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Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)

Association mapping is a powerful approach to detect associations between traits of interest and genetic markers based on linkage disequilibrium in molecular plant breeding. The aim of this study was the identification of single nucleotide polymorphisms (SNPs) and SilicoDArT markers associated with...

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Autores principales: Tomkowiak, Agnieszka, Bocianowski, Jan, Wolko, Łukasz, Adamczyk, Józef, Mikołajczyk, Sylwia, Kowalczewski, Przemysław Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783969/
https://www.ncbi.nlm.nih.gov/pubmed/31491958
http://dx.doi.org/10.3390/plants8090330
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author Tomkowiak, Agnieszka
Bocianowski, Jan
Wolko, Łukasz
Adamczyk, Józef
Mikołajczyk, Sylwia
Kowalczewski, Przemysław Łukasz
author_facet Tomkowiak, Agnieszka
Bocianowski, Jan
Wolko, Łukasz
Adamczyk, Józef
Mikołajczyk, Sylwia
Kowalczewski, Przemysław Łukasz
author_sort Tomkowiak, Agnieszka
collection PubMed
description Association mapping is a powerful approach to detect associations between traits of interest and genetic markers based on linkage disequilibrium in molecular plant breeding. The aim of this study was the identification of single nucleotide polymorphisms (SNPs) and SilicoDArT markers associated with yield traits and morphological features in maize. Plant material constituted inbred lines. The field experiment with inbred lines was established on 10 m(2) plots in a set of complete random blocks in three replicates. We observed 22 quantitative traits. Association mapping was performed in this study using a method based on the mixed linear model with the population structure estimated by eigenanalysis (principal component analysis applied to all markers) and modeled by random effects. As a result of mapping, 969 markers (346 SNPs and 623 SilocoDArT) were selected from 49,911 identified polymorphic molecular markers, which were significantly associated with the analyzed morphological features and yield structure traits. Markers associated with five or six traits were selected during further analyses, including SilicoDArT 4591115 (anthocyanin coloration of anthers, length of main axis above the highest lateral branch, cob length, number of grains per cob, weight of fresh grains per cob and weight of fresh grains per cob at 15% moisture), SilicoDArT 7059939 (anthocyanin coloration of glumes of cob, time of anthesis—50% of flowering plants, time of silk emergence—50% of flowering plants, anthocyanin coloration of anthers and cob diameter), SilicoDArT 5587991 (anthocyanin coloration of glumes of cob, time of anthesis—50% of flowering plants, anthocyanin coloration of anthers, curvature of lateral branches and number of rows of grain). The two genetic similarity dendrograms between the inbred lines were constructed based on all significant SNPs and SilicoDArT markers. On both dendrograms lines clustered according to the kernel structure (flint, dent) and origin. The selected markers may be useful in predicting hybrid formulas in a heterosis culture. The present study demonstrated that molecular SNP and Silico DArT markers could be used in this species to group lines in terms of origin and lines with incomplete origin data. They can also be useful in maize in predicting the hybrid formula and can find applications in the selection of parental components for heterosis crossings.
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spelling pubmed-67839692019-10-16 Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.) Tomkowiak, Agnieszka Bocianowski, Jan Wolko, Łukasz Adamczyk, Józef Mikołajczyk, Sylwia Kowalczewski, Przemysław Łukasz Plants (Basel) Article Association mapping is a powerful approach to detect associations between traits of interest and genetic markers based on linkage disequilibrium in molecular plant breeding. The aim of this study was the identification of single nucleotide polymorphisms (SNPs) and SilicoDArT markers associated with yield traits and morphological features in maize. Plant material constituted inbred lines. The field experiment with inbred lines was established on 10 m(2) plots in a set of complete random blocks in three replicates. We observed 22 quantitative traits. Association mapping was performed in this study using a method based on the mixed linear model with the population structure estimated by eigenanalysis (principal component analysis applied to all markers) and modeled by random effects. As a result of mapping, 969 markers (346 SNPs and 623 SilocoDArT) were selected from 49,911 identified polymorphic molecular markers, which were significantly associated with the analyzed morphological features and yield structure traits. Markers associated with five or six traits were selected during further analyses, including SilicoDArT 4591115 (anthocyanin coloration of anthers, length of main axis above the highest lateral branch, cob length, number of grains per cob, weight of fresh grains per cob and weight of fresh grains per cob at 15% moisture), SilicoDArT 7059939 (anthocyanin coloration of glumes of cob, time of anthesis—50% of flowering plants, time of silk emergence—50% of flowering plants, anthocyanin coloration of anthers and cob diameter), SilicoDArT 5587991 (anthocyanin coloration of glumes of cob, time of anthesis—50% of flowering plants, anthocyanin coloration of anthers, curvature of lateral branches and number of rows of grain). The two genetic similarity dendrograms between the inbred lines were constructed based on all significant SNPs and SilicoDArT markers. On both dendrograms lines clustered according to the kernel structure (flint, dent) and origin. The selected markers may be useful in predicting hybrid formulas in a heterosis culture. The present study demonstrated that molecular SNP and Silico DArT markers could be used in this species to group lines in terms of origin and lines with incomplete origin data. They can also be useful in maize in predicting the hybrid formula and can find applications in the selection of parental components for heterosis crossings. MDPI 2019-09-05 /pmc/articles/PMC6783969/ /pubmed/31491958 http://dx.doi.org/10.3390/plants8090330 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tomkowiak, Agnieszka
Bocianowski, Jan
Wolko, Łukasz
Adamczyk, Józef
Mikołajczyk, Sylwia
Kowalczewski, Przemysław Łukasz
Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title_full Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title_fullStr Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title_full_unstemmed Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title_short Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
title_sort identification of markers associated with yield traits and morphological features in maize (zea mays l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783969/
https://www.ncbi.nlm.nih.gov/pubmed/31491958
http://dx.doi.org/10.3390/plants8090330
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