Evidence map›Paper›PMID 31630318›Full record

ArticleMolecular biology reports2020

Characterization of genetic diversity and population structure in wheat using array based SNP markers.

Deepender Kumar, Vinod Chhokar, Sonia Sheoran, Rajender Singh, Pradeep Sharma, Sarika Jaiswal, M A Iquebal, Akanksha Jaiswar, J Jaisri, U B Angadi and 4 more

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Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

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29citing papers in PubMed
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3 · Its place in the literature

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29 citing papers in PubMed.

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  19. Elucidating the Genetic Relationships on the Original Old SicilianInternational journal of molecular sciences · 2022
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5 · Who and what money

Authors and funding

14 authors.

Deepender KumarDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
Vinod ChhokarDepartment of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
Sonia SheoranICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Rajender SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Pradeep SharmaICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Sarika JaiswalICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
M A IquebalICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
Akanksha JaiswarICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
J JaisriICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
U B AngadiICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
Anil RaiICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
G P SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Dinesh KumarICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
Ratan TiwariICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India. ratan.tiwari@icar.gov.in.

Funding

Indian Council of Agricultural Research; Ministry of Agriculture and Farmer's welfare, Government of India F.No. Agril. Edn.4-1/2013-A&P
6 · The paper itself

Abstract

Genetic diversity is crucial for successful adaptation and sustained improvement in crops. India is bestowed with diverse agro-climatic conditions which makes it rich in wheat germplasm adapted to various niches. Germplasm repository consists of local landraces, trait specific genetic stocks including introgressions from wild relatives, exotic collections, released varieties, and improved germplasm. Characterization of genetic diversity is done using morpho-physiological characters as well as by analyzing variations at DNA level. However, there are not many reports on array based high throughput SNP markers having characteristics of genome wide coverage employed in Indian spring wheat germplasm. Amongst wheat SNP arrays, 35K Axiom Wheat Breeder's Array has the highest SNP polymorphism efficiency suitable for genetic mapping and genetic diversity characterization. Therefore, genotyping was done using 35K in 483 wheat genotypes resulting in 14,650 quality filtered SNPs, that were distributed across the B (~ 50%), A (~ 39%), and D (~ 10%) genomes. The total genetic distance coverage was 4477.85 cM with 3.27 SNP/cM and 0.49 cM/SNP as average marker density and average inter-marker distance, respectively. The PIC ranged from 0.09 to 0.38 with an average of 0.29 across genomes. Population structure and Principal Coordinate Analysis resulted in two subpopulations (SP1 and SP2). The analysis of molecular variance revealed the genetic variation of 2% among and 98% within subpopulations indicating high gene flow between SP1 and SP2. The subpopulation SP2 showed high level of genetic diversity based on genetic diversity indices viz. Shannon's information index (I) = 0.648, expected heterozygosity (He) = 0.456 and unbiased expected heterozygosity (uHe) = 0.456. To the best of our knowledge, this study is the first to include the largest set of Indian wheat genotypes studied exclusively for genetic diversity. These findings may serve as a potential source for the identification of uncharacterized QTL/gene using genome wide association studies and marker assisted selection in wheat breeding programs.

Indexed as

Chromosome MappingChromosomes, PlantEdible GrainGenetic VariationGenome, PlantGenome-Wide Association StudyGenotypePhenotypePlant BreedingPoaceaePolymorphism, Single NucleotideTriticum35KAMOVAGenetic diversityIndian Spring wheatPopulation structureSingle nucleotide polymorphism

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.