Genetic dissection on wheat flour quality traits in two related populations

Deng, Zhiying; Tian, Jichun; Chen, Fang; Li, Wenjing; Zheng, Feifei; Chen, Jiansheng; Shi, Cuilan; Sun, Congjian; Wang, Shouyi; Zhang, Yongxiang

doi:10.1007/s10681-014-1318-7

Cited by 31 publications

(47 citation statements)

References 41 publications

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“…The GPC was measured by the Kjeldahl method using an NC analyzer (KDY-9820, Tongrun Ltd., China). The SV was determined with a sedimentation volume instrument (BAU-A type) [30]. The farinograph parameters, including development time (DT), stability time (ST), and water absorption (WA), were determined by a farinograph (Brabender GmbH and Co KG).…”

Section: Quality Trait Measurementsmentioning

confidence: 99%

“…Numerous studies have identified associations between the HMW-GS and the quality of wheat [2; 16; 17; 23; 25; 26; 55; 56]. Furthermore, many previous studies have reported that QTLs for some quality traits (such as sedimentation value, development time, and stability time) were detected on the Glu-1 loci, for example Glu-A1 [30,31], Glu-B1 [17], and Glu-D1 [12,24,30,31]. In the present study, clusters C2 and C4 were determined to be colocations of stable QTLs for the SV and farinograph parameter (ST and DT) traits in more than three environments.…”

Section: Plos Onementioning

confidence: 99%

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QTL mapping for quality traits using a high-density genetic map of wheat

et al. 2020

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Protein-and starch-related quality traits, which are quantitatively inherited and significantly influenced by the environment, are critical determinants of the end-use quality of wheat. We constructed a high-density genetic map containing 10,739 loci (5,399 unique loci) using a set of 184 recombinant inbred lines (RILs) derived from a cross of 'Tainong 18 × Linmai 6' (TL-RILs). In this study, a quantitative trait loci (QTLs) analysis was used to examine the genetic control of grain protein content, sedimentation value, farinograph parameters, falling number and the performance of the starch pasting properties using TL-RILs grown in a field for three years. A total of 106 QTLs for 13 quality traits were detected, distributed on the 21 chromosomes. Of these, 38 and 68 QTLs for protein-and starch-related traits, respectively, were detected in three environments and their average values (AV). Twenty-six relatively high-frequency QTLs (RHF-QTLs) that were detected in more than two environments. Twelve stable QTL clusters containing at least one RHF-QTL were detected and classified into three types: detected only for protein-related traits (type I), detected only for starchrelated traits (type II), and detected for both protein-and starch-related traits (type III). A total of 339 markers flanked with 11 QTL clusters (all except C6), were found to be highly homologous with 282 high confidence (HC) and 57 low confidence (LC) candidate genes based on IWGSC RefSeq v 1.0. These stable QTLs and RHF-QTLs, especially those grouped into clusters, are credible and should be given priority for QTL fine-mapping and identification of candidate genes with which to explain the molecular mechanisms of quality development and inform marker-assisted breeding in the future.

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Section: Quality Trait Measurementsmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

QTL mapping for quality traits using a high-density genetic map of wheat

et al. 2020

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“…QTL accuracy is generally depended upon genetic diversity in the parent, heritability of traits and density of genetic markers. Although comparative analysis is an effective way to compare large quantities of QTL data, QTL from different experimental studies are usually derived from individual populations under varied environments and use different analytical methods; this hampers alignment of multiple QTLs across different data sets ( Thabuis 2004;Ashikari and Matsuoka 2006;Xing and Zhang 2010;Mei et al 2013;Pu et al 2014;Deng et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison and analysis of QTLs for grain and hull thickness related traits in two recombinant inbred line (RIL) populations in rice (Oryza sativa L.)

Yao

Wang

Jin

et al. 2016

Journal of Integrative Agriculture

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“…Recently, a large number of QTL studies have been performed to determine the genetic basis of pasting properties in wheat. Researchers have found that QTLs for pasting properties are widely distributed on all 21 wheat chromosomes . Among them, QTLs for PV are mainly located on chromosomes 1A, 1B, 3A, 3B, 3D, 4A, 4B, 6D, 7A, and 7B , and QTLs for SB are mainly on chromosomes 1A, 3B, 4A, 6D, and 7B .…”

Section: Introductionmentioning

confidence: 99%

“…Researchers have found that QTLs for pasting properties are widely distributed on all 21 wheat chromosomes [1,[16][17][18][19][20][21][22]. Among them, QTLs for PV are mainly located on chromosomes 1A, 1B, 3A, 3B, 3D, 4A, 4B, 6D, 7A, and 7B [1,17,19,20,23], and QTLs for SB are mainly on chromosomes 1A, 3B, 4A, 6D, and 7B [1,19,20,24,25]. QTLs for BD are mainly on chromosomes 1A, 4A, 4B, 6A, and 9B [1,16,23,24,26], and QTLs for FV are mainly on chromosomes 1A, 1D, 3A, 4A, 4B, 6D, and 7A [1,17].…”

Section: Introductionmentioning

confidence: 99%

QTL mapping of the pasting properties of wheat flour treated by papain digestion

Wang

Liu

et al. 2016

Starch Stärke

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Protein hydrolysis is widely used in the food industry to improve food or industrial quality, and processing is carried out concurrently or subsequently to starch pasting. In this study, QTL mapping of the pasting properties of natural wheat flour (NWF) and papain‐treated flour (PTF) was performed in three environments. These analyses involved a set of 173 F9:10 recombinant inbred lines (RILs) derived from “Shannong01‐35 × Gaocheng9411” with a genetic linkage map consisting of 6248 molecular markers. The additive, epistatic, and epistatic × environment interaction effects of QTLs for pasting properties were analyzed. A total of 43 and 31 additive QTLs for pasting properties were detected using NWF and PTF, respectively. QPv1A.4‐1, QPv4B.4‐17, QTv1A.4‐1, QTv4B.4‐17, QSb4B.4‐17, QPt1A.4‐1, and QPt4B.4‐17 were identified using both NWF and PTF. In contrast, QPv6A.2‐128, QTv6A.2‐128, QFv6A.2‐75, and QBd6A.2‐128 were only identified in wheat flour; thus, these QTLs are related to the papain digestion site. Five and eight pairs of epistatic interaction QTLs were identified in NWF and PTF, respectively. QPv1A.4‐1/QPv4B.4‐17 and QTv1A.4‐1/QTv4B.4‐17 were identified in NWF and PTF, whereas, QInA1A.4‐1 and QInA4B.4‐17 were only detected in PTF. Two and three pairs of epistatic × environment interactions were detected in NWF and PTF, respectively. In the present study, two important QTL clusters (≥3 QTLs) were detected from NWF, and three clusters were detected from PTF. The results of the comprehensive evaluation of protein hydrolysis and starch pasting provide valuable information to facilitate the improvement of wheat flour quality and promote the molecular breeding of wheat.

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Genetic dissection on wheat flour quality traits in two related populations

Cited by 31 publications

References 41 publications

QTL mapping for quality traits using a high-density genetic map of wheat

QTL mapping for quality traits using a high-density genetic map of wheat

Comparison and analysis of QTLs for grain and hull thickness related traits in two recombinant inbred line (RIL) populations in rice (Oryza sativa L.)

QTL mapping of the pasting properties of wheat flour treated by papain digestion

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