Pm23: a new allele of Pm4 located on chromosome 2AL in wheat

Hao, Yuanfeng; Liu, Aifeng; Wang, Yuhai; Feng, Deshun; Gao, Ju-Rong; Li, Xingfeng; Liu, Shubing; Wang, Honggang

doi:10.1007/s00122-008-0827-y

Cited by 80 publications

(34 citation statements)

References 50 publications

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“…gov/GG2/). Markers were initially analyzed in the parents and a preferred small group (PSG) [29] comprising five typical lowand five high-TGW plants in the F 2 of the MY population. The polymorphic SSRs were further used to assay the F 2 populations.…”

Section: Simple Sequence Repeat (Ssr) Analysismentioning

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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Section: Simple Sequence Repeat (Ssr) Analysismentioning

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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“…PCR reaction mixture was compounded according to the formula described by Röder et al (1998). Amplifications were performed using a touchdown PCR protocol detailed by Hao et al (2008). PCR reaction mixture, as well as PCR protocol for SRAP and ISSR markers followed the formula and the procedure detailed by Li et al (2007), and for RAPD markers, by Suenaga et al (2005).…”

Section: Analysis Of Molecular and Biochemical Markersmentioning

confidence: 99%

QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations

Cui

Ding

et al. 2011

Euphytica

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Spike-related traits contribute greatly to grain yield in wheat. To localize wheat chromosomes for factors affecting the seven spike-related traitsi.e., the spike length (SL), the basal sterile spikelet number (BSSN), the top sterile spikelet number (TSSN), the sterile spikelet number in total (SSN), the spikelet number per spike (SPN), the fertile spikelet number (FSN) and the spike density (SD)-two F 8:9 recombinant inbred line (RIL) populations were generated. They were derived from crosses between Weimai 8 and Jimai 20 (WJ) and between Weimai 8 and Yannong 19 (WY), comprising 485 and 229 lines, respectively. Combining the two new linkage maps and the phenotypic data collected from the four environments, we conducted quantitative trait locus (QTL) detection for the seven spike-related traits and evaluated their genetic correlations. Up to 190 putative additive QTL for the seven spike-related traits were detected in WJ and WY, distributing across all the 21 wheat chromosomes. Of these, at least nine pairwise QTL were common to the two populations. In addition, 38 QTL showed significance in at least two of the four different environments, and 18 of these were major stable QTL. Thus, they will be of great value for marker assisted selection (MAS) in breeding programs. Though co-located QTL were universal, every trait owned its unique QTL and even two closely related traits were not excluded. The two related populations with a large/moderate population size F. Cui, A. Ding, J. Li and C. Zhao contributed equally to this work.Electronic supplementary material The online version of this article (made the results authentic and accurate. This study will enhance the understanding of the genetic basis of spike-related traits.

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“…PCR was compounded according to the procedure described by Röder et al (1998). Amplifications were performed using a touchdown PCR protocol as detailed by Hao et al (2008). The PCR reaction volume and PCR protocol for SRAP and ISSR markers followed the proportions and the procedure detailed by Li et al (2007), and RAPD markers were amplified using the method of Suenaga et al (2005).…”

Section: Analysis Of Molecular and Biochemical Markersmentioning

confidence: 99%

QTL detection of seven quality traits in wheat using two related recombinant inbred line populations

Cui

Ding

et al. 2011

Euphytica

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Grain protein content (GPC) and gluten quality are the most important factors determining the end-use quality of wheat for pasta-making. Both GPC and gluten quality are considered to be polygenic traits influenced by environmental factors and other agricultural practices. Two related F 8:9 recombinant inbred line (RIL) populations were generated to localise genetic factors controlling seven quality traits: GPC, wet gluten content (WGC), flour whiteness (FW), kernel hardness (KH), water absorption (Abs), dough development time (DDT) and dough stability time (DST). These lines were derived by crossing Weimai 8 and Jimai 20 (WJ) and by crossing Weimai 8 and Yannong 19 (WY). In total, WJ comprised 485 lines, while WY comprised 229 lines. Data on these seven quality traits were collected from each line in five different environments. Up to 85 putative QTLs for the seven traits were detected in WJ and 65 putative QTLs were detected in WY. Of these QTLs, 31 QTLs (36.47%) were detected in at least two trials in WJ, while 24 QTLs (36.92%) were detected in at least two trials in WY. Three QTLs from WJ and 25 from WY accounted for more than 10% of the phenotypic variance. The total 150 QTLs were spread throughout all 21 wheat chromosomes. Of these, at least thirteen pairwise were common to both populations, accounting for 20.00 and 15.29% of the total QTLs in WJ and WY, respectively. A major QTL for GPC, accounting for 53.04% of the phenotypic variation, was detected on chromosome 5A. A major QTL for WGC also shared this interval, explained more than 36% of the phenotypic variation, and was significant in two environments. Though colocated QTLs were common, every trait had its unique control mechanism, even for two closely related traits. Due to the different sizes of the two line populations, we also assessed the effects of population size on the efficiency and precision of QTL detection. In sum, this study will enhance our understanding of the genetic basis of these seven pivotal quality traits and facilitate the breeding of improved wheat varieties.

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Pm23: a new allele of Pm4 located on chromosome 2AL in wheat

Cited by 80 publications

References 50 publications

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

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

QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations

QTL detection of seven quality traits in wheat using two related recombinant inbred line populations

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