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He Y, Zhang X, Peng MS, Li YC, Liu K, Zhang Y, Mao L, Guo Y, Ma Y, Zhou B, Zheng W, Yue T, Liao Y, Liang SA, Chen L, Zhang W, Chen X, Tang B, Yang X, Ye K, Gao S, Lu Y, Wang Y, Wan S, Hao R, Wang X, Mao Y, Dai S, Gao Z, Yang LQ, Guo J, Li J, Liu C, Wang J, Sovannary T, Bunnath L, Kampuansai J, Inta A, Srikummool M, Kutanan W, Ho HQ, Pham KD, Singthong S, Sochampa S, Kyaing UW, Pongamornkul W, Morlaeku C, Rattanakrajangsri K, Kong QP, Zhang YP, Su B. Genome diversity and signatures of natural selection in mainland Southeast Asia. Nature 2025:10.1038/s41586-025-08998-w. [PMID: 40369069 DOI: 10.1038/s41586-025-08998-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 04/09/2025] [Indexed: 05/16/2025]
Abstract
Mainland Southeast Asia (MSEA) has rich ethnic and cultural diversity with a population of nearly 300 million1,2. However, people from MSEA are underrepresented in the current human genomic databases. Here we present the SEA3K genome dataset (phase I), generated by deep short-read whole-genome sequencing of 3,023 individuals from 30 MSEA populations, and long-read whole-genome sequencing of 37 representative individuals. We identified 79.59 million small variants and 96,384 structural variants, among which 22.83 million small variants and 24,622 structural variants are unique to this dataset. We observed a high genetic heterogeneity across MSEA populations, reflected by the varied combinations of genetic components. We identified 44 genomic regions with strong signatures of Darwinian positive selection, covering 89 genes involved in varied physiological systems such as physical traits and immune response. Furthermore, we observed varied patterns of archaic Denisovan introgression in MSEA populations, supporting the proposal of at least two distinct instances of Denisovan admixture into modern humans in Asia3. We also detected genomic regions that suggest adaptive archaic introgressions in MSEA populations. The large number of novel genomic variants in MSEA populations highlight the necessity of studying regional populations that can help answer key questions related to prehistory, genetic adaptation and complex diseases.
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Affiliation(s)
- Yaoxi He
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yu-Chun Li
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Kai Liu
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yu Zhang
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Leyan Mao
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yongbo Guo
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yujie Ma
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bin Zhou
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wangshan Zheng
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Tian Yue
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yuwen Liao
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shen-Ao Liang
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, School of Life Science, Fudan University, Shanghai, China
| | - Lu Chen
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, School of Life Science, Fudan University, Shanghai, China
| | - Weijie Zhang
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoning Chen
- National Genomics Data Center, China National Center for Bioinformation, Beijing, China
| | - Bixia Tang
- National Genomics Data Center, China National Center for Bioinformation, Beijing, China
| | - Xiaofei Yang
- School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- Center for Mathematical Medical, the First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Kai Ye
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- Center for Mathematical Medical, the First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- Genome Institute, the First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
- Faculty of Science, Leiden University, Leiden, The Netherlands
| | - Shenghan Gao
- School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Yurun Lu
- CEMS, NCMIS, HCMS, MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Yong Wang
- CEMS, NCMIS, HCMS, MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Shijie Wan
- School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Rushan Hao
- School of Medicine, Yunnan University, Kunming, China
| | - Xuankai Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
| | - Shanshan Dai
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zongliang Gao
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Jianxin Guo
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jiangguo Li
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chao Liu
- Laboratory Animal Center, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming, China
- National Resource Center for Non-Human Primates, Kunming, China
| | - Jianhua Wang
- Department of Anthropology, School of Sociology, Yunnan Minzu University, Kunming, China
| | - Tuot Sovannary
- Department of Geography and Land Management, Royal University of Phnom Penh, Phnom Penh, Cambodia
| | - Long Bunnath
- Department of Geography and Land Management, Royal University of Phnom Penh, Phnom Penh, Cambodia
| | - Jatupol Kampuansai
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Angkhana Inta
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Metawee Srikummool
- Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand
| | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand
| | - Huy Quang Ho
- Department of Immunology, Ha Noi Medical University, Ha Noi, Vietnam
| | - Khoa Dang Pham
- Department of Immunology, Ha Noi Medical University, Ha Noi, Vietnam
| | | | | | - U Win Kyaing
- Field School of Archaeology, Paukkhaung, Myanmar
| | - Wittaya Pongamornkul
- Queen Sirikit Botanic Garden (QSBG), The Botanical Garden Organization, Chiang Mai, Thailand
| | - Chutima Morlaeku
- Inter Mountain Peoples Education and Culture in Thailand Association (IMPECT), Sansai, Thailand
| | | | - Qing-Peng Kong
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China.
- Kunming Key Laboratory of Healthy Aging Study, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China.
- University of Chinese Academy of Sciences, Beijing, China.
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China.
| | - Bing Su
- State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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2
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Liu H, Zhu B, Wang T, Dong Y, Ju Y, Li Y, Su W, Zhang R, Dong S, Wang H, Zhou Y, Zhu Y, Wang L, Zhang Z, Zhao P, Zhang S, Guo R, A E, Zhang Y, Liu X, Tamate HB, Liang Q, Ma D, Xing X. Population genomics of sika deer reveals recent speciation and genetic selective signatures during evolution and domestication. BMC Genomics 2025; 26:364. [PMID: 40217144 PMCID: PMC11987376 DOI: 10.1186/s12864-025-11541-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 03/28/2025] [Indexed: 04/15/2025] Open
Abstract
BACKGROUND Population genomic analysis can reconstruct the phylogenetic relationship and demographic history, and identify genomic selective signatures of a species. To date, fundamental aspects of population genomic analyses, such as intraspecies taxonomy, evolutionary history, and adaptive evolution, of sika deer have not been systematically investigated. Furthermore, accumulating lines of evidences have illustrated that incorrect species delimitation will mislead conservation decisions, and even lead to irreversible mistakes in threatened species. RESULTS In this study, we resequenced 81 wild and 71 domesticated sika deer representing 10 main geographic populations and two farms to clarify the species delimitation, demographic and divergence histories, and adaptive evolution of this species. First, our analyses of whole genomes, Y chromosomes and mitochondrial genomes revealed substantial genetic differentiation between the continental and Japanese lineages of sika deer, representing two phylogenetically distinct species. Second, sika deer in Japan were inferred to have experienced a "divergence-mixing-isolation" evolutionary scenario. Third, we identified four candidate genes (XKR4, NPAS3, CTNNA3, and CNTNAP5) possibly involved in body size regulation of sika deer by selective sweep analysis. Furthermore, we also detected two candidate genes (NRP2 and EDIL3) that may be associated with an important economic trait (antler weight) were under selection during the process of domestication. CONCLUSION Population genomic analyses revealed that the continental and Japanese lineages represent distinct phylogenetic species. Moreover, our results provide insights into the genetic selection signatures related to body size differences and a valuable genomic resource for future genetic studies and genomics-informed breeding of sika deer.
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Affiliation(s)
- Huamiao Liu
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Bo Zhu
- Novogene Bioinformatics Institute, Beijing, 100083, China
| | - Tianjiao Wang
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yimeng Dong
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yan Ju
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yang Li
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Weilin Su
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Ranran Zhang
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Shiwu Dong
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Hongliang Wang
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yongna Zhou
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yanmin Zhu
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Lei Wang
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zhengyi Zhang
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Pei Zhao
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Shuyan Zhang
- Administration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou, 310000, China
| | - Rui Guo
- Administration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou, 310000, China
| | - E A
- Sichuan Tiebu Sika Deer Nature Reserve, Aba, 624000, China
| | - Yuwen Zhang
- Administrative Office of Liugong Island National Forest Park, Weihai, 264200, China
| | - Xin Liu
- Northeast Forestry University, Harbin, 150006, China
| | | | - Qiqi Liang
- Glbizzia Bioinformatics Institute, Beijing, 102208, China.
| | - De Ma
- Novogene Bioinformatics Institute, Beijing, 100083, China.
| | - Xiumei Xing
- State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
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3
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Romero-Hidalgo S, Sagaceta-Mejía J, Villalobos-Comparán M, Tejero ME, Domínguez-Pérez M, Jacobo-Albavera L, Posadas-Sánchez R, Vargas-Alarcón G, Posadas-Romero C, Macías-Kauffer L, Vadillo-Ortega F, Contreras-Sieck MA, Acuña-Alonzo V, Barquera R, Macín G, Binia A, Guevara-Chávez JG, Sebastián-Medina L, Menjívar M, Canizales-Quinteros S, Carnevale A, Villarreal-Molina T. Selection scan in Native Americans of Mexico identifies FADS2 rs174616: Evidence of gene-diet interactions affecting lipid levels and Delta-6-desaturase activity. Heliyon 2024; 10:e35477. [PMID: 39166092 PMCID: PMC11334880 DOI: 10.1016/j.heliyon.2024.e35477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Accepted: 07/29/2024] [Indexed: 08/22/2024] Open
Abstract
Searching for positive selection signals across genomes has identified functional genetic variants responding to environmental change. In Native Americans of Mexico, we used the fixation index (Fst) and population branch statistic (PBS) to identify SNPs suggesting positive selection. The 103 most differentiated SNPs were tested for associations with metabolic traits, the most significant association was FADS2/rs174616 with body mass index (BMI). This variant lies within a linkage disequilibrium (LD) block independent of previously reported FADS selection signals and has not been clearly associated with metabolic phenotypes. We tested this variant in two independent cohorts with cardiometabolic data. In the Genetics of Atherosclerotic Disease (GEA) cohort, the derived allele (T) was associated with increased BMI, lower LDL-C levels and a decreased risk of subclinical atherosclerosis in women. Significant gene-diet interactions affected lipid, apolipoprotein and adiponectin levels with differences according to sex, involving mainly total and complex dietary carbohydrate%. In the Genotype-related Effects of PUFA trial, the derived allele was associated with lower Δ-6 desaturase activity and erythrocyte membrane dihomo-gamma-linolenic acid (DGLA) levels, and with increased Δ-5 desaturase activity and eicosapentaenoic acid levels. This variant interacted with dietary carbohydrate% affecting Δ-6 desaturase activity. Notably, the relationship of DGLA and other erythrocyte membrane LC-PUFA indices with HOMA-IR differed according to rs174616 genotype, which has implications regarding how these indices should be interpreted. In conclusion, this observational study identified rs174616 as a signal suggesting selection in an independent linkage disequilibrium block, was associated with cardiometabolic and erythrocyte measurements of LC-PUFA in two independent Mexican cohorts and showed significant gene-diet interactions.
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Affiliation(s)
- Sandra Romero-Hidalgo
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Janine Sagaceta-Mejía
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | - María Elizabeth Tejero
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Mayra Domínguez-Pérez
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Leonor Jacobo-Albavera
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Rosalinda Posadas-Sánchez
- Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
| | - Gilberto Vargas-Alarcón
- Departmento de Biología Molecular y Dirección de Investigación, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Carlos Posadas-Romero
- Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Felipe Vadillo-Ortega
- Unidad de Vinculación de la Facultad de Medicina UNAM en el Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | - Víctor Acuña-Alonzo
- Laboratorio de Genética Molecular, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Anthropology (MPI-EVA), Leipzig, Germany
| | - Gastón Macín
- Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Aristea Binia
- Nestlé Institute of Health Sciences, Innovation Park, EPFL, Lausanne, Switzerland
| | - Jose Guadalupe Guevara-Chávez
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Leticia Sebastián-Medina
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Martha Menjívar
- Departamento de Biología, Facultad de Química UNAM, Mexico City and Unidad Académica de Ciencias y Tecnología, UNAM-Yucatán, Mérida, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Alessandra Carnevale
- Laboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Teresa Villarreal-Molina
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
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Blanc J, Berg JJ. Testing for differences in polygenic scores in the presence of confounding. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.12.532301. [PMID: 36993707 PMCID: PMC10055004 DOI: 10.1101/2023.03.12.532301] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Polygenic scores have become an important tool in human genetics, enabling the prediction of individuals' phenotypes from their genotypes. Understanding how the pattern of differences in polygenic score predictions across individuals intersects with variation in ancestry can provide insights into the evolutionary forces acting on the trait in question, and is important for understanding health disparities. However, because most polygenic scores are computed using effect estimates from population samples, they are susceptible to confounding by both genetic and environmental effects that are correlated with ancestry. The extent to which this confounding drives patterns in the distribution of polygenic scores depends on patterns of population structure in both the original estimation panel and in the prediction/test panel. Here, we use theory from population and statistical genetics, together with simulations, to study the procedure of testing for an association between polygenic scores and axes of ancestry variation in the presence of confounding. We use a general model of genetic relatedness to describe how confounding in the estimation panel biases the distribution of polygenic scores in a way that depends on the degree of overlap in population structure between panels. We then show how this confounding can bias tests for associations between polygenic scores and important axes of ancestry variation in the test panel. Specifically, for any given test, there exists a single axis of population structure in the GWAS panel that needs to be controlled for in order to protect the test. Based on this result, we propose a new approach for directly estimating this axis of population structure in the GWAS panel. We then use simulations to compare the performance of this approach to the standard approach in which the principal components of the GWAS panel genotypes are used to control for stratification.
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Affiliation(s)
- Jennifer Blanc
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Jeremy J. Berg
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
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5
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Sun Q, Wang M, Lu T, Duan S, Liu Y, Chen J, Wang Z, Sun Y, Li X, Wang S, Lu L, Hu L, Yun L, Yang J, Yan J, Nie S, Zhu Y, Chen G, Wang CC, Liu C, He G, Tang R. Differentiated adaptative genetic architecture and language-related demographical history in South China inferred from 619 genomes from 56 populations. BMC Biol 2024; 22:55. [PMID: 38448908 PMCID: PMC10918984 DOI: 10.1186/s12915-024-01854-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND The underrepresentation of human genomic resources from Southern Chinese populations limited their health equality in the precision medicine era and complete understanding of their genetic formation, admixture, and adaptive features. Besides, linguistical and genetic evidence supported the controversial hypothesis of their origin processes. One hotspot case was from the Chinese Guangxi Pinghua Han people (GPH), whose language was significantly similar to Southern Chinese dialects but whose uniparental gene pool was phylogenetically associated with the indigenous Tai-Kadai (TK) people. Here, we analyzed genome-wide SNP data in 619 people from four language families and 56 geographically different populations, in which 261 people from 21 geographically distinct populations were first reported here. RESULTS We identified significant population stratification among ethnolinguistically diverse Guangxi populations, suggesting their differentiated genetic origin and admixture processes. GPH shared more alleles related to Zhuang than Southern Han Chinese but received more northern ancestry relative to Zhuang. Admixture models and estimates of genetic distances showed that GPH had a close genetic relationship with geographically close TK compared to Northern Han Chinese, supporting their admixture origin hypothesis. Further admixture time and demographic history reconstruction supported GPH was formed via admixture between Northern Han Chinese and Southern TK people. We identified robust signatures associated with lipid metabolisms, such as fatty acid desaturases (FADS) and medically relevant loci associated with Mendelian disorder (GJB2) and complex diseases. We also explored the shared and unique selection signatures of ethnically different but linguistically related Guangxi lineages and found some shared signals related to immune and malaria resistance. CONCLUSIONS Our genetic analysis illuminated the language-related fine-scale genetic structure and provided robust genetic evidence to support the admixture hypothesis that can explain the pattern of observed genetic diversity and formation of GPH. This work presented one comprehensive analysis focused on the population history and demographical adaptative process, which provided genetic evidence for personal health management and disease risk prediction models from Guangxi people. Further large-scale whole-genome sequencing projects would provide the entire landscape of southern Chinese genomic diversity and their contributions to human health and disease traits.
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Affiliation(s)
- Qiuxia Sun
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Tao Lu
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Shaomei Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Liuyi Lu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yanfeng Zhu
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Gang Chen
- Hunan Key Lab of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Forensic Science Institute, Guangzhou, 510055, China
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
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6
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Peyrégne S, Slon V, Kelso J. More than a decade of genetic research on the Denisovans. Nat Rev Genet 2024; 25:83-103. [PMID: 37723347 DOI: 10.1038/s41576-023-00643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2023] [Indexed: 09/20/2023]
Abstract
Denisovans, a group of now extinct humans who lived in Eastern Eurasia in the Middle and Late Pleistocene, were first identified from DNA sequences just over a decade ago. Only ten fragmentary remains from two sites have been attributed to Denisovans based entirely on molecular information. Nevertheless, there has been great interest in using genetic data to understand Denisovans and their place in human history. From the reconstruction of a single high-quality genome, it has been possible to infer their population history, including events of admixture with other human groups. Additionally, the identification of Denisovan DNA in the genomes of present-day individuals has provided insights into the timing and routes of dispersal of ancient modern humans into Asia and Oceania, as well as the contributions of archaic DNA to the physiology of present-day people. In this Review, we synthesize more than a decade of research on Denisovans, reconcile controversies and summarize insights into their population history and phenotype. We also highlight how our growing knowledge about Denisovans has provided insights into our own evolutionary history.
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Affiliation(s)
- Stéphane Peyrégne
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Viviane Slon
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Dan David Center for Human Evolution and Biohistory Research, Tel Aviv University, Tel Aviv, Israel
| | - Janet Kelso
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
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7
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Schooling CM, Kwok MK, Zhao JV. The relationship of fatty acids to ischaemic heart disease and lifespan in men and women using Mendelian randomization. Int J Epidemiol 2023; 52:1845-1852. [PMID: 37536998 DOI: 10.1093/ije/dyad108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 07/20/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Observationally, polyunsaturated fatty acids (PUFAs) have health benefits compared with saturated fatty acids (SFAs); randomized controlled trials suggest fewer benefits. We used uni- and multi-variable Mendelian randomization to assess the association of major fatty acids and their sub-species with ischaemic heart disease (IHD) overall and sex-specifically and with lifespan sex-specifically, given differing lifespan by sex. METHODS We obtained strong (P <5x10-8), independent (r2<0.001) genetic predictors of fatty acids from genome-wide association studies (GWAS) in a random subset of 114 999 UK Biobank participants. We applied these genetic predictors to the Cardiogram IHD GWAS (cases = 60 801, controls = 123 504) and to the Finngen consortium GWAS (cases = 31 640, controls = 187 152) for replication and to the UK Biobank for sex-specific IHD and for lifespan based on parental attained age (fathers = 415 311, mothers = 412 937). We used sensitivity analysis and assessed sex differences where applicable. RESULTS PUFAs were associated with IHD [odds ratio 1.23, 95% confidence interval (CI) 1.05 to 1.44] and lifespan in men (-0.76 years, 95% CI -1.34 to -0.17) but not women (0.20, 95% CI -0.32 to 0.70). Findings were similar for omega-6 fatty acids and linoleic acid. Independent associations of SFAs, mono-unsaturated fatty acids or omega-3 fatty acids with IHD overall or lifespan in men and women were limited. CONCLUSIONS PUFAs, via specific subspecies, may contribute to disparities in lifespan by sex. Sex-specific dietary advice might be a start towards personalized public health and addressing inequities.
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Affiliation(s)
- C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- City University of New York, Graduate School of Public Health and Health Policy, New York, NY, USA
| | - Man Ki Kwok
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
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8
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Sergeant S, Keith BA, Seeds MC, Legins JA, Young CB, Vitolins MZ, Chilton FH. Impact of FADS gene variation and dietary fatty acid exposure on biochemical and anthropomorphic phenotypes in a Hispanic/Latino cohort. Front Nutr 2023; 10:1111624. [PMID: 37215219 PMCID: PMC10196633 DOI: 10.3389/fnut.2023.1111624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 04/11/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction Polyunsaturated fatty acids (PUFA) and highly unsaturated fatty acid (HUFA) synthetic products and their signaling metabolites play vital roles in immunity, inflammation, and brain development/function. Frequency differences of variants within the fatty acid desaturase (FADS) gene cluster affect levels of HUFAs, their biologically active products, and numerous physiological phenotypes. Fundamental questions remain regarding the impact of this genetic variation on the health of Hispanic/Latino populations. Methods Data and biospecimens (plasma, red blood cells, buffy coat-derived DNA) from 135 participants (83.7% female) were used to assess the relationship(s) between dietary PUFA levels, a FADS haplotype tagging SNP, rs174537, and the capacity of Hispanic/Latino populations to generate HUFAs in plasma and RBC as well as its potential impact on anthropomorphic phenotypes. Results The dietary habits of the cohort showed that participant diets contained a high ratio (9.3 ± 0.2, mean ± SEM) of linoleic acid (n-6) to alpha-linolenic acid (n-3) and also contained extremely low levels of n-3 HUFAs (eicosapentaenoic acid, EPA and docosahexaenoic acid, DHA), both features of the Modern Western Diet. Compared to African and European American cohorts, the frequency of the TT rs174537 genotype was highly enriched (53% of subjects) in this Hispanic/Latino cohort and was strongly associated with lower circulating HUFA levels. For example, plasma levels of arachidonic acid (ARA: 20:4, n-6) and EPA (20:5, n-3) were 37% and 23%, respectively, lower in the TT versus the GG genotype. HUFA biosynthetic efficiency, as determined by metabolic product to precursor ratios, was highly dependent (p < 0.0001) on the rs174537 genotype (GG > GT > TT) for both circulating n-6 and n-3 HUFAs. In contrast, the RBC Omega-3 Index (EPA + DHA) was extremely low (2.89 ± 1.65, mean ± sd) in this population and independent of rs174537 genotype. Importantly, the rs174537 genotype was also related to female height with TT genotype participants being 4.5 cm shorter (p = 0.0001) than the GG + GT participants. Discussion Taken together, this study illustrates that dietary PUFA + HUFA × FADS gene- interactions place a large proportion (>50%) of Hispanic/Latino populations at high risk of a deficiency in both circulating and cellular levels of n-3 HUFAs.
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Affiliation(s)
- Susan Sergeant
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Brian A. Keith
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Michael C. Seeds
- Wake Forest Institute for Regenerative Medicine, Winston-Salem, NC, United States
| | - Jimaree A. Legins
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Caroline B. Young
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Mara Z. Vitolins
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Floyd H. Chilton
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States
- Center for Precision Nutrition and Wellness, University of Arizona, Tucson, AZ, United States
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9
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Kolesnikov NA, Kharkov VN, Vagaitseva KV, Zarubin AA, Stepanov VA. Blocks identical by descent in the genomes of the indigenous population of Siberia demonstrate genetic links between populations. Vavilovskii Zhurnal Genet Selektsii 2023; 27:55-62. [PMID: 36923483 PMCID: PMC10009479 DOI: 10.18699/vjgb-23-08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/17/2023] [Accepted: 01/24/2023] [Indexed: 03/18/2023] Open
Abstract
The gene pool of the indigenous population of Siberia is a unique system for studying population and evolutionary genetic processes, analyzing genetic diversity, and reconstructing the genetic history of populations. High ethnic diversity is a feature of Siberia, as one of the regions of the peripheral settlement of modern human. The vast expanses of this region and the small number of aboriginal populations contributed to the formation of significant territorial and genetic subdivision. About 40 indigenous peoples are settled on the territory of the Siberian historical and ethnographic province. Within the framework of this work, a large-scale population study of the gene pool of the indigenous peoples of Siberia was carried out for the first time at the level of high-density biochips. This makes it possible to fill in a significant gap in the genogeographic picture of the Eurasian population. For this, DNA fragments were analyzed, which had been inherited without recombination by each pair of individuals from their recent common ancestor, that is, segments (blocks) identical by descent (IBD). The distribution of IBD blocks in the populations of Siberia is in good agreement with the geographical proximity of the populations and their linguistic affiliation. Among the Siberian populations, the Chukchi, Koryaks, and Nivkhs form a separate cluster from the main Siberian group, with the Chukchi and Koryaks being more closely related. Separate subclusters of Evenks and Yakuts, Kets and Chulyms are formed within the Siberian cluster. Analysis of SNPs that fell into more IBD segments of the analyzed populations made it possible to compile a list of 5358 genes. According to the calculation results, biological processes enriched with these genes are associated with the detection of a chemical stimulus involved in the sensory perception of smell. Enriched for the genes found, molecular pathways are associated with the metabolism of linoleic, arachidonic, tyrosic acids and by olfactory transduction. At the same time, an analysis of the literature data showed that some of the selected genes, which were found in a larger number of IBD blocks in several populations at once, can play a role in genetic adaptation to environmental factors.
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Affiliation(s)
- N A Kolesnikov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - V N Kharkov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - K V Vagaitseva
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - A A Zarubin
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - V A Stepanov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
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10
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Koptekin D, Yüncü E, Rodríguez-Varela R, Altınışık NE, Psonis N, Kashuba N, Yorulmaz S, George R, Kazancı DD, Kaptan D, Gürün K, Vural KB, Gemici HC, Vassou D, Daskalaki E, Karamurat C, Lagerholm VK, Erdal ÖD, Kırdök E, Marangoni A, Schachner A, Üstündağ H, Shengelia R, Bitadze L, Elashvili M, Stravopodi E, Özbaşaran M, Duru G, Nafplioti A, Rose CB, Gencer T, Darbyshire G, Gavashelishvili A, Pitskhelauri K, Çevik Ö, Vuruşkan O, Kyparissi-Apostolika N, Büyükkarakaya AM, Oğuzhanoğlu U, Günel S, Tabakaki E, Aliev A, Ibrahimov A, Shadlinski V, Sampson A, Kılınç GM, Atakuman Ç, Stamatakis A, Poulakakis N, Erdal YS, Pavlidis P, Storå J, Özer F, Götherström A, Somel M. Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean. Curr Biol 2023; 33:41-57.e15. [PMID: 36493775 PMCID: PMC9839366 DOI: 10.1016/j.cub.2022.11.034] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/13/2022] [Accepted: 11/15/2022] [Indexed: 12/13/2022]
Abstract
We present a spatiotemporal picture of human genetic diversity in Anatolia, Iran, Levant, South Caucasus, and the Aegean, a broad region that experienced the earliest Neolithic transition and the emergence of complex hierarchical societies. Combining 35 new ancient shotgun genomes with 382 ancient and 23 present-day published genomes, we found that genetic diversity within each region steadily increased through the Holocene. We further observed that the inferred sources of gene flow shifted in time. In the first half of the Holocene, Southwest Asian and the East Mediterranean populations homogenized among themselves. Starting with the Bronze Age, however, regional populations diverged from each other, most likely driven by gene flow from external sources, which we term "the expanding mobility model." Interestingly, this increase in inter-regional divergence can be captured by outgroup-f3-based genetic distances, but not by the commonly used FST statistic, due to the sensitivity of FST, but not outgroup-f3, to within-population diversity. Finally, we report a temporal trend of increasing male bias in admixture events through the Holocene.
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Affiliation(s)
- Dilek Koptekin
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, 06800 Ankara, Turkey,Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey,Corresponding author
| | - Eren Yüncü
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Ricardo Rodríguez-Varela
- Centre for Palaeogenetics, Stockholm, Sweden,Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - N. Ezgi Altınışık
- Human-G Laboratory, Department of Anthropology, Hacettepe University, Beytepe 06800, Ankara, Turkey
| | - Nikolaos Psonis
- Ancient DNA Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013 Irakleio, Greece
| | - Natalia Kashuba
- Department of Archaeology and Ancient History, Archaeology, Uppsala University, Uppsala, Sweden
| | - Sevgi Yorulmaz
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Robert George
- Centre for Palaeogenetics, Stockholm, Sweden,School of Medicine, University of Notre Dame, Sydney, Australia
| | - Duygu Deniz Kazancı
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey,Human-G Laboratory, Department of Anthropology, Hacettepe University, Beytepe 06800, Ankara, Turkey
| | - Damla Kaptan
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Kanat Gürün
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Kıvılcım Başak Vural
- Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Hasan Can Gemici
- Department of Settlement Archaeology, Middle East Technical University, 06800 Ankara, Turkey
| | - Despoina Vassou
- Ancient DNA Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013 Irakleio, Greece
| | - Evangelia Daskalaki
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Cansu Karamurat
- Department of Settlement Archaeology, Middle East Technical University, 06800 Ankara, Turkey
| | - Vendela K. Lagerholm
- Centre for Palaeogenetics, Stockholm, Sweden,Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Ömür Dilek Erdal
- Husbio-L Laboratory, Department of Anthropology, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Emrah Kırdök
- Department of Biotechnology, Mersin University, 33343 Yenişehir, Mersin, Turkey
| | | | - Andreas Schachner
- Deutsches Archäologisches Institut, Inönü Cad. 10, Gümüşsuyu, 34437 İstanbul, Turkey
| | - Handan Üstündağ
- Department of Archaeology, Anadolu University, 26470 Eskişehir, Turkey
| | - Ramaz Shengelia
- Department of the History of Medicine and Bioethics, Tbilisi State Medical University, Tbilisi 0162, Georgia
| | - Liana Bitadze
- Institute of History and Ethnology, Tbilisi State University, Tbilisi, Georgia
| | - Mikheil Elashvili
- Cultural Heritage and Environment Research Center, School of Natural Sciences and Medicine, Ilia State University, Tbilisi, Georgia
| | - Eleni Stravopodi
- Ephorate of Palaeoanthropology and Speleology, Ministry of Culture and Sports, 11636 Athens, Greece
| | | | - Güneş Duru
- Mimar Sinan Fine Arts University, 34134 Istanbul, Turkey
| | - Argyro Nafplioti
- Ancient DNA Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013 Irakleio, Greece
| | - C. Brian Rose
- Department of Classical Studies, University of Pennsylvania, Philadelphia, PA, USA
| | - Tuğba Gencer
- Department of History of Medicine and Ethics, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | | | - Alexander Gavashelishvili
- Center of Biodiversity Studies, Institute of Ecology, Ilia State University, Cholokashvili Str. 5, Tbilisi 0162, Georgia
| | | | - Özlem Çevik
- Department of Archaeology, Trakya University, Edirne, Turkey
| | - Osman Vuruşkan
- Department of Archaeology, Trakya University, Edirne, Turkey
| | | | - Ali Metin Büyükkarakaya
- Department of Anthropology, Hacettepe University, 06800 Beytepe, Ankara, Turkey,Human Behavioral Ecology and Archaeometry Laboratory (IDEA Lab), Hacettepe University, Ankara, Turkey
| | - Umay Oğuzhanoğlu
- Department of Archaeology, Pamukkale University, Denizli, Turkey
| | - Sevinç Günel
- Department of Archaeology, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Eugenia Tabakaki
- Ancient DNA Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013 Irakleio, Greece
| | - Akper Aliev
- Azerbaijan DNA Project, Family Tree DNA, Houston, TX, USA
| | | | | | - Adamantios Sampson
- Department of Mediterranean Studies, University of Aegean, Dimokratias st., 85100 Rhodes, Greece
| | - Gülşah Merve Kılınç
- Department of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, 06100 Ankara, Turkey
| | - Çiğdem Atakuman
- Institute of Social Sciences, Middle East Technical University, 06800 Ankara, Turkey
| | - Alexandros Stamatakis
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany,Institute for Theoretical Informatics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
| | - Nikos Poulakakis
- Ancient DNA Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013 Irakleio, Greece,Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, 71409 Irakleio, Greece,Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, 70013 Irakleio, Greece
| | - Yılmaz Selim Erdal
- Human-G Laboratory, Department of Anthropology, Hacettepe University, Beytepe 06800, Ankara, Turkey,Husbio-L Laboratory, Department of Anthropology, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece
| | - Jan Storå
- Osteoarchaeological Research Laboratory, Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Füsun Özer
- Human-G Laboratory, Department of Anthropology, Hacettepe University, Beytepe 06800, Ankara, Turkey
| | - Anders Götherström
- Centre for Palaeogenetics, Stockholm, Sweden,Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden,Corresponding author
| | - Mehmet Somel
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, 06800 Ankara, Turkey,Department of Biological Sciences, Middle East Technical University, 06800 Ankara, Turkey,Corresponding author
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11
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Chen H, Lin R, Lu Y, Zhang R, Gao Y, He Y, Xu S. Tracing Bai-Yue Ancestry in Aboriginal Li People on Hainan Island. Mol Biol Evol 2022; 39:6731089. [PMID: 36173765 PMCID: PMC9585476 DOI: 10.1093/molbev/msac210] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
As the most prevalent aboriginal group on Hainan Island located between South China and the mainland of Southeast Asia, the Li people are believed to preserve some unique genetic information due to their isolated circumstances, although this has been largely uninvestigated. We performed the first whole-genome sequencing of 55 Hainan Li (HNL) individuals with high coverage (∼30-50×) to gain insight into their genetic history and potential adaptations. We identified the ancestry enriched in HNL (∼85%) is well preserved in present-day Tai-Kadai speakers residing in South China and North Vietnam, that is, Bai-Yue populations. A lack of admixture signature due to the geographical restriction exacerbated the bottleneck in the present-day HNL. The genetic divergence among Bai-Yue populations began ∼4,000-3,000 years ago when the proto-HNL underwent migration and the settling of Hainan Island. Finally, we identified signatures of positive selection in the HNL, some outstanding examples included FADS1 and FADS2 related to a diet rich in polyunsaturated fatty acids. In addition, we observed that malaria-driven selection had occurred in the HNL, with population-specific variants of malaria-related genes (e.g., CR1) present. Interestingly, HNL harbors a high prevalence of malaria leveraged gene variants related to hematopoietic function (e.g., CD3G) that may explain the high incidence of blood disorders such as B-cell lymphomas in the present-day HNL. The results have advanced our understanding of the genetic history of the Bai-Yue populations and have provided new insights into the adaptive scenarios of the Li people.
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Affiliation(s)
| | | | - Yan Lu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China,Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
| | - Rui Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yang Gao
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
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12
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Reilly PF, Tjahjadi A, Miller SL, Akey JM, Tucci S. The contribution of Neanderthal introgression to modern human traits. Curr Biol 2022; 32:R970-R983. [PMID: 36167050 PMCID: PMC9741939 DOI: 10.1016/j.cub.2022.08.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neanderthals, our closest extinct relatives, lived in western Eurasia from 400,000 years ago until they went extinct around 40,000 years ago. DNA retrieved from ancient specimens revealed that Neanderthals mated with modern human contemporaries. As a consequence, introgressed Neanderthal DNA survives scattered across the human genome such that 1-4% of the genome of present-day people outside Africa are inherited from Neanderthal ancestors. Patterns of Neanderthal introgressed genomic sequences suggest that Neanderthal alleles had distinct fates in the modern human genetic background. Some Neanderthal alleles facilitated human adaptation to new environments such as novel climate conditions, UV exposure levels and pathogens, while others had deleterious consequences. Here, we review the body of work on Neanderthal introgression over the past decade. We describe how evolutionary forces shaped the genomic landscape of Neanderthal introgression and highlight the impact of introgressed alleles on human biology and phenotypic variation.
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Affiliation(s)
| | - Audrey Tjahjadi
- Department of Anthropology, Yale University, New Haven, CT, USA
| | | | - Joshua M Akey
- Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
| | - Serena Tucci
- Department of Anthropology, Yale University, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
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13
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Iannucci A, Benazzo A, Natali C, Arida EA, Zein MSA, Jessop TS, Bertorelle G, Ciofi C. Population structure, genomic diversity and demographic history of Komodo dragons inferred from whole-genome sequencing. Mol Ecol 2021; 30:6309-6324. [PMID: 34390519 PMCID: PMC9292392 DOI: 10.1111/mec.16121] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 07/28/2021] [Accepted: 08/03/2021] [Indexed: 02/07/2023]
Abstract
Population and conservation genetics studies have greatly benefited from the development of new techniques and bioinformatic tools associated with next-generation sequencing. Analysis of extensive data sets from whole-genome sequencing of even a few individuals allows the detection of patterns of fine-scale population structure and detailed reconstruction of demographic dynamics through time. In this study, we investigated the population structure, genomic diversity and demographic history of the Komodo dragon (Varanus komodoensis), the world's largest lizard, by sequencing the whole genomes of 24 individuals from the five main Indonesian islands comprising the entire range of the species. Three main genomic groups were observed. The populations of the Island of Komodo and the northern coast of Flores, in particular, were identified as two distinct conservation units. Degrees of genomic divergence among island populations were interpreted as a result of changes in sea level affecting connectivity across islands. Demographic inference suggested that Komodo dragons probably experienced a relatively steep population decline over the last million years, reaching a relatively stable Ne during the Saalian glacial cycle (400-150 thousand years ago) followed by a rapid Ne decrease. Genomic diversity of Komodo dragons was similar to that found in endangered or already extinct reptile species. Overall, this study provides an example of how whole-genome analysis of a few individuals per population can help define population structure and intraspecific demographic dynamics. This is particularly important when applying population genomics data to conservation of rare or elusive endangered species.
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Affiliation(s)
| | - Andrea Benazzo
- Department of Life Sciences and BiotechnologyUniversity of FerraraFerraraItaly
| | - Chiara Natali
- Department of BiologyUniversity of FlorenceFirenzeItaly
| | - Evy Ayu Arida
- Research Center for BiologyThe Indonesian Institute of Sciences (LIPI)Cibinong Science CenterCibinongIndonesia
| | - Moch Samsul Arifin Zein
- Research Center for BiologyThe Indonesian Institute of Sciences (LIPI)Cibinong Science CenterCibinongIndonesia
| | - Tim S. Jessop
- School of Life and Environmental SciencesDeakin UniversityGeelongVic.Australia
| | - Giorgio Bertorelle
- Department of Life Sciences and BiotechnologyUniversity of FerraraFerraraItaly
| | - Claudio Ciofi
- Department of BiologyUniversity of FlorenceFirenzeItaly
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14
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Allele frequency differentiation at height-associated SNPs among continental human populations. Eur J Hum Genet 2021; 29:1542-1548. [PMID: 34267339 PMCID: PMC8484658 DOI: 10.1038/s41431-021-00938-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 06/20/2021] [Accepted: 06/28/2021] [Indexed: 02/07/2023] Open
Abstract
Methods to detect polygenic adaptation have recently been shown to be sensitive to uncorrected stratification in GWAS, thereby casting doubts on whether polygenic adaptation is prevalent among humans. Consistent with a signal of adaptation at human height loci, the mean FST among African, East Asian, and European populations was shown to be significantly higher at height-associated SNPs than that at non-associated SNPs. This conclusion was reached, however, using height-associated SNPs ascertained from a GWAS design impacted by residual confounding due to uncorrected stratification. Specifically, we show here that the estimated effect sizes are significantly correlated with population structure across continents, potentially explaining the elevated differentiation previously reported. We alleviated these concerns of confounding by ascertaining height-associated SNPs from two biobank GWAS (UK Biobank, UKB, and Biobank Japan, BBJ), where measures to control for confounding in GWAS are more effective. Consistent with a global signature of polygenic adaptation, we found that compared to non-associated SNPs, frequencies of height-associated SNPs are indeed significantly more differentiated among continental populations from both the 1000 Genomes Project (p = 0.0012 for UKB and p = 0.0265 for BBJ), and the Human Genome Diversity Project (p = 0.0225 for UKB and p = 0.0032 for BBJ). However, we found no significant difference among continental populations in polygenic height scores. Through simulations, we found that polygenic score-based statistics could lose power in detecting polygenic adaptation in presence of independent converging selections, thereby potentially explaining the inconsistent results based on FST and polygenic scores.
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15
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Brumm A, Bulbeck D, Hakim B, Burhan B, Oktaviana AA, Sumantri I, Zhao JX, Aubert M, Sardi R, McGahan D, Saiful AM, Adhityatama S, Kaifu Y. Skeletal remains of a Pleistocene modern human (Homo sapiens) from Sulawesi. PLoS One 2021; 16:e0257273. [PMID: 34587195 PMCID: PMC8480874 DOI: 10.1371/journal.pone.0257273] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 08/27/2021] [Indexed: 11/25/2022] Open
Abstract
Major gaps remain in our knowledge of the early history of Homo sapiens in Wallacea. By 70-60 thousand years ago (ka), modern humans appear to have entered this distinct biogeographical zone between continental Asia and Australia. Despite this, there are relatively few Late Pleistocene sites attributed to our species in Wallacea. H. sapiens fossil remains are also rare. Previously, only one island in Wallacea (Alor in the southeastern part of the archipelago) had yielded skeletal evidence for pre-Holocene modern humans. Here we report on the first Pleistocene human skeletal remains from the largest Wallacean island, Sulawesi. The recovered elements consist of a nearly complete palate and frontal process of a modern human right maxilla excavated from Leang Bulu Bettue in the southwestern peninsula of the island. Dated by several different methods to between 25 and 16 ka, the maxilla belongs to an elderly individual of unknown age and sex, with small teeth (only M1 to M3 are extant) that exhibit severe occlusal wear and related dental pathologies. The dental wear pattern is unusual. This fragmentary specimen, though largely undiagnostic with regards to morphological affinity, provides the only direct insight we currently have from the fossil record into the identity of the Late Pleistocene people of Sulawesi.
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Affiliation(s)
- Adam Brumm
- Australian Research Centre for Human Evolution, Griffith University, Brisbane, Australia
| | - David Bulbeck
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, Australia
| | | | - Basran Burhan
- Australian Research Centre for Human Evolution, Griffith University, Brisbane, Australia
| | - Adhi Agus Oktaviana
- Pusat Penelitian Arkeologi Nasional (ARKENAS), Jakarta, Indonesia
- Place, Evolution and Rock Art Heritage Unit, Griffith Centre for Social and Cultural Research, Griffith University, Gold Coast, Australia
| | - Iwan Sumantri
- Archaeology Laboratory, Hasanuddin University, Makassar, Indonesia
| | - Jian-xin Zhao
- School of Earth & Environmental Sciences, University of Queensland, St. Lucia, Queensland, Australia
| | - Maxime Aubert
- Australian Research Centre for Human Evolution, Griffith University, Brisbane, Australia
- Place, Evolution and Rock Art Heritage Unit, Griffith Centre for Social and Cultural Research, Griffith University, Gold Coast, Australia
| | - Ratno Sardi
- Balai Arkeologi Sulawesi Selatan, Makassar, Indonesia
| | - David McGahan
- Australian Research Centre for Human Evolution, Griffith University, Brisbane, Australia
| | | | | | - Yousuke Kaifu
- The University Museum, The University of Tokyo, Bunkyo, Tokyo, Japan
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16
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Larena M, McKenna J, Sanchez-Quinto F, Bernhardsson C, Ebeo C, Reyes R, Casel O, Huang JY, Hagada KP, Guilay D, Reyes J, Allian FP, Mori V, Azarcon LS, Manera A, Terando C, Jamero L, Sireg G, Manginsay-Tremedal R, Labos MS, Vilar RD, Latiph A, Saway RL, Marte E, Magbanua P, Morales A, Java I, Reveche R, Barrios B, Burton E, Salon JC, Kels MJT, Albano A, Cruz-Angeles RB, Molanida E, Granehäll L, Vicente M, Edlund H, Loo JH, Trejaut J, Ho SYW, Reid L, Lambeck K, Malmström H, Schlebusch C, Endicott P, Jakobsson M. Philippine Ayta possess the highest level of Denisovan ancestry in the world. Curr Biol 2021; 31:4219-4230.e10. [PMID: 34388371 PMCID: PMC8596304 DOI: 10.1016/j.cub.2021.07.022] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/04/2021] [Accepted: 07/12/2021] [Indexed: 12/30/2022]
Abstract
Multiple lines of evidence show that modern humans interbred with archaic Denisovans. Here, we report an account of shared demographic history between Australasians and Denisovans distinctively in Island Southeast Asia. Our analyses are based on ∼2.3 million genotypes from 118 ethnic groups of the Philippines, including 25 diverse self-identified Negrito populations, along with high-coverage genomes of Australopapuans and Ayta Magbukon Negritos. We show that Ayta Magbukon possess the highest level of Denisovan ancestry in the world-∼30%-40% greater than that of Australians and Papuans-consistent with an independent admixture event into Negritos from Denisovans. Together with the recently described Homo luzonensis, we suggest that there were multiple archaic species that inhabited the Philippines prior to the arrival of modern humans and that these archaic groups may have been genetically related. Altogether, our findings unveil a complex intertwined history of modern and archaic humans in the Asia-Pacific region, where distinct Islander Denisovan populations differentially admixed with incoming Australasians across multiple locations and at various points in time.
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Affiliation(s)
- Maximilian Larena
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden.
| | - James McKenna
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Federico Sanchez-Quinto
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden; Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
| | - Carolina Bernhardsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Carlo Ebeo
- National Committee on Cultural Education, National Commission for Culture and the Arts, Intramuros, Manila, Philippines; National Museum of the Philippines, Padre Burgos Avenue, Rizal Park, Ermita, Manila, Philippines
| | - Rebecca Reyes
- Ayta Magbukon Cultural Bearer, Ayta Magbukon Indigenous Cultural Community, Abucay, Bataan, Philippines; National Commission on Indigenous Peoples, Philippines
| | - Ophelia Casel
- Mindanao Doctors Hospital and Cancer Center, Kabacan, Cotabato, Philippines
| | - Jin-Yuan Huang
- Molecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei City 10449, Taiwan
| | - Kim Pullupul Hagada
- National Commission on Indigenous Peoples, Philippines; Young Indigenous Peoples Empowered to Act in Community Engagement, Diffun, Quirino
| | - Dennis Guilay
- Balangao Indigenous Cultural Community, Paracelis, Mountain Province, Cordillera Administrative Region, Philippines
| | - Jennelyn Reyes
- Department of Education - Bataan Division, Bataan, Philippines
| | - Fatima Pir Allian
- Nisa Ul Haqq fi Bangsamoro, Zamboanga City, Bangsamoro Autonomous Region in Muslim Mindanao, Philippines; Tarbilang Foundation, Inc., Bongao, Tawi-Tawi, Bangsamoro Autonomous Region in Muslim Mindanao, Philippines
| | - Virgilio Mori
- Tarbilang Foundation, Inc., Bongao, Tawi-Tawi, Bangsamoro Autonomous Region in Muslim Mindanao, Philippines
| | - Lahaina Sue Azarcon
- Center for Language and Culture, Quirino State University, Barangay Andres Bonifacio, Diffun, Quirino, Philippines
| | - Alma Manera
- Center for Language and Culture, Cagayan State University - Andrews Campus, Caritan Highway, Tuguegarao, Cagayan, Philippines
| | - Celito Terando
- Tagakaulo Indigenous Cultural Community, Malungon, Sarangani, Philippines; Sulong Tribu Program, Provincial Government of Sarangani, Glan, Sarangani, Philippines
| | - Lucio Jamero
- Ayta Magbukon Cultural Bearer, Ayta Magbukon Indigenous Cultural Community, Abucay, Bataan, Philippines
| | - Gauden Sireg
- Subanen Indigenous Cultural Community, Lakewood, Zamboanga del Sur, Philippines; Dumendingan Arts Guild Inc., Pagadian City, Zamboanga del Sur, Philippines
| | | | - Maria Shiela Labos
- Ateneo Institute of Anthropology, Ateneo de Davao University, Roxas Avenue, 8016 Davao City, Philippines; Museo Dabawenyo, Andres Bonifacio Rotunda, Poblacion District, Davao City, Philippines
| | - Richard Dian Vilar
- Cultural Outreach Program, Kaliwat Performing Artists Collective, Gumamela St., Lanang, Davao City, Philippines; Culture, Heritage, and Arts Office, Local Government Unit of Butuan, Butuan City, Philippines
| | - Acram Latiph
- Institute for Peace and Development in Mindanao, Mindanao State University - Marawi Campus, Marawi City, Lanao del Sur, Bangsamoro Autonomous Region in Muslim Mindanao, Philippines
| | | | - Erwin Marte
- Legal Affairs Office, Indigenous People's Mandatory Representative - Sangguniang Panlalawigan, Bukidnon, Northern Mindanao, Philippines
| | - Pablito Magbanua
- National Commission on Indigenous Peoples, Philippines; Cuyonon Indigenous Cultural Community, Cuyo Island, Palawan, Philippines
| | - Amor Morales
- Surigaonon Heritage Center, Surigao City, Surigao del Norte, Philippines
| | - Ismael Java
- Kabankalan City Cultural and Tourism Foundation, Inc., Kabankalan City, Negros Occidental, Philippines; Cultural Research and Documentation, Negros Museum, Gatuslao St., Bacolod, Negros Occidental, Philippines
| | - Rudy Reveche
- Cultural Research and Documentation, Negros Museum, Gatuslao St., Bacolod, Negros Occidental, Philippines; Culture and Arts Program, Colegio San Agustin, BS Aquino Drive, Bacolod, Negros Occidental, Philippines
| | - Becky Barrios
- Panaghiusa Alang Sa Kaugalingnan Ug Kalingkawasan, Inc., Bunawan, Agusan del Sur, Philippines; Agusan Manobo Indigenous Cultural Community, La Paz, Agusan del Sur, Philippines
| | - Erlinda Burton
- Museo de Oro, Xavier University - Ateneo de Cagayan, Corrales Avenue, Cagayan de Oro City, Philippines
| | - Jesus Christopher Salon
- Museo de Oro, Xavier University - Ateneo de Cagayan, Corrales Avenue, Cagayan de Oro City, Philippines; City Museum of Cagayan de Oro, Fernandez St., Cagayan de Oro City, Philippines
| | - Ma Junaliah Tuazon Kels
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Adrian Albano
- Kalanguya Indigenous Cultural Community, Tinoc, Ifugao, Cordillera Administrative Region, Philippines; Office of Tinoc Campus Administrator, Ifugao State University, Tinoc, Ifugao, Cordillera Administrative Region, Philippines
| | | | - Edison Molanida
- Heritage Office, National Commission for Culture and the Arts, Intramuros, Manila, Philippines; Office of the Executive Director, National Commission for Culture and the Arts, Intramuros, Manila, Philippines
| | - Lena Granehäll
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Mário Vicente
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Hanna Edlund
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Jun-Hun Loo
- Molecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei City 10449, Taiwan
| | - Jean Trejaut
- Molecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei City 10449, Taiwan
| | - Simon Y W Ho
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - Lawrence Reid
- Department of Linguistics, University of Hawai'i at Mānoa, Mānoa, HI, USA; National Museum of the Philippines, Padre Burgos Avenue, Rizal Park, Ermita, Manila, Philippines
| | - Kurt Lambeck
- Research School of Earth Sciences, The Australian National University, Canberra, ACT 0200, Australia
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden; Palaeo-Research Institute, University of Johannesburg, PO Box 524, Auckland Park 2006, South Africa
| | - Carina Schlebusch
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden; Palaeo-Research Institute, University of Johannesburg, PO Box 524, Auckland Park 2006, South Africa; SciLifeLab, Stockholm and Uppsala, Sweden
| | - Phillip Endicott
- Department Hommes Natures Societies, Musée de l'Homme, 75016 Paris, Ile de France, France
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden; Palaeo-Research Institute, University of Johannesburg, PO Box 524, Auckland Park 2006, South Africa; SciLifeLab, Stockholm and Uppsala, Sweden.
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17
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Hollox EJ, Zuccherato LW, Tucci S. Genome structural variation in human evolution. Trends Genet 2021; 38:45-58. [PMID: 34284881 DOI: 10.1016/j.tig.2021.06.015] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 01/01/2023]
Abstract
Structural variation (SV) is a large difference (typically >100 bp) in the genomic structure of two genomes and includes both copy number variation and variation that does not change copy number of a genomic region, such as an inversion. Improved reference genomes, combined with widespread genome sequencing using short-read sequencing technology, and increasingly using long-read sequencing, have reignited interest in SV. Recent large-scale studies and functional focused analyses have highlighted the role of SV in human evolution. In this review, we highlight human-specific SVs involved in changes in the brain, population-specific SVs that affect response to the environment, including adaptation to diet and infectious diseases, and summarise the contribution of archaic hominin admixture to present-day human SV.
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Affiliation(s)
- Edward J Hollox
- Department of Genetics and Genome Biology, University of Leicester, UK.
| | - Luciana W Zuccherato
- Núcleo de Ensino e Pesquisa, Instituto Mário Penna, Belo Horizonte, Brazil; Departmento de Bioquímica e Imunologia, Universidade de Minas Gerais, Belo Horizonte, Brazil
| | - Serena Tucci
- Department of Anthropology, Yale University, New Haven, CT, USA
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18
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Ahlquist KD, Bañuelos MM, Funk A, Lai J, Rong S, Villanea FA, Witt KE. Our Tangled Family Tree: New Genomic Methods Offer Insight into the Legacy of Archaic Admixture. Genome Biol Evol 2021; 13:evab115. [PMID: 34028527 PMCID: PMC8480178 DOI: 10.1093/gbe/evab115] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/07/2021] [Accepted: 05/22/2021] [Indexed: 11/30/2022] Open
Abstract
The archaic ancestry present in the human genome has captured the imagination of both scientists and the wider public in recent years. This excitement is the result of new studies pushing the envelope of what we can learn from the archaic genetic information that has survived for over 50,000 years in the human genome. Here, we review the most recent ten years of literature on the topic of archaic introgression, including the current state of knowledge on Neanderthal and Denisovan introgression, as well as introgression from other as-yet unidentified archaic populations. We focus this review on four topics: 1) a reimagining of human demographic history, including evidence for multiple admixture events between modern humans, Neanderthals, Denisovans, and other archaic populations; 2) state-of-the-art methods for detecting archaic ancestry in population-level genomic data; 3) how these novel methods can detect archaic introgression in modern African populations; and 4) the functional consequences of archaic gene variants, including how those variants were co-opted into novel function in modern human populations. The goal of this review is to provide a simple-to-access reference for the relevant methods and novel data, which has changed our understanding of the relationship between our species and its siblings. This body of literature reveals the large degree to which the genetic legacy of these extinct hominins has been integrated into the human populations of today.
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Affiliation(s)
- K D Ahlquist
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Mayra M Bañuelos
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Alyssa Funk
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Jiaying Lai
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Brown Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
| | - Stephen Rong
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Fernando A Villanea
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Anthropology, University of Colorado Boulder, Colorado, USA
| | - Kelsey E Witt
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island, USA
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19
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Twining CW, Bernhardt JR, Derry AM, Hudson CM, Ishikawa A, Kabeya N, Kainz MJ, Kitano J, Kowarik C, Ladd SN, Leal MC, Scharnweber K, Shipley JR, Matthews B. The evolutionary ecology of fatty-acid variation: Implications for consumer adaptation and diversification. Ecol Lett 2021; 24:1709-1731. [PMID: 34114320 DOI: 10.1111/ele.13771] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 12/20/2021] [Accepted: 04/09/2021] [Indexed: 12/20/2022]
Abstract
The nutritional diversity of resources can affect the adaptive evolution of consumer metabolism and consumer diversification. The omega-3 long-chain polyunsaturated fatty acids eicosapentaenoic acid (EPA; 20:5n-3) and docosahexaenoic acid (DHA; 22:6n-3) have a high potential to affect consumer fitness, through their widespread effects on reproduction, growth and survival. However, few studies consider the evolution of fatty acid metabolism within an ecological context. In this review, we first document the extensive diversity in both primary producer and consumer fatty acid distributions amongst major ecosystems, between habitats and amongst species within habitats. We highlight some of the key nutritional contrasts that can shape behavioural and/or metabolic adaptation in consumers, discussing how consumers can evolve in response to the spatial, seasonal and community-level variation of resource quality. We propose a hierarchical trait-based approach for studying the evolution of consumers' metabolic networks and review the evolutionary genetic mechanisms underpinning consumer adaptation to EPA and DHA distributions. In doing so, we consider how the metabolic traits of consumers are hierarchically structured, from cell membrane function to maternal investment, and have strongly environment-dependent expression. Finally, we conclude with an outlook on how studying the metabolic adaptation of consumers within the context of nutritional landscapes can open up new opportunities for understanding evolutionary diversification.
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Affiliation(s)
- Cornelia W Twining
- Max Planck Institute of Animal Behavior, Radolfzell, Germany.,Limnological Institute, University of Konstanz, Konstanz-Egg, Germany
| | - Joey R Bernhardt
- Department of Biology, McGill University, Montréal, QC, Canada.,Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Alison M Derry
- Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, Canada
| | - Cameron M Hudson
- Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Asano Ishikawa
- Ecological Genetics Laboratory, National Institute of Genetics, Shizuoka, Japan
| | - Naoki Kabeya
- Department of Marine Biosciences, Tokyo University of Marine Science and Technology (TUMSAT, Tokyo, Japan
| | - Martin J Kainz
- WasserCluster Lunz-Inter-university Center for Aquatic Ecosystems Research, Lunz am See, Austria
| | - Jun Kitano
- Ecological Genetics Laboratory, National Institute of Genetics, Shizuoka, Japan
| | - Carmen Kowarik
- Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Sarah Nemiah Ladd
- Ecosystem Physiology, Albert-Ludwigs-University of Freiburg, Freiburg, Germany
| | - Miguel C Leal
- ECOMARE and CESAM - Centre for Environmental and Marine Studies and Department of Biology, University of Aveiro, Aveiro, Portugal
| | - Kristin Scharnweber
- Department of Ecology and Genetics; Limnology, Uppsala University, Uppsala, Sweden.,University of Potsdam, Plant Ecology and Nature Conservation, Potsdam-Golm, Germany
| | - Jeremy R Shipley
- Max Planck Institute of Animal Behavior, Radolfzell, Germany.,Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Blake Matthews
- Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
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20
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Pulungan A, Andarie AA, Soesanti F, Yassien MR, de Bruin C, Wijaya A, Firmansyah A, Wit JM. Anthropometric, biochemical and hormonal profiles of the partially admixed pygmoid group in Rampasasa (Flores, Indonesia). J Pediatr Endocrinol Metab 2021; 34:547-557. [PMID: 33851527 DOI: 10.1515/jpem-2020-0526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 11/22/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVES We performed a cross-sectional study on anthropometric and laboratory characteristics of inhabitants of Rampasasa (Flores, Indonesia). Adults were categorised according to ancestry into three groups: pygmoid (P/P, offspring of pygmoid parents, n=8), mixed pygmoid (P/N, offspring of pygmoid and non-pygmoid parents, n=12) and non-pygmoid (N/N, n=10). Children (n=28) were P/N. METHODS Measurements included height, weight, sitting height, arm span, head circumference, haematological analysis and serum albumin, calcium, vitamin D, insulin-like growth factor-I (IGF-I) and IGF binding protein 3 (IGFBP-3). Pubertal stage and bone age was assessed in children. Anthropometric data were expressed as standard deviation score (SDS) for age. IGF-I, IGFBP-3 and IGF-I/IGFBP-3 ratio were expressed as SDS for age, bone age and pubertal stage. RESULTS Mean height SDS showed a gradient from P/P (-4.0) via P/N (-3.2) to N/N (-2.3) (-3.4, -3.1 and -2.2 adjusted for age-associated shrinking). Sitting height and head circumference showed similar gradients. Serum IGF-I SDS was similar among groups (approximately -1 SDS). IGFBP-3 SDS tended toward a gradient from P/P (-1.9) via P/N (-1.5) to N/N (-1.1), but IGF-I/IGFBP-3 ratio was normal in all groups. In P/P and P/N, mean head circumference SDS was >2 SD greater than mean height SDS. Children showed a progressive growth failure and bone age delay, delayed female pubertal onset and an initial low serum IGF-I, normal IGFBP-3 and low IGF-I/IGFBP-3 ratio. CONCLUSIONS P/P showed proportionate short stature with relative macrocephaly and relatively low IGFBP-3; P/N presented an intermediate pattern. P/N children were progressively short, showed delayed skeletal maturation, delayed puberty in girls and low IGF-I and IGF-I/IGFBP-3.
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Affiliation(s)
- Aman Pulungan
- Department of Child Health, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | | | - Frida Soesanti
- Department of Child Health, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Muhammad Ramdhani Yassien
- Department of Child Health, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Christiaan de Bruin
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Andi Wijaya
- Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
| | - Agus Firmansyah
- Department of Child Health, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Jan M Wit
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
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21
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Widespread Denisovan ancestry in Island Southeast Asia but no evidence of substantial super-archaic hominin admixture. Nat Ecol Evol 2021; 5:616-624. [PMID: 33753899 DOI: 10.1038/s41559-021-01408-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 02/03/2021] [Indexed: 01/31/2023]
Abstract
The hominin fossil record of Island Southeast Asia (ISEA) indicates that at least two endemic 'super-archaic' species-Homo luzonensis and H. floresiensis-were present around the time anatomically modern humans arrived in the region >50,000 years ago. Intriguingly, contemporary human populations across ISEA carry distinct genomic traces of ancient interbreeding events with Denisovans-a separate hominin lineage that currently lacks a fossil record in ISEA. To query this apparent disparity between fossil and genetic evidence, we performed a comprehensive search for super-archaic introgression in >400 modern human genomes, including >200 from ISEA. Our results corroborate widespread Denisovan ancestry in ISEA populations, but fail to detect any substantial super-archaic admixture signals compatible with the endemic fossil record of ISEA. We discuss the implications of our findings for the understanding of hominin history in ISEA, including future research directions that might help to unlock more details about the prehistory of the enigmatic Denisovans.
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22
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Zhang T, Au Yeung SL, Schooling CM. Associations of Arachidonic Acid Synthesis with Cardiovascular Risk Factors and Relation to Ischemic Heart Disease and Stroke: A Univariable and Multivariable Mendelian Randomization Study. Nutrients 2021; 13:nu13051489. [PMID: 33924871 PMCID: PMC8146807 DOI: 10.3390/nu13051489] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/22/2021] [Accepted: 04/26/2021] [Indexed: 02/06/2023] Open
Abstract
Arachidonic acid (AA), a major long-chain omega-6 polyunsaturated fatty acid, is associated with ischemic heart disease (IHD) and stroke. We assessed bi-directional associations of AA synthesis reflected by plasma phospholipid AA with CVD risk factors, and identified mediators of associations of AA with IHD and stroke using Mendelian randomization (MR). We used two-sample MR to assess bi-directional associations of AA synthesis with lipids, blood pressure, adiposity, and markers of inflammation and coagulation. We used multivariable MR to assess mediators of associations of AA with IHD and stroke. Genetically predicted AA (% of total fatty acids increase) was positively associated with apolipoprotein B (ApoB, 0.022 standard deviations (SD), 95% confidence interval (CI) 0.010, 0.034), high-density (0.030 SD, 95% CI 0.012, 0.049) and low-density lipoprotein cholesterol (LDL-C, 0.016 SD, 95% CI 0.004, 0.027) and lower triglycerides (-0.031 SD, 95% CI -0.049, -0.012) but not with other traits. Genetically predicted these traits gave no association with AA. The association of AA with IHD was attenuated adjusting for ApoB or LDL-C. Genetically predicted AA was associated with lipids but not other traits. Given ApoB is thought to be the key lipid in IHD, the association of AA with IHD is likely mediated by ApoB.
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Affiliation(s)
- Ting Zhang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; (T.Z.); (S.-L.A.Y.)
| | - Shiu-Lun Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; (T.Z.); (S.-L.A.Y.)
| | - C. Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; (T.Z.); (S.-L.A.Y.)
- School of Public Health and Health Policy, City University of New York, New York, NY 10027, USA
- Correspondence:
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23
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Zhang X, Liu Q, Zhang H, Zhao S, Huang J, Sovannary T, Bunnath L, Aun HS, Samnom H, Su B, Chen H. The distinct morphological phenotypes of Southeast Asian aborigines are shaped by novel mechanisms for adaptation to tropical rainforests. Natl Sci Rev 2021; 9:nwab072. [PMID: 35371514 PMCID: PMC8970429 DOI: 10.1093/nsr/nwab072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/09/2021] [Accepted: 03/12/2021] [Indexed: 11/13/2022] Open
Abstract
Southeast Asian aborigines, the hunter-gatherer populations living in tropical rainforests, exhibit distinct morphological phenotypes, including short stature, dark skin, curly hair and a wide and snub nose. The underlying genetic architecture and evolutionary mechanism of these phenotypes remain a long-term mystery. We conducted whole genome deep sequencing of 81 Cambodian aborigines from eight ethnic groups. Through a genome-wide scan of selective sweeps, we discovered key genes harboring Cambodian-enriched mutations that may contribute to their phenotypes, including two hair morphogenesis genes (TCHH and TCHHL1), one nasal morphology gene (PAX3) and a set of genes (such as ENTPD1-AS1) associated with short stature. The identified new genes and novel mutations suggest an independent origin of the distinct phenotypes in Cambodian aborigines through parallel evolution, refuting the long-standing argument on the common ancestry of these phenotypes among the worldwide rainforest hunter-gatherers. Notably, our discovery reveals that various types of molecular mechanisms, including antisense transcription and epigenetic regulation, contribute to human morphogenesis, providing novel insights into the genetics of human environmental adaptation.
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Affiliation(s)
- Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Qi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- China National Center for Bioinformation, Beijing 100101, China
- School of Future Technology and Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Shilei Zhao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- China National Center for Bioinformation, Beijing 100101, China
- School of Future Technology and Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiahui Huang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Tuot Sovannary
- Department of Geography and Land Management, Royal University of Phnom Penh, Phnom Penh 12000, Cambodia
| | - Long Bunnath
- Department of Geography and Land Management, Royal University of Phnom Penh, Phnom Penh 12000, Cambodia
| | - Hong Seang Aun
- Department of Geography and Land Management, Royal University of Phnom Penh, Phnom Penh 12000, Cambodia
| | - Ham Samnom
- Capacity Development Facilitator for Handicap International Federation and Freelance Research, Battambang 02358, Cambodia
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Hua Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
- China National Center for Bioinformation, Beijing 100101, China
- School of Future Technology and Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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24
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Bergström A, Stringer C, Hajdinjak M, Scerri EML, Skoglund P. Origins of modern human ancestry. Nature 2021; 590:229-237. [PMID: 33568824 DOI: 10.1038/s41586-021-03244-5] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/14/2020] [Indexed: 01/30/2023]
Abstract
New finds in the palaeoanthropological and genomic records have changed our view of the origins of modern human ancestry. Here we review our current understanding of how the ancestry of modern humans around the globe can be traced into the deep past, and which ancestors it passes through during our journey back in time. We identify three key phases that are surrounded by major questions, and which will be at the frontiers of future research. The most recent phase comprises the worldwide expansion of modern humans between 40 and 60 thousand years ago (ka) and their last known contacts with archaic groups such as Neanderthals and Denisovans. The second phase is associated with a broadly construed African origin of modern human diversity between 60 and 300 ka. The oldest phase comprises the complex separation of modern human ancestors from archaic human groups from 0.3 to 1 million years ago. We argue that no specific point in time can currently be identified at which modern human ancestry was confined to a limited birthplace, and that patterns of the first appearance of anatomical or behavioural traits that are used to define Homo sapiens are consistent with a range of evolutionary histories.
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Affiliation(s)
- Anders Bergström
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Chris Stringer
- Department of Earth Sciences, Natural History Museum, London, UK.
| | - Mateja Hajdinjak
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Eleanor M L Scerri
- Pan-African Evolution Research Group, Max Planck Institute for Science of Human History, Jena, Germany.,Department of Classics and Archaeology, University of Malta, Msida, Malta.,Institute of Prehistoric Archaeology, University of Cologne, Cologne, Germany
| | - Pontus Skoglund
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
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25
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Chen M, Sidore C, Akiyama M, Ishigaki K, Kamatani Y, Schlessinger D, Cucca F, Okada Y, Chiang CWK. Evidence of Polygenic Adaptation in Sardinia at Height-Associated Loci Ascertained from the Biobank Japan. Am J Hum Genet 2020; 107:60-71. [PMID: 32533944 PMCID: PMC7332648 DOI: 10.1016/j.ajhg.2020.05.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 05/19/2020] [Indexed: 01/31/2023] Open
Abstract
Adult height is one of the earliest putative examples of polygenic adaptation in humans. However, this conclusion was recently challenged because residual uncorrected stratification from large-scale consortium studies was considered responsible for the previously noted genetic difference. It thus remains an open question whether height loci exhibit signals of polygenic adaptation in any human population. We re-examined this question, focusing on one of the shortest European populations, the Sardinians, in addition to mainland European populations. We utilized height-associated loci from the Biobank Japan (BBJ) dataset to further alleviate concerns of biased ascertainment of GWAS loci and showed that the Sardinians remain significantly shorter than expected under neutrality (∼0.22 standard deviation shorter than Utah residents with ancestry from northern and western Europe [CEU] on the basis of polygenic height scores, p = 3.89 × 10-4). We also found the trajectory of polygenic height scores between the Sardinian and the British populations diverged over at least the last 10,000 years (p = 0.0082), consistent with a signature of polygenic adaptation driven primarily by the Sardinian population. Although the polygenic score-based analysis showed a much subtler signature in mainland European populations, we found a clear and robust adaptive signature in the UK population by using a haplotype-based statistic, the trait singleton density score (tSDS), driven by the height-increasing alleles (p = 9.1 × 10-4). In summary, by ascertaining height loci in a distant East Asian population, we further supported the evidence of polygenic adaptation at height-associated loci among the Sardinians. In mainland Europeans, the adaptive signature was detected in haplotype-based analysis but not in polygenic score-based analysis.
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Affiliation(s)
- Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato 09042, Cagliari, Italy
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, US National Institutes of Health, Baltimore, MD 21224, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato 09042, Cagliari, Italy
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
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26
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Sankararaman S. Methods for detecting introgressed archaic sequences. Curr Opin Genet Dev 2020; 62:85-90. [PMID: 32717667 PMCID: PMC7484293 DOI: 10.1016/j.gde.2020.05.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/12/2020] [Accepted: 05/22/2020] [Indexed: 11/16/2022]
Abstract
Analysis of genome sequences from archaic and modern humans have revealed multiple episodes of admixture between highly-diverged population groups. Statistical methods that attempt to localize DNA segments introduced by these events offer a powerful tool to investigate recent human evolution. We review recent advances in methods for detecting introgressed sequences.
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Affiliation(s)
- Sriram Sankararaman
- Department of Computer Science, University of California, Los Angeles, CA 90095, United States; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States; Department of Computational Medicine, University of California, Los Angeles, CA 90095, United States.
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27
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Mathieson I. Human adaptation over the past 40,000 years. Curr Opin Genet Dev 2020; 62:97-104. [PMID: 32745952 PMCID: PMC7484260 DOI: 10.1016/j.gde.2020.06.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/10/2020] [Accepted: 06/01/2020] [Indexed: 02/07/2023]
Abstract
Over the past few years several methodological and data-driven advances have greatly improved our ability to robustly detect genomic signatures of selection in humans. New methods applied to large samples of present-day genomes provide increased power, while ancient DNA allows precise estimation of timing and tempo. However, despite these advances, we are still limited in our ability to translate these signatures into understanding about which traits were actually under selection, and why. Combining information from different populations and timescales may allow interpretation of selective sweeps. Other modes of selection have proved more difficult to detect. In particular, despite strong evidence of the polygenicity of most human traits, evidence for polygenic selection is weak, and its importance in recent human evolution remains unclear. Balancing selection and archaic introgression seem important for the maintenance of potentially adaptive immune diversity, but perhaps less so for other traits.
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Affiliation(s)
- Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, United States.
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28
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Uricchio LH. Evolutionary perspectives on polygenic selection, missing heritability, and GWAS. Hum Genet 2020; 139:5-21. [PMID: 31201529 PMCID: PMC8059781 DOI: 10.1007/s00439-019-02040-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 06/06/2019] [Indexed: 12/26/2022]
Abstract
Genome-wide association studies (GWAS) have successfully identified many trait-associated variants, but there is still much we do not know about the genetic basis of complex traits. Here, we review recent theoretical and empirical literature regarding selection on complex traits to argue that "missing heritability" is as much an evolutionary problem as it is a statistical problem. We discuss empirical findings that suggest a role for selection in shaping the effect sizes and allele frequencies of causal variation underlying complex traits, and the limitations of these studies. We then use simulations of selection, realistic genome structure, and complex human demography to illustrate the results of recent theoretical work on polygenic selection, and show that statistical inference of causal loci is sharply affected by evolutionary processes. In particular, when selection acts on causal alleles, it hampers the ability to detect causal loci and constrains the transferability of GWAS results across populations. Last, we discuss the implications of these findings for future association studies, and suggest that future statistical methods to infer causal loci for genetic traits will benefit from explicit modeling of the joint distribution of effect sizes and allele frequencies under plausible evolutionary models.
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Affiliation(s)
- Lawrence H Uricchio
- Department of Biology, Stanford University, Stanford, CA, USA.
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
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29
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Harris DN, Ruczinski I, Yanek LR, Becker LC, Becker DM, Guio H, Cui T, Chilton FH, Mathias RA, O'Connor TD. Evolution of Hominin Polyunsaturated Fatty Acid Metabolism: From Africa to the New World. Genome Biol Evol 2019; 11:1417-1430. [PMID: 30942856 PMCID: PMC6514828 DOI: 10.1093/gbe/evz071] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2019] [Indexed: 12/23/2022] Open
Abstract
The metabolic conversion of dietary omega-3 and omega-6 18 carbon (18C) to long chain (>20 carbon) polyunsaturated fatty acids (LC-PUFAs) is vital for human life. The rate-limiting steps of this process are catalyzed by fatty acid desaturase (FADS) 1 and 2. Therefore, understanding the evolutionary history of the FADS genes is essential to our understanding of hominin evolution. The FADS genes have two haplogroups, ancestral and derived, with the derived haplogroup being associated with more efficient LC-PUFA biosynthesis than the ancestral haplogroup. In addition, there is a complex global distribution of these haplogroups that is suggestive of Neanderthal introgression. We confirm that Native American ancestry is nearly fixed for the ancestral haplogroup, and replicate a positive selection signal in Native Americans. This positive selection potentially continued after the founding of the Americas, although simulations suggest that the timing is dependent on the allele frequency of the ancestral Beringian population. We also find that the Neanderthal FADS haplotype is more closely related to the derived haplogroup and the Denisovan clusters closer to the ancestral haplogroup. Furthermore, the derived haplogroup has a time to the most recent common ancestor of 688,474 years before present. These results support an ancient polymorphism, as opposed to Neanderthal introgression, forming in the FADS region during the Pleistocene with possibly differential selection pressures on both haplogroups. The near fixation of the ancestral haplogroup in Native American ancestry calls for future studies to explore the potential health risk of associated low LC-PUFA levels in these populations.
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Affiliation(s)
- Daniel N Harris
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland.,Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.,Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Lisa R Yanek
- GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lewis C Becker
- GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Diane M Becker
- GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Heinner Guio
- Laboratorio de Biología Molecular, Instituto Nacional de Salud, Lima, Perú
| | - Tao Cui
- Department of Urology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Floyd H Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, Arizona
| | - Rasika A Mathias
- GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Timothy D O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland.,Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.,Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland
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30
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Samper Carro SC, Gilbert F, Bulbeck D, O'Connor S, Louys J, Spooner N, Questiaux D, Arnold L, Price GJ, Wood R, Mahirta. Somewhere beyond the sea: Human cranial remains from the Lesser Sunda Islands (Alor Island, Indonesia) provide insights on Late Pleistocene peopling of Island Southeast Asia. J Hum Evol 2019; 134:102638. [PMID: 31446971 DOI: 10.1016/j.jhevol.2019.07.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 07/05/2019] [Accepted: 07/06/2019] [Indexed: 01/29/2023]
Abstract
The migration of anatomically modern humans (AMH) from Africa to every inhabitable continent included their dispersal through Island Southeast Asia (ISEA) to Australia. Significantly, this involved overwater dispersal through the Lesser Sunda Islands between Sunda (continental Southeast Asia) and Sahul (Australia and New Guinea). However, the timing and direction of this movement is still debated. Here, we report on human skeletal material recovered from excavations at two rockshelters, known locally as Tron Bon Lei, on Alor Island, Indonesia. The remains, dated to the Late Pleistocene, are the first anatomically modern human remains recovered in Wallacea dated to this period and are associated with cultural material demonstrating intentional burial. The human remains from Tron Bon Lei represent a population osteometrically distinct from Late Pleistocene Sunda and Sahul AMH. Instead, morphometrically, they appear more similar to Holocene populations in the Lesser Sundas. Thus, they may represent the remains of a population originally from Sunda whose Lesser Sunda Island descendants survived into the Holocene.
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Affiliation(s)
- Sofía C Samper Carro
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, 2601, Australia; School of Archaeology and Anthropology, College of Arts and Social Sciences, Australian National University, Canberra, 2601, Australia; Centre d'Estudis del Patrimoni Arqueològic de la Prehistòria, Facultat de Lletres-Edifici B, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
| | - Felicity Gilbert
- School of Archaeology and Anthropology, College of Arts and Social Sciences, Australian National University, Canberra, 2601, Australia
| | - David Bulbeck
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, 2601, Australia
| | - Sue O'Connor
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, 2601, Australia; ARC Centre of Excellence for Australian Biodiversity and Heritage, Australian National University, Canberra, 2601, Australia
| | - Julien Louys
- Australian Research Centre of Human Evolution (ARCHE), Environmental Futures Research Institute, Griffith University, Nathan, 4111, Australia
| | - Nigel Spooner
- Institute for Photonics and Advanced Sensing & School of Physical Sciences, University of Adelaide, SA, 5005, Australia; Defence Science and Technology Group, PO Box 1500, Edinburgh, SA, 5111, UK
| | - Danielle Questiaux
- Institute for Photonics and Advanced Sensing & School of Physical Sciences, University of Adelaide, SA, 5005, Australia
| | - Lee Arnold
- Institute for Photonics and Advanced Sensing & School of Physical Sciences, University of Adelaide, SA, 5005, Australia
| | - Gilbert J Price
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, 4072, Australia
| | - Rachel Wood
- Earth Chemistry, Research School of Earth Sciences, Australian National University, Canberra, 2601, Australia
| | - Mahirta
- Jurusan Arkeologi, Fakultas Ilmu Budaya, Universitas Gadja Madja, Bulaksumur, Yogjakarta, 55281, Indonesia
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31
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Lee KM, Coop G. Population genomics perspectives on convergent adaptation. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180236. [PMID: 31154979 PMCID: PMC6560269 DOI: 10.1098/rstb.2018.0236] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2018] [Indexed: 01/12/2023] Open
Abstract
Convergent adaptation is the independent evolution of similar traits conferring a fitness advantage in two or more lineages. Cases of convergent adaptation inform our ideas about the ecological and molecular basis of adaptation. In judging the degree to which putative cases of convergent adaptation provide an independent replication of the process of adaptation, it is necessary to establish the degree to which the evolutionary change is unexpected under null models and to show that selection has repeatedly, independently driven these changes. Here, we discuss the issues that arise from these questions particularly for closely related populations, where gene flow and standing variation add additional layers of complexity. We outline a conceptual framework to guide intuition as to the extent to which evolutionary change represents the independent gain of information owing to selection and show that this is a measure of how surprised we should be by convergence. Additionally, we summarize the ways population and quantitative genetics and genomics may help us address questions related to convergent adaptation, as well as open new questions and avenues of research. This article is part of the theme issue 'Convergent evolution in the genomics era: new insights and directions'.
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Affiliation(s)
- Kristin M. Lee
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Graham Coop
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
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32
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Nakayama K, Inaba Y. Genetic variants influencing obesity-related traits in Japanese population. Ann Hum Biol 2019; 46:298-304. [PMID: 31307227 DOI: 10.1080/03014460.2019.1644373] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Context: Adipose tissue is the main organ that stores energy and participates in adaptive thermogenesis of the human body. The adipose tissue content in an individual is determined by a combination of genetic factors and lifestyle related factors. While Japanese people, along with the closely related East Asians, are generally thinner than individuals of European ancestry, they are prone to accumulating visceral adipose tissues. Genome-wide discovery of loci influencing obesity-related traits, and application of the genome sequence data to assess natural selection, provides evidence that the obesity-related traits in East Asians might be shaped by natural selection. Objective: This review aims to summarise health and evolutionary implications of genetic variants influencing obesity-related traits in Japanese. Methods: This study gathered recently published papers of medical, genetic and evolutionary studies regarding obesity-related traits in the Japanese and closely related East Asians. Results and conclusion: A high susceptibility to central obesity of Japanese and closely related East Asians might have been shaped by natural selection favouring thrifty genotypes. Moreover, natural selection favouring higher thermogenic activity of brown adipose tissues would contribute to increased non-thrifty alleles in ancestors of East Asians.
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Affiliation(s)
- Kazuhiro Nakayama
- Laboratory of Evolutionary Anthropology, Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo , Chiba , Japan
| | - Yuta Inaba
- Laboratory of Evolutionary Anthropology, Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo , Chiba , Japan
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Abstract
The dispersal of anatomically modern human populations out of Africa and across much of the rest of the world around 55 to 50 thousand years before present (ka) is recorded genetically by the multiple hominin groups they met and interbred with along the way, including the Neandertals and Denisovans. The signatures of these introgression events remain preserved in the genomes of modern-day populations, and provide a powerful record of the sequence and timing of these early migrations, with Asia proving a particularly complex area. At least 3 different hominin groups appear to have been involved in Asia, of which only the Denisovans are currently known. Several interbreeding events are inferred to have taken place east of Wallace's Line, consistent with archaeological evidence of widespread and early hominin presence in the area. However, archaeological and fossil evidence indicates archaic hominins had not spread as far as the Sahul continent (New Guinea, Australia, and Tasmania), where recent genetic evidence remains enigmatic.
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Jacobs GS, Hudjashov G, Saag L, Kusuma P, Darusallam CC, Lawson DJ, Mondal M, Pagani L, Ricaut FX, Stoneking M, Metspalu M, Sudoyo H, Lansing JS, Cox MP. Multiple Deeply Divergent Denisovan Ancestries in Papuans. Cell 2019; 177:1010-1021.e32. [DOI: 10.1016/j.cell.2019.02.035] [Citation(s) in RCA: 137] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 01/07/2019] [Accepted: 02/21/2019] [Indexed: 12/29/2022]
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Martin MA. Biological Anthropology in 2018: Grounded in Theory, Questioning Contexts, Embracing Innovation. AMERICAN ANTHROPOLOGIST 2019. [DOI: 10.1111/aman.13233] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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