QTL Mapping for Grain Zinc and Iron Concentrations in Bread Wheat

Wang, Yue; Xu, Xiaoting; Hao, Yuanfeng; Zhang, Yelun; Liu, Yuping; Pu, Zhien; Tian, Yubing; Xu, Dengan; Xia, Xianchun; He, Zhonghu; Zhang, Yong

doi:10.3389/fnut.2021.680391

Cited by 23 publications

(18 citation statements)

References 41 publications

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“…For example, Gorafi et al (2016) and our group found one wheat Fe QTL near the 496 Mb position on chromosome 5D, and Pu et al (2014) and our team also found one wheat Fe QTL near the 616 Mb position on chromosome 7D. In addition, we found some QTLs in locations similar to those of their counterparts from previous studies, which suggests that at least some of the results of this study are consistent with those of previous studies ( Arora et al, 2019 ; Alomari et al, 2018 ; Crespo-Herrera et al, 2017 ; Cu et al, 2020 ; Rathan et al, 2021 ; Roshanzamir, Kordenaeej & Bostani, 2013 ; Wang et al, 2021a ; Wang et al, 2021b ). No other QTLs reported in the present study were identified in previous studies.…”

Section: Resultssupporting

confidence: 91%

“…The present associated mapping population exhibits a quantitative mode of inheritance for grain Fe concentration, which is in agreement with previous reports ( Tiwari et al, 2009 ; Srinivasa et al, 2014 ). Numerous previous QTL mapping studies have been conducted for wheat grain Fe ( Arora et al, 2019 ; Alomari et al, 2018 ; Cu et al, 2020 ; Gorafi et al, 2016 ; Rathan et al, 2021 ; Velu et al, 2017 ; Wang et al, 2021a ; Wang et al, 2021b ). A previous study conducted by Pu et al (2014) reported five QTLs for grain Fe on chromosomes 2B, 4A, 5A, 5B, and 7D using recombinant inbred line population of wheat, and these QTLs coincided with the lociAX-111087936, AX-109551612, AX-110549899, AX-109486399, and AX-95112608 identified in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, GWAS has become an important approach in QTL mapping for important and complex agronomic traits ( Gao et al, 2016 ). Various studies have been carried out to identify QTLs associated with wheat grain Fe ( Arora et al, 2019 ; Alomari et al, 2018 ; Crespo-Herrera et al, 2017 ; Cu et al, 2020 ; Gorafi et al, 2016 ; Kumar et al, 2018 ; Peleg et al, 2009 ; Rathan et al, 2021 ; Roshanzamir, Kordenaeej & Bostani, 2013 ; Shi et al, 2013 ; Srinivasa et al, 2014 ; Tiwari et al, 2016 ; Velu et al, 2017 ; Wang et al, 2021a ; Wang et al, 2021b ). Furthermore, Uauy et al (2006) have reported a NAC gene ( NAM-B1 ) that associated with increased grain Fe content.…”

Section: Introductionmentioning

confidence: 99%

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Genetic dissection of grain iron concentration in hexaploid wheat (Triticum aestivum L.) using a genome-wide association analysis method

Wang

Shi

Zhou

et al. 2022

PeerJ

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Iron (Fe) is an essential micronutrient of the body. Low concentrations of bioavailable Fe in staple food result in micronutrient malnutrition. Wheat (Triticum aestivum L.) is the most important global food crop and thus has become an important source of iron for people. Breeding nutritious wheat with high grain-Fe content has become an effective means of alleviating malnutrition. Understanding the genetic basis of micronutrient concentration in wheat grains may provide useful information for breeding for high Fe varieties through marker-assisted selection (MAS). Hence, in the present study, genome-wide association studies (GWAS) were conducted for grain Fe. An association panel of 207 accessions was genotyped using a 660K SNP array and phenotyped for grain Fe content at three locations. The genotypic and phenotypic data obtained thus were used for GWAS. A total of 911 SNPs were significantly associated with grain Fe concentrations. These SNPs were distributed on all 21 wheat chromosomes, and each SNP explained 5.79–25.31% of the phenotypic variations. Notably, the two significant SNPs (AX-108912427 and AX-94729264) not only have a more significant effect on grain Fe concentration but also have the reliability under the different environments. Furthermore, candidate genes potentially associated with grain Fe concentration were predicted, and 10 candidate genes were identified. These candidate genes were related to transport, translocation, remobilization, and accumulationof ironin wheat plants. These findings will not only help in better understanding the molecular basis of Fe accumulation in grains, but also provide elite wheat germplasms to develop Fe-rich wheat varieties through breeding.

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Section: Resultssupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic dissection of grain iron concentration in hexaploid wheat (Triticum aestivum L.) using a genome-wide association analysis method

Wang

Shi

Zhou

et al. 2022

PeerJ

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“…In a separate study, eight major QTLs for GZn and four for GFe were detected on chromosomes 1B, 1D, 2B, 3A, 3D, 6B, 7A, and 7B using a total of 127 hexaploid RILs, which accounted for 10.0-31.0% of the phenotypic variation. Wang et al (2021) detected one major QTL for GZn and one for GFe on chromosome 4D, which was a pleiotropic QTL. Liu et al (2019) detected 1 major QTL for GZn and 2 for GFe on chromosomes 2B, 3B, and 5A, which accounted for 10.8-14.6% of the phenotypic variation.…”

Section: Introductionmentioning

confidence: 92%

“…SNPs closely linked to the target QTLs were transformed into KASP markers. PolyMarker (http://www.polymarker.info/) was used to design KASP primers (Wang et al 2021). A uorescent quantitative real-time (qRT)-PCR instrument (C1000 Touch; Bio-Rad, California, USA) was used for gel-free uorescent signal scanning and allele separation (Chandra et al 2017).…”

Section: Conversion Of Snps To Kompetitive Allele Speci C Pcr (Kasp) ...mentioning

confidence: 99%

Pleiotropic effect analysis and marker development for grain zinc and iron concentrations in spring wheat

et al. 2022

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Wheat (Triticum aestivum L.) is one of the main food crops in the world and a primary source of zinc (Zn) and iron (Fe) in the human body. The genetic mechanisms underlying related traits have been clari ed, thereby providing a molecular theoretical foundation for the development of germplasm resources. In this study, 23,536 high-quality DArT markers were used to map quantitative trait loci (QTL) of grain Zn (GZn) and grain Fe (GFe) concentrations in recombinant inbred lines from Avocet/Chilero. A total of 17 QTLs located on chromosomes 1BL, 2BL, 3BL, 4AL, 4BS, 5AL, 5DL, 6AS, 6BS, 6DS, and 7AS accounted for 0.38-16.62% of the phenotypic variance. QGZn.haust-4AL, QGZn.haust-7AS.1, and QGFe.haust-6BS were detected on chromosomes 4AL, 6BS, and 7AS, accounting for 10.63-16.62% of the phenotypic variance. Four stable QTLs, QGZn.haust-4AL, QGFe.haust-1BL, QGFe.haust-4AL, and QGFe.haust-5DL were located on chromosomes 1BL, 4AL, and 5DL. Three pleiotropic effects locus for GZn and GFe concentrations were located on chromosomes 1BL, 4AL, and 5DL. Two highthroughput Kompetitive Allele Speci c PCR markers were developed by closely linking single nucleotide polymorphisms on chromosomes 4AL and 5DL, which were validated by a germplasm panel. Therefore, it is the most important that quantitative trait loci and KASP marker for grain zinc and iron concentrations were developed for utilizing in marker-assisted breeding and bioforti cation of wheat grain in breeding programs.

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Identification of genetic loci for powdery mildew resistance in bread wheat

Zhao,

Zeng,

Liu

et al. 2023

Crop Science

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Powdery mildew is a very destructive disease that threatens yield and quality of wheat. In the present study, 262 recombinant inbred lines derived from a cross between Zhongmai 578 (ZM578) with moderate resistance to powdery mildew and Jimai 22 (JM22) with high resistance to powdery mildew in the field were used to map powdery mildew resistance loci using the high‐density Illumina iSelect 50K single‐nucleotide polymorphism array. Three quantitative trait loci (QTLs) on chromosomes 2B, 5B, and 5D were identified by inclusive composite interval mapping, designated as QPm.caas‐2BL.1, QPm.caas‐5BL, and QPm.caas‐5DL, respectively, explaining 5.0%–37.0% of the phenotypic variances. The resistance allele of QPm.caas‐5BL was contributed by ZM578, whereas alleles of QPm.caas‐2BL.1 and QPm.caas‐5DL were from JM22. QPm.caas‐2BL.1, detected in all the six experimental environments, was a major and stable QTL. QPm.caas‐5DL was detected in five of the six environments and is likely to be a new QTL for powdery mildew resistance. The kompetitive allele‐specific PCR (KASP) markers Kpm‐2BL and Kpm‐5DL for QPm.caas‐2BL.1 and QPm.caas‐5DL, respectively, were validated in a diverse panel of 287 cultivars. These KASP markers, tightly linked with the QTLs, can be used for marker‐assisted breeding targeting the improvement of powdery mildew resistance in wheat.

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QTL Mapping for Grain Zinc and Iron Concentrations in Bread Wheat

Cited by 23 publications

References 41 publications

Genetic dissection of grain iron concentration in hexaploid wheat (Triticum aestivum L.) using a genome-wide association analysis method

Genetic dissection of grain iron concentration in hexaploid wheat (Triticum aestivum L.) using a genome-wide association analysis method

Pleiotropic effect analysis and marker development for grain zinc and iron concentrations in spring wheat

Identification of genetic loci for powdery mildew resistance in bread wheat

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