Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles
Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal...
Ausführliche Beschreibung
Autor*in: |
Chen, Jing [verfasserIn] Wang, Mengge [verfasserIn] Duan, Shuhan [verfasserIn] Yang, Qingxin [verfasserIn] Liu, Yan [verfasserIn] Zhao, Mengyang [verfasserIn] Sun, Qiuxia [verfasserIn] Li, Xiangping [verfasserIn] Sun, Yuntao [verfasserIn] Su, Haoran [verfasserIn] Wang, Zhiyong [verfasserIn] Huang, Yuguo [verfasserIn] Zhong, Jie [verfasserIn] Feng, Yuhang [verfasserIn] Zhang, Xiaomeng [verfasserIn] He, Guanglin [verfasserIn] Yan, Jiangwei [verfasserIn] |
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Englisch |
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2024 |
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Anmerkung: |
© The Author(s) 2024 |
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Übergeordnetes Werk: |
Enthalten in: Human genomics - BioMed Central, 2003, 18(2024), 1 vom: 18. Sept. |
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Übergeordnetes Werk: |
volume:18 ; year:2024 ; number:1 ; day:18 ; month:09 |
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DOI / URN: |
10.1186/s40246-024-00672-y |
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Katalog-ID: |
SPR057357366 |
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520 | |a Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. | ||
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10.1186/s40246-024-00672-y doi (DE-627)SPR057357366 (SPR)s40246-024-00672-y-e DE-627 ger DE-627 rakwb eng 610 570 VZ Chen, Jing verfasserin aut Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. Demographic history (dpeaa)DE-He213 Genetic structure (dpeaa)DE-He213 Genetic admixture (dpeaa)DE-He213 Biological adaptation (dpeaa)DE-He213 Tujia (dpeaa)DE-He213 Wang, Mengge verfasserin aut Duan, Shuhan verfasserin aut Yang, Qingxin verfasserin aut Liu, Yan verfasserin aut Zhao, Mengyang verfasserin aut Sun, Qiuxia verfasserin aut Li, Xiangping verfasserin aut Sun, Yuntao verfasserin aut Su, Haoran verfasserin aut Wang, Zhiyong verfasserin aut Huang, Yuguo verfasserin aut Zhong, Jie verfasserin aut Feng, Yuhang verfasserin aut Zhang, Xiaomeng verfasserin aut He, Guanglin verfasserin aut Yan, Jiangwei verfasserin aut Enthalten in Human genomics BioMed Central, 2003 18(2024), 1 vom: 18. Sept. (DE-627)388549408 (DE-600)2147618-4 1479-7364 nnns volume:18 year:2024 number:1 day:18 month:09 https://dx.doi.org/10.1186/s40246-024-00672-y X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 18 09 |
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10.1186/s40246-024-00672-y doi (DE-627)SPR057357366 (SPR)s40246-024-00672-y-e DE-627 ger DE-627 rakwb eng 610 570 VZ Chen, Jing verfasserin aut Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. Demographic history (dpeaa)DE-He213 Genetic structure (dpeaa)DE-He213 Genetic admixture (dpeaa)DE-He213 Biological adaptation (dpeaa)DE-He213 Tujia (dpeaa)DE-He213 Wang, Mengge verfasserin aut Duan, Shuhan verfasserin aut Yang, Qingxin verfasserin aut Liu, Yan verfasserin aut Zhao, Mengyang verfasserin aut Sun, Qiuxia verfasserin aut Li, Xiangping verfasserin aut Sun, Yuntao verfasserin aut Su, Haoran verfasserin aut Wang, Zhiyong verfasserin aut Huang, Yuguo verfasserin aut Zhong, Jie verfasserin aut Feng, Yuhang verfasserin aut Zhang, Xiaomeng verfasserin aut He, Guanglin verfasserin aut Yan, Jiangwei verfasserin aut Enthalten in Human genomics BioMed Central, 2003 18(2024), 1 vom: 18. Sept. (DE-627)388549408 (DE-600)2147618-4 1479-7364 nnns volume:18 year:2024 number:1 day:18 month:09 https://dx.doi.org/10.1186/s40246-024-00672-y X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 18 09 |
allfields_unstemmed |
10.1186/s40246-024-00672-y doi (DE-627)SPR057357366 (SPR)s40246-024-00672-y-e DE-627 ger DE-627 rakwb eng 610 570 VZ Chen, Jing verfasserin aut Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. Demographic history (dpeaa)DE-He213 Genetic structure (dpeaa)DE-He213 Genetic admixture (dpeaa)DE-He213 Biological adaptation (dpeaa)DE-He213 Tujia (dpeaa)DE-He213 Wang, Mengge verfasserin aut Duan, Shuhan verfasserin aut Yang, Qingxin verfasserin aut Liu, Yan verfasserin aut Zhao, Mengyang verfasserin aut Sun, Qiuxia verfasserin aut Li, Xiangping verfasserin aut Sun, Yuntao verfasserin aut Su, Haoran verfasserin aut Wang, Zhiyong verfasserin aut Huang, Yuguo verfasserin aut Zhong, Jie verfasserin aut Feng, Yuhang verfasserin aut Zhang, Xiaomeng verfasserin aut He, Guanglin verfasserin aut Yan, Jiangwei verfasserin aut Enthalten in Human genomics BioMed Central, 2003 18(2024), 1 vom: 18. Sept. (DE-627)388549408 (DE-600)2147618-4 1479-7364 nnns volume:18 year:2024 number:1 day:18 month:09 https://dx.doi.org/10.1186/s40246-024-00672-y X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 18 09 |
allfieldsGer |
10.1186/s40246-024-00672-y doi (DE-627)SPR057357366 (SPR)s40246-024-00672-y-e DE-627 ger DE-627 rakwb eng 610 570 VZ Chen, Jing verfasserin aut Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. Demographic history (dpeaa)DE-He213 Genetic structure (dpeaa)DE-He213 Genetic admixture (dpeaa)DE-He213 Biological adaptation (dpeaa)DE-He213 Tujia (dpeaa)DE-He213 Wang, Mengge verfasserin aut Duan, Shuhan verfasserin aut Yang, Qingxin verfasserin aut Liu, Yan verfasserin aut Zhao, Mengyang verfasserin aut Sun, Qiuxia verfasserin aut Li, Xiangping verfasserin aut Sun, Yuntao verfasserin aut Su, Haoran verfasserin aut Wang, Zhiyong verfasserin aut Huang, Yuguo verfasserin aut Zhong, Jie verfasserin aut Feng, Yuhang verfasserin aut Zhang, Xiaomeng verfasserin aut He, Guanglin verfasserin aut Yan, Jiangwei verfasserin aut Enthalten in Human genomics BioMed Central, 2003 18(2024), 1 vom: 18. Sept. (DE-627)388549408 (DE-600)2147618-4 1479-7364 nnns volume:18 year:2024 number:1 day:18 month:09 https://dx.doi.org/10.1186/s40246-024-00672-y X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 18 09 |
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10.1186/s40246-024-00672-y doi (DE-627)SPR057357366 (SPR)s40246-024-00672-y-e DE-627 ger DE-627 rakwb eng 610 570 VZ Chen, Jing verfasserin aut Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. Demographic history (dpeaa)DE-He213 Genetic structure (dpeaa)DE-He213 Genetic admixture (dpeaa)DE-He213 Biological adaptation (dpeaa)DE-He213 Tujia (dpeaa)DE-He213 Wang, Mengge verfasserin aut Duan, Shuhan verfasserin aut Yang, Qingxin verfasserin aut Liu, Yan verfasserin aut Zhao, Mengyang verfasserin aut Sun, Qiuxia verfasserin aut Li, Xiangping verfasserin aut Sun, Yuntao verfasserin aut Su, Haoran verfasserin aut Wang, Zhiyong verfasserin aut Huang, Yuguo verfasserin aut Zhong, Jie verfasserin aut Feng, Yuhang verfasserin aut Zhang, Xiaomeng verfasserin aut He, Guanglin verfasserin aut Yan, Jiangwei verfasserin aut Enthalten in Human genomics BioMed Central, 2003 18(2024), 1 vom: 18. Sept. (DE-627)388549408 (DE-600)2147618-4 1479-7364 nnns volume:18 year:2024 number:1 day:18 month:09 https://dx.doi.org/10.1186/s40246-024-00672-y X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 18 09 |
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Chen, Jing Wang, Mengge Duan, Shuhan Yang, Qingxin Liu, Yan Zhao, Mengyang Sun, Qiuxia Li, Xiangping Sun, Yuntao Su, Haoran Wang, Zhiyong Huang, Yuguo Zhong, Jie Feng, Yuhang Zhang, Xiaomeng He, Guanglin Yan, Jiangwei |
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genetic history and biological adaptive landscape of the tujia people inferred from shared haplotypes and alleles |
title_auth |
Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles |
abstract |
Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. © The Author(s) 2024 |
abstractGer |
Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. © The Author(s) 2024 |
abstract_unstemmed |
Background High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent. Objectives This study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin. Results Population genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f3/f4 statistics confirmed the presence of ancestral links to ancient Yellow River Basin millet farmers and the BaBanQinCen-related groups. Furthermore, population-specific natural selection signatures were explored, revealing highly differentiated functional variants between the Tujia and southern indigenous populations, including genes associated with hair morphology (e.g., EDAR) and skin pigmentation (e.g., SLC24A5). Additionally, both shared and unique selection signatures were identified among ethnically diverse but geographically adjacent populations, highlighting their extensive admixture and the biological adaptations introduced by this admixture. Conclusions The study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape. © The Author(s) 2024 |
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Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles |
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Wang, Mengge Duan, Shuhan Yang, Qingxin Liu, Yan Zhao, Mengyang Sun, Qiuxia Li, Xiangping Sun, Yuntao Su, Haoran Wang, Zhiyong Huang, Yuguo Zhong, Jie Feng, Yuhang Zhang, Xiaomeng He, Guanglin Yan, Jiangwei |
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Wang, Mengge Duan, Shuhan Yang, Qingxin Liu, Yan Zhao, Mengyang Sun, Qiuxia Li, Xiangping Sun, Yuntao Su, Haoran Wang, Zhiyong Huang, Yuguo Zhong, Jie Feng, Yuhang Zhang, Xiaomeng He, Guanglin Yan, Jiangwei |
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