Identification of genetic loci affecting amylose content and agronomic traits on chromosome 4A of wheat

Araki, Etsuko; Miura, H.; Sawada, S.

doi:10.1007/s001220051158

Cited by 118 publications

(65 citation statements)

References 15 publications

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“…Kirigwi et al (2007) also identified a QTL for grain yield associated with marker wmc48, and a QTL for PH near the marker wmc491 (Figure 2). Meanwhile, the mapping results in this study were also in agreement with some QTLs reported by Araki et al (1999) and Börner et al (2002). In previous studies, QTLs for SL and SPS were detected in the marker interval gwm637-gwm160 on chromosome 4A (Li et al 2002;Jantasuriyarat et al 2004;Kumar et al 2007), while wmc707, wmc283 and wmc262 were located in this interval, and they were significantly correlated to SL and SPS in our study (Figure 2).…”

Section: Marker-trait Associationssupporting

confidence: 93%

“…In previous studies, a number of QTLs for agronomically important traits have been identified on chromosome 4A in wheat by linkage mapping approach, including plant height, heading date, grain yield, tiller number per plant, spike number per unit area, spike length, spikelet number, grain number, compactness and grain weight (Araki et al, 1999;Börner et al, 2002;Li et al 2002;Jantasuriyarat et al 2004;Kirigwi et al 2007;Kumar et al 2007). However, these QTLs were generally localized in larger intervals by linkage mapping.…”

Section: Introductionmentioning

confidence: 99%

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Association mapping of six agronomic traits on chromosome 4A of wheat (<em>Triticum aestivum</em> L.)

Liu¹,

Wang²,

Yao³

et al. 2010

mpb

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Association mapping is a powerful approach to identify associations between traits of interest and genetic markers. In this study, 103 wheat germplasm accessions from China were genotyped using 76 SSR markers and 40 EST-SSR markers. The phenotyping of plant height, spike length, spikelets per spike, spikelets density, grains per spike and thousand-kernel weight were carried out in three locations for three years. Six subpopulations were identified among these accessions by population structure analysis based on 49 SSR and 40 EST-SSR markers. Linkage disequilibrium (LD) on chromosome 4A extended up to ~3 cM with r 2 =0.054. Based on the mixed linear model considering population structure and relative kinship, a total of 10 SSR markers (p<0.01) on chromosome 4A were significantly associated with six agronomic traits, and six of them were associated with multiple traits. Some of the associated markers were in agreement with previous quantitative trait loci (QTL) analysis. This study demonstrated that association mapping can be successfully applied in wheat breeding context for detection of marker-traits associations. Furthermore, association mapping can enhance previous QTL information and provide additional QTL information for marker-assisted selection.

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Section: Marker-trait Associationssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Association mapping of six agronomic traits on chromosome 4A of wheat (<em>Triticum aestivum</em> L.)

Liu¹,

Wang²,

Yao³

et al. 2010

mpb

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show abstract

“…However, studies have shown that such disparities in the amylose/amylopection ratio may be due to genetic variations and environmental conditions [9,28]. It has been further postulated that amylose content may be affected by the expression of the amylose extender gene, where starches from sources with high expression of the gene would have higher amylose contents than those with lower gene expression [28,29]. It was also reported that a genetic variation in amylose content is due to allelic difference at the Wx-B1 locus on Chromosome 4A in sorghum starches [29].…”

Section: Resultsmentioning

confidence: 99%

Physicochemical Properties of Low-Amylose Yam (Dioscorea Spp.) Starches and its Impact on α- Amylase Degradation in Vitro

Riley¹

2014

IJNFS

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Starches from four low-amylose yam cultivars, cv.Chinese yam, Bitter yam, Yampie and Akam cultivated inJamaica were extracted and the relationship between physicochemical properties and in vitro digestibility investigated. A direct correlation between starch physicochemical properties and digestibility of the low-amylose starches was observed. Chinese and Bitter yam starches with the lowest amylose content were found to have the highest digestibility in vitro (21.27 ± 0.01 % and 18.11 ± 0.02 % respectively), while Akam and Yampie starches with higher amylose content had significantly lower percentage digestibility (p<0.05). The mean granular diameter of the starches ranged from 5.4 µm for Chinese yam to 29.58 µm for Yampie. The variations observed in the granular size may have influenced the surface properties of the starches, as Chinese yam was found to have the largest specific surface area (625.91 m2/kg) while Yampie had the lowest (117. 4 m2/kg). The digestibility of the starches was also influenced by granule diameter, specific surface area, crystalline pattern and surface-no. mean of the starches studied.

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“…A year later, thirteen RFLP probes and one morphological marker locus, Eps, were used to develop a genetic linkage map and identiied that an RFLP marker Xcdo549 on the short arm of chromosome 3A was associated with plant height, kernel number spike-1, and 1000-kernel weight [42]. Araki et al [43] reported one QTL for yield, Qyld.ocs-4A.1, and other yield-related traits of spikelet number ear, QSpn.ocs-4A.1, and grain weight/ear QGwe.ocs.-4A.1, on chromosome 4A which were detected by the Xbcd1738 marker. As wheat lodging can result in yield losses, nine QTLs for lodging resistance were detected with the genetic distance between the lanking RFLP markers, of which seven coincided with QTLs for morphological traits [44].…”

Section: Restriction Fragment Length Polymorphism (Rflp) Markersmentioning

confidence: 99%

Past, Present and Future Molecular Approaches to Improve Yield in Wheat

Kim¹,

Kim²,

Jang³

2017

Wheat Improvement, Management and Utilization

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This chapter addresses the development and use of molecular markers for yield enhancement in wheat. Since their key goal for breeding is to maximize yield, extensive eforts have been made toward the improvement of yield. Agronomic traits related to yield, yield-related, disease resistance, and abiotic stresses are considered to be quantitative traits (QTLs), also known as complex traits, because they are controlled by numerous genes and are afected by environmental factors. Researchers have been studying such traits in the past decades for the development of molecular markers which can be used in various wheat breeding studies mainly involving restriction fragment length polymorphism (RFLP), simple sequence repeat (SSR), single nucleotide polymorphism (SNP), random ampliied polymorphic DNA (RAPD), and ampliied fragment length polymorphism (AFLP). Furthermore, the advent of next-generation sequencing (NGS) has accelerated the discovery of agronomically important genes. All of the technologies have enabled great advances for increasing the productivity of wheat. Here, the past history of irst-generation sequencing, present status of second-generation sequencing, and future potential of translational genomics linked to the yield will be discussed.

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Identification of genetic loci affecting amylose content and agronomic traits on chromosome 4A of wheat

Cited by 118 publications

References 15 publications

Association mapping of six agronomic traits on chromosome 4A of wheat (<em>Triticum aestivum</em> L.)

Association mapping of six agronomic traits on chromosome 4A of wheat (<em>Triticum aestivum</em> L.)

Physicochemical Properties of Low-Amylose Yam (Dioscorea Spp.) Starches and its Impact on α- Amylase Degradation in Vitro

Past, Present and Future Molecular Approaches to Improve Yield in Wheat

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