Evidence map›Paper›PMID 39510980›Full record

ArticleThe plant genome2024

Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean.

Shameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, Shriprabha Upadhyaya, Monica F Danilevicz, Henry T Nguyen, Babu Valliyodan, Adam Mahan, Jacqueline Batley, David Edwards

Abstract read
In one paragraph

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  4. Article
  5. Article
  6. 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

10 authors.

Shameela MohamedikbalCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0009-0005-4576-5802
Hawlader A Al-MamunCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0003-2453-0914
Jacob I MarshDepartment of Biology, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-3734-2023
Shriprabha UpadhyayaCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0001-9511-9562
Monica F DanileviczCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0001-7599-8184
Henry T NguyenDivision of Plant Science & Technology, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-7597-1800
Babu ValliyodanDepartment of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, Missouri, USA.ORCID https://orcid.org/0000-0001-9457-9508
Adam MahanUSDA-ARS, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0002-2690-2761
Jacqueline BatleyCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0002-5391-5824
David EdwardsCentre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0001-7599-6760

Funding

Australian Government and the Government of Western AustraliaAustralian Research Council DP200100762Australian Research Council DP210100296USDA Evans Allen Project
6 · The paper itself

Abstract

The timing of flowering in soybean [Glycine max (L.) Merr.], a key legume crop, is influenced by many factors, including daylight length or photoperiodic sensitivity, that affect crop yield, productivity, and geographical adaptation. Despite its importance, a comprehensive understanding of the local linkage landscape and allelic diversity within regions of the genome influencing flowering and contributing to phenotypic variation in subpopulations has been limited. This study addresses these gaps by conducting an in-depth trait association and linkage analysis coupled with local haplotyping using advanced bioinformatics tools, including crosshap, to characterize genomic variation using a pangenome dataset representing 915 domesticated and wild-type individuals. The association analysis identified eight significant loci on seven chromosomes. Moving beyond traditional association analysis, local haplotyping of targeted regions on chromosomes 6 and 20 identified distinct haplotype structures, variation patterns, and genomic candidates influencing flowering in subpopulations. These results suggest the action of a network of genomic candidates influencing flowering time and an untapped reservoir of genomic variation for this trait in wild germplasm. Notably, GlymaLee.20G147200 on chromosome 20 was identified as a candidate gene that may cause delayed flowering in soybean, potentially through histone modifications of floral repressor loci as seen in Arabidopsis thaliana (L.) Heynh. These findings support future functional validation of haplotype-based alleles for marker-assisted breeding and genomic selection to enhance latitude adaptability of soybean without compromising yield.

Indexed as

FlowersGlycine maxHaplotypesDomesticationQuantitative Trait Loci

Identifiers

PMID39510980
PMCPMC11628924

What OpenQuestion holds

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Registered trials

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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.