Evidence map›Paper›PMID 39883624›Full record

ArticlePloS one2025

Genetic diversity, population structure in a historical panel of Brazilian soybean cultivars.

Adriel Carlos da Silva, Danielle C Gregorio da Silva, Everton Geraldo Capote Ferreira, Ricardo V Abdelnoor, Aluízio Borém, Carlos Arrabal Arias, Marcelo F Oliveira, Marcio Elias F de Oliveira, Francismar Corrêa Marcelino-Guimarães

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Allele variation at the Rdm3 locus conferring resistance to soybean southern stem canker.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adriel Carlos da SilvaCentro de Ciências Biológicas, Programa de Pós-Graduação em Genética Melhoramento, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0001-7288-8764
Danielle C Gregorio da SilvaEmpresa Brasileira de Pesquisa e Agropecuária-Embrapa Soja, Laboratório de Biotecnologia Vegetal e Bioinformática, Londrina, Paraná, Brazil.
Everton Geraldo Capote FerreiraThe Sainsbury Laboratory-TSL, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0003-3326-5876
Ricardo V AbdelnoorEmpresa Brasileira de Pesquisa e Agropecuária-Embrapa Soja, Laboratório de Biotecnologia Vegetal e Bioinformática, Londrina, Paraná, Brazil.
Aluízio BorémCentro de Ciências Biológicas, Programa de Pós-Graduação em Genética Melhoramento, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Carlos Arrabal AriasThe Sainsbury Laboratory-TSL, University of East Anglia, Norwich, United Kingdom.
Marcelo F OliveiraThe Sainsbury Laboratory-TSL, University of East Anglia, Norwich, United Kingdom.
Marcio Elias F de OliveiraEmbrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil.
Francismar Corrêa Marcelino-GuimarãesThe Sainsbury Laboratory-TSL, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0002-5828-7249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean [Glycine max (L.) Merrill] is one of the most widely grown legumes in the world, with Brazil being its largest producer and exporter. Breeding programs in Brazil have resulted from multiple cycles of selection and recombination starting from a small number of USA cultivar ancestors in the 1950s and 1960s years. This process has led to the successful adaptation of this crop to tropical conditions, a phenomenon known as tropicalization. Many studies describe a narrow genetic background in Brazilian soybean cultivars. Various factors can affect the genetic diversity in species, especially in cultivated crops, such as the reproduction type, artificial selection, and the number and sources of variability in the breeding programs. In turns, the genetic diversity can affect the linkage disequilibrium blocks (LD) patterns and, consequently, molecular breeding strategies for selection of target loci for agronomic traits. We used high-throughput genotyping with SoySNP50K Illumina SNP markers to assess a collection of 370 Brazilian soybean accessions covering more than 60 years of soybean breeding in Brazil. Our goal was to investigate population structure and genetic diversity in the Brazilian germplasm, detect patterns of LD blocks, and identify regions presenting signals of selective swaps linked with quantitative trait loci (QTLs) of agronomic interest. Population structure analysis revealed two major groups among all genotypes, primarily differentiated by the year of release, separating old and new cultivars (before and after 2000´s years), and by growth habit (stem termination type-SST). The group I comprises about 75% of the panel and includes cultivars release before 2000`s years, including the oldest cultivars released in Brazil, most of which exhibit a determinate growth habit and maturity groups VI and VII. Group II includes only 83 materials, but shows higher levels of diversity than group I, representing most recent introductions in Brazilian germplasm. Further analysis of substructure within Group I, identified seven subgroups with no clear trend for segregation based on maturity group, STT or year of release. Instead, these subgroups were based on the contribution of key donors of disease resistance and adaptability, as soybean cultivation expanded from the South to Central region of Brazil. This finding is consistent with the history of soybean expansion in Brazil. We identified 123 genomic regions under selection among the groups of Brazilian cultivars associated with 440 quantitative trait loci (QTLs), revealing regions fixed across the breeding process associated with yield, disease resistance, water efficiency use, and others.

Indexed as

Genetic VariationGlycine maxBrazilGenotypeLinkage DisequilibriumPlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID39883624
PMCPMC11781709

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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.