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Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions

Title: Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions
Authors: Fernanda Carla Ferreira de Pontes; Ingrid Pinheiro Machado; Maria Valnice de Souza Silveira; Antônio Lucas Aguiar Lobo; Felipe Sabadin; Roberto Fritsche-Neto; Júlio César DoVale
Source: Frontiers in Plant Science, Vol 15 (2025)
Publisher Information: Frontiers Media S.A.
Publication Year: 2025
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: SNP-array; genotyping by sequencing; simulated genome; GWAS; genotyping platforms; candidate genes; Plant culture; SB1-1110
Description: Genome-wide Association Studies (GWAS) identify genome variations related to specific phenotypes using Single Nucleotide Polymorphism (SNP) markers. Genotyping platforms like SNP-Array or sequencing-based techniques (GBS) can genotype samples with many SNPs. These approaches may bias tropical maize analyses due to reliance on the temperate line B73 as the reference genome. An alternative is a simulated genome called “Mock,” adapted to the population using bioinformatics. Recent studies show SNP-Array, GBS, and Mock yield similar results for population structure, heterotic groups definition, tester selection, and genomic hybrid prediction. However, no studies have examined the results generated by these different genotyping approaches for GWAS. This study aims to test the equivalence among the three genotyping scenarios in identifying significant effect genes in GWAS. To achieve this, maize was used as the model species, where SNP-Array genotyped 360 inbred lines from a public panel via the Affymetrix platform and GBS. The GBS data were used to perform SNP calling using the temperate inbred line B73 as the reference genome (GBS-B73) and a simulated genome “Mock” obtained in-silico (GBS-Mock). The study encompassed four above-ground traits with plants grown under two levels of water supply: well-watered (WW) and water-stressed (WS). In total, 46, 34, and 31 SNP were identified in the SNP-Array, GBS-B73, and GBS-Mock scenarios, respectively, across the two water levels, associated with the evaluated traits following the comparative analysis of each genotyping method individually. Overall, the identified candidate genes varied along the various scenarios but had the same functionality. Regarding SNP-Array and GBS-B73, genes with functional similarity were identified even without coincidence in the physical position of the SNPs. These genes and regions are involved in various processes and responses with applications in plant breeding. In terms of accuracy, the combination of genotyping scenarios compared to those ...
Document Type: article in journal/newspaper
Language: English
Relation: https://www.frontiersin.org/articles/10.3389/fpls.2024.1442008/full; https://doaj.org/toc/1664-462X; https://doaj.org/article/0143a57705ff4cddb0ca64a684f7ccae
DOI: 10.3389/fpls.2024.1442008
Availability: https://doi.org/10.3389/fpls.2024.1442008; https://doaj.org/article/0143a57705ff4cddb0ca64a684f7ccae
Accession Number: edsbas.3EB8C728
Database: BASE