Association mapping for total phenols, total flavonoids and antioxidant activity in a Mesoamerican bean diversity panel

Beans are highly important for food and nutritional security in several South America, Asia, and Africa countries. Exploiting this crop’s genetic diversity is essential for breeding programs’ success. The objective of this study was to identify genomic regions associated with total phenolic content (TPC), total flavonoid content (FLA), and antioxidant activity (DPPH) in common bean grains in a Mesoamerican bean diversity panel. Phenotypic data were collected from two locations (Research Stations of the Paraná Rural Development Institute IAPAR-EMATER – IDR-Paraná) in the municipalities of Londrina and Guarapuava, Paraná, Brazil, and were subjected to variance analysis, heritability estimation, as well as histogram, density distribution, and boxplot analyses to assess genetic progress for black and carioca cultivars. For the genotypic data, four multi-locus genome-wide association studies (GWAS) were conducted to detect significant QTNs for the target traits. All analyses were performed using the R software. Analysis of variance showed a significant effect of genotype and genotype × environment interaction (p<0.01) for all traits, while no significant effect was observed for the environment. Heritability ranged from 93.1% to 99.8%, indicating low influence of environmental variation. Significant correlations (p<0.01) were observed among the traits evaluated. After filtering the SNPs obtained via GBS, 25,011 high-quality SNPs were identified for the GWAS study. After removing SNPs with high linkage disequilibrium, 707 SNPs were retained for population structure analysis. In total, 147 unique QTNs were significant for the three biochemical traits studied (TPC, FLA, and DPPH), of which 41 were detected at least twice by one of the seven multi-locus methods used or in different environments analyzed (Londrina, Guarapuava, and LSmeans). Candidate genes linked to the biosynthesis of phenolic compounds and antioxidant activity were also identified, highlighting the genetic complexity of these traits.

Authors

Institutions

Publication Details

Journal
Frontiers in Agronomy
Published
2025-04-28
DOI
https://doi.org/10.3389/fagro.2025.1537871
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association mapping for total phenols, total flavonoids and antioxidant activity in a Mesoamerican bean diversity panel

Leandro Simões Azeredo Gonçalves, Alison Fernando Nogueira, José dos Santos Neto, Diego Santos Fagundes et al.
Frontiers in Agronomy
Plant pathogens and resistance mechanisms
article

Association mapping for total phenols, total flavonoids and antioxidant activity in a Mesoamerican bean diversity panel

Leandro Simões Azeredo Gonçalves, Alison Fernando Nogueira, José dos Santos Neto, Diego Santos Fagundes, Jéssica Delfini, Vânia Moda‐Cirino, Paul Gepts
article en

Abstract

Beans are highly important for food and nutritional security in several South America, Asia, and Africa countries. Exploiting this crop’s genetic diversity is essential for breeding programs’ success. The objective of this study was to identify genomic regions associated with total phenolic content (TPC), total flavonoid content (FLA), and antioxidant activity (DPPH) in common bean grains in a Mesoamerican bean diversity panel. Phenotypic data were collected from two locations (Research Stations of the Paraná Rural Development Institute IAPAR-EMATER – IDR-Paraná) in the municipalities of Londrina and Guarapuava, Paraná, Brazil, and were subjected to variance analysis, heritability estimation, as well as histogram, density distribution, and boxplot analyses to assess genetic progress for black and carioca cultivars. For the genotypic data, four multi-locus genome-wide association studies (GWAS) were conducted to detect significant QTNs for the target traits. All analyses were performed using the R software. Analysis of variance showed a significant effect of genotype and genotype × environment interaction (p<0.01) for all traits, while no significant effect was observed for the environment. Heritability ranged from 93.1% to 99.8%, indicating low influence of environmental variation. Significant correlations (p<0.01) were observed among the traits evaluated. After filtering the SNPs obtained via GBS, 25,011 high-quality SNPs were identified for the GWAS study. After removing SNPs with high linkage disequilibrium, 707 SNPs were retained for population structure analysis. In total, 147 unique QTNs were significant for the three biochemical traits studied (TPC, FLA, and DPPH), of which 41 were detected at least twice by one of the seven multi-locus methods used or in different environments analyzed (Londrina, Guarapuava, and LSmeans). Candidate genes linked to the biosynthesis of phenolic compounds and antioxidant activity were also identified, highlighting the genetic complexity of these traits.

Frontiers in AgronomyVol. 7
Universidade Estadual de Londrina (BR), Sociedade Brasileira de Educação Matemática (BR), Instituto Agronômico do Paraná (BR), University of California, Davis (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 94%
Plant pathogens and resistance mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.