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Amstler S, Streiter G, Pfurtscheller C, Forer L, Di Maio S, Weissensteiner H, Paulweber B, Schönherr S, Kronenberg F, Coassin S. Nanopore sequencing with unique molecular identifiers enables accurate mutation analysis and haplotyping in the complex lipoprotein(a) KIV-2 VNTR. Genome Med 2024; 16:117. [PMID: 39380090 PMCID: PMC11462820 DOI: 10.1186/s13073-024-01391-8] [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: 03/06/2024] [Accepted: 10/01/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Repetitive genome regions, such as variable number of tandem repeats (VNTR) or short tandem repeats (STR), are major constituents of the uncharted dark genome and evade conventional sequencing approaches. The protein-coding LPA kringle IV type-2 (KIV-2) VNTR (5.6 kb per unit, 1-40 units per allele) is a medically highly relevant example with a particularly intricate structure, multiple haplotypes, intragenic homologies, and an intra-VNTR STR. It is the primary regulator of plasma lipoprotein(a) [Lp(a)] concentrations, an important cardiovascular risk factor. Lp(a) concentrations vary widely between individuals and ancestries. Multiple variants and functional haplotypes in the LPA gene and especially in the KIV-2 VNTR strongly contribute to this variance. METHODS We evaluated the performance of amplicon-based nanopore sequencing with unique molecular identifiers (UMI-ONT-Seq) for SNP detection, haplotype mapping, VNTR unit consensus sequence generation, and copy number estimation via coverage-corrected haplotypes quantification in the KIV-2 VNTR. We used 15 human samples and low-level mixtures (0.5 to 5%) of KIV-2 plasmids as a validation set. We then applied UMI-ONT-Seq to extract KIV-2 VNTR haplotypes in 48 multi-ancestry 1000 Genome samples and analyzed at scale a poorly characterized STR within the KIV-2 VNTR. RESULTS UMI-ONT-Seq detected KIV-2 SNPs down to 1% variant level with high sensitivity, specificity, and precision (0.977 ± 0.018; 1.000 ± 0.0005; 0.993 ± 0.02) and accurately retrieved the full-length haplotype of each VNTR unit. Human variant levels were highly correlated with next-generation sequencing (R2 = 0.983) without bias across the whole variant level range. Six reads per UMI produced sequences of each KIV-2 unit with Q40 quality. The KIV-2 repeat number determined by coverage-corrected unique haplotype counting was in close agreement with droplet digital PCR (ddPCR), with 70% of the samples falling even within the narrow confidence interval of ddPCR. We then analyzed 62,679 intra-KIV-2 STR sequences and explored KIV-2 SNP haplotype patterns across five ancestries. CONCLUSIONS UMI-ONT-Seq accurately retrieves the SNP haplotype and precisely quantifies the VNTR copy number of each repeat unit of the complex KIV-2 VNTR region across multiple ancestries. This study utilizes the KIV-2 VNTR, presenting a novel and potent tool for comprehensive characterization of medically relevant complex genome regions at scale.
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Affiliation(s)
- Stephan Amstler
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gertraud Streiter
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Cathrin Pfurtscheller
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Silvia Di Maio
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hansi Weissensteiner
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bernhard Paulweber
- Department of Internal Medicine I, Paracelsus Medical University, Salzburg, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
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2
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Scheib CL, Hui R, Rose AK, D’Atanasio E, Inskip SA, Dittmar J, Cessford C, Griffith SJ, Solnik A, Wiseman R, Neil B, Biers T, Harknett SJ, Sasso S, Biagini SA, Runfeldt G, Duhig C, Evans C, Metspalu M, Millett MJ, O’Connell TC, Robb JE, Kivisild T. Low Genetic Impact of the Roman Occupation of Britain in Rural Communities. Mol Biol Evol 2024; 41:msae168. [PMID: 39268685 PMCID: PMC11393495 DOI: 10.1093/molbev/msae168] [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: 09/04/2023] [Revised: 07/25/2024] [Accepted: 08/07/2024] [Indexed: 09/17/2024] Open
Abstract
The Roman period saw the empire expand across Europe and the Mediterranean, including much of what is today Great Britain. While there is written evidence of high mobility into and out of Britain for administrators, traders, and the military, the impact of imperialism on local, rural population structure, kinship, and mobility is invisible in the textual record. The extent of genetic change that occurred in Britain during the Roman military occupation remains underexplored. Here, using genome-wide data from 52 ancient individuals from eight sites in Cambridgeshire covering the period of Roman occupation, we show low levels of genetic ancestry differentiation between Romano-British sites and indications of larger populations than in the Bronze Age and Neolithic. We find no evidence of long-distance migration from elsewhere in the Empire, though we do find one case of possible temporary mobility within a family unit during the Late Romano-British period. We also show that the present-day patterns of genetic ancestry composition in Britain emerged after the Roman period.
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Affiliation(s)
- Christiana L Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu Tartu 51010, Estonia
- St John's College, University of Cambridge, Cambridge CB2 1TP, UK
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
| | - Ruoyun Hui
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
- Alan Turing Institute, British Library, London NW1 2DB, UK
| | - Alice K Rose
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
| | - Eugenia D’Atanasio
- Institute of Molecular Biology and Pathology, IBPM CNR, Rome 00185, Italy
| | - Sarah A Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
- School of Archaeology and Ancient History, University of Leicester, University Road, Leicester LE1 7RH, UK
| | - Jenna Dittmar
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
| | - Craig Cessford
- Cambridge Archaeological Unit, Department of Archaeology, University of Cambridge, Cambridge CB3 0DT, UK
| | - Samuel J Griffith
- Estonian Biocentre, Institute of Genomics, University of Tartu Tartu 51010, Estonia
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Rob Wiseman
- Core Facility, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Benjamin Neil
- Core Facility, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Trish Biers
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | | | - Stefania Sasso
- Estonian Biocentre, Institute of Genomics, University of Tartu Tartu 51010, Estonia
| | - Simone A Biagini
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain
- Department of Human Genetics, KU Leuven, 3000 Leuven, Belgium
| | | | - Corinne Duhig
- Wolfson College, University of Cambridge, Cambridge CB3 9BB, UK
| | - Christopher Evans
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu Tartu 51010, Estonia
| | - Martin J Millett
- Faculty of Classics, University of Cambridge, Cambridge CB3 9DA, UK
| | - Tamsin C O’Connell
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - John E Robb
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu Tartu 51010, Estonia
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge CB2 3ER, UK
- Department of Human Genetics, KU Leuven, 3000 Leuven, Belgium
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3
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Wang M, Huang Y, Liu K, Wang Z, Zhang M, Yuan H, Duan S, Wei L, Yao H, Sun Q, Zhong J, Tang R, Chen J, Sun Y, Li X, Su H, Yang Q, Hu L, Yun L, Yang J, Nie S, Cai Y, Yan J, Zhou K, Wang C, Zhu B, Liu C, He G. Multiple Human Population Movements and Cultural Dispersal Events Shaped the Landscape of Chinese Paternal Heritage. Mol Biol Evol 2024; 41:msae122. [PMID: 38885310 PMCID: PMC11232699 DOI: 10.1093/molbev/msae122] [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: 08/29/2023] [Revised: 05/30/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
Large-scale genomic projects and ancient DNA innovations have ushered in a new paradigm for exploring human evolutionary history. However, the genetic legacy of spatiotemporally diverse ancient Eurasians within Chinese paternal lineages remains unresolved. Here, we report an integrated Y-chromosome genomic database encompassing 15,563 individuals from both modern and ancient Eurasians, including 919 newly reported individuals, to investigate the Chinese paternal genomic diversity. The high-resolution, time-stamped phylogeny reveals multiple diversification events and extensive expansions in the early and middle Neolithic. We identify four major ancient population movements, each associated with technological innovations that have shaped the Chinese paternal landscape. First, the expansion of early East Asians and millet farmers from the Yellow River Basin predominantly carrying O2/D subclades significantly influenced the formation of the Sino-Tibetan people and facilitated the permanent settlement of the Tibetan Plateau. Second, the dispersal of rice farmers from the Yangtze River Valley carrying O1 and certain O2 sublineages reshapes the genetic makeup of southern Han Chinese, as well as the Tai-Kadai, Austronesian, Hmong-Mien, and Austroasiatic people. Third, the Neolithic Siberian Q/C paternal lineages originated and proliferated among hunter-gatherers on the Mongolian Plateau and the Amur River Basin, leaving a significant imprint on the gene pools of northern China. Fourth, the J/G/R paternal lineages derived from western Eurasia, which were initially spread by Yamnaya-related steppe pastoralists, maintain their presence primarily in northwestern China. Overall, our research provides comprehensive genetic evidence elucidating the significant impact of interactions with culturally distinct ancient Eurasians on the patterns of paternal diversity in modern Chinese populations.
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Affiliation(s)
- 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
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
| | - Kaijun Liu
- School of International Tourism and Culture, Guizhou Normal University, Guiyang 550025, China
- MoFang Human Genome Research Institute, Tianfu Software Park, Chengdu, Sichuan 610042, 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
| | - Menghan Zhang
- Institute of Modern Languages and Linguistics, Fudan University, Shanghai 200433, China
- Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
| | - Haibing Yuan
- Center for Archaeological Science, Sichuan University, Chengdu 610000, 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
| | - Lanhai Wei
- School of Ethnology and Anthropology, Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot 010022, China
| | - Hongbing Yao
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou 730000, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Jie Zhong
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, 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
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & 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
| | - Haoran Su
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu 610000, China
- School of Laboratory Medicine and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Qingxin Yang
- 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
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Libing Yun
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Junbao Yang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Yan Cai
- School of Laboratory Medicine and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong 030001, China
| | - Kun Zhou
- MoFang Human Genome Research Institute, Tianfu Software Park, Chengdu, Sichuan 610042, China
| | - Chuanchao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Chao Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, 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
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4
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Fan H, Xu Y, Zhao Y, Feng K, Hong L, Zhao Q, Lu X, Shi M, Li H, Wang L, Wen S. Development and validation of YARN: A novel SE-400 MPS kit for East Asian paternal lineage analysis. Forensic Sci Int Genet 2024; 71:103029. [PMID: 38518712 DOI: 10.1016/j.fsigen.2024.103029] [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: 07/29/2023] [Revised: 02/12/2024] [Accepted: 03/03/2024] [Indexed: 03/24/2024]
Abstract
Y-chromosomal short tandem repeat polymorphisms (Y-STRs) and Y-chromosomal single nucleotide polymorphisms (Y-SNPs) are valuable genetic markers used in paternal lineage identification and population genetics. Currently, there is a lack of an effective panel that integrates Y-STRs and Y-SNPs for studying paternal lineages, particularly in East Asian populations. Hence, we developed a novel Y-chromosomal targeted panel called YARN (Y-chromosome Ancestry and Region Network) based on multiplex PCR and a single-end 400 massive parallel sequencing (MPS) strategy, consisting of 44 patrilineage Y-STRs and 260 evolutionary Y-SNPs. A total of 386 reactions were validated for the effectiveness and applicability of YARN according to SWGDAM validation guidelines, including sensitivity (with a minimum input gDNA of 0.125 ng), mixture identification (ranging from 1:1-1:10), PCR inhibitor testing (using substances such as 50 μM hematin, 100 μM hemoglobin, 100 μM humic acid, and 2.5 mM indigo dye), species specificity (successfully distinguishing humans from other animals), repeatability study (achieved 100% accuracy), and concordance study (with 99.91% accuracy for 1121 Y-STR alleles). Furthermore, we conducted a pilot study using YARN in a cohort of 484 Han Chinese males from Huaiji County, Zhaoqing City, Guangdong, China (GDZQHJ cohort). In this cohort, we identified 52 different Y-haplogroups and 73 different surnames. We found weak to moderate correlations between the Y-haplogroups, Chinese surnames, and geographical locations of the GDZQHJ cohort (with λ values ranging from 0.050 to 0.340). However, when we combined two different categories into a new independent variable, we observed stronger correlations (with λ values ranging from 0.617 to 0.754). Overall, the YARN panel, which combines Y-STR and Y-SNP genetic markers, meets forensic DNA quality assurance guidelines and holds potential for East Asian geographical origin inference and paternal lineage analysis.
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Affiliation(s)
- Haoliang Fan
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
| | - Yiran Xu
- Institute of Archaeological Science, Fudan University, Shanghai 200433, China.
| | - Yutao Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Kai Feng
- Duanzhou Branch of Zhaoqing Public Security Bureau, Zhaoqing 526060, China.
| | - Liuxi Hong
- Sihui Public Security Bureau of Guangdong Province, Zhaoqing 526299, China.
| | - Qiancheng Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Xiaoyu Lu
- Deepreads Biotech Company Limited, Guangzhou 510663, China.
| | - Meisen Shi
- Criminal Justice College of China University of Political Science and Law, Beijing 100088, China.
| | - Haiyan Li
- Criminal Technology Center of Guangdong Provincial Public Security Department, Guangzhou 510050, China.
| | - Lingxiang Wang
- MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
| | - Shaoqing Wen
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; Institute of Archaeological Science, Fudan University, Shanghai 200433, China; MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
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5
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Pathak AK, Simonian H, Ibrahim IAA, Hrechdakian P, Behar DM, Ayub Q, Arsanov P, Metspalu E, Yepiskoposyan L, Rootsi S, Endicott P, Villems R, Sahakyan H. Human Y chromosome haplogroup L1-M22 traces Neolithic expansion in West Asia and supports the Elamite and Dravidian connection. iScience 2024; 27:110016. [PMID: 38883810 PMCID: PMC11177204 DOI: 10.1016/j.isci.2024.110016] [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: 01/12/2024] [Revised: 04/06/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024] Open
Abstract
West and South Asian populations profoundly influenced Eurasian genetic and cultural diversity. We investigate the genetic history of the Y chromosome haplogroup L1-M22, which, while prevalent in these regions, lacks in-depth study. Robust Bayesian analyses of 165 high-coverage Y chromosomes favor a West Asian origin for L1-M22 ∼20.6 thousand years ago (kya). Moreover, this haplogroup parallels the genome-wide genetic ancestry of hunter-gatherers from the Iranian Plateau and the Caucasus. We characterized two L1-M22 harboring population groups during the Early Holocene. One expanded with the West Asian Neolithic transition. The other moved to South Asia ∼8-6 kya but showed no expansion. This group likely participated in the spread of Dravidian languages. These South Asian L1-M22 lineages expanded ∼4-3 kya, coinciding with the Steppe ancestry introduction. Our findings advance the current understanding of Eurasian historical dynamics, emphasizing L1-M22's West Asian origin, associated population movements, and possible linguistic impacts.
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Affiliation(s)
- Ajai Kumar Pathak
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
- Department of Human Genetics, KU Leuven, 3000 Leuven, Belgium
| | - Hovann Simonian
- Armenian DNA Project at Family Tree DNA, Houston, TX 77008, USA
| | - Ibrahim Abdel Aziz Ibrahim
- Department of Pharmacology and Toxicology, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | | | - Doron M Behar
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Qasim Ayub
- Monash University Malaysia Genomics Platform, School of Science, Monash University, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia
| | - Pakhrudin Arsanov
- Chechen-Noahcho DNA Project at Family Tree DNA, Kostanay 110008, Kazakhstan
| | - Ene Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Levon Yepiskoposyan
- Laboratory of Evolutionary Genomics, Institute of Molecular Biology of National Academy of Sciences of the Republic of Armenia, Yerevan 0014, Armenia
| | - Siiri Rootsi
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Phillip Endicott
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
- Department of Archaeology and Anthropology, Bournemouth University, Fern Barrow, Poole, Dorset BH12 5BB, UK
- Department of Linguistics, University of Hawai'i at Mānoa, Honolulu, Hawai'i 96822, USA
- DFG Center for Advanced Studies, University of Tübingen, 72074 Tübingen, Germany
| | - Richard Villems
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Hovhannes Sahakyan
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
- Laboratory of Evolutionary Genomics, Institute of Molecular Biology of National Academy of Sciences of the Republic of Armenia, Yerevan 0014, Armenia
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Bozlak E, Pokharel K, Weldenegodguad M, Paasivaara A, Stammler F, Røed KH, Kantanen J, Wallner B. Inferences about the population history of Rangifer tarandus from Y chromosome and mtDNA phylogenies. Ecol Evol 2024; 14:e11573. [PMID: 38863721 PMCID: PMC11164974 DOI: 10.1002/ece3.11573] [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: 01/30/2024] [Revised: 05/27/2024] [Accepted: 05/30/2024] [Indexed: 06/13/2024] Open
Abstract
Reindeer, called caribou in North America, has a circumpolar distribution and all extant populations belong to the same species (Rangifer tarandus). It has survived the Holocene thanks to its immense adaptability and successful coexistence with humans in different forms of hunting and herding cultures. Here, we examine the paternal and maternal history of Rangifer based on robust Y-chromosomal and mitochondrial DNA (mtDNA) trees representing Eurasian tundra reindeer, Finnish forest reindeer, Svalbard reindeer, Alaska tundra caribou, and woodland caribou. We first assembled Y-chromosomal contigs, representing 1.3 Mb of single-copy Y regions. Based on 545 Y-chromosomal and 458 mtDNA SNPs defined in 55 males, maximum parsimony trees were created. We observed two well separated clades in both phylogenies: the "EuroBeringian clade" formed by animals from Arctic Islands, Eurasia, and a few from North America and the "North American clade" formed only by caribou from North America. The time calibrated Y tree revealed an expansion and dispersal of lineages across continents after the Last Glacial Maximum. We show for the first time unique paternal lineages in Svalbard reindeer and Finnish forest reindeer and reveal a circumscribed Y haplogroup in Fennoscandian tundra reindeer. The Y chromosome in domesticated reindeer is markedly diverse indicating that several male lineages have undergone domestication and less intensive selection on males. This study places R. tarandus onto the list of species with resolved Y and mtDNA phylogenies and builds the basis for studies of the distribution and origin of paternal and maternal lineages in the future.
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Affiliation(s)
- Elif Bozlak
- Department of Biomedical Sciences, Institute of Animal Breeding and GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
- Vienna Graduate School of Population GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
| | | | | | | | | | - Knut H. Røed
- Department of Preclinical Sciences and PathologyNorwegian University of Life SciencesÅsNorway
| | | | - Barbara Wallner
- Department of Biomedical Sciences, Institute of Animal Breeding and GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
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7
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Wang Z, Wang M, Hu L, He G, Nie S. Evolutionary profiles and complex admixture landscape in East Asia: New insights from modern and ancient Y chromosome variation perspectives. Heliyon 2024; 10:e30067. [PMID: 38756579 PMCID: PMC11096704 DOI: 10.1016/j.heliyon.2024.e30067] [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: 12/07/2023] [Revised: 04/08/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Human Y-chromosomes are characterized by nonrecombination and uniparental inheritance, carrying traces of human history evolution and admixture. Large-scale population-specific genomic sources based on advanced sequencing technologies have revolutionized our understanding of human Y chromosome diversity and its anthropological and forensic applications. Here, we reviewed and meta-analyzed the Y chromosome genetic diversity of modern and ancient people from China and summarized the patterns of founding lineages of spatiotemporally different populations associated with their origin, expansion, and admixture. We emphasized the strong association between our identified founding lineages and language-related human dispersal events correlated with the Sino-Tibetan, Altaic, and southern Chinese multiple-language families related to the Hmong-Mien, Tai-Kadai, Austronesian, and Austro-Asiatic languages. We subsequently summarize the recent advances in translational applications in forensic and anthropological science, including paternal biogeographical ancestry inference (PBGAI), surname investigation, and paternal history reconstruction. Whole-Y sequencing or high-resolution panels with high coverage of terminal Y chromosome lineages are essential for capturing the genomic diversity of ethnolinguistically diverse East Asians. Generally, we emphasized the importance of including more ethnolinguistically diverse, underrepresented modern and spatiotemporally different ancient East Asians in human genetic research for a comprehensive understanding of the paternal genetic landscape of East Asians with a detailed time series and for the reconstruction of a reference database in the PBGAI, even including new technology innovations of Telomere-to-Telomere (T2T) for new genetic variation discovery.
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Affiliation(s)
- Zhiyong Wang
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Center for Archaeological Science, 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
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510275, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, 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
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
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8
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Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post-Neolithic Y-chromosome bottleneck. Nat Commun 2024; 15:3243. [PMID: 38658560 PMCID: PMC11043392 DOI: 10.1038/s41467-024-47618-5] [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: 07/20/2023] [Accepted: 04/08/2024] [Indexed: 04/26/2024] Open
Abstract
Studies have found a pronounced decline in male effective population sizes worldwide around 3000-5000 years ago. This bottleneck was not observed for female effective population sizes, which continued to increase over time. Until now, this remarkable genetic pattern was interpreted as the result of an ancient structuring of human populations into patrilineal groups (gathering closely related males) violently competing with each other. In this scenario, violence is responsible for the repeated extinctions of patrilineal groups, leading to a significant reduction in male effective population size. Here, we propose an alternative hypothesis by modelling a segmentary patrilineal system based on anthropological literature. We show that variance in reproductive success between patrilineal groups, combined with lineal fission (i.e., the splitting of a group into two new groups of patrilineally related individuals), can lead to a substantial reduction in the male effective population size without resorting to the violence hypothesis. Thus, a peaceful explanation involving ancient changes in social structures, linked to global changes in subsistence systems, may be sufficient to explain the reported decline in Y-chromosome diversity.
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Affiliation(s)
- Léa Guyon
- Eco-Anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Paris, 75116, France.
| | - Jérémy Guez
- Eco-Anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Paris, 75116, France
- Université Paris-Saclay, CNRS, INRIA, Laboratoire Interdisciplinaire des Sciences du Numérique, Orsay, 91400, France
| | - Bruno Toupance
- Eco-Anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Paris, 75116, France
- Université Paris Cité, Eco-anthropologie, Paris, F-75006, France
| | - Evelyne Heyer
- Eco-Anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Paris, 75116, France
| | - Raphaëlle Chaix
- Eco-Anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Paris, 75116, France.
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9
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Sequeira JJ, Vinuthalakshmi K, Das R, van Driem G, Mustak MS. The maternal U1 haplogroup in the Koraga tribe as a correlate of their North Dravidian linguistic affinity. Front Genet 2024; 14:1303628. [PMID: 38384360 PMCID: PMC10880486 DOI: 10.3389/fgene.2023.1303628] [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: 09/28/2023] [Accepted: 12/31/2023] [Indexed: 02/23/2024] Open
Abstract
Introduction: The Koraga tribe are an isolated endogamous tribal group found in the southwest coastal region of India. The Koraga language shares inherited grammatical features with North Dravidian languages. To seek a possible genetic basis for this exceptionality and understand the maternal lineage pattern, we have aimed to reconstruct the inter-population and intra-population relationships of the Koraga tribal population by using mtDNA markers for the hypervariable regions along with a partial coding region sequence analysis. Methods and Results: Amongst the 96 individuals studied, we observe 11 haplogroups, of which a few are shared and others are unique to the clans Soppu, Oṇṭi and Kuṇṭu. In addition to several deep rooted Indian-specific lineages of macrohaplogroups M and U, we observe a high frequency of the U1 lineage (∼38%), unique to the Koraga. A Bayesian analysis of the U1 clade shows that the Koraga tribe share their maternal lineage with ancestral populations of the Caucasus at the cusp of the Last Glacial Maximum. Discussion: Our study suggests that the U1 lineage found in the Indian subcontinent represents a remnant of a post-glacial dispersal. The presence of West Asian U1 when viewed along with historical linguistics leads us to hypothesise that Koraga represents a mother tongue retained by a vanquished population group that fled southward at the demise of the Indus civilisation as opposed to a father tongue, associated with a particular paternal lineage.
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Affiliation(s)
| | | | - Ranajit Das
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - George van Driem
- Institut für Sprachwissenschaft, Universität Bern, Bern, Switzerland
| | - Mohammed S. Mustak
- Department of Applied Zoology, Mangalore University, Mangalore, Karnataka, India
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10
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He G, Wang P, Chen J, Liu Y, Sun Y, Hu R, Duan S, Sun Q, Tang R, Yang J, Wang Z, Yun L, Hu L, Yan J, Nie S, Wei L, Liu C, Wang M. Differentiated genomic footprints suggest isolation and long-distance migration of Hmong-Mien populations. BMC Biol 2024; 22:18. [PMID: 38273256 PMCID: PMC10809681 DOI: 10.1186/s12915-024-01828-x] [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: 01/23/2023] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The underrepresentation of Hmong-Mien (HM) people in Asian genomic studies has hindered our comprehensive understanding of the full landscape of their evolutionary history and complex trait architecture. South China is a multi-ethnic region and indigenously settled by ethnolinguistically diverse HM, Austroasiatic (AA), Tai-Kadai (TK), Austronesian (AN), and Sino-Tibetan (ST) people, which is regarded as East Asia's initial cradle of biodiversity. However, previous fragmented genetic studies have only presented a fraction of the landscape of genetic diversity in this region, especially the lack of haplotype-based genomic resources. The deep characterization of demographic history and natural-selection-relevant genetic architecture of HM people was necessary. RESULTS We reported one HM-specific genomic resource and comprehensively explored the fine-scale genetic structure and adaptative features inferred from the genome-wide SNP data of 440 HM individuals from 33 ethnolinguistic populations, including previously unreported She. We identified solid genetic differentiation between HM people and Han Chinese at 7.64‒15.86 years ago (kya) and split events between southern Chinese inland (Miao/Yao) and coastal (She) HM people in the middle Bronze Age period and the latter obtained more gene flow from Ancient Northern East Asians. Multiple admixture models further confirmed that extensive gene flow from surrounding ST, TK, and AN people entangled in forming the gene pool of Chinese coastal HM people. Genetic findings of isolated shared unique ancestral components based on the sharing alleles and haplotypes deconstructed that HM people from the Yungui Plateau carried the breadth of previously unknown genomic diversity. We identified a direct and recent genetic connection between Chinese inland and Southeast Asian HM people as they shared the most extended identity-by-descent fragments, supporting the long-distance migration hypothesis. Uniparental phylogenetic topology and network-based phylogenetic relationship reconstruction found ancient uniparental founding lineages in southwestern HM people. Finally, the population-specific biological adaptation study identified the shared and differentiated natural selection signatures among inland and coastal HM people associated with physical features and immune functions. The allele frequency spectrum of cancer susceptibility alleles and pharmacogenomic genes showed significant differences between HM and northern Chinese people. CONCLUSIONS Our extensive genetic evidence combined with the historical documents supported the view that ancient HM people originated from the Yungui regions associated with ancient "Three-Miao tribes" descended from the ancient Daxi-Qujialing-Shijiahe people. Then, some have recently migrated rapidly to Southeast Asia, and some have migrated eastward and mixed respectively with Southeast Asian indigenes, Liangzhu-related coastal ancient populations, and incoming southward ST people. Generally, complex population migration, admixture, and adaptation history contributed to the complicated patterns of population structure of geographically diverse HM people.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
| | - Peixin Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Medical Information, Chongqing Medical University, Chongqing, 400331, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Rong Hu
- School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Junbao Yang
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Liping Hu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, 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
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Inner Mongolia, 010028, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
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11
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Hui R, Scheib CL, D’Atanasio E, Inskip SA, Cessford C, Biagini SA, Wohns AW, Ali MQ, Griffith SJ, Solnik A, Niinemäe H, Ge XJ, Rose AK, Beneker O, O’Connell TC, Robb JE, Kivisild T. Genetic history of Cambridgeshire before and after the Black Death. SCIENCE ADVANCES 2024; 10:eadi5903. [PMID: 38232165 PMCID: PMC10793959 DOI: 10.1126/sciadv.adi5903] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/14/2023] [Indexed: 01/19/2024]
Abstract
The extent of the devastation of the Black Death pandemic (1346-1353) on European populations is known from documentary sources and its bacterial source illuminated by studies of ancient pathogen DNA. What has remained less understood is the effect of the pandemic on human mobility and genetic diversity at the local scale. Here, we report 275 ancient genomes, including 109 with coverage >0.1×, from later medieval and postmedieval Cambridgeshire of individuals buried before and after the Black Death. Consistent with the function of the institutions, we found a lack of close relatives among the friars and the inmates of the hospital in contrast to their abundance in general urban and rural parish communities. While we detect long-term shifts in local genetic ancestry in Cambridgeshire, we find no evidence of major changes in genetic ancestry nor higher differentiation of immune loci between cohorts living before and after the Black Death.
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Affiliation(s)
- Ruoyun Hui
- Alan Turing Institute, London, UK
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - Christiana L. Scheib
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- St John’s College, University of Cambridge, Cambridge, UK
| | | | - Sarah A. Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Craig Cessford
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Cambridge Archaeological Unit, Department of Archaeology, University of Cambridge, Cambridge, UK
| | | | - Anthony W. Wohns
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics and Biology, Stanford University, Stanford, CA, USA
| | | | - Samuel J. Griffith
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Helja Niinemäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Xiangyu Jack Ge
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, UK
| | - Alice K. Rose
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Department of Archaeology, University of Durham, Durham, UK
| | - Owyn Beneker
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Tamsin C. O’Connell
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - John E. Robb
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Toomas Kivisild
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Leuven, Belgium
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12
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Di Santo LN, Quilodrán CS, Currat M. Temporal Variation in Introgressed Segments' Length Statistics Computed from a Limited Number of Ancient Genomes Sheds Light on Past Admixture Pulses. Mol Biol Evol 2023; 40:msad252. [PMID: 37992125 PMCID: PMC10715198 DOI: 10.1093/molbev/msad252] [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: 04/18/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Hybridization is recognized as an important evolutionary force, but identifying and timing admixture events between divergent lineages remain a major aim of evolutionary biology. While this has traditionally been done using inferential tools on contemporary genomes, the latest advances in paleogenomics have provided a growing wealth of temporally distributed genomic data. Here, we used individual-based simulations to generate chromosome-level genomic data for a 2-population system and described temporal neutral introgression patterns under a single- and 2-pulse admixture model. We computed 6 summary statistics aiming to inform the timing and number of admixture pulses between interbreeding entities: lengths of introgressed sequences and their variance within genomes, as well as genome-wide introgression proportions and related measures. The first 2 statistics could confidently be used to infer interlineage hybridization history, peaking at the beginning and shortly after an admixture pulse. Temporal variation in introgression proportions and related statistics provided more limited insights, particularly when considering their application to ancient genomes still scant in number. Lastly, we computed these statistics on Homo sapiens paleogenomes and successfully inferred the hybridization pulse from Neanderthal that occurred approximately 40 to 60 kya. The scarce number of genomes dating from this period prevented more precise inferences, but the accumulation of paleogenomic data opens promising perspectives as our approach only requires a limited number of ancient genomes.
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Affiliation(s)
- Lionel N Di Santo
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
| | | | - Mathias Currat
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
- Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva, Geneva CH-1205
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13
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Zupanič Pajnič I, Mlinšek T, Počivavšek T, Leskovar T. Genetic sexing of subadult skeletal remains. Sci Rep 2023; 13:20463. [PMID: 37993531 PMCID: PMC10665466 DOI: 10.1038/s41598-023-47836-9] [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: 07/20/2023] [Accepted: 11/19/2023] [Indexed: 11/24/2023] Open
Abstract
When subadult skeletons need to be identified, biological sex diagnosis is one of the first steps in the identification process. Sex assessment of subadults using morphological features is unreliable, and molecular genetic methods were applied in this study. Eighty-three ancient skeletons were used as models for poorly preserved DNA. Three sex-informative markers on the Y and X chromosome were used for sex identification: a qPCR test using the PowerQuant Y target included in PowerQuant System (Promega), the amelogenin test included in ESI 17 Fast STR kit (Promega), and a Y-STR amplification test using the PowerPlex Y-23 kit (Promega). Sex was successfully determined in all but five skeletons. Successful PowerQuant Y-target, Y-amelogenin, and Y-chromosomal STR amplifications proved the presence of male DNA in 35 skeletons, and in 43 subadults female sex was established. No match was found between the genetic profiles of subadult skeletons, and the elimination database and negative control samples produced no profiles, indicating no contamination issue. Our study shows that genetic sex identification is a very successful approach for biological sexing of subadult skeletons whose sex cannot be assessed by anthropological methods. The results of this study are applicable for badly preserved subadult skeletons from routine forensic casework.
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Affiliation(s)
- Irena Zupanič Pajnič
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
| | - Teo Mlinšek
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia
| | - Tadej Počivavšek
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia
| | - Tamara Leskovar
- Centre for Interdisciplinary Research in Archaeology, Department of Archaeology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
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14
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Silcocks M, Dunstan SJ. Parallel signatures of Mycobacterium tuberculosis and human Y-chromosome phylogeography support the Two Layer model of East Asian population history. Commun Biol 2023; 6:1037. [PMID: 37833496 PMCID: PMC10575886 DOI: 10.1038/s42003-023-05388-8] [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: 07/21/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
The Two Layer hypothesis is fast becoming the favoured narrative describing East Asian population history. Under this model, hunter-gatherer groups who initially peopled East Asia via a route south of the Himalayas were assimilated by agriculturalist migrants who arrived via a northern route across Eurasia. A lack of ancient samples from tropical East Asia limits the resolution of this model. We consider insight afforded by patterns of variation within the human pathogen Mycobacterium tuberculosis (Mtb) by analysing its phylogeographic signatures jointly with the human Y-chromosome. We demonstrate the Y-chromosome lineages enriched in the traditionally hunter-gatherer groups associated with East Asia's first layer of peopling to display deep roots, low long-term effective population size, and diversity patterns consistent with a southern entry route. These characteristics mirror those of the evolutionarily ancient Mtb lineage 1. The remaining East Asian Y-chromosome lineage is almost entirely absent from traditionally hunter-gatherer groups and displays spatial and temporal characteristics which are incompatible with a southern entry route, and which link it to the development of agriculture in modern-day China. These characteristics mirror those of the evolutionarily modern Mtb lineage 2. This model paves the way for novel host-pathogen coevolutionary research hypotheses in East Asia.
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Affiliation(s)
- Matthew Silcocks
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia.
| | - Sarah J Dunstan
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
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15
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Wen Y, Liu J, Su Y, Chen X, Hou Y, Liao L, Wang Z. Forensic biogeographical ancestry inference: recent insights and current trends. Genes Genomics 2023; 45:1229-1238. [PMID: 37081293 DOI: 10.1007/s13258-023-01387-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/01/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND As a powerful complement to the paradigmatic DNA profiling strategy, biogeographical ancestry inference (BGAI) plays a significant part in human forensic investigation especially when a database hit or eyewitness testimony are not available. It indicates one's biogeographical profile based on known population-specific genetic variations, and thus is crucial for guiding authority investigations to find unknown individuals. Forensic biogeographical ancestry testing exploits much of the recent advances in the understanding of human genomic variation and improving of molecular biology. OBJECTIVE In this review, recent development of prospective ancestry informative markers (AIMs) and the statistical approaches of inferring biogeographic ancestry from AIMs are elucidated and discussed. METHODS We highlight the research progress of three potential AIMs (i.e., single nucleotide polymorphisms, microhaplotypes, and Y or mtDNA uniparental markers) and discuss the prospects and challenges of two methods that are commonly used in BGAI. CONCLUSION While BGAI for forensic purposes has been thriving in recent years, important challenges, such as ethics and responsibilities, data completeness, and ununified standards for evaluation, remain for the use of biogeographical ancestry information in human forensic investigations. To address these issues and fully realize the value of BGAI in forensic investigation, efforts should be made not only by labs/institutions around the world independently, but also by inter-lab/institution collaborations.
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Affiliation(s)
- Yufeng Wen
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yonglin Su
- Department of Rehabilitation Medicine, West China Hospital Sichuan University, Chengdu, 610041, China
| | - Xiacan Chen
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Linchuan Liao
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
| | - Zheng Wang
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China.
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
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16
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García-Olivares V, Muñoz-Barrera A, Rubio-Rodríguez LA, Jáspez D, Díaz-de Usera A, Iñigo-Campos A, Veeramah KR, Alonso S, Thomas MG, Lorenzo-Salazar JM, González-Montelongo R, Flores C. Benchmarking of human Y-chromosomal haplogroup classifiers with whole-genome and whole-exome sequence data. Comput Struct Biotechnol J 2023; 21:4613-4618. [PMID: 37817776 PMCID: PMC10560978 DOI: 10.1016/j.csbj.2023.09.012] [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: 04/27/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 10/12/2023] Open
Abstract
In anthropological, medical, and forensic studies, the nonrecombinant region of the human Y chromosome (NRY) enables accurate reconstruction of pedigree relationships and retrieval of ancestral information. Using high-throughput sequencing (HTS) data, we present a benchmarking analysis of command-line tools for NRY haplogroup classification. The evaluation was performed using paired Illumina data from whole-genome sequencing (WGS) and whole-exome sequencing (WES) experiments from 50 unrelated donors. Additionally, as a validation, we also used paired WGS/WES datasets of 54 individuals from the 1000 Genomes Project. Finally, we evaluated the tools on data from third-generation HTS obtained from a subset of donors and one reference sample. Our results show that WES, despite typically offering less genealogical resolution than WGS, is an effective method for determining the NRY haplogroup. Y-LineageTracker and Yleaf showed the highest accuracy for WGS data, classifying precisely 98% and 96% of the samples, respectively. Yleaf outperforms all benchmarked tools in the WES data, classifying approximately 90% of the samples. Yleaf, Y-LineageTracker, and pathPhynder can correctly classify most samples (88%) sequenced with third-generation HTS. As a result, Yleaf provides the best performance for applications that use WGS and WES. Overall, our study offers researchers with a guide that allows them to select the most appropriate tool to analyze the NRY region using both second- and third-generation HTS data.
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Affiliation(s)
- Víctor García-Olivares
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
| | - Adrián Muñoz-Barrera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Luis A. Rubio-Rodríguez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - David Jáspez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Ana Díaz-de Usera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Antonio Iñigo-Campos
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Krishna R. Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, United States
| | - Santos Alonso
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, Spain
- María Goyri Building, Biotechnology Center, Human Molecular Evolution Lab 2.08 UPV/EHU Science Park, 48940 Leioa, Bizkaia, Spain
| | - Mark G. Thomas
- UCL Genetics Institute, University College London (UCL), Gower Street, London WC1E 6BT, United Kingdom
- Research Department of Genetics, Evolution & Environment, University College London (UCL), Darwin Building, Gower Street, London WC1E 6BT, United Kingdom
| | - José M. Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Rafaela González-Montelongo
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
| | - Carlos Flores
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, Las Palmas de Gran Canaria, Spain
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17
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Woravatin W, Stoneking M, Srikummool M, Kampuansai J, Arias L, Kutanan W. South Asian maternal and paternal lineages in southern Thailand and the role of sex-biased admixture. PLoS One 2023; 18:e0291547. [PMID: 37708147 PMCID: PMC10501589 DOI: 10.1371/journal.pone.0291547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023] Open
Abstract
Previous genome-wide studies have reported South Asian (SA) ancestry in several Mainland Southeast Asian (MSEA) populations; however, additional details concerning population history, in particular the role of sex-specific aspects of the SA admixture in MSEA populations can be addressed with uniparental markers. Here, we generated ∼2.3 mB sequences of the male-specific portions of the Y chromosome (MSY) of a Tai-Kadai (TK)-speaking Southern Thai group (SouthernThai_TK), and complete mitochondrial (mtDNA) genomes of the SouthernThai_TK and an Austronesian (AN)-speaking Southern Thai (SouthernThai_AN) group. We identified new mtDNA haplogroups, e.g. Q3, E1a1a1, B4a1a and M7c1c3 that have not previously reported in Thai populations, but are frequent in Island Southeast Asia and Oceania, suggesting interactions between MSEA and these regions. SA prevalent mtDNA haplogroups were observed at frequencies of ~35-45% in the Southern Thai groups; both of them showed more genetic relatedness to Austroasiatic (AA) speaking Mon than to any other group. For MSY, SouthernThai_TK had ~35% SA prevalent haplogroups and exhibited closer genetic affinity to Central Thais. We also analyzed published data from other MSEA populations and observed SA ancestry in some additional MSEA populations that also reflects sex-biased admixture; in general, most AA- and AN-speaking groups in MSEA were closer to SA than to TK groups based on mtDNA, but the opposite pattern was observed for the MSY. Overall, our results of new genetic lineages and sex-biased admixture from SA to MSEA groups attest to the additional value that uniparental markers can add to studies of genome-wide variation.
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Affiliation(s)
- Wipada Woravatin
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Biométrie et Biologie Évolutive, UMR 5558, CNRS & Université de Lyon, Lyon, France
| | - Metawee Srikummool
- Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand
| | - Jatupol Kampuansai
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Research Center in Bioresources for Agriculture, Industry and Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Leonardo Arias
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Centre for Linguistics, Faculty of Humanities, Leiden University, Leiden, The Netherlands
| | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
- Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand
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18
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Hallast P, Ebert P, Loftus M, Yilmaz F, Audano PA, Logsdon GA, Bonder MJ, Zhou W, Höps W, Kim K, Li C, Hoyt SJ, Dishuck PC, Porubsky D, Tsetsos F, Kwon JY, Zhu Q, Munson KM, Hasenfeld P, Harvey WT, Lewis AP, Kordosky J, Hoekzema K, O'Neill RJ, Korbel JO, Tyler-Smith C, Eichler EE, Shi X, Beck CR, Marschall T, Konkel MK, Lee C. Assembly of 43 human Y chromosomes reveals extensive complexity and variation. Nature 2023; 621:355-364. [PMID: 37612510 PMCID: PMC10726138 DOI: 10.1038/s41586-023-06425-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 07/11/2023] [Indexed: 08/25/2023]
Abstract
The prevalence of highly repetitive sequences within the human Y chromosome has prevented its complete assembly to date1 and led to its systematic omission from genomic analyses. Here we present de novo assemblies of 43 Y chromosomes spanning 182,900 years of human evolution and report considerable diversity in size and structure. Half of the male-specific euchromatic region is subject to large inversions with a greater than twofold higher recurrence rate compared with all other chromosomes2. Ampliconic sequences associated with these inversions show differing mutation rates that are sequence context dependent, and some ampliconic genes exhibit evidence for concerted evolution with the acquisition and purging of lineage-specific pseudogenes. The largest heterochromatic region in the human genome, Yq12, is composed of alternating repeat arrays that show extensive variation in the number, size and distribution, but retain a 1:1 copy-number ratio. Finally, our data suggest that the boundary between the recombining pseudoautosomal region 1 and the non-recombining portions of the X and Y chromosomes lies 500 kb away from the currently established1 boundary. The availability of fully sequence-resolved Y chromosomes from multiple individuals provides a unique opportunity for identifying new associations of traits with specific Y-chromosomal variants and garnering insights into the evolution and function of complex regions of the human genome.
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Affiliation(s)
- Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Peter Ebert
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Core Unit Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Mark Loftus
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Feyza Yilmaz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Peter A Audano
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marc Jan Bonder
- Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Weichen Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Wolfram Höps
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Kwondo Kim
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Chong Li
- Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA
| | - Savannah J Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Fotios Tsetsos
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Jee Young Kwon
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Qihui Zhu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Patrick Hasenfeld
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jennifer Kordosky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- The University of Connecticut Health Center, Farmington, CT, USA
| | - Jan O Korbel
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | | | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Xinghua Shi
- Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA
| | - Christine R Beck
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- The University of Connecticut Health Center, Farmington, CT, USA
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Miriam K Konkel
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
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19
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Rhie A, Nurk S, Cechova M, Hoyt SJ, Taylor DJ, Altemose N, Hook PW, Koren S, Rautiainen M, Alexandrov IA, Allen J, Asri M, Bzikadze AV, Chen NC, Chin CS, Diekhans M, Flicek P, Formenti G, Fungtammasan A, Garcia Giron C, Garrison E, Gershman A, Gerton JL, Grady PGS, Guarracino A, Haggerty L, Halabian R, Hansen NF, Harris R, Hartley GA, Harvey WT, Haukness M, Heinz J, Hourlier T, Hubley RM, Hunt SE, Hwang S, Jain M, Kesharwani RK, Lewis AP, Li H, Logsdon GA, Lucas JK, Makalowski W, Markovic C, Martin FJ, Mc Cartney AM, McCoy RC, McDaniel J, McNulty BM, Medvedev P, Mikheenko A, Munson KM, Murphy TD, Olsen HE, Olson ND, Paulin LF, Porubsky D, Potapova T, Ryabov F, Salzberg SL, Sauria MEG, Sedlazeck FJ, Shafin K, Shepelev VA, Shumate A, Storer JM, Surapaneni L, Taravella Oill AM, Thibaud-Nissen F, Timp W, Tomaszkiewicz M, Vollger MR, Walenz BP, Watwood AC, Weissensteiner MH, Wenger AM, Wilson MA, Zarate S, Zhu Y, Zook JM, Eichler EE, O'Neill RJ, Schatz MC, Miga KH, Makova KD, Phillippy AM. The complete sequence of a human Y chromosome. Nature 2023; 621:344-354. [PMID: 37612512 PMCID: PMC10752217 DOI: 10.1038/s41586-023-06457-y] [Citation(s) in RCA: 92] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/19/2023] [Indexed: 08/25/2023]
Abstract
The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure that includes long palindromes, tandem repeats and segmental duplications1-3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029-base-pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the reference, showing the complete ampliconic structures of gene families TSPY, DAZ and RBMY; 41 additional protein-coding genes, mostly from the TSPY family; and an alternating pattern of human satellite 1 and 3 blocks in the heterochromatic Yq12 region. We have combined T2T-Y with a previous assembly of the CHM13 genome4 and mapped available population variation, clinical variants and functional genomics data to produce a complete and comprehensive reference sequence for all 24 human chromosomes.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Oxford Nanopore Technologies Inc., Oxford, UK
| | - Monika Cechova
- Faculty of Informatics, Masaryk University, Brno, Czech Republic
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Savannah J Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Paul W Hook
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ivan A Alexandrov
- Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- Department of Anatomy and Anthropology and Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Chen-Shan Chin
- GeneDX Holdings Corp, Stamford, CT, USA
- Foundation of Biological Data Science, Belmont, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | | | | | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ariel Gershman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical Center, Kansas City, MO, USA
| | - Patrick G S Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nancy F Hansen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabrielle A Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jakob Heinz
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Stephen Hwang
- XDBio Program, Johns Hopkins University, Baltimore, MD, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Rupesh K Kesharwani
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Julian K Lucas
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Christopher Markovic
- Genome Technology Access Center at the McDonnell Genome Institute, Washington University, St. Louis, MO, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ann M Mc Cartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brandy M McNulty
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Medvedev
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Hugh E Olsen
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Nathan D Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Luis F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | - Steven L Salzberg
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | | | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Angela M Taravella Oill
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Marta Tomaszkiewicz
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Department of Biomedical Engineering, Pennsylvania State University, State College, PA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison C Watwood
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | | | | | - Melissa A Wilson
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Yiming Zhu
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Justin M Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Investigator, Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H Miga
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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20
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Li J, Song F, Lang M, Xie M. Comprehensive insights into the genetic background of Chinese populations using Y chromosome markers. ROYAL SOCIETY OPEN SCIENCE 2023; 10:230814. [PMID: 37736526 PMCID: PMC10509572 DOI: 10.1098/rsos.230814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/01/2023] [Indexed: 09/23/2023]
Abstract
China is located in East Asia. With a high genetic and cultural diversity, human migration in China has always been a hot topic of genetics research. To explore the origins and migration routes of Chinese males, 3333 Chinese individuals (Han, Hui, Mongolia, Yi and Kyrgyz) with 27 Y-STRs and 143 Y-SNPs from published literature were analysed. Our data showed that there are five dominant haplogroups (O2-M122, O1-F265, C-M130, N-M231, R-M207) in China. Combining analysis of haplogroup frequencies, geographical positions and time with the most recent common ancestor (TMRCA), we found that haplogroups C-M130, N-M231 and R1-M173 and O1a-M175 probably migrated into China via the northern route. Interestingly, we found that haplogroup C*-M130 in China may originate in South Asia, whereas the major subbranches C2a-L1373 and C2b-F1067 migrated from northern China. The results of BATWING showed that the common ancestry of Y haplogroup in China can be traced back to 17 000 years ago, which was concurrent with global temperature increases after the Last Glacial Maximum.
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Affiliation(s)
- Jienan Li
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan Province, People's Republic of China
| | - Feng Song
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, People's Republic of China
| | - Min Lang
- Sichuan University Law School, Sichuan University, Chengdu, People's Republic of China
| | - Mingkun Xie
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
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21
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Ferraz T, Suarez Villagran X, Nägele K, Radzevičiūtė R, Barbosa Lemes R, Salazar-García DC, Wesolowski V, Lopes Alves M, Bastos M, Rapp Py-Daniel A, Pinto Lima H, Mendes Cardoso J, Estevam R, Liryo A, Guimarães GM, Figuti L, Eggers S, Plens CR, Azevedo Erler DM, Valadares Costa HA, da Silva Erler I, Koole E, Henriques G, Solari A, Martin G, Serafim Monteiro da Silva SF, Kipnis R, Müller LM, Ferreira M, Carvalho Resende J, Chim E, da Silva CA, Borella AC, Tomé T, Müller Plumm Gomes L, Barros Fonseca D, Santos da Rosa C, de Moura Saldanha JD, Costa Leite L, Cunha CMS, Viana SA, Ozorio Almeida F, Klokler D, Fernandes HLA, Talamo S, DeBlasis P, Mendonça de Souza S, de Paula Moraes C, Elias Oliveira R, Hünemeier T, Strauss A, Posth C. Genomic history of coastal societies from eastern South America. Nat Ecol Evol 2023; 7:1315-1330. [PMID: 37524799 PMCID: PMC10406606 DOI: 10.1038/s41559-023-02114-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 06/08/2023] [Indexed: 08/02/2023]
Abstract
Sambaqui (shellmound) societies are among the most intriguing archaeological phenomena in pre-colonial South America, extending from approximately 8,000 to 1,000 years before present (yr BP) across 3,000 km on the Atlantic coast. However, little is known about their connection to early Holocene hunter-gatherers, how this may have contributed to different historical pathways and the processes through which late Holocene ceramists came to rule the coast shortly before European contact. To contribute to our understanding of the population history of indigenous societies on the eastern coast of South America, we produced genome-wide data from 34 ancient individuals as early as 10,000 yr BP from four different regions in Brazil. Early Holocene hunter-gatherers were found to lack shared genetic drift among themselves and with later populations from eastern South America, suggesting that they derived from a common radiation and did not contribute substantially to later coastal groups. Our analyses show genetic heterogeneity among contemporaneous Sambaqui groups from the southeastern and southern Brazilian coast, contrary to the similarity expressed in the archaeological record. The complex history of intercultural contact between inland horticulturists and coastal populations becomes genetically evident during the final horizon of Sambaqui societies, from around 2,200 yr BP, corroborating evidence of cultural change.
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Affiliation(s)
- Tiago Ferraz
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Kathrin Nägele
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Rita Radzevičiūtė
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Renan Barbosa Lemes
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
| | - Domingo C Salazar-García
- Departament de Prehistòria, Arqueologia i Història Antiga, Universitat de València, València, Spain
- Department of Geological Sciences, University of Cape Town, Cape Town, South Africa
| | - Verônica Wesolowski
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Marcony Lopes Alves
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Murilo Bastos
- Departamento de Antropologia, Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | - Jéssica Mendes Cardoso
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Géosciences Environnement Toulouse, Observatoire Midi Pyrénées, UMR 5563, CNRS, Toulouse, France
| | - Renata Estevam
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Andersen Liryo
- National Museum, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Geovan M Guimarães
- Grupo de Pesquisa em Educação Patrimonial e Arqueologia (Grupep), Universidade do Sul de Santa Catarina, Santa Catarina, Brazil
| | - Levy Figuti
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | - Cláudia R Plens
- Laboratory of Archaeological Studies, Department of History, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | | | - Ana Solari
- Fundação Museu do Homem Americano, Piauí, Brazil
| | | | | | | | - Letícia Morgana Müller
- Scientia Consultoria Científica, São Paulo, Brazil
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Mariane Ferreira
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Scientia Consultoria Científica, São Paulo, Brazil
| | - Janine Carvalho Resende
- Instituto Goiano de Pré-história e Arqueologia, Pontifícia Universidade Católica de Goiás, Goiânia, Brazil
| | - Eliane Chim
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | - Ana Claudia Borella
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Tiago Tomé
- Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Lisiane Müller Plumm Gomes
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | | | - João Darcy de Moura Saldanha
- Universidade de Évora, Évora, Portugal
- Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Macapá, Brazil
| | - Lúcio Costa Leite
- Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Macapá, Brazil
| | - Claudia M S Cunha
- Federal University of Piauí, Piauí, Brazil
- Centro de Investigação em Antropologia e Saúde, Universidade de Coimbra, Coimbra, Portugal
| | - Sibeli Aparecida Viana
- Instituto Goiano de Pré-história e Arqueologia, Pontifícia Universidade Católica de Goiás, Goiânia, Brazil
| | - Fernando Ozorio Almeida
- Programa de Pós-Graduação em Arqueologia, Universidade Federal de Sergipe, Sergipe, Brazil
- Departamento de Arqueologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniela Klokler
- Programa de Pós-Graduação em Arqueologia, Universidade Federal de Sergipe, Sergipe, Brazil
- Departamento de Antropologia e Arqueologia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Henry Luydy Abraham Fernandes
- Programa de Pós-Graduação em Arqueologia e Patrimônio Cultural, Universidade Federal do Recôncavo da Bahia, Bahia, Brazil
| | - Sahra Talamo
- Department of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Bologna, Italy
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Paulo DeBlasis
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | | | - Rodrigo Elias Oliveira
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
| | - Tábita Hünemeier
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil.
- Institut de Biologia Evolutiva, CSIC/Universitat Pompeu Fabra, Barcelona, Spain.
| | - André Strauss
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil.
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Archaeo- and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Tübingen, Germany.
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany.
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22
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Esteller-Cucala P, Palmada-Flores M, Kuderna LFK, Fontsere C, Serres-Armero A, Dabad M, Torralvo M, Faella A, Ferrández-Peral L, Llovera L, Fornas O, Julià E, Ramírez E, González I, Hecht J, Lizano E, Juan D, Marquès-Bonet T. Y chromosome sequence and epigenomic reconstruction across human populations. Commun Biol 2023; 6:623. [PMID: 37296226 PMCID: PMC10256797 DOI: 10.1038/s42003-023-05004-9] [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: 12/21/2022] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
Recent advances in long-read sequencing technologies have allowed the generation and curation of more complete genome assemblies, enabling the analysis of traditionally neglected chromosomes, such as the human Y chromosome (chrY). Native DNA was sequenced on a MinION Oxford Nanopore Technologies sequencing device to generate genome assemblies for seven major chrY human haplogroups. We analyzed and compared the chrY enrichment of sequencing data obtained using two different selective sequencing approaches: adaptive sampling and flow cytometry chromosome sorting. We show that adaptive sampling can produce data to create assemblies comparable to chromosome sorting while being a less expensive and time-consuming technique. We also assessed haplogroup-specific structural variants, which would be otherwise difficult to study using short-read sequencing data only. Finally, we took advantage of this technology to detect and profile epigenetic modifications among the considered haplogroups. Altogether, we provide a framework to study complex genomic regions with a simple, fast, and affordable methodology that could be applied to larger population genomics datasets.
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Affiliation(s)
- Paula Esteller-Cucala
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain.
| | - Marc Palmada-Flores
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Lukas F K Kuderna
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Claudia Fontsere
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Aitor Serres-Armero
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Marc Dabad
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, Barcelona, Spain
| | - María Torralvo
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Armida Faella
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Luis Ferrández-Peral
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Laia Llovera
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Oscar Fornas
- Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Doctor Aiguader 88, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, Barcelona, Spain
| | - Eva Julià
- Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Doctor Aiguader 88, Barcelona, Spain
| | - Erika Ramírez
- Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Doctor Aiguader 88, Barcelona, Spain
| | - Irene González
- Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Doctor Aiguader 88, Barcelona, Spain
| | - Jochen Hecht
- Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Doctor Aiguader 88, Barcelona, Spain
| | - Esther Lizano
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, Cerdanyola del Vallès, Spain
| | - David Juan
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain
| | - Tomàs Marquès-Bonet
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Doctor Aiguader 88, Barcelona, Spain.
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, Barcelona, Spain.
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, Cerdanyola del Vallès, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, Spain.
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23
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Villa-Islas V, Izarraras-Gomez A, Larena M, Campos EMP, Sandoval-Velasco M, Rodríguez-Rodríguez JE, Bravo-Lopez M, Moguel B, Fregel R, Garfias-Morales E, Medina Tretmanis J, Velázquez-Ramírez DA, Herrera-Muñóz A, Sandoval K, Nieves-Colón MA, Zepeda García Moreno G, Villanea FA, Medina EFV, Aguayo-Haro R, Valdiosera C, Ioannidis AG, Moreno-Estrada A, Jay F, Huerta-Sanchez E, Moreno-Mayar JV, Sánchez-Quinto F, Ávila-Arcos MC. Demographic history and genetic structure in pre-Hispanic Central Mexico. Science 2023; 380:eadd6142. [PMID: 37167382 DOI: 10.1126/science.add6142] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Aridoamerica and Mesoamerica are two distinct cultural areas in northern and central Mexico, respectively, that hosted numerous pre-Hispanic civilizations between 2500 BCE and 1521 CE. The division between these regions shifted southward because of severe droughts ~1100 years ago, which allegedly drove a population replacement in central Mexico by Aridoamerican peoples. In this study, we present shotgun genome-wide data from 12 individuals and 27 mitochondrial genomes from eight pre-Hispanic archaeological sites across Mexico, including two at the shifting border of Aridoamerica and Mesoamerica. We find population continuity that spans the climate change episode and a broad preservation of the genetic structure across present-day Mexico for the past 2300 years. Lastly, we identify a contribution to pre-Hispanic populations of northern and central Mexico from two ancient unsampled "ghost" populations.
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Affiliation(s)
- Viridiana Villa-Islas
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Alan Izarraras-Gomez
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Maximilian Larena
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | | | - Marcela Sandoval-Velasco
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20560, USA
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Cuidad de México, Mexico
| | | | - Miriam Bravo-Lopez
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Barbara Moguel
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
- Centro de Geociencias, UNAM Juriquilla, Juriquilla, Querétaro, México
| | - Rosa Fregel
- Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Ernesto Garfias-Morales
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | | | | | | | - Karla Sandoval
- Equity and Gender Office of the Centre for Research and Advanced Studies (CODIGO-C), CINVESTAV, Mexico City, Mexico
| | - Maria A Nieves-Colón
- Unit of Advanced Genomics, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | | | - Fernando A Villanea
- Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA
| | | | | | - Cristina Valdiosera
- Departamento de Historia, Geografía y Comunicaciones, Universidad de Burgos, Burgos, Spain
- Department of History and Archaeology, La Trobe University, Melbourne, Australia
| | - Alexander G Ioannidis
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | - Andrés Moreno-Estrada
- Unit of Advanced Genomics, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Flora Jay
- Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, CNRS, INRIA, 91400 Orsay, France
| | | | - J Víctor Moreno-Mayar
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - María C Ávila-Arcos
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
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24
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He G, Wang M, Miao L, Chen J, Zhao J, Sun Q, Duan S, Wang Z, Xu X, Sun Y, Liu Y, Liu J, Wang Z, Wei L, Liu C, Ye J, Wang L. Multiple founding paternal lineages inferred from the newly-developed 639-plex Y-SNP panel suggested the complex admixture and migration history of Chinese people. Hum Genomics 2023; 17:29. [PMID: 36973821 PMCID: PMC10045532 DOI: 10.1186/s40246-023-00476-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Non-recombining regions of the Y-chromosome recorded the evolutionary traces of male human populations and are inherited haplotype-dependently and male-specifically. Recent whole Y-chromosome sequencing studies have identified previously unrecognized population divergence, expansion and admixture processes, which promotes a better understanding and application of the observed patterns of Y-chromosome genetic diversity. RESULTS Here, we developed one highest-resolution Y-chromosome single nucleotide polymorphism (Y-SNP) panel targeted for uniparental genealogy reconstruction and paternal biogeographical ancestry inference, which included 639 phylogenetically informative SNPs. We genotyped these loci in 1033 Chinese male individuals from 33 ethnolinguistically diverse populations and identified 256 terminal Y-chromosomal lineages with frequency ranging from 0.0010 (singleton) to 0.0687. We identified six dominant common founding lineages associated with different ethnolinguistic backgrounds, which included O2a2b1a1a1a1a1a1a1-M6539, O2a1b1a1a1a1a1a1-F17, O2a2b1a1a1a1a1b1a1b-MF15397, O2a2b2a1b1-A16609, O1b1a1a1a1b2a1a1-F2517, and O2a2b1a1a1a1a1a1-F155. The AMOVA and nucleotide diversity estimates revealed considerable differences and high genetic diversity among ethnolinguistically different populations. We constructed one representative phylogenetic tree among 33 studied populations based on the haplogroup frequency spectrum and sequence variations. Clustering patterns in principal component analysis and multidimensional scaling results showed a genetic differentiation between Tai-Kadai-speaking Li, Mongolic-speaking Mongolian, and other Sinitic-speaking Han Chinese populations. Phylogenetic topology inferred from the BEAST and Network relationships reconstructed from the popART further showed the founding lineages from culturally/linguistically diverse populations, such as C2a/C2b was dominant in Mongolian people and O1a/O1b was dominant in island Li people. We also identified many lineages shared by more than two ethnolinguistically different populations with a high proportion, suggesting their extensive admixture and migration history. CONCLUSIONS Our findings indicated that our developed high-resolution Y-SNP panel included major dominant Y-lineages of Chinese populations from different ethnic groups and geographical regions, which can be used as the primary and powerful tool for forensic practice. We should emphasize the necessity and importance of whole sequencing of more ethnolinguistically different populations, which can help identify more unrecognized population-specific variations for the promotion of Y-chromosome-based forensic applications.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
| | - Mengge Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Lei Miao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Jing Chen
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Jie Zhao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- 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, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Xiaofei Xu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, 010028, Inner Mongolia, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jian Ye
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
| | - Le Wang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
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25
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Guanglin H, Lan-Hai W, Mengge W. Editorial: Forensic investigative genetic genealogy and fine-scale structure of human populations. Front Genet 2023; 13:1067865. [PMID: 36685813 PMCID: PMC9849385 DOI: 10.3389/fgene.2022.1067865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/22/2022] [Indexed: 01/06/2023] Open
Affiliation(s)
- He Guanglin
- 1Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, China,*Correspondence: He Guanglin, ; Wang Mengge,
| | - Wei Lan-Hai
- 2School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, China
| | - Wang Mengge
- 3Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China,*Correspondence: He Guanglin, ; Wang Mengge,
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26
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Mansouri S, Gogoi H, Patel S, Katikaneni DS, Singh A, Aybar-Torres A, de Lartigue G, Jin L. MPYS Modulates Fatty Acid Metabolism and Immune Tolerance at Homeostasis Independent of Type I IFNs. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:2114-2132. [PMID: 36261171 PMCID: PMC9679991 DOI: 10.4049/jimmunol.2200158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/15/2022] [Indexed: 01/04/2023]
Abstract
MPYS/STING (stimulator of IFN genes) senses cyclic dinucleotides (CDNs), generates type I IFNs, and plays a critical role in infection, inflammation, and cancer. In this study, analyzing genotype and haplotype data from the 1000 Genomes Project, we found that the R71H-G230A-R293Q (HAQ) MPYS allele frequency increased 57-fold in East Asians compared with sub-Saharan Africans. Meanwhile, the G230A-R293Q (AQ) allele frequency decreased by 98% in East Asians compared with sub-Saharan Africans. We propose that the HAQ and AQ alleles underwent a natural selection during the out-of-Africa migration. We used mouse models of HAQ and AQ to investigate the underlying mechanism. We found that the mice carrying the AQ allele, which disappeared in East Asians, had normal CDN-type I IFN responses. Adult AQ mice, however, had less fat mass than did HAQ or wild-type mice on a chow diet. AQ epididymal adipose tissue had increased regulatory T cells and M2 macrophages with protein expression associated with enhanced fatty acid oxidation. Conditional knockout mice and adoptive cell transfer indicate a macrophage and regulatory T cell-intrinsic role of MPYS in fatty acid metabolism. Mechanistically, AQ/IFNAR1-/- mice had a similar lean phenotype as for the AQ mice. MPYS intrinsic tryptophan fluorescence revealed that the R71H change increased MPYS hydrophilicity. Lastly, we found that the second transmembrane (TM) and the TM2-TM3 linker region of MPYS interact with activated fatty acid, fatty acyl-CoA. In summary, studying the evolution of the human MPYS gene revealed an MPYS function in modulating fatty acid metabolism that may be critical during the out-of-Africa migration.
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Affiliation(s)
- Samira Mansouri
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Himanshu Gogoi
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Seema Patel
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Divya S. Katikaneni
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Arashdeep Singh
- Department of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL; and
- Center for Integrative Cardiovascular and Metabolic Disease, University of Florida, Gainesville, FL
| | - Alexandra Aybar-Torres
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Guillaume de Lartigue
- Department of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL; and
- Center for Integrative Cardiovascular and Metabolic Disease, University of Florida, Gainesville, FL
| | - Lei Jin
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL
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Ikram MS, Mehmood T, Rakha A, Akhtar S, Khan MIM, Al-Qahtani WS, Safhi FA, Hadi S, Wang CC, Adnan A. Genetic diversity and forensic application of Y-filer STRs in four major ethnic groups of Pakistan. BMC Genomics 2022; 23:788. [PMID: 36451116 PMCID: PMC9714238 DOI: 10.1186/s12864-022-09028-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/14/2022] [Indexed: 12/05/2022] Open
Abstract
17 Y-chromosomal STRs which are part of the Yfiler Amplification Kit were investigated in 493 unrelated Pakistani individuals belonging to the Punjabi, Sindhi, Baloch, and Pathan ethnic groups. We have assessed the forensic parameters and population genetic structure for each group. Among the 493 unrelated individuals from four ethnic groups (128 Baloch, 122 Pathan, 108 Punjabi, and 135 Sindhi), 82 haplotypes were observed with haplotype diversity (HD) of 0.9906 in Baloch, 102 haplotypes with HD value of 0.9957 in Pathans, 80 haplotypes with HD value of 0.9924 in Punjabi, and 105 haplotypes with HD value of 0.9945 in the Sindhi population. The overall gene diversity for Baloch, Pathan, Punjabi, and Sindhi populations was 0.6367, 0.6479, 0.6657, and 0.6112, respectively. The results had shown us that Pakistani populations do not have a unique set of genes but share the genetic affinity with regional (Central Asia and Northern India) populations. The observed low gene diversity (heterozygosity) values may be because of endogamy trends and this observation is equally supported by the results of forensic parameters which are mostly static across 4 combinations (minimal STRs, extended 11 Y-STRs, Powerplex 12 Y System, and Yfiler 17 Y-STRs) of STRs in these four populations.
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Affiliation(s)
- Muhammad Salman Ikram
- grid.12955.3a0000 0001 2264 7233Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China ,grid.412782.a0000 0004 0609 4693Institute of Chemistry, University of Sargodha, Sargodha, 40100 Punjab Pakistan
| | - Tahir Mehmood
- grid.412782.a0000 0004 0609 4693Institute of Chemistry, University of Sargodha, Sargodha, 40100 Punjab Pakistan ,grid.11173.350000 0001 0670 519XCentre for Applied and Molecular Biology (CAMB), University of the Punjab, Lahore, 53700 Punjab Pakistan
| | - Allah Rakha
- grid.412956.d0000 0004 0609 0537Department of Forensic Sciences, University of Health Sciences, Lahore, 54600 Pakistan
| | - Sareen Akhtar
- grid.412956.d0000 0004 0609 0537Department of Forensic Sciences, University of Health Sciences, Lahore, 54600 Pakistan
| | | | - Wedad Saeed Al-Qahtani
- grid.472319.a0000 0001 0708 9739Department of Forensic Sciences, College of Criminal Justice, Naïf Arab University of Security Sciences, Riyadh, 11452 Kingdom of Saudi Arabia
| | - Fatmah Ahmed Safhi
- grid.449346.80000 0004 0501 7602Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671 Saudi Arabia
| | - Sibte Hadi
- grid.472319.a0000 0001 0708 9739Department of Forensic Sciences, College of Criminal Justice, Naïf Arab University of Security Sciences, Riyadh, 11452 Kingdom of Saudi Arabia
| | - Chuan-Chao Wang
- grid.12955.3a0000 0001 2264 7233Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
| | - Atif Adnan
- grid.12955.3a0000 0001 2264 7233Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China ,grid.472319.a0000 0001 0708 9739Department of Forensic Sciences, College of Criminal Justice, Naïf Arab University of Security Sciences, Riyadh, 11452 Kingdom of Saudi Arabia
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28
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Liu J, Jiang L, Zhao M, Du W, Wen Y, Li S, Zhang S, Fang F, Shen J, He G, Wang M, Dai H, Hou Y, Wang Z. Development and validation of a custom panel including 256 Y-SNPs for Chinese Y-chromosomal haplogroups dissection. Forensic Sci Int Genet 2022; 61:102786. [DOI: 10.1016/j.fsigen.2022.102786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 08/25/2022] [Accepted: 10/04/2022] [Indexed: 11/04/2022]
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Gopalakrishnan S, Ebenesersdóttir SS, Lundstrøm IKC, Turner-Walker G, Moore KHS, Luisi P, Margaryan A, Martin MD, Ellegaard MR, Magnússon ÓÞ, Sigurðsson Á, Snorradóttir S, Magnúsdóttir DN, Laffoon JE, van Dorp L, Liu X, Moltke I, Ávila-Arcos MC, Schraiber JG, Rasmussen S, Juan D, Gelabert P, de-Dios T, Fotakis AK, Iraeta-Orbegozo M, Vågene ÅJ, Denham SD, Christophersen A, Stenøien HK, Vieira FG, Liu S, Günther T, Kivisild T, Moseng OG, Skar B, Cheung C, Sandoval-Velasco M, Wales N, Schroeder H, Campos PF, Guðmundsdóttir VB, Sicheritz-Ponten T, Petersen B, Halgunset J, Gilbert E, Cavalleri GL, Hovig E, Kockum I, Olsson T, Alfredsson L, Hansen TF, Werge T, Willerslev E, Balloux F, Marques-Bonet T, Lalueza-Fox C, Nielsen R, Stefánsson K, Helgason A, Gilbert MTP. The population genomic legacy of the second plague pandemic. Curr Biol 2022; 32:4743-4751.e6. [PMID: 36182700 DOI: 10.1016/j.cub.2022.09.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/15/2022] [Accepted: 09/09/2022] [Indexed: 11/18/2022]
Abstract
Human populations have been shaped by catastrophes that may have left long-lasting signatures in their genomes. One notable example is the second plague pandemic that entered Europe in ca. 1,347 CE and repeatedly returned for over 300 years, with typical village and town mortality estimated at 10%-40%.1 It is assumed that this high mortality affected the gene pools of these populations. First, local population crashes reduced genetic diversity. Second, a change in frequency is expected for sequence variants that may have affected survival or susceptibility to the etiologic agent (Yersinia pestis).2 Third, mass mortality might alter the local gene pools through its impact on subsequent migration patterns. We explored these factors using the Norwegian city of Trondheim as a model, by sequencing 54 genomes spanning three time periods: (1) prior to the plague striking Trondheim in 1,349 CE, (2) the 17th-19th century, and (3) the present. We find that the pandemic period shaped the gene pool by reducing long distance immigration, in particular from the British Isles, and inducing a bottleneck that reduced genetic diversity. Although we also observe an excess of large FST values at multiple loci in the genome, these are shaped by reference biases introduced by mapping our relatively low genome coverage degraded DNA to the reference genome. This implies that attempts to detect selection using ancient DNA (aDNA) datasets that vary by read length and depth of sequencing coverage may be particularly challenging until methods have been developed to account for the impact of differential reference bias on test statistics.
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Affiliation(s)
- Shyam Gopalakrishnan
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark.
| | - S Sunna Ebenesersdóttir
- deCODE Genetics, AMGEN Inc., Sturlugata 8, 102 Reykjavík, Iceland; Department of Anthropology, School of Social Sciences, University of Iceland, Gimli, Sæmundargata, 102 Reykjavík, Iceland
| | - Inge K C Lundstrøm
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Gordon Turner-Walker
- National Yunlin University of Science & Technology, 123 University Road, Section 3, 64002 Douliu, Yun-Lin County, Taiwan; Department of Archaeology and Anthropology, National Museum of Natural Science, 1 Guanqian Road, North District Taichung City 404023, Taiwan
| | | | - Pierre Luisi
- Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, Argentina; Microbial Paleogenomics Unit, Institut Pasteur, 25-28 Rue du Dr Roux, 75015 Paris, France
| | - Ashot Margaryan
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Michael D Martin
- NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Martin Rene Ellegaard
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | | | | | | | | | - Jason E Laffoon
- Department of Archaeological Sciences, Faculty of Archaeology, Leiden University, Leiden, the Netherlands
| | - Lucy van Dorp
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Xiaodong Liu
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark
| | - Ida Moltke
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark
| | - María C Ávila-Arcos
- International Laboratory for Human Genome Research, Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), Universidad Nacional Autónoma de México (UNAM), 3001 Boulevard Juriquilla, 76230 Querétaro, Mexico
| | - Joshua G Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina Inc., San Diego, CA, USA
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark
| | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Pere Gelabert
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain; Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Toni de-Dios
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Anna K Fotakis
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Miren Iraeta-Orbegozo
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Åshild J Vågene
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany; Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | | | - Axel Christophersen
- NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Hans K Stenøien
- NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Filipe G Vieira
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Shanlin Liu
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Torsten Günther
- Evolutionsbiologisk Centrum EBC, Norbyv. 18A, 752 36 Uppsala, Sweden
| | - Toomas Kivisild
- KU Leuven, Herestraat 49, 3000 Leuven, Belgium; Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Ole Georg Moseng
- Department of Business, History and Social Sciences, University of South-Eastern Norway, Notodden, Norway
| | - Birgitte Skar
- NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
| | - Christina Cheung
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; EA - Eco-anthropologie (UMR 7206), Muséum National d'Histoire Naturelle, CNRS, Université Paris Diderot, Paris, France
| | - Marcela Sandoval-Velasco
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Nathan Wales
- Department of Archaeology, Kings Manor and Principals House, University of York, Exhibition Square, York YO1 7EP, UK
| | - Hannes Schroeder
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark
| | - Paula F Campos
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, Matosinhos, Portugal
| | - Valdís B Guðmundsdóttir
- deCODE Genetics, AMGEN Inc., Sturlugata 8, 102 Reykjavík, Iceland; Department of Anthropology, School of Social Sciences, University of Iceland, Gimli, Sæmundargata, 102 Reykjavík, Iceland
| | - Thomas Sicheritz-Ponten
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, Asian Institute of Medicine, Science and Technology (AIMST), 08100 Bedong, Kedah, Malaysia
| | - Bent Petersen
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, Asian Institute of Medicine, Science and Technology (AIMST), 08100 Bedong, Kedah, Malaysia
| | | | - Edmund Gilbert
- School of Pharmacy and Biomolecular Sciences, RCSI, Dublin, Ireland; FutureNeuro SFI Research Centre, RCSI, Dublin, Ireland
| | - Gianpiero L Cavalleri
- School of Pharmacy and Biomolecular Sciences, RCSI, Dublin, Ireland; FutureNeuro SFI Research Centre, RCSI, Dublin, Ireland
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Ingrid Kockum
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Thomas F Hansen
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark; Danish Headache Center, Department of Neurology, Copenhagen University Hospital, 2600 Glostrup, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark; The Globe Institute, Lundbeck Foundation Center for Geogenetics, Øster Voldgade 5-7, 1350 Copenhagen K, Denmark
| | - Eske Willerslev
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Francois Balloux
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain; Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010 Barcelona, Spain; CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain; Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Carles Lalueza-Fox
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain; Museu de Ciències Naturals de Barcelona, 08019 Barcelona, Spain
| | - Rasmus Nielsen
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; Department of Integrative Biology, University of California, Berkeley, 3060 Valley Life Sciences Bldg #3140, Berkeley, CA 94720-3140, USA
| | - Kári Stefánsson
- deCODE Genetics, AMGEN Inc., Sturlugata 8, 102 Reykjavík, Iceland; Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Agnar Helgason
- deCODE Genetics, AMGEN Inc., Sturlugata 8, 102 Reykjavík, Iceland; Department of Anthropology, School of Social Sciences, University of Iceland, Gimli, Sæmundargata, 102 Reykjavík, Iceland
| | - M Thomas P Gilbert
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5A, 1353 Copenhagen, Denmark; NTNU University Museum, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
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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: 6] [Impact Index Per Article: 3.0] [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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Song M, Jiang L, Lyu Q, Ying J, Wang Z, Zhou Y, Song F, Luo H, Song X, Ying B. Developmental validation of the Microreader Group Y Direct ID System: A novel six‐dye typing system with 54 Y‐chromosomal loci for forensic application. Electrophoresis 2022; 43:2023-2032. [DOI: 10.1002/elps.202200109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/15/2022] [Accepted: 08/09/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Mengyuan Song
- Department of Laboratory Medicine West China Hospital Sichuan University Chengdu Sichuan P. R. China
| | - Lanrui Jiang
- Department of Forensic Genetics West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu Sichuan P. R. China
| | - Qiang Lyu
- Department of Clinical Laboratory People's Hospital of Beichuan Qiang Autonomous County Beichuan Sichuan P. R. China
| | - Jun Ying
- Department of Clinical Laboratory Santai People's Hospital Santai Sichuan P. R. China
| | - Zefei Wang
- Department of Forensic Genetics West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu Sichuan P. R. China
| | - Yuxiang Zhou
- Department of Forensic Genetics West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu Sichuan P. R. China
| | - Feng Song
- Department of Forensic Genetics West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu Sichuan P. R. China
| | - Haibo Luo
- Department of Forensic Genetics West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu Sichuan P. R. China
| | - Xingbo Song
- Department of Laboratory Medicine West China Hospital Sichuan University Chengdu Sichuan P. R. China
- Department of Clinical Laboratory Karamay Hospital of Integrated Traditional Chinese and Western Medicine (Karamay People's Hospital) Karamay Xinjiang P. R. China
| | - Binwu Ying
- Department of Laboratory Medicine West China Hospital Sichuan University Chengdu Sichuan P. R. China
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32
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Timmers PRHJ, Wilson JF. Limited Effect of Y Chromosome Variation on Coronary Artery Disease and Mortality in UK Biobank-Brief Report. Arterioscler Thromb Vasc Biol 2022; 42:1198-1206. [PMID: 35861954 PMCID: PMC9394501 DOI: 10.1161/atvbaha.122.317664] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND The effect of genetic variation in the male-specific region of the Y chromosome (MSY) on coronary artery disease and cardiovascular risk factors has been disputed. In this study, we systematically assessed the association of MSY genetic variation on these traits using a kin-cohort analysis of family disease history in the largest sample to date. METHODS We tested 90 MSY haplogroups against coronary artery disease, hypertension, blood pressure, classical lipid levels, and all-cause mortality in up to 152 186 unrelated, genomically British individuals from UK Biobank. Unlike previous studies, we did not adjust for heritable lifestyle factors (to avoid collider bias) and instead adjusted for geographic variables and socioeconomic deprivation, given the link between MSY haplogroups and geography. For family history traits, subject MSY haplogroups were tested against father and mother disease as validation and negative control, respectively. RESULTS Our models find little evidence for an effect of any MSY haplogroup on cardiovascular risk in participants. Parental models confirm these findings. CONCLUSIONS Kin-cohort analysis of the Y chromosome uniquely allows for discoveries in subjects to be validated using family history data. Despite our large sample size, improved models, and parental validation, there is little evidence to suggest cardiovascular risk in UK Biobank is influenced by genetic variation in MSY.
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Affiliation(s)
- Paul R H J Timmers
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer (P.R.H.J.T., J.F.W.), University of Edinburgh, United Kingdom.,Centre for Global Health Research, Usher Institute (P.R.H.J.T., J.F.W.), University of Edinburgh, United Kingdom
| | - James F Wilson
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer (P.R.H.J.T., J.F.W.), University of Edinburgh, United Kingdom.,Centre for Global Health Research, Usher Institute (P.R.H.J.T., J.F.W.), University of Edinburgh, United Kingdom
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33
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Paz Sepúlveda PB, Mayordomo AC, Sala C, Sosa EJ, Zaiat JJ, Cuello M, Schwab M, Rodríguez Golpe D, Aquilano E, Santos MR, Dipierri JE, Alfaro Gómez EL, Bravi CM, Muzzio M, Bailliet G. Human Y chromosome sequences from Q Haplogroup reveal a South American settlement pre-18,000 years ago and a profound genomic impact during the Younger Dryas. PLoS One 2022; 17:e0271971. [PMID: 35976870 PMCID: PMC9385064 DOI: 10.1371/journal.pone.0271971] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 07/11/2022] [Indexed: 11/18/2022] Open
Abstract
The settlement of the Americas has been the focus of incessant debate for more than 100 years, and open questions regarding the timing and spatial patterns of colonization still remain today. Phylogenetic studies with complete human Y chromosome sequences are used as a highly informative tool to investigate the history of human populations in a given time frame. To study the phylogenetic relationships of Native American lineages and infer the settlement history of the Americas, we analyzed Y chromosome Q Haplogroup, which is a Pan-American haplogroup and represents practically all Native American lineages in Mesoamerica and South America. We built a phylogenetic tree for Q Haplogroup based on 102 whole Y chromosome sequences, of which 13 new Argentine sequences were provided by our group. Moreover, 1,072 new single nucleotide polymorphisms (SNPs) that contribute to its resolution and diversity were identified. Q-M848 is known to be the most frequent autochthonous sub-haplogroup of the Americas. The present is the first genomic study of Q Haplogroup in which current knowledge on Q-M848 sub-lineages is contrasted with the historical, archaeological and linguistic data available. The divergence times, spatial structure and the SNPs found here as novel for Q-Z780, a less frequent sub-haplogroup autochthonous of the Americas, provide genetic support for a South American settlement before 18,000 years ago. We analyzed how environmental events that occurred during the Younger Dryas period may have affected Native American lineages, and found that this event may have caused a substantial loss of lineages. This could explain the current low frequency of Q-Z780 (also perhaps of Q-F4674, a third possible sub-haplogroup autochthonous of the Americas). These environmental events could have acted as a driving force for expansion and diversification of the Q-M848 sub-lineages, which show a spatial structure that developed during the Younger Dryas period.
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Affiliation(s)
- Paula B. Paz Sepúlveda
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - Andrea Constanza Mayordomo
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
- Programa de Cáncer Hereditario, Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Camila Sala
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - Ezequiel Jorge Sosa
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Jonathan Javier Zaiat
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Mariela Cuello
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - Marisol Schwab
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - Daniela Rodríguez Golpe
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - Eliana Aquilano
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - María Rita Santos
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
| | - José Edgardo Dipierri
- Instituto de Biología de la Altura, Facultad de Humanidades y Ciencias Sociales, Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
| | - Emma L. Alfaro Gómez
- Instituto de Biología de la Altura, Facultad de Humanidades y Ciencias Sociales, Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
- Instituto de Ecorregiones Andinas, Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
| | - Claudio M. Bravi
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
- Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
| | - Marina Muzzio
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
- Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
| | - Graciela Bailliet
- Instituto Multidisciplinario de Biología Celular, Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas, Comisión de Investigaciones Científicas, La Plata, Buenos Aires, Argentina
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Doniec A, Januła M, Grzmil P, Kupiec T. Assessing the utility of quantitative and qualitative metrics in the DNA quantification process of skeletal remains for autosomal and Y-chromosome STR amplification purposes. Forensic Sci Int Genet 2022; 60:102751. [PMID: 35914369 DOI: 10.1016/j.fsigen.2022.102751] [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: 02/15/2022] [Revised: 06/30/2022] [Accepted: 07/25/2022] [Indexed: 11/20/2022]
Abstract
In historical cases, ancient DNA investigations and missing persons identification, teeth or bone samples are often the only and almost always the best biological material available for DNA typing. On the other hand, DNA obtained from bone material may be characterized by a high degradation index (DI) or its low content, or DNA tests cannot be repeated due to bone piece size limitation. That is often the effect of the environment in which the material was placed and the time during which exposure to unfavorable environmental factors took place. Therefore, it is very important to use appropriate procedures related to STR analysis. For our study, we selected 80 challenging bone samples. The amount of DNA was compared in qPCR using Quantifiler™ Trio DNA Quantification Kit and Investigator® Quantiplex® Pro RGQ. All qPCR results were confirmed by PCR-CE. The results of DNA concentrations and the assigned degradation index (DI) differed significantly within analyzed samples (~10%). Additionally, the Y-chromosome DI also differed from the autosomal DI in the samples. The difference in degradation indexes could explain the lower Y-chromosome amplification success rate compared to autosomal e.g. during human identification process. The results indicate that performing two DNA quantifications with the use of two different kits (primers sets) allows for a much more precise evaluation of the DNA quality and quantity in the isolate. We suggest that at least one of two suggested DNA concentration measurements should be based on an additional determination of the Y chromosome degradation index. Altogether, it allows for rational isolate management, especially when the volume is limited and the sample is unique.
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Affiliation(s)
- Andrzej Doniec
- Forensic Genetics Section, Institute of Forensic Research, Westerplatte 9, 31-033 Kraków, Poland; Laboratory of Genetics and Evolutionism, Institute of Zoology and Biomedical Research, Jagiellonian University, Gronostajowa 9, 30-387 Kraków, Poland.
| | - Miłosz Januła
- Forensic Genetics Section, Institute of Forensic Research, Westerplatte 9, 31-033 Kraków, Poland
| | - Paweł Grzmil
- Laboratory of Genetics and Evolutionism, Institute of Zoology and Biomedical Research, Jagiellonian University, Gronostajowa 9, 30-387 Kraków, Poland
| | - Tomasz Kupiec
- Forensic Genetics Section, Institute of Forensic Research, Westerplatte 9, 31-033 Kraków, Poland.
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Rowe TB, Stafford TW, Fisher DC, Enghild JJ, Quigg JM, Ketcham RA, Sagebiel JC, Hanna R, Colbert MW. Human Occupation of the North American Colorado Plateau ∼37,000 Years Ago. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.903795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Calibrating human population dispersals across Earth’s surface is fundamental to assessing rates and timing of anthropogenic impacts and distinguishing ecological phenomena influenced by humans from those that were not. Here, we describe the Hartley mammoth locality, which dates to 38,900–36,250 cal BP by AMS 14C analysis of hydroxyproline from bone collagen. We accept the standard view that elaborate stone technology of the Eurasian Upper Paleolithic was introduced into the Americas by arrival of the Native American clade ∼16,000 cal BP. It follows that if older cultural sites exist in the Americas, they might only be diagnosed using nuanced taphonomic approaches. We employed computed tomography (CT and μCT) and other state-of-the-art methods that had not previously been applied to investigating ancient American sites. This revealed multiple lines of taphonomic evidence suggesting that two mammoths were butchered using expedient lithic and bone technology, along with evidence diagnostic of controlled (domestic) fire. That this may be an ancient cultural site is corroborated by independent genetic evidence of two founding populations for humans in the Americas, which has already raised the possibility of a dispersal into the Americas by people of East Asian ancestry that preceded the Native American clade by millennia. The Hartley mammoth locality thus provides a new deep point of chronologic reference for occupation of the Americas and the attainment by humans of a near-global distribution.
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Lassek WD, Gaulin SJC. Substantial but Misunderstood Human Sexual Dimorphism Results Mainly From Sexual Selection on Males and Natural Selection on Females. Front Psychol 2022; 13:859931. [PMID: 35664212 PMCID: PMC9156798 DOI: 10.3389/fpsyg.2022.859931] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 03/28/2022] [Indexed: 01/05/2023] Open
Abstract
Human sexual dimorphism has been widely misunderstood. A large literature has underestimated the effect of differences in body composition and the role of male contest competition for mates. It is often assumed that sexually dimorphic traits reflect a history of sexual selection, but natural selection frequently builds different phenotypes in males and females. The relatively small sex difference in stature (∼7%) and its decrease during human evolution have been widely presumed to indicate decreased male contest competition for mates. However, females likely increased in stature relative to males in order to successfully deliver large-brained neonates through a bipedally-adapted pelvis. Despite the relatively small differences in stature and body mass (∼16%), there are marked sex differences in body composition. Across multiple samples from groups with different nutrition, males typically have 36% more lean body mass, 65% more muscle mass, and 72% more arm muscle than women, yielding parallel sex differences in strength. These sex differences in muscle and strength are comparable to those seen in primates where sexual selection, arising from aggressive male mating competition, has produced high levels of dimorphism. Body fat percentage shows a reverse pattern, with females having ∼1.6 times more than males and depositing that fat in different body regions than males. We argue that these sex differences in adipose arise mainly from natural selection on women to accumulate neurodevelopmental resources.
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Affiliation(s)
| | - Steven J. C. Gaulin
- Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States
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Tang W, Zhang Y, Wang J, Zhao Y, Xu X, Liu C, Liu Y, Zhang X. High-Selectivity Single-Nucleotide Variant Capture Technology Based on the DNA Reaction Network. Anal Chem 2022; 94:5838-5845. [PMID: 35385254 DOI: 10.1021/acs.analchem.1c05280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The extremely low abundance of circulating tumor DNA in blood samples has limited the development of liquid biopsy techniques for the early diagnosis of major diseases. In this study, we demonstrate a DRN-based screening technique, SCREEN, which achieves the specific capture and enrichment of low abundance SNV nucleic acid samples without selective amplification. The SCREEN technique achieved a 108-fold increase in the abundance of single-nucleotide variant (SNV) nucleic acids from highly homologous mixtures (from 0.01% to 1.08%) and has been shown to significantly increase the abundance of SNV nucleic acids from 0.1% to 51% further through two rounds of capture. As a highly effective pre-enrichment technique, SCREEN has demonstrated the ability to enhance NGS in detecting an ultralow abundance SNV nucleic acid powerfully and has high compatibility with existing molecular diagnostic methods.
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Affiliation(s)
- Weiyang Tang
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060.,School of Chemistry Science and Engineering, Tongji University, Shanghai, China, 200092
| | - Yibin Zhang
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Jiachun Wang
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Yi Zhao
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Xiaoling Xu
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Conghui Liu
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Yizhen Liu
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
| | - Xueji Zhang
- Research Center For Nanosensor Molecular Diagnostic & Treatment Technology, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong, China, 518060
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Testing the Ion AmpliSeq™ HID Y-SNP Research Panel v1 for performance and resolution in admixed South Americans of haplogroup Q. Forensic Sci Int Genet 2022; 59:102708. [DOI: 10.1016/j.fsigen.2022.102708] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/04/2022] [Accepted: 04/11/2022] [Indexed: 11/18/2022]
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Y-SNP Haplogroup Hierarchy Finder: a web tool for Y-SNP haplogroup assignment. J Hum Genet 2022; 67:487-493. [DOI: 10.1038/s10038-022-01033-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/03/2022] [Accepted: 03/09/2022] [Indexed: 11/08/2022]
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Adnan A, Rakha A, Lazim H, Nazir S, Al-Qahtani WS, Abdullah Alwaili M, Hadi S, Wang CC. Are Roma People Descended from the Punjab Region of Pakistan: A Y-Chromosomal Perspective. Genes (Basel) 2022; 13:genes13030532. [PMID: 35328085 PMCID: PMC8951058 DOI: 10.3390/genes13030532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 02/01/2023] Open
Abstract
Gypsies are a separate ethnic group living in Pakistan and some other countries as well. They are mostly known as ‘Roma’ and ‘untouchables’. They have different types of lifestyles as compared to other common people, as they always keep migrating from one place to another. They do not have proper houses; they live in tent houses and most probably work on daily wages to earn their living. Gypsies cannot be specified according to the place of residence and can only be classified according to their migration route. Previous historical and linguistic research showed the north Indian origin of Roma people. The present study collected 285 unrelated Roma individuals living in Punjab and typed with the Goldeneye Y20 system. Allelic frequencies ranged between 0.0035 and 0.5266, with haplotype diversity (HD) of 0.9999 and discrimination capacity (DC) of 0.8790. Gene diversity (GD) ranged from 0.6489 (DYS391) to 0.9764 (DYS391) (DY385ab). A total of 223 unique alleles were observed. Interestingly, the haplogroup R accounted for 40.56% and J for 22.06%. In MDS analysis, Pakistani Roma formed a close cluster with Roma from Constanta, Romania. The migration pattern of the Roma population from Pakistan, India and Europe was inferred using coalescence theory in the Migrate-n program. Overlapping Y-STR data were used to test different migration models. These migration models showed us the dominant gene flow from Pakistan to India and Europe to Pakistan. The results of our study showed that Y STRs provided substantially stronger discriminatory power in the Pakistani Roma population.
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Affiliation(s)
- Atif Adnan
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen 361000, China
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh 11452, Saudi Arabia; (W.S.A.-Q.); (S.H.)
- Correspondence: (A.A.); (C.-C.W.)
| | - Allah Rakha
- Department of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan; (A.R.); (S.N.)
| | - Hayder Lazim
- Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk L39 4QP, UK;
| | - Shahid Nazir
- Department of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan; (A.R.); (S.N.)
| | - Wedad Saeed Al-Qahtani
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh 11452, Saudi Arabia; (W.S.A.-Q.); (S.H.)
| | - Maha Abdullah Alwaili
- Department of Biology, College of Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia;
| | - Sibte Hadi
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh 11452, Saudi Arabia; (W.S.A.-Q.); (S.H.)
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen 361000, China
- Correspondence: (A.A.); (C.-C.W.)
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Karmin M, Flores R, Saag L, Hudjashov G, Brucato N, Crenna-Darusallam C, Larena M, Endicott PL, Jakobsson M, Lansing JS, Sudoyo H, Leavesley M, Metspalu M, Ricaut FX, Cox MP. Episodes of Diversification and Isolation in Island Southeast Asian and Near Oceanian Male Lineages. Mol Biol Evol 2022; 39:msac045. [PMID: 35294555 PMCID: PMC8926390 DOI: 10.1093/molbev/msac045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Island Southeast Asia (ISEA) and Oceania host one of the world's richest assemblages of human phenotypic, linguistic, and cultural diversity. Despite this, the region's male genetic lineages are globally among the last to remain unresolved. We compiled ∼9.7 Mb of Y chromosome (chrY) sequence from a diverse sample of over 380 men from this region, including 152 first reported here. The granularity of this data set allows us to fully resolve and date the regional chrY phylogeny. This new high-resolution tree confirms two main population bursts: multiple rapid diversifications following the region's initial settlement ∼50 kya, and extensive expansions <6 kya. Notably, ∼40-25 kya the deep rooting local lineages of C-M130, M-P256, and S-B254 show almost no further branching events in ISEA, New Guinea, and Australia, matching a similar pause in diversification seen in maternal mitochondrial DNA lineages. The main local lineages start diversifying ∼25 kya, at the time of the last glacial maximum. This improved chrY topology highlights localized events with important historical implications, including pre-Holocene contact between Mainland and ISEA, potential interactions between Australia and the Papuan world, and a sustained period of diversification following the flooding of the ancient Sunda and Sahul continents as the insular landscape observed today formed. The high-resolution phylogeny of the chrY presented here thus enables a detailed exploration of past isolation, interaction, and change in one of the world's least understood regions.
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Affiliation(s)
- Monika Karmin
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Rodrigo Flores
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Lauri Saag
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Georgi Hudjashov
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Nicolas Brucato
- Laboratoire Evolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Chelzie Crenna-Darusallam
- Genome Diversity and Disease Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
| | - Maximilian Larena
- Department of Organismal Biology, University of Uppsala, Uppsala, Sweden
| | - Phillip L Endicott
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Department Hommes Natures Societies, Musée de l’Homme, Paris, France
| | - Mattias Jakobsson
- Department of Organismal Biology, University of Uppsala, Uppsala, Sweden
| | - J Stephen Lansing
- Complexity Science Hub Vienna, Vienna, Austria
- Santa Fe Institute Center for Advanced Study in the Behavioral Sciences, Stanford University, Santa Fe, USA
| | - Herawati Sudoyo
- Genome Diversity and Disease Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
| | - Matthew Leavesley
- School of Humanities and Social Sciences, University of Papua New Guinea, National Capital District, Papua New Guinea
- CABAH and College of Arts, Society and Education, James Cook University, Cairns, QLD, Australia
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - François-Xavier Ricaut
- Laboratoire Evolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Murray P Cox
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
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42
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Sun W, Guo W, Liu Z, Qiao S, Wang Z, Wang J, Qu L, Shan L, Sun F, Xu S, Bai O, Liang C. Direct MYD88 L265P gene detection for diffuse large B-cell lymphoma (DLBCL) via a miniaturised CRISPR/dCas9-based sensing chip. LAB ON A CHIP 2022; 22:768-776. [PMID: 35073397 DOI: 10.1039/d1lc01055g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Traditional methods for single-nucleotide variants based on amplification and fluorescence signals require expensive reagents and cumbersome instruments, and they are time-consuming for each trial. Here, a porous anodised aluminium (PAA)-based sensing chip modified with deactivated Cas9 (dCas9) proteins and synthetic guide RNA (sgRNA) as the biorecognition receptor is developed, which can be used for the label-free sensing of the diffuse large B-cell lymphoma (DLBCL) MYD88L265P gene by integrating with electrochemical ionic current rectification (ICR) measurement. The sgRNA that can specifically identify and capture the MYD88L265P gene was screened, which has been proved to be workable to activate dCas9 for the target MYD88L265P. In the sensing process, the dCas9 proteins can capture the genome sequence, thus bringing negative charges over the PAA chip and correspondingly resulting in a variation in the ICR value due to the uneven transport of potassium anions through the ion channels of the PAA chip. The whole sensing can be finished within 40 min, and there is no need for gene amplification. The CRISPR/dCas9-based sensor demonstrates ultrasensitive detection performance in the concentration range of 50 to 200 ng μL-1 and it has been proved to be feasible for the genome sequence of patient tissues. This sensor shows the potential of targeting other mutations by designing the corresponding sgRNAs and expands the applications of CRISPR/dCas9 technology to the on-chip electrical detection of nucleic acids, which will be very valuable for rapid diagnosis of clinically mutated genes. This makes the hybrid CRISPR-PAA chip an ideal candidate for next-generation nucleic acid biosensors.
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Affiliation(s)
- Weihan Sun
- Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, 1266 Fujin Road, 130021 Changchun, China.
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Wei Guo
- Department of Hematology, The First Hospital of Jilin University, Jilin University, 71 Xinmin Street, 130021 Changchun, China.
| | - Zhiyi Liu
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Sennan Qiao
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Ziming Wang
- Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, 1266 Fujin Road, 130021 Changchun, China.
| | - Jiayu Wang
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Lingxuan Qu
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Liang Shan
- Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, 1266 Fujin Road, 130021 Changchun, China.
| | - Fei Sun
- Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, 1266 Fujin Road, 130021 Changchun, China.
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, 2699 Qianjin Ave., 130012 Changchun, China.
| | - Ou Bai
- Department of Hematology, The First Hospital of Jilin University, Jilin University, 71 Xinmin Street, 130021 Changchun, China.
| | - Chongyang Liang
- Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, 1266 Fujin Road, 130021 Changchun, China.
- Institute of Frontier Medical Science, Jilin University, 1163 Xinmin Street, 130021 Changchun, China
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Aneli S, Saupe T, Montinaro F, Solnik A, Molinaro L, Scaggion C, Carrara N, Raveane A, Kivisild T, Metspalu M, Scheib CL, Pagani L. The Genetic Origin of Daunians and the Pan-Mediterranean Southern Italian Iron Age Context. Mol Biol Evol 2022; 39:msac014. [PMID: 35038748 PMCID: PMC8826970 DOI: 10.1093/molbev/msac014] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
The geographical location and shape of Apulia, a narrow land stretching out in the sea at the South of Italy, made this region a Mediterranean crossroads connecting Western Europe and the Balkans. Such movements culminated at the beginning of the Iron Age with the Iapygian civilization which consisted of three cultures: Peucetians, Messapians, and Daunians. Among them, the Daunians left a peculiar cultural heritage, with one-of-a-kind stelae and pottery, but, despite the extensive archaeological literature, their origin has been lost to time. In order to shed light on this and to provide a genetic picture of Iron Age Southern Italy, we collected and sequenced human remains from three archaeological sites geographically located in Northern Apulia (the area historically inhabited by Daunians) and radiocarbon dated between 1157 and 275 calBCE. We find that Iron Age Apulian samples are still distant from the genetic variability of modern-day Apulians, they show a degree of genetic heterogeneity comparable with the cosmopolitan Republican and Imperial Roman civilization, even though a few kilometers and centuries separate them, and they are well inserted into the Iron Age Pan-Mediterranean genetic landscape. Our study provides for the first time a window on the genetic make-up of pre-Roman Apulia, whose increasing connectivity within the Mediterranean landscape, would have contributed to laying the foundation for modern genetic variability. In this light, the genetic profile of Daunians may be compatible with an at least partial autochthonous origin, with plausible contributions from the Balkan peninsula.
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Affiliation(s)
- Serena Aneli
- Department of Biology, University of Padua, Padova, Italy
| | - Tina Saupe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Biology-Genetics, University of Bari, Bari, Italy
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ludovica Molinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Cinzia Scaggion
- Department of Geosciences, University of Padua, Padova, Italy
| | - Nicola Carrara
- Anthropology Museum, University of Padova, Padova, Italy
| | - Alessandro Raveane
- Laboratory of Hematology-Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Christiana L Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- St John’s College, Cambridge, United Kingdom
| | - Luca Pagani
- Department of Biology, University of Padua, Padova, Italy
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
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Guellil M, Keller M, Dittmar JM, Inskip SA, Cessford C, Solnik A, Kivisild T, Metspalu M, Robb JE, Scheib CL. An invasive Haemophilus influenzae serotype b infection in an Anglo-Saxon plague victim. Genome Biol 2022; 23:22. [PMID: 35109894 PMCID: PMC8812261 DOI: 10.1186/s13059-021-02580-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 12/13/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The human pathogen Haemophilus influenzae was the main cause of bacterial meningitis in children and a major cause of worldwide infant mortality before the introduction of a vaccine in the 1980s. Although the occurrence of serotype b (Hib), the most virulent type of H. influenzae, has since decreased, reports of infections with other serotypes and non-typeable strains are on the rise. While non-typeable strains have been studied in-depth, very little is known of the pathogen's evolutionary history, and no genomes dating prior to 1940 were available. RESULTS We describe a Hib genome isolated from a 6-year-old Anglo-Saxon plague victim, from approximately 540 to 550 CE, Edix Hill, England, showing signs of invasive infection on its skeleton. We find that the genome clusters in phylogenetic division II with Hib strain NCTC8468, which also caused invasive disease. While the virulence profile of our genome was distinct, its genomic similarity to NCTC8468 points to mostly clonal evolution of the clade since the 6th century. We also reconstruct a partial Yersinia pestis genome, which is likely identical to a published first plague pandemic genome of Edix Hill. CONCLUSIONS Our study presents the earliest genomic evidence for H. influenzae, points to the potential presence of larger genomic diversity in the phylogenetic division II serotype b clade in the past, and allows the first insights into the evolutionary history of this major human pathogen. The identification of both plague and Hib opens questions on the effect of plague in immunocompromised individuals already affected by infectious diseases.
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Affiliation(s)
- Meriam Guellil
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia.
| | - Marcel Keller
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia.
| | - Jenna M Dittmar
- McDonald Institute for Archaeological Research, University of Cambridge, Downing Street, Cambridge, CB2 3ER, UK
- Department of Archaeology, University of Aberdeen, St. Mary's, Elphinstone Road, Aberdeen, Scotland, AB24 3UF, UK
| | - Sarah A Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Downing Street, Cambridge, CB2 3ER, UK
- School of Archaeology and Ancient History, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Craig Cessford
- McDonald Institute for Archaeological Research, University of Cambridge, Downing Street, Cambridge, CB2 3ER, UK
- Cambridge Archaeological Unit, University of Cambridge, 34 A&B Storey's Way, Cambridge, CB3 0DT, UK
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia
| | - John E Robb
- Department of Archaeology, University of Cambridge, Downing Street, Cambridge, CB2 3DZ, UK
| | - Christiana L Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23B, 51010, Tartu, Estonia.
- St John's College, University of Cambridge, St John's Street, Cambridge, CB2 1TP, UK.
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45
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Abstract
Joint phylogenetic analysis of ancient DNA (aDNA) with modern phylogenies is hampered by low sequence coverage and post-mortem deamination, often resulting in overconservative or incorrect assignment. We provide a new efficient likelihood-based workflow, pathPhynder, that takes advantage of all the polymorphic sites in the target sequence. This effectively evaluates the number of ancestral and derived alleles present on each branch and reports the most likely placement of an ancient sample in the phylogeny and a haplogroup assignment, together with alternatives and supporting evidence. To illustrate the application of pathPhynder, we show improved Y chromosome assignments for published aDNA sequences, using a newly compiled Y variation data set (120,908 markers from 2,014 samples) that significantly enhances Y haplogroup assignment for low coverage samples. We apply the method to all published male aDNA samples from Africa, giving new insights into ancient migrations and the relationships between ancient and modern populations. The same software can be used to place samples with large amounts of missing data into other large non-recombining phylogenies such as the mitochondrial tree.
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Affiliation(s)
- Rui Martiniano
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Bianca De Sanctis
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - Pille Hallast
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
- Wellcome Sanger Institute, Hinxton, Cambridge, United Kingdom
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
- Wellcome Sanger Institute, Hinxton, Cambridge, United Kingdom
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46
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Zeng Y, Chen L, Wang M, Yang C, Liu H, Xiao C, Liu C, Li Y, Xu Q, Du W, Liu C. The Validation of a Single Multiplex Typing System With 45 Y-STR Markers for Familial Searching and Database Construction. Front Genet 2022; 13:842004. [PMID: 35154290 PMCID: PMC8829124 DOI: 10.3389/fgene.2022.842004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/07/2022] [Indexed: 11/13/2022] Open
Abstract
The Y-chromosomal short tandem repeat (Y-STR) is an effective forensic tool in familial searches and patrilineal relationship evaluation. However, currently available Y-STR panels often lack sufficient discriminatory power to resolve genetic relationships between distant relatives or within patrilocal populations. This study aims to establish a novel Y-STR amplification system for forensic casework analysis and database construction, which contains 44 slowly and moderately mutating and one rapidly mutating Y-STR. The validation of the assay was conducted following the recommendations of SWGDAM developmental validation guidelines. Different types of casework samples were tested and reliable profiles were obtained. Furthermore, we genotyped and analyzed 141 unrelated Han Chinese male samples. The results showed that this Y45 kit could improve the performance of identifying male individuals, higher haplotype diversity, and discrimination capacity when compared to the previous widely used Yfiler Plus kit. In general, the validation study demonstrated that the newly developed Y45 kit possesses high sensitivity, inhibitor tolerance, male specificity in a mixture, species specificity, and precision and is capable of forensic casework analysis and database construction.
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Affiliation(s)
- Ying Zeng
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Ling Chen
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou, China
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Chengliang Yang
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Hong Liu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Cheng Xiao
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - ChangHui Liu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Yue Li
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Weian Du
- Guangdong Homy Genetics Incorporation, Foshan, China
| | - Chao Liu
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Guangzhou Forensic Science Institute, Guangzhou, China
- *Correspondence: Chao Liu,
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47
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Contrasting maternal and paternal genetic histories among five ethnic groups from Khyber Pakhtunkhwa, Pakistan. Sci Rep 2022; 12:1027. [PMID: 35046511 PMCID: PMC8770644 DOI: 10.1038/s41598-022-05076-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 12/10/2021] [Indexed: 11/24/2022] Open
Abstract
Northwest Pakistan has served as a point of entry to South Asia for different populations since ancient times. However, relatively little is known about the population genetic history of the people residing within this region. To better understand human dispersal in the region within the broader history of the subcontinent, we analyzed mtDNA diversity in 659 and Y-chromosome diversity in 678 individuals, respectively, from five ethnic groups (Gujars, Jadoons, Syeds, Tanolis and Yousafzais), from Swabi and Buner Districts, Khyber Pakhtunkhwa Province, Pakistan. The mtDNAs of all individuals were subject to control region sequencing and SNP genotyping, while Y-chromosomes were analyzed using 54 SNPs and 19 STR loci. The majority of the mtDNAs belonged to West Eurasian haplogroups, with the rest belonging to either South or East Asian lineages. Four of the five Pakistani populations (Gujars, Jadoons, Syeds, Yousafzais) possessed strong maternal genetic affinities with other Pakistani and Central Asian populations, whereas one (Tanolis) did not. Four haplogroups (R1a, R1b, O3, L) among the 11 Y-chromosome lineages observed among these five ethnic groups contributed substantially to their paternal genetic makeup. Gujars, Syeds and Yousafzais showed strong paternal genetic affinities with other Pakistani and Central Asian populations, whereas Jadoons and Tanolis had close affinities with Turkmen populations from Central Asia and ethnic groups from northeast India. We evaluate these genetic data in the context of historical and archeological evidence to test different hypotheses concerning their origins and biological relationships.
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48
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Tang X, Ying R, Yao X, Li G, Wu C, Tang Y, Li Z, Kuang B, Wu F, Chi C, Du X, Qin Y, Gao S, Hu S, Ma J, Liu T, Pang X, Wang J, Zhao G, Tan W, Zhang Y, Lu X, Lu J. Evolutionary analysis and lineage designation of SARS-CoV-2 genomes. Sci Bull (Beijing) 2021; 66:2297-2311. [PMID: 33585048 PMCID: PMC7864783 DOI: 10.1016/j.scib.2021.02.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/03/2021] [Accepted: 02/01/2021] [Indexed: 12/24/2022]
Abstract
The pandemic due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of coronavirus disease 2019 (COVID-19), has caused immense global disruption. With the rapid accumulation of SARS-CoV-2 genome sequences, however, thousands of genomic variants of SARS-CoV-2 are now publicly available. To improve the tracing of the viral genomes' evolution during the development of the pandemic, we analyzed single nucleotide variants (SNVs) in 121,618 high-quality SARS-CoV-2 genomes. We divided these viral genomes into two major lineages (L and S) based on variants at sites 8782 and 28144, and further divided the L lineage into two major sublineages (L1 and L2) using SNVs at sites 3037, 14408, and 23403. Subsequently, we categorized them into 130 sublineages (37 in S, 35 in L1, and 58 in L2) based on marker SNVs at 201 additional genomic sites. This lineage/sublineage designation system has a hierarchical structure and reflects the relatedness among the subclades of the major lineages. We also provide a companion website (www.covid19evolution.net) that allows users to visualize sublineage information and upload their own SARS-CoV-2 genomes for sublineage classification. Finally, we discussed the possible roles of compensatory mutations and natural selection during SARS-CoV-2's evolution. These efforts will improve our understanding of the temporal and spatial dynamics of SARS-CoV-2's genome evolution.
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Affiliation(s)
- Xiaolu Tang
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Ruochen Ying
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Xinmin Yao
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Guanghao Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Changcheng Wu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yiyuli Tang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Zhida Li
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Bishan Kuang
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Feng Wu
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Changsheng Chi
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Xiaoman Du
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Yi Qin
- Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China
| | - Shenghan Gao
- State Key Laboratory of Microbial Resources (SKLMR), The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Songnian Hu
- State Key Laboratory of Microbial Resources (SKLMR), The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Juncai Ma
- The Microresource and Big Data Center, The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tiangang Liu
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China
| | - Xinghuo Pang
- Beijing Center for Disease Prevention and Control (CDC) & Research Center for Preventive Medicine of Beijing, Beijing 100013, China
| | - Jianwei Wang
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Guoping Zhao
- Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Wenjie Tan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yaping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Xuemei Lu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Jian Lu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
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49
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Bonito M, D’Atanasio E, Ravasini F, Cariati S, Finocchio A, Novelletto A, Trombetta B, Cruciani F. New insights into the evolution of human Y chromosome palindromes through mutation and gene conversion. Hum Mol Genet 2021; 30:2272-2285. [PMID: 34244762 PMCID: PMC8600007 DOI: 10.1093/hmg/ddab189] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/01/2021] [Accepted: 07/05/2021] [Indexed: 12/16/2022] Open
Abstract
About one-quarter of the euchromatic portion of the male-specific region of the human Y chromosome consists of large duplicated sequences that are organized in eight palindromes (termed P1-P8), which undergo arm-to arm gene conversion, a proposed mechanism for maintaining their sequence integrity. Although the relevance of gene conversion in the evolution of palindromic sequences has been profoundly recognized, the dynamic of this mechanism is still nuanced. To shed light into the evolution of these genomic elements, we performed a high-depth (50×) targeted next-generation sequencing of the palindrome P6 in 157 subjects belonging to the most divergent evolutionary lineages of the Y chromosome. We found 118 new paralogous sequence variants, which were placed into the context of a robust Y chromosome phylogeny based on 7240 SNPs of the X-degenerate region. We mapped along the phylogeny 80 gene conversion events that shaped the diversity of P6 arms during recent human history. In contrast to previous studies, we demonstrated that arm-to-arm gene conversion, which occurs at a rate of 6.01 × 10 -6 conversions/base/year, is not biased toward the retention of the ancestral state of sequences. We also found a significantly lower mutation rate of the arms (6.18 × 10-10 mutations/base/year) compared with the spacer (9.16 × 10-10 mutations/base/year), a finding that may explain the observed higher inter-species conservation of arms, without invoking any bias of conversion. Finally, by formally testing the mutation/conversion balance in P6, we found that the arms of this palindrome reached a steady-state equilibrium between mutation and gene conversion.
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Affiliation(s)
- Maria Bonito
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome 0185, Italy
| | - Eugenia D’Atanasio
- Institute of Molecular Biology and Pathology (IBPM), CNR, Rome 0185, Italy
| | - Francesco Ravasini
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome 0185, Italy
| | - Selene Cariati
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome 0185, Italy
| | - Andrea Finocchio
- Department of Biology, University of Rome Tor Vergata, Rome 0133, Italy
| | - Andrea Novelletto
- Department of Biology, University of Rome Tor Vergata, Rome 0133, Italy
| | - Beniamino Trombetta
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome 0185, Italy
| | - Fulvio Cruciani
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome 0185, Italy
- Institute of Molecular Biology and Pathology (IBPM), CNR, Rome 0185, Italy
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50
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Montinaro F, Pankratov V, Yelmen B, Pagani L, Mondal M. Revisiting the out of Africa event with a deep-learning approach. Am J Hum Genet 2021; 108:2037-2051. [PMID: 34626535 PMCID: PMC8595897 DOI: 10.1016/j.ajhg.2021.09.006] [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: 03/29/2021] [Accepted: 09/09/2021] [Indexed: 10/20/2022] Open
Abstract
Anatomically modern humans evolved around 300 thousand years ago in Africa. They started to appear in the fossil record outside of Africa as early as 100 thousand years ago, although other hominins existed throughout Eurasia much earlier. Recently, several studies argued in favor of a single out of Africa event for modern humans on the basis of whole-genome sequence analyses. However, the single out of Africa model is in contrast with some of the findings from fossil records, which support two out of Africa events, and uniparental data, which propose a back to Africa movement. Here, we used a deep-learning approach coupled with approximate Bayesian computation and sequential Monte Carlo to revisit these hypotheses from the whole-genome sequence perspective. Our results support the back to Africa model over other alternatives. We estimated that there are two sequential separations between Africa and out of African populations happening around 60-90 thousand years ago and separated by 13-15 thousand years. One of the populations resulting from the more recent split has replaced the older West African population to a large extent, while the other one has founded the out of Africa populations.
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Affiliation(s)
- Francesco Montinaro
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Biology-Genetics, University of Bari, Bari 70124, Italy
| | - Vasili Pankratov
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Burak Yelmen
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia; Université Paris-Saclay, CNRS UMR 9015, INRIA, Laboratoire Interdisciplinaire des Sciences du Numérique, 91400 Orsay, France
| | - Luca Pagani
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Biology, University of Padova, Padova 35121, Italy
| | - Mayukh Mondal
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
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