High-Resolution Mapping of the Novel Early Leaf Senescence Gene Els2 in Common Wheat

Wang, Na; Xie, Yanzhou; Li, Yingzhuang; Wu, Shengnan; Li, Shuxian; Guo, Yu; Wang, Chengshe

doi:10.3390/plants9060698

Cited by 8 publications

(6 citation statements)

References 61 publications

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“…As shown in Fig. 1-b, the LF2099 mutant is a progeny obtained from common wheat H261 after EMS mutagenesis, and phenotypically shows the characteristics of premature leaf aging, which had been identi ed as true and effective (Geng et al 2019;Wang et al 2020a). XiNong 239 is a new wheat variety resistant to scab produced by the College of Agriculture of Northwest A&F University(Xie et al 2020) (Fig.…”

Section: Methodsmentioning

confidence: 99%

Molecular mapping of two novel frost resistance genes in common wheat by 660k SNP array

Lei

Cheng

et al. 2023

Preprint

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Low temperature freezing injury has always been one of the natural factors leading to serious yield reduction of wheat. How to improve the frost resistance of wheat has always been the focus of breeders and geneticists. However, the genetic improvement of wheat frost resistance has been slow, mainly due to the fact that frost resistance is a complex quantitative trait, and field phenotypic identification is relatively difficult. Therefore, the discovery of wheat frost resistance genes and the mapping and cloning of frost resistance genes not only provide a theoretical basis for the genetic improvement of wheat frost resistance, but also help to analyze the molecular mechanism of wheat frost resistance. In this study, the wheat line H261 and its EMS mutants LF2099 and XiNong 239 were used as materials. Frost-resistance / non frost-resistance trait segregation was found in the F2 generation of the mutant LF2099 and XiNong 239, and the separation ratio was 15:1. Genetic analysis showed that the frost resistance of wheat was controlled by two dominant overlapping genes, temporarily named Fr-3 and Fr-4. BSA combined with SNP array was used to locate the frost resistance gene. Fr-3 was located between SSR marker BU100519 and KASP marker AX-94843669. The genetic distance between markers was 1.32 cM, and the corresponding physical interval on Chinese Spring 2B chromosome was 5.41 Mb, including 67 genes with functional annotation. Fr-4 was located between the KASP marker AX-94657955 and the SSR marker LC-23. The genetic distance between the markers was 1.79 cM, and the corresponding physical interval on the Chinese Spring 2D chromosome was 2.35 Mb, containing 66 functional annotation genes. Compared with previous studies, Fr-3 and Fr-4 were two new frost resistance genes, which laid the foundation for the fine mapping and cloning of Fr-3 and Fr-4.

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Section: Methodsmentioning

confidence: 99%

Molecular mapping of two novel frost resistance genes in common wheat by 660k SNP array

Lei

Cheng

et al. 2023

Preprint

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“…A major QTL (Qyrnap.nwafu-2BS) for stripe rust resistance was identified on chromosome arm 2BS following BSA and the wheat 660 K SNP array analysis in an F 2:3 population [19]. The early leaf senescence gene Els2 was mapped in an F 2 population using BSA and the wheat 660 K SNP arrays [53]. However, a few studies had shown that BSA-660 K SNP arrays can be used to identify QTL for agronomic traits in low generations of wheat.…”

Section: The Feasibility Of Qtl Mapping Of Quantitative Traits Using ...mentioning

confidence: 99%

Identification and validation of a major QTL for kernel length in bread wheat based on two F3 biparental populations

Xie

Liu

et al. 2022

BMC Genomics

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Background High yield and quality are essential goals of wheat (Triticum aestivum L.) breeding. Kernel length (KL), as a main component of kernel size, can indirectly change kernel weight and then affects yield. Identification and utilization of excellent loci in wheat genetic resources is of great significance for cultivating high yield and quality wheat. Genetic identification of loci for KL has been performed mainly through genome-wide association study in natural populations or QTL mapping based on genetic linkage map in high generation populations. Results In this study, an F3 biparental population derived from the cross between an EMS mutant BLS1 selected from an EMS-induced wheat genotype LJ2135 (derived from the hybrid progeny of a spelt wheat (T. spelta L.) and a common wheat) mutant bank and a local breeding line 99E18 was used to rapidly identify loci controlling KL based on Bulked Segregant Analysis (BSA) and the wheat 660 K single-nucleotide polymorphism (SNP) array. The highest ratio of polymorphic SNPs was located on chromosome 4A. Linkage map analysis showed that 33 Kompetitive Allele Specific PCR markers were linked to the QTL for KL (Qkl.sicau-BLE18-4A) identified in three environments as well as the best linear unbiased prediction (BLUP) dataset. This QTL explained 10.87—19.30% of the phenotypic variation. Its effect was successfully confirmed in another F3 population with the two flanking markers KASP-AX-111536305 and KASP-AX-110174441. Compared with previous studies and given that the of BLS1 has the genetic background of spelt wheat, the major QTL was likely a new one. A few of predicted genes related to regulation of kernel development were identified in the interval of the detected QTL. Conclusion A major, novel and stable QTL (Qkl.sicau-BLE18-4A) for KL was identified and verified in two F3 biparental populations across three environments. Significant relationships among KL, kernel width (KW) and thousand kernel weight (TKW) were identified. Four predicted genes related to kernel growth regulation were detected in the interval of Qkl.sicau-BLE18-4A. Furthermore, this study laid foundation on subsequent fine mapping work and provided a possibility for breeding of elite wheat varieties.

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“…Most studies involved widely dispersed SSR markers and there are no reports on the application of QTL for chlorophyll content in wheat breeding. A few major stay green QTLs have been fine-mapped ( Li et al, 2018 ; Wang et al, 2020a ; Gupta et al, 2020 ). For example, the F 2 population involving early senescence mutant M114 with significantly reduced chlorophyll content in flag leaves was analyzed by BSR-Seq, and the els1 gene was located in the WGGB303–WGGB305 marker interval of 2BS, with 1.5 cM genetic distance ( Li et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes

et al. 2022

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Chlorophyll content of the flag leaf is an important trait for drought resistance in wheat under drought stress. Understanding the regulatory mechanism of flag leaf chlorophyll content could accelerate breeding for drought resistance. In this study, we constructed a recombinant inbred line (RIL) population from a cross of drought-sensitive variety DH118 and drought-resistant variety Jinmai 919, and analyzed the chlorophyll contents of flag leaves in six experimental locations/years using the Wheat90K single-nucleotide polymorphism array. A total of 29 quantitative trait loci (QTLs) controlling flag leaf chlorophyll were detected with contributions to phenotypic variation ranging from 4.67 to 23.25%. Twelve QTLs were detected under irrigated conditions and 18 were detected under dryland (drought) conditions. Most of the QTLs detected under the different water regimes were different. Four major QTLs (Qchl.saw-3B.2, Qchl.saw-5A.2, Qchl.saw-5A.3, and Qchl.saw-5B.2) were detected in the RIL population. Qchl.saw-3B.2, possibly more suitable for marker-assisted selection of genotypes adapted to irrigated conditions, was validated by a tightly linked kompetitive allele specific PCR (KASP) marker in a doubled haploid population derived from a different cross. Qchl.saw-5A.3, a novel stably expressed QTL, was detected in the dryland environments and explained up to 23.25% of the phenotypic variation, and has potential for marker-assisted breeding of genotypes adapted to dryland conditions. The stable and major QTLs identified here add valuable information for understanding the genetic mechanism underlying chlorophyll content and provide a basis for molecular marker–assisted breeding.

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High-Resolution Mapping of the Novel Early Leaf Senescence Gene Els2 in Common Wheat

Cited by 8 publications

References 61 publications

Molecular mapping of two novel frost resistance genes in common wheat by 660k SNP array

Molecular mapping of two novel frost resistance genes in common wheat by 660k SNP array

Identification and validation of a major QTL for kernel length in bread wheat based on two F3 biparental populations

Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes

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