Genome-wide SNP profiling reveals fine-scale population structure in Vitellaria paradoxa spp. Paradoxa across the Guineo-Sahelian eco-gradient.

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Title: Genome-wide SNP profiling reveals fine-scale population structure in Vitellaria paradoxa spp. Paradoxa across the Guineo-Sahelian eco-gradient.
Authors: Kamtche, Kevin Tchiabeu1,2,3 (AUTHOR) kevin.tchiabeu-kamtche.1@ulaval.ca, Tekeu, Honoré1,2,4 (AUTHOR), Santos, Karen Cristine Goncalves Dos5 (AUTHOR), Tientcheu, Marie-Louise Avana3 (AUTHOR), Blaney, Sonia6 (AUTHOR), Normandeau, Eric2,7 (AUTHOR), Khasa, Damase1,2 (AUTHOR)
Source: Canadian Journal of Forest Research. 6/25/2026, Vol. 56, p1-13. 13p.
Subject Terms: *Trees, *Biological adaptation, Single nucleotide polymorphisms, Population genetics, Genetic variation, Conservation genetics, Nucleotide sequencing
Geographic Terms: Africa
Abstract: Evaluating genetic diversity and population structure is important for understanding adaptation, evolution, and species conservation, especially under changing environments and disease conditions. Unfortunately, shea tree (Vitellaria paradoxa spp. paradoxa) conservation strategies in Central Africa are rarely supported by molecular genetic studies. This study applies genotyping-by-sequencing (GBS) to evaluate genetic diversity and population structure in Shea trees across three West and Central African countries, focusing on conservation implications. We generated 12 771 high-quality filtered single nucleotide polymorphism (SNP) markers in the studied population. Within-population, expected heterozygosity (He) was low in all sampled populations, ranging from 0.05 to 0.08, indicating poor genetic diversity. Moreover, He of farmland trees was closer to savannah ones. Population structure analysis revealed three main clusters aligning with geographic regions, suggesting limited gene flow and distinct adaptive responses within each of the studied populations. Additionally, the molecular variance analysis indicated that most genetic variation in these samples was distributed within the populations (74.9%). In contrast to earlier studies conducted in Cameroon using microsatellite markers, which detected no population structure, this GBS study is the first to clearly distinguish admixed groups in western and northern Cameroon. Our findings offer a concrete framework for prioritizing conservation units in domestication programs. [ABSTRACT FROM AUTHOR]
Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Genome-wide SNP profiling reveals fine-scale population structure in Vitellaria paradoxa spp. Paradoxa across the Guineo-Sahelian eco-gradient.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Forest+Research%22">Canadian Journal of Forest Research</searchLink>. 6/25/2026, Vol. 56, p1-13. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Trees%22">Trees</searchLink><br />*<searchLink fieldCode="DE" term="%22Biological+adaptation%22">Biological adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Single+nucleotide+polymorphisms%22">Single nucleotide polymorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Population+genetics%22">Population genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+variation%22">Genetic variation</searchLink><br /><searchLink fieldCode="DE" term="%22Conservation+genetics%22">Conservation genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleotide+sequencing%22">Nucleotide sequencing</searchLink>
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  Label: Abstract
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  Data: Evaluating genetic diversity and population structure is important for understanding adaptation, evolution, and species conservation, especially under changing environments and disease conditions. Unfortunately, shea tree (Vitellaria paradoxa spp. paradoxa) conservation strategies in Central Africa are rarely supported by molecular genetic studies. This study applies genotyping-by-sequencing (GBS) to evaluate genetic diversity and population structure in Shea trees across three West and Central African countries, focusing on conservation implications. We generated 12 771 high-quality filtered single nucleotide polymorphism (SNP) markers in the studied population. Within-population, expected heterozygosity (He) was low in all sampled populations, ranging from 0.05 to 0.08, indicating poor genetic diversity. Moreover, He of farmland trees was closer to savannah ones. Population structure analysis revealed three main clusters aligning with geographic regions, suggesting limited gene flow and distinct adaptive responses within each of the studied populations. Additionally, the molecular variance analysis indicated that most genetic variation in these samples was distributed within the populations (74.9%). In contrast to earlier studies conducted in Cameroon using microsatellite markers, which detected no population structure, this GBS study is the first to clearly distinguish admixed groups in western and northern Cameroon. Our findings offer a concrete framework for prioritizing conservation units in domestication programs. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1139/cjfr-2025-0150
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Trees
        Type: general
      – SubjectFull: Biological adaptation
        Type: general
      – SubjectFull: Single nucleotide polymorphisms
        Type: general
      – SubjectFull: Population genetics
        Type: general
      – SubjectFull: Genetic variation
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      – SubjectFull: Conservation genetics
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      – SubjectFull: Nucleotide sequencing
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      – SubjectFull: Africa
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      – TitleFull: Genome-wide SNP profiling reveals fine-scale population structure in Vitellaria paradoxa spp. Paradoxa across the Guineo-Sahelian eco-gradient.
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              M: 06
              Text: 6/25/2026
              Type: published
              Y: 2026
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