Evidence map›Paper›PMID 25928569›Full record

ArticleBMC plant biology2014

Application of next-generation sequencing technology to study genetic diversity and identify unique SNP markers in bread wheat from Kazakhstan.

Yuri Shavrukov, Radoslaw Suchecki, Serik Eliby, Aigul Abugalieva, Serik Kenebayev, Peter Langridge

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  8. International journal of molecular sciences · 2020
    Article
  9. Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuri ShavrukovAustralian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia. yuri.shavrukov@adelaide.edu.au.
Radoslaw SucheckiAustralian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia. radoslaw.suchecki@acpfg.com.au.
Serik ElibyAustralian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia. serik.eliby@adelaide.edu.au.
Aigul AbugalievaKazakh Research Institute of Agriculture and Crop Production, Almalybak, Kazakhstan. kiz_abugalieva@mail.ru.
Serik KenebayevKazakh Research Institute of Agriculture and Crop Production, Almalybak, Kazakhstan. serikkenenbayev@mail.ru.
Peter LangridgeAustralian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia. peter.langridge@acpfg.com.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew SNP marker platforms offer the opportunity to investigate the relationships between wheat cultivars from different regions and assess the mechanism and processes that have led to adaptation to particular production environments. Wheat breeding has a long history in Kazakhstan and the aim of this study was to explore the relationship between key varieties from Kazakhstan and germplasm from breeding programs for other regions.

resultsThe study revealed 5,898 polymorphic markers amongst ten cultivars, of which 2,730 were mapped in the consensus genetic map. Mapped SNP markers were distributed almost equally across the A and B genomes, with between 279 and 484 markers assigned to each chromosome. Marker coverage was approximately 10-fold lower in the D genome. There were 863 SNP markers identified as unique to specific cultivars, and clusters of these markers (regions containing more than three closely mapped unique SNPs) showed specific patterns on the consensus genetic map for each cultivar. Significant intra-varietal genetic polymorphism was identified in three cultivars (Tzelinnaya 3C, Kazakhstanskaya rannespelaya and Kazakhstanskaya 15). Phylogenetic analysis based on inter-varietal polymorphism showed that the very old cultivar Erythrospermum 841 was the most genetically distinct from the other nine cultivars from Kazakhstan, falling in a clade together with the American cultivar Sonora and genotypes from Central and South Asia. The modern cultivar Kazakhstanskaya 19 also fell into a separate clade, together with the American cultivar Thatcher. The remaining eight cultivars shared a single sub-clade but were categorised into four clusters.

conclusionThe accumulated data for SNP marker polymorphisms amongst bread wheat genotypes from Kazakhstan may be used for studying genetic diversity in bread wheat, with potential application for marker-assisted selection and the preparation of a set of genotype-specific markers.

Indexed as

Polymorphism, Single NucleotideChromosomes, PlantGenome, PlantKazakhstanSpecies SpecificityTriticum

Identifiers

PMID25928569
PMCPMC4180858

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Registered trials

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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.