( Jia et al, 2020 ), were investigated. A total of 54 cultivars reached the maximum annual acreage of 1 × 10 5 ha during 2000–2016, and quite a few cultivars such as Liangxing 99, Zhoumai 18, Jimai 22, Zhoumai 22, Zhengmai 9023, and Aikang 58, have been used as founder parents in breeding programs ( Jia et al, 2020 ). Among them, 23 accessions showed a relatively high-level resistance with an average lesion length of less than 0.6 cm, exhibiting the potential for breeding for FSB resistance in wheat.…”

Section: Discussionmentioning

confidence: 99%

Investigation and Genome-Wide Association Analysis of Fusarium Seedling Blight Resistance in Chinese Elite Wheat Lines

Liu

Zhu

et al. 2021

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

Fusarium seedling blight (FSB) is an important disease of wheat occurring as part of the Fusarium disease complex consisting also of Fusarium head blight (FHB). 240 Chinese elite cultivars and lines were evaluated in greenhouse experiments for FSB resistance and genotyped using the wheat 90 K single nucleotide polymorphism arrays. Among them, 23 accessions had an average lesion length of less than 0.6 cm, exhibiting potential for breeding for FSB resistance in wheat. Jingfumai 1 and Yangmai 11 had a relatively high resistance to both FSB and FHB simultaneously. Six relatively stable quantitative trait loci (QTLs) were detected on chromosome arms 1DL, 3AS, 3BL, 6BL, 7AL, and Un using the mixed linear model approach, interpreting 4.83–7.53% of phenotypic variation. There was a negative correlation between the average FSB lesion length and the BLUE FHB index with a low coefficient, and resistance to both diseases appeared to be conferred by different QTLs across the same population. Four KASP markers were detected on 1DL, 3AS, 3BL, and 6BL in QTLs to facilitate marker-assisted selection. Combined with transcriptome data analysis, eight defense-related genes were considered as candidates for mapping QTLs. The resistant elite germplasm, mapped QTLs, and KASP markers developed in this study are useful resources for enhancing Fusarium seedling blight in wheat breeding.

show abstract

“…Briefly, this data contained a total of 34 K SNPs with a minor allele frequency >0.05, produced with a combination of chip array and genotyping-by-sequencing pipelines derived from an original chip array of 90 K SNPs (Russell et al, 2020). We performed GWAS on LSM freezing tolerance (see above) using a mixed linear model incorporating population structure and kinship matrix, following previous GWAS in wheat for other traits (Jia et al, 2020;Rahimi et al, 2019) in TASSEL v5.2 (Bradbury et al, 2007). The first three principal components (PCs) of the genotype matrix obtained using TASSEL v5.2 were used to correct for population structure.…”

Section: Genome-wide Association Analysismentioning

confidence: 99%

Genome‐wide association analysis of freezing tolerance in soft red winter wheat

et al. 2022

View full text Add to dashboard Cite

Freezing tolerance is likely to be an important adaptation for both natural populations and crop cultivars like winter wheat (Triticum aestivum L.). In the United States, winter wheat represents 80% of the total wheat production. Understanding the genetic basis of freezing tolerance in wheat furthers our knowledge of abiotic stress tolerance in plants and may inform breeding programs aimed at adjusting the level of freezing tolerance for a given region. We examined freezing tolerance in a 267-line panel of elite soft red winter wheat that has previously been used for genome-wide association study (GWAS) on agronomically important traits. We were specifically interested in determining the extent of genetic variation for freezing tolerance within the panel, what the genetic basis of that variation is, and if there are correlations between freezing tolerance and other agronomically important traits. We found significant variation in freezing tolerance among the lines, measured as survival through three total days at −8 ˚C. We performed a GWAS on freezing tolerance and identified 13 candidate loci, with nearby candidate genes involved in different functions potentially associated with freezing tolerance. In addition, we found significant correlations between freezing tolerance and seven previously published yield related traits. In summary, we found considerable variation in freezing tolerance in this panel that is associated with yield related traits. Thus, these lines may be useful for breeding programs seeking to optimize freezing tolerance for present and future climatic conditions. INTRODUCTIONWheat (Triticum aestivum L.) is one of the most important crops worldwide. It is cultivated in ∼200 million ha (http: //www.fao.org/faostat/en/#data/QC/visualize) (Zhao et al., 2013) and provided about 20% of all dietary calories consumed globally (

show abstract

Genome-wide association analysis of stripe rust resistance in modern Chinese wheat

Cited by 24 publications

References 58 publications

Genome-Wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP Array

Genome-Wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP Array

Investigation and Genome-Wide Association Analysis of Fusarium Seedling Blight Resistance in Chinese Elite Wheat Lines

Genome‐wide association analysis of freezing tolerance in soft red winter wheat

Contact Info

Product

Resources

About