GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
| Autor: | Ivan Sidorik, Yerlan Turuspekov, Svetlana Didorenko, Alibek Zatybekov, Shynar Anuarbek, Yelena Gerasimova, Saule Abugalieva |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Genetic Markers
0106 biological sciences 0301 basic medicine Quantitative Trait Loci Growing season Single-nucleotide polymorphism Plant Science Quantitative trait locus Biology Polymorphism Single Nucleotide 01 natural sciences Chromosomes Plant 03 medical and health sciences Yield components lcsh:Botany GWAS Plant breeding Gene–environment interaction Genotyping business.industry Research Chromosome Mapping food and beverages Single nucleotide polymorphisms Kazakhstan Biotechnology lcsh:QK1-989 Plant Breeding Phenotype 030104 developmental biology Agriculture Genetic marker Gene-Environment Interaction Soybeans business Soybean Genome Plant Genome-Wide Association Study 010606 plant biology & botany |
| Zdroj: | BMC Plant Biology, Vol 17, Iss S1, Pp 1-8 (2017) BMC Plant Biology |
| ISSN: | 1471-2229 |
| DOI: | 10.1186/s12870-017-1125-0 |
| Popis: | Background In recent years soybean is becoming one of the most important oilseed crops in Kazakhstan. Only within the last ten years (2006–2016), the area under soybean is expanded from 45 thousand hectares (ha) in 2006 to 120 thousand ha in 2016. The general trend of soybean expansion is from south-eastern to eastern and northern regions of the country, where average temperatures are lower and growing seasons are shorter. These new soybean growing territories were poorly examined in terms of general effects on productivity level among the diverse sample of soybean accessions. In this study, phenotypic data were collected in three separate regions of Kazakhstan and entire soybean sample was genotyped for identification of marker-trait associations (MTA). Results In this study, the collection of 113 accessions representing five different regions of the World was planted in 2015–2016 in northern, eastern, and south-eastern regions of Kazakhstan. It was observed that North American accessions showed the highest yield in four out of six trials especially in Northern Kazakhstan in both years. The entire sample was genotyped with 6 K SNP Illumina array. 4442 SNPs found to be polymorphic and were used for whole genome genotyping purposes. Obtained SNP markers data and field data were used for GWAS (genome-wide association study). 30 SNPs appear to be very significant in 42 MTAs in six studied environments. Conclusions The study confirms the efficiency of GWAS for the identification of molecular markers which tag important agronomic traits. Overall thirty SNP markers associated with time to flowering and maturation, plant height, number of fertile nodes, seeds per plant and yield were identified. Physical locations of 32 identified out of 42 total MTAs coincide well with positions of known analogous QTLs. This result indicates importance of revealed MTAs for soybean growing regions in Kazakhstan. Obtained results would serve as required prerequisite for forming and realization of specific breeding programs towards effective adaptation and increased productivity of soybean in three different regions of Kazakhstan. Electronic supplementary material The online version of this article (10.1186/s12870-017-1125-0) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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