Evidence map›Paper›PMID 37543642›Full record

ArticleScientific reports2023

Whole-genome resequencing of common bean elite breeding lines.

Isabela Pavanelli de Souza, Beatriz Rosa de Azevedo, Alexandre Siqueira Guedes Coelho, Thiago Lívio Pessoa Oliveira de Souza, Paula Arielle Mendes Ribeiro Valdisser, Lucas Matias Gomes-Messias, Breno Osvaldo Funicheli, Claudio Brondani, Rosana Pereira Vianello

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Isabela Pavanelli de SouzaGenetics and Plant Breeding, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil. isabela.pavanelli@gmail.com.
Beatriz Rosa de AzevedoBiotechnology, Scientific Initiation Scholarship, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.
Alexandre Siqueira Guedes CoelhoPlant Breeding, Universidade Federal de Goiás, Goiânia, GO, Brazil.
Thiago Lívio Pessoa Oliveira de SouzaPlant Breeding, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.
Paula Arielle Mendes Ribeiro ValdisserGenetics and Molecular Biology, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.
Lucas Matias Gomes-MessiasGenetics and Plant Breeding, Universidade Federal de Goiás, Goiânia, GO, Brazil.
Breno Osvaldo FunicheliComputer Science, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Claudio BrondaniMolecular Biology, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.
Rosana Pereira VianelloMolecular Biology, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

PhaseolusGenome, PlantGenotypePlant BreedingPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID37543642
PMCPMC10404220

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.