Genome-wide allele and haplotype-sharing patterns suggested one unique Hmong–Mein-related lineage and biological adaptation history in Southwest China Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1186/s40246-023-00452-0
Background Fine-scale genetic structure of ethnolinguistically diverse Chinese populations can fill the gap in the missing diversity and evolutionary landscape of East Asians, particularly for anthropologically informed Chinese minorities. Hmong–Mien (HM) people were one of the most significant indigenous populations in South China and Southeast Asia, which were suggested to be the descendants of the ancient Yangtze rice farmers based on linguistic and archeological evidence. However, their deep population history and biological adaptative features remained to be fully characterized. Objectives To explore the evolutionary and adaptive characteristics of the Miao people, we genotyped genome-wide SNP data in Guizhou HM-speaking populations and merged it with modern and ancient reference populations via a comprehensive population genetic analysis and evolutionary admixture modeling. Results The overall genetic admixture landscape of Guizhou Miao showed genetic differentiation between them and other linguistically diverse Guizhou populations. Admixture models further confirmed that Miao people derived their primary ancestry from geographically close Guangxi Gaohuahua people. The estimated identity by descent and effective population size confirmed a plausible population bottleneck, contributing to their unique genetic diversity and population structure patterns. We finally identified several natural selection candidate genes associated with several biological pathways. Conclusions Guizhou Miao possessed a specific genetic structure and harbored a close genetic relationship with geographically close southern Chinese indigenous populations and Guangxi historical people. Miao people derived their major ancestry from geographically close Guangxi Gaohuahua people and experienced a plausible population bottleneck which contributed to the unique pattern of their genetic diversity and structure. Future ancient DNA from Shijiahe and Qujialing will provide new insights into the origin of the Miao people.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s40246-023-00452-0
- OA Status
- gold
- Cited By
- 23
- References
- 86
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318617576
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318617576Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s40246-023-00452-0Digital Object Identifier
- Title
-
Genome-wide allele and haplotype-sharing patterns suggested one unique Hmong–Mein-related lineage and biological adaptation history in Southwest ChinaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-31Full publication date if available
- Authors
-
Guanglin He, Jiawen Wang, Lin Yang, Shuhan Duan, Qiuxia Sun, Youjing Li, Jun Wu, Wenxin Wu, Zheng Wang, Yan Liu, Renkuan Tang, Junbao Yang, Chao-Lien Liu, Buhong Yuan, Daoyong Wang, Jianwei Xu, Mengge WangList of authors in order
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https://doi.org/10.1186/s40246-023-00452-0Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1186/s40246-023-00452-0Direct OA link when available
- Concepts
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Population bottleneck, Genetic diversity, Biology, Population, Evolutionary biology, Indigenous, Genetic structure, Lineage (genetic), Haplotype, Founder effect, Gene pool, Allele, Geography, Genetics, Demography, Ecology, Microsatellite, Gene, SociologyTop concepts (fields/topics) attached by OpenAlex
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23Total citation count in OpenAlex
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2025: 3, 2024: 13, 2023: 7Per-year citation counts (last 5 years)
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86Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.We | 181 |
| abstract_inverted_index.be | 51, 77 |
| abstract_inverted_index.by | 160 |
| abstract_inverted_index.in | 14, 41, 97 |
| abstract_inverted_index.it | 103 |
| abstract_inverted_index.of | 5, 21, 35, 54, 88, 126, 243, 263 |
| abstract_inverted_index.on | 61 |
| abstract_inverted_index.to | 50, 76, 172, 239 |
| abstract_inverted_index.we | 92 |
| abstract_inverted_index.DNA | 251 |
| abstract_inverted_index.SNP | 95 |
| abstract_inverted_index.The | 121, 157 |
| abstract_inverted_index.and | 18, 44, 63, 71, 85, 101, 106, 116, 134, 162, 177, 202, 215, 231, 247, 254 |
| abstract_inverted_index.can | 10 |
| abstract_inverted_index.for | 25 |
| abstract_inverted_index.gap | 13 |
| abstract_inverted_index.new | 258 |
| abstract_inverted_index.one | 34 |
| abstract_inverted_index.the | 12, 15, 36, 52, 55, 83, 89, 240, 261, 264 |
| abstract_inverted_index.via | 110 |
| abstract_inverted_index.(HM) | 31 |
| abstract_inverted_index.East | 22 |
| abstract_inverted_index.Miao | 90, 128, 145, 196, 219, 265 |
| abstract_inverted_index.data | 96 |
| abstract_inverted_index.deep | 68 |
| abstract_inverted_index.fill | 11 |
| abstract_inverted_index.from | 151, 225, 252 |
| abstract_inverted_index.into | 260 |
| abstract_inverted_index.most | 37 |
| abstract_inverted_index.rice | 58 |
| abstract_inverted_index.size | 165 |
| abstract_inverted_index.that | 144 |
| abstract_inverted_index.them | 133 |
| abstract_inverted_index.were | 33, 48 |
| abstract_inverted_index.will | 256 |
| abstract_inverted_index.with | 104, 190, 208 |
| abstract_inverted_index.Asia, | 46 |
| abstract_inverted_index.China | 43 |
| abstract_inverted_index.South | 42 |
| abstract_inverted_index.based | 60 |
| abstract_inverted_index.close | 153, 205, 210, 227 |
| abstract_inverted_index.fully | 78 |
| abstract_inverted_index.genes | 188 |
| abstract_inverted_index.major | 223 |
| abstract_inverted_index.other | 135 |
| abstract_inverted_index.their | 67, 148, 173, 222, 244 |
| abstract_inverted_index.which | 47, 237 |
| abstract_inverted_index.Future | 249 |
| abstract_inverted_index.merged | 102 |
| abstract_inverted_index.models | 141 |
| abstract_inverted_index.modern | 105 |
| abstract_inverted_index.origin | 262 |
| abstract_inverted_index.people | 32, 146, 220, 230 |
| abstract_inverted_index.showed | 129 |
| abstract_inverted_index.unique | 174, 241 |
| abstract_inverted_index.Asians, | 23 |
| abstract_inverted_index.Chinese | 8, 28, 212 |
| abstract_inverted_index.Guangxi | 154, 216, 228 |
| abstract_inverted_index.Guizhou | 98, 127, 138, 195 |
| abstract_inverted_index.Results | 120 |
| abstract_inverted_index.Yangtze | 57 |
| abstract_inverted_index.ancient | 56, 107, 250 |
| abstract_inverted_index.between | 132 |
| abstract_inverted_index.derived | 147, 221 |
| abstract_inverted_index.descent | 161 |
| abstract_inverted_index.diverse | 7, 137 |
| abstract_inverted_index.explore | 82 |
| abstract_inverted_index.farmers | 59 |
| abstract_inverted_index.finally | 182 |
| abstract_inverted_index.further | 142 |
| abstract_inverted_index.genetic | 3, 114, 123, 130, 175, 200, 206, 245 |
| abstract_inverted_index.history | 70 |
| abstract_inverted_index.missing | 16 |
| abstract_inverted_index.natural | 185 |
| abstract_inverted_index.overall | 122 |
| abstract_inverted_index.pattern | 242 |
| abstract_inverted_index.people, | 91 |
| abstract_inverted_index.people. | 156, 218, 266 |
| abstract_inverted_index.primary | 149 |
| abstract_inverted_index.provide | 257 |
| abstract_inverted_index.several | 184, 191 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 66 |
| abstract_inverted_index.Shijiahe | 253 |
| abstract_inverted_index.adaptive | 86 |
| abstract_inverted_index.analysis | 115 |
| abstract_inverted_index.ancestry | 150, 224 |
| abstract_inverted_index.features | 74 |
| abstract_inverted_index.harbored | 203 |
| abstract_inverted_index.identity | 159 |
| abstract_inverted_index.informed | 27 |
| abstract_inverted_index.insights | 259 |
| abstract_inverted_index.remained | 75 |
| abstract_inverted_index.southern | 211 |
| abstract_inverted_index.specific | 199 |
| abstract_inverted_index.Admixture | 140 |
| abstract_inverted_index.Gaohuahua | 155, 229 |
| abstract_inverted_index.Qujialing | 255 |
| abstract_inverted_index.Southeast | 45 |
| abstract_inverted_index.admixture | 118, 124 |
| abstract_inverted_index.candidate | 187 |
| abstract_inverted_index.confirmed | 143, 166 |
| abstract_inverted_index.diversity | 17, 176, 246 |
| abstract_inverted_index.effective | 163 |
| abstract_inverted_index.estimated | 158 |
| abstract_inverted_index.evidence. | 65 |
| abstract_inverted_index.genotyped | 93 |
| abstract_inverted_index.landscape | 20, 125 |
| abstract_inverted_index.modeling. | 119 |
| abstract_inverted_index.pathways. | 193 |
| abstract_inverted_index.patterns. | 180 |
| abstract_inverted_index.plausible | 168, 234 |
| abstract_inverted_index.possessed | 197 |
| abstract_inverted_index.reference | 108 |
| abstract_inverted_index.selection | 186 |
| abstract_inverted_index.structure | 4, 179, 201 |
| abstract_inverted_index.suggested | 49 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Fine-scale | 2 |
| abstract_inverted_index.Objectives | 80 |
| abstract_inverted_index.adaptative | 73 |
| abstract_inverted_index.associated | 189 |
| abstract_inverted_index.biological | 72, 192 |
| abstract_inverted_index.bottleneck | 236 |
| abstract_inverted_index.historical | 217 |
| abstract_inverted_index.identified | 183 |
| abstract_inverted_index.indigenous | 39, 213 |
| abstract_inverted_index.linguistic | 62 |
| abstract_inverted_index.population | 69, 113, 164, 169, 178, 235 |
| abstract_inverted_index.structure. | 248 |
| abstract_inverted_index.Conclusions | 194 |
| abstract_inverted_index.HM-speaking | 99 |
| abstract_inverted_index.bottleneck, | 170 |
| abstract_inverted_index.contributed | 238 |
| abstract_inverted_index.descendants | 53 |
| abstract_inverted_index.experienced | 232 |
| abstract_inverted_index.genome-wide | 94 |
| abstract_inverted_index.minorities. | 29 |
| abstract_inverted_index.populations | 9, 40, 100, 109, 214 |
| abstract_inverted_index.significant | 38 |
| abstract_inverted_index.Hmong–Mien | 30 |
| abstract_inverted_index.contributing | 171 |
| abstract_inverted_index.evolutionary | 19, 84, 117 |
| abstract_inverted_index.particularly | 24 |
| abstract_inverted_index.populations. | 139 |
| abstract_inverted_index.relationship | 207 |
| abstract_inverted_index.archeological | 64 |
| abstract_inverted_index.comprehensive | 112 |
| abstract_inverted_index.characterized. | 79 |
| abstract_inverted_index.geographically | 152, 209, 226 |
| abstract_inverted_index.linguistically | 136 |
| abstract_inverted_index.characteristics | 87 |
| abstract_inverted_index.differentiation | 131 |
| abstract_inverted_index.anthropologically | 26 |
| abstract_inverted_index.ethnolinguistically | 6 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5064683900 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 17 |
| corresponding_institution_ids | https://openalex.org/I149137203 |
| citation_normalized_percentile.value | 0.98502978 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |