Evidence map›Paper›PMID 40906707›Full record

ArticlePloS one2025

SNP markers revealed the genetic diversity and population structure of Mesosphaerum suaveolens (L.) Kuntze Syn. Hyptis suaveolens (L.) Poit accessions collected in Benin.

Armel Frida Dossa, Dèdéou A Tchokponhoué, Aristide Carlos Houdegbe, Enoch G Achigan-Dako

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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 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Diversity Analysis of Global White Clover (International journal of molecular sciences · 2026
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4 · The record

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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

4 authors.

Armel Frida DossaGenetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Plant Production, Physiology and Plant Breeding (PAGEV), School of Plant Sciences, University of Abomey-Calavi, Abomey-Calavi, Republic of Benin.ORCID https://orcid.org/0009-0003-9418-9464
Dèdéou A TchokponhouéGenetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Plant Production, Physiology and Plant Breeding (PAGEV), School of Plant Sciences, University of Abomey-Calavi, Abomey-Calavi, Republic of Benin.ORCID https://orcid.org/0000-0002-1285-245X
Aristide Carlos HoudegbeGenetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Plant Production, Physiology and Plant Breeding (PAGEV), School of Plant Sciences, University of Abomey-Calavi, Abomey-Calavi, Republic of Benin.ORCID https://orcid.org/0000-0003-3774-5658
Enoch G Achigan-DakoGenetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Plant Production, Physiology and Plant Breeding (PAGEV), School of Plant Sciences, University of Abomey-Calavi, Abomey-Calavi, Republic of Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesosphaerum suaveolens (L.) Kuntze is a wild species with many biological activities in medicine. The species can potentially serve as a pesticide in agriculture thanks to its high content of volatile compounds. However, knowledge of the species' genetic diversity and population structure is currently scarce, thus hindering improvement and conservation initiatives. This research used single nucleotide polymorphism (SNP) genotyping to study the diversity and population structure of 175 Mesosphaerum suaveolens collected from the three phytogeographical zones of Benin. Our study reports 3,613 high-quality SNP markers for M. suaveolens. Based on the markers, a mean polymorphism information content of 0.28, a low expected heterozygosity (He = 0.287) coupled with low genetic differentiation (Fst = 0.007) were observed in the species. The overall average value of observed heterozygosity (Ho) was 0.11. The Neighbor-joining analysis identified three subpopulations, whereas two mixed subpopulations were detected via population structure analysis. The results of the molecular variance analysis revealed that differences among samples within populations accounted for the majority of genetic variation (59.3%). The population from the Sudanian region presented the highest genetic diversity (He = 0.293), whereas the Guineo-congolian population presented the lowest genetic diversity (Ho = 0.278). These results pave the way for informed conservation in M. suaveolens and highlight the need to expand the genetic base of this species for upcoming improvement initiatives. However, reference genome and genome-wide association studies (GWAS) to associate genomic and morphological or chemical constituents are needed.

Indexed as

Genetic VariationPolymorphism, Single NucleotideBeninGenetic MarkersGenetics, PopulationGenotypePhylogenyGenetic Markers

Identifiers

PMID40906707
PMCPMC12410747

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