Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat

Zhou, Zhengfu; Zhang, Ziwei; Mason, Annaliese S.; Chen, Lingzhi; Liu, Congcong; Qin, Maomao; Li, Wenxu; Tian, Bin; Wu, Zhengqing; Lei, Zhensheng; Hou, Jilun

doi:10.1186/s12870-021-03221-0

Cited by 5 publications

(4 citation statements)

References 39 publications

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“…Quantitative trait loci (QTL) mapping involves the identification and mapping of genomic regions associated with specific traits, including gluten content and composition [29]. Using molecular markers and advanced statistical techniques, researchers can pinpoint chromosomal regions harbouring genes that influence gluten-related traits [30].…”

Section: Quantitative Trait Loci (Qtl) Mappingmentioning

confidence: 99%

Marker-Assisted Breeding Techniques for the Development of Gluten-Free Wheat Varieties: A Comprehensive Review

Bennur,

Ram,

Shalini

2024

JABB

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Ingestion of gluten proteins from wheat, barley and rye poses a significant health risk. The sole treatment for various disease is a lifelong adherence to a strict gluten-free diet. Conventional breeding methods have limitations in producing wheat varieties that maintain baking quality due to the complexity of the wheat genome and the multitude of gluten genes. This review explores the use of RNA interference (RNAi) silencing and CRISPR/Cas9 gene editing techniques. Efficient screening and selection processes for identifying lines with reduced celiac disease epitopes at both the DNA and protein levels, as well as maintaining baking quality, are discussed. The integration of gene editing for the production of wheat products holds significant potential in meeting the growing demand for safer dietary options while ensuring compliance with regulatory standards and addressing the complex challenges associated with disease management. Marker-assisted selection (MAS) offers several advantages over conventional selection methods in plant breeding, including timesaving, cost-effectiveness and goal-oriented outcomes. This review aims to delineate various molecular markers, encompassing sequence-tagged sites (STS), simple sequence repeats (SSR), genotyping by sequencing (GBS), single nucleotide polymorphism (SNP) arrays, exome capture, Competitive Allele Specific PCR (KASP), cleaved amplified polymorphic sequences (CAPS), semi-thermal asymmetric reverse PCR (STARP), and genotyping by target sequencing (GBTS). Additionally, we compile quantitative trait loci (QTL)/genes and their associated markers, which hold potential utility in MAS applications. The rapid advancement of wheat genomics is poised to expedite marker development, QTL mapping, gene cloning, and wheat breeding processes.

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Section: Quantitative Trait Loci (Qtl) Mappingmentioning

confidence: 99%

Marker-Assisted Breeding Techniques for the Development of Gluten-Free Wheat Varieties: A Comprehensive Review

Bennur,

Ram,

Shalini

2024

JABB

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“…Glutenins and gliadins were extracted according to a published protocol [37] with minor modifications, and levels were determined by reversed-phase high-performance liquid chromatography (RP-HPLC) using a Waters E2695 + 2998DAD instrument (Waters Corporation, Milford, MA, USA) coupled with a Vydac 218TP C18 chromatographic column (250 mm × 4.6 mm) [38]. HPLC elution gradient parameters for glutenins were 0-10 min with 90% eluent A (0.06% trifluoroacetic acid [TFA] in ddH 2 O) and 10% eluent B (0.05% TFA in acetonitrile), followed by a decrease in eluent A to 35% from 10-65 min [39]. For gliadin elution, eluent A was decreased from 79% to 54% and eluent B was increased from 21% to 46% from 0-51 min, then eluent A was maintained at 79% and eluent B was maintained 21% from 51-58 min.…”

Section: Determining the Types And Levels Of Glutenins And Gliadinsmentioning

confidence: 99%

“…The injection volume was 10 µL. Component levels were calculated according to the peak area of the corresponding protein spectrum peak based on the different elution times and calculated using the following formula [39]:…”

Section: Determining the Types And Levels Of Glutenins And Gliadinsmentioning

confidence: 99%

Wheat GSPs and Processing Quality Are Affected by Irrigation and Nitrogen through Nitrogen Remobilisation

Shen,

Han,

Feng

et al. 2023

Foods

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The rheological properties and end-use qualities of many foods are mainly determined by the types and levels of grain storage proteins (GSPs) in wheat. GSP levels are influenced by various factors, including tillage management, irrigation, and fertiliser application. However, the effects of irrigation and nitrogen on GSPs remain unclear. To address this knowledge gap, a stationary split–split block design experiment was carried out in low- and high-fertility (LF and HF) soil, with the main plots subjected to irrigation treatments (W0, no irrigation; W1, irrigation only during the jointing stage; W2, irrigation twice during both jointing and flowering stages), subplots subjected to nitrogen application treatments (N0, no nitrogen application; N180, 180 kg/ha; N240, 240 kg/ha; N300, 300 kg/ha), and cultivars tested in sub–sub plots (FDC5, the strong-gluten cultivar Fengdecun 5; BN207, the medium-gluten cultivar Bainong 207). The results showed that GSP levels and processing qualities were significantly influenced by nitrogen application (p < 0.01), N240 was the optimal nitrogen rate, and the influence of irrigation was dependent on soil fertility. Optimal GSP levels were obtained under W2 treatment at LF conditions, and the content was increased by 17% and 16% for FDC5 and BN207 compared with W0 under N240 treatment, respectively. While the optimal GSP levels were obtained under W1 treatments at HF conditions, and the content was increased by 3% and 21% for FDC5 and BN207 compared with W0 under N240 treatment, respectively. Irrigation and nitrogen application increased the glutenin content by increasing Bx7 and Dy10 levels in FDC5, and by increasing the accumulation of Ax1 and Dx5 in BN207. Gliadins were mainly increased by enhancing α/β-gliadin levels. Correlation analysis indicated that a higher soil nitrate (NO3-N) content increased nitrogen remobilisation in leaves. Path analysis showed that Dy10, Dx5, and γ-gliadin largely determined wet glutenin content (WGC), dough stability time (DST), dough water absorption rate (DWR), and sedimentation value (SV). Therefore, appropriate irrigation and nitrogen application can improve nitrogen remobilisation, GSP levels, and processing qualities, thereby improving wheat quality and production.

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“…Two major QTL clusters for glutenin have been reported, 1DL-2 and 6AS-3 , at the chromosome regions 409.26–416.45 Mb and 44.02–50.35 Mb, respectively. HMW-GS and LMW-GS were detected, and Kompetitive Allele-Specific PCR (KASP) markers were developed using a recombinant inbred line population ( Zhou et al., 2021 ). However, little is known about how many genes are involved in wheat grain development and how they work during that process.…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of protein and starch during wheat grain development using QTL mapping and GWAS

et al. 2023

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Protein, starch, and their components are important for wheat grain yield and end-products, which are affected by wheat grain development. Therefore, QTL mapping and a genome-wide association study (GWAS) of grain protein content (GPC), glutenin macropolymer content (GMP), amylopectin content (GApC), and amylose content (GAsC) were performed on wheat grain development at 7, 14, 21, and 28 days after anthesis (DAA) in two environments using a recombinant inbred line (RIL) population of 256 stable lines and a panel of 205 wheat accessions. A total of 29 unconditional QTLs, 13 conditional QTLs, 99 unconditional marker−trait associations (MTAs), and 14 conditional MTAs significantly associated (p < 10−4) with four quality traits were found to be distributed on 15 chromosomes, with the phenotypic variation explained (PVE) ranging from 5.35% to 39.86%. Among these genomic variations, three major QTLs [QGPC3B, QGPC2A, and QGPC(S3|S2)3B] and SNP clusters on the 3A and 6B chromosomes were detected for GPC, and the SNP TA005876-0602 was stably expressed during the three periods in the natural population. The QGMP3B locus was detected five times in three developmental stages in two environments with 5.89%–33.62% PVE, and SNP clusters for GMP content were found on the 3A and 3B chromosomes. For GApC, the QGApC3B.1 locus had the highest PVE of 25.69%, and SNP clusters were found on chromosomes 4A, 4B, 5B, 6B, and 7B. Four major QTLs of GAsC were detected at 21 and 28 DAA. Most interestingly, both QTL mapping and GWAS analysis indicated that four chromosomes (3B, 4A, 6B, and 7A) were mainly involved in the development of protein, GMP, amylopectin, and amylose synthesis. Of these, the wPt-5870–wPt-3620 marker interval on chromosome 3B seemed to be most important because it played an important role in the synthesis of GMP and amylopectin before 7 DAA, in the synthesis of protein and GMP from 14 to 21 DAA, and in the development of GApC and GAsC from 21 to 28 DAA. Using the annotation information of IWGSC Chinese Spring RefSeq v1.1 genome assembly, we predicted 28 and 69 candidate genes for major loci from QTL mapping and GWAS, respectively. Most of them have multiple effects on protein and starch synthesis during grain development. These results provide new insights and information for the potential regulatory network between grain protein and starch synthesis.

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Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat

Cited by 5 publications

References 39 publications

Marker-Assisted Breeding Techniques for the Development of Gluten-Free Wheat Varieties: A Comprehensive Review

Marker-Assisted Breeding Techniques for the Development of Gluten-Free Wheat Varieties: A Comprehensive Review

Wheat GSPs and Processing Quality Are Affected by Irrigation and Nitrogen through Nitrogen Remobilisation

Genetic dissection of protein and starch during wheat grain development using QTL mapping and GWAS

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