Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations

Cui, Fa; Zhao, Chunhua; Ding, Anming; Li, Jun; Wang, Lin; Li, Xingfeng; Bao, Yinguang; Li, Junming; Wang, Honggang

doi:10.1007/s00122-013-2249-8

Cited by 160 publications

(136 citation statements)

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“…In addition to productive spikes per unit area, kernels per spike, and kernel weight, kernel size is another major determinant of wheat yield (Cui et al 2014b). The ◂ negative yield-quality correlation has long been a key obstacle in wheat breeding programs designed to simultaneously improve yield and quality (Bathia and Rabson 1987;Nelson et al 2006;Kunert et al 2007;Suprayogi et al 2009).…”

Section: Genetic Relationships Between Kernel Size and Quality Traitsmentioning

confidence: 99%

“…Kernel size, including kernel weight and dimensions such as kernel length (KL) and kernel width (KW), has significant effects on both yield and quality (Campbell et al 2001;Sun et al 2009;Ramya et al 2010;Tsilo et al 2010;Cui et al 2011Cui et al , 2014b. A comparison of wheat grain yield and yield component selection has shown that selection for kernel weight could result in an increase in grain yield (Alexander et al 1984).…”

Section: Introductionmentioning

confidence: 99%

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QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress

et al. 2015

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QTLs for tolerance to N stress, 27 and 14 of which were stable across the tested environments, respectively. These QTLs were distributed across all wheat chromosomes except for chromosomes 3A, 4D, 6D, and 7B. Eleven QTL clusters that simultaneously affected kernel size-and quality-related traits were identified. At nine locations, 25 of the 49 QTLs for N deficiency tolerance coincided with the QTLs for kernel characteristics, indicating their genetic independence. The feasibility of indirect selection of a superior genotype for kernel size and quality under high-N conditions in breeding programs designed for a lower input management system are discussed. In addition, we specified the functions of Glu-A1, Glu-B1, Glu-A3, Glu-B3, TaCwi-A1, TaSus2, TaGS2-D1, PPO-D1, Rht-B1, and Ha with regard to kernel characteristics and the sensitivities of these characteristics to N stress. This study provides useful information for the genetic improvement of wheat kernel size, quality, and resistance to N stress. Abbreviations GPCGrain protein content WGC Wet gluten content AbstractKey message QTLs for kernel characteristics and tolerance to N stress were identified, and the functions of ten known genes with regard to these traits were specified. Abstract Kernel size and quality characteristics in wheat (Triticum aestivum L.) ultimately determine the end use of the grain and affect its commodity price, both of which are influenced by the application of nitrogen (N) fertilizer. This study characterized quantitative trait loci (QTLs) for kernel size and quality and examined the responses of these traits to low-N stress using a recombinant inbred line population derived from Kenong 9204 × Jing 411. Phenotypic analyses were conducted in five trials that each included lowand high-N treatments. We identified 109 putative additive QTLs for 11 kernel size and quality characteristics and 49Communicated by I. Mackay.F. Cui, X. Fan, and M. Chen contributed equally to this work. Electronic supplementary materialThe online version of this article

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Section: Genetic Relationships Between Kernel Size and Quality Traitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress

et al. 2015

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“…Quantitative trait loci (QTLs) for yield components such as grain weight have been mapped on almost all 21 wheat chromosomes [11]. There have also been QTL studies of grain-size traits [8][9][10][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Characterization and mapping of QTLs on chromosome 2D for grain size and yield traits using a mutant line induced by EMS in wheat

Zhang¹,

Wang²,

Guo³

et al. 2015

The Crop Journal

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Production of mutants with altered phenotypes is a powerful approach for determining the biological functions of genes in an organism. In this study, a high-grain-weight mutant line M8008 was identified from a library of mutants of the common wheat cultivar YN15 treated with ethylmethane sulfonate (EMS). F 2 and F 2:3 generations produced from crosses of M8008 × YN15 (MY) and M8008 × SJZ54 (MS) were used for genetic analysis. There were significant differences between M8008 and YN15 in plant height (PH), spike length (SL), fertile spikelet number per spike (FSS), grain width (GW), grain length (GL), GL/GW ratio (GLW), and thousand-grain weight (TGW). Most simple correlation coefficients were significant for the investigated traits, suggesting that the correlative mutations occurred in M8008. Approximately 21% of simple sequence repeat (SSR) markers showed polymorphisms between M8008 and YN15, indicating that EMS can induce a large number of mutated loci. Twelve quantitative trait loci (QTLs) forming QTL clusters (one in MY and two in MS) were detected. The QTL clusters coinciding with (MY population) or near (MS population) the marker wmc41 were associated mainly with grain-size traits, among which the M8008 locus led to decreases in GW, factor form density (FFD), and TGW and to increases in GLW. The cluster in the wmc25-barc168 interval in the MS population was associated with yield traits, for which the M8008 locus led to decreased PH, spike number per plant (SN), and SL.

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“…This technique can generate hundreds of high-quality genomic dominant markers with high efficiency (http://www.diversityarrays.com/). Several wheat genetic maps that include DArT markers have been produced [12-19]. …”

Section: Introductionmentioning

confidence: 99%

A novel genetic map of wheat: utility for mapping QTL for yield under different nitrogen treatments

et al. 2014

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BackgroundCommon wheat (Triticum aestivum L.) is one of the most important food crops worldwide. Wheat varieties that maintain yield (YD) under moderate or even intense nitrogen (N) deficiency can adapt to low input management systems. A detailed genetic map is necessary for both wheat molecular breeding and genomics research. In this study, an F6:7 recombinant inbred line population comprising 188 lines was used to construct a novel genetic map and subsequently to detect quantitative trait loci (QTL) for YD and response to N stress.ResultsA genetic map consisting of 591 loci distributed across 21 wheat chromosomes was constructed. The map spanned 3930.7 cM, with one marker per 6.7 cM on average. Genomic simple sequence repeat (g-SSR), expressed sequence tag-derived microsatellite (e-SSR), diversity arrays technology (DArT), sequence-tagged sites (STS), sequence-related amplified polymorphism (SRAP), and inter-simple sequence repeat (ISSR) molecular markers were included in the map. The linear relationships between loci found in the present map and in previously compiled physical maps were presented, which were generally in accordance. Information on the genetic and physical positions and allele sizes (when possible) of 17 DArT, 50 e-SSR, 44 SRAP, five ISSR, and two morphological markers is reported here for the first time. Seven segregation distortion regions (SDR) were identified on chromosomes 1B, 3BL, 4AL, 6AS, 6AL, 6BL, and 7B. A total of 22 and 12 QTLs for YD and yield difference between the value (YDDV) under HN and the value under LN were identified, respectively. Of these, QYd-4B-2 and QYddv-4B, two major stable QTL, shared support interval with alleles from KN9204 increasing YD in LN and decreasing YDDV. We probe into the use of these QTLs in wheat breeding programs. Moreover, factors affecting the SDR and total map length are discussed in depth.ConclusionsThis novel map may facilitate the use of novel markers in wheat molecular breeding programs and genomics research. Moreover, QTLs for YD and YDDV provide useful markers for wheat molecular breeding programs designed to increase yield potential under N stress.

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Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations

Cited by 160 publications

References 61 publications

QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress

QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress

Characterization and mapping of QTLs on chromosome 2D for grain size and yield traits using a mutant line induced by EMS in wheat

A novel genetic map of wheat: utility for mapping QTL for yield under different nitrogen treatments

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