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Practical forensic use of kinship determination using high-density SNP profiling based on a microarray platform, focusing on low-quantity DNA. Forensic Sci Int Genet 2022; 61:102752. [DOI: 10.1016/j.fsigen.2022.102752] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/16/2022] [Accepted: 07/27/2022] [Indexed: 11/20/2022]
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Abstract
Mitochondria are organelles with vital functions in almost all eukaryotic cells. Often described as the cellular 'powerhouses' due to their essential role in aerobic oxidative phosphorylation, mitochondria perform many other essential functions beyond energy production. As signaling organelles, mitochondria communicate with the nucleus and other organelles to help maintain cellular homeostasis, allow cellular adaptation to diverse stresses, and help steer cell fate decisions during development. Mitochondria have taken center stage in the research of normal and pathological processes, including normal tissue homeostasis and metabolism, neurodegeneration, immunity and infectious diseases. The central role that mitochondria assume within cells is evidenced by the broad impact of mitochondrial diseases, caused by defects in either mitochondrial or nuclear genes encoding for mitochondrial proteins, on different organ systems. In this Review, we will provide the reader with a foundation of the mitochondrial 'hardware', the mitochondrion itself, with its specific dynamics, quality control mechanisms and cross-organelle communication, including its roles as a driver of an innate immune response, all with a focus on development, disease and aging. We will further discuss how mitochondrial DNA is inherited, how its mutation affects cell and organismal fitness, and current therapeutic approaches for mitochondrial diseases in both model organisms and humans.
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Affiliation(s)
- Marlies P. Rossmann
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 01238, USA
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Howard Hughes Medical Institute, Boston, MA 02115, USA
| | - Sonia M. Dubois
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Suneet Agarwal
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Leonard I. Zon
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 01238, USA
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Howard Hughes Medical Institute, Boston, MA 02115, USA
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3
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Weissensteiner H, Forer L, Fendt L, Kheirkhah A, Salas A, Kronenberg F, Schoenherr S. Contamination detection in sequencing studies using the mitochondrial phylogeny. Genome Res 2021; 31:309-316. [PMID: 33452015 PMCID: PMC7849411 DOI: 10.1101/gr.256545.119] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/30/2020] [Indexed: 01/14/2023]
Abstract
Within-species contamination is a major issue in sequencing studies, especially for mitochondrial studies. Contamination can be detected by analyzing the nuclear genome or by inspecting polymorphic sites in the mitochondrial genome (mtDNA). Existing methods using the nuclear genome are computationally expensive, and no appropriate tool for detecting sample contamination in large-scale mtDNA data sets is available. Here we present haplocheck, a tool that requires only the mtDNA to detect contamination in both targeted mitochondrial and whole-genome sequencing studies. Our in silico simulations and amplicon mixture experiments indicate that haplocheck detects mtDNA contamination accurately and is independent of the phylogenetic distance within a sample mixture. By applying haplocheck to The 1000 Genomes Project Consortium data, we further evaluate the application of haplocheck as a fast proxy tool for nDNA-based contamination detection using the mtDNA and identify the mitochondrial copy number within a mixture as a critical component for the overall accuracy. The haplocheck tool is available both as a command-line tool and as a cloud web service producing interactive reports that facilitates the navigation through the phylogeny of contaminated samples.
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Affiliation(s)
- Hansi Weissensteiner
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Liane Fendt
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Azin Kheirkhah
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Antonio Salas
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Sanitarias (IDIS), Hospital Clínico Universitario de Santiago (SERGAS), 15782, Galicia, Spain
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Sebastian Schoenherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
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4
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Smart U, Cihlar JC, Mandape SN, Muenzler M, King JL, Budowle B, Woerner AE. A Continuous Statistical Phasing Framework for the Analysis of Forensic Mitochondrial DNA Mixtures. Genes (Basel) 2021; 12:128. [PMID: 33498312 PMCID: PMC7909279 DOI: 10.3390/genes12020128] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 11/16/2022] Open
Abstract
Despite the benefits of quantitative data generated by massively parallel sequencing, resolving mitotypes from mixtures occurring in certain ratios remains challenging. In this study, a bioinformatic mixture deconvolution method centered on population-based phasing was developed and validated. The method was first tested on 270 in silico two-person mixtures varying in mixture proportions. An assortment of external reference panels containing information on haplotypic variation (from similar and different haplogroups) was leveraged to assess the effect of panel composition on phasing accuracy. Building on these simulations, mitochondrial genomes from the Human Mitochondrial DataBase were sourced to populate the panels and key parameter values were identified by deconvolving an additional 7290 in silico two-person mixtures. Finally, employing an optimized reference panel and phasing parameters, the approach was validated with in vitro two-person mixtures with differing proportions. Deconvolution was most accurate when the haplotypes in the mixture were similar to haplotypes present in the reference panel and when the mixture ratios were neither highly imbalanced nor subequal (e.g., 4:1). Overall, errors in haplotype estimation were largely bounded by the accuracy of the mixture's genotype results. The proposed framework is the first available approach that automates the reconstruction of complete individual mitotypes from mixtures, even in ratios that have traditionally been considered problematic.
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Affiliation(s)
- Utpal Smart
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
| | - Jennifer Churchill Cihlar
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
- Department of Microbiology, Immunology and Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX 76107, USA
| | - Sammed N. Mandape
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
| | - Melissa Muenzler
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
| | - Jonathan L. King
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
| | - Bruce Budowle
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
- Department of Microbiology, Immunology and Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX 76107, USA
| | - August E. Woerner
- Center for Human Identification, University of North Texas Health Science Center, 3500 Camp, Bowie Blvd., Fort Worth, TX 76107, USA; (U.S.); (J.C.C.); (S.N.M.); (M.M.); (J.L.K.); (B.B.)
- Department of Microbiology, Immunology and Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX 76107, USA
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5
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Gómez-Carballa A, Bello X, Pardo-Seco J, Martinón-Torres F, Salas A. Mapping genome variation of SARS-CoV-2 worldwide highlights the impact of COVID-19 super-spreaders. Genome Res 2020; 30:1434-1448. [PMID: 32878977 PMCID: PMC7605265 DOI: 10.1101/gr.266221.120] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 08/31/2020] [Indexed: 01/08/2023]
Abstract
The human pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the major pandemic of the twenty-first century. We analyzed more than 4700 SARS-CoV-2 genomes and associated metadata retrieved from public repositories. SARS-CoV-2 sequences have a high sequence identity (>99.9%), which drops to >96% when compared to bat coronavirus genome. We built a mutation-annotated reference SARS-CoV-2 phylogeny with two main macro-haplogroups, A and B, both of Asian origin, and more than 160 sub-branches representing virus strains of variable geographical origins worldwide, revealing a rather uniform mutation occurrence along branches that could have implications for diagnostics and the design of future vaccines. Identification of the root of SARS-CoV-2 genomes is not without problems, owing to conflicting interpretations derived from either using the bat coronavirus genomes as an outgroup or relying on the sampling chronology of the SARS-CoV-2 genomes and TMRCA estimates; however, the overall scenario favors haplogroup A as the ancestral node. Phylogenetic analysis indicates a TMRCA for SARS-CoV-2 genomes dating to November 12, 2019, thus matching epidemiological records. Sub-haplogroup A2 most likely originated in Europe from an Asian ancestor and gave rise to subclade A2a, which represents the major non-Asian outbreak, especially in Africa and Europe. Multiple founder effect episodes, most likely associated with super-spreader hosts, might explain COVID-19 pandemic to a large extent.
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Affiliation(s)
- Alberto Gómez-Carballa
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (SERGAS), 15706, Galicia, Spain
- Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago (IDIS) and Universidad de Santiago de Compostela (USC), 15706, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706, Galicia, Spain
| | - Xabier Bello
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (SERGAS), 15706, Galicia, Spain
- Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago (IDIS) and Universidad de Santiago de Compostela (USC), 15706, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706, Galicia, Spain
| | - Jacobo Pardo-Seco
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (SERGAS), 15706, Galicia, Spain
- Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago (IDIS) and Universidad de Santiago de Compostela (USC), 15706, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706, Galicia, Spain
| | - Federico Martinón-Torres
- Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago (IDIS) and Universidad de Santiago de Compostela (USC), 15706, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706, Galicia, Spain
| | - Antonio Salas
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (SERGAS), 15706, Galicia, Spain
- Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago (IDIS) and Universidad de Santiago de Compostela (USC), 15706, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706, Galicia, Spain
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Pérez-Losada M, Arenas M, Galán JC, Bracho MA, Hillung J, García-González N, González-Candelas F. High-throughput sequencing (HTS) for the analysis of viral populations. INFECTION GENETICS AND EVOLUTION 2020; 80:104208. [PMID: 32001386 DOI: 10.1016/j.meegid.2020.104208] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022]
Abstract
The development of High-Throughput Sequencing (HTS) technologies is having a major impact on the genomic analysis of viral populations. Current HTS platforms can capture nucleic acid variation across millions of genes for both selected amplicons and full viral genomes. HTS has already facilitated the discovery of new viruses, hinted new taxonomic classifications and provided a deeper and broader understanding of their diversity, population and genetic structure. Hence, HTS has already replaced standard Sanger sequencing in basic and applied research fields, but the next step is its implementation as a routine technology for the analysis of viruses in clinical settings. The most likely application of this implementation will be the analysis of viral genomics, because the huge population sizes, high mutation rates and very fast replacement of viral populations have demonstrated the limited information obtained with Sanger technology. In this review, we describe new technologies and provide guidelines for the high-throughput sequencing and genetic and evolutionary analyses of viral populations and metaviromes, including software applications. With the development of new HTS technologies, new and refurbished molecular and bioinformatic tools are also constantly being developed to process and integrate HTS data. These allow assembling viral genomes and inferring viral population diversity and dynamics. Finally, we also present several applications of these approaches to the analysis of viral clinical samples including transmission clusters and outbreak characterization.
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Affiliation(s)
- Marcos Pérez-Losada
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão 4485-661, Portugal
| | - Miguel Arenas
- Department of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain; Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain.
| | - Juan Carlos Galán
- Microbiology Service, Hospital Ramón y Cajal, Madrid, Spain; CIBER in Epidemiology and Public Health, Spain.
| | - Mª Alma Bracho
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain.
| | - Julia Hillung
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Neris García-González
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Fernando González-Candelas
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
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7
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Bruijns B, Tiggelaar R, Gardeniers H. Massively parallel sequencing techniques for forensics: A review. Electrophoresis 2018; 39:2642-2654. [PMID: 30101986 PMCID: PMC6282972 DOI: 10.1002/elps.201800082] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 07/07/2018] [Accepted: 07/23/2018] [Indexed: 11/09/2022]
Abstract
DNA sequencing, starting with Sanger's chain termination method in 1977 and evolving into the next generation sequencing (NGS) techniques of today that employ massively parallel sequencing (MPS), has become essential in application areas such as biotechnology, virology, and medical diagnostics. Reflected by the growing number of articles published over the last 2-3 years, these techniques have also gained attention in the forensic field. This review contains a brief description of first, second, and third generation sequencing techniques, and focuses on the recent developments in human DNA analysis applicable in the forensic field. Relevance to the forensic analysis is that besides generation of standard STR-profiles, DNA repeats can also be sequenced to look for polymorphisms. Furthermore, additional SNPs can be sequenced to acquire information on ancestry, paternity or phenotype. The current MPS systems are also very helpful in cases where only a limited amount of DNA or highly degraded DNA has been secured from a crime scene. If enough autosomal DNA is not present, mitochondrial DNA can be sequenced for maternal lineage analysis. These developments clearly demonstrate that the use of NGS will grow into an indispensable tool for forensic science.
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Affiliation(s)
- Brigitte Bruijns
- Mesoscale Chemical Systems, MESA Institute for NanotechnologyUniversity of TwenteEnschedeThe Netherlands
- Life ScienceEngineering & DesignSaxion University of Applied SciencesEnschedeThe Netherlands
| | - Roald Tiggelaar
- Mesoscale Chemical Systems, MESA Institute for NanotechnologyUniversity of TwenteEnschedeThe Netherlands
- NanoLab cleanroom, MESA Institute for NanotechnologyUniversity of TwenteEnschedeThe Netherlands
| | - Han Gardeniers
- Mesoscale Chemical Systems, MESA Institute for NanotechnologyUniversity of TwenteEnschedeThe Netherlands
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8
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Krüger J, Schleinitz D. Genetic Fingerprinting Using Microsatellite Markers in a Multiplex PCR Reaction: A Compilation of Methodological Approaches from Primer Design to Detection Systems. Methods Mol Biol 2018; 1492:1-15. [PMID: 27822853 DOI: 10.1007/978-1-4939-6442-0_1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Microsatellites are polymorphic DNA loci comprising repeated sequence motifs of two to five base pairs which are dispersed throughout the genome. Genotyping of microsatellites is a widely accepted tool for diagnostic and research purposes such as forensic investigations and parentage testing, but also in clinics (e.g. monitoring of bone marrow transplantation), as well as for the agriculture and food industries. The co-amplification of several short tandem repeat (STR) systems in a multiplex reaction with simultaneous detection helps to obtain more information from a DNA sample where its availability may be limited. Here, we introduce and describe this commonly used genotyping technique, providing an overview on available resources on STRs, multiplex design, and analysis.
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Affiliation(s)
- Jacqueline Krüger
- Department of Medicine, Dermatology and Neurology, University of Leipzig, Leipzig, Germany.,Leipzig University Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Dorit Schleinitz
- Department of Medicine, Dermatology and Neurology, University of Leipzig, Leipzig, Germany. .,Leipzig University Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany.
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9
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Skonieczna K, Malyarchuk B, Jawień A, Marszałek A, Banaszkiewicz Z, Jarmocik P, Grzybowski T. Mitogenomic differences between the normal and tumor cells of colorectal cancer patients. Hum Mutat 2018; 39:691-701. [PMID: 29330893 DOI: 10.1002/humu.23402] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 12/18/2017] [Accepted: 01/05/2018] [Indexed: 12/13/2022]
Abstract
So far, a reliable spectrum of mitochondrial DNA mutations in colorectal cancer cells is still unknown, and neither is their significance in carcinogenesis. Indeed, it remains debatable whether mtDNA mutations are "drivers" or "passengers" of colorectal carcinogenesis. Thus, we analyzed 200 mitogenomes from normal and cancer tissues of 100 colorectal cancer patients. Minority variant mutations were detected at the 1% level. We showed that somatic mutations frequently occur in colorectal cancer cells (75%) and are randomly distributed across the mitochondrial genome. Mutational signatures of somatic mitogenome mutations suggest that they might arise through nucleotide deamination due to oxidative stress. The majority of somatic mutations localized within the coding region (in positions not known from the human phylogeny) and was potentially pathogenic to cell metabolism. Further analysis suggested that the relaxation of negative selection in the mitogenomes of colorectal cancer cells may allow accumulation of somatic mutations. Thus, a shift in glucose metabolism from oxidative phosphorylation to glycolysis may create advantageous conditions for accumulation of mtDNA mutations. Considering the fact that the presence of somatic mtDNA mutations was not associated with any clinicopathological features, we suggested that mtDNA somatic mutations are "passengers" rather than the cause of colorectal carcinogenesis.
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Affiliation(s)
- Katarzyna Skonieczna
- Division of Molecular and Forensic Genetics, Department of Forensic Medicine, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
| | - Boris Malyarchuk
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia
| | - Arkadiusz Jawień
- Department of Vascular Surgery and Angiology, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
| | - Andrzej Marszałek
- Department of Pathology, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland.,Department of Tumor Pathology and Prophylaxis, Poznan University of Medical Sciences and Greater Poland Cancer Center, Poznan, Poland
| | - Zbigniew Banaszkiewicz
- Department of Vascular Surgery and Angiology, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
| | - Paweł Jarmocik
- Department of Vascular Surgery and Angiology, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
| | - Tomasz Grzybowski
- Division of Molecular and Forensic Genetics, Department of Forensic Medicine, Faculty of Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
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10
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Gallimore JM, McElhoe JA, Holland MM. Assessing heteroplasmic variant drift in the mtDNA control region of human hairs using an MPS approach. Forensic Sci Int Genet 2017; 32:7-17. [PMID: 29024924 DOI: 10.1016/j.fsigen.2017.09.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 09/20/2017] [Accepted: 09/26/2017] [Indexed: 01/11/2023]
Abstract
Resolution of mitochondrial (mt) DNA heteroplasmy is possible when applying a massively parallel sequencing (MPS) approach. However, interpretation criteria for matching heteroplasmic sequences will need to be established that address a number of important topics, including the drift of variants in sample types such as human hair shafts. Prior to MPS analysis, we compared three different DNA extraction methods for hair using a custom mtDNA quantitative PCR (mtqPCR) assay, and found that a method involving bead capture significantly outperformed methods currently in place in forensic laboratories. The findings were similar for both fine (head) and coarse (pubic) hairs. Using the favored DNA extraction approach, hair shaft extracts were subjected to MPS analysis to assess heteroplasmic drift and the potential impact of the observations on interpretation of mtDNA MPS data. Hairs from different regions of the head were evaluated in individuals with varying percentages of heteroplasmy (low-level, high-level, and no detectable heteroplasmy), as measured in buccal and blood cells. The range of variant ratios was broad and was not significantly different between individuals in the low and high-level groups. While the range was also broad for the group of individuals with no heteroplasmy, the vast majority of hairs from these donors still exhibited a lack of heteroplasmy. A model was developed to predict the amount of heteroplasmy expected in hair samples when knowledge of the percentage of heteroplasmy in buccal cells is available. While significant, the model was best applied when levels of heteroplasmy in buccal cells was high. No correlation was observed between rates of heteroplasmy in blood cells and the predicted amount of heteroplasmy in hairs. Of particular interest, unexpected sites of mixed mtDNA sequence that could be interpreted as heteroplasmy were observed for 13% of the 75 hairs tested. These sites can be explained as heteroplasmy not observed in buccal or blood cells, or sites of DNA damage, with inherent heteroplasmy a likely cause, possibly due to de novo mutation events. Overall, when applying an MPS approach to hair analysis, heteroplasmic variant ratios may be quite different than those observed in blood cells, may be correlated to rates in buccal cells, and may include unexpected mixed sites. The results of this study directly impact MPS analysis of minor sequence variants from hair samples, and are particularly relevant to clinical and forensic investigations.
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Affiliation(s)
- Jamie M Gallimore
- Forensic Science Program, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 014 Thomas Building, University Park, PA 16802, United States
| | - Jennifer A McElhoe
- Forensic Science Program, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 014 Thomas Building, University Park, PA 16802, United States
| | - Mitchell M Holland
- Forensic Science Program, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 014 Thomas Building, University Park, PA 16802, United States.
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11
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Alvarez-Cubero MJ, Saiz M, Martínez-García B, Sayalero SM, Entrala C, Lorente JA, Martinez-Gonzalez LJ. Next generation sequencing: an application in forensic sciences? Ann Hum Biol 2017; 44:581-592. [PMID: 28948844 DOI: 10.1080/03014460.2017.1375155] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
CONTEXT Over the last few decades, advances in sequencing have improved greatly. One of the most important achievements of Next Generation Sequencing (NGS) is to produce millions of sequence reads in a short period of time, and to produce large sequences of DNA in fragments of any size. Libraries can be generated from whole genomes or any DNA or RNA region of interest without the need to know its sequence beforehand. This allows for looking for variations and facilitating genetic identification. OBJECTIVES A deep analysis of current NGS technologies and their application, especially in forensics, including a discussion about the pros and cons of these technologies in genetic identification. METHODS A systematic literature search in PubMed, Science Direct and Scopus electronic databases was performed for the period of December 2012 to June 2015. RESULTS In the forensic field, one of the main problems is the limited amount of sample available, as well as its degraded state. If the amount of DNA input required for preparing NGS libraries continues to decrease, nearly any sample could be sequenced; therefore, the maximum information from any biological remains could be obtained. Additionally, microbiome typification could be an interesting application to study for crime scene characterisation. CONCLUSIONS NGS technologies are going to be crucial for DNA human typing in cases like mass disasters or other events where forensic specimens and samples are compromised and degraded. With the use of NGS it will be possible to achieve the simultaneous analysis of the standard autosomal DNA (STRs and SNPs), mitochondrial DNA, and X and Y chromosomal markers.
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Affiliation(s)
- Maria Jesus Alvarez-Cubero
- a GENYO , Centro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica, Parque Tecnológico de Ciencias de la Salud (PTS) , Granada , España
| | - Maria Saiz
- b Laboratorio de Identificación Genética, Departamento de Medicina Legal, Toxicología y Antropología Física, Facultad de Medicina , Universidad de Granada , Granada , España
| | - Belén Martínez-García
- a GENYO , Centro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica, Parque Tecnológico de Ciencias de la Salud (PTS) , Granada , España
| | - Sara M Sayalero
- c CRAG - Centre de Recerca en Agrigenòmica - CSIC IRTA UAB UB , Barcelona , España
| | - Carmen Entrala
- d LORGEN G.P. , PT, Ciencias de la Salud - BIC , Granada , España
| | - Jose Antonio Lorente
- a GENYO , Centro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica, Parque Tecnológico de Ciencias de la Salud (PTS) , Granada , España.,b Laboratorio de Identificación Genética, Departamento de Medicina Legal, Toxicología y Antropología Física, Facultad de Medicina , Universidad de Granada , Granada , España
| | - Luis Javier Martinez-Gonzalez
- a GENYO , Centro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica, Parque Tecnológico de Ciencias de la Salud (PTS) , Granada , España
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12
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Arenas M, Pereira F, Oliveira M, Pinto N, Lopes AM, Gomes V, Carracedo A, Amorim A. Forensic genetics and genomics: Much more than just a human affair. PLoS Genet 2017; 13:e1006960. [PMID: 28934201 PMCID: PMC5608170 DOI: 10.1371/journal.pgen.1006960] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
While traditional forensic genetics has been oriented towards using human DNA in criminal investigation and civil court cases, it currently presents a much wider application range, including not only legal situations sensu stricto but also and, increasingly often, to preemptively avoid judicial processes. Despite some difficulties, current forensic genetics is progressively incorporating the analysis of nonhuman genetic material to a greater extent. The analysis of this material-including other animal species, plants, or microorganisms-is now broadly used, providing ancillary evidence in criminalistics in cases such as animal attacks, trafficking of species, bioterrorism and biocrimes, and identification of fraudulent food composition, among many others. Here, we explore how nonhuman forensic genetics is being revolutionized by the increasing variety of genetic markers, the establishment of faster, less error-burdened and cheaper sequencing technologies, and the emergence and improvement of models, methods, and bioinformatics facilities.
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Affiliation(s)
- Miguel Arenas
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Filipe Pereira
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Porto, Portugal
| | - Manuela Oliveira
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Sciences, University of Porto, Porto, Portugal
| | - Nadia Pinto
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Centre of Mathematics of the University of Porto, Porto, Portugal
| | - Alexandra M. Lopes
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Veronica Gomes
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Angel Carracedo
- Institute of Forensic Sciences Luis Concheiro, University of Santiago de Compostela, Santiago de Compostela, Spain
- Genomics Medicine Group, CIBERER, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Antonio Amorim
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Sciences, University of Porto, Porto, Portugal
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13
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Vohr SH, Gordon R, Eizenga JM, Erlich HA, Calloway CD, Green RE. A phylogenetic approach for haplotype analysis of sequence data from complex mitochondrial mixtures. Forensic Sci Int Genet 2017; 30:93-105. [PMID: 28667863 DOI: 10.1016/j.fsigen.2017.05.007] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/05/2017] [Accepted: 05/26/2017] [Indexed: 12/11/2022]
Abstract
Massively parallel (next-generation) sequencing provides a powerful method to analyze DNA from many different sources, including degraded and trace samples. A common challenge, however, is that many forensic samples are often known or suspected mixtures of DNA from multiple individuals. Haploid lineage markers, such as mitochondrial (mt) DNA, are useful for analysis of mixtures because, unlike nuclear genetic markers, each individual contributes a single sequence to the mixture. Deconvolution of these mixtures into the constituent mitochondrial haplotypes is challenging as typical sequence read lengths are too short to reconstruct the distinct haplotypes completely. We present a powerful computational approach for determining the constituent haplotypes in massively parallel sequencing data from potentially mixed samples. At the heart of our approach is an expectation maximization based algorithm that co-estimates the overall mixture proportions and the source haplogroup for each read individually. This approach, implemented in the software package mixemt, correctly identifies haplogroups from mixed samples across a range of mixture proportions. Furthermore, our method can separate fragments in a mixed sample by the most likely originating contributor and generate reconstructions of the constituent haplotypes based on known patterns of mtDNA diversity.
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Affiliation(s)
- Samuel H Vohr
- Department of Biomolecular Engineering, University of California, Santa Cruz, 1156 High St., Santa Cruz, CA 95064, USA.
| | - Rachel Gordon
- Center for Genetics, Children's Hospital Oakland Research Institute, 5700 Martin Luther King Jr Way, Oakland, CA 94609, USA
| | - Jordan M Eizenga
- Department of Biomolecular Engineering, University of California, Santa Cruz, 1156 High St., Santa Cruz, CA 95064, USA
| | - Henry A Erlich
- Center for Genetics, Children's Hospital Oakland Research Institute, 5700 Martin Luther King Jr Way, Oakland, CA 94609, USA
| | - Cassandra D Calloway
- Center for Genetics, Children's Hospital Oakland Research Institute, 5700 Martin Luther King Jr Way, Oakland, CA 94609, USA; Forensic Science Graduate Program, University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, 1156 High St., Santa Cruz, CA 95064, USA
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14
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Alves C, Pereira R, Prieto L, Aler M, Amaral CR, Arévalo C, Berardi G, Di Rocco F, Caputo M, Carmona CH, Catelli L, Costa HA, Coufalova P, Furfuro S, García Ó, Gaviria A, Goios A, Gómez JJB, Hernández A, Hernández EDCB, Miranda L, Parra D, Pedrosa S, Porto MJA, Rebelo MDL, Spirito M, Torres MDCV, Amorim A, Pereira F. Species identification in forensic samples using the SPInDel approach: A GHEP-ISFG inter-laboratory collaborative exercise. Forensic Sci Int Genet 2017; 28:219-224. [DOI: 10.1016/j.fsigen.2017.03.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/02/2017] [Accepted: 03/03/2017] [Indexed: 10/20/2022]
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15
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Ma K, Li H, Cao Y, Zhao X, Liu W, Zhao X. Haplotype diversity in mitochondrial genome in a Chinese Han population. J Hum Genet 2016; 61:903-906. [PMID: 27305984 DOI: 10.1038/jhg.2016.74] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 05/08/2016] [Accepted: 05/09/2016] [Indexed: 12/22/2022]
Abstract
Investigations into the use of mitochondrial genome (mtGenome) typing by massively parallel sequencing technologies are well underway in many areas, including forensic genetics. Previous studies have demonstrated that mtGenome sequencing data generated from Ion torrent personal genome machine (PGM) system were highly viable and reliable in forensic research. In this study, 145 whole mtGenomes from unrelated Chinese Han population were sequenced using the Ion PGM system. Results showed that 145 distinct haplotypes were obtained at a relatively high coverage with limited strand bias. The distribution of variants across the entire mtGenomes was illustrated and 70.74% of the variants were observed outside of the control region. An overall increase in the number of unique haplotypes as well as haplotype diversity were observed by detection of mtGenome compared with hypervariable region I/II (HV I/II) and control region (CR). This study demonstrates the substantially higher degree of haplotype resolution with whole-mtGenome sequences in comparison to HV I/II or CR that historically targeted for forensic testing, which shows the potential value of mtGenome typing in forensic testing in the future.
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Affiliation(s)
- Ke Ma
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai, China
| | - Hui Li
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai, China
| | - Yu Cao
- Key Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai, China.,State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Xuejun Zhao
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai, China
| | - Wenbin Liu
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai, China
| | - Xueying Zhao
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai Research Institute of Criminal Science and Technology, Shanghai, China
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16
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Weissensteiner H, Forer L, Fuchsberger C, Schöpf B, Kloss-Brandstätter A, Specht G, Kronenberg F, Schönherr S. mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud. Nucleic Acids Res 2016; 44:W64-9. [PMID: 27084948 PMCID: PMC4987870 DOI: 10.1093/nar/gkw247] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Accepted: 04/02/2016] [Indexed: 01/24/2023] Open
Abstract
Next generation sequencing (NGS) allows investigating mitochondrial DNA (mtDNA) characteristics such as heteroplasmy (i.e. intra-individual sequence variation) to a higher level of detail. While several pipelines for analyzing heteroplasmies exist, issues in usability, accuracy of results and interpreting final data limit their usage. Here we present mtDNA-Server, a scalable web server for the analysis of mtDNA studies of any size with a special focus on usability as well as reliable identification and quantification of heteroplasmic variants. The mtDNA-Server workflow includes parallel read alignment, heteroplasmy detection, artefact or contamination identification, variant annotation as well as several quality control metrics, often neglected in current mtDNA NGS studies. All computational steps are parallelized with Hadoop MapReduce and executed graphically with Cloudgene. We validated the underlying heteroplasmy and contamination detection model by generating four artificial sample mix-ups on two different NGS devices. Our evaluation data shows that mtDNA-Server detects heteroplasmies and artificial recombinations down to the 1% level with perfect specificity and outperforms existing approaches regarding sensitivity. mtDNA-Server is currently able to analyze the 1000G Phase 3 data (n = 2,504) in less than 5 h and is freely accessible at https://mtdna-server.uibk.ac.at.
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Affiliation(s)
- Hansi Weissensteiner
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck 6020, Austria
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Christian Fuchsberger
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor 48109, Michigan, USA
| | - Bernd Schöpf
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Günther Specht
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck 6020, Austria
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
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17
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Weissensteiner H, Pacher D, Kloss-Brandstätter A, Forer L, Specht G, Bandelt HJ, Kronenberg F, Salas A, Schönherr S. HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing. Nucleic Acids Res 2016; 44:W58-63. [PMID: 27084951 PMCID: PMC4987869 DOI: 10.1093/nar/gkw233] [Citation(s) in RCA: 551] [Impact Index Per Article: 68.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Mitochondrial DNA (mtDNA) profiles can be classified into phylogenetic clusters (haplogroups), which is of great relevance for evolutionary, forensic and medical genetics. With the extensive growth of the underlying phylogenetic tree summarizing the published mtDNA sequences, the manual process of haplogroup classification would be too time-consuming. The previously published classification tool HaploGrep provided an automatic way to address this issue. Here, we present the completely updated version HaploGrep 2 offering several advanced features, including a generic rule-based system for immediate quality control (QC). This allows detecting artificial recombinants and missing variants as well as annotating rare and phantom mutations. Furthermore, the handling of high-throughput data in form of VCF files is now directly supported. For data output, several graphical reports are generated in real time, such as a multiple sequence alignment format, a VCF format and extended haplogroup QC reports, all viewable directly within the application. In addition, HaploGrep 2 generates a publication-ready phylogenetic tree of all input samples encoded relative to the revised Cambridge Reference Sequence. Finally, new distance measures and optimizations of the algorithm increase accuracy and speed-up the application. HaploGrep 2 can be accessed freely and without any registration at http://haplogrep.uibk.ac.at.
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Affiliation(s)
- Hansi Weissensteiner
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck 6020, Austria
| | - Dominic Pacher
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Anita Kloss-Brandstätter
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Günther Specht
- Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck 6020, Austria
| | | | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Antonio Salas
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, and Instituto de Ciencias Forenses, Grupo de Medicina Xenómica (GMX), Facultade de Medicina, Universidade de Santiago de Compostela, Calle San Francisco s/n, C.P. 15872, Galicia, Spain
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
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18
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Li M, Rothwell R, Vermaat M, Wachsmuth M, Schröder R, Laros JFJ, van Oven M, de Bakker PIW, Bovenberg JA, van Duijn CM, van Ommen GJB, Slagboom PE, Swertz MA, Wijmenga C, Kayser M, Boomsma DI, Zöllner S, de Knijff P, Stoneking M. Transmission of human mtDNA heteroplasmy in the Genome of the Netherlands families: support for a variable-size bottleneck. Genome Res 2016; 26:417-26. [PMID: 26916109 PMCID: PMC4817766 DOI: 10.1101/gr.203216.115] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 01/21/2016] [Indexed: 12/17/2022]
Abstract
Although previous studies have documented a bottleneck in the transmission of mtDNA genomes from mothers to offspring, several aspects remain unclear, including the size and nature of the bottleneck. Here, we analyze the dynamics of mtDNA heteroplasmy transmission in the Genomes of the Netherlands (GoNL) data, which consists of complete mtDNA genome sequences from 228 trios, eight dizygotic (DZ) twin quartets, and 10 monozygotic (MZ) twin quartets. Using a minor allele frequency (MAF) threshold of 2%, we identified 189 heteroplasmies in the trio mothers, of which 59% were transmitted to offspring, and 159 heteroplasmies in the trio offspring, of which 70% were inherited from the mothers. MZ twin pairs exhibited greater similarity in MAF at heteroplasmic sites than DZ twin pairs, suggesting that the heteroplasmy MAF in the oocyte is the major determinant of the heteroplasmy MAF in the offspring. We used a likelihood method to estimate the effective number of mtDNA genomes transmitted to offspring under different bottleneck models; a variable bottleneck size model provided the best fit to the data, with an estimated mean of nine individual mtDNA genomes transmitted. We also found evidence for negative selection during transmission against novel heteroplasmies (in which the minor allele has never been observed in polymorphism data). These novel heteroplasmies are enhanced for tRNA and rRNA genes, and mutations associated with mtDNA diseases frequently occur in these genes. Our results thus suggest that the female germ line is able to recognize and select against deleterious heteroplasmies.
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Affiliation(s)
- Mingkun Li
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany; Fondation Mérieux, 69002 Lyon, France
| | - Rebecca Rothwell
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Martijn Vermaat
- Leiden Genome Technology Center, Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Manja Wachsmuth
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Roland Schröder
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Jeroen F J Laros
- Leiden Genome Technology Center, Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Mannis van Oven
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - Paul I W de Bakker
- Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht 3584 CG, The Netherlands; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CG, The Netherlands
| | - Jasper A Bovenberg
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands
| | - Cornelia M van Duijn
- Legal Pathways Institute for Health and Bio Law, Aerdenhout 2111, The Netherlands
| | - Gert-Jan B van Ommen
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - P Eline Slagboom
- Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Morris A Swertz
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Cisca Wijmenga
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | | | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - Dorret I Boomsma
- Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Sebastian Zöllner
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Peter de Knijff
- Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
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19
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Colli L, Lancioni H, Cardinali I, Olivieri A, Capodiferro MR, Pellecchia M, Rzepus M, Zamani W, Naderi S, Gandini F, Vahidi SMF, Agha S, Randi E, Battaglia V, Sardina MT, Portolano B, Rezaei HR, Lymberakis P, Boyer F, Coissac E, Pompanon F, Taberlet P, Ajmone Marsan P, Achilli A. Whole mitochondrial genomes unveil the impact of domestication on goat matrilineal variability. BMC Genomics 2015; 16:1115. [PMID: 26714643 PMCID: PMC4696231 DOI: 10.1186/s12864-015-2342-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 12/22/2015] [Indexed: 01/31/2023] Open
Abstract
Background The current extensive use of the domestic goat (Capra hircus) is the result of its medium size and high adaptability as multiple breeds. The extent to which its genetic variability was influenced by early domestication practices is largely unknown. A common standard by which to analyze maternally-inherited variability of livestock species is through complete sequencing of the entire mitogenome (mitochondrial DNA, mtDNA). Results We present the first extensive survey of goat mitogenomic variability based on 84 complete sequences selected from an initial collection of 758 samples that represent 60 different breeds of C. hircus, as well as its wild sister species, bezoar (Capra aegagrus) from Iran. Our phylogenetic analyses dated the most recent common ancestor of C. hircus to ~460,000 years (ka) ago and identified five distinctive domestic haplogroups (A, B1, C1a, D1 and G). More than 90 % of goats examined were in haplogroup A. These domestic lineages are predominantly nested within C. aegagrus branches, diverged concomitantly at the interface between the Epipaleolithic and early Neolithic periods, and underwent a dramatic expansion starting from ~12–10 ka ago. Conclusions Domestic goat mitogenomes descended from a small number of founding haplotypes that underwent domestication after surviving the last glacial maximum in the Near Eastern refuges. All modern haplotypes A probably descended from a single (or at most a few closely related) female C. aegagrus. Zooarchaelogical data indicate that domestication first occurred in Southeastern Anatolia. Goats accompanying the first Neolithic migration waves into the Mediterranean were already characterized by two ancestral A and C variants. The ancient separation of the C branch (~130 ka ago) suggests a genetically distinct population that could have been involved in a second event of domestication. The novel diagnostic mutational motifs defined here, which distinguish wild and domestic haplogroups, could be used to understand phylogenetic relationships among modern breeds and ancient remains and to evaluate whether selection differentially affected mitochondrial genome variants during the development of economically important breeds. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2342-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Licia Colli
- Institute of Zootechnics, Università Cattolica del S. Cuore, Piacenza, 29122, Italy. .,Research Center on Biodiversity and Ancient DNA - BioDNA, Università Cattolica del S. Cuore, Piacenza, 29122, Italy.
| | - Hovirag Lancioni
- Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, Perugia, 06123, Italy.
| | - Irene Cardinali
- Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, Perugia, 06123, Italy.
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, 27100, Italy.
| | - Marco Rosario Capodiferro
- Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, Perugia, 06123, Italy. .,Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, 27100, Italy.
| | - Marco Pellecchia
- Institute of Zootechnics, Università Cattolica del S. Cuore, Piacenza, 29122, Italy.
| | - Marcin Rzepus
- Institute of Zootechnics, Università Cattolica del S. Cuore, Piacenza, 29122, Italy. .,Institute of Food Science and Nutrition - ISAN, Università Cattolica del S. Cuore, Piacenza, 29122, Italy.
| | - Wahid Zamani
- Université Grenoble Alpes, Laboratoire d'Ecologie Alpine, Grenoble, 38041, France. .,Department of Environmental Sciences, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran, 46414-356, Iran.
| | - Saeid Naderi
- Natural Resources Faculty, University of Guilan, Guilan, 41335-1914, Iran.
| | - Francesca Gandini
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, 27100, Italy. .,School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK.
| | | | - Saif Agha
- Department of Animal Production, Faculty of Agriculture, Ain Shams University, Cairo, 11241, Egypt.
| | - Ettore Randi
- Laboratorio di Genetica, Istituto per la Protezione e la Ricerca Ambientale (ISPRA), Bologna, 40064, Italy. .,Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, DK-9000, Denmark.
| | - Vincenza Battaglia
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, 27100, Italy.
| | - Maria Teresa Sardina
- Dipartimento Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, 90128, Italy.
| | - Baldassare Portolano
- Dipartimento Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, 90128, Italy.
| | - Hamid Reza Rezaei
- Environmental Sciences Department, Gorgan University of Agriculture and Natural Resources, Gorgan, 49138-15739, Iran.
| | - Petros Lymberakis
- Natural History Museum of Crete, University of Crete, Iraklio, Crete, 71409, Greece.
| | - Frédéric Boyer
- Université Grenoble Alpes, Laboratoire d'Ecologie Alpine, Grenoble, 38041, France.
| | - Eric Coissac
- Université Grenoble Alpes, Laboratoire d'Ecologie Alpine, Grenoble, 38041, France.
| | - François Pompanon
- Université Grenoble Alpes, Laboratoire d'Ecologie Alpine, Grenoble, 38041, France.
| | - Pierre Taberlet
- Université Grenoble Alpes, Laboratoire d'Ecologie Alpine, Grenoble, 38041, France.
| | - Paolo Ajmone Marsan
- Institute of Zootechnics, Università Cattolica del S. Cuore, Piacenza, 29122, Italy. .,Research Center on Biodiversity and Ancient DNA - BioDNA, Università Cattolica del S. Cuore, Piacenza, 29122, Italy.
| | - Alessandro Achilli
- Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, Perugia, 06123, Italy. .,Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, 27100, Italy.
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20
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Whole mitochondrial genome genetic diversity in an Estonian population sample. Int J Legal Med 2015; 130:67-71. [PMID: 26289416 DOI: 10.1007/s00414-015-1249-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 08/12/2015] [Indexed: 10/23/2022]
Abstract
Mitochondrial DNA is a useful marker for population studies, human identification, and forensic analysis. Commonly used hypervariable regions I and II (HVI/HVII) were reported to contain as little as 25% of mitochondrial DNA variants and therefore the majority of power of discrimination of mitochondrial DNA resides in the coding region. Massively parallel sequencing technology enables entire mitochondrial genome sequencing. In this study, buccal swabs were collected from 114 unrelated Estonians and whole mitochondrial genome sequences were generated using the Illumina MiSeq system. The results are concordant with previous mtDNA control region reports of high haplogroup HV and U frequencies (47.4 and 23.7% in this study, respectively) in the Estonian population. One sample with the Northern Asian haplogroup D was detected. The genetic diversity of the Estonian population sample was estimated to be 99.67 and 95.85%, for mtGenome and HVI/HVII data, respectively. The random match probability for mtGenome data was 1.20 versus 4.99% for HVI/HVII. The nucleotide mean pairwise difference was 27 ± 11 for mtGenome and 7 ± 3 for HVI/HVII data. These data describe the genetic diversity of the Estonian population sample and emphasize the power of discrimination of the entire mitochondrial genome over the hypervariable regions.
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21
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Complete mitochondrial genome database and standardized classification system for Canis lupus familiaris. Forensic Sci Int Genet 2015. [PMID: 26218982 DOI: 10.1016/j.fsigen.2015.06.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
To contribute to the complete mitogenome database of the species Canis lupus familiaris and shed more light on its origin, we have sequenced mitochondrial genomes of 120 modern dogs from worldwide populations. Together with all the previously published mitogenome sequences of acceptable quality, we have reconstructed a global phylogenetic tree of 555 C. l. familiaris mitogenomes and standardized haplogroup nomenclature. The phylogenetic tree presented here and available online at http://clf.mtdna.tree.cm.umk.pl/ could be further used by forensic and evolutionary geneticists as well cynologists, for data quality control and unambiguous haplogroup classification. Our in-depth phylogeographic analysis of all C. l. familiaris mitogenomes confirmed that domestic dogs may have originated in East Asia during the Mesolithic and Upper Paleolithic time periods and started to expand to other parts of the world during Neolithic times.
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22
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Sequeira A, Rollins B, Magnan C, van Oven M, Baldi P, Myers RM, Barchas JD, Schatzberg AF, Watson SJ, Akil H, Bunney WE, Vawter MP. Mitochondrial mutations in subjects with psychiatric disorders. PLoS One 2015; 10:e0127280. [PMID: 26011537 PMCID: PMC4444211 DOI: 10.1371/journal.pone.0127280] [Citation(s) in RCA: 32] [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: 10/09/2014] [Accepted: 04/13/2015] [Indexed: 11/30/2022] Open
Abstract
A considerable body of evidence supports the role of mitochondrial dysfunction in psychiatric disorders and mitochondrial DNA (mtDNA) mutations are known to alter brain energy metabolism, neurotransmission, and cause neurodegenerative disorders. Genetic studies focusing on common nuclear genome variants associated with these disorders have produced genome wide significant results but those studies have not directly studied mtDNA variants. The purpose of this study is to investigate, using next generation sequencing, the involvement of mtDNA variation in bipolar disorder, schizophrenia, major depressive disorder, and methamphetamine use. MtDNA extracted from multiple brain regions and blood were sequenced (121 mtDNA samples with an average of 8,800x coverage) and compared to an electronic database containing 26,850 mtDNA genomes. We confirmed novel and rare variants, and confirmed next generation sequencing error hotspots by traditional sequencing and genotyping methods. We observed a significant increase of non-synonymous mutations found in individuals with schizophrenia. Novel and rare non-synonymous mutations were found in psychiatric cases in mtDNA genes: ND6, ATP6, CYTB, and ND2. We also observed mtDNA heteroplasmy in brain at a locus previously associated with schizophrenia (T16519C). Large differences in heteroplasmy levels across brain regions within subjects suggest that somatic mutations accumulate differentially in brain regions. Finally, multiplasmy, a heteroplasmic measure of repeat length, was observed in brain from selective cases at a higher frequency than controls. These results offer support for increased rates of mtDNA substitutions in schizophrenia shown in our prior results. The variable levels of heteroplasmic/multiplasmic somatic mutations that occur in brain may be indicators of genetic instability in mtDNA.
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Affiliation(s)
- Adolfo Sequeira
- Functional Genomics Laboratory, Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, California, United States of America
| | - Brandi Rollins
- Functional Genomics Laboratory, Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, California, United States of America
| | - Christophe Magnan
- School of Information and Computer Sciences (ICS), Institute for Genomics and Bioinformatics (IGB), University of California Irvine, Irvine, California, United States of America
| | - Mannis van Oven
- Department of Forensic Molecular Biology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Pierre Baldi
- School of Information and Computer Sciences (ICS), Institute for Genomics and Bioinformatics (IGB), University of California Irvine, Irvine, California, United States of America
| | - Richard M. Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, United States of America
| | - Jack D. Barchas
- Department of Psychiatry, Weill Cornell Medical College, New York, New York, United States of America
| | - Alan F. Schatzberg
- Department of Psychiatry & Behavioral Sciences, Stanford University, Palo Alto, California, United States of America
| | - Stanley J. Watson
- Molecular and Behavioral Neurosciences Institute, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Huda Akil
- Molecular and Behavioral Neurosciences Institute, University of Michigan, Ann Arbor, Michigan, United States of America
| | - William E. Bunney
- Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, California, United States of America
| | - Marquis P. Vawter
- Functional Genomics Laboratory, Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, California, United States of America
- * E-mail:
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23
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Just RS, Irwin JA, Parson W. Mitochondrial DNA heteroplasmy in the emerging field of massively parallel sequencing. Forensic Sci Int Genet 2015; 18:131-9. [PMID: 26009256 PMCID: PMC4550493 DOI: 10.1016/j.fsigen.2015.05.003] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 04/24/2015] [Accepted: 05/05/2015] [Indexed: 12/12/2022]
Abstract
Long an important and useful tool in forensic genetic investigations, mitochondrial DNA (mtDNA) typing continues to mature. Research in the last few years has demonstrated both that data from the entire molecule will have practical benefits in forensic DNA casework, and that massively parallel sequencing (MPS) methods will make full mitochondrial genome (mtGenome) sequencing of forensic specimens feasible and cost-effective. A spate of recent studies has employed these new technologies to assess intraindividual mtDNA variation. However, in several instances, contamination and other sources of mixed mtDNA data have been erroneously identified as heteroplasmy. Well vetted mtGenome datasets based on both Sanger and MPS sequences have found authentic point heteroplasmy in approximately 25% of individuals when minor component detection thresholds are in the range of 10-20%, along with positional distribution patterns in the coding region that differ from patterns of point heteroplasmy in the well-studied control region. A few recent studies that examined very low-level heteroplasmy are concordant with these observations when the data are examined at a common level of resolution. In this review we provide an overview of considerations related to the use of MPS technologies to detect mtDNA heteroplasmy. In addition, we examine published reports on point heteroplasmy to characterize features of the data that will assist in the evaluation of future mtGenome data developed by any typing method.
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Affiliation(s)
- Rebecca S Just
- Armed Forces DNA Identification Laboratory, Armed Forces Medical Examiner System, Dover, DE, USA; American Registry of Pathology, Rockville, MD, USA
| | | | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, PA, USA.
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24
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Skonieczna K, Malyarchuk B, Jawień A, Marszałek A, Banaszkiewicz Z, Jarmocik P, Borcz M, Bała P, Grzybowski T. Heteroplasmic substitutions in the entire mitochondrial genomes of human colon cells detected by ultra-deep 454 sequencing. Forensic Sci Int Genet 2015; 15:16-20. [DOI: 10.1016/j.fsigen.2014.10.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Revised: 09/20/2014] [Accepted: 10/20/2014] [Indexed: 02/03/2023]
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25
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Gomes SM, Bodner M, Souto L, Zimmermann B, Huber G, Strobl C, Röck AW, Achilli A, Olivieri A, Torroni A, Côrte-Real F, Parson W. Human settlement history between Sunda and Sahul: a focus on East Timor (Timor-Leste) and the Pleistocenic mtDNA diversity. BMC Genomics 2015; 16:70. [PMID: 25757516 PMCID: PMC4342813 DOI: 10.1186/s12864-014-1201-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 12/22/2014] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Distinct, partly competing, "waves" have been proposed to explain human migration in(to) today's Island Southeast Asia and Australia based on genetic (and other) evidence. The paucity of high quality and high resolution data has impeded insights so far. In this study, one of the first in a forensic environment, we used the Ion Torrent Personal Genome Machine (PGM) for generating complete mitogenome sequences via stand-alone massively parallel sequencing and describe a standard data validation practice. RESULTS In this first representative investigation on the mitochondrial DNA (mtDNA) variation of East Timor (Timor-Leste) population including >300 individuals, we put special emphasis on the reconstruction of the initial settlement, in particular on the previously poorly resolved haplogroup P1, an indigenous lineage of the Southwest Pacific region. Our results suggest a colonization of southern Sahul (Australia) >37 kya, limited subsequent exchange, and a parallel incubation of initial settlers in northern Sahul (New Guinea) followed by westward migrations <28 kya. CONCLUSIONS The temporal proximity and possible coincidence of these latter dispersals, which encompassed autochthonous haplogroups, with the postulated "later" events of (South) East Asian origin pinpoints a highly dynamic migratory phase.
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Affiliation(s)
- Sibylle M Gomes
- Department of Biology, University of Aveiro, Campus de Santiago, Aveiro, Portugal.
| | - Martin Bodner
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
| | - Luis Souto
- Department of Biology, University of Aveiro, Campus de Santiago, Aveiro, Portugal.
- Cencifor Centro de Ciências Forenses, Coimbra, Portugal.
| | - Bettina Zimmermann
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
| | - Gabriela Huber
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
| | - Christina Strobl
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
| | - Alexander W Röck
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
| | - Alessandro Achilli
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", University of Pavia, Pavia, Italy.
- Dipartimento di Chimica, Biologia e Biotecnologie, University of Perugia, Perugia, Italy.
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", University of Pavia, Pavia, Italy.
| | - Antonio Torroni
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", University of Pavia, Pavia, Italy.
| | | | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Müllerstr. 44, 6020, Innsbruck, Austria.
- Penn State Eberly College of Science, University Park, PA, USA.
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26
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Just RS, Scheible MK, Fast SA, Sturk-Andreaggi K, Röck AW, Bush JM, Higginbotham JL, Peck MA, Ring JD, Huber GE, Xavier C, Strobl C, Lyons EA, Diegoli TM, Bodner M, Fendt L, Kralj P, Nagl S, Niederwieser D, Zimmermann B, Parson W, Irwin JA. Full mtGenome reference data: Development and characterization of 588 forensic-quality haplotypes representing three U.S. populations. Forensic Sci Int Genet 2015; 14:141-55. [DOI: 10.1016/j.fsigen.2014.09.021] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 09/08/2014] [Accepted: 09/26/2014] [Indexed: 11/26/2022]
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27
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Shi NN, Fan L, Yao YG, Peng MS, Zhang YP. Mitochondrial genomes of domestic animals need scrutiny. Mol Ecol 2014; 23:5393-7. [PMID: 25294192 DOI: 10.1111/mec.12955] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 09/22/2014] [Accepted: 10/03/2014] [Indexed: 12/25/2022]
Abstract
More than 1000 complete or near-complete mitochondrial DNA (mtDNA) sequences have been deposited in GenBank for eight common domestic animals (cattle, dog, goat, horse, pig, sheep, yak and chicken) and their close wild ancestors or relatives, as well. Nevertheless, few efforts have been performed to evaluate the sequence data quality. Herein, we conducted a phylogenetic survey of these complete or near-complete mtDNA sequences based on mtDNA haplogroup trees for the eight animals. We show that errors due to artificial recombination, surplus of mutations and phantom mutations do exist in 14.5% (194/1342) of mtDNA sequences and all of them should be treated with wide caution. We propose some caveats for future mtDNA studies of domestic animals.
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Affiliation(s)
- Ni-Ni Shi
- State Key Laboratory of Genetic Resources and Evolution, and Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650204, China
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28
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Questioning the prevalence and reliability of human mitochondrial DNA heteroplasmy from massively parallel sequencing data. Proc Natl Acad Sci U S A 2014; 111:E4546-7. [PMID: 25319266 DOI: 10.1073/pnas.1413478111] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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29
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Torrell H, Salas A, Abasolo N, Morén C, Garrabou G, Valero J, Alonso Y, Vilella E, Costas J, Martorell L. Mitochondrial DNA (mtDNA) variants in the European haplogroups HV, JT, and U do not have a major role in schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:607-17. [PMID: 25132006 DOI: 10.1002/ajmg.b.32264] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Accepted: 07/18/2014] [Indexed: 12/17/2022]
Abstract
It has been reported that certain genetic factors involved in schizophrenia could be located in the mitochondrial DNA (mtDNA). Therefore, we hypothesized that mtDNA mutations and/or variants would be present in schizophrenia patients and may be related to schizophrenia characteristics and mitochondrial function. This study was performed in three steps: (1) identification of pathogenic mutations and variants in 14 schizophrenia patients with an apparent maternal inheritance of the disease by sequencing the entire mtDNA; (2) case-control association study of 23 variants identified in step 1 (16 missense, 3 rRNA, and 4 tRNA variants) in 495 patients and 615 controls, and (3) analyses of the associated variants according to the clinical, psychopathological, and neuropsychological characteristics and according to the oxidative and enzymatic activities of the mitochondrial respiratory chain. We did not identify pathogenic mtDNA mutations in the 14 sequenced patients. Two known variants were nominally associated with schizophrenia and were further studied. The MT-RNR2 1811A > G variant likely does not play a major role in schizophrenia, as it was not associated with clinical, psychopathological, or neuropsychological variables, and the MT-ATP6 9110T > C p.Ile195Thr variant did not result in differences in the oxidative and enzymatic functions of the mitochondrial respiratory chain. The patients with apparent maternal inheritance of schizophrenia did not exhibit any mutations in their mtDNA. The variants nominally associated with schizophrenia in the present study were not related either to phenotypic characteristics or to mitochondrial function. We did not find evidence pointing to a role for mtDNA sequence variation in schizophrenia.
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Affiliation(s)
- Helena Torrell
- Hospital Universitari Institut Pere Mata. IISPV. Universitat Rovirai Virgili. CIBERSAM, Reus, Catalunya, Spain
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30
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Bodner M, Iuvaro A, Strobl C, Nagl S, Huber G, Pelotti S, Pettener D, Luiselli D, Parson W. Helena, the hidden beauty: Resolving the most common West Eurasian mtDNA control region haplotype by massively parallel sequencing an Italian population sample. Forensic Sci Int Genet 2014; 15:21-6. [PMID: 25303789 DOI: 10.1016/j.fsigen.2014.09.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 09/16/2014] [Indexed: 01/24/2023]
Abstract
The analysis of mitochondrial (mt)DNA is a powerful tool in forensic genetics when nuclear markers fail to give results or maternal relatedness is investigated. The mtDNA control region (CR) contains highly condensed variation and is therefore routinely typed. Some samples exhibit an identical haplotype in this restricted range. Thus, they convey only weak evidence in forensic queries and limited phylogenetic information. However, a CR match does not imply that also the mtDNA coding regions are identical or samples belong to the same phylogenetic lineage. This is especially the case for the most frequent West Eurasian CR haplotype 263G 315.1C 16519C, which is observed in various clades within haplogroup H and occurs at a frequency of 3-4% in many European populations. In this study, we investigated the power of massively parallel complete mtGenome sequencing in 29 Italian samples displaying the most common West Eurasian CR haplotype - and found an unexpected high diversity. Twenty-eight different haplotypes falling into 19 described sub-clades of haplogroup H were revealed in the samples with identical CR sequences. This study demonstrates the benefit of complete mtGenome sequencing for forensic applications to enforce maximum discrimination, more comprehensive heteroplasmy detection, as well as highest phylogenetic resolution.
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Affiliation(s)
- Martin Bodner
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Alessandra Iuvaro
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria; Department of Medical and Surgical Sciences, Institute of Legal Medicine, University of Bologna, Bologna, Italy
| | - Christina Strobl
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Simone Nagl
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Gabriela Huber
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Susi Pelotti
- Department of Medical and Surgical Sciences, Institute of Legal Medicine, University of Bologna, Bologna, Italy
| | - Davide Pettener
- Department of Biological, Geological and Environmental Science, Laboratory of Molecular Anthropology, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- Department of Biological, Geological and Environmental Science, Laboratory of Molecular Anthropology, University of Bologna, Bologna, Italy.
| | - Walther Parson
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria; Penn State Eberly College of Science, University Park, PA, USA.
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Zimmermann B, Rock AW, Dur A, Parson W. Improved visibility of character conflicts in quasi-median networks with the EMPOP NETWORK software. Croat Med J 2014; 55:115-20. [PMID: 24778097 PMCID: PMC4020147 DOI: 10.3325/cmj.2014.55.115] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Aim To provide a valuable tool for graphical representation of mitochondrial DNA (mtDNA) data that enables visual emphasis on complex substructures within the network to highlight possible ambiguities and errors. Method We applied the new NETWORK graphical user interface, available via EMPOP (European DNA Profiling Group Mitochondrial DNA Population Database; www.empop.org) by means of two mtDNA data sets that were submitted for quality control. Results The quasi-median network torsi of the two data sets resulted in complex reticulations, suggesting ambiguous data. To check the corresponding raw data, accountable nodes and connecting branches of the network could be identified by highlighting induced subgraphs with concurrent dimming of their complements. This is achieved by accentuating the relevant substructures in the network: mouse clicking on a node displays a list of all mtDNA haplotypes included in that node; the selection of a branch specifies the mutation(s) connecting two nodes. It is indicated to evaluate these mutations by means of the raw data. Conclusion Inspection of the raw data confirmed the presence of phantom mutations due to suboptimal electrophoresis conditions and data misinterpretation. The network software proved to be a powerful tool to highlight problematic data and guide quality control of mtDNA data tables.
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Affiliation(s)
| | | | | | - Walther Parson
- Walther Parson, Institute of Legal Medicine, Medical University, Mullerstrasse 44, A-6020 Innsbruck, Austria,
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32
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High-quality and high-throughput massively parallel sequencing of the human mitochondrial genome using the Illumina MiSeq. Forensic Sci Int Genet 2014; 12:128-35. [DOI: 10.1016/j.fsigen.2014.06.001] [Citation(s) in RCA: 136] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 05/29/2014] [Accepted: 06/01/2014] [Indexed: 12/21/2022]
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33
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Pardo-Seco J, Martinón-Torres F, Salas A. Evaluating the accuracy of AIM panels at quantifying genome ancestry. BMC Genomics 2014; 15:543. [PMID: 24981136 PMCID: PMC4101176 DOI: 10.1186/1471-2164-15-543] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 06/19/2014] [Indexed: 01/24/2023] Open
Abstract
Background There is a growing interest among geneticists in developing panels of Ancestry Informative Markers (AIMs) aimed at measuring the biogeographical ancestry of individual genomes. The efficiency of these panels is commonly tested empirically by contrasting self-reported ancestry with the ancestry estimated from these panels. Results Using SNP data from HapMap we carried out a simulation-based study aimed at measuring the effect of SNP coverage on the estimation of genome ancestry. For three of the main continental groups (Africans, East Asians, Europeans) ancestry was first estimated using the whole HapMap SNP database as a proxy for global genome ancestry; these estimates were subsequently compared to those obtained from pre-designed AIM panels. Panels that consider >400 AIMs capture genome ancestry reasonably well, while those containing a few dozen AIMs show a large variability in ancestry estimates. Curiously, 500-1,000 SNPs selected at random from the genome provide an unbiased estimate of genome ancestry and perform as well as any AIM panel of similar size. In simulated scenarios of population admixture, panels containing few AIMs also show important deficiencies to measure genome ancestry. Conclusions The results indicate that the ability to estimate genome ancestry is strongly dependent on the number of AIMs used, and not primarily on their individual informativeness. Caution should be taken when making individual (medical, forensic, or anthropological) inferences based on AIMs. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-543) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | - Antonio Salas
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, and Instituto de Ciencias Forenses, Grupo de Medicina Xenómica (GMX), Facultade de Medicina, Universidade de Santiago de Compostela, 15872 Santiago de Compostela, Galicia, Spain.
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34
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Massively parallel pyrosequencing of the mitochondrial genome with the 454 methodology in forensic genetics. Forensic Sci Int Genet 2014; 12:30-7. [PMID: 24879032 DOI: 10.1016/j.fsigen.2014.03.014] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2013] [Revised: 03/18/2014] [Accepted: 03/27/2014] [Indexed: 11/21/2022]
Abstract
RESULTS of sequencing of whole mitochondrial genome, HV1 and HV2 DNA with the second generation system (SGS) Roche 454 GS Junior were compared with results of Sanger sequencing and SNP typing with SNaPshot single base extension detected with MALDI-TOF and capillary electrophoresis. We investigated the performance of the software analysis of the data, reproducibility, ability to sequence homopolymeric regions, detection of mixtures and heteroplasmy as well as the implications of the depth of coverage. We found full reproducibility between samples sequenced twice with SGS. We found close to full concordance between the mtDNA sequences of 26 samples obtained with (1) the 454 SGS method using a depth of coverage above 100 and (2) Sanger sequencing and SNP typing. The discrepancies were primarily observed in homopolymeric regions. The 454 SGS method was able to sequence 95% of the reads correctly in homopolymers up to 4 bases, and up to 6 bases could be sequenced with similar success if the results were carefully, visually inspected. The 454 technology was able to detect mixtures or heteroplasmy of approximately 10%. We detected previously unreported heteroplasmy in the GM9947A component of the NIST human mitochondrial DNA SRM-2392 standard reference material.
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35
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Lyons EA, Scheible MK, Sturk-Andreaggi K, Irwin JA, Just RS. A high-throughput Sanger strategy for human mitochondrial genome sequencing. BMC Genomics 2013; 14:881. [PMID: 24341507 PMCID: PMC3878621 DOI: 10.1186/1471-2164-14-881] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Accepted: 11/19/2013] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND A population reference database of complete human mitochondrial genome (mtGenome) sequences is needed to enable the use of mitochondrial DNA (mtDNA) coding region data in forensic casework applications. However, the development of entire mtGenome haplotypes to forensic data quality standards is difficult and laborious. A Sanger-based amplification and sequencing strategy that is designed for automated processing, yet routinely produces high quality sequences, is needed to facilitate high-volume production of these mtGenome data sets. RESULTS We developed a robust 8-amplicon Sanger sequencing strategy that regularly produces complete, forensic-quality mtGenome haplotypes in the first pass of data generation. The protocol works equally well on samples representing diverse mtDNA haplogroups and DNA input quantities ranging from 50 pg to 1 ng, and can be applied to specimens of varying DNA quality. The complete workflow was specifically designed for implementation on robotic instrumentation, which increases throughput and reduces both the opportunities for error inherent to manual processing and the cost of generating full mtGenome sequences. CONCLUSIONS The described strategy will assist efforts to generate complete mtGenome haplotypes which meet the highest data quality expectations for forensic genetic and other applications. Additionally, high-quality data produced using this protocol can be used to assess mtDNA data developed using newer technologies and chemistries. Further, the amplification strategy can be used to enrich for mtDNA as a first step in sample preparation for targeted next-generation sequencing.
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Affiliation(s)
| | | | | | | | - Rebecca S Just
- American Registry of Pathology, 120A Old Camden Rd,, Camden DE 19934, USA.
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Parson W, Strobl C, Huber G, Zimmermann B, Gomes SM, Souto L, Fendt L, Delport R, Langit R, Wootton S, Lagacé R, Irwin J. Reprint of: Evaluation of next generation mtGenome sequencing using the Ion Torrent Personal Genome Machine (PGM). Forensic Sci Int Genet 2013; 7:632-639. [PMID: 24119954 DOI: 10.1016/j.fsigen.2013.09.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Insights into the human mitochondrial phylogeny have been primarily achieved by sequencing full mitochondrial genomes (mtGenomes). In forensic genetics (partial) mtGenome information can be used to assign haplotypes to their phylogenetic backgrounds, which may, in turn, have characteristic geographic distributions that would offer useful information in a forensic case. In addition and perhaps even more relevant in the forensic context, haplogroup-specific patterns of mutations form the basis for quality control of mtDNA sequences. The current method for establishing (partial) mtDNA haplotypes is Sanger-type sequencing (STS), which is laborious, time-consuming, and expensive. With the emergence of Next Generation Sequencing (NGS) technologies, the body of available mtDNA data can potentially be extended much more quickly and cost-efficiently. Customized chemistries, laboratory workflows and data analysis packages could support the community and increase the utility of mtDNA analysis in forensics. We have evaluated the performance of mtGenome sequencing using the Personal Genome Machine (PGM) and compared the resulting haplotypes directly with conventional Sanger-type sequencing. A total of 64mtGenomes (>1 million bases) were established that yielded high concordance with the corresponding STS haplotypes (<0.02% differences). About two-thirds of the differences were observed in or around homopolymeric sequence stretches. In addition, the sequence alignment algorithm employed to align NGS reads played a significant role in the analysis of the data and the resulting mtDNA haplotypes. Further development of alignment software would be desirable to facilitate the application of NGS in mtDNA forensic genetics.
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Affiliation(s)
- Walther Parson
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria; Penn State Eberly College of Science, University Park, PA, USA.
| | - Christina Strobl
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Gabriela Huber
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Bettina Zimmermann
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Sibylle M Gomes
- Department of Biology, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Luis Souto
- Department of Biology, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Liane Fendt
- Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria; Division of Human Genetics, Innsbruck Medical University, Innsbruck, Austria
| | - Rhena Delport
- Department of Chemical Pathology, School of Medicine, University of Pretoria, South Africa
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Roewer L. DNA fingerprinting in forensics: past, present, future. INVESTIGATIVE GENETICS 2013; 4:22. [PMID: 24245688 PMCID: PMC3831584 DOI: 10.1186/2041-2223-4-22] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Accepted: 10/08/2013] [Indexed: 11/29/2022]
Abstract
DNA fingerprinting, one of the great discoveries of the late 20th century, has revolutionized forensic investigations. This review briefly recapitulates 30 years of progress in forensic DNA analysis which helps to convict criminals, exonerate the wrongly accused, and identify victims of crime, disasters, and war. Current standard methods based on short tandem repeats (STRs) as well as lineage markers (Y chromosome, mitochondrial DNA) are covered and applications are illustrated by casework examples. Benefits and risks of expanding forensic DNA databases are discussed and we ask what the future holds for forensic DNA fingerprinting.
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Affiliation(s)
- Lutz Roewer
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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38
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Evaluation of next generation mtGenome sequencing using the Ion Torrent Personal Genome Machine (PGM). Forensic Sci Int Genet 2013; 7:543-9. [PMID: 23948325 PMCID: PMC3757157 DOI: 10.1016/j.fsigen.2013.06.003] [Citation(s) in RCA: 124] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Accepted: 06/07/2013] [Indexed: 12/15/2022]
Abstract
Insights into the human mitochondrial phylogeny have been primarily achieved by sequencing full mitochondrial genomes (mtGenomes). In forensic genetics (partial) mtGenome information can be used to assign haplotypes to their phylogenetic backgrounds, which may, in turn, have characteristic geographic distributions that would offer useful information in a forensic case. In addition and perhaps even more relevant in the forensic context, haplogroup-specific patterns of mutations form the basis for quality control of mtDNA sequences. The current method for establishing (partial) mtDNA haplotypes is Sanger-type sequencing (STS), which is laborious, time-consuming, and expensive. With the emergence of Next Generation Sequencing (NGS) technologies, the body of available mtDNA data can potentially be extended much more quickly and cost-efficiently. Customized chemistries, laboratory workflows and data analysis packages could support the community and increase the utility of mtDNA analysis in forensics. We have evaluated the performance of mtGenome sequencing using the Personal Genome Machine (PGM) and compared the resulting haplotypes directly with conventional Sanger-type sequencing. A total of 64 mtGenomes (>1 million bases) were established that yielded high concordance with the corresponding STS haplotypes (<0.02% differences). About two-thirds of the differences were observed in or around homopolymeric sequence stretches. In addition, the sequence alignment algorithm employed to align NGS reads played a significant role in the analysis of the data and the resulting mtDNA haplotypes. Further development of alignment software would be desirable to facilitate the application of NGS in mtDNA forensic genetics.
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39
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Castella V, Gervaix J, Hall D. DIP-STR: highly sensitive markers for the analysis of unbalanced genomic mixtures. Hum Mutat 2013; 34:644-54. [PMID: 23355272 PMCID: PMC3675636 DOI: 10.1002/humu.22280] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Accepted: 01/14/2013] [Indexed: 01/14/2023]
Abstract
Samples containing highly unbalanced DNA mixtures from two individuals commonly occur both in forensic mixed stains and in peripheral blood DNA microchimerism induced by pregnancy or following organ transplant. Because of PCR amplification bias, the genetic identification of a DNA that contributes trace amounts to a mixed sample represents a tremendous challenge. This means that standard genetic markers, namely microsatellites, also referred as short tandem repeats (STR), and single-nucleotide polymorphism (SNP) have limited power in addressing common questions of forensic and medical genetics. To address this issue, we developed a molecular marker, named DIP–STR that relies on pairing deletion–insertion polymorphisms (DIP) with STR. This novel analytical approach allows for the unambiguous genotyping of a minor component in the presence of a major component, where DIP–STR genotypes of the minor were successfully procured at ratios up to 1:1,000. The compound nature of this marker generates a high level of polymorphism that is suitable for identity testing. Here, we demonstrate the power of the DIP–STR approach on an initial set of nine markers surveyed in a Swiss population. Finally, we discuss the limitations and potential applications of our new system including preliminary tests on clinical samples and estimates of their performance on simulated DNA mixtures.
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Affiliation(s)
- Vincent Castella
- Unité de Génétique Forensique, Centre Universitaire Romand de Médecine Légale, Centre Hospitalier Universitaire Vaudois et Université de Lausanne, Lausanne, 1011, Switzerland
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Comprehensive next-generation sequence analyses of the entire mitochondrial genome reveal new insights into the molecular diagnosis of mitochondrial DNA disorders. Genet Med 2013; 15:388-94. [PMID: 23288206 DOI: 10.1038/gim.2012.144] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
PURPOSE The application of massively parallel sequencing technology to the analysis of the mitochondrial genome has demonstrated great improvement in the molecular diagnosis of mitochondrial DNA-related disorders. The objective of this study was to investigate the performance characteristics and to gain new insights into the analysis of the mitochondrial genome. METHODS The entire mitochondrial genome was analyzed as a single amplicon using a long-range PCR-based enrichment approach coupled with massively parallel sequencing. The interference of the nuclear mitochondrial DNA homologs was distinguished from the actual mitochondrial DNA sequences by comparison with the results obtained from conventional PCR-based Sanger sequencing using multiple pairs of primers. RESULTS Our results demonstrated the uniform coverage of the entire mitochondrial genome. Massively parallel sequencing of the single amplicon revealed the presence of single-nucleotide polymorphisms and nuclear homologs of mtDNA sequences that cause the erroneous and inaccurate variant calls when PCR/Sanger sequencing approach was used. This single amplicon massively parallel sequencing strategy provides an accurate quantification of mutation heteroplasmy as well as the detection and mapping of mitochondrial DNA deletions. CONCLUSION The ability to quantitatively and qualitatively evaluate every single base of the entire mitochondrial genome is indispensible to the accurate molecular diagnosis and genetic counseling of mitochondrial DNA-related disorders. This new approach may be considered as first-line testing for comprehensive analysis of the mitochondrial genome.Genet Med 2013:15(5):388-394.
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41
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Iglesias P, Salas A, Costoya JA. The maintenance of mitochondrial genetic stability is crucial during the oncogenic process. Commun Integr Biol 2012; 5:34-8. [PMID: 22482007 DOI: 10.4161/cib.18160] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
The main energetic resources of the cell are the mitochondria. As such, these organelles control a number of processes related to the life and death of the cell and also have a prominent function in the maintenance of tumor cells. In the last years, several authors have proposed an active role for mitochondria in tumorigenesis, more specifically concerning somatic mutations in mitochondrial DNA (mtDNA). Here, we wanted to evaluate this hypothesis based on the conclusions obtained in a model of gliomagenesis with elevated levels of ROS (reactive oxygen species), a toxic by-product of tumor metabolism. According to our findings, none of the mtDNA variants were found relevant to the tumoral process or suggest the involvement of mitochondria in tumorigenesis beyond the metabolic requirements of the tumoral cell. We conclude that there is not enough evidence to support the claim that mitochondrial instability holds any relevant role in the tumoral process.
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Forster M, Forster P, Elsharawy A, Hemmrich G, Kreck B, Wittig M, Thomsen I, Stade B, Barann M, Ellinghaus D, Petersen BS, May S, Melum E, Schilhabel MB, Keller A, Schreiber S, Rosenstiel P, Franke A. From next-generation sequencing alignments to accurate comparison and validation of single-nucleotide variants: the pibase software. Nucleic Acids Res 2012; 41:e16. [PMID: 22965131 PMCID: PMC3592472 DOI: 10.1093/nar/gks836] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Scientists working with single-nucleotide variants (SNVs), inferred by next-generation sequencing software, often need further information regarding true variants, artifacts and sequence coverage gaps. In clinical diagnostics, e.g. SNVs must usually be validated by visual inspection or several independent SNV-callers. We here demonstrate that 0.5-60% of relevant SNVs might not be detected due to coverage gaps, or might be misidentified. Even low error rates can overwhelm the true biological signal, especially in clinical diagnostics, in research comparing healthy with affected cells, in archaeogenetic dating or in forensics. For these reasons, we have developed a package called pibase, which is applicable to diploid and haploid genome, exome or targeted enrichment data. pibase extracts details on nucleotides from alignment files at user-specified coordinates and identifies reproducible genotypes, if present. In test cases pibase identifies genotypes at 99.98% specificity, 10-fold better than other tools. pibase also provides pair-wise comparisons between healthy and affected cells using nucleotide signals (10-fold more accurately than a genotype-based approach, as we show in our case study of monozygotic twins). This comparison tool also solves the problem of detecting allelic imbalance within heterozygous SNVs in copy number variation loci, or in heterogeneous tumor sequences.
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Affiliation(s)
- Michael Forster
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, D-24105 Kiel, Germany.
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Irwin J, Just R, Scheible M, Loreille O. Assessing the potential of next generation sequencing technologies for missing persons identification efforts. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2011. [DOI: 10.1016/j.fsigss.2011.09.085] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Berglund EC, Kiialainen A, Syvänen AC. Next-generation sequencing technologies and applications for human genetic history and forensics. INVESTIGATIVE GENETICS 2011; 2:23. [PMID: 22115430 PMCID: PMC3267688 DOI: 10.1186/2041-2223-2-23] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Accepted: 11/24/2011] [Indexed: 12/24/2022]
Abstract
Rapid advances in the development of sequencing technologies in recent years have enabled an increasing number of applications in biology and medicine. Here, we review key technical aspects of the preparation of DNA templates for sequencing, the biochemical reaction principles and assay formats underlying next-generation sequencing systems, methods for imaging and base calling, quality control, and bioinformatic approaches for sequence alignment, variant calling and assembly. We also discuss some of the most important advances that the new sequencing technologies have brought to the fields of human population genetics, human genetic history and forensic genetics.
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Affiliation(s)
- Eva C Berglund
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Anna Kiialainen
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
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A statistical framework for the interpretation of mtDNA mixtures: forensic and medical applications. PLoS One 2011; 6:e26723. [PMID: 22053205 PMCID: PMC3203886 DOI: 10.1371/journal.pone.0026723] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2011] [Accepted: 10/02/2011] [Indexed: 11/19/2022] Open
Abstract
Background Mitochondrial DNA (mtDNA) variation is commonly analyzed in a wide range of different biomedical applications. Cases where more than one individual contribute to a stain genotyped from some biological material give rise to a mixture. Most forensic mixture cases are analyzed using autosomal markers. In rape cases, Y-chromosome markers typically add useful information. However, there are important cases where autosomal and Y-chromosome markers fail to provide useful profiles. In some instances, usually involving small amounts or degraded DNA, mtDNA may be the only useful genetic evidence available. Mitochondrial DNA mixtures also arise in studies dealing with the role of mtDNA variation in tumorigenesis. Such mixtures may be generated by the tumor, but they could also originate in vitro due to inadvertent contamination or a sample mix-up. Methods/Principal Findings We present the statistical methods needed for mixture interpretation and emphasize the modifications required for the more well-known methods based on conventional markers to generalize to mtDNA mixtures. Two scenarios are considered. Firstly, only categorical mtDNA data is assumed available, that is, the variants contributing to the mixture. Secondly, quantitative data (peak heights or areas) on the allelic variants are also accessible. In cases where quantitative information is available in addition to allele designation, it is possible to extract more precise information by using regression models. More precisely, using quantitative information may lead to a unique solution in cases where the qualitative approach points to several possibilities. Importantly, these methods also apply to clinical cases where contamination is a potential alternative explanation for the data. Conclusions/Significance We argue that clinical and forensic scientists should give greater consideration to mtDNA for mixture interpretation. The results and examples show that the analysis of mtDNA mixtures contributes substantially to forensic casework and may also clarify erroneous claims made in clinical genetics regarding tumorigenesis.
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