Genetic dissection of interaction between wheat protein and starch using three mapping populations

Deng, Zhiying; Hu, Shuna; Chen, Fang; Li, Wenjing; Chen, Jiansheng; Sun, Congjian; Zhang, Yongxiang; Wang, Shouyi; Song, Xinhang; Tian, Jichun

doi:10.1007/s11032-015-0216-6

Cited by 27 publications

(16 citation statements)

References 37 publications

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“…Yang and Zhu (2005) and Yang et al (2007Yang et al ( , 2008 published methods that were developed to predict two types of superior genotypes (superior line and superior hybrid) based on QTL effects, including epistatic and Q 9 E interaction effects based on the mixed-model-based composite interval mapping (MCIM) method. Several studies have been performed to identify the Q 9 E effects in various crops by these methods in recent years, including studies of rice (Liu et al 2007;Wang et al 2012), corn Yang et al 2015), soybean (Korir et al 2011;Zhang et al 2015), wheat (Mohan et al 2009;Deng et al 2015), common bean (González et al 2015), cotton (Jia et al 2014), chickpea (Bajaj et al 2015), rapeseed (Xu et al 2015) and groundnut (Ravi et al 2011). These studies implied that the QTLs were greatly affected by the environment.…”

Section: Introductionmentioning

confidence: 99%

Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map

Pan

Han

et al. 2016

Mol Breeding

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The concentration of protein in soybean is an important trait that drives successful soybean quality. A recombinant inbred line derived from a cross between the Charleston and Dongnong594 cultivars was planted in one location across 10 years and two locations across 5 years in China (20 environments in total), and the genetic effects were partitioned into additive main effects, epistatic main effects and their environmental interaction effects using composite interval mapping and inclusive composite interval mapping models based on a high-density genetic map. Ten main-effect quantitative trait loci (QTLs) were identified on chromosomes 3, 6, 7, 13, 15 and 20 and detected in more than three environments, with each of the main-effect QTLs contributing a phenotypic variation of around 10 %.Between the intervals of the main-effect QTLs, 93 candidate genes were screened for their involvement in seed protein storage and/or amino acid biosynthesis and metabolism processes based on gene ontology and annotation information. Furthermore, an analysis of epistatic interactions showed that three epistatic QTL pairs were detected, and could explain approximately 50 % of the phenotypic variation. The additive maineffect QTLs and epistatic QTL pairs contributed to high phenotypic variation under multiple environments, and the results were also validated and corroborated with previous research, indicating that marker-assisted selection can be used to improve soybean protein concentrations and that the candidate genes can also be used as a foundation data set for research on gene function.

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Section: Introductionmentioning

confidence: 99%

Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map

Pan

Han

et al. 2016

Mol Breeding

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“…Moreover, genetic interactions among related traits in wheat were also dissected by conditional QTL mapping at the individual QTL level, such as the interactions between grain protein and starch content (Deng et al . 2015), and between wheat kernel weight and kernel length and width (Zhang et al . 2014).…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of flour whiteness by unconditional and conditional quantitative trait locus mapping in wheat

Deng

Chen

et al. 2016

J. Agric. Sci.

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SUMMARYFlour whiteness (FW) is an important factor in assessing flour quality and determining the end product quality. It is an integrated sensory indicator reflecting flour colour and is negatively correlated with protein content. In order to dissect the genetic relationship between FW and its five related traits at the quantitative trait locus (QTL)/gene level, a recombinant inbred line population was evaluated under three environments. Quantitative trait loci for FW were analysed by unconditional and conditional QTL mapping. Four unconditional additive QTLs and 16 conditional additive QTLs were detected across the three environments. Of these QTLs, only one major additive QTL (Qfw1D1-1) was consistently identified using both unconditional and conditional QTL analysis. This QTL was independent of flour colour a* (a function of red-green with a positive a* for redness and negative for greenness) and b* (a green-blue value with positive value for yellowness and negative for blueness) and was only slightly affected by flour protein content. A minor additive QTL (Qfw4A-4) was also detected using these two QTL mapping methods, being independent of flour colour a* and b*. Five unconditional and ten conditional epistatic minor QTLs were detected, from which only one pair (Qfw3A-10/Qfw6B-6) was identified by both unconditional and conditional QTL mapping, also independent of flour colour a* and b*. The major QTL (Qfw1D1-1) identified in the current study for the first time can be used for improving wheat FW in marker-assisted breeding.

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“…QDek.caas-4AL and Wx-B1 is 16 Mb approximately. So far, many QTL for the contents of starch, protein and amylose and amylopectin, and grain yield have been reported on chromosome 4AL close to Wx-B1 [41][42][43][44][45][46][47][48]. QGsc4A, a QTL for grain starch contents, is closely linked to Wx-B1 [43].…”

Section: Predication Of Candidate Genes For the Dek Qtlmentioning

confidence: 99%

“…QGsc4A, a QTL for grain starch contents, is closely linked to Wx-B1 [43]. Qftsc4A for total grain starch content and Qfams4A for grain amylose content were also linked to Wx-B1 [47]. [57].…”

Section: Predication Of Candidate Genes For the Dek Qtlmentioning

confidence: 99%

Rapid identification and characterization of genetic loci for defective kernel in bread wheat

Tian

et al. 2019

Preprint

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Background Wheat is a momentous crop and feeds billions of people in the world. The improvement of wheat yield is very important to ensure world food security. Normal development of grain is the essential guarantee for wheat yield formation. The genetic study of grain phenotype and identification of key genes for grain filling are of great significance upon dissecting the molecular mechanism of wheat grain morphogenesis and yield potential. Results Here we identified a pair of defective kernel (Dek) isogenic lines, BL31 and BL33, with plump and shrunken mature grains, respectively, and constructed a genetic population from the BL31/BL33 cross. Ten chromosomes had higher frequency of polymorphic single nucleotide polymorphism (SNP) markers between BL31 and BL33 using Wheat660K chip. Totally 783 simple sequence repeat (SSR) markers were chosen from the above chromosomes and 15 of these were integrated into two linkage groups using the genetic population. Genetic mapping identified three QTL, QDek.caas-3BS.1, QDek.caas-3BS.2 and QDek.caas-4AL, explaining 14.78 - 18.17%, 16.61 - 21.83% and 19.08 - 28.19% of phenotypic variances, respectively. Additionally, five polymorphic SNPs from Wheat660K were successfully converted into cleaved amplified polymorphic sequence (CAPS) markers and enriched the target regions of the above QTL. Biochemical analyses revealed that BL33 has significantly higher grain sucrose contents at filling stages and lower mature grain starch contents than BL31, indicating that the Dek QTL may be involved in carbohydrate metabolism. As such, the candidate genes for each QTL were determined according to International Wheat Genome Sequence Consortium (IWGSC) RefSeq v1.0. Conclusions Overall, we achieved a rapid QTL mapping and reasonable predication of causal genes for Dek, laying foundation to conduct fine mapping and dissect the regulatory mechanism underlying Dek trait in wheat.

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Genetic dissection of interaction between wheat protein and starch using three mapping populations

Cited by 27 publications

References 37 publications

Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map

Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map

Genetic dissection of flour whiteness by unconditional and conditional quantitative trait locus mapping in wheat

Rapid identification and characterization of genetic loci for defective kernel in bread wheat

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