Genetic analysis and gene detection of fructan content using DArT molecular markers in spring bread wheat (Triticum aestivum L.) grain

Zeng, Zhankui; Wang, Chunping; Wang, Zhenghong; Zhipeng, Han; Wang, Liming; Lan, Caixia

doi:10.1007/s11032-020-1102-4

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…In previous studies on cereals, amylose content is often regarded as a measure of starch digestibility. It has been confirmed in sorghum, corn, rice and beans that amylose content will affect the digestibility of starch, such as gelatinization characteristics and disintegration value ( Wang et al, 2012 ). Given starch microstructure, amylose is mainly composed of glucose units connected by α-1, 4-glucoside bond to a single dextran chain or several long dextran chains ( Vandeputte et al, 2003 ).…”

Section: Discussionmentioning

confidence: 99%

Characterization of the starch molecular structure of wheat varying in the content of resistant starch

Liu,

Qiao,

Kong

et al. 2024

Food Chemistry: X

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Section: Discussionmentioning

confidence: 99%

Characterization of the starch molecular structure of wheat varying in the content of resistant starch

Liu,

Qiao,

Kong

et al. 2024

Food Chemistry: X

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“…A total of 23,526 DArTSeq markers were genotyped for both parents and the RIL population, and the QTL IciMapping v4.1 software was used to construct the genetic linkage map and identify significant QTLs (http://www.isbreeding.net) (Zeng et al, 2020). The Kosambi mapping function was used to calculate centiMorgan units (cM), and the inclusive composite interval mapping (ICIM) method was performed for QTL analysis.…”

Section: Quantitative Trait Locus Mapping and Candidate Gene Analysismentioning

confidence: 99%

QTL cluster analysis and marker development for kernel traits based on DArT markers in spring bread wheat (Triticum aestivum L.)

Zeng

Zhao²,

Wang³

et al. 2023

Front. Plant Sci.

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Genetic dissection of yield component traits including kernel characteristics is essential for the continuous improvement in wheat yield. In the present study, one recombinant inbred line (RIL) F6 population derived from a cross between Avocet and Chilero was used to evaluate the phenotypes of kernel traits of thousand-kernel weight (TKW), kernel length (KL), and kernel width (KW) in four environments at three experimental stations during the 2018–2020 wheat growing seasons. The high-density genetic linkage map was constructed with the diversity arrays technology (DArT) markers and the inclusive composite interval mapping (ICIM) method to identify the quantitative trait loci (QTLs) for TKW, KL, and KW. A total of 48 QTLs for three traits were identified in the RIL population on the 21 chromosomes besides 2A, 4D, and 5B, accounting for 3.00%–33.85% of the phenotypic variances. Based on the physical positions of each QTL, nine stable QTL clusters were identified in the RILs, and among these QTL clusters, TaTKW-1A was tightly linked to the DArT marker interval 3950546–1213099, explaining 10.31%–33.85% of the phenotypic variances. A total of 347 high-confidence genes were identified in a 34.74-Mb physical interval. TraesCS1A02G045300 and TraesCS1A02G058400 were among the putative candidate genes associated with kernel traits, and they were expressed during grain development. Moreover, we also developed high-throughput kompetitive allele-specific PCR (KASP) markers of TaTKW-1A, validated in a natural population of 114 wheat varieties. The study provides a basis for cloning the functional genes underlying the QTL for kernel traits and a practical and accurate marker for molecular breeding.

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“…The QTLs were named following according to Rehman Börner, 2019 andMcCouch et al, 1997. The nucleotide sequences of the markers that were tightly linked with the QTLs were used for a BLAST search against the Chinese Spring genome from the International Wheat Genome Sequencing Consortium (IWGSC) to obtain their physical positions. Candidate genes within the QTL confidence intervals were predicted based on the reference genome and functional annotation information (Zeng et al, 2020;Wang et al, 2021).…”

Section: Genetic Linkage Map Construction and Qtl Mappingmentioning

confidence: 99%

QTL mapping and KASP marker development for seed vigor related traits in common wheat

et al. 2022

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Seed vigor is an important parameter of seed quality, and identification of seed vigor related genes can provide an important basis for highly efficient molecular breeding in wheat. In the present study, a doubled haploid (DH) population with 174 lines derived from a cross between Yangmai16 and Zhongmai 895 was used to evaluate 10 seed vigor related traits in Luoyang during the 2018-2019 cropping season and in Mengjin and Luoning Counties during 2019-2020 cropping season for three environments. Quantitative trait locus (QTL) mapping of 10 seed vigor related traits in the DH population resulted in the discovery/identification of 28 QTLs on chromosomes 2B, 3D, 4B, 4D, 5A, 5B, 6A, 6B, 6D, 7A and 7D, explaining 3.6-23.7% of the phenotypic variances. Among them, one QTL cluster for shoot length, root length and vigor index was mapped between AX-89421921 and Rht-D1_SNP on chromosome 4D in the physical intervals of 18.78-19.29 Mb (0.51 Mb), explaining 9.2-20.5% of the phenotypic variances. Another QTL for these traits was identified at the physical position 185.74 Mb on chromosome 5B, which was flanked by AX-111465230 and AX-109519938 and accounted for 8.0-13.3% of the phenotypic variances. Two QTLs for shoot length, shoot fresh weight and shoot dry weight were identified in the marker intervals of AX-109384026-AX-111120402 and AX-111651800-AX-94443918 on chromosomes 6A and 6B, explaining 8.2-11.7% and 3.6-10.3% of the phenotypic variance, respectively; both alleles for increasing phenotypic values were derived from Yangmai 16. We also developed the KASP markers for the QTL cluster QVI.haust-4D.1/QSL.haust-4D/QRL.haust-4D, and validated in an international panel of 135 wheat accessions. The germplasm, genes and KASP markers were developed for breeders to improve wheat varieties with seed vigor related traits.

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Genetic analysis and gene detection of fructan content using DArT molecular markers in spring bread wheat (Triticum aestivum L.) grain

Cited by 7 publications

References 31 publications

Characterization of the starch molecular structure of wheat varying in the content of resistant starch

Characterization of the starch molecular structure of wheat varying in the content of resistant starch

QTL cluster analysis and marker development for kernel traits based on DArT markers in spring bread wheat (Triticum aestivum L.)

QTL mapping and KASP marker development for seed vigor related traits in common wheat

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