Next Article in Journal
Mapping Lysosomal Storage Disorders with Neurological Features by Cellular Pathways: Towards Precision Medicine
Previous Article in Journal
Integrated Genetic and Protein Mechanisms Underlying Glucagon-like Peptide-1 Receptor Agonists in Treating Diabetes Mellitus and Weight Loss
Previous Article in Special Issue
Genetic Evidence Prioritizes Neurocognitive Decline as a Causal Driver of Sleep Disturbances: A Multi-Omics Analysis Identifying Causal Genes and Therapeutic Targets
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize

by
Maciej Lenort
1,
Agnieszka Tomkowiak
1,*,
Jan Bocianowski
2,*,
Roksana Bobrowska
1,
Danuta Kurasiak-Popowska
1,
Sylwia Mikołajczyk
1,
Tomasz Kosiada
3,
Dorota Weigt
1 and
Przemysław Gawrysiak
4
1
Department of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland
2
Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
3
Department of Phytopathology, Seed Science and Technology, Faculty of Agronomy, Horticulture and Bioengineering, Poznań University of Life Sciences, Dąbrowskiego 159, 60-594 Poznań, Poland
4
Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uni-wersytetu Poznańskiego 6, 61-614 Poznań, Poland
*
Authors to whom correspondence should be addressed.
Curr. Issues Mol. Biol. 2025, 47(12), 1008; https://doi.org/10.3390/cimb47121008
Submission received: 20 October 2025 / Revised: 24 November 2025 / Accepted: 26 November 2025 / Published: 30 November 2025
(This article belongs to the Special Issue Featured Papers in Bioinformatics and Systems Biology)

Abstract

Next-generation sequencing (NGS) has revolutionized genetic research, enabling the massive, rapid, and relatively inexpensive analysis of the genomes, transcriptomes, and epigenomes of various organisms, including maize. Therefore, this paper uses NGS, association mapping, and physical mapping to identify candidate genes associated with yield structure traits and yield in maize (Zea mays L.). Furthermore, expression analysis of selected candidate genes was performed to confirm their contribution to yield formation. The plant material used for the study was 186 F1 hybrids and 20 reference genotypes (high-yielding and low-yielding). Field experiments were conducted simultaneously in two locations (in Smolice and Kobierzyce). NGS yielded a total of 45,876 molecular markers (24,437 SilicoDArT markers and 21,439 SNP markers) relevant to yield and crop structure. The largest number of markers in both localities (Smolice and Kobierzyce) was related to: the number of grain rows (6960), dry matter content after harvest (6616), the number of grains in a row (6721), mass of grain from the cob (6616), and cob length (6564). The smallest number of markers in both localities was related to yield (t ha−1) (1114) and yield from the plot (1237). To narrow down the number of markers for physical mapping, ten were selected from all the significant ones associated with the same traits in both localities (Kobierzyce and Smolice). Significant markers included eight silicoDArT markers (459199, 2447305, 4768759, 4579916, 4764335, 2448946, 2492509, 4774802) and two SNP markers (9692004, 5587791). These markers were used for physical mapping. These markers are located on chromosomes 7, 8, and 10. Some of these markers are located at a considerable distance from characterized genes or within uncharacterized genes. Two markers caught our attention: SNP 5587791 and silicoDArT 4774802. The first one is located on chromosome 8 inside exon 5 of the LOC100383455 U-box domain-containing protein 7 gene, the second marker is also located on chromosome 8 near (300 bp) the LOC103635953 putative WUSCHEL-related homeobox 2 protein gene. Our own research and literature reports indicate the usefulness of next-generation sequencing, association mapping, and physical mapping for identifying candidate genes associated with economically important traits in maize. Furthermore, two genes characterized in detail in the publication, LOC100383455 U-box domain-containing protein 7 gene and LOC103635953 putative WUSCHEL-related homeobox 2 protein gene, may be involved in processes related to maize yield.
Keywords: Zea mays; yield; association mapping; next-generation sequencing (NGS); candidate genes Zea mays; yield; association mapping; next-generation sequencing (NGS); candidate genes

Share and Cite

MDPI and ACS Style

Lenort, M.; Tomkowiak, A.; Bocianowski, J.; Bobrowska, R.; Kurasiak-Popowska, D.; Mikołajczyk, S.; Kosiada, T.; Weigt, D.; Gawrysiak, P. Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize. Curr. Issues Mol. Biol. 2025, 47, 1008. https://doi.org/10.3390/cimb47121008

AMA Style

Lenort M, Tomkowiak A, Bocianowski J, Bobrowska R, Kurasiak-Popowska D, Mikołajczyk S, Kosiada T, Weigt D, Gawrysiak P. Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize. Current Issues in Molecular Biology. 2025; 47(12):1008. https://doi.org/10.3390/cimb47121008

Chicago/Turabian Style

Lenort, Maciej, Agnieszka Tomkowiak, Jan Bocianowski, Roksana Bobrowska, Danuta Kurasiak-Popowska, Sylwia Mikołajczyk, Tomasz Kosiada, Dorota Weigt, and Przemysław Gawrysiak. 2025. "Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize" Current Issues in Molecular Biology 47, no. 12: 1008. https://doi.org/10.3390/cimb47121008

APA Style

Lenort, M., Tomkowiak, A., Bocianowski, J., Bobrowska, R., Kurasiak-Popowska, D., Mikołajczyk, S., Kosiada, T., Weigt, D., & Gawrysiak, P. (2025). Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize. Current Issues in Molecular Biology, 47(12), 1008. https://doi.org/10.3390/cimb47121008

Article Metrics

Back to TopTop