Transfer of HMW glutenin subunits from Aegilops kotschyi to wheat through radiation hybridization

Singh, Jasmeet; Sheikh, Imran; Sharma, Prachi; Kumar, Satish; Verma, Shreya; Kumar, Rahul; Mathpal, Priyanka; Kumar, Sunil; Vyas, Pritesh; Dhaliwal, H. S.

doi:10.1007/s13197-016-2333-6

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…Yet this is the only success story using irradiation for introgression of Aegilops chromatin for wheat breeding until recently. Singh et al (2016) and Verma et al (2016) recently reported the production of a translocation by irradiation of Ae. kotschyi hybrids.…”

Section: The Use Of Other Aegilops Species and Chromosome Pairingmentioning

confidence: 99%

An Update of Recent Use of Aegilops Species in Wheat Breeding

Kishii

2019

Front. Plant Sci.

127

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Aegilops species have significantly contributed to wheat breeding despite the difficulties involved in the handling of wild species, such as crossability and incompatibility. A number of biotic resistance genes have been identified and incorporated into wheat varieties from Aegilops species, and this genus is also contributing toward improvement of complex traits such as yield and abiotic tolerance for drought and heat. The D genome diploid species of Aegilops tauschii has been utilized most often in wheat breeding programs. Other Aegilops species are more difficult to utilize in the breeding because of lower meiotic recombination frequencies; generally they can be utilized only after extensive and time-consuming procedures in the form of translocation/introgression lines. After the emergence of Ug99 stem rust and wheat blast threats, Aegilops species gathered more attention as a form of new resistance sources. This article aims to update recent progress on Aegilops species, as well as to cover new topics around their use in wheat breeding.

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Section: The Use Of Other Aegilops Species and Chromosome Pairingmentioning

confidence: 99%

An Update of Recent Use of Aegilops Species in Wheat Breeding

Kishii

2019

Front. Plant Sci.

127

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“…For example, TraesCS1D02G317300 , encoding the high molecular weight glutenin subunit, was specifically expressed in grain 14 dpa. The content of HMW‐GS in wheat grains is low, accounting for only about 10% of the traditional storage protein but may explain about 60% of the variation in bread baking quality of wheat (He et al., 2005; Singh et al., 2016). TraesCS2A02G035700 and TraesCS2D02G034900 , encoding the arginase family, were specifically expressed in cereals.…”

Section: Discussionmentioning

confidence: 99%

Consensus genomic regions for grain quality traits in wheat revealed by Meta‐QTL analysis and in silico transcriptome integration

Miao

et al. 2023

The Plant Genome

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Grain quality traits are the key factors that determine the economic value of wheat and are largely influenced by genetics and the environment. In this study, using a metaanalysis of quantitative trait loci (QTLs) and a comprehensive in silico transcriptome assessment, we identified key genomic regions and putative candidate genes for the grain quality traits protein content, gluten content, and test weight. A total of 508 original QTLs were collected from 41 articles on QTL mapping for the three quality traits in wheat published from 2003 to 2021. When these original QTLs were projected onto a high-density consensus map consisting of 14,548 markers, 313 QTLs resulted in the identification of 64 MQTLs distributed across 17 of the 21 chromosomes. Most of the meta-QTLs (MQTLs) were distributed on sub-genomes A and B. Compared with the original QTLs, the confidence interval (CI) of the MQTLs was smaller, with an average CI of 4.47 cM, while the projected QTLs CI was 11.13 cM (2.49-fold lower). The corresponding physical length of the MQTL ranged from 0.45 to 239.01Mb. Thirty-one of these 64 MQTLs were validated in at least one genome-wide association study. In addition, five of the 64 MQTLs were selected and designated as core MQTLs. The 211 quality-related genes from rice were used to identify wheat homologs in MQTLs. In combination with transcriptional and omics analyses, 135 putative candidate genes were identified from 64 MQTL regions. The findings should contribute to a better understanding of the molecular genetic mechanisms underlying grain quality and the improvement of these traits in wheat breeding.

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“…biuncialis increased the protein content, Zeleny sedimentation, grain hardness, and wet gluten content [ 51 ]; and Glu-1U k from Ae. kotschyi increased SDS sedimentation in wheat [ 52 ]. Furthermore, Dasypyrum villosum HMW-GS Glu-1V can improve protein content, Zeleny sedimentation, wet gluten content, and rheological properties of small fragment translocation line NAU425, which shows potential in wheat quality improvement [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Molecular Characterization and Marker Development of the HMW-GS Gene from Thinopyrum elongatum for Improving Wheat Quality

Dai

Shi

et al. 2023

IJMS

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The quality of wheat primarily depends on its storage protein quality, especially in regards to gluten content and high-molecular-weight glutenin subunits (HMW-GS). The number of HMW-GS alleles is limited in bread wheat (Triticum aestivum L.), whereas it is abundant in wheat relatives. Therefore, HMW-GS alleles from wheat relatives could provide a potential for improving quality in wheat breeding. Thinopyrum elongatum (EE) is one of the relatives of wheat. The E genome is closely related to the ABD genome in wheat; therefore, Th. elongatum is often used as an excellent exogenous gene donor for wheat genetic improvement. In this study, the high-molecular glutenin subunit gene was cloned and sequenced from Th. elongatum. A specific molecular marker for identifying the Glu-1Ey subunit gene was developed and applied to detected wheat-Th. elongatum alien introgression lines. Quality analysis indicated that the substitution and addition lines containing Th. elongatum alleles significantly (p < 0.05) increased grain protein content by 3.76% to 5.11%, wet-gluten content by 6.55% to 8.73%, flour 8-MW by 0.25% to 6.35%, and bread volume value by 33.77 mL to 246.50 mL, in comparing it with Chinese Spring. The GMP content and lactic acid SRC showed significant positive correlations with flour processing quality and might be used as indicators for wheat quality. The results were expected to provide a novel route for improving processing quality in wheat quality breeding.

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Transfer of HMW glutenin subunits from Aegilops kotschyi to wheat through radiation hybridization

Cited by 9 publications

References 25 publications

An Update of Recent Use of Aegilops Species in Wheat Breeding

An Update of Recent Use of Aegilops Species in Wheat Breeding

Consensus genomic regions for grain quality traits in wheat revealed by Meta‐QTL analysis and in silico transcriptome integration

Molecular Characterization and Marker Development of the HMW-GS Gene from Thinopyrum elongatum for Improving Wheat Quality

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