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Hu L, Long J, Lin Y, Gu Z, Su H, Dong X, Lin Z, Xiao Q, Batbayar N, Bold B, Deutschová L, Ganusevich S, Sokolov V, Sokolov A, Patel HR, Waters PD, Graves JAM, Dixon A, Pan S, Zhan X. Arctic introgression and chromatin regulation facilitated rapid Qinghai-Tibet Plateau colonization by an avian predator. Nat Commun 2022; 13:6413. [PMID: 36302769 PMCID: PMC9613686 DOI: 10.1038/s41467-022-34138-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 10/14/2022] [Indexed: 12/25/2022] Open
Abstract
The Qinghai-Tibet Plateau (QTP), possesses a climate as cold as that of the Arctic, and also presents uniquely low oxygen concentrations and intense ultraviolet (UV) radiation. QTP animals have adapted to these extreme conditions, but whether they obtained genetic variations from the Arctic during cold adaptation, and how genomic mutations in non-coding regions regulate gene expression under hypoxia and intense UV environment, remain largely unknown. Here, we assemble a high-quality saker falcon genome and resequence populations across Eurasia. We identify female-biased hybridization with Arctic gyrfalcons in the last glacial maximum, that endowed eastern sakers with alleles conveying larger body size and changes in fat metabolism, predisposing their QTP cold adaptation. We discover that QTP hypoxia and UV adaptations mainly involve independent changes in non-coding genomic variants. Our study highlights key roles of gene flow from Arctic relatives during QTP hypothermia adaptation, and cis-regulatory elements during hypoxic response and UV protection.
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Affiliation(s)
- Li Hu
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Juan Long
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Yi Lin
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Zhongru Gu
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Han Su
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Xuemin Dong
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China
| | - Zhenzhen Lin
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Qian Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,grid.20513.350000 0004 1789 9964Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, 100875 Beijing, China
| | - Nyambayar Batbayar
- Wildlife Science and Conservation Center, Union Building B-802, Ulaanbaatar, 14210 Mongolia
| | - Batbayar Bold
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,Wildlife Science and Conservation Center, Union Building B-802, Ulaanbaatar, 14210 Mongolia
| | - Lucia Deutschová
- grid.455051.0Raptor Protection of Slovakia, Trhová 54, SK-841 01, Bratislava, Slovakia
| | - Sergey Ganusevich
- Wild Animal Rescue Centre, Krasnostudencheskiy pr., 21-45, Moscow, 125422 Russia
| | - Vasiliy Sokolov
- grid.426536.00000 0004 1760 306XInstitute of Plant and Animal Ecology, Ural Division Russian Academy of Sciences, 202-8 Marta Street, Ekaterinburg, 620144 Russia
| | - Aleksandr Sokolov
- Arctic Research Station of the Institute of Plant and Animal Ecology, Ural Division Russian Academy of Sciences, 21 Zelenaya Gorka, Labytnangi, Yamalo-Nenetski District 629400 Russia
| | - Hardip R. Patel
- grid.1001.00000 0001 2180 7477The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601 Australia
| | - Paul D. Waters
- grid.1005.40000 0004 4902 0432School of Biotechnology and Biomolecular Science, Faculty of Science, UNSW Sydney, Sydney, NSW 2052 Australia
| | | | - Andrew Dixon
- Emirates Falconers’ Club, Al Mamoura Building (A), P.O. Box 47716, Muroor Road, Abu Dhabi, UAE ,grid.511767.30000 0004 5895 0922International Wildlife Consultants, P.O. Box 19, Carmarthen, SA33 5YL UK
| | - Shengkai Pan
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China
| | - Xiangjiang Zhan
- grid.9227.e0000000119573309Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China ,grid.9227.e0000000119573309Cardiff University - Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, 100101 Beijing, China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, 100049 Beijing, China ,grid.9227.e0000000119573309Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223 China
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Laiker I, Frankel N. Pleiotropic enhancers are ubiquitous regulatory elements in the human genome. Genome Biol Evol 2022; 14:6585219. [PMID: 35552697 PMCID: PMC9156028 DOI: 10.1093/gbe/evac071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Enhancers are regulatory elements of genomes that determine spatio-temporal patterns of gene expression. The human genome contains a vast number of enhancers, which largely outnumber protein-coding genes. Historically, enhancers have been regarded as highly tissue-specific. However, recent evidence has demonstrated that many enhancers are pleiotropic, with activity in multiple developmental contexts. Yet, the extent and impact of pleiotropy remain largely unexplored. In this study we analyzed active enhancers across human organs based on the analysis of both eRNA transcription (FANTOM5 consortium data sets) and chromatin architecture (ENCODE consortium data sets). We show that pleiotropic enhancers are pervasive in the human genome and that most enhancers active in a particular organ are also active in other organs. In addition, our analysis suggests that the proportion of context-specific enhancers of a given organ is explained, at least in part, by the proportion of context-specific genes in that same organ. The notion that such a high proportion of human enhancers can be pleiotropic suggests that small regions of regulatory DNA contain abundant regulatory information and that these regions evolve under important evolutionary constraints.
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Affiliation(s)
- Ian Laiker
- Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad de Buenos Aires (UBA), Buenos Aires 1428, Argentina
| | - Nicolas Frankel
- Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad de Buenos Aires (UBA), Buenos Aires 1428, Argentina.,Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales (FCEN), Universidad de Buenos Aires (UBA), Buenos Aires 1428, Argentina
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Schweizer G, Wagner A. Both Binding Strength and Evolutionary Accessibility Affect the Population Frequency of Transcription Factor Binding Sequences in Arabidopsis thaliana. Genome Biol Evol 2021; 13:6459646. [PMID: 34894231 PMCID: PMC8712246 DOI: 10.1093/gbe/evab273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2021] [Indexed: 11/22/2022] Open
Abstract
Mutations in DNA sequences that bind transcription factors and thus modulate gene expression are a source of adaptive variation in gene expression. To understand how transcription factor binding sequences evolve in natural populations of the thale cress Arabidopsis thaliana, we integrated genomic polymorphism data for loci bound by transcription factors with in vitro data on binding affinity for these transcription factors. Specifically, we studied 19 different transcription factors, and the allele frequencies of 8,333 genomic loci bound in vivo by these transcription factors in 1,135 A. thaliana accessions. We find that transcription factor binding sequences show very low genetic diversity, suggesting that they are subject to purifying selection. High frequency alleles of such binding sequences tend to bind transcription factors strongly. Conversely, alleles that are absent from the population tend to bind them weakly. In addition, alleles with high frequencies also tend to be the endpoints of many accessible evolutionary paths leading to these alleles. We show that both high affinity and high evolutionary accessibility contribute to high allele frequency for at least some transcription factors. Although binding sequences with stronger affinity are more frequent, we did not find them to be associated with higher gene expression levels. Epistatic interactions among individual mutations that alter binding affinity are pervasive and can help explain variation in accessibility among binding sequences. In summary, combining in vitro binding affinity data with in vivo binding sequence data can help understand the forces that affect the evolution of transcription factor binding sequences in natural populations.
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Affiliation(s)
- Gabriel Schweizer
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Switzerland.,Swiss Institute of Bioinformatics, Quartier Sorge-Batiment Genopode, Lausanne, Switzerland
| | - Andreas Wagner
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Switzerland.,Swiss Institute of Bioinformatics, Quartier Sorge-Batiment Genopode, Lausanne, Switzerland.,Santa Fe Institute, Santa Fe, New Mexico, USA.,Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, South Africa
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