Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics

Common bean (Phaseolus vulgaris), a staple food in Latin America and Africa, serves as a vital source of energy, protein, and essential minerals for millions of people. However, genomics knowledge that breeders could leverage for improvement of this crop is scarce. We have developed and validated a comparative genomics approach to predict conserved transcription factor binding sites (TFBS) in common bean and studied gene regulatory networks. We analyzed promoter regions and identified TFBS for 12,631 bean genes with an average of 6 conserved motifs per gene. Moreover, we discovered a statistically significant relationship between the number of conserved motifs and amount of available experimental evidence of gene regulation. Notably, ERF, MYB, and bHLH transcription factor families dominated conserved motifs, with implications for starch biosynthesis regulation. Furthermore, we provide gene regulatory data as a resource that can be interrogated for the regulatory landscape of any set of genes. Our results underscore the significance of TFBS conservation in legumes and aligns with the notion that core genes often exhibit a more conserved regulatory makeup. The study demonstrates the effectiveness of a comparative genomics approach for addressing genome information gaps in non-model organisms and provides valuable insights into the regulatory networks governing starch biosynthesis genes that can support crop improvement programs.

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Publication Details

Journal
BMC Genomics
Published
2025-02-20
DOI
https://doi.org/10.1186/s12864-025-11309-2
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics

Ana Conesa, Liudmyla Kondratova, C. Eduardo Vallejos
BMC Genomics
Plant pathogens and resistance mechanisms
article

Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics

Ana Conesa, Liudmyla Kondratova, C. Eduardo Vallejos
article en

Abstract

Common bean (Phaseolus vulgaris), a staple food in Latin America and Africa, serves as a vital source of energy, protein, and essential minerals for millions of people. However, genomics knowledge that breeders could leverage for improvement of this crop is scarce. We have developed and validated a comparative genomics approach to predict conserved transcription factor binding sites (TFBS) in common bean and studied gene regulatory networks. We analyzed promoter regions and identified TFBS for 12,631 bean genes with an average of 6 conserved motifs per gene. Moreover, we discovered a statistically significant relationship between the number of conserved motifs and amount of available experimental evidence of gene regulation. Notably, ERF, MYB, and bHLH transcription factor families dominated conserved motifs, with implications for starch biosynthesis regulation. Furthermore, we provide gene regulatory data as a resource that can be interrogated for the regulatory landscape of any set of genes. Our results underscore the significance of TFBS conservation in legumes and aligns with the notion that core genes often exhibit a more conserved regulatory makeup. The study demonstrates the effectiveness of a comparative genomics approach for addressing genome information gaps in non-model organisms and provides valuable insights into the regulatory networks governing starch biosynthesis genes that can support crop improvement programs.

BMC GenomicsVol. 26(1)
University of Florida (US), ID Genomics (United States) (US), Institute for Integrative Systems Biology (ES), U.S. Horticultural Research Laboratory (US)
National Science Foundation
Openalex Percentile: Top 98%
Plant pathogens and resistance mechanisms
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Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics — Ana Conesa, Liudmyla Kondratova, et al. · BMC Genomics (2025) | TGRS Research Map | TGRS