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

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

Apa Reference Kondratova, L., Vallejos, C.E. & Conesa, A. (2025). Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics. BMC Genomics, 26(1). 10.1186/s12864-025-11309-2
Doi 10.1186/s12864-025-11309-2
Publication Date 20 Feb 2025
Publication Type Article
Researcher Ana Conesa
Ontology Model organisms, Genomics, Gene regulatory networks, Regulatory biology, Sequence analysis, Molecular Interactions/Docking, Non-model organisms, Comparative Genomics
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