Evidence map›Paper›PMID 31242867›Full record

ArticleBMC genomics2019

Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean.

Teshale Assefa, Paul I Otyama, Anne V Brown, Scott R Kalberer, Roshan S Kulkarni, Steven B Cannon

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
12.5field-weighted citation impact, top 2% of its field
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Fine mapping and candidate gene analysis of qPH19.1, a locus for soybean (Glycine max L.) plant height.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  14. Understanding the Molecular Regulatory Networks of Seed Size in Soybean.International journal of molecular sciences · 2024
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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

6 authors at 2 institutions in 1 country.

Teshale AssefaORISE Fellow, USDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, Iowa, USA.
Paul I OtyamaAgronomy Department, Iowa State University, Ames, IA, USA.
Anne V BrownUSDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, Iowa, USA.
Scott R KalbererUSDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, Iowa, USA.
Roshan S KulkarniAgronomy Department, Iowa State University, Ames, IA, USA.
Steven B CannonUSDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, Iowa, USA. steven.cannon@ars.usda.gov.ORCID http://orcid.org/0000-0003-2777-8034
Agricultural Research Service · USIowa State University · US

Funding

Agricultural Research Service 5030-21000-062-00D
6 · The paper itself

Abstract

backgroundBreeding programs benefit from information about marker-trait associations for many traits, whether the goal is to place those traits under active selection or to maintain them through background selection. Association studies are also important for identifying accessions bearing potentially useful alleles by characterizing marker-trait associations and allelic states across germplasm collections. This study reports the results of a genome-wide association study and evaluation of epistatic interactions for four agronomic and seed-related traits in soybean.

resultsUsing 419 diverse soybean accessions, together with genotyping data from the SoySNP50K Illumina Infinium BeadChip, we identified marker-trait associations for internode number (IN), plant height (PH), seed weight (SW), and seed yield per plant (SYP). We conducted a genome-wide epistatic study (GWES), identifying candidate genes that show evidence of SNP-SNP interactions. Although these candidate genes will require further experimental validation, several appear to be involved in developmental processes related to the respective traits. For IN and PH, these include the Dt1 determinacy locus (a soybean meristematic transcription factor), as well as a pectinesterase gene and a squamosa promoter binding gene that in other plants are involved in cell elongation and the vegetative-to-reproductive transition, respectively. For SW, candidate genes include an ortholog of the AP2 gene, which in other species is involved in maintaining seed size, embryo size, seed weight and seed yield. Another SW candidate gene is a histidine phosphotransfer protein - orthologs of which are involved in cytokinin-mediated seed weight regulating pathways. The SYP association loci overlap with regions reported in previous QTL studies to be involved in seed yield.

conclusionsThis study further confirms the utility of GWAS and GWES approaches for identifying marker-trait associations and interactions within a diverse germplasm collection.

Indexed as

Epistasis, GeneticGenome-Wide Association StudyGenotypeGlycine maxOrgan SizePolymorphism, Single NucleotideSeedsEpistasisGWASGWESInternode numberPlant heightQTLSeed weightSeed yield per plantSoybean

Identifiers

PMID31242867
PMCPMC6595607
OpenAlexW2955521586

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LicenceCC BY
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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.