Detection of quantitative trait loci for paste viscosity characteristics based on the doubled haploid progeny from a cross between two Chinese wheat varieties

2009 ◽  
Vol 89 (5) ◽  
pp. 837-844 ◽  
Author(s):  
L Zhao ◽  
K Zhang ◽  
B Liu ◽  
J Tian
Keyword(s):  
Quantitative Trait Loci ◽  
Doubled Haploid ◽  
Quantitative Trait ◽  
Additive Effect ◽  
Doubled Haploid Population ◽  
Phenotypic Variance ◽  
Wheat Varieties ◽  
Rapid Visco Analyser ◽  
Trait Loci ◽  
Paste Viscosity

In order to understand the genetic basis of starch pasting viscosity characteristics (the RVA profile, which is produced by the Rapid Visco Analyser) of wheat grain samples, a doubled haploid (DH) population (Huapei 3 × Yumai 57; Yumai 57 is superior to Huapei 3 for RVA profile parameters) and a linkage map consisting of 324 marker loci were used to search QTL. This program was based on mixed linear models and allowed simultaneous mapping of additive effect QTL, epistatic QTL, and QTL × environment interactions (QE). Mapping analysis produced a total of 35 QTL for 6 RVA profile parameters with a single QTL explaining 0.91-21.34% of phenotypic variations. The 35 QTL were distributed on 15 chromosomes. The QBd-4A had the most significant additive effect, accounting for 21.34% of the phenotypic variance. Two QTL clusters for RVA profile parameters were located on chromosomes 2A and 4A, respectively. The information obtained in this study should be useful for manipulating the QTL for RVA profiles parameters by molecular assisted selection (MAS) in wheat breeding programs.Key words: Doubled haploid population, paste viscosity characteristics, rapid visco analyser, quantitative trait loci, wheat (Triticum aestivum L.)

scholarly journals A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat

2022 ◽  
Vol 12 ◽  
Author(s):  
Shaozhe Wen ◽  
Minghu Zhang ◽  
Keling Tu ◽  
Chaofeng Fan ◽  
Shuai Tian ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Plant Height ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Wheat Yield ◽  
Phenotypic Variance ◽  
Wheat Varieties ◽  
Qtl Cluster ◽  
Trait Loci ◽  
Three Components

Wheat yield is not only affected by three components of yield, but also affected by plant height (PH). Identification and utilization of the quantitative trait loci (QTL) controlling these four traits is vitally important for breeding high-yielding wheat varieties. In this work, we conducted a QTL analysis using the recombinant inbred lines (RILs) derived from a cross between two winter wheat varieties of China, “Nongda981” (ND981) and “Nongda3097” (ND3097), exhibiting significant differences in spike number per unit area (SN), grain number per spike (GNS), thousand grain weight (TGW), and PH. A total of 11 environmentally stable QTL for these four traits were detected. Among them, four major and stable QTLs (QSn.cau-4B-1.1, QGns.cau-4B-1, QTgw.cau-4B-1.1, and QPh.cau-4B-1.2) explaining the highest phenotypic variance for SN, GNS, TGW, and PH, respectively, were mapped on the same genomic region of chromosome 4B and were considered a QTL cluster. The QTL cluster spanned a genetic distance of about 12.3 cM, corresponding to a physical distance of about 8.7 Mb. Then, the residual heterozygous line (RHL) was used for fine mapping of the QTL cluster. Finally, QSn.cau-4B-1.1, QGns.cau-4B-1, and QPh.cau-4B-1.2 were colocated to the physical interval of about 1.4 Mb containing 31 annotated high confidence genes. QTgw.cau-4B-1.1 was divided into two linked QTL with opposite effects. The elite NILs of the QTL cluster increased SN and PH by 55.71–74.82% and 14.73–23.54%, respectively, and increased GNS and TGW by 29.72–37.26% and 5.81–11.24% in two environments. Collectively, the QTL cluster for SN, GNS, TGW, and PH provides a theoretical basis for improving wheat yield, and the fine-mapping result will be beneficial for marker-assisted selection and candidate genes cloning.

scholarly journals Thermal plasticity of the circadian clock is under nuclear and cytoplasmic control in wild barley

2018 ◽  
Author(s):  
Eyal Bdolach ◽  
Manas Ranjan Prusty ◽  
Adi Faigenboim-Doron ◽  
Tanya Filichkin ◽  
Laura Helgerson ◽  
...  
Keyword(s):  
High Temperature ◽  
Quantitative Trait Loci ◽  
Hordeum Vulgare ◽  
Circadian Clock ◽  
Doubled Haploid ◽  
Quantitative Trait ◽  
Wild Barley ◽  
Doubled Haploid Population ◽  
Thermal Plasticity ◽  
Trait Loci

AbstractTemperature compensation, expressed as the ability to maintain clock characteristics (mainly period) in face of temperature changes, is considered a key feature of circadian clock systems. In this study, we explore the genetic basis for circadian clock plasticity under high temperatures by utilizing a new doubled haploid (DH) population derived from two reciprocal Hordeum vulgare sps. spontaneum hybrids genotypes (crosses between B1K-50-04 and B1K-09-07). Genotyping by sequencing of DH lines indicated a rich recombination landscape, with minor fixation (less than 8%), for one of the parental alleles, yet with prevalent and varied segregation distortion across seven barley chromosomes. Phenotyping was conducted with a high-throughput platform under optimal and high temperature environments. Genetic analysis, which included QxE and binary-threshold models, identified a significant influence of the maternal organelle genome (the plasmotype), as well as several nuclear quantitative trait loci (QTL), on clock phenotypes (free-running period and amplitude). Moreover, it showed the differential contribution of cytoplasmic genome clock rhythm buffering against high temperature. Resequencing of the parental chloroplast indicated the presence of several candidate genes underlying these significant effects. This first reported plasmotype-driven clock plasticity paves the way for identifying an hitherto unknown impact of nuclear and plasmotype variations on clock robustness and on plant adaptation to changing environments.HighlightCircadian clock robustness to high temperature is controlled by nuclear and plasmotype quantitative trait loci in a wild barley (Hordeum vulgare ssp. spontaneum) reciprocal doubled haploid population.

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