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<p>Loss of habitat and land-use changes can alter genetic variation in tropical trees, underscoring the need for molecular information to support species conservation. <i>Trichilia emetica</i> is an indigenous multipurpose species in Kenya that is widely used in restoration programs, yet its genetic variability remains insufficiently documentedl. This study determined the genetic diversity and structure of <i>T. emetica</i> populations in western Kenya using 15 Inter-Simple Sequence Repeat (ISSR) markers. A total of 171 DNA fragments were produced, of which 94.65% were polymorphic. The overall, gene diversity was moderate (He = 0.15; I = 0.22), and diversity levels varied across populations. Relatively higher diversity was detected in Nandi (He = 0.24; %<i>P</i> = 78.31)) and Kakamega (He = 0.18; %<i>P</i> = 75.00), whereas Kisumu and Siaya showed comparatively lower estimates (He = 0.10; %<i>P</i> = 31.25%). Analysis of molecular variance (AMOVA) showed that most variation occurred within populations (65%) with moderate among population differentiation (ΦST = 0.35, <i>p</i> &lt; 0.001). Six populations were grouped into three genetic clusters. These results provide a baseline for integrating genetic information into management decisions, including prioritizing relatively diverse populations for seed sourcing and applying targeted enrichment strategies in areas showing reduced diversity.</p>

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Genetic diversity and population structure of Trichilia emetica Vahl in western Kenya using ISSR markers

  • 期刊论文

  • 发表日期：

    2025年12月24日

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  • Elias Kiprotich Sirma,
  • Benson Ouma Nyongesa,
  • Otto George Dangasuk,
  • Ken Patrick Andiego

摘要

Loss of habitat and land-use changes can alter genetic variation in tropical trees, underscoring the need for molecular information to support species conservation. Trichilia emetica is an indigenous multipurpose species in Kenya that is widely used in restoration programs, yet its genetic variability remains insufficiently documentedl. This study determined the genetic diversity and structure of T. emetica populations in western Kenya using 15 Inter-Simple Sequence Repeat (ISSR) markers. A total of 171 DNA fragments were produced, of which 94.65% were polymorphic. The overall, gene diversity was moderate (He = 0.15; I = 0.22), and diversity levels varied across populations. Relatively higher diversity was detected in Nandi (He = 0.24; %P = 78.31)) and Kakamega (He = 0.18; %P = 75.00), whereas Kisumu and Siaya showed comparatively lower estimates (He = 0.10; %P = 31.25%). Analysis of molecular variance (AMOVA) showed that most variation occurred within populations (65%) with moderate among population differentiation (ΦST = 0.35, p < 0.001). Six populations were grouped into three genetic clusters. These results provide a baseline for integrating genetic information into management decisions, including prioritizing relatively diverse populations for seed sourcing and applying targeted enrichment strategies in areas showing reduced diversity.