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Richerson PJ, Boyd RT, Efferson C. Agentic processes in cultural evolution: relevance to Anthropocene sustainability. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220252. [PMID: 37952614 PMCID: PMC10645076 DOI: 10.1098/rstb.2022.0252] [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: 12/23/2022] [Accepted: 07/11/2023] [Indexed: 11/14/2023] Open
Abstract
Humans have evolved culturally and perhaps genetically to be unsustainable. We exhibit a deep and consistent pattern of short-term resource exploitation behaviours and institutions. We distinguish agentic and naturally selective forces in cultural evolution. Agentic forces are quite important compared to the blind forces (random variation and natural selection) in cultural evolution and gene-culture coevolution. We need to use the agentic policy-making processes to evade the impact of blind natural selection. We argue that agentic forces became important during our Pleistocene history and into the Anthropocene present. Human creativity in the form of deliberate innovations and the deliberate selective diffusion of technical and social advances drove this process forward for a long time before planetary limits became a serious issue. We review models with multiple positive feedbacks that roughly fit this observed pattern. Policy changes in the case of large-scale existential threats like climate change are made by political and diplomatic agents grasping and moving levers of institutional power in order to avoid the operation of blind natural selection and agentic forces driven by narrow or short-term goals. This article is part of the theme issue 'Evolution and sustainability: gathering the strands for an Anthropocene synthesis'.
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Affiliation(s)
- Peter J. Richerson
- Department of Environmental Science and Policy, University of California, Davis, 95616, CA, USA
| | - Robert T. Boyd
- School of Human Evolution and Social Change, Institute of Human Origins, Arizona State University, Tempe, 85281, AZ, USA
| | - Charles Efferson
- Faculty of Business and Economics, University of Lausanne, 1015, Lausanne, Switzerland
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2
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Tao Y, Wei Y, Ge J, Pan Y, Wang W, Bi Q, Sheng P, Fu C, Pan W, Jin L, Zheng HX, Zhang M. Phylogenetic evidence reveals early Kra-Dai divergence and dispersal in the late Holocene. Nat Commun 2023; 14:6924. [PMID: 37903755 PMCID: PMC10616200 DOI: 10.1038/s41467-023-42761-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 10/18/2023] [Indexed: 11/01/2023] Open
Abstract
Studying language evolution brings a crucial perspective to bear on questions of human prehistory. As the most linguistically diverse region on earth, East and Southeast Asia have witnessed extensive sociocultural and ethnic contacts among different language communities. Especially, the Kra-Dai language family exhibits tremendous socio-cultural importance in these regions. Due to limited historical accounts, however, there are several controversies on their linguistic relatedness, ambiguities regarding the divergence time, and uncertainties on the dispersal patterns. To address these issues, here we apply Bayesian phylogenetic methods to analyze the largest lexical dataset containing 646 cognate sets compiled for 100 Kra-Dai languages. Our dated phylogenetic tree showed their initial divergence occurring approximately 4000 years BP. Phylogeographic results supported the early Kra-Dai language dispersal from the Guangxi-Guangdong area of South China towards Mainland Southeast Asia. Coupled with genetic, archaeological, paleoecologic, and paleoclimatic data, we demonstrated that the Kra-Dai language diversification could have coincided with their demic diffusion and agricultural spread shaped by the global climate change in the late Holocene. The interdisciplinary alignments shed light on reconstructing the prehistory of Kra-Dai languages and provide an indispensable piece of the puzzle for further studying prehistoric human activities in East and Southeast Asia.
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Affiliation(s)
- Yuxin Tao
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, 200438, China
| | - Yuancheng Wei
- School of Chinese Language and Literature, Guangxi Minzu University, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jiaqi Ge
- Department of Chinese Language and Literature, Fudan University, Shanghai, China
| | - Yan Pan
- Department of Cultural Heritage and Museology, Fudan University, Shanghai, China
| | - Wenmin Wang
- College of Nationalities, Guangdong Polytechnic Normal University, Guangzhou, China
| | - Qianqi Bi
- College of Communication, East China University of Political Science and Law, Shanghai, China
| | - Pengfei Sheng
- Institute of Archaeological Science, Fudan University, Shanghai, China
| | - Changzhong Fu
- College of Nationalities, Guangdong Polytechnic Normal University, Guangzhou, China
| | - Wuyun Pan
- Institute of Modern Languages and Linguistics, Fudan University, Shanghai, China
- Institute for Humanities and Social Science Data, School of Data Science, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, 200438, China
| | - Hong-Xiang Zheng
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
| | - Menghan Zhang
- Institute of Modern Languages and Linguistics, Fudan University, Shanghai, China.
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
- Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China.
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3
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Li YC, Gao ZL, Liu KJ, Tian JY, Yang BY, Rahman ZU, Yang LQ, Zhang SH, Li CT, Achilli A, Semino O, Torroni A, Kong QP. Mitogenome evidence shows two radiation events and dispersals of matrilineal ancestry from northern coastal China to the Americas and Japan. Cell Rep 2023:112413. [PMID: 37164007 DOI: 10.1016/j.celrep.2023.112413] [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: 07/28/2022] [Revised: 01/05/2023] [Accepted: 04/04/2023] [Indexed: 05/12/2023] Open
Abstract
Although it is widely recognized that the ancestors of Native Americans (NAs) primarily came from Siberia, the link between mitochondrial DNA (mtDNA) lineage D4h3a (typical of NAs) and D4h3b (found so far only in East China and Thailand) raises the possibility that the ancestral sources for early NAs were more variegated than hypothesized. Here, we analyze 216 contemporary (including 106 newly sequenced) D4h mitogenomes and 39 previously reported ancient D4h data. The results reveal two radiation events of D4h in northern coastal China, one during the Last Glacial Maximum and the other within the last deglaciation, which facilitated the dispersals of D4h sub-branches to different areas including the Americas and the Japanese archipelago. The coastal distributions of the NA (D4h3a) and Japanese lineages (D4h1a and D4h2), in combination with the Paleolithic archaeological similarities among Northern China, the Americas, and Japan, lend support to the coastal dispersal scenario of early NAs.
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Affiliation(s)
- Yu-Chun Li
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Zong-Liang Gao
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Kai-Jun Liu
- Chengdu 23Mofang Biotechnology Co., Ltd., Tianfu Software Park, Chengdu, Sichuan 610042, China
| | - Jiao-Yang Tian
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Bin-Yu Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Zia Ur Rahman
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Su-Hua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Cheng-Tao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China.
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Amir Z, Moore JH, Negret PJ, Luskin MS. Megafauna extinctions produce idiosyncratic Anthropocene assemblages. SCIENCE ADVANCES 2022; 8:eabq2307. [PMID: 36269822 PMCID: PMC9586473 DOI: 10.1126/sciadv.abq2307] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
The "trophic downgrading of planet Earth" refers to the systematic decline of the world's largest vertebrates. However, our understanding of why megafauna extinction risk varies through time and the importance of site- or species-specific factors remain unclear. Here, we unravel the unexpected variability in remaining terrestrial megafauna assemblages across 10 Southeast Asian tropical forests. Consistent with global trends, every landscape experienced Holocene and/or Anthropocene megafauna extirpations, and the four most disturbed landscapes experienced 2.5 times more extirpations than the six least disturbed landscapes. However, there were no consistent size- or guild-related trends, no two tropical forests had identical assemblages, and the abundance of four species showed positive relationships with forest degradation and humans. Our results suggest that the region's megafauna assemblages are the product of a convoluted geoclimatic legacy interacting with modern disturbances and that some megafauna may persist in degraded tropical forests near settlements with sufficient poaching controls.
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Affiliation(s)
- Zachary Amir
- School of Biological Sciences, The University of Queensland, St. Lucia, QLD, Australia
| | - Jonathan H. Moore
- School of Environmental Sciences, University of East Anglia, Norwich, UK
| | - Pablo Jose Negret
- School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD, Australia
| | - Matthew Scott Luskin
- School of Biological Sciences, The University of Queensland, St. Lucia, QLD, Australia
- Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia, QLD, Australia
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5
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Mikhailova AG, Mikhailova AA, Ushakova K, Tretiakov EO, Iliushchenko D, Shamansky V, Lobanova V, Kozenkov I, Efimenko B, Yurchenko AA, Kozenkova E, Zdobnov EM, Makeev V, Yurov V, Tanaka M, Gostimskaya I, Fleischmann Z, Annis S, Franco M, Wasko K, Denisov S, Kunz WS, Knorre D, Mazunin I, Nikolaev S, Fellay J, Reymond A, Khrapko K, Gunbin K, Popadin K. A mitochondria-specific mutational signature of aging: increased rate of A > G substitutions on the heavy strand. Nucleic Acids Res 2022; 50:10264-10277. [PMID: 36130228 PMCID: PMC9561281 DOI: 10.1093/nar/gkac779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/02/2022] [Accepted: 09/07/2022] [Indexed: 11/21/2022] Open
Abstract
The mutational spectrum of the mitochondrial DNA (mtDNA) does not resemble any of the known mutational signatures of the nuclear genome and variation in mtDNA mutational spectra between different organisms is still incomprehensible. Since mitochondria are responsible for aerobic respiration, it is expected that mtDNA mutational spectrum is affected by oxidative damage. Assuming that oxidative damage increases with age, we analyse mtDNA mutagenesis of different species in regards to their generation length. Analysing, (i) dozens of thousands of somatic mtDNA mutations in samples of different ages (ii) 70053 polymorphic synonymous mtDNA substitutions reconstructed in 424 mammalian species with different generation lengths and (iii) synonymous nucleotide content of 650 complete mitochondrial genomes of mammalian species we observed that the frequency of AH > GH substitutions (H: heavy strand notation) is twice bigger in species with high versus low generation length making their mtDNA more AH poor and GH rich. Considering that AH > GH substitutions are also sensitive to the time spent single-stranded (TSSS) during asynchronous mtDNA replication we demonstrated that AH > GH substitution rate is a function of both species-specific generation length and position-specific TSSS. We propose that AH > GH is a mitochondria-specific signature of oxidative damage associated with both aging and TSSS.
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Affiliation(s)
- Alina G Mikhailova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
- Vavilov Institute of General Genetics RAS, Moscow, Russia
| | - Alina A Mikhailova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Kristina Ushakova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Evgeny O Tretiakov
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
- Department of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Dmitrii Iliushchenko
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Victor Shamansky
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Valeria Lobanova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Ivan Kozenkov
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Bogdan Efimenko
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Andrey A Yurchenko
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Elena Kozenkova
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vsevolod Makeev
- Vavilov Institute of General Genetics RAS, Moscow, Russia
- Moscow Institute of Physics and Technology, Moscow, Russian Federation
| | - Valerian Yurov
- Institute of Physics, Mathematics and Information Technology, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
| | - Masashi Tanaka
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Irina Gostimskaya
- Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom
| | - Zoe Fleischmann
- Department of Biology, Northeastern University, Boston, MA, USA
| | - Sofia Annis
- Department of Biology, Northeastern University, Boston, MA, USA
| | - Melissa Franco
- Department of Biology, Northeastern University, Boston, MA, USA
| | - Kevin Wasko
- Department of Biology, Northeastern University, Boston, MA, USA
| | - Stepan Denisov
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
- School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Wolfram S Kunz
- Department of Epileptology and Institute of Experimental Epileptology and Cognition Research, University Bonn, Bonn, Germany
| | - Dmitry Knorre
- The A.N. Belozersky Institute Of Physico-Chemical Biology, Moscow State University, Moscow, Russian Federation
| | - Ilya Mazunin
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology (Skoltech), Skolkovo, Russian Federation
- Fomin Clinic, Moscow, Russian Federation
- Medical Genomics LLC, Moscow, Russian Federation
| | - Sergey Nikolaev
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Jacques Fellay
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | | | - Konstantin Gunbin
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russian Federation
| | - Konstantin Popadin
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russian Federation
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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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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African mitochondrial haplogroup L7: a 100,000-year-old maternal human lineage discovered through reassessment and new sequencing. Sci Rep 2022; 12:10747. [PMID: 35750688 PMCID: PMC9232647 DOI: 10.1038/s41598-022-13856-0] [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: 11/05/2021] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
Archaeological and genomic evidence suggest that modern Homo sapiens have roamed the planet for some 300–500 thousand years. In contrast, global human mitochondrial (mtDNA) diversity coalesces to one African female ancestor (“Mitochondrial Eve”) some 145 thousand years ago, owing to the ¼ gene pool size of our matrilineally inherited haploid genome. Therefore, most of human prehistory was spent in Africa where early ancestors of Southern African Khoisan and Central African rainforest hunter-gatherers (RFHGs) segregated into smaller groups. Their subdivisions followed climatic oscillations, new modes of subsistence, local adaptations, and cultural-linguistic differences, all prior to their exodus out of Africa. Seven African mtDNA haplogroups (L0–L6) traditionally captured this ancient structure—these L haplogroups have formed the backbone of the mtDNA tree for nearly two decades. Here we describe L7, an eighth haplogroup that we estimate to be ~ 100 thousand years old and which has been previously misclassified in the literature. In addition, L7 has a phylogenetic sublineage L7a*, the oldest singleton branch in the human mtDNA tree (~ 80 thousand years). We found that L7 and its sister group L5 are both low-frequency relics centered around East Africa, but in different populations (L7: Sandawe; L5: Mbuti). Although three small subclades of African foragers hint at the population origins of L5'7, the majority of subclades are divided into Afro-Asiatic and eastern Bantu groups, indicative of more recent admixture. A regular re-estimation of the entire mtDNA haplotype tree is needed to ensure correct cladistic placement of new samples in the future.
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Cardona PJ, Català M, Prats C. The Origin and Maintenance of Tuberculosis Is Explained by the Induction of Smear-Negative Disease in the Paleolithic. Pathogens 2022; 11:pathogens11030366. [PMID: 35335692 PMCID: PMC8955375 DOI: 10.3390/pathogens11030366] [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: 02/13/2022] [Revised: 03/05/2022] [Accepted: 03/15/2022] [Indexed: 12/05/2022] Open
Abstract
Is it possible that the origin of Mycobacterium tuberculosis (Mtb) infection was around 70,000 years before the common era? At that time Homo sapiens was just another primate species with discrete growth and a very low-density geographic occupation. Therefore, it is difficult to understand the origin of a highly virulent obligate human pathogen. We have designed a new SEIR model (TBSpectr) that allows the differentiation of smear-positive and -negative tuberculosis. The model reconciles currently accepted growth rates for the Middle Paleolithic (0.003%/year) and Neolithic (0.1%/year). The obtained data link the origin of Mtb infection in the Middle Paleolithic to the induction of smear-negative TB, and reveal that its persistence required interrelations among hunter–gatherer groups, while the risk of human extinction was negligible. It also highlights the number of people infected per case and the fast progression to disease for Mtb infection maintenance, as well as the link between poor health in the Neolithic with the increased incidence of more severe forms of TB (smear-positive). In conclusion, our data support the origin of TB as a well-tolerated, highly persistent disease, even in low-density populations, showing the difficulty of its eradication and highlighting the necessity for providing better health conditions to humans to reduce its severity.
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Affiliation(s)
- Pere-Joan Cardona
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain
- Microbiology Department, North Metropolitan Clinical Laboratory, ‘Germans Trias i Pujol’ University Hospital, 08916 Badalona, Spain
- Genetics and Microbiology Department, Universitat Autònoma de Barcelona, 08916 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Correspondence:
| | - Martí Català
- Comparative Medicine and Bioimage Centre of Catalonia (CMCiB), Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain; (M.C.); (C.P.)
- Departament de Física, Escola d’Enginyeria Agroalimentària i de Biosistemes de Barcelona, Universitat Politècnica de Catalunya (UPC)-BarcelonaTech, 08916 Badalona, Spain
| | - Clara Prats
- Comparative Medicine and Bioimage Centre of Catalonia (CMCiB), Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain; (M.C.); (C.P.)
- Departament de Física, Escola d’Enginyeria Agroalimentària i de Biosistemes de Barcelona, Universitat Politècnica de Catalunya (UPC)-BarcelonaTech, 08916 Badalona, Spain
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9
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Branco C, Kanellou M, González-Martín A, Arenas M. Consequences of the Last Glacial Period on the Genetic Diversity of Southeast Asians. Genes (Basel) 2022; 13:genes13020384. [PMID: 35205429 PMCID: PMC8871837 DOI: 10.3390/genes13020384] [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] [Received: 01/20/2022] [Revised: 02/12/2022] [Accepted: 02/15/2022] [Indexed: 11/17/2022] Open
Abstract
The last glacial period (LGP) promoted a loss of genetic diversity in Paleolithic populations of modern humans from diverse regions of the world by range contractions and habitat fragmentation. However, this period also provided some currently submersed lands, such as the Sunda shelf in Southeast Asia (SEA), that could have favored the expansion of our species. Concerning the latter, still little is known about the influence of the lowering sea level on the genetic diversity of current SEA populations. Here, we applied approximate Bayesian computation, based on extensive spatially explicit computer simulations, to evaluate the fitting of mtDNA data from diverse SEA populations with alternative evolutionary scenarios that consider and ignore the LGP and migration through long-distance dispersal (LDD). We found that both the LGP and migration through LDD should be taken into consideration to explain the currently observed genetic diversity in these populations and supported a rapid expansion of first populations throughout SEA. We also found that temporarily available lands caused by the low sea level of the LGP provided additional resources and migration corridors that favored genetic diversity. We conclude that migration through LDD and temporarily available lands during the LGP should be considered to properly understand and model the first expansions of modern humans.
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Affiliation(s)
- Catarina Branco
- Centro de Investigaciones Biomédicas (CINBIO), University of Vigo, 36310 Vigo, Spain; (C.B.); (M.K.)
- Department of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain
| | - Marina Kanellou
- Centro de Investigaciones Biomédicas (CINBIO), University of Vigo, 36310 Vigo, Spain; (C.B.); (M.K.)
- School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Antonio González-Martín
- Department of Biodiversity, Ecology and Evolution, University Complutense of Madrid, 28040 Madrid, Spain;
| | - Miguel Arenas
- Centro de Investigaciones Biomédicas (CINBIO), University of Vigo, 36310 Vigo, Spain; (C.B.); (M.K.)
- Department of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain
- Correspondence: ; Tel.: +34-986-130-047
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10
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The genetic drivers for the successful invasive potential of a generalist bird, the House crow. Biol Invasions 2021. [DOI: 10.1007/s10530-021-02684-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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11
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Singh G, Yellapu S, Sandhu HS, Sharma I, Sharma V, Bhanwer AJS. Genetic characterisation of the North-West Indian populations: analysis of mitochondrial DNA control region variations. Ann Hum Biol 2021; 48:166-172. [PMID: 33494619 DOI: 10.1080/03014460.2021.1879933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Human mitochondrial DNA presents several interesting characteristics, making it a favourable tool in the field of molecular anthropology, medical genetics, population history, and forensic science. AIM The present study investigated the mitochondrial DNA (mtDNA) control region variations in diverse ethnic groups of North-West India for which population data is insufficient. SUBJECTS AND METHODS The complete mtDNA control regions of 197 unrelated (for up to three generations) healthy individuals belonging to different ethnic groups of North-West India were sequenced. The haplotype frequencies, haplogroup distribution, and pairwise FST values between the studied and other worldwide populations were generated to study patterns of variation in human mtDNA. RESULTS The results ascertained high gene diversity (0.998) in the studied maternal lineages, identifying 166 distinct haplotypes, of which 158 were unique and characterised by 117 variable sites. Three haplogroups: M3, M30, and U7 were observed to be the most prevalent, and phylogeographically a total of 55.86% of sequences were characterised into South Asian, followed by West Eurasian (40.18%) and East Asian (3.96%), ancestry haplogroups. Pairwise genetic differentiation comparisons revealed maternal homogeneity in the studied groups. No population substructure was detected within the North-West Indian populations. CONCLUSION The results of this preliminary study will contribute to an existing database of mtDNA variations of the Indian population and facilitate prospective studies investigating population genetics and human diseases.
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Affiliation(s)
- Gagandeep Singh
- Department of Human Genetics, Guru Nanak Dev University, Amritsar, India.,Department of Anthropology, Panjab University, Chandigarh, India
| | | | | | - Indu Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, India
| | - Varun Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, India
| | - A J S Bhanwer
- Department of Human Genetics, Guru Nanak Dev University, Amritsar, India
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12
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Richerson PJ, Gavrilets S, de Waal FBM. Modern theories of human evolution foreshadowed by Darwin's Descent of Man. Science 2021; 372:372/6544/eaba3776. [PMID: 34016754 DOI: 10.1126/science.aba3776] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 03/15/2021] [Indexed: 12/17/2022]
Abstract
Charles Darwin's The Descent of Man, published 150 years ago, laid the grounds for scientific studies into human origins and evolution. Three of his insights have been reinforced by modern science. The first is that we share many characteristics (genetic, developmental, physiological, morphological, cognitive, and psychological) with our closest relatives, the anthropoid apes. The second is that humans have a talent for high-level cooperation reinforced by morality and social norms. The third is that we have greatly expanded the social learning capacity that we see already in other primates. Darwin's emphasis on the role of culture deserves special attention because during an increasingly unstable Pleistocene environment, cultural accumulation allowed changes in life history; increased cognition; and the appearance of language, social norms, and institutions.
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Affiliation(s)
- Peter J Richerson
- Department of Environmental Science and Policy, University of California, Davis, CA 95616, USA
| | - Sergey Gavrilets
- Department of Ecology and Evolutionary Biology, Department of Mathematics, National Institute for Mathematical and Biological Synthesis, Center for the Dynamics of Social Complexity, University of Tennessee, Knoxville, TN 37996, USA.
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13
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Miller EF, Manica A. mtDNAcombine: tools to combine sequences from multiple studies. BMC Bioinformatics 2021; 22:115. [PMID: 33750296 PMCID: PMC7945669 DOI: 10.1186/s12859-021-04048-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/24/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Today an unprecedented amount of genetic sequence data is stored in publicly available repositories. For decades now, mitochondrial DNA (mtDNA) has been the workhorse of genetic studies, and as a result, there is a large volume of mtDNA data available in these repositories for a wide range of species. Indeed, whilst whole genome sequencing is an exciting prospect for the future, for most non-model organisms' classical markers such as mtDNA remain widely used. By compiling existing data from multiple original studies, it is possible to build powerful new datasets capable of exploring many questions in ecology, evolution and conservation biology. One key question that these data can help inform is what happened in a species' demographic past. However, compiling data in this manner is not trivial, there are many complexities associated with data extraction, data quality and data handling. RESULTS Here we present the mtDNAcombine package, a collection of tools developed to manage some of the major decisions associated with handling multi-study sequence data with a particular focus on preparing sequence data for Bayesian skyline plot demographic reconstructions. CONCLUSIONS There is now more genetic information available than ever before and large meta-data sets offer great opportunities to explore new and exciting avenues of research. However, compiling multi-study datasets still remains a technically challenging prospect. The mtDNAcombine package provides a pipeline to streamline the process of downloading, curating, and analysing sequence data, guiding the process of compiling data sets from the online database GenBank.
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Affiliation(s)
- Eleanor F Miller
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK.
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
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14
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Complete mitogenomes document substantial genetic contribution from the Eurasian Steppe into northern Pakistani Indo-Iranian speakers. Eur J Hum Genet 2021; 29:1008-1018. [PMID: 33637889 DOI: 10.1038/s41431-021-00829-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/31/2021] [Accepted: 02/03/2021] [Indexed: 12/26/2022] Open
Abstract
To elucidate whether Bronze Age population dispersals from the Eurasian Steppe to South Asia contributed to the gene pool of Indo-Iranian-speaking groups, we analyzed 19,568 mitochondrial DNA (mtDNA) sequences from northern Pakistani and surrounding populations, including 213 newly generated mitochondrial genomes (mitogenomes) from Iranian and Dardic groups, both speakers from the ancient Indo-Iranian branch in northern Pakistan. Our results showed that 23% of mtDNA lineages with west Eurasian origin arose in situ in northern Pakistan since ~5000 years ago (kya), a time depth very close to the documented Indo-European dispersals into South Asia during the Bronze Age. Together with ancient mitogenomes from western Eurasia since the Neolithic, we identified five haplogroups (~8.4% of maternal gene pool) with roots in the Steppe region and subbranches arising (age ~5-2 kya old) in northern Pakistan as genetic legacies of Indo-Iranian speakers. Some of these haplogroups, such as W3a1b that have been found in the ancient samples from the late Bronze Age to the Iron Age period individuals of Swat Valley northern Pakistan, even have sub-lineages (age ~4 kya old) in the southern subcontinent, consistent with the southward spread of Indo-Iranian languages. By showing that substantial genetic components of Indo-Iranian speakers in northern Pakistan can be traced to Bronze Age in the Steppe region, our study suggests a demographic link with the spread of Indo-Iranian languages, and further highlights the corridor role of northern Pakistan in the southward dispersal of Indo-Iranian-speaking groups.
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15
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Pedro N, Pinto RJ, Cavadas B, Pereira L. Sub-Saharan African information potential to unveil adaptations to infectious disease. Hum Mol Genet 2021; 30:R138-R145. [PMID: 33461217 DOI: 10.1093/hmg/ddab001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 12/10/2020] [Accepted: 01/05/2021] [Indexed: 12/09/2022] Open
Abstract
Sub-Saharan Africa is the most promising region of the world to conduct high-throughput studies to unveil adaptations to infectious diseases due to several reasons, namely, the longest evolving time-depth in the Homo sapiens phylogenetic tree (at least two-third older than any other worldwide region); the continuous burden of infectious diseases (still number one in health/life threat); and the coexistence of populations practising diverse subsistence modes (nomadic or seminomadic hunter-gatherers and agropastoralists, and sedentary agriculturalists, small urban and megacity groups). In this review, we will present the most up-to-date results that shed light on three main hypotheses related with this adaptation. One is the hypothesis of coevolution between host and pathogen, given enough time for the establishment of this highly dynamic relationship. The second hypothesis enunciates that the agricultural transition was responsible for the increase of the infectious disease burden, due to the huge expansion of the sedentary human population and the cohabitation with domesticates as main reservoirs of pathogens. The third hypothesis states that the boosting of our immune system against pathogens by past selection may have resulted in maladaptation of the developed hygienic societies, leading to an increase of allergic, inflammatory and autoimmune disorders. Further work will enlighten the biological mechanisms behind these main adaptations, which can be insightful for translation into diagnosis, prognosis and treatment interventions.
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Affiliation(s)
- Nicole Pedro
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular, Universidade do Porto, 4200-135 Porto, Portugal.,ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
| | - Ricardo J Pinto
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular, Universidade do Porto, 4200-135 Porto, Portugal.,ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
| | - Bruno Cavadas
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular, Universidade do Porto, 4200-135 Porto, Portugal
| | - Luisa Pereira
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular, Universidade do Porto, 4200-135 Porto, Portugal
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16
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Santiago E, Novo I, Pardiñas AF, Saura M, Wang J, Caballero A. Recent Demographic History Inferred by High-Resolution Analysis of Linkage Disequilibrium. Mol Biol Evol 2020; 37:3642-3653. [DOI: 10.1093/molbev/msaa169] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
AbstractInferring changes in effective population size (Ne) in the recent past is of special interest for conservation of endangered species and for human history research. Current methods for estimating the very recent historical Ne are unable to detect complex demographic trajectories involving multiple episodes of bottlenecks, drops, and expansions. We develop a theoretical and computational framework to infer the demographic history of a population within the past 100 generations from the observed spectrum of linkage disequilibrium (LD) of pairs of loci over a wide range of recombination rates in a sample of contemporary individuals. The cumulative contributions of all of the previous generations to the observed LD are included in our model, and a genetic algorithm is used to search for the sequence of historical Ne values that best explains the observed LD spectrum. The method can be applied from large samples to samples of fewer than ten individuals using a variety of genotyping and DNA sequencing data: haploid, diploid with phased or unphased genotypes and pseudohaploid data from low-coverage sequencing. The method was tested by computer simulation for sensitivity to genotyping errors, temporal heterogeneity of samples, population admixture, and structural division into subpopulations, showing high tolerance to deviations from the assumptions of the model. Computer simulations also show that the proposed method outperforms other leading approaches when the inference concerns recent timeframes. Analysis of data from a variety of human and animal populations gave results in agreement with previous estimations by other methods or with records of historical events.
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Affiliation(s)
- Enrique Santiago
- Departamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, Oviedo, Spain
| | - Irene Novo
- Centro de Investigación Mariña, Departamento de Bioquímica, Genética e Inmunología, Edificio CC Experimentais, Campus de Vigo, Universidade de Vigo, Vigo, Spain
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - María Saura
- Departamento de Mejora Genética Animal, INIA, Madrid, Spain
| | - Jinliang Wang
- Institute of Zoology, Zoological Society of London, London, United Kingdom
| | - Armando Caballero
- Centro de Investigación Mariña, Departamento de Bioquímica, Genética e Inmunología, Edificio CC Experimentais, Campus de Vigo, Universidade de Vigo, Vigo, Spain
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17
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Novel insights on demographic history of tribal and caste groups from West Maharashtra (India) using genome-wide data. Sci Rep 2020; 10:10075. [PMID: 32572090 PMCID: PMC7308293 DOI: 10.1038/s41598-020-66953-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/27/2020] [Indexed: 12/14/2022] Open
Abstract
The South Asian subcontinent is characterized by a complex history of human migrations and population interactions. In this study, we used genome-wide data to provide novel insights on the demographic history and population relationships of six Indo-European populations from the Indian State of West Maharashtra. The samples correspond to two castes (Deshastha Brahmins and Kunbi Marathas) and four tribal groups (Kokana, Warli, Bhil and Pawara). We show that tribal groups have had much smaller effective population sizes than castes, and that genetic drift has had a higher impact in tribal populations. We also show clear affinities between the Bhil and Pawara tribes, and to a lesser extent, between the Warli and Kokana tribes. Our comparisons with available modern and ancient DNA datasets from South Asia indicate that the Brahmin caste has higher Ancient Iranian and Steppe pastoralist contributions than the Kunbi Marathas caste. Additionally, in contrast to the two castes, tribal groups have very high Ancient Ancestral South Indian (AASI) contributions. Indo-European tribal groups tend to have higher Steppe contributions than Dravidian tribal groups, providing further support for the hypothesis that Steppe pastoralists were the source of Indo-European languages in South Asia, as well as Europe.
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18
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Abstract
Despite the efforts made to reconstruct the history of modern humans, there are still poorly explored regions that are key for understanding the phylogeography of our species. One of them is the Philippines, which is crucial to unravel the colonization of Southeast Asia and Oceania but where little is known about when and how the first humans arrived. In order to shed light into this settlement, we collected samples from 157 individuals of the Philippines with the four grandparents belonging to the same region and mitochondrial variants older than 20,000 years. Next, we analyzed the hypervariable I mtDNA region by approximate Bayesian computation based on extensive spatially explicit computer simulations to select among several migration routes towards the Philippines and to estimate population genetic parameters of this colonization. We found that the colonization of the Philippines occurred more than 60,000 years ago, with long-distance dispersal and from both north and south migration routes. Our results also suggest an environmental scenario especially optimal for humans, with large carrying capacity and population growth, in comparison to other regions of Asia. In all, our study suggests a rapid expansion of modern humans towards the Philippines that could be associated with the establisment of maritime technologies and favorable environmental conditions.
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19
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Human occupation of northern India spans the Toba super-eruption ~74,000 years ago. Nat Commun 2020; 11:961. [PMID: 32098950 PMCID: PMC7042215 DOI: 10.1038/s41467-020-14668-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 12/19/2019] [Indexed: 12/14/2022] Open
Abstract
India is located at a critical geographic crossroads for understanding the dispersal of Homo sapiens out of Africa and into Asia and Oceania. Here we report evidence for long-term human occupation, spanning the last ~80 thousand years, at the site of Dhaba in the Middle Son River Valley of Central India. An unchanging stone tool industry is found at Dhaba spanning the Toba eruption of ~74 ka (i.e., the Youngest Toba Tuff, YTT) bracketed between ages of 79.6 ± 3.2 and 65.2 ± 3.1 ka, with the introduction of microlithic technology ~48 ka. The lithic industry from Dhaba strongly resembles stone tool assemblages from the African Middle Stone Age (MSA) and Arabia, and the earliest artefacts from Australia, suggesting that it is likely the product of Homo sapiens as they dispersed eastward out of Africa. When modern humans colonized India is debated. Here, Clarkson and colleagues report an archaeological site in India that has been occupied for approximately 80,000 years and contains a stone tool assemblage attributed to Homo sapiens that matches artefacts from Africa, Arabia, and Australia.
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20
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Li YC, Ye WJ, Jiang CG, Zeng Z, Tian JY, Yang LQ, Liu KJ, Kong QP. River Valleys Shaped the Maternal Genetic Landscape of Han Chinese. Mol Biol Evol 2020; 36:1643-1652. [PMID: 31112995 DOI: 10.1093/molbev/msz072] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
A general south-north genetic divergence has been observed among Han Chinese in previous studies. However, these studies, especially those on mitochondrial DNA (mtDNA), are based either on partial mtDNA sequences or on limited samples. Given that Han Chinese comprise the world's largest population and reside around the whole China, whether the north-south divergence can be observed after all regional populations are considered remains unknown. Moreover, factors involved in shaping the genetic landscape of Han Chinese need further investigation. In this study, we dissected the matrilineal landscape of Han Chinese by studying 4,004 mtDNA haplogroup-defining variants in 21,668 Han samples from virtually all provinces in China. Our results confirmed the genetic divergence between southern and northern Han populations. However, we found a significant genetic divergence among populations from the three main river systems, that is, the Yangtze, the Yellow, and the Zhujiang (Pearl) rivers, which largely attributed to the prevalent distribution of haplogroups D4, B4, and M7 in these river valleys. Further analyses based on 4,986 mitogenomes, including 218 newly generated sequences, indicated that this divergence was already established during the early Holocene and may have resulted from population expansion facilitated by ancient agricultures along these rivers. These results imply that the maternal gene pools of the contemporary Han populations have retained the genetic imprint of early Neolithic farmers from different river basins, or that river valleys represented relative migration barriers that facilitated genetic differentiation, thus highlighting the importance of the three ancient agricultures in shaping the genetic landscape of the Han Chinese.
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Affiliation(s)
- Yu-Chun Li
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Wei-Jian Ye
- Chengdu 23 Mofang Biotechnology Co., Ltd, Chengdu, China
| | | | - Zhen Zeng
- Chengdu 23 Mofang Biotechnology Co., Ltd, Chengdu, China
| | - Jiao-Yang Tian
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming Key Laboratory of Healthy Aging Study, Kunming, China
| | - Kai-Jun Liu
- Chengdu 23 Mofang Biotechnology Co., Ltd, Chengdu, China
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming Key Laboratory of Healthy Aging Study, Kunming, China.,KIZ-SU Joint Laboratory of Animal Model and Drug Development, College of Pharmaceutical Sciences, Soochow University, Suzhou, China.,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, China
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21
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Cardona PJ, Català M, Prats C. Origin of tuberculosis in the Paleolithic predicts unprecedented population growth and female resistance. Sci Rep 2020; 10:42. [PMID: 31913313 PMCID: PMC6949267 DOI: 10.1038/s41598-019-56769-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 12/09/2019] [Indexed: 12/19/2022] Open
Abstract
Current data estimate the origin of Mycobacterium tuberculosis complex (MtbC) infection around 73,000 years before the common era (BCE), and its evolution to “modern” lineages around 46,000 BCE. Being MtbC a major killer of humanity, the question is how both species could persist. To answer this question, we have developed two new epidemiological models (SEIR type), adapted to sex dimorphism and comparing coinfection and superinfection for different MtbC lineages. We have attributed a higher resistance/tolerance to females to explain the lower incidence noted in this sex, a better health status in the Paleolithic compared to the Neolithic, and a higher dissemination of “modern” lineages compared to “ancient” ones. Our findings show the extraordinary impact caused by “modern” lineages, provoking the extinction of the groups infected. This could only be overcomed by an unprecedented population increase (x20 times in 100 years) and helped with the protection generated by previous infection with “ancient” lineages. Our findings also suggest a key role of female resistance against MtbC. This data obliges us to rethink the growth population parameters in the Paleolithic, which is crucial to understanding the survival of both MtbC and humans, and to decipher the nature of human female resistance against TB.
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Affiliation(s)
- Pere-Joan Cardona
- Unitat de Tuberculosi Experimental, Institut de Recerca Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, CIBERES, Badalona, Catalonia, Spain.
| | - Martí Català
- Comparative Medicine and Bioimage Centre of Catalonia (CMCiB). Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Catalonia, Spain
| | - Clara Prats
- Escola Superior d'Agricultura de Barcelona, Departament de Física, Universitat Politècnica de Catalunya (UPC)-BarcelonaTech, Castelldefels, Catalonia, Spain
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22
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Olival KJ, Latinne A, Islam A, Epstein JH, Hersch R, Engstrand RC, Gurley ES, Amato G, Luby SP, Daszak P. Population genetics of fruit bat reservoir informs the dynamics, distribution and diversity of Nipah virus. Mol Ecol 2019; 29:970-985. [PMID: 31652377 DOI: 10.1111/mec.15288] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/21/2019] [Accepted: 10/21/2019] [Indexed: 12/26/2022]
Abstract
The structure and connectivity of wildlife host populations may influence zoonotic disease dynamics, evolution and therefore spillover risk to people. Fruit bats in the genus Pteropus, or flying foxes, are the primary natural reservoir for henipaviruses-a group of emerging paramyxoviruses that threaten livestock and public health. In Bangladesh, Pteropus medius is the reservoir for Nipah virus-and viral spillover has led to human fatalities nearly every year since 2001. Here, we use mitochondrial DNA and nuclear microsatellite markers to measure the population structure, demographic history and phylogeography of P. medius in Bangladesh. We combine this with a phylogeographic analysis of all known Nipah virus sequences and strains currently available to better inform the dynamics, distribution and evolutionary history of Nipah virus. We show that P. medius is primarily panmictic, but combined analysis of microsatellite and morphological data shows evidence for differentiation of two populations in eastern Bangladesh, corresponding to a divergent strain of Nipah virus also found in bats from eastern Bangladesh. Our demographic analyses indicate that a large, expanding population of flying foxes has existed in Bangladesh since the Late Pleistocene, coinciding with human population expansion in South Asia, suggesting repeated historical spillover of Nipah virus likely occurred. We present the first evidence of mitochondrial introgression, or hybridization, between P. medius and flying fox species found in South-East Asia (P. vampyrus and P. hypomelanus), which may help to explain the distribution of Nipah virus strains across the region.
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Affiliation(s)
| | | | | | | | - Rebecca Hersch
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA
| | - Rachel C Engstrand
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA
| | | | - George Amato
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA
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23
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Li YC, Tian JY, Liu FW, Yang BY, Gu KSY, Rahman ZU, Yang LQ, Chen FH, Dong GH, Kong QP. Neolithic millet farmers contributed to the permanent settlement of the Tibetan Plateau by adopting barley agriculture. Natl Sci Rev 2019; 6:1005-1013. [PMID: 34691962 PMCID: PMC8291429 DOI: 10.1093/nsr/nwz080] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 04/17/2019] [Accepted: 06/19/2019] [Indexed: 12/30/2022] Open
Abstract
The permanent human settlement of the Tibetan Plateau (TP) has been suggested to have been facilitated by the introduction of barley agriculture ∼3.6 kilo-years ago (ka). However, how barley agriculture spread onto the TP remains unknown. Given that the lower altitudes in the northeastern TP were occupied by millet cultivators from 5.2 ka, who also adopted barley farming ∼4 ka, it is highly possible that it was millet farmers who brought barley agriculture onto the TP ∼3.6 ka. To test this hypothesis, we analyzed mitochondrial DNA (mtDNA) from 8277 Tibetans and 58 514 individuals from surrounding populations, including 682 newly sequenced whole mitogenomes. Multiple lines of evidence, together with radiocarbon dating of cereal remains at different elevations, supports the scenario that two haplogroups (M9a1a1c1b1a and A11a1a), which are common in contemporary Tibetans (20.9%) and were probably even more common (40–50%) in early Tibetans prior to historical immigrations to the TP, represent the genetic legacy of the Neolithic millet farmers. Both haplogroups originated in northern China between 10.0–6.0 ka and differentiated in the ancestors of modern Tibetans ∼5.2–4.0 ka, matching the dispersal history of millet farming. By showing that substantial genetic components in contemporary Tibetans can trace their ancestry back to the Neolithic millet farmers, our study reveals that millet farmers adopted and brought barley agriculture to the TP ∼3.6–3.3 ka, and made an important contribution to the Tibetan gene pool.
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Affiliation(s)
- Yu-Chun Li
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Jiao-Yang Tian
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Feng-Wen Liu
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China
| | - Bin-Yu Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Kang-Shu-Yun Gu
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Zia Ur Rahman
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Fa-Hu Chen
- CAS Center for Excellence in Tibetan Plateau Earth Sciences and Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research (ITPCAS), Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China
| | - Guang-Hui Dong
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China
- CAS Center for Excellence in Tibetan Plateau Earth Sciences and Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research (ITPCAS), Chinese Academy of Sciences, Beijing 100101, China
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Key Laboratory of Healthy Aging Study, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
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Shultz DR, Montrey M, Shultz TR. Comparing fitness and drift explanations of Neanderthal replacement. Proc Biol Sci 2019; 286:20190907. [PMID: 31185865 DOI: 10.1098/rspb.2019.0907] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
There is a general consensus among archaeologists that replacement of Neanderthals by anatomically modern humans in Europe occurred around 40-35 ka. However, the causal mechanism for this replacement continues to be debated. Proposed models have featured either fitness advantages in favour of anatomically modern humans or invoked neutral drift under various preconditions. Searching for specific fitness advantages in the archaeological record has proven difficult, as these may be obscured, absent or subject to interpretation. To bridge this gap, we rigorously compare the system-level properties of fitness- and drift-based explanations of Neanderthal replacement. Our stochastic simulations and analytical predictions show that, although both fitness and drift can produce replacement, they present important differences in (i) required initial conditions, (ii) reliability, (iii) time to replacement, and (iv) path to replacement (population histories). These results present useful opportunities for comparison with archaeological and genetic data. We find greater agreement between the available empirical evidence and the system-level properties of replacement by differential fitness, rather than by neutral drift.
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Affiliation(s)
- Daniel R Shultz
- 1 Department of Anthropology, McGill University , Montreal, Quebec , Canada.,2 Department of History, McGill University , Montreal, Quebec , Canada
| | - Marcel Montrey
- 3 Department of Psychology, McGill University , Montreal, Quebec , Canada
| | - Thomas R Shultz
- 3 Department of Psychology, McGill University , Montreal, Quebec , Canada.,4 School of Computer Science, McGill University , Montreal, Quebec , Canada
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25
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26
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A dispersal of Homo sapiens from southern to eastern Africa immediately preceded the out-of-Africa migration. Sci Rep 2019; 9:4728. [PMID: 30894612 PMCID: PMC6426877 DOI: 10.1038/s41598-019-41176-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 02/19/2019] [Indexed: 01/08/2023] Open
Abstract
Africa was the birth-place of Homo sapiens and has the earliest evidence for symbolic behaviour and complex technologies. The best-attested early flowering of these distinctive features was in a glacial refuge zone on the southern coast 100–70 ka, with fewer indications in eastern Africa until after 70 ka. Yet it was eastern Africa, not the south, that witnessed the first major demographic expansion, ~70–60 ka, which led to the peopling of the rest of the world. One possible explanation is that important cultural traits were transmitted from south to east at this time. Here we identify a mitochondrial signal of such a dispersal soon after ~70 ka – the only time in the last 200,000 years that humid climate conditions encompassed southern and tropical Africa. This dispersal immediately preceded the out-of-Africa expansions, potentially providing the trigger for these expansions by transmitting significant cultural elements from the southern African refuge.
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27
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Ferrari A, Tinti F, Bertucci Maresca V, Velonà A, Cannas R, Thasitis I, Costa FO, Follesa MC, Golani D, Hemida F, Helyar SJ, Mancusi C, Mulas A, Serena F, Sion L, Stagioni M, Cariani A. Natural history and molecular evolution of demersal Mediterranean sharks and skates inferred by comparative phylogeographic and demographic analyses. PeerJ 2018; 6:e5560. [PMID: 30245927 PMCID: PMC6149499 DOI: 10.7717/peerj.5560] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 08/09/2018] [Indexed: 11/22/2022] Open
Abstract
Background The unique and complex paleoclimatic and paleogeographic events which affected the Mediterranean Sea since late Miocene deeply influenced the distribution and evolution of marine organisms and shaped their genetic structure. Following the Messinian salinity crisis and the sea-level fluctuations during the Pleistocene, several Mediterranean marine species developed deep genetic differentiation, and some underwent rapid radiation. Here, we consider two of the most prioritized groups for conservation in the light of their evolutionary history: sharks and rays (elasmobranchs). This paper deals with a comparative multispecies analysis of phylogeographic structure and historical demography in two pairs of sympatric, phylogenetically- and ecologically-related elasmobranchs, two scyliorhinid catsharks (Galeus melastomus, Scyliorhinus canicula) and two rajid skates (Raja clavata, Raja miraletus). Sampling and experimental analyses were designed to primarily test if the Sicilian Channel can be considered as effective eco-physiological barrier for Mediterranean demersal sympatric elasmobranchs. Methods The phylogeography and the historical demography of target species were inferred by analysing the nucleotide variation of three mitochondrial DNA markers (i.e., partial sequence of COI, NADH2 and CR) obtained from a total of 248 individuals sampled in the Western and Eastern Mediterranean Sea as well as in the adjacent northeastern Atlantic Ocean. Phylogeographic analysis was performed by haplotype networking and testing spatial genetic differentiation of samples (i.e., analysis of molecular variance and of principal components). Demographic history of Mediterranean populations was reconstructed using mismatch distribution and Bayesian Skyline Plot analyses. Results No spatial genetic differentiation was identified in either catshark species, while phylogeographic structure of lineages was identified in both skates, with R. miraletus more structured than R. clavata. However, such structuring of skate lineages was not consistent with the separation between Western and Eastern Mediterranean. Sudden demographic expansions occurred synchronously during the upper Pleistocene (40,000–60,000 years ago) in both skates and G. melastomus, likely related to optimal environmental conditions. In contrast, S. canicula experienced a slow and constant increase in population size over the last 350,000 years. Discussion The comparative analysis of phylogeographic and historical demographic patterns for the Mediterranean populations of these elasmobranchs reveals that historical phylogeographic breaks have not had a large impact on their microevolution. We hypothesize that interactions between environmental and ecological/physiological traits may have been the driving force in the microevolution of these demersal elasmobranch species in the Mediterranean rather than oceanographic barriers.
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Affiliation(s)
- Alice Ferrari
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Fausto Tinti
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Victoria Bertucci Maresca
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.,Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Alessandro Velonà
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Rita Cannas
- Department of Life Sciences and Environment, University of Cagliari, Cagliari, Italy
| | - Ioannis Thasitis
- Department of Fisheries and Marine Research, Ministry of Agriculture, Natural Resources and Environment, Nicosia, Cyprus
| | - Filipe Oliveira Costa
- Centre of Molecular and Environmental Biology (CBMA), University of Minho, Braga, Portugal
| | | | - Daniel Golani
- Department of Evolution, Systematics and Ecology, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Farid Hemida
- Ecole Nationale Supérieure des Sciences de la Mer et de Aménagement du Littoral (ENSSMAL), Algiers, Algeria
| | - Sarah J Helyar
- School of Biological Sciences, Institute for Global Food Security, The Queen's University Belfast, Belfast, United Kingdom
| | - Cecilia Mancusi
- Regional Agency for Environmental Protection-Toscana (ARPAT), Livorno, Italy
| | - Antonello Mulas
- Department of Life Sciences and Environment, University of Cagliari, Cagliari, Italy
| | - Fabrizio Serena
- Institute Coastal Marine Environment, Italian National Research Council (CNR-IAMC), Mazara del Vallo, Italy
| | - Letizia Sion
- Department of Biology, University of Bari, Bari, Italy
| | - Marco Stagioni
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Alessia Cariani
- Department of Biological, Geological & Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
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Oliveira M, Ferreira J, Fernandes V, Sakuntabhai A, Pereira L. Host ancestry and dengue fever: from mapping of candidate genes to prediction of worldwide genetic risk. Future Virol 2018. [DOI: 10.2217/fvl-2018-0073] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Prevalence of many complex diseases, including dengue disease, is not even across the world. Dengue is endemic in several overpopulated urban centers in poor Asian and American countries, representing a risk to two-thirds of the human population. High-throughput genomic screenings and new algorithms of admixture mapping are allowing confirming that ancestry plays a major role in dengue disease. Allele and haplotype candidate frequencies display high heterogeneity between population groups, especially in comparison with Africans. Genetic risk evaluation testifies African ancestry protection against the more severe forms of the disease, most probably due to natural selection of protective variants. European genetic predisposition is identical to the Asian for severer forms, but lower for mild dengue fever.
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Affiliation(s)
- Marisa Oliveira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75015 Paris, France
| | - Joana Ferreira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal
| | - Verónica Fernandes
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Anavaj Sakuntabhai
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75015 Paris, France
- Pasteur Kyoto International Joint Research Unit for Integrative Vaccinomics, Kyoto, Japan
- CNRS, Unité de Recherche Associée 3012, 75015 Paris, France
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
- Departamento de Patologia, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal
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29
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Iliescu FM, Chaplin G, Rai N, Jacobs GS, Basu Mallick C, Mishra A, Thangaraj K, Jablonski NG. The influences of genes, the environment, and social factors on the evolution of skin color diversity in India. Am J Hum Biol 2018; 30:e23170. [PMID: 30099804 DOI: 10.1002/ajhb.23170] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 06/18/2018] [Accepted: 07/09/2018] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES Skin color is a highly visible and variable trait across human populations. It is not yet clear how evolutionary forces interact to generate phenotypic diversity. Here, we sought to unravel through an integrative framework the role played by three factors-demography and migration, sexual selection, and natural selection-in driving skin color diversity in India. METHODS Skin reflectance data were collected from 10 diverse socio-cultural populations along the latitudinal expanse of India, including both sexes. We first looked at how skin color varies within and between these populations. Second, we compared patterns of sexual dimorphism in skin color. Third, we studied the influence of ultraviolet radiation on skin color throughout India. Finally, we attempted to disentangle the interactions between these factors in the context of available genetic data. RESULTS We found that the relative importance of these forces varied between populations. Social factors and population structure have played a stronger role than natural selection in shaping skin color diversity across India. Phenotypic overprinting resulted from additional genetic mutations overriding the skin lightening effect of variants such as the SLC24A5 rs1426654-A allele in some populations, in the context of the variable influence of sexual selection. Furthermore, specific genotypes are not associated reliably with specific skin color phenotypes. This result has relevance for DNA forensics and ancient DNA research. CONCLUSIONS India is a crucible of macro- and micro-evolutionary forces, and the complex interactions of physical and social forces are visible in the patterns of skin color seen today in the country.
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Affiliation(s)
- Florin Mircea Iliescu
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom.,Centro de Estudios Interculturales e Indígenas - CIIR, P. Universidad Católica de Chile, Santiago, Chile
| | - George Chaplin
- Department of Anthropology, The Pennsylvania State University, University Park, State Park, Pennsylvania
| | - Niraj Rai
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.,Birbal Sahni Institute of Palaeosciences, Lucknow, India
| | - Guy S Jacobs
- Complexity Institute, Nanyang Technological University, Singapore
| | - Chandana Basu Mallick
- Estonian Biocentre, Tartu, Estonia.,The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom
| | - Anshuman Mishra
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | | | - Nina G Jablonski
- Department of Anthropology, The Pennsylvania State University, University Park, State Park, Pennsylvania
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30
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Miller EF, Manica A, Amos W. Global demographic history of human populations inferred from whole mitochondrial genomes. ROYAL SOCIETY OPEN SCIENCE 2018; 5:180543. [PMID: 30225046 PMCID: PMC6124094 DOI: 10.1098/rsos.180543] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 07/25/2018] [Indexed: 06/08/2023]
Abstract
The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete mtDNA genomes from over 1700 individuals, from the 1000 Genomes Project Phase 3, to explore changes in populations sizes in five populations for each of four major geographical regions, using a sophisticated coalescent-based Bayesian method (extended Bayesian skyline plots) and mutation rates calibrated with ancient DNA. Despite the power and sophistication of our analysis, we fail to find size changes that correspond to the Neolithic transitions of the study populations. However, we do detect a number of size changes, which tend to be replicated in most populations within each region. These changes are mostly much older than the Neolithic transition and could reflect either population expansion or changes in population structure. Given the amount of migration and population mixing that occurred after these ancient signals were generated, we caution that modern populations will often carry ghost signals of demographic events that occurred far away from their current location.
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Kavanagh PH, Vilela B, Haynie HJ, Tuff T, Lima-Ribeiro M, Gray RD, Botero CA, Gavin MC. Hindcasting global population densities reveals forces enabling the origin of agriculture. Nat Hum Behav 2018; 2:478-484. [DOI: 10.1038/s41562-018-0358-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 05/03/2018] [Indexed: 11/09/2022]
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32
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Chong ETJ, Neoh JWF, Lau TY, Lim YAL, Chua KH, Lee PC. Genetic and haplotype analyses targeting cytochrome b gene of Plasmodium knowlesi isolates of Malaysian Borneo and Peninsular Malaysia. Acta Trop 2018; 181:35-39. [PMID: 29409854 DOI: 10.1016/j.actatropica.2018.01.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 01/03/2018] [Accepted: 01/24/2018] [Indexed: 01/09/2023]
Abstract
Malaria is a notorious disease which causes major global morbidity and mortality. This study aims to investigate the genetic and haplotype differences of Plasmodium knowlesi (P. knowlesi) isolates in Malaysian Borneo and Peninsular Malaysia based on the molecular analysis of the cytochrome b (cyt b) gene. The cyt b gene of 49 P. knowlesi isolates collected from Sabah, Malaysian Borneo and Peninsular Malaysia was amplified using PCR, cloned into a commercialized vector and sequenced. In addition, 45 cyt b sequences were retrieved from humans and macaques bringing to a total of 94 cyt b gene nucleotide sequences for phylogenetic analysis. Genetic and haplotype analyses of the cyt b were analyzed using MEGA6 and DnaSP ver. 5.10.01. The haplotype genealogical linkage of cyt b was generated using NETWORK ver. 4.6.1.3. Our phylogenetic tree revealed the conservation of the cyt b coding sequences with no distinct cluster across different geographic regions. Nucleotide analysis of cyt b showed that the P. knowlesi isolates underwent purifying selection with population expansion, which was further supported by extensive haplotype sharing between the macaques and humans from Malaysian Borneo and Peninsular Malaysia in the median-joining network analysis. This study expands knowledge on conservation of the zoonotic P. knowlesi cyt b gene between Malaysian Borneo and Peninsular Malaysia.
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Affiliation(s)
- Eric Tzyy Jiann Chong
- Biotechnology Programme, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Joveen Wan Fen Neoh
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Tiek Ying Lau
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Yvonne Ai-Lian Lim
- Department of Parasitology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Centre of Excellence for Research in AIDS (CERiA), University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Kek Heng Chua
- Department of Biomedical Science, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Ping-Chin Lee
- Biotechnology Programme, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia; Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
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Smith FA, Elliott Smith RE, Lyons SK, Payne JL. Body size downgrading of mammals over the late Quaternary. Science 2018; 360:310-313. [PMID: 29674591 DOI: 10.1126/science.aao5987] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 03/07/2018] [Indexed: 12/30/2022]
Abstract
Since the late Pleistocene, large-bodied mammals have been extirpated from much of Earth. Although all habitable continents once harbored giant mammals, the few remaining species are largely confined to Africa. This decline is coincident with the global expansion of hominins over the late Quaternary. Here, we quantify mammalian extinction selectivity, continental body size distributions, and taxonomic diversity over five time periods spanning the past 125,000 years and stretching approximately 200 years into the future. We demonstrate that size-selective extinction was already under way in the oldest interval and occurred on all continents, within all trophic modes, and across all time intervals. Moreover, the degree of selectivity was unprecedented in 65 million years of mammalian evolution. The distinctive selectivity signature implicates hominin activity as a primary driver of taxonomic losses and ecosystem homogenization. Because megafauna have a disproportionate influence on ecosystem structure and function, past and present body size downgrading is reshaping Earth's biosphere.
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Affiliation(s)
- Felisa A Smith
- Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA.
| | | | - S Kathleen Lyons
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Jonathan L Payne
- Department of Geological Sciences, Stanford University, Stanford, CA 94305, USA
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Oliveira M, Saraiva DP, Cavadas B, Fernandes V, Pedro N, Casademont I, Koeth F, Alshamali F, Harich N, Cherni L, Sierra B, Guzman MG, Sakuntabhai A, Pereira L. Population genetics-informed meta-analysis in seven genes associated with risk to dengue fever disease. INFECTION GENETICS AND EVOLUTION 2018; 62:60-72. [PMID: 29673983 DOI: 10.1016/j.meegid.2018.04.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 04/02/2018] [Accepted: 04/13/2018] [Indexed: 12/30/2022]
Abstract
Population genetics theory predicted that rare frequent markers would be the main contributors for heritability of complex diseases, but meta-analyses of genome-wide association studies are revealing otherwise common markers, present in all population groups, as the identified candidate genes. In this work, we applied a population-genetics informed meta-analysis to 10 markers located in seven genes said to be associated with dengue fever disease. Seven markers (in PLCE1, CD32, CD209, OAS1 and OAS3 genes) have high-frequency and the other three (in MICB and TNFA genes) have intermediate frequency. Most of these markers have high discriminatory power between population groups, but their frequencies follow the rules of genetic drift, and seem to have not been under strong selective pressure. There was a good agreement in directional consistency across trans-ethnic association signals, in East Asian and Latin American cohorts, with heterogeneity generated by randomness between studies and especially by low sample sizes. This led to confirm the following significant associations: with DF, odds ratio of 0.67 for TNFA-rs1800629-A; with DHF, 0.82 for CD32-rs1801274-G; with DSS, 0.55 for OAS3-rs2285933-G, 0.80 for PLCE1-rs2274223-G and 1.32 for MICB-rs3132468-C. The overall genetic risks confirmed sub-Saharan African populations and descendants as the best protected against the severer forms of the disease, while Southeast and Northeast Asians are the least protected ones. European and close neighbours are the best protected against dengue fever, while, again, Southeast and Northeast Asians are the least protected ones. These risk scores provide important predictive information for the largely naïve European and North American regions, as well as for Africa where misdiagnosis with other hemorrhagic diseases is of concern.
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Affiliation(s)
- Marisa Oliveira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal; Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75724 Paris Cedex 15, France
| | - Diana P Saraiva
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal; Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75724 Paris Cedex 15, France
| | - Bruno Cavadas
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal
| | - Verónica Fernandes
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Nicole Pedro
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Isabelle Casademont
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75724 Paris Cedex 15, France; Pasteur Kyoto International Joint Research Unit for Integrative Vaccinomics, Kyoto, Japan
| | - Fanny Koeth
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75724 Paris Cedex 15, France; Pasteur Kyoto International Joint Research Unit for Integrative Vaccinomics, Kyoto, Japan
| | - Farida Alshamali
- General Department of Forensic Sciences and Criminology, Dubai Police General Headquarters, PO Box 1493, Dubai, United Arab Emirates
| | - Nourdin Harich
- Laboratoire des Sciences Anthropogénétiques et Biotechnologies, Départment de Biologie, Université Chouaïb Doukkali, El Jadida 24000, Morocco
| | - Lotfi Cherni
- Laboratory of Genetics, Immunology and Human Pathology, Faculté de Sciences de Tunis, Université de Tunis El Manar, Tunis 2092, Tunisia; Tunis and High Institute of Biotechnology, University of Monastir, 5000 Monastir, Tunisia
| | - Beatriz Sierra
- Virology Department, PAHO/WHO Collaborating Center for the Study of Dengue and its Vector, Pedro Kourí Institute of Tropical Medicine (IPK), 601 Havana, Cuba
| | - Maria G Guzman
- Virology Department, PAHO/WHO Collaborating Center for the Study of Dengue and its Vector, Pedro Kourí Institute of Tropical Medicine (IPK), 601 Havana, Cuba
| | - Anavaj Sakuntabhai
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, 75724 Paris Cedex 15, France; Pasteur Kyoto International Joint Research Unit for Integrative Vaccinomics, Kyoto, Japan; CNRS UMR2000: Génomique évolutive, modélisation et santé (GEMS), Paris, France
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135 Porto, Portugal; Faculdade de Medicina da Universidade do Porto, Portugal.
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35
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Mitchison N, Mitchison T. Genetic disease in India and the West compared: provisional analysis of population dynamics. J Genet 2018. [DOI: 10.1007/s12041-017-0871-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Hariprakash JM, Vellarikkal SK, Verma A, Ranawat AS, Jayarajan R, Ravi R, Kumar A, Dixit V, Sivadas A, Kashyap AK, Senthivel V, Sehgal P, Mahadevan V, Scaria V, Sivasubbu S. SAGE: a comprehensive resource of genetic variants integrating South Asian whole genomes and exomes. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2018; 2018:1-10. [PMID: 30184194 PMCID: PMC6146123 DOI: 10.1093/database/bay080] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 07/03/2018] [Indexed: 11/20/2022]
Abstract
South Asia is home to \documentclass[12pt]{minimal}
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}{}$\sim $\end{document}20% of the world population and characterized by distinct ethnic, linguistic, cultural and genetic lineages. Only limited representative samples from the region have found its place in large population-scale international genome projects. The recent availability of genome scale data from multiple populations and datasets from South Asian countries in public domain motivated us to integrate the data into a comprehensive resource. In the present study, we have integrated a total of six datasets encompassing 1213 human exomes and genomes to create a compendium of 154 814 557 genetic variants and adding a total of 69 059 255 novel variants. The variants were systematically annotated using public resources and along with the allele frequencies are available as a browsable-online resource South Asian genomes and exomes. As a proof of principle application of the data and resource for genetic epidemiology, we have analyzed the pathogenic genetic variants causing retinitis pigmentosa. Our analysis reveals the genetic landscape of the disease and suggests subset of genetic variants to be highly prevalent in South Asia.
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Affiliation(s)
- Judith Mary Hariprakash
- GN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Shamsudheen Karuthedath Vellarikkal
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Ankit Verma
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Anop Singh Ranawat
- GN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Rijith Jayarajan
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Rowmika Ravi
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Anoop Kumar
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Vishal Dixit
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Ambily Sivadas
- GN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Atul Kumar Kashyap
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Vigneshwar Senthivel
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Paras Sehgal
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Vijayalakshmi Mahadevan
- School of Chemical & Biotechnology, Shanmugha Arts, Science, Technology and Research Academy (SASTRA) University, Thanjavur, Tamil Nadu 613402, India
| | - Vinod Scaria
- GN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
| | - Sridhar Sivasubbu
- Genomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India
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Peng MS, Xu W, Song JJ, Chen X, Sulaiman X, Cai L, Liu HQ, Wu SF, Gao Y, Abdulloevich NT, Afanasevna ME, Ibrohimovich KB, Chen X, Yang WK, Wu M, Li GM, Yang XY, Rakha A, Yao YG, Upur H, Zhang YP. Mitochondrial genomes uncover the maternal history of the Pamir populations. Eur J Hum Genet 2017; 26:124-136. [PMID: 29187735 DOI: 10.1038/s41431-017-0028-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 09/08/2017] [Accepted: 10/06/2017] [Indexed: 12/22/2022] Open
Abstract
The Pamirs, among the world's highest mountains in Central Asia, are one of homelands with the most extreme high altitude for several ethnic groups. The settlement history of modern humans on the Pamirs remains still opaque. Herein, we have sequenced the mitochondrial DNA (mtDNA) genomes of 382 individuals belonging to eight populations from the Pamirs and the surrounding lowlands in Central Asia. We construct the Central Asian (including both highlanders and lowlanders) mtDNA haplogroup tree at the highest resolution. All the matrilineal components are assigned into the defined mtDNA haplogroups in East and West Eurasians. No basal lineages that directly emanate from the Eurasian founder macrohaplogroups M, N, and R are found. Our data support the origin of Central Asian being the result of East-West Eurasian admixture. The coalescence ages for more than 93% mtDNA lineages in Central Asians are dated after the last glacial maximum (LGM). The post-LGM and/or later dispersals/admixtures play dominant roles in shaping the maternal gene pool of Central Asians. More importantly, our analyses reveal the mtDNA heterogeneity in the Pamir highlanders, not only between the Turkic Kyrgyz and the Indo-European Tajik groups, but also among three highland Tajiks. No evidence supports positive selection or relaxation of selective constraints in the mtDNAs of highlanders as compared to that of lowlanders. Our results suggest a complex history for the peopling of Pamirs by multiple waves of migrations from various genetic resources during different time scales.
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Affiliation(s)
- Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Weifang Xu
- Key Laboratory of the Chinese Ministry of Education and Xinjiang Uighur Autonomous Region for High-Incident Diseases in Uighur Ethnic Population, Xinjiang Medical University, Urumqi, 830011, China.,Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi, 830000, China
| | - Jiao-Jiao Song
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Xing Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | | | - Liuhong Cai
- The Second People's Hospital of Kashi, Kashi, 844000, China
| | - He-Qun Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Shi-Fang Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Yun Gao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Najmudinov Tojiddin Abdulloevich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe, 734025, Tajikistan
| | - Manilova Elena Afanasevna
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe, 734025, Tajikistan
| | - Khudoidodov Behruz Ibrohimovich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe, 734025, Tajikistan
| | - Xi Chen
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, 830011, China.,Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
| | - Wei-Kang Yang
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, 830011, China.,Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
| | - Miao Wu
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, 830011, China.,Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
| | - Gui-Mei Li
- Kunming Biological Diversity Regional Center of Large Apparatus and Equipments, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Xing-Yan Yang
- State Key Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, 650091, China
| | - Allah Rakha
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, 650223, China.,Department of Forensic Sciences, University of Health Sciences, Lahore, 54600, Pakistan
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, 650223, China.,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China
| | - Halmurat Upur
- Key Laboratory of the Chinese Ministry of Education and Xinjiang Uighur Autonomous Region for High-Incident Diseases in Uighur Ethnic Population, Xinjiang Medical University, Urumqi, 830011, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China. .,State Key Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, 650091, China. .,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China.
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A parsimonious neutral model suggests Neanderthal replacement was determined by migration and random species drift. Nat Commun 2017; 8:1040. [PMID: 29089499 PMCID: PMC5717005 DOI: 10.1038/s41467-017-01043-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 08/15/2017] [Indexed: 02/02/2023] Open
Abstract
Most hypotheses in the heated debate about the Neanderthals’ replacement by modern humans highlight the role of environmental pressures or attribute the Neanderthals’ demise to competition with modern humans, who occupied the same ecological niche. The latter assume that modern humans benefited from some selective advantage over Neanderthals, which led to the their extinction. Here we show that a scenario of migration and selectively neutral species drift predicts the Neanderthals’ replacement. Our model offers a parsimonious alternative to those that invoke external factors or selective advantage, and represents a null hypothesis for assessing such alternatives. For a wide range of parameters, this hypothesis cannot be rejected. Moreover, we suggest that although selection and environmental factors may or may not have played a role in the inter-species dynamics of Neanderthals and modern humans, the eventual replacement of the Neanderthals was determined by the repeated migration of modern humans from Africa into Eurasia. The replacement of Neanderthals by modern humans is thought to have been due to environmental factors, a selective advantage of modern humans, or both. Here, Kolodny and Feldman develop a neutral model of species drift showing that rapid Neanderthal replacement can be explained parsimoniously by simple migration dynamics.
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Pischedda S, Barral-Arca R, Gómez-Carballa A, Pardo-Seco J, Catelli ML, Álvarez-Iglesias V, Cárdenas JM, Nguyen ND, Ha HH, Le AT, Martinón-Torres F, Vullo C, Salas A. Phylogeographic and genome-wide investigations of Vietnam ethnic groups reveal signatures of complex historical demographic movements. Sci Rep 2017; 7:12630. [PMID: 28974757 PMCID: PMC5626762 DOI: 10.1038/s41598-017-12813-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 09/14/2017] [Indexed: 01/21/2023] Open
Abstract
The territory of present-day Vietnam was the cradle of one of the world’s earliest civilizations, and one of the first world regions to develop agriculture. We analyzed the mitochondrial DNA (mtDNA) complete control region of six ethnic groups and the mitogenomes from Vietnamese in The 1000 Genomes Project (1000G). Genome-wide data from 1000G (~55k SNPs) were also investigated to explore different demographic scenarios. All Vietnamese carry South East Asian (SEA) haplotypes, which show a moderate geographic and ethnic stratification, with the Mong constituting the most distinctive group. Two new mtDNA clades (M7b1a1f1 and F1f1) point to historical gene flow between the Vietnamese and other neighboring countries. Bayesian-based inferences indicate a time-deep and continuous population growth of Vietnamese, although with some exceptions. The dramatic population decrease experienced by the Cham 700 years ago (ya) fits well with the Nam tiến (“southern expansion”) southwards from their original heartland in the Red River Delta. Autosomal SNPs consistently point to important historical gene flow within mainland SEA, and add support to a main admixture event occurring between Chinese and a southern Asian ancestral composite (mainly represented by the Malay). This admixture event occurred ~800 ya, again coinciding with the Nam tiến.
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Affiliation(s)
- S Pischedda
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.,Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Galicia, Spain
| | - R Barral-Arca
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.,Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Galicia, Spain
| | - A Gómez-Carballa
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.,Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Galicia, Spain
| | - J Pardo-Seco
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.,Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Galicia, Spain
| | - M L Catelli
- Equipo Argentino de Antropología Forense, Independencia, 644, Córdoba, Argentina
| | - V Álvarez-Iglesias
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain
| | - J M Cárdenas
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain.,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.,Grupo de Investigación en Genética Forense - Instituto Nacional de Medicina Legal y Ciencias Forenses, Bogotá, Colombia
| | - N D Nguyen
- National Institute of Forensic Medicine, Ministry of Health, Ha Noi, Vietnam
| | - H H Ha
- National Institute of Forensic Medicine, Ministry of Health, Ha Noi, Vietnam
| | - A T Le
- National Institute of Forensic Medicine, Ministry of Health, Ha Noi, Vietnam
| | - F Martinón-Torres
- Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Galicia, Spain
| | - C Vullo
- Equipo Argentino de Antropología Forense, Independencia, 644, Córdoba, Argentina
| | - A Salas
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Galicia, Spain. .,GenPoB Research Group, Instituto de Investigaciones Sanitarias (IDIS), Hospital Clínico Universitario de Santiago, Galicia, Spain.
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40
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Vyas DN, Al‐Meeri A, Mulligan CJ. Testing support for the northern and southern dispersal routes out of Africa: an analysis of Levantine and southern Arabian populations. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2017; 164:736-749. [DOI: 10.1002/ajpa.23312] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 08/28/2017] [Accepted: 08/29/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Deven N. Vyas
- Department of AnthropologyUniversity of Florida, 1112 Turlington Hall, PO Box 117305Gainesville Florida 32611‐7305
- Genetics InstituteUniversity of Florida, Cancer & Genetics Research Complex, PO Box 103610Gainesville Florida 32610‐3610
| | - Ali Al‐Meeri
- Department of Clinical Biochemistry, Faculty of Medicine and Health SciencesUniversity of Sana'aSana'a Yemen
| | - Connie J. Mulligan
- Department of AnthropologyUniversity of Florida, 1112 Turlington Hall, PO Box 117305Gainesville Florida 32611‐7305
- Genetics InstituteUniversity of Florida, Cancer & Genetics Research Complex, PO Box 103610Gainesville Florida 32610‐3610
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41
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Starkovich BM. Paleolithic subsistence strategies and changes in site use at Klissoura Cave 1 (Peloponnese, Greece). J Hum Evol 2017; 111:63-84. [PMID: 28874275 DOI: 10.1016/j.jhevol.2017.04.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 03/24/2017] [Accepted: 04/18/2017] [Indexed: 11/17/2022]
Abstract
Klissoura Cave 1 in southern Greece preserves a long archaeological sequence that spans roughly 90,000 years and includes Middle Paleolithic, Uluzzian, Upper Paleolithic, and Mesolithic deposits. The site provides a unique opportunity to examine diachronic change and shifts in the intensity of site use across the Late Pleistocene. There is an overall picture of the intensified use of faunal resources at the site, evidenced by a shift from large to small game, and to small fast-moving taxa in particular. This trend is independent of climatic change and fluctuations in site use, and most likely reflects a broader, regional growth of hominin populations. At the same time, multiple lines of evidence (e.g., input of artifacts and features, sedimentation mechanisms, and intensification of faunal resources) indicate that the intensity of site use changed, with a sharp increase from the Middle Paleolithic to Aurignacian. This allows us to address a fundamental issue in the study of human evolution: differences in population size and site use between Neandertals and modern humans. At Klissoura Cave 1, the increase in occupation intensity might be related to population growth or larger group size, but it might also be due to changes in season of site use, more favorable environmental conditions at the beginning of the Upper Paleolithic, and/or changes in the composition of people occupying the site. These explanations are not necessarily mutually exclusive, and indeed the data support a combination of factors. Ascribing the increase in occupation intensity to larger Upper Paleolithic populations more broadly is difficult, particularly because there is little consensus on this topic elsewhere in Eurasia. The data are complicated and vary greatly between sites and regions. This makes Klissoura Cave 1, as the only currently available case study in southeastern Europe, a critical example in understanding the range of variation in demography and site use across the Middle to Upper Paleolithic transition.
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Affiliation(s)
- Britt M Starkovich
- Institute for Archaeological Sciences, University of Tübingen, Germany; Senckenberg Center for Human Evolution and Paleoenvironment at Tübingen, Germany; School of Anthropology, University of Arizona, Tucson, USA.
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43
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Leonardi M, Barbujani G, Manica A. An earlier revolution: genetic and genomic analyses reveal pre-existing cultural differences leading to Neolithization. Sci Rep 2017; 7:3525. [PMID: 28615641 PMCID: PMC5471218 DOI: 10.1038/s41598-017-03717-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 05/02/2017] [Indexed: 01/28/2023] Open
Abstract
Archaeological evidence shows that, in the long run, Neolitization (the transition from foraging to food production) was associated with demographic growth. We used two methods (patterns of linkage disequilibrium from whole-genome SNPs and MSMC estimates on genomes) to reconstruct the demographic profiles for respectively 64 and 24 modern-day populations with contrasting lifestyles across the Old World (sub-Saharan Africa, south-eastern Asia, Siberia). Surprisingly, in all regions, food producers had larger effective population sizes (Ne) than foragers already 20 k years ago, well before the Neolithic revolution. As expected, this difference further increased ~12–10 k years ago, around or just before the onset of food production. Using paleoclimate reconstructions, we show that the early difference in Ne cannot be explained by food producers inhabiting more favorable regions. A number of mechanisms, including ancestral differences in census size, sedentism, exploitation of the natural resources, social stratification or connectivity between groups, might have led to the early differences in Ne detected in our analyses. Irrespective of the specific mechanisms involved, our results provide further evidence that long term cultural differences among populations of Palaeolithic hunter-gatherers are likely to have played an important role in the later Neolithization process.
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Affiliation(s)
- Michela Leonardi
- Department of Life Sciences and Biotechnology, University of Ferrara, Via Borsari 44, 44121, Ferrara, Italy. .,Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oester Voldgade 5-7, DK-1350, Copenhagen, Denmark.
| | - Guido Barbujani
- Department of Life Sciences and Biotechnology, University of Ferrara, Via Borsari 44, 44121, Ferrara, Italy
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing street, CB2 3EJ, Cambridge, UK
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44
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Kessler SE, Bonnell TR, Byrne RW, Chapman CA. Selection to outsmart the germs: The evolution of disease recognition and social cognition. J Hum Evol 2017. [PMID: 28622934 DOI: 10.1016/j.jhevol.2017.02.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The emergence of providing care to diseased conspecifics must have been a turning point during the evolution of hominin sociality. On a population level, care may have minimized the costs of socially transmitted diseases at a time of increasing social complexity, although individual care-givers probably incurred increased transmission risks. We propose that care-giving likely originated within kin networks, where the costs may have been balanced by fitness increases obtained through caring for ill kin. We test a novel hypothesis of hominin cognitive evolution in which disease may have selected for the cognitive ability to recognize when a conspecific is infected. Because diseases may produce symptoms that are likely detectable via the perceptual-cognitive pathways integral to social cognition, we suggest that disease recognition and social cognition may have evolved together. Using agent-based modeling, we test 1) under what conditions disease can select for increasing disease recognition and care-giving among kin, 2) whether providing care produces greater selection for cognition than an avoidance strategy, and 3) whether care-giving alters the progression of the disease through the population. The greatest selection was produced by diseases with lower risks to the care-giver and prevalences low enough not to disrupt the kin networks. When care-giving and avoidance strategies were compared, only care-giving reduced the severity of the disease outbreaks and subsequent population crashes. The greatest selection for increased cognitive abilities occurred early in the model runs when the outbreaks and population crashes were most severe. Therefore, over the course of human evolution, repeated introductions of novel diseases into naïve populations could have produced sustained selection for increased disease recognition and care-giving behavior, leading to the evolution of increased cognition, social complexity, and, eventually, medical care in humans. Finally, we lay out predictions derived from our disease recognition hypothesis that we encourage paleoanthropologists, bioarchaeologists, primatologists, and paleogeneticists to test.
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Affiliation(s)
- Sharon E Kessler
- Department of Anthropology, McGill University, Canada; Durham University, Department of Anthropology, UK.
| | | | - Richard W Byrne
- School of Psychology and Neuroscience, University of St. Andrews, UK
| | - Colin A Chapman
- Department of Anthropology, McGill University, Canada; Wildlife Conservation Society, New York, USA
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Creanza N, Kolodny O, Feldman MW. Greater than the sum of its parts? Modelling population contact and interaction of cultural repertoires. J R Soc Interface 2017; 14:20170171. [PMID: 28468920 PMCID: PMC5454306 DOI: 10.1098/rsif.2017.0171] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 04/06/2017] [Indexed: 11/12/2022] Open
Abstract
Evidence for interactions between populations plays a prominent role in the reconstruction of historical and prehistoric human dynamics; these interactions are usually interpreted to reflect cultural practices or demographic processes. The sharp increase in long-distance transportation of lithic material between the Middle and Upper Palaeolithic, for example, is seen as a manifestation of the cultural revolution that defined the transition between these epochs. Here, we propose that population interaction is not only a reflection of cultural change but also a potential driver of it. We explore the possible effects of inter-population migration on cultural evolution when migrating individuals possess core technological knowledge from their original population. Using a computational framework of cultural evolution that incorporates realistic aspects of human innovation processes, we show that migration can lead to a range of outcomes, including punctuated but transient increases in cultural complexity, an increase of cultural complexity to an elevated steady state and the emergence of a positive feedback loop that drives ongoing acceleration in cultural accumulation. Our findings suggest that population contact may have played a crucial role in the evolution of hominin cultures and propose explanations for observations of Palaeolithic cultural change whose interpretations have been hotly debated.
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Affiliation(s)
- Nicole Creanza
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235-1634, USA
| | - Oren Kolodny
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Marcus W Feldman
- Department of Biology, Stanford University, Stanford, CA 94305, USA
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46
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Origin and spread of human mitochondrial DNA haplogroup U7. Sci Rep 2017; 7:46044. [PMID: 28387361 PMCID: PMC5384202 DOI: 10.1038/srep46044] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 03/07/2017] [Indexed: 01/17/2023] Open
Abstract
Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and Europe and one that best indicates matrilineal genetic continuity between late Pleistocene hunter-gatherer groups and present-day populations of Europe. While most haplogroup U subclades are older than 30 thousand years, the comparatively recent coalescence time of the extant variation of haplogroup U7 (~16–19 thousand years ago) suggests that its current distribution is the consequence of more recent dispersal events, despite its wide geographical range across Europe, the Near East and South Asia. Here we report 267 new U7 mitogenomes that – analysed alongside 100 published ones – enable us to discern at least two distinct temporal phases of dispersal, both of which most likely emanated from the Near East. The earlier one began prior to the Holocene (~11.5 thousand years ago) towards South Asia, while the later dispersal took place more recently towards Mediterranean Europe during the Neolithic (~8 thousand years ago). These findings imply that the carriers of haplogroup U7 spread to South Asia and Europe before the suggested Bronze Age expansion of Indo-European languages from the Pontic-Caspian Steppe region.
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Accuracy of Demographic Inferences from the Site Frequency Spectrum: The Case of the Yoruba Population. Genetics 2017; 206:439-449. [PMID: 28341655 DOI: 10.1534/genetics.116.192708] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 03/23/2017] [Indexed: 01/23/2023] Open
Abstract
Some methods for demographic inference based on the observed genetic diversity of current populations rely on the use of summary statistics such as the Site Frequency Spectrum (SFS). Demographic models can be either model-constrained with numerous parameters, such as growth rates, timing of demographic events, and migration rates, or model-flexible, with an unbounded collection of piecewise constant sizes. It is still debated whether demographic histories can be accurately inferred based on the SFS. Here, we illustrate this theoretical issue on an example of demographic inference for an African population. The SFS of the Yoruba population (data from the 1000 Genomes Project) is fit to a simple model of population growth described with a single parameter (e.g., founding time). We infer a time to the most recent common ancestor of 1.7 million years (MY) for this population. However, we show that the Yoruba SFS is not informative enough to discriminate between several different models of growth. We also show that for such simple demographies, the fit of one-parameter models outperforms the stairway plot, a recently developed model-flexible method. The use of this method on simulated data suggests that it is biased by the noise intrinsically present in the data.
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Marrero P, Abu-Amero KK, Larruga JM, Cabrera VM. Carriers of human mitochondrial DNA macrohaplogroup M colonized India from southeastern Asia. BMC Evol Biol 2016; 16:246. [PMID: 27832758 PMCID: PMC5105315 DOI: 10.1186/s12862-016-0816-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 10/28/2016] [Indexed: 11/23/2022] Open
Abstract
Background From a mtDNA dominant perspective, the exit from Africa of modern humans to colonize Eurasia occurred once, around 60 kya, following a southern coastal route across Arabia and India to reach Australia short after. These pioneers carried with them the currently dominant Eurasian lineages M and N. Based also on mtDNA phylogenetic and phylogeographic grounds, some authors have proposed the coeval existence of a northern route across the Levant that brought mtDNA macrohaplogroup N to Australia. To contrast both hypothesis, here we reanalyzed the phylogeography and respective ages of mtDNA haplogroups belonging to macrohaplogroup M in different regions of Eurasia and Australasia. Results The macrohaplogroup M has a historical implantation in West Eurasia, including the Arabian Peninsula. Founder ages of M lineages in India are significantly younger than those in East Asia, Southeast Asia and Near Oceania. Moreover, there is a significant positive correlation between the age of the M haplogroups and its longitudinal geographical distribution. These results point to a colonization of the Indian subcontinent by modern humans carrying M lineages from the east instead the west side. Conclusions The existence of a northern route, previously proposed for the mtDNA macrohaplogroup N, is confirmed here for the macrohaplogroup M. Both mtDNA macrolineages seem to have differentiated in South East Asia from ancestral L3 lineages. Taking this genetic evidence and those reported by other disciplines we have constructed a new and more conciliatory model to explain the history of modern humans out of Africa. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0816-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Patricia Marrero
- School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, Norfolk, UK
| | - Khaled K Abu-Amero
- Glaucoma Research Chair, Department of ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Jose M Larruga
- Departamento de Genética, Facultad de Biología, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - Vicente M Cabrera
- Departamento de Genética, Facultad de Biología, Universidad de La Laguna, La Laguna, Tenerife, Spain.
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The Driving Forces of Cultural Complexity. HUMAN NATURE-AN INTERDISCIPLINARY BIOSOCIAL PERSPECTIVE 2016; 28:39-52. [DOI: 10.1007/s12110-016-9275-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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MtDNA analysis reveals enriched pathogenic mutations in Tibetan highlanders. Sci Rep 2016; 6:31083. [PMID: 27498855 PMCID: PMC4976311 DOI: 10.1038/srep31083] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 07/13/2016] [Indexed: 12/21/2022] Open
Abstract
Tibetan highlanders, including Tibetans, Monpas, Lhobas, Dengs and Sherpas, are considered highly adaptive to severe hypoxic environments. Mitochondrial DNA (mtDNA) might be important in hypoxia adaptation given its role in coding core subunits of oxidative phosphorylation. In this study, we employed 549 complete highlander mtDNA sequences (including 432 random samples) to obtain a comprehensive view of highlander mtDNA profile. In the phylogeny of a total of 36,914 sequences, we identified 21 major haplogroups representing founding events of highlanders, most of which were coalesced in 10 kya. Through founder analysis, we proposed a three-phase model of colonizing the plateau, i.e., pre-LGM Time (30 kya, 4.68%), post-LGM Paleolithic Time (16.8 kya, 29.31%) and Neolithic Time (after 8 kya, 66.01% in total). We observed that pathogenic mutations occurred far more frequently in 22 highlander-specific lineages (five lineages carrying two pathogenic mutations and six carrying one) than in the 6,857 haplogroups of all the 36,914 sequences (P = 4.87 × 10−8). Furthermore, the number of possible pathogenic mutations carried by highlanders (in average 3.18 ± 1.27) were significantly higher than that in controls (2.82 ± 1.40) (P = 1.89 × 10−4). Considering that function-altering and pathogenic mutations are enriched in highlanders, we therefore hypothesize that they may have played a role in hypoxia adaptation.
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