Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China
Morphological and AFLP-based genetic analyses of six natural populations of Rosa platyacantha in the Eastern Tianshan Mountains of Xinjiang in Northwestern China were performed. Nested analysis of variance models (ANOVA) showed that there were significant differences (P > 0.05) in morphological t...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2016-01-01
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| Series: | Horticultural Plant Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468014116000066 |
| _version_ | 1797205441232502784 |
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| author | Shuhua Yang Ning Guo Hong Ge |
| author_facet | Shuhua Yang Ning Guo Hong Ge |
| author_sort | Shuhua Yang |
| collection | DOAJ |
| description | Morphological and AFLP-based genetic analyses of six natural populations of Rosa platyacantha in the Eastern Tianshan Mountains of Xinjiang in Northwestern China were performed. Nested analysis of variance models (ANOVA) showed that there were significant differences (P > 0.05) in morphological traits among and within the populations of R. platyacantha. The phenotypic variation coefficient (CV) of the traits varied from 9.78% to 37.71%, confirming the abundant phenotypic variations in the species. The average value of the phenotypic differentiation coefficient (Vst) was 27.50%, indicating a lower phenotypic diversity among populations than within populations. Principal component analysis (PCA) showed that the two decisive traits of ANH and TAW contributed to the proportion of 97.19% in the 1st principal component (PC), suggesting that the phenotypic variations of the traits primarily originated from the achene characters. The percentages of polymorphic loci (PPL), Nei's genetic diversity index (h) and Shannon information index (I) were highly similar among populations, with average values of 63.96%, 0.2361 and 0.3506, respectively. Moreover, the gene differentiation (Gst) and estimated value of gene flow (Nm) were 8.10% and 5.6766, respectively, indicating very low genetic diversity among populations. Clustering analysis based on morphological traits and AFLP markers showed that the populations were mainly grouped with similar altitudes and geographic distances, respectively. The Mantel test revealed that there was no significant correlation between the phenotypic and genetic diversity among populations, implying a possible influence of environments on the genotypes of R. platyacantha. |
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| id | doaj.art-9422316f4c454d9292c38a09aa28a71d |
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| issn | 2468-0141 |
| language | English |
| last_indexed | 2024-04-24T08:51:10Z |
| publishDate | 2016-01-01 |
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| spelling | doaj.art-9422316f4c454d9292c38a09aa28a71d2024-04-16T11:54:11ZengKeAi Communications Co., Ltd.Horticultural Plant Journal2468-01412016-01-0121556010.1016/j.hpj.2016.02.005Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern ChinaShuhua YangNing GuoHong GeMorphological and AFLP-based genetic analyses of six natural populations of Rosa platyacantha in the Eastern Tianshan Mountains of Xinjiang in Northwestern China were performed. Nested analysis of variance models (ANOVA) showed that there were significant differences (P > 0.05) in morphological traits among and within the populations of R. platyacantha. The phenotypic variation coefficient (CV) of the traits varied from 9.78% to 37.71%, confirming the abundant phenotypic variations in the species. The average value of the phenotypic differentiation coefficient (Vst) was 27.50%, indicating a lower phenotypic diversity among populations than within populations. Principal component analysis (PCA) showed that the two decisive traits of ANH and TAW contributed to the proportion of 97.19% in the 1st principal component (PC), suggesting that the phenotypic variations of the traits primarily originated from the achene characters. The percentages of polymorphic loci (PPL), Nei's genetic diversity index (h) and Shannon information index (I) were highly similar among populations, with average values of 63.96%, 0.2361 and 0.3506, respectively. Moreover, the gene differentiation (Gst) and estimated value of gene flow (Nm) were 8.10% and 5.6766, respectively, indicating very low genetic diversity among populations. Clustering analysis based on morphological traits and AFLP markers showed that the populations were mainly grouped with similar altitudes and geographic distances, respectively. The Mantel test revealed that there was no significant correlation between the phenotypic and genetic diversity among populations, implying a possible influence of environments on the genotypes of R. platyacantha.http://www.sciencedirect.com/science/article/pii/S2468014116000066Rosa platyacanthaphenotypegenetic diversitymorphologyAFLP |
| spellingShingle | Shuhua Yang Ning Guo Hong Ge Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China Horticultural Plant Journal Rosa platyacantha phenotype genetic diversity morphology AFLP |
| title | Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China |
| title_full | Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China |
| title_fullStr | Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China |
| title_full_unstemmed | Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China |
| title_short | Morphological and AFLP-Based Genetic Diversity in Rosa platyacantha Population in Eastern Tianshan Mountains of Northwestern China |
| title_sort | morphological and aflp based genetic diversity in rosa platyacantha population in eastern tianshan mountains of northwestern china |
| topic | Rosa platyacantha phenotype genetic diversity morphology AFLP |
| url | http://www.sciencedirect.com/science/article/pii/S2468014116000066 |
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