Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828

Ma, Jian; Qin, Nana; Cai, Ben; Chen, Guoyue; Ding, Ping; Zhang, Han; Yang, Congcong; Huang, Lin; Mu, Yang; Tang, Huaping; Liu, Yaxi; Wang, Jirui; Qi, Pengfei; Jiang, Qiantao; Zheng, Youliang; Liu, Chunji; Lan, Xiujin; Wei, Yuming

doi:10.1007/s00122-019-03283-7

Cited by 48 publications

(28 citation statements)

References 55 publications

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“…Similar results was obtained in previous study. It has been shown that susceptible parent contributed the resistance alleles to various wheat diseases ( Poole et al, 2012 ; Ma et al, 2019b ). In addition to height QTL, a major and stably expressed QTL conferring SD designated as QSd.hebau-2D , which was located at 16.16 – 17.82 Mbp on CS and 16.39 – 18.36 Mbp on Ae.…”

Section: Discussionmentioning

confidence: 99%

Major QTL for Seven Yield-Related Traits in Common Wheat (Triticum aestivum L.)

Jin

Liu

et al. 2020

Front. Genet.

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Flag leaves, plant height (PH), and spike-related traits are key determinants contributing to yield potential in wheat. In this study, we developed a recombinant inbred line (RIL) population with 94 lines derived from the cross between 'AS985472' and 'Sumai 3.' A genetic map spanned 3553.69 cM in length were constructed using 1978 DArT markers. Severn traits including flag leaf width (FLW), flag leaf length (FLL), PH, anthesis date (AD), spike length (SL), spikelet number spike (SNS), and spike density (SD) were evaluated against this RIL population under three different environments. Combined phenotypic data and genetic map, we identified quantitative trait loci (QTL) for each trait. A total of four major and stably expressed QTLs for FLW, PH, and SD were detected on chromosomes 2D and 4B. Of them, the major QTLs individually explained 10.10-30.68% of the phenotypic variation. QTLs with pleiotropic effects were identified on chromosomes 4A and 6D as well. Furthermore, the genetic relationships between seven yield-related traits were detected and discussed. A few genes related to leaf growth and development at the interval of a major locus for FLW on chromosome 2D were predicated. Overall, the present study provided useful information for understanding the genetic basis of yield-related traits and will be useful for marker-assisted selection in wheat breeding.

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Section: Discussionmentioning

confidence: 99%

Major QTL for Seven Yield-Related Traits in Common Wheat (Triticum aestivum L.)

Jin

Liu

et al. 2020

Front. Genet.

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“…An F 6 recombinant inbred lines (2CN RIL with 199 lines), generated by single seed decent method from the cross between the wheat ( Triticum aestivum L., 2n = 6x = 42, AABBDD) line 20828 and commercial cultivar 'Chuannong16' (CN16), were used in the present study. The line 20828 shows multiple spikelets per spike and high resistance to stripe rust (Ma, Ding, et al, ; Ma, Qin, et al, ). These excellent agronomic traits make 20828 be widely utilized as a breeding parent for the past 10 years.…”

Section: Methodsmentioning

confidence: 99%

Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Liu

et al. 2019

Plant Breeding

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Spike density (SD), an important spike morphological trait associated with wheat yield, is the spikelet number per spike (SNS) divided by spike length (SL). In this study, phenotypic data from eight environments were collected and a recombinant inbred line population (RIL) constructed by the wheat line 20828 and the cultivar 'Chuannong16' and a Wheat55K SNP array‐based constructed genetic linkage map were used to identify SD quantitative trait locus (QTL). Correlation between SD and other agronomic traits was calculated. Genes associated with plant growth and development for major loci were predicted. The results showed that 24 QTLs associated with SD were detected in eight environments. Among them, three major QTL, namely QSd.sicau‐5B.2, QSd.sicau‐2D.3 and QSd.sicau‐4B.1, explained up to 35.62%, 14.21% and 11.23% of phenotypic variation, respectively. The positive alleles of them were all derived from 'Chuannong16'. The significant relationships between SD and other agronomic traits were detected and discussed. Taken together, the stably expressed SD QTL under different environments identified in this study provided theoretical guidance for further fine mapping and germplasm improvement.

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“…Similarly, powdery mildew resistance gene PmTm4 was fine-mapped into 0.66 cM interval using comparative genomics approaches on large F 2 population (Xie et al 2017). Furthermore, high-density linkage mapping based on NGS-derived markers has enabled fine mapping of major traits like fungal resistance (Cockram et al 2015), powdery mildew resistance (Liang et al 2016), awn shape and length (Yoshioka et al 2017), flag leaf traits (Hussain et al 2017) and stripe rust resistance (Ma et al 2019).…”

Section: Model Plants/cropsmentioning

confidence: 99%

Fine mapping and gene cloning in the post-NGS era: advances and prospects

et al. 2020

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Improvement in traits of agronomic importance is the top breeding priority of crop improvement programs. Majority of these agronomic traits show complex quantitative inheritance. Identification of quantitative trait loci (QTLs) followed by fine mapping QTLs and cloning of candidate genes/QTLs is central to trait analysis. Advances in genomic technologies revolutionized our understanding of genetics of complex traits, and genomic regions associated with traits were employed in marker-assisted breeding or cloning of QTLs/genes. Next-generation sequencing (NGS) technologies have enabled genomewide methodologies for the development of ultra-high-density genetic linkage maps in different crops, thus allowing placement of candidate loci within few kbs in genomes. In this review, we compare the marker systems used for fine mapping and QTL cloning in the pre-and post-NGS era. We then discuss how different NGS platforms in combination with advanced experimental designs have improved trait analysis and fine mapping. We opine that efficient genotyping/sequencing assays may circumvent the need for cumbersome procedures that were earlier used for fine mapping. A deeper understanding of the trait architectures of agricultural significance will be crucial to accelerate crop improvement.

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Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828

Cited by 48 publications

References 55 publications

Major QTL for Seven Yield-Related Traits in Common Wheat (Triticum aestivum L.)

Major QTL for Seven Yield-Related Traits in Common Wheat (Triticum aestivum L.)

Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Fine mapping and gene cloning in the post-NGS era: advances and prospects

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