Genetic diversity and population structure of wheat in India and Turkey

Khan, Mohd. Kamran; Thomas, George; Akkaya, Mahinur S.; Kayış, Seyit Ali; Özşensoy, Yusuf; Hamurcu, Mehmet; Gezgin, Sait; Topal, Ali; Hakkı, Erdoğan E.

doi:10.1093/aobpla/plv083

Cited by 57 publications

(45 citation statements)

References 60 publications

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“…Of all distances, 71.34% lay between 0.31 and 0.40 ( Figure 2). Khan et al (2015) evaluated the variability existing in a collection of 95 tetraploid and hexaploid varieties of wheat from India and Turkey. The genetic distances obtained among hexaploid varieties varied from 0.02 to 0.29 in India and from 0.05 to 0.58 in Turkey, which is a similar level of variability to that obtained in this study.…”

Section: Resultsmentioning

confidence: 99%

Genetic variability of Brazilian wheat germplasm obtained by high-density SNP genotyping

Scherlosky

Marchioro

Franco³

et al. 2018

Crop Breed. Appl. Biotechnol.

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The aim of this study was to evaluate the genetic diversity of the wheat germplasm using high-density genotyping with SNP markers. A set of 211 wheat varieties genotyped with 35,142 SNP markers were used in the experiment. Genetic distances ranged from 0.013 to 0.471, with the highest frequency of distances varying between 0.31 and 0.40. In the cluster analysis by the UPGMA method, 81% of the varieties were clustered in three groups. Genetic variability in the Brazilian wheat germplasm has remained constant for over 70 years. Mean genetic distances among the varieties developed in each decade ranged from 0.33 to 0.34. A trend of genetic distance between genotypes from different eras has been observed over time as a result of breeding. Results described in this study can help Brazilian wheat breeders to manage more adequately genetic variability in the Brazilian wheat germplasm.

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Section: Resultsmentioning

confidence: 99%

Genetic variability of Brazilian wheat germplasm obtained by high-density SNP genotyping

Scherlosky

Marchioro

Franco³

et al. 2018

Crop Breed. Appl. Biotechnol.

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“…In the recent years several studies investigated the genetic diversity and the population structure of wheat [3,5,7,10,16,19,34]. Despite these investigations we still have poor knowledge about this field [5].…”

Section: Discussionmentioning

confidence: 99%

SNP-based genetic diversity assessment among hungarian bread wheat (Triticum aestivum L.) genotypes

Körmöczi

Töth

Nagy-György

et al. 2019

CEREAL RESEARCH COMMUNICATIONS

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World's food supply will be a great challenge due to the rapid growth of human population. Therefore, wheat breeders are facing a great task to improve further the crop quality and quantity. Genetic improvement could be the key in this progression, which is based on the exploitation of genetic resources. So it is important to hold exact information about the wheat population structure, especially the genetic diversity of elite crop germplasm. Here, we provide the characterisation of 85 Hungarian wheat varieties from 3 different Hungarian breeding programmes (Szeged, Martonvásár and Karcag) trough Competitive Allele-Specific PCR (KASP) technique. Population structure of these accessions were examined by STRU CTU RE software and the ΔK values were calculating by the STRU CTU RE HARVESTER. These investigations revealed 3 subgroups in our wheat population with 21, 19 and 45 genotypes in GrI, GrII and GrIII, respectively. We could conclude that the GrI and GrIII subgroups contained genotypes from all three origins while GrII contained genotypes only from Szeged. We also examined the allele distribution of the Xgwm261 locus since the 192 bp allele is reported to be linked to semi-dwarfing gene Rht8, which has important role in the breeding process. Altogether we could observe 5 size variant products, but the 174 bp (22.35%), 192 bp (55.29%), and 198 bp (12.94%) long fragments could be found the most frequently. The present study confirms that population structure and genotype relatedness, based on molecular data, are consistent with the geography origin and available pedigree data. Moreover, this study could be the starting point of a following association mapping work.

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“…Various studies have estimated genetic diversity and phylogenetic relationship among wheat genotypes (Chen et al 2012;Khan et al 2015;Zarei Abbasabad et al 2016;Baloch et al 2017). Similarly various methods have been used for surveying population structures (Khan et al 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Molecular markers, based on microsatellite repeats (SSRs) are the most frequently used markers for genotyping (Tautz 1989). Several studies have described the use of SSRs to reveal polymorphisms in the wheat population (Hao et al 2011;Chen et al 2012;Ruiz et al 2012;Khan et al 2015;Zarei Abbasabad et al 2016). Diversity array technology (DArT) markers are also used with SSRs markers to reveal polymorphisms, as many genotypes may be screened in a cost-effective manner (Laido et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure of Mongolian Wheat Based on SSR Markers: Implications for Conservation and Management

Ya¹,

Raveendar²,

Bayarsukh³

et al. 2017

Plant Breed. Biotech.

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Production of spring wheat, the major crop in Mongolia, accounts for 98% of the cultivated area. Understanding genetic variability in existing gene bank accessions is critical for collection, conservation and use of wheat germplasms. To determine genetic diversity and population structure among a representative collection of Mongolian local wheat cultivars and lines, 200 wheat accessions were analyzed with 15 SSR markers distributed throughout the wheat genome. A total of 85 alleles were detected, with three to five alleles per locus and a mean genetic richness of 5.66. Average genetic diversity index was 0.69, with values ranging from 0.37-0.80. The 200 Mongolian wheat accessions were mainly divided into two subgroups based on structure and phylogenetic analyses, and some phenotypes were divergent by the subgroups. Results from this study will provide valuable information for conservation and sustainable use of Mongolian wheat genetic resources.

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Genetic diversity and population structure of wheat in India and Turkey

Cited by 57 publications

References 60 publications

Genetic variability of Brazilian wheat germplasm obtained by high-density SNP genotyping

Genetic variability of Brazilian wheat germplasm obtained by high-density SNP genotyping

SNP-based genetic diversity assessment among hungarian bread wheat (Triticum aestivum L.) genotypes

Genetic Diversity and Population Structure of Mongolian Wheat Based on SSR Markers: Implications for Conservation and Management

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