Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs
Abstract Y-STR genotyping can be used to predict the genetic mixed landscape of different populations effectively. In this study, 25 Y-STR loci were detected in 745 unrelated healthy males from the Bai, Bouyei, Dong, Gelao, Hui, Maonan, Mulao, Shui, Tujia, Yi and Han groups in Guizhou Province via a...
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2025-06-01
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| Online Access: | https://doi.org/10.1186/s12862-025-02400-z |
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| author | Yunyan Luo Anmin Chi Xuehong Guo Juhui Song Xiuxiu Zhang Yangting Dong Chanjuan Wang Ting Zhang Jie Deng Jinhao Ma Xueshuang Li Keren Shan Zhizhong Guan Yan He |
| author_facet | Yunyan Luo Anmin Chi Xuehong Guo Juhui Song Xiuxiu Zhang Yangting Dong Chanjuan Wang Ting Zhang Jie Deng Jinhao Ma Xueshuang Li Keren Shan Zhizhong Guan Yan He |
| author_sort | Yunyan Luo |
| collection | DOAJ |
| description | Abstract Y-STR genotyping can be used to predict the genetic mixed landscape of different populations effectively. In this study, 25 Y-STR loci were detected in 745 unrelated healthy males from the Bai, Bouyei, Dong, Gelao, Hui, Maonan, Mulao, Shui, Tujia, Yi and Han groups in Guizhou Province via a Y27Plex fluorescence detection kit. The results revealed that the kit had high gene diversity (GD: 0.0878 ~ 0.9581; HD: 0.9781 ~ 0.9987). The genetic distance ranged from 0.0172–0.3750. On the basis of PCA, phylogenetic tree and structure analysis, the same language groups tended to show closer genetic relationships among the 11 sample populations. According to the genetic relationship analysis of the 11 samples and 22 reference populations, the genetic relationships of Guizhou Han and Guangxi Gin were the closest (0.018), whereas those of the Tujia and She nationalities were the farthest in Guizhou (0.4483). Additionally, Guizhou Tujia, Guizhou Hui, Xinjiang Mongolians, Yunnan Lahu, Kazakh Uzbekistan and Kazakhstan were clustered together. This study provides a reference for the genetic structure and genetic differentiation of 11 indigenous populations in Guizhou Province and provides useful paternal information for population genetics, archaeology and historical research. |
| format | Article |
| id | doaj-art-8798c40cd52f427d9658a400e1a44ce7 |
| institution | Kabale University |
| issn | 2730-7182 |
| language | English |
| publishDate | 2025-06-01 |
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| series | BMC Ecology and Evolution |
| spelling | doaj-art-8798c40cd52f427d9658a400e1a44ce72025-08-20T03:45:11ZengBMCBMC Ecology and Evolution2730-71822025-06-012511910.1186/s12862-025-02400-zGenetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRsYunyan Luo0Anmin Chi1Xuehong Guo2Juhui Song3Xiuxiu Zhang4Yangting Dong5Chanjuan Wang6Ting Zhang7Jie Deng8Jinhao Ma9Xueshuang Li10Keren Shan11Zhizhong Guan12Yan He13Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical UniversityAbstract Y-STR genotyping can be used to predict the genetic mixed landscape of different populations effectively. In this study, 25 Y-STR loci were detected in 745 unrelated healthy males from the Bai, Bouyei, Dong, Gelao, Hui, Maonan, Mulao, Shui, Tujia, Yi and Han groups in Guizhou Province via a Y27Plex fluorescence detection kit. The results revealed that the kit had high gene diversity (GD: 0.0878 ~ 0.9581; HD: 0.9781 ~ 0.9987). The genetic distance ranged from 0.0172–0.3750. On the basis of PCA, phylogenetic tree and structure analysis, the same language groups tended to show closer genetic relationships among the 11 sample populations. According to the genetic relationship analysis of the 11 samples and 22 reference populations, the genetic relationships of Guizhou Han and Guangxi Gin were the closest (0.018), whereas those of the Tujia and She nationalities were the farthest in Guizhou (0.4483). Additionally, Guizhou Tujia, Guizhou Hui, Xinjiang Mongolians, Yunnan Lahu, Kazakh Uzbekistan and Kazakhstan were clustered together. This study provides a reference for the genetic structure and genetic differentiation of 11 indigenous populations in Guizhou Province and provides useful paternal information for population genetics, archaeology and historical research.https://doi.org/10.1186/s12862-025-02400-zY-STRsGuizhou inhabited populationsGenetic polymorphism |
| spellingShingle | Yunyan Luo Anmin Chi Xuehong Guo Juhui Song Xiuxiu Zhang Yangting Dong Chanjuan Wang Ting Zhang Jie Deng Jinhao Ma Xueshuang Li Keren Shan Zhizhong Guan Yan He Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs BMC Ecology and Evolution Y-STRs Guizhou inhabited populations Genetic polymorphism |
| title | Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs |
| title_full | Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs |
| title_fullStr | Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs |
| title_full_unstemmed | Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs |
| title_short | Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs |
| title_sort | genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting southwest china according to the analysis of 25 y strs |
| topic | Y-STRs Guizhou inhabited populations Genetic polymorphism |
| url | https://doi.org/10.1186/s12862-025-02400-z |
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