1
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Shamanskiy V, Mikhailova AA, Tretiakov EO, Ushakova K, Mikhailova AG, Oreshkov S, Knorre DA, Ree N, Overdevest JB, Lukowski SW, Gostimskaya I, Yurov V, Liou CW, Lin TK, Kunz WS, Reymond A, Mazunin I, Bazykin GA, Fellay J, Tanaka M, Khrapko K, Gunbin K, Popadin K. Secondary structure of the human mitochondrial genome affects formation of deletions. BMC Biol 2023; 21:103. [PMID: 37158879 PMCID: PMC10166460 DOI: 10.1186/s12915-023-01606-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 04/19/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Aging in postmitotic tissues is associated with clonal expansion of somatic mitochondrial deletions, the origin of which is not well understood. Such deletions are often flanked by direct nucleotide repeats, but this alone does not fully explain their distribution. Here, we hypothesized that the close proximity of direct repeats on single-stranded mitochondrial DNA (mtDNA) might play a role in the formation of deletions. RESULTS By analyzing human mtDNA deletions in the major arc of mtDNA, which is single-stranded during replication and is characterized by a high number of deletions, we found a non-uniform distribution with a "hot spot" where one deletion breakpoint occurred within the region of 6-9 kb and another within 13-16 kb of the mtDNA. This distribution was not explained by the presence of direct repeats, suggesting that other factors, such as the spatial proximity of these two regions, can be the cause. In silico analyses revealed that the single-stranded major arc may be organized as a large-scale hairpin-like loop with a center close to 11 kb and contacting regions between 6-9 kb and 13-16 kb, which would explain the high deletion activity in this contact zone. The direct repeats located within the contact zone, such as the well-known common repeat with a first arm at 8470-8482 bp (base pair) and a second arm at 13,447-13,459 bp, are three times more likely to cause deletions compared to direct repeats located outside of the contact zone. A comparison of age- and disease-associated deletions demonstrated that the contact zone plays a crucial role in explaining the age-associated deletions, emphasizing its importance in the rate of healthy aging. CONCLUSIONS Overall, we provide topological insights into the mechanism of age-associated deletion formation in human mtDNA, which could be used to predict somatic deletion burden and maximum lifespan in different human haplogroups and mammalian species.
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Affiliation(s)
- Victor Shamanskiy
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Alina A Mikhailova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Evgenii O Tretiakov
- Department of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Kristina Ushakova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Alina G Mikhailova
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Vavilov Institute of General Genetics RAS, Moscow, Russia
| | - Sergei Oreshkov
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Dmitry A Knorre
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Natalia Ree
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Jonathan B Overdevest
- Department of Otolaryngology, Columbia University Irving Medical Center, New York, USA
| | - Samuel W Lukowski
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia
| | - Irina Gostimskaya
- Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Valerian Yurov
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Chia-Wei Liou
- Department of Neurology, Kaohsiung Chang-Gung Memorial Hospital and Chang-Gung University, Kaohsiung, Taiwan
| | - Tsu-Kung Lin
- Department of Neurology, Kaohsiung Chang-Gung Memorial Hospital and Chang-Gung University, Kaohsiung, Taiwan
| | - Wolfram S Kunz
- Division of Neurochemistry, Department of Experimental Epileptology and Cognition Research, University Bonn, Bonn, Germany
- Department of Epileptology, University Hospital of Bonn, Bonn, Germany
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ilya Mazunin
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Georgii A Bazykin
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia
- Laboratory of Molecular Evolution, Institute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences, Moscow, Russia
| | - Jacques Fellay
- Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Masashi Tanaka
- Department for Health and Longevity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-Ku, Tokyo, 162-8636, Japan
- Department of Neurology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
- Department of Clinical Laboratory, IMS Miyoshi General Hospital, Fujikubo, Miyoshi-Machi, Iruma, Saitama Prefecture, 974-3354-0041, Japan
| | | | - Konstantin Gunbin
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Konstantin Popadin
- Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Russia.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
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2
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Yurchenko AA, Rajabi F, Braz-Petta T, Fassihi H, Lehmann A, Nishigori C, Wang J, Padioleau I, Gunbin K, Panunzi L, Morice-Picard F, Laplante P, Robert C, Kannouche PL, Menck CFM, Sarasin A, Nikolaev SI. Genomic mutation landscape of skin cancers from DNA repair-deficient xeroderma pigmentosum patients. Nat Commun 2023; 14:2561. [PMID: 37142601 PMCID: PMC10160032 DOI: 10.1038/s41467-023-38311-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/25/2023] [Indexed: 05/06/2023] Open
Abstract
Xeroderma pigmentosum (XP) is a genetic disorder caused by mutations in genes of the Nucleotide Excision Repair (NER) pathway (groups A-G) or in Translesion Synthesis DNA polymerase η (V). XP is associated with an increased skin cancer risk, reaching, for some groups, several thousand-fold compared to the general population. Here, we analyze 38 skin cancer genomes from five XP groups. We find that the activity of NER determines heterogeneity of the mutation rates across skin cancer genomes and that transcription-coupled NER extends beyond the gene boundaries reducing the intergenic mutation rate. Mutational profile in XP-V tumors and experiments with POLH knockout cell line reveal the role of polymerase η in the error-free bypass of (i) rare TpG and TpA DNA lesions, (ii) 3' nucleotides in pyrimidine dimers, and (iii) TpT photodimers. Our study unravels the genetic basis of skin cancer risk in XP and provides insights into the mechanisms reducing UV-induced mutagenesis in the general population.
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Affiliation(s)
- Andrey A Yurchenko
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Fatemeh Rajabi
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Tirzah Braz-Petta
- Departamento de Biologia Celular e Genética, Universidade Federal do Rio Grande do Norte, Av. Senador Salgado Filho, s/n, Natal, 59078-970, Brazil
| | - Hiva Fassihi
- National Xeroderma Pigmentosum Service, Department of Photodermatology, St John's Institute of Dermatology, Guy's and St Thomas' Foundation Trust, London, SE1 7EH, UK
| | - Alan Lehmann
- National Xeroderma Pigmentosum Service, Department of Photodermatology, St John's Institute of Dermatology, Guy's and St Thomas' Foundation Trust, London, SE1 7EH, UK
- Genome Damage and Stability Centre, University of Sussex, Falmer, Brighton, BN1 9RQ, UK
| | - Chikako Nishigori
- Division of Dermatology, Department of Internal Related, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Jinxin Wang
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Ismael Padioleau
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Konstantin Gunbin
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Leonardo Panunzi
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | | | - Pierre Laplante
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - Caroline Robert
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
- Department of Medical Oncology, Gustave Roussy and Paris-Saclay University, Villejuif, France
| | - Patricia L Kannouche
- CNRS UMR9019 Genome Integrity and Cancers, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Carlos F M Menck
- Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Alain Sarasin
- CNRS UMR9019 Genome Integrity and Cancers, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Sergey I Nikolaev
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France.
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3
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Pradat Y, Viot J, Yurchenko AA, Gunbin K, Cerbone L, Deloger M, Grisay G, Verlingue L, Scott V, Padioleau I, Panunzi L, Michiels S, Hollebecque A, Jules-Clement G, Mezquita L, Laine A, Loriot Y, Besse B, Friboulet L, Andre F, Cournede PH, Gautheret D, Nikolaev SI. Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer. Cancer Discov 2023; 13:1116-1143. [PMID: 36862804 PMCID: PMC10157368 DOI: 10.1158/2159-8290.cd-22-0966] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/02/2023] [Accepted: 02/27/2023] [Indexed: 03/04/2023]
Abstract
Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared to primary untreated tumors. Standard-of-care resistance biomarkers were identified only in lung and colon cancers - 9.6% of META-PRISM tumors, indicating that too few resistance mechanisms have received clinical validation. In contrast, we verified the enrichment of multiple investigational and hypothetical resistance mechanisms in treated compared to non-treated patients, thereby confirming their putative role in treatment resistance. Additionally, we demonstrated that molecular markers improve six-month survival prediction, particularly in patients with advanced breast cancer. Our analysis establishes the utility of META-PRISM cohort for investigating resistance mechanisms and performing predictive analyses in cancer.
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Affiliation(s)
| | - Julien Viot
- University Hospital of Besançon, Besancon, France
| | | | | | - Luigi Cerbone
- Institut Gustave Roussy, Villejuif, Ile de France, France
| | | | | | | | | | | | | | | | | | | | - Laura Mezquita
- Gustave RouHospital Clinic - August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain, Barcelona (Spain), Spain
| | | | | | | | - Luc Friboulet
- Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
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4
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Pradat Y, Viot J, Gunbin K, Iurchenko A, Deloger M, Cerbone L, Grisay G, Verlingue L, Scott V, Michiels S, Hollebecque A, Jules-Clement G, Laine A, Friboulet L, Mezquita L, Loriot Y, Besse B, Andre F, Cournede PH, Gautheret D, Nikolaev S. Abstract PR009: Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.metastasis22-pr009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Abstract
Metastatic relapse after treatment is the primary cause of cancer morbidity and mortality. While genetic mechanisms of primary tumors and, to a lesser extent, metastatic cancers have been studied in large cohorts, refractory metastatic tumors are not yet sufficiently characterized. Markers of aggressiveness and resistance that molecular profiling can extract from these tumors have yet to be identified and incorporated into clinical care. In this study, we present a pan-cancer cohort of 1,031 metastatic tumors (which we refer to as META-PRISM) that are resistant to at least one systemic therapy or with no approved treatment options. We retrieved the complete clinical history of patients and performed whole-exome (n=571) and transcriptome sequencing (n=947) for this cohort. The prevalence of detected cancer biomarkers was assessed and compared to an external cohort of primary tumors. In the META-PRISM cohort, we observed an increase in (i) whole-genome duplication frequency, (ii) tumor mutational burden, (iii) germline cancer-predisposing variants, and (iv) somatic alterations in cancer genes, including KRAS, EGFR, CCND1, MYC, and TP53, as compared to the tumor type-matched primary tumors. The most extensive increase in genomic variation at metastatic stage was observed in prostate cancer. We also identified enrichment of standard-of-care resistance biomarkers in most cancer types. However, only 7.6% of tumors harbored at least one such biomarker, indicating that the current understanding of resistance mechanisms remains insufficient. Our cohort demonstrated a significantly improved 6-month survival prediction from models incorporating molecular markers over models with only clinical markers for breast cancer patients and to a lesser extent for other studied tumor types. Overall, our data establish a unique resource for investigating treatment resistance mechanisms and performing predictive analyses in cancer.
Citation Format: Yoann Pradat, Julien Viot, Konstantin Gunbin, Andrei Iurchenko, Marc Deloger, Luigi Cerbone, Guillaume Grisay, Loic Verlingue, Veronique Scott, Stefan Michiels, Antoine Hollebecque, Gerome Jules-Clement, Antoine Laine, Luc Friboulet, Laura Mezquita, Yohann Loriot, Benjamin Besse, Fabrice Andre, Paul-Henry Cournede, Daniel Gautheret, Sergey Nikolaev. Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr PR009.
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Affiliation(s)
- Yoann Pradat
- 1Laboratory of Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, Villejuif, France,
| | - Julien Viot
- 2Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Konstantin Gunbin
- 3INSERM U981, Gustave Roussy Cancer Campus, Universite Paris Saclay, Villejuif, France,
| | - Andrei Iurchenko
- 4INSERM U981, Gustave Roussy Cancer Campus, Universite Paris Saclay, Villejuif, France,
| | - Marc Deloger
- 5Bioinformatics Core Facility, Gustave Roussy, Villejuif, France,
| | - Luigi Cerbone
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Guillaume Grisay
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Loic Verlingue
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Veronique Scott
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Stefan Michiels
- 7Biostatistics and Epidemiology Department, Gustave Roussy, Oncostat U1018 INSERM, Univ. Paris-Saclay, labeled Ligue Contre le Cancer, Villejuif, France,
| | | | | | | | - Luc Friboulet
- 3INSERM U981, Gustave Roussy Cancer Campus, Universite Paris Saclay, Villejuif, France,
| | - Laura Mezquita
- 9Medical Oncology Department, Hospital Clinic, Barcelona, Spain,
| | - Yohann Loriot
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Benjamin Besse
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Fabrice Andre
- 6Department of Medical Oncology, Gustave Roussy, Villejuif, France,
| | - Paul-Henry Cournede
- 10Laboratory of Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, Paris, France,
| | | | - Sergey Nikolaev
- 3INSERM U981, Gustave Roussy Cancer Campus, Universite Paris Saclay, Villejuif, France,
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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6
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Popadin K, Gunbin K, Peshkin L, Annis S, Fleischmann Z, Franco M, Kraytsberg Y, Markuzon N, Ackermann RR, Khrapko K. Mitochondrial Pseudogenes Suggest Repeated Inter-Species Hybridization among Direct Human Ancestors. Genes (Basel) 2022; 13:810. [PMID: 35627195 PMCID: PMC9140377 DOI: 10.3390/genes13050810] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 12/02/2022] Open
Abstract
The hypothesis that the evolution of humans involves hybridization between diverged species has been actively debated in recent years. We present the following novel evidence in support of this hypothesis: the analysis of nuclear pseudogenes of mtDNA ("NUMTs"). NUMTs are considered "mtDNA fossils" as they preserve sequences of ancient mtDNA and thus carry unique information about ancestral populations. Our comparison of a NUMT sequence shared by humans, chimpanzees, and gorillas with their mtDNAs implies that, around the time of divergence between humans and chimpanzees, our evolutionary history involved the interbreeding of individuals whose mtDNA had diverged as much as ~4.5 Myr prior. This large divergence suggests a distant interspecies hybridization. Additionally, analysis of two other NUMTs suggests that such events occur repeatedly. Our findings suggest a complex pattern of speciation in primate/human ancestors and provide one potential explanation for the mosaic nature of fossil morphology found at the emergence of the hominin lineage. A preliminary version of this manuscript was uploaded to the preprint server BioRxiv in 2017 (10.1101/134502).
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Affiliation(s)
- Konstantin Popadin
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland;
- Center for Mitochondrial Functional Genomics, Institute of Living Systems, Immanuel Kant Baltic Federal University, 236040 Kaliningrad, Russia
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | | | - Leonid Peshkin
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA;
| | - Sofia Annis
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | - Zoe Fleischmann
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | - Melissa Franco
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | | | | | - Rebecca R. Ackermann
- Human Evolution Research Institute, Department of Archaeology, University of Cape Town, Cape Town 7700, South Africa;
| | - Konstantin Khrapko
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
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7
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Gunbin K, Peshkin L, Popadin K, Annis S, Ackermann RR, Khrapko K. Data on the time of integration of the human mitochondrial pseudogenes (NUMTs) into the nuclear genome. Data Brief 2017; 13:536-544. [PMID: 28702491 PMCID: PMC5491396 DOI: 10.1016/j.dib.2017.05.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/01/2017] [Accepted: 05/09/2017] [Indexed: 11/29/2022] Open
Abstract
The data and methods presented in this article are supplementing the research article "Integration of mtDNA pseudogenes into the nuclear genome coincides with speciation of the human genus. A hypothesis", DOI: 10.1016/j.mito.2016.12.001 (Gunbin et al., 2017) [1]. Mitochondrial DNA is known to get inserted into nuclear DNA to form NUMTs, i.e. nuclear DNA pseudogenes of the mtDNA. We present here the sequences of selected NUMTs, in which time of integration can be determined with sufficient precision. We report their chromosomal positions , their position within the great ape mtDNA phylogeny, and their times of integration into the nuclear genome. The methods used to generate the data and to control their quality are also presented. The dataset is made publicly available to enable critical or extended analyzes.
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Affiliation(s)
- Konstantin Gunbin
- Institute of Cytology and Genetics SB RAS and Novosibirsk State University, Russia
| | | | | | | | - Rebecca R. Ackermann
- Department of Archaeology & Human Evolution Research Institute, University of Cape Town, South Africa
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Orlov Y, Xu H, Afonnikov D, Lim B, Heng JC, Yuan P, Chen M, Yan J, Clarke N, Orlova N, Huss M, Gunbin K, Podkolodnyy N, Ng HH. Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell. J Integr Bioinform 2012. [DOI: 10.1515/jib-2012-211] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Summary Advances in high throughput sequencing technology have enabled the identification of transcription factor (TF) binding sites in genome scale. TF binding studies are important for medical applications and stem cell research. Somatic cells can be reprogrammed to a pluripotent state by the combined introduction of factors such as Oct4, Sox2, c-Myc, Klf4. These reprogrammed cells share many characteristics with embryonic stem cells (ESCs) and are known as induced pluripotent stem cells (iPSCs). The signaling requirements for maintenance of human and murine embryonic stem cells (ESCs) differ considerably. Genome wide ChIP-seq TF binding maps in mouse stem cells include Oct4, Sox2, Nanog, Tbx3, Smad2 as well as group of other factors. ChIP-seq allows study of new candidate transcription factors for reprogramming. It was shown that Nr5a2 could replace Oct4 for reprogramming. Epigenetic modifications play important role in regulation of gene expression adding additional complexity to transcription network functioning. We have studied associations between different histone modification using published data together with RNA Pol II sites. We found strong associations between activation marks and TF binding sites and present it qualitatively. To meet issues of statistical analysis of genome ChIP-sequencing maps we developed computer program to filter out noise signals and find significant association between binding site affinity and number of sequence reads. The data provide new insights into the function of chromatin organization and regulation in stem cells.
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Affiliation(s)
- Yuriy Orlov
- 1Genome Institute of Singapore, Singapore 138672, Singapore Russian Federation
- 2Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia Russian Federation
- 3Novosibirsk State University, Novosibirsk, Russian Federation
| | - Han Xu
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | - Dmitri Afonnikov
- 1Genome Institute of Singapore, Singapore 138672, Singapore Russian Federation
- 3Novosibirsk State University, Novosibirsk, Russian Federation
| | - Bing Lim
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | | | - Ping Yuan
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | - Ming Chen
- 5Zhejiang University, Hangzhou, China
| | - Junli Yan
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | - Neil Clarke
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | - Nina Orlova
- 6Siberian University of Consumer Cooperatives, Novosibirsk, Russian Federation
| | - Mikael Huss
- 4Genome Institute of Singapore, Singapore 138672, Singapore
| | | | - Nikolay Podkolodnyy
- 2Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia Russian Federation
- 3Novosibirsk State University, Novosibirsk, Russian Federation
| | - Huck-Hui Ng
- 4Genome Institute of Singapore, Singapore 138672, Singapore
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Popadin K, Polishchuk LV, Mamirova L, Knorre D, Gunbin K. Accumulation of slightly deleterious mutations in mitochondrial protein-coding genes of large versus small mammals. Proc Natl Acad Sci U S A 2007; 104:13390-5. [PMID: 17679693 PMCID: PMC1948928 DOI: 10.1073/pnas.0701256104] [Citation(s) in RCA: 141] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2007] [Indexed: 11/18/2022] Open
Abstract
After the effective size of a population, N(e), declines, some slightly deleterious amino acid replacements which were initially suppressed by purifying selection become effectively neutral and can reach fixation. Here we investigate this phenomenon for a set of all 13 mitochondrial protein-coding genes from 110 mammalian species. By using body mass as a proxy for N(e), we show that large mammals (i.e., those with low N(e)) as compared with small ones (in our sample these are, on average, 369.5 kg and 275 g, respectively) have a 43% higher rate of accumulation of nonsynonymous nucleotide substitutions relative to synonymous substitutions, and an 8-40% higher rate of accumulation of radical amino acid substitutions relative to conservative substitutions, depending on the type of amino acid classification. These higher rates result in a 6% greater amino acid dissimilarity between modern species and their most recent reconstructed ancestors in large versus small mammals. Because nonsynonymous substitutions are likely to be more harmful than synonymous substitutions, and radical amino acid substitutions are likely to be more harmful than conservative ones, our results suggest that large mammals experience less efficient purifying selection than small mammals. Furthermore, because in the course of mammalian evolution body size tends to increase and, consequently, N(e) tends to decline, evolution of mammals toward large body size may involve accumulation of slightly deleterious mutations in mitochondrial protein-coding genes, which may contribute to decline or extinction of large mammals.
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Affiliation(s)
| | - Leonard V. Polishchuk
- General Ecology, Biological Faculty of M.V. Lomonosov Moscow State University, Vorobyevy Gory 1-12, Moscow 119992, Russia
| | - Leila Mamirova
- Institute for Information Transmission Problems RAS, Bolshoi Karetny pereulok 19, Moscow 127994, Russia
| | - Dmitry Knorre
- A.N. Belozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Building A, Moscow 119899, Russia; and
| | - Konstantin Gunbin
- **Institute of Cytology and Genetics SB RAS, Lavrentiev aven. 10, Novosibirsk 630090, Russia
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