Abstract

The expansion of bean genome technologies has prompted new perspectives on generating resources and knowledge essential to research and implementing biotechnological tools for the practical operations of plant breeding programs. This study aimed to resequence the entire genome (whole genome sequencing—WGS) of 40 bean genotypes selected based on their significance in breeding programs worldwide, with the objective of generating an extensive database for the identification of single nucleotide polymorphisms (SNPs). Over 6 million SNPs were identified, distributed across the 11 bean chromosomes. After quality variant filtering, 420,509 high-quality SNPs were established, with an average of 38,228 SNPs per chromosome. These variants were categorized based on their predicted effects, revealing that the majority exerted a modifier impact on non-coding genome regions (94.68%). Notably, a significant proportion of SNPs occurred in intergenic regions (62.89%) and at least one SNP was identified in 58.63% of the genes annotated in the bean genome. Of particular interest, 7841 SNPs were identified in 85% of the putative plant disease defense-related genes, presenting a valuable resource for crop breeding efforts. These findings provide a foundation for the development of innovative and broadly applicable technologies for the routine selection of superior genotypes in global bean improvement and germplasm characterization programs.

Details

Title
Whole-genome resequencing of common bean elite breeding lines
Author
de Souza, Isabela Pavanelli 1 ; de Azevedo, Beatriz Rosa 2 ; Coelho, Alexandre Siqueira Guedes 3 ; de Souza, Thiago Lívio Pessoa Oliveira 4 ; Valdisser, Paula Arielle Mendes Ribeiro 5 ; Gomes-Messias, Lucas Matias 6 ; Funicheli, Breno Osvaldo 7 ; Brondani, Claudio 8 ; Vianello, Rosana Pereira 8 

 Brazilian Agricultural Research Corporation, Genetics and Plant Breeding, Santo Antônio de Goiás, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X) 
 Brazilian Agricultural Research Corporation, Biotechnology, Scientific Initiation Scholarship, Santo Antônio de Goiás, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X) 
 Universidade Federal de Goiás, Plant Breeding, Goiânia, Brazil (GRID:grid.411195.9) (ISNI:0000 0001 2192 5801) 
 Brazilian Agricultural Research Corporation, Plant Breeding, Santo Antônio de Goiás, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X) 
 Brazilian Agricultural Research Corporation, Genetics and Molecular Biology, Santo Antônio de Goiás, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X) 
 Universidade Federal de Goiás, Genetics and Plant Breeding, Goiânia, Brazil (GRID:grid.411195.9) (ISNI:0000 0001 2192 5801) 
 Universidade Federal de São Carlos, Computer Science, São Carlos, Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X) 
 Brazilian Agricultural Research Corporation, Molecular Biology, Santo Antônio de Goiás, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X) 
Pages
12721
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2846402440
Copyright
© Springer Nature Limited 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.