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GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan

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 sout...

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Autores principales: Zatybekov, Alibek, Abugalieva, Saule, Didorenko, Svetlana, Gerasimova, Yelena, Sidorik, Ivan, Anuarbek, Shynar, Turuspekov, Yerlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688460/
https://www.ncbi.nlm.nih.gov/pubmed/29143671
http://dx.doi.org/10.1186/s12870-017-1125-0
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author Zatybekov, Alibek
Abugalieva, Saule
Didorenko, Svetlana
Gerasimova, Yelena
Sidorik, Ivan
Anuarbek, Shynar
Turuspekov, Yerlan
author_facet Zatybekov, Alibek
Abugalieva, Saule
Didorenko, Svetlana
Gerasimova, Yelena
Sidorik, Ivan
Anuarbek, Shynar
Turuspekov, Yerlan
author_sort Zatybekov, Alibek
collection PubMed
description 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.
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spelling pubmed-56884602017-11-22 GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan Zatybekov, Alibek Abugalieva, Saule Didorenko, Svetlana Gerasimova, Yelena Sidorik, Ivan Anuarbek, Shynar Turuspekov, Yerlan BMC Plant Biol Research 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. BioMed Central 2017-11-14 /pmc/articles/PMC5688460/ /pubmed/29143671 http://dx.doi.org/10.1186/s12870-017-1125-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zatybekov, Alibek
Abugalieva, Saule
Didorenko, Svetlana
Gerasimova, Yelena
Sidorik, Ivan
Anuarbek, Shynar
Turuspekov, Yerlan
GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title_full GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title_fullStr GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title_full_unstemmed GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title_short GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan
title_sort gwas of agronomic traits in soybean collection included in breeding pool in kazakhstan
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688460/
https://www.ncbi.nlm.nih.gov/pubmed/29143671
http://dx.doi.org/10.1186/s12870-017-1125-0
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