Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> 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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Main Authors: Agnieszka Tomkowiak, Jan Bocianowski, Łukasz Wolko, Józef Adamczyk, Sylwia Mikołajczyk, Przemysław Łukasz Kowalczewski
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Plants
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Online Access:https://www.mdpi.com/2223-7747/8/9/330
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author Agnieszka Tomkowiak
Jan Bocianowski
Łukasz Wolko
Józef Adamczyk
Sylwia Mikołajczyk
Przemysław Łukasz Kowalczewski
author_facet Agnieszka Tomkowiak
Jan Bocianowski
Łukasz Wolko
Józef Adamczyk
Sylwia Mikołajczyk
Przemysław Łukasz Kowalczewski
author_sort Agnieszka Tomkowiak
collection DOAJ
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<sup>2</sup> 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&#8212;50% of flowering plants, time of silk emergence&#8212;50% of flowering plants, anthocyanin coloration of anthers and cob diameter), SilicoDArT 5587991 (anthocyanin coloration of glumes of cob, time of anthesis&#8212;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 doaj.art-a5d074a8fd7b4691b84fc0c8828f2c3e2022-12-22T04:09:37ZengMDPI AGPlants2223-77472019-09-018933010.3390/plants8090330plants8090330Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)Agnieszka Tomkowiak0Jan Bocianowski1Łukasz Wolko2Józef Adamczyk3Sylwia Mikołajczyk4Przemysław Łukasz Kowalczewski5Department of Genetics and Plant Breeding, Poznań University of Life Sciences, 11 Dojazd St., 60-632 Poznań, PolandDepartment of Mathematical and Statistical Methods, Poznań University of Life Sciences, 28 Wojska Polskiego St., 60-637 Poznań, PolandDepartment of Biochemistry and Biotechnology, Poznań University of Life Sciences, 11 Dojazd St., 60-632 Poznań, PolandPlant Breeding Smolice Ltd., Co., Smolice 146, 63-740 Kobylin, PolandDepartment of Genetics and Plant Breeding, Poznań University of Life Sciences, 11 Dojazd St., 60-632 Poznań, PolandInstitute of Food Technology of Plant Origin, Poznań University of Life Sciences, 31 Wojska Polskiego St., 60-624 Poznań, PolandAssociation 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<sup>2</sup> 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&#8212;50% of flowering plants, time of silk emergence&#8212;50% of flowering plants, anthocyanin coloration of anthers and cob diameter), SilicoDArT 5587991 (anthocyanin coloration of glumes of cob, time of anthesis&#8212;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.https://www.mdpi.com/2223-7747/8/9/330genome-wide association mappingcandidate gene association mappingDArTSeqSNP
spellingShingle Agnieszka Tomkowiak
Jan Bocianowski
Łukasz Wolko
Józef Adamczyk
Sylwia Mikołajczyk
Przemysław Łukasz Kowalczewski
Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
Plants
genome-wide association mapping
candidate gene association mapping
DArTSeq
SNP
title Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
title_full Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
title_fullStr Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
title_full_unstemmed Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
title_short Identification of Markers Associated with Yield Traits and Morphological Features in Maize (<i>Zea mays</i> L.)
title_sort identification of markers associated with yield traits and morphological features in maize i zea mays i l
topic genome-wide association mapping
candidate gene association mapping
DArTSeq
SNP
url https://www.mdpi.com/2223-7747/8/9/330
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AT sylwiamikołajczyk identificationofmarkersassociatedwithyieldtraitsandmorphologicalfeaturesinmaizeizeamaysil
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