ArticleScientific reports2023
SSR molecular marker developments and genetic diversity analysis of Zanthoxylum nitidum (Roxb.) DC.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Integrated Phenotypic, Cytotypic, and Microsatellite Diversity Analysis of Wild-Growing/Naturalized Ber (Plants (Basel, Switzerland) · 2026Article
- The complete chloroplast genome of Amomum cinnamomeum (Zingiberaceae).Molecular biology reports · 2026Article
- Development of Chloroplast Microsatellite Markers and Assessment of Genetic Diversity and Population Structure ofCurrent issues in molecular biology · 2026Article
- Article
- Comparative Genetic Diversity and Population Structure of WildPlants (Basel, Switzerland) · 2026Article
- Genetic Diversity and Population Structure of Shanlan Upland Rice Germplasm Based on SSR Markers.Plants (Basel, Switzerland) · 2025Article
- Population Genetic Diversity and Species Distribution Evaluation ofEcology and evolution · 2025Article
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6 authors.
Funding
Abstract
Zanthoxylum nitidum (Roxb.) is a commonly used traditional Chinese medicine. However, the collection and protection of wild germplasm resources of Z. nitidum are still insufficient, and there is limited research on its genetic diversity and fingerprint. In the present study, 15 simple sequence repeat (SSR) markers were developed by genotyping based on multiplexed shotgun sequencing. The genetic diversity of 51 populations (142 individuals) of Z. nitidum was evaluated using these 15 SSRs. A total of 245 alleles (Na) were detected, with an average value of 16.333, and the average polymorphism information content was 0.756. The genetic distance among 51 populations was 0.164~1.000, with an average of 0.659. Analysis of molecular variance showed low genetic differentiation (40%) and high genetic differentiation (60%) between populations and individuals, respectively. The genetic differentiation coefficient (Fst) of the population was 0.338, indicating that 66.2% of the genetic variation occurred within the population, and the gene flow (Nm) was 0.636, demonstrating that the gene exchange between populations was low. Clustering analysis revealed that the genetic similarity coefficient was 0.30, dividing the 51 populations into 4 groups of 2, 17, 3, and 29 populations. There was no specific relationship between geographical location differences and genetic distance. The genetic diversity level of Z. nitidum is relatively high, and our results provide a theoretical basis for the rapid identification of Z. nitidum germplasm resources and variety selection.
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