Evidence map›Paper›PMID 39972264›Full record

ArticleBMC genomics2025

Genome-wide association study of fat content and fatty acid composition of shea tree (Vitellaria paradoxa C.F. Gaertn subsp. paradoxa).

Affi Jean Paul Attikora, Kouakou Alfred Kouassi, Saraka Didier Martial Yao, Dougba Noel Dago, Souleymane Silué, Caroline De Clerck, Nafan Diarrassouba, Taofic Alabi, Enoch G Achigan-Dako, Maurie-Laure Fauconnier and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Affi Jean Paul AttikoraPlant Genetics and Rhizosphere Processes Lab, University of Liege, Gembloux Agro Bio-Tech, Gembloux, 5030, Belgium. ajpattikora@uliege.be.ORCID http://orcid.org/0009-0005-5752-8337
Kouakou Alfred KouassiFood Science and Formulation, University of Liège, Gembloux Agro-Bio Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0003-0950-6668
Saraka Didier Martial YaoFaculty of Biological Sciences, Department of Biochemistry-Genetics, Educational and Research Unit of Genetic, University of Peleforo Gon Coulibaly (UPGC), Korhogo, BP 1328, Côte d'Ivoire.ORCID http://orcid.org/0000-0003-4622-3317
Dougba Noel DagoFaculty of Biological Sciences, Department of Biochemistry-Genetics, Educational and Research Unit of Genetic, University of Peleforo Gon Coulibaly (UPGC), Korhogo, BP 1328, Côte d'Ivoire.ORCID http://orcid.org/0000-0003-1517-054X
Souleymane SiluéFaculty of Biological Sciences, Department of Biochemistry-Genetics, Educational and Research Unit of Genetic, University of Peleforo Gon Coulibaly (UPGC), Korhogo, BP 1328, Côte d'Ivoire.ORCID http://orcid.org/0009-0003-4949-526X
Caroline De ClerckAgricultureIsLife, University of Liege, Gembloux Agro Bio-Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0001-5448-3464
Nafan DiarrassoubaFaculty of Biological Sciences, Department of Biochemistry-Genetics, Educational and Research Unit of Genetic, University of Peleforo Gon Coulibaly (UPGC), Korhogo, BP 1328, Côte d'Ivoire.ORCID http://orcid.org/0000-0002-5196-0867
Taofic AlabiFunctional and Evolutive Entomology, University of Liege, Gembloux Agro Bio-Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0003-0087-2581
Enoch G Achigan-DakoGenetics, Biotechnology, and Seed Science Unit (GBioS), Department of Plant Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, Abomey‑Calavi, 01 BP 526, Republic of Benin.ORCID http://orcid.org/0000-0002-5493-0516
Maurie-Laure FauconnierLaboratory of Chemistry of Natural Molecules, University of Liège, Gembloux Agro-Bio Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0002-2027-3896
Sabine DanthineFood Science and Formulation, University of Liège, Gembloux Agro-Bio Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0002-0008-676X
Ludivine LassoisPlant Genetics and Rhizosphere Processes Lab, University of Liege, Gembloux Agro Bio-Tech, Gembloux, 5030, Belgium.ORCID http://orcid.org/0000-0002-1789-7657

Funding

ULiege-PACODEL "Valorization / Reinforcement" Grant Valorization / ReinforcementUniversity of Liege Scientific Research mobility Grant 2019/MOB/02924
6 · The paper itself

Abstract

backgroundFat content (FC) and fatty acids (FA) are the most important traits in shea tree breeding, controlled by several genes with relatively small effects. Therefore, determining the genes involved in the biosynthesis of such traits is crucial for improving oil quantity and quality and for the domestication process of the species. To identify the quantitative trait nucleotides (QTNs) controlling FC and FA, we conducted a multi-locus genome-wide association study (GWAS) using six multi-locus GWAS methods for FC and FA in 122 superior shea trees (SSTs). SSTs were genotyped using DArTseq, resulting in 7,559 non-redundant single nucleotide polymorphism markers.

resultsFat content varied from 36 to 58% with a mean of 50%. Fatty acid composition was 51.26 ± 4.21, 38.76 ± 4.67, 6.45 ± 0.76 and 3.53 ± 0.52% for oleic, stearic, linoleic and palmitic acids, respectively. A very high negative correlation coefficient (-0.98) was found between stearic and oleic acids. A total of 47 significant QTNs associated with fat-related traits were detected by the GWAS methods. Among these QTNs, 25 were identified as common QTNs based on their detection by multiple GWAS methods. Using the superior allele information of the 4 common QTNs associated with fat content in 17 high-fat and 21 low-fat SSTs, we found a higher percentage of superior alleles in SSTs with high FC (47.1%) than in SSTs with low FC (14.3%). Pathway analysis of the common QTNs identified 24 potential candidate genes likely involved in the biosynthesis of FC and FA composition in shea tree seeds.

conclusionsThese findings will contribute to the discovery of the polygenic networks controlling FC in shea tree, improve our understanding of the genetic basis and regulation of FC, and be useful for molecular breeding of high-fat shea tree cultivars.

Indexed as

Fatty AcidsGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociFatty AcidsCandidate geneFatty acid componentsMulti-locus GWASQuantitative Trait NucleotideSingle Nucleotide PolymorphismSuperior Allele proportionVitellaria paradoxa

Identifiers

PMID39972264
PMCPMC11837308

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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.