Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management

Jaiswal, Sarika; Sheoran, Sonia; Arora, Vasu; Angadi, U. B.; Iquebal, Mir Asif; Raghav, Nishu; Aneja, Bharti; Kumar, Dhiraj; Singh, Rajender; Sharma, Pradeep; Singh, Gyanendra; Rai, Anil; Tiwari, Ruchi; Kumar, Dinesh

doi:10.3389/fpls.2017.02009

Cited by 23 publications

(8 citation statements)

References 60 publications

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“…In accordance, Chao et al (2007) reported that a high polymorphism among wheat genotypes in the B genome followed by D and A genomes. In addition, microsatellite distribution was abundance on chromosomes of the B genome followed by chromosomes of the A and D genomes (Jaiswal et al 2017). Chen and Li (2007) found that the ranking of average locus diversity per genome was D˃B˃A in synthetic hexaploid wheat genotypes also, they reported that the D genome contained the highest mean number of alleles (6.32) followed by A and B genomes (6.13 and 5.94, respectively).…”

Section: Discussionmentioning

confidence: 98%

Assessment of Genetic Diversity for Some Egyptian Wheat Varieties based on Morphological Characters and SSR Markers

El-Rawy

2020

Scientific Journal of Agricultural Sciences

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The genetic diversity estimates can be useful in important genotypes selection for plant breeders. Eight durum and three bread wheat cultivars were used to study and compare morphological traits with molecular study using SSR technique based genetic diversity estimates. Significant and highly significant differences among wheat genotypes were observed for all traits except flag leaf attitude and outer glume pubescence. Highly significant differences were obtained between durum and bread wheat genotypes for most studied traits. Moderate to low broad-sense heritability estimates were obtained for morphological studied traits. Positive and high significant correlation was found for ear density with foliage color (r= 0.51), waxiness of flag leaf sheath (r= 0.57), waxiness of peduncle (r= 0.60) and peduncle length (r= 0.53), whereas a negative correlation was found between ear density and plant height (r=-0.52, P<0.01). However, waxiness of flag leaf sheath was positively correlated with ear waxiness (r= 0.53, P<0.01), waxiness of peduncle (r= 0.56, P<0.01), and Peduncle length (r= 0.43, P<0.05). The higher polymorphism (90.63%) was found in the B genome than in the A genome (81.97%). Single marker analysis showed that 11 SSR markers were significantly associated with phenotypic traits, including Xgwm111-2B associated with waxiness of peduncle. A significant but low correlation (r = 0.25) was found between the dissimilarity matrix generated from the phenotypic data and that obtained from the SSR markers, suggesting that the characterization based on agromorphological traits and SSR markers will be a useful tool to the breeders for selection of genotypes with appropriate.

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Section: Discussionmentioning

confidence: 98%

Assessment of Genetic Diversity for Some Egyptian Wheat Varieties based on Morphological Characters and SSR Markers

El-Rawy

2020

Scientific Journal of Agricultural Sciences

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“…Optimized melt-profiling assay show lower problems due to non-specific peaks and spikes [59], as also seen in the present study. The SYBR Green melt-profiling for STMS detection was also helpful for allele differentiation, which is important in cases where a particular allele is linked to a desirable trait [11,12]. The assay differentiated between a STMS allele (signal peak) and a null allele (no signal peak) in a straightforward manner and showed capability to detect polymorphism among STMS alleles.…”

Section: Discussionmentioning

confidence: 99%

GLADS: A gel-less approach for detection of STMS markers in wheat and rice

et al. 2019

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Sequence tagged microsatellite site (STMS) are useful PCR based DNA markers. Wide genome coverage, high polymorphic index and co-dominant nature make STMS a preferred choice for marker assisted selection (MAS), genetic diversity analysis, linkage mapping, seed genetic purity analysis etc. Routine STMS analysis involving low-throughput, laborious and time-consuming polyacrylamide/agarose gels often limit their full utility in crop breeding experiments that involve large populations. Therefore, convenient, gel-less marker detection methods are highly desirable for STMS markers. The present study demonstrated the utility of SYBR Green dye based melt-profiling as a simple and convenient gel-less approach for detection of STMS markers (referred to as GLADS) in bread wheat and rice. The method involves use of SYBR Green dye during PCR amplification (or post-PCR) of STMS markers followed by generation of a melt-profile using controlled temperature ramp rate. The STMS amplicons yielded characteristic melt-profiles with differences in melting temperature (Tm) and profile shape. These characteristic features enabled melt-profile based detection and differentiation of STMS markers/alleles in a gel-less manner. The melt-profile approach allowed assessment of the specificity of the PCR assay unlike the end-point signal detection assays. The method also allowed multiplexing of two STMS markers with non-overlapping melt-profiles. In principle, the approach can be effectively used in any crop for STMS marker analysis. This SYBR Green melt-profiling based GLADS approach offers a convenient, low-cost (20–51%) and time-saving alternative for STMS marker detection that can reduce dependence on gel-based detection, and exposure to toxic chemicals.

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“…Violaxanthin undergoes synthesis by the enzyme neoxanthin synthase to form neoxanthin and as precursor of the plant hormone abscisic acid. wheat (Jaiswal et al, 2017), maize (Sharopova et al, 2002) and pearl millet (Senthilvel et al, 2008). Thus, MAB in cereals has become standard procedure and many researchers to improve the levels of carotenoids and folates in cereals are pursuing these markers.…”

Section: Genomics-enabled Breeding Approaches For Improving Carotenoids and Folatesmentioning

confidence: 99%

Genomics-Integrated Breeding for Carotenoids and Folates in Staple Cereal Grains to Reduce Malnutrition

Ashokkumar¹,

Govindaraj

Karthikeyan

et al. 2020

Front. Genet.

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Globally, two billion people suffer from micronutrient deficiencies. Cereal grains provide more than 50% of the daily requirement of calories in human diets, but they often fail to provide adequate essential minerals and vitamins. Cereal crop production in developing countries achieved remarkable yield gains through the efforts of the Green Revolution (117% in rice, 30% in wheat, 530% in maize, and 188% in pearl millet). However, modern varieties are often deficient in essential micronutrients compared to traditional varieties and land races. Breeding for nutritional quality in staple cereals is a challenging task; however, biofortification initiatives combined with genomic tools increase the feasibility. Current biofortification breeding activities include improving rice (for zinc), wheat (for zinc), maize (for provitamin A), and pearl millet (for iron and zinc). Biofortification is a sustainable approach to enrich staple cereals with provitamin A, carotenoids, and folates. Significant genetic variation has been found for provitamin A (96-850 µg and 12-1780 µg in 100 g in wheat and maize, respectively), carotenoids (558-6730 µg in maize), and folates in rice (11-51 µg) and wheat (32.3-89.1 µg) in 100 g. This indicates the prospects for biofortification breeding. Several QTLs associated with carotenoids and folates have been identified in major cereals, and the most promising of these are presented here. Breeding for essential nutrition should be a core objective of next-generation crop breeding. This review synthesizes the available literature on folates, provitamin A, and carotenoids in rice, wheat, maize, and pearl millet, including genetic variation, trait discovery, QTL identification, gene introgressions, and the strategy of genomics-assisted biofortification for these traits. Recent evidence shows that genomics-assisted breeding for grain nutrition in rice, wheat, maize, and pearl millet crops have good potential to aid in the alleviation of micronutrient malnutrition in many developing countries.

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Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management

Cited by 23 publications

References 60 publications

Assessment of Genetic Diversity for Some Egyptian Wheat Varieties based on Morphological Characters and SSR Markers

Assessment of Genetic Diversity for Some Egyptian Wheat Varieties based on Morphological Characters and SSR Markers

GLADS: A gel-less approach for detection of STMS markers in wheat and rice

Genomics-Integrated Breeding for Carotenoids and Folates in Staple Cereal Grains to Reduce Malnutrition

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