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Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds

BACKGROUND: Cicer reticulatum L. is the wild progenitor of chickpea Cicer arietinum L., the fourth most important pulse crop in the world. Iron (Fe) and zinc (Zn) are vital micronutrients that play crucial roles in sustaining life by acting as co-factors for various proteins. AIMS AND OBJECTIVES: In...

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Autores principales: Karaca, Nur, Ates, Duygu, Nemli, Seda, Ozkuru, Esin, Yilmaz, Hasan, Yagmur, Bulent, Kartal, Canan, Tosun, Muzaffer, Ozdestan, Ozgul, Otles, Semih, Kahriman, Abdullah, Chang, Peter, Tanyolac, Muhammed Bahattin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521033/
https://www.ncbi.nlm.nih.gov/pubmed/33071615
http://dx.doi.org/10.2174/1389202921666200413150951
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author Karaca, Nur
Ates, Duygu
Nemli, Seda
Ozkuru, Esin
Yilmaz, Hasan
Yagmur, Bulent
Kartal, Canan
Tosun, Muzaffer
Ozdestan, Ozgul
Otles, Semih
Kahriman, Abdullah
Chang, Peter
Tanyolac, Muhammed Bahattin
author_facet Karaca, Nur
Ates, Duygu
Nemli, Seda
Ozkuru, Esin
Yilmaz, Hasan
Yagmur, Bulent
Kartal, Canan
Tosun, Muzaffer
Ozdestan, Ozgul
Otles, Semih
Kahriman, Abdullah
Chang, Peter
Tanyolac, Muhammed Bahattin
author_sort Karaca, Nur
collection PubMed
description BACKGROUND: Cicer reticulatum L. is the wild progenitor of chickpea Cicer arietinum L., the fourth most important pulse crop in the world. Iron (Fe) and zinc (Zn) are vital micronutrients that play crucial roles in sustaining life by acting as co-factors for various proteins. AIMS AND OBJECTIVES: In order to improve micronutrient-dense chickpea lines, this study aimed to investigate variability and detect DNA markers associated with Fe and Zn concentrations in the seeds of 73 cultivated (C. arietinum L.) and 107 C. reticulatum genotypes. METHODS: A set of 180 accessions was genotyped using 20,868 single nucleotide polymorphism (SNP) markers obtained from genotyping by sequencing analysis. RESULTS: The results revealed substantial variation in the seed Fe and Zn concentration of the surveyed population. Using STRUCTURE software, the population structure was divided into two groups according to the principal component analysis and neighbor-joining tree analysis. A total of 23 and 16 associated SNP markers related to Fe and Zn concentrations, respectively were identified in TASSEL software by the mixed linear model method. Significant SNP markers found in more than two environments were accepted as more reliable than those that only existed in a single environment. CONCLUSION: The identified markers can be used in marker-assisted selection in chickpea breeding programs for the improvement of seed Fe and Zn concentrations in the chickpea.
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spelling pubmed-75210332020-10-16 Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds Karaca, Nur Ates, Duygu Nemli, Seda Ozkuru, Esin Yilmaz, Hasan Yagmur, Bulent Kartal, Canan Tosun, Muzaffer Ozdestan, Ozgul Otles, Semih Kahriman, Abdullah Chang, Peter Tanyolac, Muhammed Bahattin Curr Genomics Article BACKGROUND: Cicer reticulatum L. is the wild progenitor of chickpea Cicer arietinum L., the fourth most important pulse crop in the world. Iron (Fe) and zinc (Zn) are vital micronutrients that play crucial roles in sustaining life by acting as co-factors for various proteins. AIMS AND OBJECTIVES: In order to improve micronutrient-dense chickpea lines, this study aimed to investigate variability and detect DNA markers associated with Fe and Zn concentrations in the seeds of 73 cultivated (C. arietinum L.) and 107 C. reticulatum genotypes. METHODS: A set of 180 accessions was genotyped using 20,868 single nucleotide polymorphism (SNP) markers obtained from genotyping by sequencing analysis. RESULTS: The results revealed substantial variation in the seed Fe and Zn concentration of the surveyed population. Using STRUCTURE software, the population structure was divided into two groups according to the principal component analysis and neighbor-joining tree analysis. A total of 23 and 16 associated SNP markers related to Fe and Zn concentrations, respectively were identified in TASSEL software by the mixed linear model method. Significant SNP markers found in more than two environments were accepted as more reliable than those that only existed in a single environment. CONCLUSION: The identified markers can be used in marker-assisted selection in chickpea breeding programs for the improvement of seed Fe and Zn concentrations in the chickpea. Bentham Science Publishers 2020-04 2020-04 /pmc/articles/PMC7521033/ /pubmed/33071615 http://dx.doi.org/10.2174/1389202921666200413150951 Text en © 2020 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Karaca, Nur
Ates, Duygu
Nemli, Seda
Ozkuru, Esin
Yilmaz, Hasan
Yagmur, Bulent
Kartal, Canan
Tosun, Muzaffer
Ozdestan, Ozgul
Otles, Semih
Kahriman, Abdullah
Chang, Peter
Tanyolac, Muhammed Bahattin
Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title_full Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title_fullStr Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title_full_unstemmed Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title_short Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds
title_sort identification of snp markers associated with iron and zinc concentrations in cicer seeds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521033/
https://www.ncbi.nlm.nih.gov/pubmed/33071615
http://dx.doi.org/10.2174/1389202921666200413150951
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