51
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Mitochondrial Genome (mtDNA) Mutations that Generate Reactive Oxygen Species. Antioxidants (Basel) 2019; 8:antiox8090392. [PMID: 31514455 PMCID: PMC6769445 DOI: 10.3390/antiox8090392] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 09/09/2019] [Accepted: 09/09/2019] [Indexed: 01/07/2023] Open
Abstract
Mitochondria are critical for the energetic demands of virtually every cellular process within nucleated eukaryotic cells. They harbour multiple copies of their own genome (mtDNA), as well as the protein-synthesing systems required for the translation of vital subunits of the oxidative phosphorylation machinery used to generate adenosine triphosphate (ATP). Molecular lesions to the mtDNA cause severe metabolic diseases and have been proposed to contribute to the progressive nature of common age-related diseases such as cancer, cardiomyopathy, diabetes, and neurodegenerative disorders. As a consequence of playing a central role in cellular energy metabolism, mitochondria produce reactive oxygen species (ROS) as a by-product of respiration. Here we review the evidence that mutations in the mtDNA exacerbate ROS production, contributing to disease.
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52
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Khani-Juyabad F, Mohammadi P, Zarrabi M. Comparative analysis of Chlorosarcinopsis eremi mitochondrial genome with some Chlamydomonadales algae. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2019; 25:1301-1310. [PMID: 31564790 PMCID: PMC6745591 DOI: 10.1007/s12298-019-00696-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 06/07/2019] [Accepted: 07/29/2019] [Indexed: 06/10/2023]
Abstract
Chlorosarcinopsis eremi is a member of Chlamydomonadales algae which is isolated from terrestrial environments. In this study, the mitochondrial genome of C. eremi isolated from desert region of Iran, was represented for the first time. Following sequencing, assembly and annotation, comparative analyses of C. eremi and other available Chlamydomonadales algae complete mitochondrial genomes were performed. The mitochondrial genome of C. eremi was circular, had a low number of genes coding in the same strand with a minor amount of repeated sequences; same as other non-Reinhardtinia species of Chlamydomonadales algae. GC content of C. eremi mitochondrial genome was in normal range when compared with non-Chlamydomonadales organisms, but among Chlamydomonadales algae, C. eremi had a low GC content mitochondrial genome. C. eremi had the highest percent of non-coding sequences in comparison with other available Chlamydomonadales mitochondrial genomes which was related to intergenic regions. Identity analysis of protein-coding sequences of Chlamydomonadales mitochondrial genomes showed more divergences and may be related to the high mutation rate of mitochondrial genome reported in microbial eukaryotes.
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Affiliation(s)
- Fatemeh Khani-Juyabad
- Department of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran
| | - Parisa Mohammadi
- Department of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran
| | - Mahbubeh Zarrabi
- Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran
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53
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Johri P, Marinov GK, Doak TG, Lynch M. Population Genetics of Paramecium Mitochondrial Genomes: Recombination, Mutation Spectrum, and Efficacy of Selection. Genome Biol Evol 2019; 11:1398-1416. [PMID: 30980669 PMCID: PMC6505448 DOI: 10.1093/gbe/evz081] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2019] [Indexed: 12/11/2022] Open
Abstract
The evolution of mitochondrial genomes and their population-genetic environment among unicellular eukaryotes are understudied. Ciliate mitochondrial genomes exhibit a unique combination of characteristics, including a linear organization and the presence of multiple genes with no known function or detectable homologs in other eukaryotes. Here we study the variation of ciliate mitochondrial genomes both within and across 13 highly diverged Paramecium species, including multiple species from the P. aurelia species complex, with four outgroup species: P. caudatum, P. multimicronucleatum, and two strains that may represent novel related species. We observe extraordinary conservation of gene order and protein-coding content in Paramecium mitochondria across species. In contrast, significant differences are observed in tRNA content and copy number, which is highly conserved in species belonging to the P. aurelia complex but variable among and even within the other Paramecium species. There is an increase in GC content from ∼20% to ∼40% on the branch leading to the P. aurelia complex. Patterns of polymorphism in population-genomic data and mutation-accumulation experiments suggest that the increase in GC content is primarily due to changes in the mutation spectra in the P. aurelia species. Finally, we find no evidence of recombination in Paramecium mitochondria and find that the mitochondrial genome appears to experience either similar or stronger efficacy of purifying selection than the nucleus.
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Affiliation(s)
- Parul Johri
- Department of Biology, Indiana University, Bloomington
| | - Georgi K Marinov
- Department of Biology, Indiana University, Bloomington.,Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Thomas G Doak
- Department of Biology, Indiana University, Bloomington.,National Center for Genome Analysis Support, Indiana University, Bloomington
| | - Michael Lynch
- Department of Biology, Indiana University, Bloomington.,Center for Mechanisms of Evolution, School of Life Sciences, Arizona State University, Tempe
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54
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Morgan-Richards M, Langton-Myers SS, Trewick SA. Loss and gain of sexual reproduction in the same stick insect. Mol Ecol 2019; 28:3929-3941. [PMID: 31386772 PMCID: PMC6852293 DOI: 10.1111/mec.15203] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 06/17/2019] [Accepted: 07/30/2019] [Indexed: 01/10/2023]
Abstract
The outcome of competition between different reproductive strategies within a single species can be used to infer selective advantage of the winning strategy. Where multiple populations have independently lost or gained sexual reproduction it is possible to investigate whether the advantage is contingent on local conditions. In the New Zealand stick insect Clitarchus hookeri, three populations are distinguished by recent change in reproductive strategy and we determine their likely origins. One parthenogenetic population has established in the United Kingdom and we provide evidence that sexual reproduction has been lost in this population. We identify the sexual population from which the parthenogenetic population was derived, but show that the UK females have a post‐mating barrier to fertilisation. We also demonstrate that two sexual populations have recently arisen in New Zealand within the natural range of the mtDNA lineage that otherwise characterizes parthenogenesis in this species. We infer independent origins of males at these two locations using microsatellite genotypes. In one population, a mixture of local and nonlocal alleles suggested males were the result of invasion. Males in another population were most probably the result of loss of an X chromosome that produced a male phenotype in situ. Two successful switches in reproductive strategy suggest local competitive advantage for outcrossing over parthenogenetic reproduction. Clitarchus hookeri provides remarkable evidence of repeated and rapid changes in reproductive strategy, with competitive outcomes dependent on local conditions.
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Affiliation(s)
| | | | - Steven A Trewick
- Wildlife & Ecology, Massey University, Palmerston North, New Zealand
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55
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Andreazza S, Samstag CL, Sanchez-Martinez A, Fernandez-Vizarra E, Gomez-Duran A, Lee JJ, Tufi R, Hipp MJ, Schmidt EK, Nicholls TJ, Gammage PA, Chinnery PF, Minczuk M, Pallanck LJ, Kennedy SR, Whitworth AJ. Mitochondrially-targeted APOBEC1 is a potent mtDNA mutator affecting mitochondrial function and organismal fitness in Drosophila. Nat Commun 2019; 10:3280. [PMID: 31337756 PMCID: PMC6650417 DOI: 10.1038/s41467-019-10857-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 06/06/2019] [Indexed: 12/22/2022] Open
Abstract
Somatic mutations in the mitochondrial genome (mtDNA) have been linked to multiple disease conditions and to ageing itself. In Drosophila, knock-in of a proofreading deficient mtDNA polymerase (POLG) generates high levels of somatic point mutations and also small indels, but surprisingly limited impact on organismal longevity or fitness. Here we describe a new mtDNA mutator model based on a mitochondrially-targeted cytidine deaminase, APOBEC1. mito-APOBEC1 acts as a potent mutagen which exclusively induces C:G>T:A transitions with no indels or mtDNA depletion. In these flies, the presence of multiple non-synonymous substitutions, even at modest heteroplasmy, disrupts mitochondrial function and dramatically impacts organismal fitness. A detailed analysis of the mutation profile in the POLG and mito-APOBEC1 models reveals that mutation type (quality) rather than quantity is a critical factor in impacting organismal fitness. The specificity for transition mutations and the severe phenotypes make mito-APOBEC1 an excellent mtDNA mutator model for ageing research.
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Affiliation(s)
- Simonetta Andreazza
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Colby L Samstag
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Alvaro Sanchez-Martinez
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Erika Fernandez-Vizarra
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Aurora Gomez-Duran
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Juliette J Lee
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Roberta Tufi
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Michael J Hipp
- Department of Pathology, University of Washington, Seattle, WA, 98195, USA
| | | | - Thomas J Nicholls
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Payam A Gammage
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Patrick F Chinnery
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
- Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Michal Minczuk
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - Leo J Pallanck
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Scott R Kennedy
- Department of Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Alexander J Whitworth
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK.
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56
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Mitochondrial Dysfunctions: A Thread Sewing Together Alzheimer's Disease, Diabetes, and Obesity. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:7210892. [PMID: 31316720 PMCID: PMC6604285 DOI: 10.1155/2019/7210892] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/20/2019] [Accepted: 05/21/2019] [Indexed: 02/03/2023]
Abstract
Metabolic disorders are severe and chronic impairments of the health of many people and represent a challenge for the society as a whole that has to deal with an ever-increasing number of affected individuals. Among common metabolic disorders are Alzheimer's disease, obesity, and type 2 diabetes. These disorders do not have a univocal genetic cause but rather can result from the interaction of multiple genes, lifestyle, and environmental factors. Mitochondrial alterations have emerged as a feature common to all these disorders, underlining perhaps an impaired coordination between cellular needs and mitochondrial responses that could contribute to their development and/or progression.
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57
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Mosquera S, Chen LH, Aegerter B, Miyao E, Salvucci A, Chang TC, Epstein L, Stergiopoulos I. Cloning of the Cytochrome b Gene From the Tomato Powdery Mildew Fungus Leveillula taurica Reveals High Levels of Allelic Variation and Heteroplasmy for the G143A Mutation. Front Microbiol 2019; 10:663. [PMID: 31024474 PMCID: PMC6467933 DOI: 10.3389/fmicb.2019.00663] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 03/18/2019] [Indexed: 11/13/2022] Open
Abstract
Leveillula taurica is a major pathogen of tomato and several other crops that can cause substantial yield losses in favorable conditions for the fungus. Quinone outside inhibitor fungicides (QoIs) are routinely used for the control of the pathogen in tomato fields across California, but their recurrent use could lead to the emergence of resistance against these compounds. Here, we partially cloned the cytochrome b gene from L. taurica (Lt cytb) and searched within populations of the fungus collected from tomato fields across California for mutations that confer resistance to QoIs. A total of 21 single nucleotide polymorphisms (SNPs) were identified within a 704 bp fragment of the Lt cytb gene analyzed, of which five were non-synonymous substitutions. Among the most frequent SNPs encountered within field populations of the pathogen was the G143A substitution that confers high levels of resistance against QoIs in several fungi. The other four amino acid substitutions were novel mutations, whose effect on QoI resistance is currently unknown. Sequencing of the Lt cytb gene from individual single-cell conidia of the fungus further revealed that most SNPs, including the one leading to the G143A substitution, were present in a heteroplasmic state, indicating the co-existence of multiple mitotypes in single cells. Analysis of the field samples showed that the G143A substitution is predominantly heteroplasmic also within field populations of L. taurica in California, suggesting that QoI resistance in this fungus is likely to be quantitative rather than qualitative.
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Affiliation(s)
- Sandra Mosquera
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Li-Hung Chen
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Brenna Aegerter
- University of California Cooperative Extension, Stockton, CA, United States
| | - Eugene Miyao
- University of California Cooperative Extension, Woodland, CA, United States
| | - Anthony Salvucci
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Ti-Cheng Chang
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Lynn Epstein
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Ioannis Stergiopoulos
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
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58
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Dhar R, Missarova AM, Lehner B, Carey LB. Single cell functional genomics reveals the importance of mitochondria in cell-to-cell phenotypic variation. eLife 2019; 8:38904. [PMID: 30638445 PMCID: PMC6366901 DOI: 10.7554/elife.38904] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 01/13/2019] [Indexed: 12/12/2022] Open
Abstract
Mutations frequently have outcomes that differ across individuals, even when these individuals are genetically identical and share a common environment. Moreover, individual microbial and mammalian cells can vary substantially in their proliferation rates, stress tolerance, and drug resistance, with important implications for the treatment of infections and cancer. To investigate the causes of cell-to-cell variation in proliferation, we used a high-throughput automated microscopy assay to quantify the impact of deleting >1500 genes in yeast. Mutations affecting mitochondria were particularly variable in their outcome. In both mutant and wild-type cells mitochondrial membrane potential - but not amount - varied substantially across individual cells and predicted cell-to-cell variation in proliferation, mutation outcome, stress tolerance, and resistance to a clinically used anti-fungal drug. These results suggest an important role for cell-to-cell variation in the state of an organelle in single cell phenotypic variation.
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Affiliation(s)
- Riddhiman Dhar
- Systems Biology Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Department of Biotechnology, Indian Institute of Technology, Kharagpur, India
| | - Alsu M Missarova
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Ben Lehner
- Systems Biology Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Lucas B Carey
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
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59
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Kraja AT, Liu C, Fetterman JL, Graff M, Have CT, Gu C, Yanek LR, Feitosa MF, Arking DE, Chasman DI, Young K, Ligthart S, Hill WD, Weiss S, Luan J, Giulianini F, Li-Gao R, Hartwig FP, Lin SJ, Wang L, Richardson TG, Yao J, Fernandez EP, Ghanbari M, Wojczynski MK, Lee WJ, Argos M, Armasu SM, Barve RA, Ryan KA, An P, Baranski TJ, Bielinski SJ, Bowden DW, Broeckel U, Christensen K, Chu AY, Corley J, Cox SR, Uitterlinden AG, Rivadeneira F, Cropp CD, Daw EW, van Heemst D, de las Fuentes L, Gao H, Tzoulaki I, Ahluwalia TS, de Mutsert R, Emery LS, Erzurumluoglu AM, Perry JA, Fu M, Forouhi NG, Gu Z, Hai Y, Harris SE, Hemani G, Hunt SC, Irvin MR, Jonsson AE, Justice AE, Kerrison ND, Larson NB, Lin KH, Love-Gregory LD, Mathias RA, Lee JH, Nauck M, Noordam R, Ong KK, Pankow J, Patki A, Pattie A, Petersmann A, Qi Q, Ribel-Madsen R, Rohde R, Sandow K, Schnurr TM, Sofer T, Starr JM, Taylor AM, Teumer A, Timpson NJ, de Haan HG, Wang Y, Weeke PE, Williams C, Wu H, Yang W, Zeng D, Witte DR, Weir BS, Wareham NJ, Vestergaard H, Turner ST, Torp-Pedersen C, Stergiakouli E, Sheu WHH, Rosendaal FR, Ikram MA, Franco OH, Ridker PM, Perls TT, Pedersen O, Nohr EA, Newman AB, Linneberg A, Langenberg C, Kilpeläinen TO, Kardia SLR, Jørgensen ME, Jørgensen T, Sørensen TIA, Homuth G, Hansen T, Goodarzi MO, Deary IJ, Christensen C, Chen YDI, Chakravarti A, Brandslund I, Bonnelykke K, Taylor KD, Wilson JG, Rodriguez S, Davies G, Horta BL, Thyagarajan B, Rao DC, Grarup N, Davila-Roman VG, Hudson G, Guo X, Arnett DK, Hayward C, Vaidya D, Mook-Kanamori DO, Tiwari HK, Levy D, Loos RJF, Dehghan A, Elliott P, Malik AN, Scott RA, Becker DM, de Andrade M, Province MA, Meigs JB, Rotter JI, North KE. Associations of Mitochondrial and Nuclear Mitochondrial Variants and Genes with Seven Metabolic Traits. Am J Hum Genet 2019; 104:112-138. [PMID: 30595373 PMCID: PMC6323610 DOI: 10.1016/j.ajhg.2018.12.001] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 12/06/2018] [Indexed: 12/16/2022] Open
Abstract
Mitochondria (MT), the major site of cellular energy production, are under dual genetic control by 37 mitochondrial DNA (mtDNA) genes and numerous nuclear genes (MT-nDNA). In the CHARGEmtDNA+ Consortium, we studied genetic associations of mtDNA and MT-nDNA associations with body mass index (BMI), waist-hip-ratio (WHR), glucose, insulin, HOMA-B, HOMA-IR, and HbA1c. This 45-cohort collaboration comprised 70,775 (insulin) to 170,202 (BMI) pan-ancestry individuals. Validation and imputation of mtDNA variants was followed by single-variant and gene-based association testing. We report two significant common variants, one in MT-ATP6 associated (p ≤ 5E-04) with WHR and one in the D-loop with glucose. Five rare variants in MT-ATP6, MT-ND5, and MT-ND6 associated with BMI, WHR, or insulin. Gene-based meta-analysis identified MT-ND3 associated with BMI (p ≤ 1E-03). We considered 2,282 MT-nDNA candidate gene associations compiled from online summary results for our traits (20 unique studies with 31 dataset consortia's genome-wide associations [GWASs]). Of these, 109 genes associated (p ≤ 1E-06) with at least 1 of our 7 traits. We assessed regulatory features of variants in the 109 genes, cis- and trans-gene expression regulation, and performed enrichment and protein-protein interactions analyses. Of the identified mtDNA and MT-nDNA genes, 79 associated with adipose measures, 49 with glucose/insulin, 13 with risk for type 2 diabetes, and 18 with cardiovascular disease, indicating for pleiotropic effects with health implications. Additionally, 21 genes related to cholesterol, suggesting additional important roles for the genes identified. Our results suggest that mtDNA and MT-nDNA genes and variants reported make important contributions to glucose and insulin metabolism, adipocyte regulation, diabetes, and cardiovascular disease.
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Affiliation(s)
- Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA.
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jessica L Fetterman
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02118, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA
| | - Christian Theil Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Kristin Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA
| | - Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015 CE, the Netherlands
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine and University of Greifswald, Greifswald 17475, Germany
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Fernando P Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas 96020-220, Brazil; MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Shiow J Lin
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Eliana P Fernandez
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015 CE, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015 CE, the Netherlands
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan; Department of Social Work, Tunghai University, Taichung 407, Taiwan
| | - Maria Argos
- Department of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Sebastian M Armasu
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Ruteja A Barve
- Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Kathleen A Ryan
- School of Medicine, Division of Endocrinology, Diabetes and Nutrition, and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ping An
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Thomas J Baranski
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Suzette J Bielinski
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Donald W Bowden
- Center for Diabetes Research, Wake Forest School of Medicine, Cincinnati, OH 45206, USA
| | - Ulrich Broeckel
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Kaare Christensen
- The Danish Aging Research Center, University of Southern Denmark, Odense 5000, Denmark
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, the Netherlands
| | - Cheryl D Cropp
- Samford University McWhorter School of Pharmacy, Birmingham, Alabama, Translational Genomics Research Institute (TGen), Phoenix, AZ 35229, USA
| | - E Warwick Daw
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO 63110, USA
| | - He Gao
- Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Ioanna Tzoulaki
- Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Hygiene and Epidemiology, University of Ioannina, Ioannina 45110, Greece
| | | | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | | | - James A Perry
- School of Medicine, Division of Endocrinology, Diabetes and Nutrition, and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Mao Fu
- School of Medicine, Division of Endocrinology, Diabetes and Nutrition, and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Zhenglong Gu
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Centre for Genomic and Experimental Medicine, Medical Genetics Section, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Steven C Hunt
- Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA; Department of Genetic Medicine, Weill Cornell Medicine, PO Box 24144, Doha, Qatar
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Anna E Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA; Biomedical and Translational Informatics, Geisinger Health, Danville, PA 17822, USA
| | - Nicola D Kerrison
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Nicholas B Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Keng-Hung Lin
- Department of Ophthalmology, Taichung Veterans General Hospital, Taichung 407, Taiwan
| | - Latisha D Love-Gregory
- Genomics & Pathology Services, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rasika A Mathias
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; GeneSTAR Research Program, Divisions of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Joseph H Lee
- Taub Institute for Research on Alzheimer disease and the Aging Brain, Columbia University Medical Center, New York, NY 10032, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - James Pankow
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN 55454, USA
| | - Amit Patki
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Alison Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Qibin Qi
- Department of Epidemiology & Population Health, Albert Einstein School of Medicine, Bronx, NY 10461, USA
| | - Rasmus Ribel-Madsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Endocrinology, Diabetes and Metabolism, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark; The Danish Diabetes Academy, 5000 Odense, Denmark
| | - Rebecca Rohde
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA
| | - Kevin Sandow
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Adele M Taylor
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Yujie Wang
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA
| | - Peter E Weeke
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark
| | - Christine Williams
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Hongsheng Wu
- Computer Science and Networking, Wentworth Institute of Technology, Boston, MA 02115, USA
| | - Wei Yang
- Genome Technology Access Center, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Daniel R Witte
- Department of Public Health, Section of Epidemiology, Aarhus University, Denmark, Danish Diabetes Academy, Odense University Hospital, 5000 Odense, Denmark
| | - Bruce S Weir
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Steno Diabetes Center Copenhagen, Copenhagen 2820, Denmark
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55902, USA
| | - Christian Torp-Pedersen
- Department of Health Science and Technology, Aalborg University Hospital, Aalborg 9220, Denmark
| | - Evie Stergiakouli
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407, Taiwan; Institute of Medical Technology, National Chung-Hsing University, Taichung 402, Taiwan; School of Medicine, National Defense Medical Center, Taipei 114, Taiwan; School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015 CE, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015 CE, the Netherlands; Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Ellen A Nohr
- Research Unit for Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Allan Linneberg
- Department of Clinical Experimental Research, Rigshospitalet, Copenhagen 2200, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; The Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen 2000, Denmark
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup Hospital, Glostrup 2600, Denmark; Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen 1014, Denmark; Faculty of Medicine, Aalborg University, Aalborg 9100, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research (Section of Metabolic Genetics) and Department of Public Health (Section on Epidemiology), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200N, Denmark
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine and University of Greifswald, Greifswald 17475, Germany
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Cramer Christensen
- Department of Internal Medicine, Section of Endocrinology, Vejle Lillebaelt Hospital, 7100 Vejle, Denmark
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ivan Brandslund
- Department of Clinical Biochemistry, Vejle Hospital, 7100 Vejle, Denmark; Institute of Regional Health Research, University of Southern Denmark, 5000 Odense C, Denmark
| | - Klaus Bonnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Copenhagen University Hospital, Gentofte & Naestved 2820, Denmark; Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Santiago Rodriguez
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Bernardo L Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas 96020-220, Brazil
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Victor G Davila-Roman
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Gavin Hudson
- Wellcome Trust Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Donna K Arnett
- University of Kentucky, College of Public Health, Lexington, KY 40508, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Dhananjay Vaidya
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands; Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA, USA; The Population Sciences Branch, NHLBI/NIH, Bethesda, MD 20892, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Genetics of Obesity and Related Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Abbas Dehghan
- Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Paul Elliott
- Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Afshan N Malik
- King's College London, Department of Diabetes, School of Life Course, Faculty of Life Sciences and Medicine, London SE1 1NN, UK
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Diane M Becker
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of General Internal Medicine, Massachusetts General Hospital, Boston 02114, MA, USA; Program in Medical and Population Genetics, Broad Institute, Boston, MA 02142, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, LABioMed and Department of Pediatrics, at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27516, USA.
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Katju V, Bergthorsson U. Old Trade, New Tricks: Insights into the Spontaneous Mutation Process from the Partnering of Classical Mutation Accumulation Experiments with High-Throughput Genomic Approaches. Genome Biol Evol 2019; 11:136-165. [PMID: 30476040 PMCID: PMC6330053 DOI: 10.1093/gbe/evy252] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2018] [Indexed: 12/17/2022] Open
Abstract
Mutations spawn genetic variation which, in turn, fuels evolution. Hence, experimental investigations into the rate and fitness effects of spontaneous mutations are central to the study of evolution. Mutation accumulation (MA) experiments have served as a cornerstone for furthering our understanding of spontaneous mutations for four decades. In the pregenomic era, phenotypic measurements of fitness-related traits in MA lines were used to indirectly estimate key mutational parameters, such as the genomic mutation rate, new mutational variance per generation, and the average fitness effect of mutations. Rapidly emerging next-generating sequencing technology has supplanted this phenotype-dependent approach, enabling direct empirical estimates of the mutation rate and a more nuanced understanding of the relative contributions of different classes of mutations to the standing genetic variation. Whole-genome sequencing of MA lines bears immense potential to provide a unified account of the evolutionary process at multiple levels-the genetic basis of variation, and the evolutionary dynamics of mutations under the forces of selection and drift. In this review, we have attempted to synthesize key insights into the spontaneous mutation process that are rapidly emerging from the partnering of classical MA experiments with high-throughput sequencing, with particular emphasis on the spontaneous rates and molecular properties of different mutational classes in nuclear and mitochondrial genomes of diverse taxa, the contribution of mutations to the evolution of gene expression, and the rate and stability of transgenerational epigenetic modifications. Future advances in sequencing technologies will enable greater species representation to further refine our understanding of mutational parameters and their functional consequences.
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Affiliation(s)
- Vaishali Katju
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4458
| | - Ulfar Bergthorsson
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4458
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Wang Q, Lu W, Yang J, Jiang L, Zhang Q, Kan X, Yang X. Comparative transcriptomics in three Passerida species provides insights into the evolution of avian mitochondrial complex I. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2018; 28:27-36. [DOI: 10.1016/j.cbd.2018.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 06/04/2018] [Accepted: 06/13/2018] [Indexed: 02/02/2023]
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Palozzi JM, Jeedigunta SP, Hurd TR. Mitochondrial DNA Purifying Selection in Mammals and Invertebrates. J Mol Biol 2018; 430:4834-4848. [DOI: 10.1016/j.jmb.2018.10.019] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 10/20/2018] [Accepted: 10/25/2018] [Indexed: 01/19/2023]
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Samstag CL, Hoekstra JG, Huang CH, Chaisson MJ, Youle RJ, Kennedy SR, Pallanck LJ. Deleterious mitochondrial DNA point mutations are overrepresented in Drosophila expressing a proofreading-defective DNA polymerase γ. PLoS Genet 2018; 14:e1007805. [PMID: 30452458 PMCID: PMC6289449 DOI: 10.1371/journal.pgen.1007805] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 12/11/2018] [Accepted: 11/01/2018] [Indexed: 01/08/2023] Open
Abstract
Mitochondrial DNA (mtDNA) mutations cause severe maternally inherited syndromes and the accumulation of somatic mtDNA mutations is implicated in aging and common diseases. However, the mechanisms that influence the frequency and pathogenicity of mtDNA mutations are poorly understood. To address this matter, we created a Drosophila mtDNA mutator strain expressing a proofreading-deficient form of the mitochondrial DNA polymerase. Mutator flies have a dramatically increased somatic mtDNA mutation frequency that correlates with the dosage of the proofreading-deficient polymerase. Mutator flies also exhibit mitochondrial dysfunction, shortened lifespan, a progressive locomotor deficit, and loss of dopaminergic neurons. Surprisingly, the frequency of nonsynonymous, pathogenic, and conserved-site mutations in mutator flies exceeded predictions of a neutral mutational model, indicating the existence of a positive selection mechanism that favors deleterious mtDNA variants. We propose from these findings that deleterious mtDNA mutations are overrepresented because they selectively evade quality control surveillance or because they are amplified through compensatory mitochondrial biogenesis. The energy needs of an animal cell are supplied by tiny organelles known as mitochondria. Each of the many mitochondria in a cell has a set of blueprints for making more mitochondria, known as mitochondrial DNA (mtDNA). As animals age, their mtDNA acquires irreversible defects called mutations, which accumulate and may cause aging. Cells can selectively destroy malfunctioning mitochondria, so we hypothesized that mitochondria with harmful mutations would be selectively destroyed. To test our theory, we created a fruit fly strain with a high mtDNA mutation rate. Our hypothesis predicts that, because mitochondria bearing harmful mtDNA mutations would be destroyed, we should detect primarily less harmful mutations in our strain. However, the mtDNA mutations we detected were more harmful than expected by chance. We suggest two possible explanations: First, mitochondria with harmful mtDNA mutations may be degraded less often because they generate little energy and are not damaged by toxic byproducts of energy production. Second, cells may compensate for harmful mtDNA mutations by stimulating mitochondria to multiply, creating more healthy mitochondria but also more mitochondria with harmful mtDNA mutations. Future studies will distinguish between these models and further advance our understanding of aging and aging related disease.
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Affiliation(s)
- Colby L. Samstag
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, United States of America
- Department of Genome Sciences, University of Washington, Seattle, WA, United States of America
| | - Jake G. Hoekstra
- Department of Pathology, University of Washington, Seattle, WA, United States of America
| | - Chiu-Hui Huang
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America
| | - Mark J. Chaisson
- Computational Biology and Bioinformatics, University of Southern California, Los Angeles, CA, United States of America
| | - Richard J. Youle
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America
| | - Scott R. Kennedy
- Department of Pathology, University of Washington, Seattle, WA, United States of America
- * E-mail: (SRK); (LJP)
| | - Leo J. Pallanck
- Department of Genome Sciences, University of Washington, Seattle, WA, United States of America
- * E-mail: (SRK); (LJP)
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64
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Suárez-Villagrán MY, Azevedo RBR, Miller JH. Influence of Electron-Holes on DNA Sequence-Specific Mutation Rates. Genome Biol Evol 2018; 10:1039-1047. [PMID: 29617801 PMCID: PMC5887664 DOI: 10.1093/gbe/evy060] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2018] [Indexed: 12/22/2022] Open
Abstract
Biases in mutation rate can influence molecular evolution, yielding rates of evolution that vary widely in different parts of the genome and even among neighboring nucleotides. Here, we explore one possible mechanism of influence on sequence-specific mutation rates, the electron–hole, which can localize and potentially trigger a replication mismatch. A hole is a mobile site of positive charge created during one-electron oxidation by, for example, radiation, contact with a mutagenic agent, or oxidative stress. Its quantum wavelike properties cause it to localize at various sites with probabilities that vary widely, by orders of magnitude, and depend strongly on the local sequence. We find significant correlations between hole probabilities and mutation rates within base triplets, observed in published mutation accumulation experiments on four species of bacteria. We have also computed hole probability spectra for hypervariable segment I of the human mtDNA control region, which contains several mutational hotspots, and for heptanucleotides in noncoding regions of the human genome, whose polymorphism levels have recently been reported. We observe significant correlations between hole probabilities, and context-specific mutation and substitution rates. The correlation with hole probability cannot be explained entirely by CpG methylation in the heptanucleotide data. Peaks in hole probability tend to coincide with mutational hotspots, even in mtDNA where CpG methylation is rare. Our results suggest that hole-enhanced mutational mechanisms, such as oxidation-stabilized tautomerization and base deamination, contribute to molecular evolution.
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Affiliation(s)
- Martha Y Suárez-Villagrán
- Department of Physics, University of Houston, Houston.,Texas Center for Superconductivity, University of Houston, Houston
| | | | - John H Miller
- Department of Physics, University of Houston, Houston.,Texas Center for Superconductivity, University of Houston, Houston
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65
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Mans BJ, Featherston J, Kvas M, Pillay KA, de Klerk DG, Pienaar R, de Castro MH, Schwan TG, Lopez JE, Teel P, Pérez de León AA, Sonenshine DE, Egekwu NI, Bakkes DK, Heyne H, Kanduma EG, Nyangiwe N, Bouattour A, Latif AA. Argasid and ixodid systematics: Implications for soft tick evolution and systematics, with a new argasid species list. Ticks Tick Borne Dis 2018; 10:219-240. [PMID: 30309738 DOI: 10.1016/j.ttbdis.2018.09.010] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/02/2018] [Accepted: 09/22/2018] [Indexed: 10/28/2022]
Abstract
The systematics of the genera and subgenera within the soft tick family Argasidae is not adequately resolved. Different classification schemes, reflecting diverse schools of scientific thought that elevated or downgraded groups to genera or subgenera, have been proposed. In the most recent classification scheme, Argas and Ornithodoros are paraphyletic and the placement of various subgenera remains uncertain because molecular data are lacking. Thus, reclassification of the Argasidae is required. This will enable an understanding of soft tick systematics within an evolutionary context. This study addressed that knowledge gap using mitochondrial genome and nuclear (18S and 28S ribosomal RNA) sequence data for representatives of the subgenera Alectorobius, Argas, Chiropterargas, Ogadenus, Ornamentum, Ornithodoros, Navis (subgen. nov.), Pavlovskyella, Persicargas, Proknekalia, Reticulinasus and Secretargas, from the Afrotropical, Nearctic and Palearctic regions. Hard tick species (Ixodidae) and a new representative of Nuttalliella namaqua (Nuttalliellidae), were also sequenced with a total of 83 whole mitochondrial genomes, 18S rRNA and 28S rRNA genes generated. The study confirmed the utility of next-generation sequencing to retrieve systematic markers. Paraphyly of Argas and Ornithodoros was resolved by systematic analysis and a new species list is proposed. This corresponds broadly with the morphological cladistic analysis of Klompen and Oliver (1993). Estimation of divergence times using molecular dating allowed dissection of phylogeographic patterns for argasid evolution. The discovery of cryptic species in the subgenera Chiropterargas, Ogadenus and Ornithodoros, suggests that cryptic speciation is common within the Argasidae. Cryptic speciation has implications for past biological studies of soft ticks. These are discussed in particular for the Ornithodoros (Ornithodoros) moubata and Ornithodoros (Ornithodoros) savignyi groups.
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Affiliation(s)
- Ben J Mans
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa; Department of Life and Consumer Sciences, University of South Africa, South Africa.
| | - Jonathan Featherston
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Marija Kvas
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Kerry-Anne Pillay
- The Biotechnology Platform, Agricultural Research Council-Biotechnology Platform, Onderstepoort 0110, South Africa
| | - Daniel G de Klerk
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Ronel Pienaar
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Minique H de Castro
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Tom G Schwan
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, Hamilton, MT, United States
| | - Job E Lopez
- Department of Paediatrics, National School of Tropical Medicine, Paediatric Tropical Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Pete Teel
- Department of Entomology, Texas A&M AgriLife Research, Texas A&M University, College Station, TX, United States
| | - Adalberto A Pérez de León
- USDA-ARS Knipling-Bushland U.S. Livestock Insects Research Laboratory and Veterinary Pest Genomics Center, Kerrville, TX, United States
| | - Daniel E Sonenshine
- Department of Biological Sciences, Old Dominion University, Norfolk, VA, United States; Vector Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases (NIH), Rockville, MD, United States
| | - Noble I Egekwu
- Agricultural Research Service, United States Department of Agriculture, Washington, D.C., United States
| | - Deon K Bakkes
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Heloise Heyne
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa
| | - Esther G Kanduma
- Department of Biochemistry, School of Medicine, University of Nairobi, P.O BOX 30197, 00100, Nairobi, Kenya
| | - Nkululeko Nyangiwe
- Döhne Agricultural Development Institute, Private Bag X15, Stutterheim, 4930, South Africa
| | - Ali Bouattour
- Laboratoire d'Entomologie, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Abdalla A Latif
- School of Life Sciences, University of KwaZulu-Natal, Durban, Westville, South Africa
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66
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Fungal mitochondrial genomes and genetic polymorphisms. Appl Microbiol Biotechnol 2018; 102:9433-9448. [PMID: 30209549 DOI: 10.1007/s00253-018-9350-5] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 08/24/2018] [Accepted: 08/27/2018] [Indexed: 12/24/2022]
Abstract
Mitochondria are the powerhouses of eukaryotic cells, responsible for ATP generation and playing a role in a diversity of cellular and organismal functions. Different from the majority of other intracellular membrane structures, mitochondria contain their own genetic materials that are capable of independent replication and inheritance. In this mini-review, we provide brief summaries of fungal mitochondrial genome structure, size, gene content, inheritance, and genetic variation. We pay special attention to the relative genetic polymorphisms of the mitochondrial vs nuclear genomes at the population level within individual fungal species. Among the 20 species/groups of species reviewed here, there is a range of variation among genes and species in the relative nuclear and mitochondrial genetic polymorphisms. Interestingly, most (15/20) showed a greater genetic diversity for nuclear genes and genomes than for mitochondrial genes and genomes, with the remaining five showing similar or slower nuclear genome genetic variations. This fungal pattern is different from the dominant pattern in animals, but more similar to that in plants. At present, the mechanisms for the variations among fungal species and the overall low level of mitochondrial sequence polymorphisms are not known. The increasing availability of population genomic data should help us reveal the potential genetic and ecological factors responsible for the observed variations.
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67
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Arias MB, Elfekih S, Vogler AP. Population genetics and migration pathways of the Mediterranean fruit fly Ceratitis capitata inferred with coalescent methods. PeerJ 2018; 6:e5340. [PMID: 30123697 PMCID: PMC6086102 DOI: 10.7717/peerj.5340] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 07/09/2018] [Indexed: 12/13/2022] Open
Abstract
Background Invasive species are a growing threat to food biosecurity and cause significant economic losses in agricultural systems. Despite their damaging effect, they are attractive models for the study of evolution and adaptation in newly colonised environments. The Mediterranean fruit fly, Ceratitis capitata, as a member of the family Tephritidae, is one of the most studied invasive species feeding on many fruit crops in the tropics and subtropics worldwide. This study aims to determine the global macrogeographic population structure of Ceratitis capitata and reconstruct its potential migration routes. Method A partial mitochondrial cytochrome oxidase I gene from >400 individual medflies and 14 populations from four continents was sequenced and subjected to Bayesian demographic modelling. Results The Afrotropical populations (Kenya, South Africa and Ghana) harbour the majority of haplotypes detected, which also are highly divergent, in accordance with the presumed ancestral range of medflies in Sub-Saharan Africa. All other populations in the presumed non-native areas were dominated by a single haplotype also present in South Africa, in addition to a few, closely related haplotypes unique to a single local population or regional set, but missing from Africa. Bayesian coalescence methods revealed recent migration pathways from Africa to all continents, in addition to limited bidirectional migration among many local and intercontinental routes. Conclusion The detailed investigation of the recent migration history highlights the interconnectedness of affected crop production regions worldwide and pinpoints the routes and potential source areas requiring more specific quarantine measures.
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Affiliation(s)
- Maria Belen Arias
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, United Kingdom.,Department of Life Sciences, Natural History Museum, London, United Kingdom
| | - Samia Elfekih
- CSIRO Health & Biosecurity, Black Mountain, Canberra, Australia
| | - Alfried P Vogler
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, United Kingdom.,Department of Life Sciences, Natural History Museum, London, United Kingdom
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68
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Abstract
Quantifying the age of recent species divergence events can be challenging in the absence of calibration points within many groups. The katydid species Neoconocephalus lyristes provides the opportunity to calibrate a post-Pleistocene, taxa specific mutation rate using a known biogeographic event, the Mohawk-Hudson Divide. DNA was extracted from pinned museum specimens of N. lyristes from both Midwest and Atlantic populations and the mitochondrial gene COI sequenced using primers designed from extant specimens. Coalescent analyses using both strict and relaxed molecular clock models were performed in BEAST v1.8.2. The assumption of a strict molecular clock could not be rejected in favor of the relaxed clock model as the distribution of the standard deviation of the clock rate strongly abutted zero. The strict molecular clock model resulted in an intraspecific calculated mutation rate of 14.4-17.3 %/myr, a rate substantially higher than the common rates of sequence evolution observed for insect mitochondrial DNA sequences. The rate, however, aligns closely with mutation rates estimated from other taxa with similarly recent lineage divergence times.
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Affiliation(s)
- Gideon Ney
- Department of Biological Sciences, University of Missouri, Columbia, Missouri, United States
| | - Katy Frederick
- Department of Biological Sciences, University of Missouri, Columbia, Missouri, United States
| | - Johannes Schul
- Department of Biological Sciences, University of Missouri, Columbia, Missouri, United States
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69
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Skibinski DOF, Ghiselli F, Diz AP, Milani L, Mullins JGL. Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System. Genome Biol Evol 2018; 9:3265-3281. [PMID: 29149282 PMCID: PMC5726481 DOI: 10.1093/gbe/evx235] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2017] [Indexed: 12/27/2022] Open
Abstract
Many bivalve species have two types of mitochondrial DNA passed independently through the female line (F genome) and male line (M genome). Here we study the cytochrome oxidase I protein in such bivalve species and provide evidence for differences between the F and M proteins in amino acid property values, particularly relating to hydrophobicity and helicity. The magnitude of these differences varies between different regions of the protein and the change from the ancestor is most marked in the M protein. The observed changes occur in parallel and in the same direction in the different species studied. Two possible causes are considered, first relaxation of purifying selection with drift and second positive selection. These may operate in different ways in different regions of the protein. Many different amino acid substitutions contribute in a small way to the observed variation, but substitutions involving alanine and serine have a quantitatively large effect. Some of these substitutions are potential targets for phosphorylation and some are close to residues of functional importance in the catalytic mechanism. We propose that the observed changes in the F and M proteins might contribute to functional differences between them relating to ATP production and mitochondrial membrane potential with implications for sperm function.
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Affiliation(s)
- David O F Skibinski
- Institute of Life Science, Swansea University Medical School, United Kingdom
| | - Fabrizio Ghiselli
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Italy
| | - Angel P Diz
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Spain
| | - Liliana Milani
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Italy
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70
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Roman F, das Chagas Xavier S, Messenger LA, Pavan MG, Miles MA, Jansen AM, Yeo M. Dissecting the phyloepidemiology of Trypanosoma cruzi I (TcI) in Brazil by the use of high resolution genetic markers. PLoS Negl Trop Dis 2018; 12:e0006466. [PMID: 29782493 PMCID: PMC5983858 DOI: 10.1371/journal.pntd.0006466] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 06/01/2018] [Accepted: 04/19/2018] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Trypanosoma cruzi, the causal agent of Chagas disease, is monophyletic but genetically heterogeneous. It is currently represented by six genetic lineages (Discrete Typing Units, DTUs) designated TcI-TcVI. TcI is the most geographically widespread and genetically heterogeneous lineage, this as is evidenced by a wide range of genetic markers applied to isolates spanning a vast geographic range in Latin America. METHODOLOGY/PRINCIPAL FINDINGS In total, 78 TcI isolated from hosts and vectors distributed in 5 different biomes of Brazil, were analyzed using 6 nuclear housekeeping genes, 25 microsatellite loci and one mitochondrial marker. Nuclear markers reveal substantial genetic diversity, significant gene flow between biomes, incongruence in phylogenies, and haplotypic analysis indicative of intra-DTU genetic exchange. Phylogenetic reconstructions based on mitochondrial and nuclear loci were incongruent, and consistent with introgression. Structure analysis of microsatellite data reveals that, amongst biomes, the Amazon is the most genetically diverse and experiences the lowest level of gene flow. Investigation of population structure based on the host species/genus, indicated that Didelphis marsupialis might play a role as the main disperser of TcI. CONCLUSIONS/SIGNIFICANCE The present work considers a large TcI sample from different hosts and vectors spanning multiple ecologically diverse biomes in Brazil. Importantly, we combine fast and slow evolving markers to contribute to the epizootiological understanding of TcI in five distinct Brazilian biomes. This constitutes the first instance in which MLST analysis was combined with the use of MLMT and maxicircle markers to evaluate the genetic diversity of TcI isolates in Brazil. Our results demonstrate the existence of substantial genetic diversity and the occurrence of introgression events. We provide evidence of genetic exchange in TcI isolates from Brazil and of the relative isolation of TcI in the Amazon biome. We observe the absence of strict associations with TcI genotypes to geographic areas and/or host species.
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Affiliation(s)
- Fabiola Roman
- Laboratório de Bleiologia de Tripanossomatídeos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brasil
| | - Samanta das Chagas Xavier
- Laboratório de Bleiologia de Tripanossomatídeos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brasil
| | - Louisa A. Messenger
- Faculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Márcio G. Pavan
- Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Michael A. Miles
- Faculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ana María Jansen
- Laboratório de Bleiologia de Tripanossomatídeos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brasil
| | - Matthew Yeo
- Faculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Hanemaaijer MJ, Houston PD, Collier TC, Norris LC, Fofana A, Lanzaro GC, Cornel AJ, Lee Y. Mitochondrial genomes of Anopheles arabiensis, An. gambiae and An. coluzzii show no clear species division. F1000Res 2018; 7:347. [PMID: 31069048 PMCID: PMC6489993 DOI: 10.12688/f1000research.13807.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/08/2019] [Indexed: 12/05/2022] Open
Abstract
Here we report the complete mitochondrial sequences of 70 individual field collected mosquito specimens from throughout Sub-Saharan Africa. We generated this dataset to identify species specific markers for the following Anopheles species and chromosomal forms: An. arabiensis, An. coluzzii (The Forest and Mopti chromosomal forms) and An. gambiae (The Bamako and Savannah chromosomal forms). The raw Illumina sequencing reads were mapped to the NC_002084 reference mitogenome sequence. A total of 783 single nucleotide polymorphisms (SNPs) were detected on the mitochondrial genome, of which 460 are singletons (58.7%). None of these SNPs are suitable as molecular markers to distinguish among An. arabiensis, An. coluzzii and An. gambiae or any of the chromosomal forms. The lack of species or chromosomal form specific markers is also reflected in the constructed phylogenetic tree, which shows no clear division among the operational taxonomic units considered here.
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Affiliation(s)
- Mark J. Hanemaaijer
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Parker D. Houston
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Travis C. Collier
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Laura C. Norris
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Abdrahamane Fofana
- Malaria Research and Training Center, University of Bamako, Bamako, E2528, Mali
| | - Gregory C. Lanzaro
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Anthony J. Cornel
- Mosquito Control Research Laboratory, Kearney Agricultural Center, Department of Entomology and Nematology, University of California Davis, Davis, CA, 93648, USA
| | - Yoosook Lee
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
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Hanemaaijer MJ, Houston PD, Collier TC, Norris LC, Fofana A, Lanzaro GC, Cornel AJ, Lee Y. Mitochondrial genomes of Anopheles arabiensis, An. gambiae and An. coluzzii show no clear species division. F1000Res 2018; 7:347. [PMID: 31069048 PMCID: PMC6489993 DOI: 10.12688/f1000research.13807.1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/14/2018] [Indexed: 10/12/2023] Open
Abstract
Here we report the complete mitochondrial sequences of 70 individual field collected mosquito specimens from throughout Sub-Saharan Africa. We generated this dataset to identify species specific markers for the following Anopheles species and chromosomal forms: An. arabiensis, An. coluzzii (The Forest and Mopti chromosomal forms) and An. gambiae (The Bamako and Savannah chromosomal forms). The raw Illumina sequencing reads were mapped to the NC_002084 reference mitogenome sequence. A total of 783 single nucleotide polymorphisms (SNPs) were detected on the mitochondrial genome, of which 460 are singletons (58.7%). None of these SNPs are suitable as molecular markers to distinguish among An. arabiensis, An. coluzzii and An. gambiae or any of the chromosomal forms. The lack of species or chromosomal form specific markers is also reflected in the constructed phylogenetic tree, which shows no clear division among the operational taxonomic units considered here.
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Affiliation(s)
- Mark J. Hanemaaijer
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Parker D. Houston
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Travis C. Collier
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Laura C. Norris
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Abdrahamane Fofana
- Malaria Research and Training Center, University of Bamako, Bamako, E2528, Mali
| | - Gregory C. Lanzaro
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
| | - Anthony J. Cornel
- Mosquito Control Research Laboratory, Kearney Agricultural Center, Department of Entomology and Nematology, University of California Davis, Davis, CA, 93648, USA
| | - Yoosook Lee
- Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis , Davis, CA, 95616, USA
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Volobueva AS, Melnichenko AA, Grechko AV, Orekhov AN. Mitochondrial genome variability: the effect on cellular functional activity. Ther Clin Risk Manag 2018; 14:237-245. [PMID: 29467576 PMCID: PMC5811183 DOI: 10.2147/tcrm.s153895] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Mitochondria are the key players in cell metabolism, calcium homeostasis, and reactive oxygen species (ROS) production. Mitochondrial genome alterations are reported to be associated with numerous human disorders affecting nearly all tissues. In this review, we discuss the available information on the involvement of mitochondrial DNA (mtDNA) mutations in cell dysfunction.
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Affiliation(s)
| | - Alexandra A Melnichenko
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Andrey V Grechko
- Federal Scientific Clinical Center for Resuscitation and Rehabilitation, Moscow, Russia
| | - Alexander N Orekhov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Russian Academy of Sciences, Moscow, Russia.,Institute for Atherosclerosis Research, Skolkovo Innovative Center, Moscow, Russia
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74
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Xu S, Van Tran K, Neupane S, Snyman M, Huynh TV, Sung W. Single-sperm sequencing reveals the accelerated mitochondrial mutation rate in male Daphnia pulex (Crustacea, Cladocera). Proc Biol Sci 2018; 284:rspb.2017.1548. [PMID: 28931740 DOI: 10.1098/rspb.2017.1548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 08/16/2017] [Indexed: 01/23/2023] Open
Abstract
Mutation rate in the nuclear genome differs between sexes, with males contributing more mutations than females to their offspring. The male-biased mutation rates in the nuclear genome is most likely to be driven by a higher number of cell divisions in spermatogenesis than in oogenesis, generating more opportunities for DNA replication errors. However, it remains unknown whether male-biased mutation rates are present in mitochondrial DNA (mtDNA). Although mtDNA is maternally inherited and male mtDNA mutation typically does not contribute to genetic variation in offspring, male mtDNA mutations are critical for male reproductive health. In this study, we measured male mtDNA mutation rate using publicly available whole-genome sequences of single sperm of the freshwater microcrustacean Daphnia pulex Using a stringent mutation detection pipeline, we found that the male mtDNA mutation rate is 3.32 × 10-6 per site per generation. All the detected mutations are heteroplasmic base substitutions, with 57% of mutations converting G/C to A/T nucleotides. Consistent with the male-biased mutation in the nuclear genome, the male mtDNA mutation rate in D. pulex is approximately 20 times higher than the female rate per generation. We propose that the elevated mutation rate per generation in male mtDNA is consistent with an increased number of cell divisions during male gametogenesis.
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Affiliation(s)
- Sen Xu
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Kenny Van Tran
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Swatantra Neupane
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Marelize Snyman
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Trung Viet Huynh
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Way Sung
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
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Subbotin SA, Toumi F, Elekçioğlu IH, Waeyenberge L, Tanha Maafi Z. DNA barcoding, phylogeny and phylogeography of the cyst nematode species of the Avenae group from the genus Heterodera (Tylenchida: Heteroderidae). NEMATOLOGY 2018. [DOI: 10.1163/15685411-00003170] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Summary
Among the recognised species groups of Heterodera, the Avenae group is one of the largest with a total of 12 species. Ten of them, H. arenaria, H. aucklandica, H. australis, H. avenae, H. filipjevi, H. mani, H. pratensis, H. riparia, H. sturhani and H. ustinovi, are morphologically closely related and represent the H. avenae species complex, and the other two, H. hordecalis and H. latipons, are morphologically more distinct from this complex. In this study we provide comprehensive phylogenetic analyses of several hundred COI and ITS rRNA gene sequences from the Avenae group using Bayesian inference, maximum likelihood and statistical parsimony. Some 220 COI and 11 ITS rRNA new gene sequences from 147 nematode populations collected in 26 countries were obtained in this study. Our study showed that the COI gene is a powerful DNA barcoding marker for identification of populations and species from the Avenae group. A putatively new cyst nematode species related to H. latipons was revealed from the analysis of COI and ITS rRNA gene datasets. COI gene sequences allow distinguishing H. arenaria, H. australis and H. sturhani from each other and other species. Problems of species delimiting of these species are discussed. The results of the analysis showed that COI haplotypes corresponded to certain pathotypes of the cereal cyst nematodes. It is recommended that information on COI haplotypes of studied populations be included in research with these nematodes. Based on the results of phylogeographical analysis and age estimation of clades with a molecular clock approach, it was hypothesised that several species of the Avenae group primarily originated and diversified in the Irano-Anatolian hotspot during the Pleistocene and Holocene periods and then dispersed from this region across the world. Different geographic barriers, centres and times of origin might explain current known distribution patterns for species of the Avenae group. Possible pathways, including a long distance trans-Atlantic dispersal, and secondary centres of diversification are proposed and discussed.
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Affiliation(s)
- Sergei A. Subbotin
- 1Plant Pest Diagnostic Center, California Department of Food and Agriculture, 3294 Meadowview Road, 95832 Sacramento, CA, USA
- 2Center of Parasitology of A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninskii Prospect 33, 117071 Moscow, Russia
| | - Fateh Toumi
- 3ILVO, Plant, Crop Protection, Burg. Van Gansberghelaan 96, 9820 Merelbeke, Belgium
| | - Ibrahim Halil Elekçioğlu
- 4Çukurova University, Faculty of Agriculture, Plant Protection Department, 01330 Sarıçam, Adana, Turkey
| | - Lieven Waeyenberge
- 3ILVO, Plant, Crop Protection, Burg. Van Gansberghelaan 96, 9820 Merelbeke, Belgium
| | - Zahra Tanha Maafi
- 5Iranian Research Institute of Plant Protection, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
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Ren Q, Zhang F, Xu H. Proliferation Cycle Causes Age Dependent Mitochondrial Deficiencies and Contributes to the Aging of Stem Cells. Genes (Basel) 2017; 8:genes8120397. [PMID: 29257059 PMCID: PMC5748715 DOI: 10.3390/genes8120397] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 11/17/2017] [Accepted: 12/14/2017] [Indexed: 12/15/2022] Open
Abstract
In addition to chronological aging, stem cells are also subject to proliferative aging during the adult life span. However, the consequences of proliferative cycle and their contributions to stem cells aging have not been well investigated. Using Drosophila female germ line stem cells as a model, we found that the replication cycle leads to the age dependent decline of female fecundity, and is a major factor causing developmental abnormalities in the progeny of old females. The proliferative aging does not cause telomere shortening, but causes an accumulation of mitochondrial DNA (mtDNA) mutations or rearrangements at the control region. We propose that damaging mutations on mtDNA caused by accumulation of proliferation cycles in aged stem cells may disrupt mitochondrial respiration chain and impair mtDNA replication and represent a conserved mechanism underlying stem cell aging.
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Affiliation(s)
- Qiuting Ren
- Laboratory of Molecular Genetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Fan Zhang
- Laboratory of Molecular Genetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Hong Xu
- Laboratory of Molecular Genetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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Aston E, Channon A, Belavkin RV, Gifford DR, Krašovec R, Knight CG. Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover. Sci Rep 2017; 7:15519. [PMID: 29138394 PMCID: PMC5686101 DOI: 10.1038/s41598-017-14628-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 10/02/2017] [Indexed: 01/22/2023] Open
Abstract
The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness ("flattest"). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreases to no more than five orders of magnitude above estimates of eukaryotic per base mutation rate. We confirm the CMR reduces exponentially at low population sizes, irrespective of peak radius and distance, and increases with the number of genetic crossovers. We also identify an inverse relationship between CMR and the number of genes, confirming that, for a similar number of genes to that for the plant Arabidopsis thaliana (25,000), the CMR is close to its known wild-type mutation rate; mutation rates for additional organisms were also found to be within one order of magnitude of the CMR. This is the first time such a simulation model has been assigned input and produced output within range for a given biological organism. The decrease in CMR with population size previously observed is maintained; there is potential for the model to influence understanding of populations undergoing bottleneck, stress, and conservation strategy for populations near extinction.
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Affiliation(s)
- Elizabeth Aston
- School of Computing and Mathematics, Keele University, Keele, Staffordshire, UK.
| | - Alastair Channon
- School of Computing and Mathematics, Keele University, Keele, Staffordshire, UK
| | - Roman V Belavkin
- School of Engineering and Information Sciences, Middlesex University, London, UK
| | - Danna R Gifford
- Faculty of Science and Engineering, The University of Manchester, Manchester, UK
| | - Rok Krašovec
- Faculty of Science and Engineering, The University of Manchester, Manchester, UK
| | - Christopher G Knight
- Faculty of Science and Engineering, The University of Manchester, Manchester, UK
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Chen X, Wang J, Huang L, Yue W, Zou J, Yuan C, Lu G, Wang C. Evolutionary relationship of three mitten crabs ( Eriocheir sp) revealed by mitogenome and 5S ribosomal DNA analysis. AQUACULTURE AND FISHERIES 2017. [DOI: 10.1016/j.aaf.2017.10.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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79
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Morgan-Richards M, Bulgarella M, Sivyer L, Dowle EJ, Hale M, McKean NE, Trewick SA. Explaining large mitochondrial sequence differences within a population sample. ROYAL SOCIETY OPEN SCIENCE 2017; 4:170730. [PMID: 29291063 PMCID: PMC5717637 DOI: 10.1098/rsos.170730] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 10/26/2017] [Indexed: 06/07/2023]
Abstract
Mitochondrial DNA sequence is frequently used to infer species' boundaries, as divergence is relatively rapid when populations are reproductively isolated. However, the shared history of a non-recombining gene naturally leads to correlation of pairwise differences, resulting in mtDNA clusters that might be mistaken for evidence of multiple species. There are four distinct processes that can explain high levels of mtDNA sequence difference within a single sample. Here, we examine one case in detail as an exemplar to distinguish among competing hypotheses. Within our sample of tree wētā (Hemideina crassidens; Orthoptera), we found multiple mtDNA haplotypes for a protein-coding region (cytb/ND1) that differed by a maximum of 7.9%. From sequencing the whole mitochondrial genome of two representative individuals, we found evidence of constraining selection. Heterozygotes were as common as expected under random mating at five nuclear loci. Morphological traits and nuclear markers did not resolve the mtDNA groupings of individuals. We concluded that the large differences found among our sample of mtDNA sequences were simply owing to a large population size over an extended period of time allowing an equilibrium between mutation and drift to retain a great deal of genetic diversity within a single species.
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Affiliation(s)
| | - Mariana Bulgarella
- Ecology, Massey University, Private Bag 11 222, Palmerston North, New Zealand
| | - Louisa Sivyer
- Ecology, Massey University, Private Bag 11 222, Palmerston North, New Zealand
| | - Edwina J. Dowle
- Department of Integrative Biology, University of Colorado, 1151 Arapahoe, SI 2071, Denver, CO 80204, USA
| | - Marie Hale
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Natasha E. McKean
- Ecology, Massey University, Private Bag 11 222, Palmerston North, New Zealand
| | - Steven A. Trewick
- Ecology, Massey University, Private Bag 11 222, Palmerston North, New Zealand
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80
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Konrad A, Thompson O, Waterston RH, Moerman DG, Keightley PD, Bergthorsson U, Katju V. Mitochondrial Mutation Rate, Spectrum and Heteroplasmy in Caenorhabditis elegans Spontaneous Mutation Accumulation Lines of Differing Population Size. Mol Biol Evol 2017; 34:1319-1334. [PMID: 28087770 DOI: 10.1093/molbev/msx051] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Mitochondrial genomes of metazoans, given their elevated rates of evolution, have served as pivotal markers for phylogeographic studies and recent phylogenetic events. In order to determine the dynamics of spontaneous mitochondrial mutations in small populations in the absence and presence of selection, we evolved mutation accumulation (MA) lines of Caenorhabditis elegans in parallel over 409 consecutive generations at three varying population sizes of N = 1, 10, and 100 hermaphrodites. The N =1 populations should have a minimal influence of natural selection to provide the spontaneous mutation rate and the expected rate of neutral evolution, whereas larger population sizes should experience increasing intensity of selection. New mutations were identified by Illumina paired-end sequencing of 86 mtDNA genomes across 35 experimental lines and compared with published genomes of natural isolates. The spontaneous mitochondrial mutation rate was estimated at 1.05 × 10-7/site/generation. A strong G/C→A/T mutational bias was observed in both the MA lines and the natural isolates. This suggests that the low G + C content at synonymous sites is the product of mutation bias rather than selection as previously proposed. The mitochondrial effective population size per worm generation was estimated to be 62. Although it was previously concluded that heteroplasmy was rare in C. elegans, the vast majority of mutations in this study were heteroplasmic despite an experimental regime exceeding 400 generations. The frequencies of frameshift and nonsynonymous mutations were negatively correlated with population size, which suggests their deleterious effects on fitness and a potent role for selection in their eradication.
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Affiliation(s)
- Anke Konrad
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX
| | - Owen Thompson
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | - Donald G Moerman
- Department of Zoology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Peter D Keightley
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
| | - Ulfar Bergthorsson
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX
| | - Vaishali Katju
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX
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81
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Melvin RG, Ballard JWO. Cellular and population level processes influence the rate, accumulation and observed frequency of inherited and somatic mtDNA mutations. Mutagenesis 2017; 32:323-334. [PMID: 28521046 DOI: 10.1093/mutage/gex004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Mitochondria are found in all animals and have the unique feature of containing multiple copies of their own small, circular DNA genome (mtDNA). The rate and pattern of mutation accumulation in the mtDNA are influenced by molecular, cellular and population level processes. We distinguish between inherited and somatic mtDNA mutations and review evidence for the often-made assumption that mutations accumulate at a higher rate in mtDNA than in nuclear DNA (nDNA). We conclude that the whole genome mutation accumulation rate is higher for mtDNA than for nDNA but include the caveat that rates overlap considerably between the individual mtDNA- and nDNA-encoded genes. Next, we discuss the postulated causal mechanisms for the high rate of mtDNA mutation accumulation in both inheritance and in somatic cells. Perhaps unexpectedly, mtDNA is resilient to many mutagens of nDNA but is prone to errors of replication. We then consider the influence of maternal inheritance, recombination and selection on the observed accumulation pattern of inherited mtDNA mutations. Finally, we discuss environmental influences of temperature and diet on the observed frequency of inherited and somatic mtDNA mutations. We conclude that it is necessary to understand the cellular processes to fully interpret the pattern of mutations and how they influence our interpretations of evolution and disease.
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Affiliation(s)
- Richard G Melvin
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - John William O Ballard
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
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82
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Christie JR, Beekman M. Uniparental Inheritance Promotes Adaptive Evolution in Cytoplasmic Genomes. Mol Biol Evol 2017; 34:677-691. [PMID: 28025277 PMCID: PMC5896580 DOI: 10.1093/molbev/msw266] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Eukaryotes carry numerous asexual cytoplasmic genomes (mitochondria and plastids). Lacking recombination, asexual genomes should theoretically suffer from impaired adaptive evolution. Yet, empirical evidence indicates that cytoplasmic genomes experience higher levels of adaptive evolution than predicted by theory. In this study, we use a computational model to show that the unique biology of cytoplasmic genomes-specifically their organization into host cells and their uniparental (maternal) inheritance-enable them to undergo effective adaptive evolution. Uniparental inheritance of cytoplasmic genomes decreases competition between different beneficial substitutions (clonal interference), promoting the accumulation of beneficial substitutions. Uniparental inheritance also facilitates selection against deleterious cytoplasmic substitutions, slowing Muller's ratchet. In addition, uniparental inheritance generally reduces genetic hitchhiking of deleterious substitutions during selective sweeps. Overall, uniparental inheritance promotes adaptive evolution by increasing the level of beneficial substitutions relative to deleterious substitutions. When we assume that cytoplasmic genome inheritance is biparental, decreasing the number of genomes transmitted during gametogenesis (bottleneck) aids adaptive evolution. Nevertheless, adaptive evolution is always more efficient when inheritance is uniparental. Our findings explain empirical observations that cytoplasmic genomes-despite their asexual mode of reproduction-can readily undergo adaptive evolution.
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Affiliation(s)
- Joshua R Christie
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Madeleine Beekman
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
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83
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Krasovec M, Eyre-Walker A, Sanchez-Ferandin S, Piganeau G. Spontaneous Mutation Rate in the Smallest Photosynthetic Eukaryotes. Mol Biol Evol 2017; 34:1770-1779. [PMID: 28379581 PMCID: PMC5455958 DOI: 10.1093/molbev/msx119] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Mutation is the ultimate source of genetic variation, and knowledge of mutation rates is fundamental for our understanding of all evolutionary processes. High throughput sequencing of mutation accumulation lines has provided genome wide spontaneous mutation rates in a dozen model species, but estimates from nonmodel organisms from much of the diversity of life are very limited. Here, we report mutation rates in four haploid marine bacterial-sized photosynthetic eukaryotic algae; Bathycoccus prasinos, Ostreococcus tauri, Ostreococcus mediterraneus, and Micromonas pusilla. The spontaneous mutation rate between species varies from μ = 4.4 × 10-10 to 9.8 × 10-10 mutations per nucleotide per generation. Within genomes, there is a two-fold increase of the mutation rate in intergenic regions, consistent with an optimization of mismatch and transcription-coupled DNA repair in coding sequences. Additionally, we show that deviation from the equilibrium GC content increases the mutation rate by ∼2% to ∼12% because of a GC bias in coding sequences. More generally, the difference between the observed and equilibrium GC content of genomes explains some of the inter-specific variation in mutation rates.
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Affiliation(s)
- Marc Krasovec
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, Banyuls/Mer, France
| | - Adam Eyre-Walker
- Evolution, behaviour and environment, School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Sophie Sanchez-Ferandin
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, Banyuls/Mer, France
| | - Gwenael Piganeau
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, Banyuls/Mer, France
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84
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A domain in human EXOG converts apoptotic endonuclease to DNA-repair exonuclease. Nat Commun 2017; 8:14959. [PMID: 28466855 PMCID: PMC5418593 DOI: 10.1038/ncomms14959] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 02/16/2017] [Indexed: 11/09/2022] Open
Abstract
Human EXOG (hEXOG) is a 5′-exonuclease that is crucial for mitochondrial DNA repair; the enzyme belongs to a nonspecific nuclease family that includes the apoptotic endonuclease EndoG. Here we report biochemical and structural studies of hEXOG, including structures in its apo form and in a complex with DNA at 1.81 and 1.85 Å resolution, respectively. A Wing domain, absent in other ββα-Me members, suppresses endonuclease activity, but confers on hEXOG a strong 5′-dsDNA exonuclease activity that precisely excises a dinucleotide using an intrinsic ‘tape-measure'. The symmetrical apo hEXOG homodimer becomes asymmetrical upon binding to DNA, providing a structural basis for how substrate DNA bound to one active site allosterically regulates the activity of the other. These properties of hEXOG suggest a pathway for mitochondrial BER that provides an optimal substrate for subsequent gap-filling synthesis by DNA polymerase γ. Human EXOG is crucial for mitochondrial DNA repair. Here the authors present the crystal structures of hEXOG in apo form and as DNA complex and suggest a `tape-measure' activity to generate optimal substrates for mitochondrial base excision repair.
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85
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Smith SRT, Connallon T. The contribution of the mitochondrial genome to sex‐specific fitness variance. Evolution 2017; 71:1417-1424. [DOI: 10.1111/evo.13238] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Revised: 03/13/2017] [Accepted: 03/17/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Shane R. T. Smith
- School of Biological Sciences Monash University Clayton VIC 3800 Australia
| | - Tim Connallon
- School of Biological Sciences Monash University Clayton VIC 3800 Australia
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86
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Mediterranean lineage endemism, cold-adapted palaeodemographic dynamics and recent changes in population size in two solitary bees of the genus Anthophora. CONSERV GENET 2017. [DOI: 10.1007/s10592-017-0952-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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87
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CEDIKOVA M, PITULE P, KRIPNEROVA M, MARKOVA M, KUNCOVA J. Multiple Roles of Mitochondria in Aging Processes. Physiol Res 2016; 65:S519-S531. [DOI: 10.33549/physiolres.933538] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Aging is a multifactorial process influenced by genetic factors, nutrition, and lifestyle. According to mitochondrial theory of aging, mitochondrial dysfunction is widely considered a major contributor to age-related processes. Mitochondria are both the main source and targets of detrimental reactions initiated in association with age-dependent deterioration of the cellular functions. Reactions leading to increased reactive oxygen species generation, mtDNA mutations, and oxidation of mitochondrial proteins result in subsequent induction of apoptotic events, impaired oxidative phosphorylation capacity, mitochondrial dynamics, biogenesis and autophagy. This review summarizes the major changes of mitochondria related to aging, with emphasis on mitochondrial DNA mutations, the role of the reactive oxygen species, and structural and functional changes of mitochondria.
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Affiliation(s)
| | | | | | | | - J. KUNCOVA
- Department of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
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88
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Alexander M, Ho SYW, Molak M, Barnett R, Carlborg Ö, Dorshorst B, Honaker C, Besnier F, Wahlberg P, Dobney K, Siegel P, Andersson L, Larson G. Mitogenomic analysis of a 50-generation chicken pedigree reveals a rapid rate of mitochondrial evolution and evidence for paternal mtDNA inheritance. Biol Lett 2016; 11:rsbl.2015.0561. [PMID: 26510672 PMCID: PMC4650172 DOI: 10.1098/rsbl.2015.0561] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Mitochondrial genomes represent a valuable source of data for evolutionary research, but studies of their short-term evolution have typically been limited to invertebrates, humans and laboratory organisms. Here we present a detailed study of 12 mitochondrial genomes that span a total of 385 transmissions in a well-documented 50-generation pedigree in which two lineages of chickens were selected for low and high juvenile body weight. These data allowed us to test the hypothesis of time-dependent evolutionary rates and the assumption of strict maternal mitochondrial transmission, and to investigate the role of mitochondrial mutations in determining phenotype. The identification of a non-synonymous mutation in ND4L and a synonymous mutation in CYTB, both novel mutations in Gallus, allowed us to estimate a molecular rate of 3.13 × 10(-7) mutations/site/year (95% confidence interval 3.75 × 10(-8)-1.12 × 10(-6)). This is substantially higher than avian rate estimates based upon fossil calibrations. Ascertaining which of the two novel mutations was present in an additional 49 individuals also revealed an instance of paternal inheritance of mtDNA. Lastly, an association analysis demonstrated that neither of the point mutations was strongly associated with the phenotypic differences between the two selection lines. Together, these observations reveal the highly dynamic nature of mitochondrial evolution over short time periods.
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Affiliation(s)
- Michelle Alexander
- BioArCh Biology S Block, University of York, Wentworth Way, Heslington, York YO10 5DD, UK Department of Archaeology, School of Geosciences, University of Aberdeen, St. Mary's, Elphinstone Road, AB24 3UF, UK
| | - Simon Y W Ho
- School of Biological Sciences, University of Sydney, Sydney, New South Wales 2006, Australia
| | - Martyna Molak
- Museum and Institute of Zoology, Polish Academy of Sciences, Warsaw 00-679, Poland
| | - Ross Barnett
- Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology, Dyson Perrins Building, South Parks Road, Oxford OX1 3QY, UK
| | - Örjan Carlborg
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, PO Box 7078, 75007 Uppsala, Sweden
| | - Ben Dorshorst
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, PO Box 582, 75123 Uppsala, Sweden Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Christa Honaker
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Francois Besnier
- Section of Population Genetics, Institute of Marine Research, Nordnes 5817, Bergen, Norway
| | - Per Wahlberg
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, PO Box 582, 75123 Uppsala, Sweden
| | - Keith Dobney
- Department of Archaeology, School of Geosciences, University of Aberdeen, St. Mary's, Elphinstone Road, AB24 3UF, UK
| | - Paul Siegel
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Leif Andersson
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, PO Box 582, 75123 Uppsala, Sweden Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, PO Box 7023, 75007 Uppsala, Sweden
| | - Greger Larson
- Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology, Dyson Perrins Building, South Parks Road, Oxford OX1 3QY, UK
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89
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Fourdrilis S, Mardulyn P, Hardy OJ, Jordaens K, de Frias Martins AM, Backeljau T. Mitochondrial DNA hyperdiversity and its potential causes in the marine periwinkle Melarhaphe neritoides (Mollusca: Gastropoda). PeerJ 2016; 4:e2549. [PMID: 27761337 PMCID: PMC5068447 DOI: 10.7717/peerj.2549] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 09/12/2016] [Indexed: 12/18/2022] Open
Abstract
We report the presence of mitochondrial DNA (mtDNA) hyperdiversity in the marine periwinkle Melarhaphe neritoides (Linnaeus, 1758), the first such case among marine gastropods. Our dataset consisted of concatenated 16S-COI-Cytb gene fragments. We used Bayesian analyses to investigate three putative causes underlying genetic variation, and estimated the mtDNA mutation rate, possible signatures of selection and the effective population size of the species in the Azores archipelago. The mtDNA hyperdiversity in M. neritoides is characterized by extremely high haplotype diversity (Hd = 0.999 ± 0.001), high nucleotide diversity (π = 0.013 ± 0.001), and neutral nucleotide diversity above the threshold of 5% (πsyn = 0.0677). Haplotype richness is very high even at spatial scales as small as 100m2. Yet, mtDNA hyperdiversity does not affect the ability of DNA barcoding to identify M. neritoides. The mtDNA hyperdiversity in M. neritoides is best explained by the remarkably high mutation rate at the COI locus (μ = 5.82 × 10−5 per site per year or μ = 1.99 × 10−4 mutations per nucleotide site per generation), whereas the effective population size of this planktonic-dispersing species is surprisingly small (Ne = 5, 256; CI = 1,312–3,7495) probably due to the putative influence of selection. Comparison with COI nucleotide diversity values in other organisms suggests that mtDNA hyperdiversity may be more frequently linked to high μ values and that mtDNA hyperdiversity may be more common across other phyla than currently appreciated.
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Affiliation(s)
- Séverine Fourdrilis
- Directorate Taxonomy and Phylogeny & JEMU, Royal Belgian Institute of Natural Sciences , Brussels , Belgium
| | - Patrick Mardulyn
- Evolutionary Biology and Ecology, Université Libre de Bruxelles , Brussels , Belgium
| | - Olivier J Hardy
- Evolutionary Biology and Ecology, Université Libre de Bruxelles , Brussels , Belgium
| | - Kurt Jordaens
- Department of Biology, Invertebrate Section, Royal Museum for Central Africa , Tervuren , Belgium
| | - António Manuel de Frias Martins
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Pólo dos Açores, Departamento de Biologia da Universidade dos Açores, University of the Azores , Ponta Delgada , Portugal
| | - Thierry Backeljau
- Directorate Taxonomy and Phylogeny & JEMU, Royal Belgian Institute of Natural Sciences, Brussels, Belgium; Evolutionary Ecology Group, University of Antwerp, Antwerp, Belgium
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90
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Onyango MG, Aitken NC, Jack C, Chuah A, Oguya J, Djikeng A, Kemp S, Bellis GA, Nicholas A, Walker PJ, Duchemin JB. Genotyping of whole genome amplified reduced representation libraries reveals a cryptic population of Culicoides brevitarsis in the Northern Territory, Australia. BMC Genomics 2016; 17:769. [PMID: 27716062 PMCID: PMC5045647 DOI: 10.1186/s12864-016-3124-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 09/26/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The advent of genotyping by Next Generation Sequencing has enabled rapid discovery of thousands of single nucleotide polymorphism (SNP) markers and high throughput genotyping of large populations at an affordable cost. Genotyping by sequencing (GBS), a reduced representation library sequencing method, allows highly multiplexed sequencing of genomic subsets. This method has limitations for small organisms with low amounts of genomic DNA, such as the bluetongue virus (BTV) vectors, Culicoides midges. RESULTS This study employed the GBS method to isolate SNP markers de novo from whole genome amplified Culicoides brevitarsis genomic DNA. The individuals were collected from regions representing two different Australian patterns of BTV strain distribution: the Northern Territory (NT) and the east coast. We isolated 8145 SNPs using GBS. Phylogenetic analysis conducted using the filtered 3263 SNPs revealed the presence of a distinct C. brevitarsis sub-population in the NT and this was confirmed by analysis of mitochondrial DNA. Two loci showed a very strong signal for selection and were unique to the NT population. Bayesian analysis with STRUCTURE indicated a possible two-population cluster. CONCLUSIONS The results suggest that genotyping vectors with high density markers in combination with biological and environmental data is useful. However, more extensive sampling over a wider spatial and temporal range is needed. The presence of sub-structure in populations and loci under natural selection indicates the need for further investigation of the role of vectors in shaping the two Australian systems of BTV transmission. The described workflow is transferable to genotyping of small, non-model organisms, including arthropod vectors of pathogens of economic and medical importance.
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Affiliation(s)
- Maria G Onyango
- CSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, 3220, VIC, Australia.,School of Medicine, Deakin University, 75 Pidgons Road, Waurn Ponds, 3216, VIC, Australia
| | - Nicola C Aitken
- Research School of Biology, Australian National University, Canberra, ACT 2601, Australia
| | - Cameron Jack
- The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
| | - Aaron Chuah
- The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
| | - James Oguya
- International Livestock Research Institute (ILRI), P.O. Box 30709, 00100, Nairobi, Kenya
| | - Appolinaire Djikeng
- International Livestock Research Institute (ILRI), P.O. Box 30709, 00100, Nairobi, Kenya.,Biosciences eastern and central Africa-ILRI Hub (BecA-ILRI Hub), ILRI, PO Box 30709, 00100, Nairobi, Kenya
| | - Steve Kemp
- International Livestock Research Institute (ILRI), P.O. Box 30709, 00100, Nairobi, Kenya
| | - Glenn A Bellis
- Northern Australia Quarantine Strategy, 1 Pederson Road, Marrara, 0812, NT, Australia.,Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, 0909, NT, Australia
| | - Adrian Nicholas
- NSW Department of Primary Industries, Biosecurity, 4 Marsden Park Road, Calala, 2340, NSW, Australia
| | - Peter J Walker
- CSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, 3220, VIC, Australia
| | - Jean-Bernard Duchemin
- CSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, 3220, VIC, Australia.
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91
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Lavrov DV, Pett W. Animal Mitochondrial DNA as We Do Not Know It: mt-Genome Organization and Evolution in Nonbilaterian Lineages. Genome Biol Evol 2016; 8:2896-2913. [PMID: 27557826 PMCID: PMC5633667 DOI: 10.1093/gbe/evw195] [Citation(s) in RCA: 134] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2016] [Indexed: 12/11/2022] Open
Abstract
Animal mitochondrial DNA (mtDNA) is commonly described as a small, circular molecule that is conserved in size, gene content, and organization. Data collected in the last decade have challenged this view by revealing considerable diversity in animal mitochondrial genome organization. Much of this diversity has been found in nonbilaterian animals (phyla Cnidaria, Ctenophora, Placozoa, and Porifera), which, from a phylogenetic perspective, form the main branches of the animal tree along with Bilateria. Within these groups, mt-genomes are characterized by varying numbers of both linear and circular chromosomes, extra genes (e.g. atp9, polB, tatC), large variation in the number of encoded mitochondrial transfer RNAs (tRNAs) (0-25), at least seven different genetic codes, presence/absence of introns, tRNA and mRNA editing, fragmented ribosomal RNA genes, translational frameshifting, highly variable substitution rates, and a large range of genome sizes. This newly discovered diversity allows a better understanding of the evolutionary plasticity and conservation of animal mtDNA and provides insights into the molecular and evolutionary mechanisms shaping mitochondrial genomes.
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Affiliation(s)
- Dennis V Lavrov
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University
| | - Walker Pett
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University Laboratoire de Biométrie et Biologie Évolutive, Université Lyon 1, Villeurbanne, France
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92
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Sen A, Cox RT. Fly Models of Human Diseases: Drosophila as a Model for Understanding Human Mitochondrial Mutations and Disease. Curr Top Dev Biol 2016; 121:1-27. [PMID: 28057297 DOI: 10.1016/bs.ctdb.2016.07.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Mitochondrial diseases are a prevalent, heterogeneous class of diseases caused by defects in oxidative phosphorylation, whose severity depends upon particular genetic mutations. These diseases can be difficult to diagnose, and current therapeutics have limited efficacy, primarily treating only symptoms. Because mitochondria play a pivotal role in numerous cellular functions, especially ATP production, their diminished activity has dramatic physiological consequences. While this in and of itself makes treating mitochondrial disease complex, these organelles contain their own DNA, mtDNA, whose products are required for ATP production, in addition to the hundreds of nucleus-encoded proteins. Drosophila offers a tractable whole-animal model to understand the mechanisms underlying loss of mitochondrial function, the subsequent cellular and tissue damage that results, and how these organelles are inherited. Human and Drosophila mtDNAs encode the same set of products, and the homologous nucleus-encoded genes required for mitochondrial function are conserved. In addition, Drosophila contain sufficiently complex organ systems to effectively recapitulate many basic symptoms of mitochondrial diseases, yet are relatively easy and fast to genetically manipulate. There are several Drosophila models for specific mitochondrial diseases, which have been recently reviewed (Foriel, Willems, Smeitink, Schenck, & Beyrath, 2015). In this review, we highlight the conservation between human and Drosophila mtDNA, the present and future techniques for creating mtDNA mutations for further study, and how Drosophila has contributed to our current understanding of mitochondrial inheritance.
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Affiliation(s)
- A Sen
- Uniformed Services University, Bethesda, MD, United States
| | - R T Cox
- Uniformed Services University, Bethesda, MD, United States.
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93
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Patel MR, Miriyala GK, Littleton AJ, Yang H, Trinh K, Young JM, Kennedy SR, Yamashita YM, Pallanck LJ, Malik HS. A mitochondrial DNA hypomorph of cytochrome oxidase specifically impairs male fertility in Drosophila melanogaster. eLife 2016; 5:e16923. [PMID: 27481326 PMCID: PMC4970871 DOI: 10.7554/elife.16923] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 06/30/2016] [Indexed: 12/17/2022] Open
Abstract
Due to their strict maternal inheritance in most animals and plants, mitochondrial genomes are predicted to accumulate mutations that are beneficial or neutral in females but harmful in males. Although a few male-harming mtDNA mutations have been identified, consistent with this 'Mother's Curse', their effect on females has been largely unexplored. Here, we identify COII(G177S), a mtDNA hypomorph of cytochrome oxidase II, which specifically impairs male fertility due to defects in sperm development and function without impairing other male or female functions. COII(G177S) represents one of the clearest examples of a 'male-harming' mtDNA mutation in animals and suggest that the hypomorphic mtDNA mutations like COII(G177S) might specifically impair male gametogenesis. Intriguingly, some D. melanogaster nuclear genetic backgrounds can fully rescue COII(G177S) -associated sterility, consistent with previously proposed models that nuclear genomes can regulate the phenotypic manifestation of mtDNA mutations.
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Affiliation(s)
- Maulik R Patel
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
- Howard Hughes Medical Institute, Seattle, United States
- Department of Biological Sciences, Vanderbilt University, Nashville, United States
| | - Ganesh K Miriyala
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Aimee J Littleton
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Heiko Yang
- Life Sciences Institute, University of Michigan, Ann Arbor, United States
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, United States
| | - Kien Trinh
- Genome Sciences, University of Washington, Seattle, United States
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Scott R Kennedy
- Pathology, University of Washington Medical Center, Seattle, United States
| | - Yukiko M Yamashita
- Life Sciences Institute, University of Michigan, Ann Arbor, United States
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, United States
| | - Leo J Pallanck
- Genome Sciences, University of Washington, Seattle, United States
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
- Howard Hughes Medical Institute, Seattle, United States
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94
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Smith DR. The mutational hazard hypothesis of organelle genome evolution: 10 years on. Mol Ecol 2016; 25:3769-75. [PMID: 27357487 DOI: 10.1111/mec.13742] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 05/14/2016] [Accepted: 06/22/2016] [Indexed: 12/12/2022]
Abstract
Why is there such a large variation in size and noncoding DNA content among organelle genomes? One explanation is that this genomic variation results from differences in the rates of organelle mutation and random genetic drift, as opposed to being the direct product of natural selection. Along these lines, the mutational hazard hypothesis (MHH) holds that 'excess' DNA is a mutational liability (because it increases the potential for harmful mutations) and, thus, has a greater tendency to accumulate in an organelle system with a low mutation rate as opposed to one with a high rate of mutation. Various studies have explored this hypothesis and, more generally, the relationship between organelle genome architecture and the mode and efficiency of organelle DNA repair. Although some of these investigations are in agreement with the MHH, others have contradicted it; nevertheless, they support a central role of mutation, DNA maintenance pathways and random genetic drift in fashioning organelle chromosomes. Arguably, one of the most important contributions of the MHH is that it has sparked crucial, widespread discussions about the importance of nonadaptive processes in genome evolution.
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Affiliation(s)
- David Roy Smith
- Department of Biology, University of Western Ontario, London, ON, N6A 5B7, Canada
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95
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Soo Yean CY, Selva Raju K, Xavier R, Subramaniam S, Gopinath SCB, Chinni SV. Molecular Detection of Methicillin-Resistant Staphylococcus aureus by Non-Protein Coding RNA-Mediated Monoplex Polymerase Chain Reaction. PLoS One 2016; 11:e0158736. [PMID: 27367909 PMCID: PMC4930178 DOI: 10.1371/journal.pone.0158736] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 06/21/2016] [Indexed: 12/20/2022] Open
Abstract
Non-protein coding RNA (npcRNA) is a functional RNA molecule that is not translated into a protein. Bacterial npcRNAs are structurally diversified molecules, typically 50-200 nucleotides in length. They play a crucial physiological role in cellular networking, including stress responses, replication and bacterial virulence. In this study, by using an identified npcRNA gene (Sau-02) in Methicillin-resistant Staphylococcus aureus (MRSA), we identified the Gram-positive bacteria S. aureus. A Sau-02-mediated monoplex Polymerase Chain Reaction (PCR) assay was designed that displayed high sensitivity and specificity. Fourteen different bacteria and 18 S. aureus strains were tested, and the results showed that the Sau-02 gene is specific to S. aureus. The detection limit was tested against genomic DNA from MRSA and was found to be ~10 genome copies. Further, the detection was extended to whole-cell MRSA detection, and we reached the detection limit with two bacteria. The monoplex PCR assay demonstrated in this study is a novel detection method that can replicate other npcRNA-mediated detection assays.
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Affiliation(s)
- Cheryl Yeap Soo Yean
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
| | - Kishanraj Selva Raju
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
| | - Rathinam Xavier
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
| | | | - Subash C. B. Gopinath
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, Kangar, Perlis, Malaysia
- School of Bioprocess Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Suresh V. Chinni
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
- * E-mail:
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96
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Guo W, Grewe F, Fan W, Young GJ, Knoop V, Palmer JD, Mower JP. GinkgoandWelwitschiaMitogenomes Reveal Extreme Contrasts in Gymnosperm Mitochondrial Evolution. Mol Biol Evol 2016; 33:1448-60. [DOI: 10.1093/molbev/msw024] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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97
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Ness RW, Kraemer SA, Colegrave N, Keightley PD. Direct Estimate of the Spontaneous Mutation Rate Uncovers the Effects of Drift and Recombination in theChlamydomonas reinhardtiiPlastid Genome. Mol Biol Evol 2015; 33:800-8. [DOI: 10.1093/molbev/msv272] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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98
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Shell WA, Rehan SM. Recent and rapid diversification of the small carpenter bees in eastern North America. Biol J Linn Soc Lond 2015. [DOI: 10.1111/bij.12692] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Wyatt A. Shell
- Department of Biological Sciences; University of New Hampshire; 46 College Road Durham NH 03824 USA
| | - Sandra M. Rehan
- Department of Biological Sciences; University of New Hampshire; 46 College Road Durham NH 03824 USA
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99
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Favé MJ, Johnson RA, Cover S, Handschuh S, Metscher BD, Müller GB, Gopalan S, Abouheif E. Past climate change on Sky Islands drives novelty in a core developmental gene network and its phenotype. BMC Evol Biol 2015; 15:183. [PMID: 26338531 PMCID: PMC4560157 DOI: 10.1186/s12862-015-0448-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 08/06/2015] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND A fundamental and enduring problem in evolutionary biology is to understand how populations differentiate in the wild, yet little is known about what role organismal development plays in this process. Organismal development integrates environmental inputs with the action of gene regulatory networks to generate the phenotype. Core developmental gene networks have been highly conserved for millions of years across all animals, and therefore, organismal development may bias variation available for selection to work on. Biased variation may facilitate repeatable phenotypic responses when exposed to similar environmental inputs and ecological changes. To gain a more complete understanding of population differentiation in the wild, we integrated evolutionary developmental biology with population genetics, morphology, paleoecology and ecology. This integration was made possible by studying how populations of the ant species Monomorium emersoni respond to climatic and ecological changes across five 'Sky Islands' in Arizona, which are mountain ranges separated by vast 'seas' of desert. Sky Islands represent a replicated natural experiment allowing us to determine how repeatable is the response of M. emersoni populations to climate and ecological changes at the phenotypic, developmental, and gene network levels. RESULTS We show that a core developmental gene network and its phenotype has kept pace with ecological and climate change on each Sky Island over the last ~90,000 years before present (BP). This response has produced two types of evolutionary change within an ant species: one type is unpredictable and contingent on the pattern of isolation of Sky lsland populations by climate warming, resulting in slight changes in gene expression, organ growth, and morphology. The other type is predictable and deterministic, resulting in the repeated evolution of a novel wingless queen phenotype and its underlying gene network in response to habitat changes induced by climate warming. CONCLUSION Our findings reveal dynamics of developmental gene network evolution in wild populations. This holds important implications: (1) for understanding how phenotypic novelty is generated in the wild; (2) for providing a possible bridge between micro- and macroevolution; and (3) for understanding how development mediates the response of organisms to past, and potentially, future climate change.
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Affiliation(s)
- Marie-Julie Favé
- Department of Biology, McGill University, 1205 Dr. Penfield avenue, Montréal, Québec, Canada.
| | - Robert A Johnson
- School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501, USA.
| | - Stefan Cover
- Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.
| | - Stephan Handschuh
- Department of Theoretical Biology, University of Vienna, Althanstrasse 14, Vienna, 1090, Austria.
| | - Brian D Metscher
- Department of Theoretical Biology, University of Vienna, Althanstrasse 14, Vienna, 1090, Austria.
| | - Gerd B Müller
- Department of Theoretical Biology, University of Vienna, Althanstrasse 14, Vienna, 1090, Austria.
| | - Shyamalika Gopalan
- Department of Biology, McGill University, 1205 Dr. Penfield avenue, Montréal, Québec, Canada.
| | - Ehab Abouheif
- Department of Biology, McGill University, 1205 Dr. Penfield avenue, Montréal, Québec, Canada.
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100
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Tyagi S, Pande V, Das A. Mitochondrial genome sequence diversity of Indian Plasmodium falciparum isolates. Mem Inst Oswaldo Cruz 2015; 109:494-8. [PMID: 25075789 PMCID: PMC4155855 DOI: 10.1590/0074-0276130531] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Accepted: 03/11/2014] [Indexed: 11/22/2022] Open
Abstract
We have analysed the whole mitochondrial (mt) genome sequences (each
~6 kilo nucleotide base pairs in length) of four field isolates of the malaria
parasite Plasmodium falciparum collected from different locations
in India. Comparative genomic analyses of mt genome sequences
revealed three novel India-specific single nucleotide polymorphisms. In general, high
mt genome diversity was found in Indian P.
falciparum, at a level comparable to African isolates. A population
phylogenetic tree placed the presently sequenced Indian P. falciparum
with the global isolates, while a previously sequenced Indian isolate was an
outlier. Although this preliminary study is limited to a few numbers of isolates, the
data have provided fundamental evidence of the mt genome diversity
and evolutionary relationships of Indian P. falciparum with that of
global isolates.
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Affiliation(s)
- Suchi Tyagi
- Evolutionary Genomics and Bioinformatics Laboratory, Division of Genomics and Bioinformatics, National Institute of Malaria Research, New Delhi, India
| | - Veena Pande
- Department of Biotechnology, Kumaun University, Nainital, India
| | - Aparup Das
- Evolutionary Genomics and Bioinformatics Laboratory, Division of Genomics and Bioinformatics, National Institute of Malaria Research, New Delhi, India
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