Unveiling the Genetic Diversity and Demographic History of Coffea stenophylla in Sierra Leone Using Genotyping-By-Sequencing

<i>Coffea stenophylla</i> is a rare Coffea species boasting a flavor profile comparable to Arabica coffee (<i>Coffea arabica</i>) and has a good adaptability to lowland tropical climates. This species faces increasing threats from climate change, deforestation, and habitat fragmentation in its West African homeland. Using 1037 novel SNP markers derived from Genotyping-by-Sequencing (GBS), we revealed the presence of three distinct natural populations (mean Fst = 0.176) in Sierra Leone. Evidence of recent bottlenecks and small effective population size (118-140) was found across all three populations, reflecting the impact of recent anthropogenic disturbances on this species. Using a model-flexible inference approach, we unveiled a strong ancient bottleneck approximately 23,000 years ago, coinciding with the last glacial maximum (LGM), followed by post-glacial expansion and divergence into distinct genetic clusters. A comparative analysis between ex situ genebanks and natural populations detected a significant gap in genetic diversity, with two out of three natural populations missing from the ex situ genebank collection. These findings highlight the urgent need to improve conservation practices for <i>C. stenophylla</i> in Sierra Leone. The novel SNP markers developed in this study provided valuable tools to support future efforts in conservation and utilization of <i>C. stenophylla</i> genetic resources in West Africa.

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Publication Details

Journal
Plants
Published
2024-12-27
DOI
https://doi.org/10.3390/plants14010050
Citations
5
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
2.24

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article

Unveiling the Genetic Diversity and Demographic History of Coffea stenophylla in Sierra Leone Using Genotyping-By-Sequencing

Lyndel W. Meinhardt, Ezekiel Ahn, Alieu Mohamed Bah, Sookkyung Lim et al.
5 citations
Plants
Coffee research and impacts
2.24
article

Unveiling the Genetic Diversity and Demographic History of Coffea stenophylla in Sierra Leone Using Genotyping-By-Sequencing

Lyndel W. Meinhardt, Ezekiel Ahn, Alieu Mohamed Bah, Sookkyung Lim, Peter O. Aikpokpodion, Paul Musa Lahai, Sunchung Park, M. T. Lahai, Dapeng Zhang
article en
5 citations

Abstract

<i>Coffea stenophylla</i> is a rare Coffea species boasting a flavor profile comparable to Arabica coffee (<i>Coffea arabica</i>) and has a good adaptability to lowland tropical climates. This species faces increasing threats from climate change, deforestation, and habitat fragmentation in its West African homeland. Using 1037 novel SNP markers derived from Genotyping-by-Sequencing (GBS), we revealed the presence of three distinct natural populations (mean Fst = 0.176) in Sierra Leone. Evidence of recent bottlenecks and small effective population size (118-140) was found across all three populations, reflecting the impact of recent anthropogenic disturbances on this species. Using a model-flexible inference approach, we unveiled a strong ancient bottleneck approximately 23,000 years ago, coinciding with the last glacial maximum (LGM), followed by post-glacial expansion and divergence into distinct genetic clusters. A comparative analysis between ex situ genebanks and natural populations detected a significant gap in genetic diversity, with two out of three natural populations missing from the ex situ genebank collection. These findings highlight the urgent need to improve conservation practices for <i>C. stenophylla</i> in Sierra Leone. The novel SNP markers developed in this study provided valuable tools to support future efforts in conservation and utilization of <i>C. stenophylla</i> genetic resources in West Africa.

PlantsVol. 14(1)
United States Department of Agriculture (US), University of Sierra Leone (SL), Njala University (SL), University of Calabar (NG), Sierra Leone Agricultural Research Institute (SL)
U.S. Department of Agriculture, Agricultural Research Service
Life in Land
Openalex Percentile: Top 12%
Coffee research and impacts
2.24
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