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Zheng HX, Yan S, Zhang M, Gu Z, Wang J, Jin L. Mitochondrial DNA Genomes Reveal Relaxed Purifying Selection During Human Population Expansion after the Last Glacial Maximum. Mol Biol Evol 2024; 41:msae175. [PMID: 39162340 PMCID: PMC11373649 DOI: 10.1093/molbev/msae175] [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: 11/27/2023] [Revised: 07/31/2024] [Accepted: 08/06/2024] [Indexed: 08/21/2024] Open
Abstract
Modern humans have experienced explosive population growth in the past thousand years. We hypothesized that recent human populations have inhabited environments with relaxation of selective constraints, possibly due to the more abundant food supply after the Last Glacial Maximum. The ratio of nonsynonymous to synonymous mutations (N/S ratio) is a useful and common statistic for measuring selective constraints. In this study, we reconstructed a high-resolution phylogenetic tree using a total of 26,419 East Eurasian mitochondrial DNA genomes, which were further classified into expansion and nonexpansion groups on the basis of the frequencies of their founder lineages. We observed a much higher N/S ratio in the expansion group, especially for nonsynonymous mutations with moderately deleterious effects, indicating a weaker effect of purifying selection in the expanded clades. However, this observation on N/S ratio was unlikely in computer simulations where all individuals were under the same selective constraints. Thus, we argue that the expanded populations were subjected to weaker selective constraints than the nonexpanded populations were. The mildly deleterious mutations were retained during population expansion, which could have a profound impact on present-day disease patterns.
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Affiliation(s)
- Hong-Xiang Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Center for Evolutionary Biology, Fudan University, Shanghai, China
- Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
| | - Shi Yan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
- School of Ethnology and Sociology, Minzu University of China, Beijing, China
| | - Menghan Zhang
- Institute of Modern Languages and Linguistics, Fudan University, Shanghai, China
- Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China
| | - Zhenglong Gu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Center for Evolutionary Biology, Fudan University, Shanghai, China
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Center for Evolutionary Biology, Fudan University, Shanghai, China
- Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
- Research Unit of Dissecting Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Center for Evolutionary Biology, Fudan University, Shanghai, China
- Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
- Research Unit of Dissecting Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
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Li X, Zhang X, Yu T, Ye L, Huang T, Chen Y, Liu S, Wen Y. Whole mitochondrial genome analysis in highland Tibetans: further matrilineal genetic structure exploration. Front Genet 2023; 14:1221388. [PMID: 38034496 PMCID: PMC10682103 DOI: 10.3389/fgene.2023.1221388] [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: 05/12/2023] [Accepted: 08/21/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: The Qinghai-Tibet Plateau is one of the last terrestrial environments conquered by modern humans. Tibetans are among the few high-altitude settlers in the world, and understanding the genetic profile of Tibetans plays a pivotal role in studies of anthropology, genetics, and archaeology. Methods: In this study, we investigated the maternal genetic landscape of Tibetans based on the whole mitochondrial genome collected from 145 unrelated native Lhasa Tibetans. Molecular diversity indices, haplotype diversity (HD), Tajima's D and Fu's Fs were calculated and the Bayesian Skyline Plot was obtained to determining the genetic profile and population fluctuation of Lhasa Tibetans. To further explore the genetic structure of Lhasa Tibetans, we collected 107 East Asian reference populations to perform principal component analysis (PCA), multidimensional scaling (MDS), calculated Fst values and constructed phylogenetic tree. Results: The maternal genetic landscape of Tibetans showed obvious East Asian characteristics, M9a (28.28%), R (11.03%), F1 (12.41%), D4 (9.66%), N (6.21%), and M62 (4.14%) were the dominant haplogroups. The results of PCA, MDS, Fst and phylogenetic tree were consistent: Lhasa Tibetans clustered with other highland Tibeto-Burman speakers, there was obvious genetic homogeneity of Tibetans in Xizang, and genetic similarity between Tibetans and northern Han people and geographically adjacent populations was found. In addition, specific maternal lineages of Tibetans also be determined in this study. Discussion: In general, this study further shed light on long-time matrilineal continuity on the Tibetan Plateau and the genetic connection between Tibetans and millet famers in the Yellow River Basin, and further revealed that multiple waves of population interaction and admixture during different historical periods between lowland and highland populations shaped the maternal genetic profile of Tibetans.
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Affiliation(s)
- Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ting Yu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Liping Ye
- Department of Pathophysiology, Jinzhou Medical University, Jinzhou, China
| | - Ting Huang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Shuhan Liu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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The matrilineal ancestry of Nepali populations. Hum Genet 2023; 142:167-180. [PMID: 36242641 DOI: 10.1007/s00439-022-02488-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/17/2022] [Indexed: 11/04/2022]
Abstract
The Tibetan plateau and high mountain ranges of Nepal are one of the challenging geographical regions inhabited by modern humans. While much of the ethnographic and population-based genetic studies were carried out to investigate the Tibetan and Sherpa highlanders, little is known about the demographic processes that enabled the colonization of the hilly areas of Nepal. Thus, the present study aimed to investigate the past demographic events that shaped the extant Nepalese genetic diversity using mitochondrial DNA (mtDNA) variations from ethnic Nepalese groups. We have analyzed mtDNA sequences of 999 Nepalese and compared data with 38,622 published mtDNA sequences from rest of the world. Our analysis revealed that the genomic landscapes of prehistoric Himalayan settlers of Nepal were similar to that of the low-altitude extant Nepalese (LAN), especially Newar and Magar population groups, but differ from contemporary high-altitude Sherpas. LAN might have derived their East Eurasian ancestry mainly from low-altitude Tibeto-Burmans, who likely have migrated from East Asia and assimilated across the Eastern Himalayas extended from the Eastern Nepal to the North-East of India, Bhutan, Tibet and Northern Myanmar. We also identified a clear genetic sub-structure across different ethnic groups of Nepal based on mtDNA haplogroups and ectodysplasin-A receptor (EDAR) gene polymorphism. Our comprehensive high-resolution mtDNA-based genetic study of Tibeto-Burman communities reconstructs the maternal origins of prehistoric Himalayan populations and sheds light on migration events that have brought most of the East Eurasian ancestry to the present-day Nepalese population.
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Ancient DNA from Tubo Kingdom-related tombs in northeastern Tibetan Plateau revealed their genetic affinity to both Tibeto-Burman and Altaic populations. Mol Genet Genomics 2022; 297:1755-1765. [PMID: 36152077 DOI: 10.1007/s00438-022-01955-6] [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: 12/09/2021] [Accepted: 08/27/2022] [Indexed: 10/14/2022]
Abstract
The rise of the Tubo Kingdom is considered as the key period for the formation of modern groups on the Tibetan Plateau. The ethnic origin of the residents of the Tubo Kingdom is quite complex, and their genetic structure remains unclear. The tombs of the Tubo Kingdom period in Dulan County, Qinghai Province, dating back to the seventh century, are considered to be the remains left by Tubo conquerors or the Tuyuhun people dominated by the Tubo Kingdom. The human remains of these tombs are ideal materials for studying the population dynamics in the Tubo Kingdom. In this paper, we analyzed the genome-wide data of eight remains from these tombs by shotgun sequencing and multiplex PCR panels and compared the results with data of available ancient and modern populations across East Asia. Genetic continuity between ancient Dulan people with ancient Xianbei tribes in Northeast Asia, ancient settlers on the Tibetan Plateau, and modern Tibeto-Burman populations was found. Surprisingly, one out of eight individuals showed typical genetic features of populations from Central Asia. In summary, the genetic diversity of ancient Dulan people and their affiliations with other populations provide an example of the complex origin of the residents in the Tubo Kingdom and their long-distance connection with populations in a vast geographic region across ancient Asia.
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Aghakhanian F, Hoh BP, Yew CW, Kumar Subbiah V, Xue Y, Tyler-Smith C, Ayub Q, Phipps ME. Sequence analyses of Malaysian Indigenous communities reveal historical admixture between Hoabinhian hunter-gatherers and Neolithic farmers. Sci Rep 2022; 12:13743. [PMID: 35962005 PMCID: PMC9374673 DOI: 10.1038/s41598-022-17884-8] [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: 11/19/2021] [Accepted: 04/08/2022] [Indexed: 11/09/2022] Open
Abstract
Southeast Asia comprises 11 countries that span mainland Asia across to numerous islands that stretch from the Andaman Sea to the South China Sea and Indian Ocean. This region harbors an impressive diversity of history, culture, religion and biology. Indigenous people of Malaysia display substantial phenotypic, linguistic, and anthropological diversity. Despite this remarkable diversity which has been documented for centuries, the genetic history and structure of indigenous Malaysians remain under-studied. To have a better understanding about the genetic history of these people, especially Malaysian Negritos, we sequenced whole genomes of 15 individuals belonging to five indigenous groups from Peninsular Malaysia and one from North Borneo to high coverage (30X). Our results demonstrate that indigenous populations of Malaysia are genetically close to East Asian populations. We show that present-day Malaysian Negritos can be modeled as an admixture of ancient Hoabinhian hunter-gatherers and Neolithic farmers. We observe gene flow from South Asian populations into the Malaysian indigenous groups, but not into Dusun of North Borneo. Our study proposes that Malaysian indigenous people originated from at least three distinct ancestral populations related to the Hoabinhian hunter-gatherers, Neolithic farmers and Austronesian speakers.
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Affiliation(s)
- Farhang Aghakhanian
- MUM Genomics Facility, Monash University Malaysia, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia.,TropMed and Biology Multidisciplinary Platform, Monash University Malaysia, 47500, Bandar Sunway, Selangor, Malaysia.,Department of Medicine, Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Faculty of Medicine and Health Sciences, UCSI University, Jalan Menara Gading, Taman Connaught, 56000, Cheras, Kuala Lumpur, Malaysia.,Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 46150, Bandar Sunway, Selangor, Malaysia
| | - Boon-Peng Hoh
- Faculty of Medicine and Health Sciences, UCSI University, Jalan Menara Gading, Taman Connaught, 56000, Cheras, Kuala Lumpur, Malaysia
| | - Chee-Wei Yew
- Biotechnology Research Institute, University Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Vijay Kumar Subbiah
- Biotechnology Research Institute, University Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Yali Xue
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Chris Tyler-Smith
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Qasim Ayub
- MUM Genomics Facility, Monash University Malaysia, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia.,TropMed and Biology Multidisciplinary Platform, Monash University Malaysia, 47500, Bandar Sunway, Selangor, Malaysia
| | - Maude E Phipps
- MUM Genomics Facility, Monash University Malaysia, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia. .,Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 46150, Bandar Sunway, Selangor, Malaysia.
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Xue J, Wang W, Shao J, Dai X, Sun Z, Gardner JD, Chen L, Guo X, Di N, Pei X, Wu X, Zhang G, Cui C, Cao P, Liu F, Dai Q, Feng X, Yang R, Ping W, Zhang L, He N, Fu Q. Ancient Mitogenomes Reveal the Origins and Genetic Structure of the Neolithic Shimao Population in Northern China. Front Genet 2022; 13:909267. [PMID: 35692842 PMCID: PMC9185412 DOI: 10.3389/fgene.2022.909267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Shimao City is considered an important political and religious center during the Late Neolithic Longshan period of the Middle Yellow River basin. The genetic history and population dynamics among the Shimao and other ancient populations, especially the Taosi-related populations, remain unknown. Here, we sequenced 172 complete mitochondrial genomes, ranging from the Yangshao to Longshan period, from individuals related to the Shimao culture in northern Shaanxi Province and Taosi culture in southern Shanxi Province, Middle Yellow River basin. Our results show that the populations inhabiting Shimao City had close genetic connections with an earlier population in the Middle Neolithic Yangshao period of northern Shaanxi Province, revealing a mostly local origin for the Shimao Society. In addition, among the populations in other regions of the Yellow River basin, the Shimao-related populations had the closest maternal affinity with the contemporaneous Taosi populations from the Longshan period. The Shimao-related populations also shared more affinity with present-day northern Han populations than with the minorities and southern Han in China. Our study provides a new perspective on the genetic origins and structure of the Shimao people and the population dynamics in the Middle Yellow River basin during the Neolithic period.
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Affiliation(s)
- Jiayang Xue
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wenjun Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
- Science and Technology Archaeology, National Centre for Archaeology, Beijing, China
| | - Jing Shao
- Shaanxi Academy of Archaeology, Xi’an, China
| | - Xiangming Dai
- Archaeology Institute of National Museum of China, Beijing, China
| | | | - Jacob D. Gardner
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Liang Chen
- School of Cultural Heritage, Northwest University, Xi’an, China
| | | | - Nan Di
- Shaanxi Academy of Archaeology, Xi’an, China
| | - Xuesong Pei
- Shaanxi Academy of Archaeology, Xi’an, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing, China
| | - Ganyu Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Can Cui
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lizhao Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
| | - Nu He
- Institute of Archaeology, Chinese Academy of Social Sciences, Beijing, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Shanghai Qi Zhi Institute, Shanghai, China
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7
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Wang Y, Huang X, Peng F, Han H, Gu Y, Liu X, Feng Z. Association of variants m.T16172C and m.T16519C in whole mtDNA sequences with high altitude pulmonary edema in Han Chinese lowlanders. BMC Pulm Med 2022; 22:72. [PMID: 35216582 PMCID: PMC8881820 DOI: 10.1186/s12890-021-01791-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 12/08/2021] [Indexed: 12/05/2022] Open
Abstract
Background High altitude pulmonary edema (HAPE) is a hypoxia-induced non-cardiogenic pulmonary edema that typically occurred in un-acclimatized lowlanders, which inevitably leads to life-threatening consequences. Apart from multiple factors involved, the genetic factors also play an important role in the pathogenesis of HAPE. So far, researchers have put more energy into the nuclear genome and HAPE, and ignored the relationship between the mitochondrion DNA (mtDNA) variants and HAPE susceptibility. Methods We recruited a total of 366 individuals including 181 HAPE patients and 185 non-HAPE populations through two times. The first time, 49 HAPE patients and 58 non-HAPE individuals were performed through whole mtDNA sequences to search the mutations and haplogroups. The second time, 132 HAPE patients and 127 non-HAPE subjects were collected to apply verifying these mutations and haplogroups of mtDNA with the routine PCR method. Results We analyzed and summarized the clinical characteristics and sequence data for the 49 HAPE patients and 58 non-HAPE individuals. We found that a series of routine blood indexes including systolic arterial blood pressure (SBP), heart rate (HR), white blood cell (WBC), and C-reactive protein (CRP) in the HAPE group presented higher and displayed significant differences compared with those in the non-HAPE group. Although the average numbers of variants in different region and group samples were not statistically significant (P > 0.05), the mutation densities of different regions in the internal group showed significant differences. Then we found two mutations (T16172C and T16519C) associated with the HAPE susceptibility, the T16172C mutation increased the risk of HAPE, and the T16519C mutation decreased the HAPE rating. Furthermore, the two mutations were demonstrated with 132 HAPE patients and 127 non-HAPE individuals. Unfortunately, all the haplogroups were not associated with the HAPE haplogroups. Conclusions We provided evidence of differences in mtDNA polymorphism frequencies between HAPE and non-HAPE Han Chinese. Genotypes of mtDNA 16172C and 16519C were correlated with HAPE susceptibility, indicating the role of the mitochondrial genome in the pathogenesis of HAPE. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-021-01791-1.
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Affiliation(s)
- Yan Wang
- Clinical Biobank Center, Medical Innovation Research Division of Chinese, PLA General Hospital, No. 28 Fu Xin Road, Hai Dian District, Beijing, 100853, China. .,BaYi Children's Hospital, The Seventh Medical Center of PLA General Hospital, No.5 Nan Men Cang, Dong Cheng District, Beijing, 100700, China.
| | - Xuewen Huang
- The Mountain Sickness Prevention Research Center of the General Hospital of Tibet Military Command, Tibet, China
| | - Fujun Peng
- School of Basic Medical Sciences, Weifang Medical University, Weifang, Shandong, China
| | - Huiling Han
- BaYi Children's Hospital, The Seventh Medical Center of PLA General Hospital, No.5 Nan Men Cang, Dong Cheng District, Beijing, 100700, China
| | - Yanan Gu
- BaYi Children's Hospital, The Seventh Medical Center of PLA General Hospital, No.5 Nan Men Cang, Dong Cheng District, Beijing, 100700, China
| | - Xin Liu
- BaYi Children's Hospital, The Seventh Medical Center of PLA General Hospital, No.5 Nan Men Cang, Dong Cheng District, Beijing, 100700, China
| | - Zhichun Feng
- BaYi Children's Hospital, The Seventh Medical Center of PLA General Hospital, No.5 Nan Men Cang, Dong Cheng District, Beijing, 100700, China.
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Wang M, Du W, Tang R, Liu Y, Zou X, Yuan D, Wang Z, Liu J, Guo J, Yang X, Chen J, Yang M, Zhang X, Wei LH, Yuan H, Yeh HY, Wang CC, Liu C, He G. Genomic history and forensic characteristics of Sherpa highlanders on the Tibetan Plateau inferred from high-resolution InDel panel and genome-wide SNPs. Forensic Sci Int Genet 2021; 56:102633. [PMID: 34826721 DOI: 10.1016/j.fsigen.2021.102633] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/13/2021] [Accepted: 11/10/2021] [Indexed: 11/18/2022]
Abstract
Sherpa people, one of the high-altitude hypoxic adaptive populations, mainly reside in Nepal and the southern Tibet Autonomous Region. The genetic origin and detailed evolutionary profiles of Sherpas remain to be further explored and comprehensively characterized. Here we analyzed the newly-generated InDel genotype data from 628 Dingjie Sherpas by merging with 4222 worldwide InDel profiles and collected genome-wide SNP data (approximately 600K SNPs) from 1612 individuals in 191 modern and ancient populations to explore and reconstruct the fine-scale genetic structure of Sherpas and their relationships with nearby modern and ancient East Asians based on the shared alleles and haplotypes. The forensic parameters of 57 autosomal InDels (A-InDels) included in our used new-generation InDel amplification system showed that this focused InDel panel is informative and polymorphic in Dingjie Sherpas, suggesting that it can be used as the supplementary tool for forensic personal identification and parentage testing in Dingjie Sherpas. Descriptive findings from the PCA, ADMIXTURE, and TreeMix-based phylogenies suggested that studied Nepal Sherpas showed excess allele sharing with neighboring Tibeto-Burman Tibetans. Furthermore, patterns of allele sharing in f-statistics demonstrated that Nepal Sherpas had a different evolutionary history compared with their neighbors from Nepal (Newar and Gurung) but showed genetic similarity with 2700-year-old Chokhopani and modern Tibet Tibetans. QpAdm/qpGraph-based admixture sources and models further showed that Sherpas, core Tibetans, and Chokhopani formed one clade, which could be fitted as having the main ancestry from late Neolithic Qijia millet farmers and other deep ancestries from early Asians. Chromosome painting profiles and shared IBD fragments inferred from fineSTRUCTURE and ChromoPainter not only confirmed the abovementioned genomic affinity patterns but also revealed the fine-scale genetic microstructures among Sino-Tibetan speakers. Finally, natural-selection signals revealed via iHS, nSL and iHH12 showed natural selection signatures associated with disease susceptibility in Sherpas. Generally, we provided the comprehensive landscape of admixture and evolutionary history of Sherpa people based on the shared alleles and haplotypes from the InDel-based genotype data and high-density genome-wide SNP data. The more detailed genetic landscape of Sherpa people should be further confirmed and characterized via ancient genomes or single-molecule real-time sequencing technology.
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Affiliation(s)
- Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou 510030, PR China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou 510080, PR China
| | - Weian Du
- AGCU ScienTech Incorporation, Wuxi 214174, PR China; School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China
| | - Yan Liu
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, PR China
| | - Xing Zou
- College of Basic Medicine, Chongqing University, Chongqing 400016, PR China; Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610000, PR China
| | - Didi Yuan
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610000, PR China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610000, PR China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, PR China
| | - Xiaomin Yang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, PR China
| | - Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang 550000, PR China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang 550000, PR China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou 121000, PR China
| | - Lan-Hai Wei
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, PR China
| | - Haibing Yuan
- National Demonstration Center for Experimental Archaeology Education and Department of Archaeology, Sichuan University, Chengdu 610200, PR China; School of Archaeology and Museology & National Demonstration Center for Experimental Archaeology Education, Sichuan University, Chengdu, Sichuan 610064, PR China.
| | - Hui-Yuan Yeh
- School of Humanities, Nanyang Technological University, Nanyang 639798, Singapore.
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, PR China.
| | - Chao Liu
- Guangzhou Forensic Science Institute, Guangzhou 510030, PR China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou 510080, PR China; School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
| | - Guanglin He
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361005, PR China; School of Humanities, Nanyang Technological University, Nanyang 639798, Singapore.
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Rewiring cell signalling pathways in pathogenic mtDNA mutations. Trends Cell Biol 2021; 32:391-405. [PMID: 34836781 DOI: 10.1016/j.tcb.2021.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 12/24/2022]
Abstract
Mitochondria generate the energy to sustain cell viability and serve as a hub for cell signalling. Their own genome (mtDNA) encodes genes critical for oxidative phosphorylation. Mutations of mtDNA cause major disease and disability with a wide range of presentations and severity. We review here an emerging body of data suggesting that changes in cell metabolism and signalling pathways in response to the presence of mtDNA mutations play a key role in shaping disease presentation and progression. Understanding the impact of mtDNA mutations on cellular energy homeostasis and signalling pathways seems fundamental to identify novel therapeutic interventions with the potential to improve the prognosis for patients with primary mitochondrial disease.
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10
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Liang T, Liu F, Ma L, Zhang Z, Liu L, Huang T, Li J, Dong W, Zhang H, Li Y, Jiang Y, Ye W, Bai S, Kang L. Migration effects on the intestinal microbiota of Tibetans. PeerJ 2021; 9:e12036. [PMID: 34721954 PMCID: PMC8530097 DOI: 10.7717/peerj.12036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 08/02/2021] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Diet, environment, and genomic context have a significant impact on humans' intestinal microbiota. Moreover, migration may be accompanied by changes in human eating habits and living environment, which could, in turn, affect the intestinal microbiota. Located in southwestern China, Tibet has an average altitude of 4,000 meters and is known as the world's roof. Xianyang is situated in the plains of central China, with an average altitude of about 400 meters. METHODS To understand the association between intestinal microbiota and population migration, we collected the fecal samples from 30 Tibetan women on the first day (as TI1st), six months (as TI2nd), and ten months (as TI3rd) following migration from Tibet to Xianyang. Fecal samples were collected from 29 individuals (belonging to the Han women) as a control. The dietary information of the Tibetan women and the Han women was gathered. We performed a 16S rRNA gene survey of the collected fecal samples using Illumina MiSeq sequencing. RESULTS Following the migration, the alpha and beta diversity of Tibetan women's intestinal microbiota appeared unaffected. Linear discriminant analysis effect size (LEfSe) analysis showed that Klebsiella, Blautia, and Veillonella are potential biomarkers at TI1st, while Proteobacteria and Enterobacteriaceae were common in TI3rd. Finally, functional prediction by phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) found no significant up-regulation or down-regulation gene pathway in the intestinal microbiota of Tibetan women after migration. The present study reveals that the higher stability in Tibetan women's intestinal microbiota was less affected by the environment and diet, indicating that Tibetan women's intestinal microbiota is relatively stable. The main limitations of the study were the small sample size and all volunteers were women.
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Affiliation(s)
- Tian Liang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Fang Liu
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Lifeng Ma
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Zhiying Zhang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Lijun Liu
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Tingting Huang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jing Li
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Wenxue Dong
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Han Zhang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Yansong Li
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Yaqiong Jiang
- Zashe Community Health Service Center, Lhasa, Tibet Autonomous Region, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Su Bai
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
| | - Longli Kang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shannxi Province, China
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11
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Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens). Genes Genomics 2021; 43:1231-1246. [PMID: 34338989 DOI: 10.1007/s13258-021-01137-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/29/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND As a mammal living at the highest altitude in the world, the yak has strong adaptability to the harsh natural environment (such as low temperature, scarce food, especially low oxygen) of Qinghai-Tibet Plateau (QTP) after a long process of natural selection. OBJECTIVE Here, we used Weighted Correlation Network Analysis (WGCNA), a systematic biology method, to identify hypoxic adaptation-related modules and hub genes. The research of the adaptability of yak against hypoxia is of great significance to identify the genetic characteristics and yak breeding. METHODS Based on the transcriptome sequencing data (PRJNA362606), the R package DESeq2 and WGCNA were conducted to analyze differentially expressed genes (DEGs) and construct the gene co-expression network. The module hub genes were identified and characterized by the correlation of gene and trait, module membership (kME). In addition, GO and KEGG enrichment analyses were used to explore the functions of hub genes. RESULTS Our results revealed that 1098, 1429, and 1645 DEGs were identified in muscle, spleen, and lung, respectively. Besides, a total of 13 gene co-expression modules were detected, of which two hypoxic adaptation-related modules (saddlebrown and turquoise) were found. We identified 39 and 150 hub genes in these two modules. Functional enrichment analyses showed that 12 GO terms and 18 KEGG pathways were enriched in the saddlebrown module while 85 GO terms and 22 KEGG pathways were enriched in the turquoise module. The significant pathways related to hypoxia adaptation include FoxO signaling pathway, Thermogenesis pathway, and Retrograde endocannabinoid signaling pathway, etc. CONCLUSIONS: In this study, we obtained two hypoxia-related specific modules and identified hub genes based on the connectivity by constructing a weighted gene co-expression network. Function enrichment analysis of two modules revealed mitochondrion is the most important organelle for hypoxia adaptation. Moreover, the insulin-related pathways and thermogenic-related pathways played a major role. The results of this study provide theoretical guidance for further understanding the molecular mechanism of yak adaptation to hypoxia.
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12
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Bisso-Machado R, Fagundes NJR. Uniparental genetic markers in Native Americans: A summary of all available data from ancient and contemporary populations. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2021; 176:445-458. [PMID: 34184252 DOI: 10.1002/ajpa.24357] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 05/26/2021] [Accepted: 06/16/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVES The aim of this study was to create a comprehensive summary of available mtDNA and Y-chromosome data for Native Americans from North, Central, and South America, including both modern and ancient DNA. To illustrate the usefulness of this dataset we present a broad picture of the genetic variation for both markers across the Americas. METHODS We searched PubMed, ResearchGate, Google Scholar for studies about mtDNA or Y-chromosome variation in Native American populations, including geographic, linguistic, ecological (ecoregion), archeological and chronological information. We used AMOVA to estimate the genetic structure associated with language and ecoregion grouping and Mantel tests to evaluate the correlation between genetic and geographic distances. RESULTS Genetic data were obtained from 321 primary sources, including 22,569 individuals from 298 contemporary populations, and 3628 individuals from 202 archeological populations. MtDNA lineages of probable non-Amerindian origin were rare, in contrast with Y-chromosome lineages. Mantel tests showed a statistically significant correlation for the whole continent considering mtDNA but not the Y-chromosome. Genetic structure between groups was always stronger for mtDNA than for the Y-chromosome. CONCLUSIONS This study summarizes decades of research conducted in Native American populations for both mtDNA and the Y-chromosome. Continental or sub-continental patterns of variation reveal that most of the genetic variation occurs within populations rather than among linguistic or ecoregional groups, and that isolation by distance is barely detectable in most population sets. The genetic structure among groups was always larger for mtDNA than for the Y-chromosome, suggesting between-sex differences in gene flow.
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Affiliation(s)
- Rafael Bisso-Machado
- Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Nelson J R Fagundes
- Programa de Pós-Graduação em Genética e Biologia Molecular, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Biologia Animal, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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13
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McCormick EM, Lott MT, Dulik MC, Shen L, Attimonelli M, Vitale O, Karaa A, Bai R, Pineda-Alvarez DE, Singh LN, Stanley CM, Wong S, Bhardwaj A, Merkurjev D, Mao R, Sondheimer N, Zhang S, Procaccio V, Wallace DC, Gai X, Falk MJ. Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation. Hum Mutat 2020; 41:2028-2057. [PMID: 32906214 DOI: 10.1002/humu.24107] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 08/20/2020] [Accepted: 08/28/2020] [Indexed: 12/12/2022]
Abstract
Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics and Association of Molecular Pathology standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well as specifications for utilization of mtDNA genomic databases and computational algorithms.
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Affiliation(s)
- Elizabeth M McCormick
- Mitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Marie T Lott
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Matthew C Dulik
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lishuang Shen
- Center for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Marcella Attimonelli
- Department of Biosciences, Biotechnology, and Biopharmaceutics, University of Bari "A. Moro", Bari, Italy
| | - Ornella Vitale
- Department of Biosciences, Biotechnology, and Biopharmaceutics, University of Bari "A. Moro", Bari, Italy
| | - Amel Karaa
- Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | - Larry N Singh
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Christine M Stanley
- Variantyx, Inc, Framingham, Massachusetts, USA.,QNA Diagnostics, Cambridge, Massachusetts, USA
| | | | - Anshu Bhardwaj
- CSIR-Institute of Microbial Technology, Chandigarh, India
| | - Daria Merkurjev
- Center for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Rong Mao
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.,Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | - Neal Sondheimer
- Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Shiping Zhang
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Vincent Procaccio
- Department of Biochemistry and Genetics, MitoVasc Institute, UMR CNRS 6015- INSERM U1083, CHU Angers, Angers, France
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Xiaowu Gai
- Center for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA.,Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Marni J Falk
- Mitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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14
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Mitochondrial DNA genomes revealed different patterns of high-altitude adaptation in high-altitude Tajiks compared with Tibetans and Sherpas. Sci Rep 2020; 10:10592. [PMID: 32601317 PMCID: PMC7324373 DOI: 10.1038/s41598-020-67519-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 06/05/2020] [Indexed: 02/06/2023] Open
Abstract
High-altitude Tajiks (HA-Tajiks), Tibetans and Sherpas are three groups of high-altitude native people in China. The differences in the mtDNA genome between the three populations and the role of the mtDNA genome in the high-altitude adaptation of HA-Tajiks were seldom investigated. In this study, 80 HA-Tajiks were enrolled, and their whole mtDNA genomes were sequenced. The haplogroup of each subject was determined by comparison to the revised Cambridge Reference Sequence (rCRS). Ten additional populations from East Asia and Central Asia, including Tibetans and Sherpas, were selected as references. The top haplogroup was U, followed by H, T and J. Principle component analysis and genetic distance analysis indicated that HA-Tajiks showed a close relationship with Wakhi Tajiks, Pamiri Tajiks and Sarikoli Tajiks, indicating that they should be considered one nation scattered around the Pamirs. The difference in the mtDNA genome between HA-Tajiks and Sherpas was significantly greater than that between HA-Tajiks and Tibetans. Among the 13 genes related to the OXPHOS pathway encoded by the mtDNA genome, HA-Tajiks showed more significant differences in ND3 and CYTB compared to Tibetans. Compared to Sherpas, HA-Tajiks showed more significant differences in ND1, ND2, COX1, ATP8, ATP6, ND3, ND4L, ND4, ND5 and CYTB. The associated functional changes and underlying molecular mechanisms should be explored by molecular and biochemical investigations in further studies.
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Wang M, Wang Z, He G, Wang S, Zou X, Liu J, Wang F, Ye Z, Hou Y. Whole mitochondrial genome analysis of highland Tibetan ethnicity using massively parallel sequencing. Forensic Sci Int Genet 2019; 44:102197. [PMID: 31756629 DOI: 10.1016/j.fsigen.2019.102197] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 01/12/2023]
Abstract
Mitochondrial DNA (mtDNA) is a key player in numerous multifaceted and intricate biological processes and plays a pivotal role in dissecting the peopling of different populations, due to its maternally inherited property and comparatively high mutation rate. In this study, 119 Tibetan individuals from the Muli Tibetan Autonomous County of China (average altitude above 3,000 m) were employed in mitochondrial genome (mitogenome) sequencing by massively parallel sequencing (MPS) techniques using the Precision ID mtDNA Whole Genome Panel on an Ion S5XL system. The dataset presented 88 distinct haplotypes, resulting in the haplotype diversity of 0.9909. The majority of haplotypes were assigned to East Asian lineages and the distribution of haplogroups of Muli Tibetan significantly differed from reference Tibetan populations. The maximum parsimony phylogeny reconstructed by 119 newly generated mitogenomes revealed 12 major Muli Tibetan lineages. Intriguingly, a Sherpa-specific sub-haplogroup A15c1 with the lack of mutations at 4216 and 15,924 was discerned in our dataset, which suggested that the maternal gene pool of Sherpas may derive from Tibetan populations. The shared haplogroups between Muli Tibetan and lowland Han Chinese hinted that these lineages may derive from non-Tibetans and have already differentiated before their arrival on the Tibetan Plateau. Furthermore, extensive pairwise population comparisons displayed that Muli Tibetan had a closer genetic relationship with ethnically or linguistically close Nyingtri Tibetan, Nyingtri Lhoba and Chamdo Tibetan populations. Genetic affinity was also observed between the Muli Tibetan and North Han Chinese. Collectively, the results generated in this study enriched the existing forensic mtDNA database and raised additional interest in the application of whole mitogenome sequencing in forensic investigations.
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Affiliation(s)
- Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Fei Wang
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Ziwei Ye
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
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16
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Kiiskilä J, Moilanen JS, Kytövuori L, Niemi AK, Majamaa K. Analysis of functional variants in mitochondrial DNA of Finnish athletes. BMC Genomics 2019; 20:784. [PMID: 31664900 PMCID: PMC6819560 DOI: 10.1186/s12864-019-6171-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 10/04/2019] [Indexed: 11/15/2022] Open
Abstract
Background We have previously reported on paucity of mitochondrial DNA (mtDNA) haplogroups J and K among Finnish endurance athletes. Here we aimed to further explore differences in mtDNA variants between elite endurance and sprint athletes. For this purpose, we determined the rate of functional variants and the mutational load in mtDNA of Finnish athletes (n = 141) and controls (n = 77) and determined the sequence variation in haplogroups. Results The distribution of rare and common functional variants differed between endurance athletes, sprint athletes and the controls (p = 0.04) so that rare variants occurred at a higher frequency among endurance athletes. Furthermore, the ratio between rare and common functional variants in haplogroups J and K was 0.42 of that in the remaining haplogroups (p = 0.0005). The subjects with haplogroup J and K also showed a higher mean level of nonsynonymous mutational load attributed to common variants than subjects with the other haplogroups. Interestingly, two of the rare variants detected in the sprint athletes were the disease-causing mutations m.3243A > G in MT-TL1 and m.1555A > G in MT-RNR1. Conclusions We propose that endurance athletes harbor an excess of rare mtDNA variants that may be beneficial for oxidative phosphorylation, while sprint athletes may tolerate deleterious mtDNA variants that have detrimental effect on oxidative phosphorylation system. Some of the nonsynonymous mutations defining haplogroup J and K may produce an uncoupling effect on oxidative phosphorylation thus favoring sprint rather than endurance performance.
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Affiliation(s)
- Jukka Kiiskilä
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, P.O. Box 5000, FI-90014, Oulu, Finland. .,Department of Neurology and Medical Research Center, Oulu University Hospital, Oulu, Finland.
| | - Jukka S Moilanen
- PEDEGO Research Unit, Medical Research Center Oulu, University of Oulu, Oulu, Finland.,Department of Clinical Genetics, Oulu University Hospital, Oulu, Finland
| | - Laura Kytövuori
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, P.O. Box 5000, FI-90014, Oulu, Finland.,Department of Neurology and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Anna-Kaisa Niemi
- Division of Neonatology, Rady Children's Hospital San Diego, University of California San Diego, San Diego, California, USA
| | - Kari Majamaa
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, P.O. Box 5000, FI-90014, Oulu, Finland.,Department of Neurology and Medical Research Center, Oulu University Hospital, Oulu, Finland
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17
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St John JC, Tsai TS. The association of mitochondrial DNA haplotypes and phenotypic traits in pigs. BMC Genet 2018; 19:41. [PMID: 29980191 PMCID: PMC6035439 DOI: 10.1186/s12863-018-0629-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Accepted: 06/19/2018] [Indexed: 11/29/2022] Open
Abstract
Background The mitochondrial genome (mtDNA) is an emerging determiner of phenotypic traits and disease. mtDNA is inherited in a strict maternal fashion from the population of mitochondria present in the egg at fertilisation. Individuals are assigned to mtDNA haplotypes and those with sequences that cluster closely have common origins and their migration patterns can be mapped. Previously, we identified five mtDNA haplotypes in the commercial breeding lines of Australian pigs, which defined their common origins, and showed how these mtDNA haplotypes influenced litter size and reproductive function in terms of egg and embryo quality and fertilisation efficiency. Results We have determined whether mtDNA haplotypes influence other phenotypic traits. These include fat density; muscle depth; fat to leanness ratios; lifetime daily gain; teat quality; muscle score; front and rear leg assessments; percentage offspring weaned; weaning to oestrus intervals; gilt age at selection; and gestational length. In all, we assessed 5687 pigs of which 2762 were females and 2925 were males. We assessed all animals together and then by gender. We further assessed by gender based on whether a sire had joined with females from only one haplotype or from more than one haplotype. We determined that fat density, muscle depth, fat to leanness ratios, lifetime daily gain and teat quality were influenced by mtDNA haplotype and that there were gender specific effects on teat quality. Conclusions Our data illustrate that mtDNA haplotypes are associated with a number of important phenotypic traits indicative of economic breeding values in breeding pigs with gender-specific differences. Interestingly, there are ‘trade offs’ whereby some mtDNA haplotypes perform better for one selection criterion, such as muscle depth, but less so for another, for example teat quality, indicating that pig mtDNA haplotypes are afforded an advantage in one respect but a disadvantage in another. Electronic supplementary material The online version of this article (10.1186/s12863-018-0629-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Justin C St John
- Centre for Genetic Diseases, Hudson Institute of Medical Research and Department of Molecular and Translational Science, Monash University, 27-31 Wright Street, Clayton, Vic 3168, Australia.
| | - Te-Sha Tsai
- Centre for Genetic Diseases, Hudson Institute of Medical Research and Department of Molecular and Translational Science, Monash University, 27-31 Wright Street, Clayton, Vic 3168, Australia
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MtDNA genomes reveal a relaxation of selective constraints in low-BMI individuals in a Uyghur population. Hum Genet 2017; 136:1353-1362. [DOI: 10.1007/s00439-017-1829-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 07/15/2017] [Indexed: 10/19/2022]
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