Evidence map›Paper›PMID 38263616›Full record

ArticleThe plant genome2024

Common signatures of selection reveal target loci for breeding across soybean populations.

João Paulo Gomes Viana, Arián Avalos, Zhihai Zhang, Randall Nelson, Matthew E Hudson

Abstract read
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Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

João Paulo Gomes VianaNational Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-9217-9604
Arián AvalosU. S. Department of Agriculture, Honeybee Breeding, Genetics, and Physiology Research, Baton Rouge, Louisiana, USA.ORCID 0000-0002-4011-3099
Zhihai ZhangDOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0001-7870-1112
Randall NelsonUSDA-ARS, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0001-9482-1763
Matthew E HudsonDOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-4737-0936

Funding

North Central Soybean Research Program SOYGEN consortium
6 · The paper itself

Abstract

Understanding the underlying genetic bases of yield-related selection and distinguishing these changes from genetic drift are critical for both improved understanding and future success of plant breeding. Soybean [Glycine max (L.) Merr.] is a key species for world food security, yet knowledge of the mechanism of selective breeding in soybean, such as the century-long program of artificial selection in U.S. soybean germplasm, is currently limited to certain genes and loci. Here, we identify genome-wide signatures of selection in separate populations of soybean subjected to artificial selection for increased yield by multiple breeding programs in the United States. We compared the alternative soybean breeding population (AGP) created by USDA-ARS to the conventional public soybean lines (CGP) developed at three different stages of breeding (ancestral, intermediate, and elite) to identify shared signatures of selection and differentiate these from drift. The results showed a strong selection for specific haplotypes identified by single site frequency and haplotype homozygosity methods. A set of common selection signatures was identified in both AGP and CGP that supports the hypothesis that separate breeding programs within similar environments coalesce on the fixation of the same key haplotypes. Signatures unique to each breeding program were observed. These results raise the possibility that selection analysis can allow the identification of favorable alleles to enhance directed breeding approaches.

Indexed as

Glycine maxPlant BreedingAllelesGenome-Wide Association StudyHaplotypesUnited States

Identifiers

PMID38263616
PMCPMC12807263

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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.