Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
Abstract Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These mark...
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| Format: | Article |
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Nature Portfolio
2023-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-37993-2 |
| _version_ | 1797778886551928832 |
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| author | Xinxin Wang Li Wang Yongqiang Sun Jianhua Chen Quangang Liu Shengjun Dong |
| author_facet | Xinxin Wang Li Wang Yongqiang Sun Jianhua Chen Quangang Liu Shengjun Dong |
| author_sort | Xinxin Wang |
| collection | DOAJ |
| description | Abstract Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These markers generated 194 alleles in total. The mean number of alleles (13.8571) was higher than the mean number of effective alleles (6.4822). The average expected heterozygosity (0.8292) was higher than the average observed heterozygosity (0.3178). Shannon information index and polymorphism information content were separately 2.0610 and 0.8093, demonstrating the rich genetic diversity of P. sibirica. Analysis of molecular variance revealed that 85% of the genetic variation occurred within populations, with only 15% among them. The genetic differentiation coefficient and gene flow were separately 0.151 and 1.401, indicating a high degree of genetic differentiation. Clustering results showed that a genetic distance coefficient of 0.6 divided the 10 natural populations into two subgroups (subgroups A and B). STRUCTURE and principal coordinate analysis divided the 176 individuals into two subgroups (clusters 1 and 2). Mantel tests revealed that genetic distance was correlated with geographical distance and elevation differences. These findings can contribute to the effective conservation and management of P. sibirica resources. |
| first_indexed | 2024-03-12T23:23:59Z |
| format | Article |
| id | doaj.art-2475abc361a84409bd5bab9a0250ed61 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-12T23:23:59Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-2475abc361a84409bd5bab9a0250ed612023-07-16T11:15:33ZengNature PortfolioScientific Reports2045-23222023-07-0113111010.1038/s41598-023-37993-2Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markersXinxin Wang0Li Wang1Yongqiang Sun2Jianhua Chen3Quangang Liu4Shengjun Dong5College of Forestry, Shenyang Agricultural UniversityCollege of Forestry, Shenyang Agricultural UniversityCollege of Forestry, Shenyang Agricultural UniversityCollege of Forestry, Shenyang Agricultural UniversityCollege of Forestry, Shenyang Agricultural UniversityCollege of Forestry, Shenyang Agricultural UniversityAbstract Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These markers generated 194 alleles in total. The mean number of alleles (13.8571) was higher than the mean number of effective alleles (6.4822). The average expected heterozygosity (0.8292) was higher than the average observed heterozygosity (0.3178). Shannon information index and polymorphism information content were separately 2.0610 and 0.8093, demonstrating the rich genetic diversity of P. sibirica. Analysis of molecular variance revealed that 85% of the genetic variation occurred within populations, with only 15% among them. The genetic differentiation coefficient and gene flow were separately 0.151 and 1.401, indicating a high degree of genetic differentiation. Clustering results showed that a genetic distance coefficient of 0.6 divided the 10 natural populations into two subgroups (subgroups A and B). STRUCTURE and principal coordinate analysis divided the 176 individuals into two subgroups (clusters 1 and 2). Mantel tests revealed that genetic distance was correlated with geographical distance and elevation differences. These findings can contribute to the effective conservation and management of P. sibirica resources.https://doi.org/10.1038/s41598-023-37993-2 |
| spellingShingle | Xinxin Wang Li Wang Yongqiang Sun Jianhua Chen Quangang Liu Shengjun Dong Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers Scientific Reports |
| title | Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers |
| title_full | Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers |
| title_fullStr | Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers |
| title_full_unstemmed | Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers |
| title_short | Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers |
| title_sort | genetic diversity and conservation of siberian apricot prunus sibirica l based on microsatellite markers |
| url | https://doi.org/10.1038/s41598-023-37993-2 |
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