1
|
Dutour O. The paleopathology and paleoepidemiology of Upper paleolithic tuberculosis: Review of evidence and hypotheses. Tuberculosis (Edinb) 2023; 143S:102348. [PMID: 38012915 DOI: 10.1016/j.tube.2023.102348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 05/02/2023] [Indexed: 11/29/2023]
Abstract
Molecular phylogeny work has shown that tuberculosis is ancient human-adapted infection predating the Neolithic period. They also show that the Upper Paleolithic is a key period of emergence of the MTB complex strains, contemporary with the exit of modern man from Africa. Despite the richness of Upper Paleolithic sites in Eurasia and the relative abundance of human remains, the only proven case of Paleolithic tuberculosis has been described so far date from the Azilian, a culture of the European Final Paleolithic, which is more recent than the ancient Neolithic sites of the Near East, area that currently hold the record for the oldest paleopathological evidence of tuberculosis. The purpose of this review is to present evidence for the existence of tuberculosis in the Paleolithic and to list hypotheses explaining the weak demonstrative contribution of paleopathology for pre-Neolithic periods.
Collapse
Affiliation(s)
- Olivier Dutour
- Ecole Pratique des Haute Etudes, PSL University Paris, France; UMR 5199 PACEA (Université de Bordeaux-Centre National de la Recherche Scientifique), France.
| |
Collapse
|
2
|
Rifkin RF, Vikram S, Alcorta J, Ramond JB, Cowan DA, Jakobsson M, Schlebusch CM, Lombard M. Rickettsia felis DNA recovered from a child who lived in southern Africa 2000 years ago. Commun Biol 2023; 6:240. [PMID: 36869137 PMCID: PMC9984395 DOI: 10.1038/s42003-023-04582-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
The Stone Age record of South Africa provides some of the earliest evidence for the biological and cultural origins of Homo sapiens. While there is extensive genomic evidence for the selection of polymorphisms in response to pathogen-pressure in sub-Saharan Africa, e.g., the sickle cell trait which provides protection against malaria, there is inadequate direct human genomic evidence for ancient human-pathogen infection in the region. Here, we analysed shotgun metagenome libraries derived from the sequencing of a Later Stone Age hunter-gatherer child who lived near Ballito Bay, South Africa, c. 2000 years ago. This resulted in the identification of ancient DNA sequence reads homologous to Rickettsia felis, the causative agent of typhus-like flea-borne rickettsioses, and the reconstruction of an ancient R. felis genome.
Collapse
Affiliation(s)
- Riaan F Rifkin
- Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Hatfield, South Africa.
- Department of Anthropology and Geography, Human Origins and Palaeoenvironmental Research Group, Oxford Brookes University, Oxford, UK.
| | - Surendra Vikram
- Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Hatfield, South Africa
| | - Jaime Alcorta
- Department of Molecular Genetics and Microbiology, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jean-Baptiste Ramond
- Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Hatfield, South Africa
- Department of Anthropology and Geography, Human Origins and Palaeoenvironmental Research Group, Oxford Brookes University, Oxford, UK
- Department of Molecular Genetics and Microbiology, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Don A Cowan
- Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Hatfield, South Africa
| | - Mattias Jakobsson
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
- SciLifeLab, Uppsala, Sweden
| | - Carina M Schlebusch
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
- SciLifeLab, Uppsala, Sweden
| | - Marlize Lombard
- Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.
| |
Collapse
|
3
|
Schott BH, Wang L, Zhu X, Harding AT, Ko ER, Bourgeois JS, Washington EJ, Burke TW, Anderson J, Bergstrom E, Gardener Z, Paterson S, Brennan RG, Chiu C, McClain MT, Woods CW, Gregory SG, Heaton NS, Ko DC. Single-cell genome-wide association reveals that a nonsynonymous variant in ERAP1 confers increased susceptibility to influenza virus. CELL GENOMICS 2022; 2:100207. [PMID: 36465279 PMCID: PMC9718543 DOI: 10.1016/j.xgen.2022.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/26/2022] [Accepted: 10/07/2022] [Indexed: 06/17/2023]
Abstract
During pandemics, individuals exhibit differences in risk and clinical outcomes. Here, we developed single-cell high-throughput human in vitro susceptibility testing (scHi-HOST), a method for rapidly identifying genetic variants that confer resistance and susceptibility. We applied this method to influenza A virus (IAV), the cause of four pandemics since the start of the 20th century. scHi-HOST leverages single-cell RNA sequencing (scRNA-seq) to simultaneously assign genetic identity to cells in mixed infections of cell lines of European, African, and Asian origin, reveal associated genetic variants for viral burden, and identify expression quantitative trait loci. Integration of scHi-HOST with human challenge and experimental validation demonstrated that a missense variant in endoplasmic reticulum aminopeptidase 1 (ERAP1; rs27895) increased IAV burden in cells and human volunteers. rs27895 exhibits population differentiation, likely contributing to greater permissivity of cells from African populations to IAV. scHi-HOST is a broadly applicable method and resource for decoding infectious-disease genetics.
Collapse
Affiliation(s)
- Benjamin H Schott
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
- Duke University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
- These authors contributed equally
| | - Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
- These authors contributed equally
| | - Xinyu Zhu
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
| | - Alfred T Harding
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
| | - Emily R Ko
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Hospital Medicine, Division of General Internal Medicine, Department of Medicine, Duke Regional Hospital, Durham, NC 27705, USA
| | - Jeffrey S Bourgeois
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
- Duke University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
| | - Erica J Washington
- Department of Biochemistry, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Thomas W Burke
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Jack Anderson
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Emma Bergstrom
- Section of Infectious Diseases and Immunity, Imperial College London, London, W12 0NN, UK
| | - Zoe Gardener
- Section of Infectious Diseases and Immunity, Imperial College London, London, W12 0NN, UK
| | - Suzanna Paterson
- Section of Infectious Diseases and Immunity, Imperial College London, London, W12 0NN, UK
| | - Richard G Brennan
- Department of Biochemistry, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Christopher Chiu
- Section of Infectious Diseases and Immunity, Imperial College London, London, W12 0NN, UK
| | - Micah T McClain
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Christopher W Woods
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Simon G Gregory
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0048B CARL Building Box 3053, 213 Research Drive, Durham, NC 27710, USA
- Duke University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
- Lead contact
| |
Collapse
|
4
|
Staller E, Sheppard CM, Baillon L, Frise R, Peacock TP, Sancho-Shimizu V, Barclay WS. A natural variant in ANP32B impairs influenza virus replication in human cells. J Gen Virol 2021; 102. [PMID: 34524075 PMCID: PMC8567425 DOI: 10.1099/jgv.0.001664] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Viruses require host factors to support their replication, and genetic variation in such factors can affect susceptibility to infectious disease. Influenza virus replication in human cells relies on ANP32 proteins, which are involved in assembly of replication-competent dimeric influenza virus polymerase (FluPol) complexes. Here, we investigate naturally occurring single nucleotide variants (SNV) in the human Anp32A and Anp32B genes. We note that variant rs182096718 in Anp32B is found at a higher frequency than other variants in either gene. This SNV results in a D130A substitution in ANP32B, which is less able to support FluPol activity than wild-type ANP32B and binds FluPol with lower affinity. Interestingly, ANP32B-D130A exerts a dominant negative effect over wild-type ANP32B and interferes with the functionally redundant paralogue ANP32A. FluPol activity and virus replication are attenuated in CRISPR-edited cells expressing wild-type ANP32A and mutant ANP32B-D130A. We propose a model in which the D130A mutation impairs FluPol dimer formation, thus resulting in compromised replication. We suggest that both homozygous and heterozygous carriers of rs182096718 may have some genetic protection against influenza viruses.
Collapse
Affiliation(s)
- Ecco Staller
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK.,Present address: Sir William Dunn School of Pathology, University of Oxford, Oxford, UK
| | - Carol M Sheppard
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK
| | - Laury Baillon
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK
| | - Rebecca Frise
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK
| | - Thomas P Peacock
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK
| | | | - Wendy S Barclay
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, UK
| |
Collapse
|
5
|
Mohammed FS, Farooqi YN, Mohammed S. The Interferon-Induced Transmembrane Protein 3 -rs12252 Allele May Predict COVID-19 Severity Among Ethnic Minorities. Front Genet 2021; 12:692254. [PMID: 34434219 PMCID: PMC8380955 DOI: 10.3389/fgene.2021.692254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/15/2021] [Indexed: 12/30/2022] Open
Affiliation(s)
- Fahad S Mohammed
- Trinity College of Arts and Sciences, Duke University, Durham, NC, United States
| | | | - Suneel Mohammed
- Department of Medicine, Carolinas HealthCare System - Blue Ridge, Morganton, NC, United States
| |
Collapse
|
6
|
Jelinek HF, Mousa M, Alefishat E, Osman W, Spence I, Bu D, Feng SF, Byrd J, Magni PA, Sahibzada S, Tay GK, Alsafar HS. Evolution, Ecology, and Zoonotic Transmission of Betacoronaviruses: A Review. Front Vet Sci 2021; 8:644414. [PMID: 34095271 PMCID: PMC8173069 DOI: 10.3389/fvets.2021.644414] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/25/2021] [Indexed: 12/18/2022] Open
Abstract
Coronavirus infections have been a part of the animal kingdom for millennia. The difference emerging in the twenty-first century is that a greater number of novel coronaviruses are being discovered primarily due to more advanced technology and that a greater number can be transmitted to humans, either directly or via an intermediate host. This has a range of effects from annual infections that are mild to full-blown pandemics. This review compares the zoonotic potential and relationship between MERS, SARS-CoV, and SARS-CoV-2. The role of bats as possible host species and possible intermediate hosts including pangolins, civets, mink, birds, and other mammals are discussed with reference to mutations of the viral genome affecting zoonosis. Ecological, social, cultural, and environmental factors that may play a role in zoonotic transmission are considered with reference to SARS-CoV, MERS, and SARS-CoV-2 and possible future zoonotic events.
Collapse
Affiliation(s)
- Herbert F. Jelinek
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Center of Heath Engineering Innovation, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Mira Mousa
- Nuffield Department of Women's and Reproduction Health, Oxford University, Oxford, United Kingdom
| | - Eman Alefishat
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Pharmacology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
| | - Wael Osman
- Department of Chemistry, College of Arts and Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ian Spence
- Discipline of Pharmacology, University of Sydney, Sydney, NSW, Australia
| | - Dengpan Bu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Samuel F. Feng
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Mathematics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Jason Byrd
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
| | - Paola A. Magni
- Discipline of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
- Murdoch University Singapore, King's Centre, Singapore, Singapore
| | - Shafi Sahibzada
- Antimicrobial Resistance and Infectious Diseases Laboratory, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, Australia
| | - Guan K. Tay
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Division of Psychiatry, Faculty of Health and Medical Sciences, The University of Western Australia, Crawley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Habiba S. Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Genetics and Molecular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| |
Collapse
|
7
|
Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, Ingham A, McClain MT, Tsalik EL, Ko ER, Ginsburg GS, DeLong MR, Shen X, Woods CW, Hauser ER, Ko DC. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. Genome Med 2021; 13:83. [PMID: 34001247 PMCID: PMC8127495 DOI: 10.1186/s13073-021-00904-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/05/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation to pathophysiology remains an important challenge. Methods are needed to systematically bridge this crucial gap to facilitate experimental testing of hypotheses and translation to clinical utility. RESULTS Here, we leveraged cross-phenotype associations to identify traits with shared genetic architecture, using linkage disequilibrium (LD) information to accurately capture shared SNPs by proxy, and calculate significance of enrichment. This shared genetic architecture was examined across differing biological scales through incorporating data from catalogs of clinical, cellular, and molecular GWAS. We have created an interactive web database (interactive Cross-Phenotype Analysis of GWAS database (iCPAGdb)) to facilitate exploration and allow rapid analysis of user-uploaded GWAS summary statistics. This database revealed well-known relationships among phenotypes, as well as the generation of novel hypotheses to explain the pathophysiology of common diseases. Application of iCPAGdb to a recent GWAS of severe COVID-19 demonstrated unexpected overlap of GWAS signals between COVID-19 and human diseases, including with idiopathic pulmonary fibrosis driven by the DPP9 locus. Transcriptomics from peripheral blood of COVID-19 patients demonstrated that DPP9 was induced in SARS-CoV-2 compared to healthy controls or those with bacterial infection. Further investigation of cross-phenotype SNPs associated with both severe COVID-19 and other human traits demonstrated colocalization of the GWAS signal at the ABO locus with plasma protein levels of a reported receptor of SARS-CoV-2, CD209 (DC-SIGN). This finding points to a possible mechanism whereby glycosylation of CD209 by ABO may regulate COVID-19 disease severity. CONCLUSIONS Thus, connecting genetically related traits across phenotypic scales links human diseases to molecular and cellular measurements that can reveal mechanisms and lead to novel biomarkers and therapeutic approaches. The iCPAGdb web portal is accessible at http://cpag.oit.duke.edu and the software code at https://github.com/tbalmat/iCPAGdb .
Collapse
Affiliation(s)
- Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
| | - Thomas J Balmat
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Alejandro L Antonia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
| | - Florica J Constantine
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Ricardo Henao
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Thomas W Burke
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Andy Ingham
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Micah T McClain
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Ephraim L Tsalik
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Emily R Ko
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Department of Hospital Medicine, Duke Regional Hospital, Durham, NC, 27705, USA
| | - Geoffrey S Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Mark R DeLong
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Xiling Shen
- Department of Biomedical Engineering, Woo Center for Big Data and Precision Health, Duke University, Durham, NC, 27710, USA
| | - Christopher W Woods
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, 27710, USA
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, 27705, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA.
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.
| |
Collapse
|
8
|
Genetic factors affect the susceptibility to bacterial infections in diabetes. Sci Rep 2021; 11:9464. [PMID: 33947878 PMCID: PMC8096814 DOI: 10.1038/s41598-021-88273-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/23/2021] [Indexed: 11/17/2022] Open
Abstract
Diabetes increases the risk of bacterial infections. We investigated whether common genetic variants associate with infection susceptibility in Finnish diabetic individuals. We performed genome-wide association studies and pathway analysis for bacterial infection frequency in Finnish adult diabetic individuals (FinnDiane Study; N = 5092, Diabetes Registry Vaasa; N = 4247) using national register data on antibiotic prescription purchases. Replication analyses were performed in a Swedish diabetic population (ANDIS; N = 9602) and in a Finnish non-diabetic population (FinnGen; N = 159,166). Genome-wide data indicated moderate but significant narrow-sense heritability for infection susceptibility (h2 = 16%, P = 0.02). Variants on chromosome 2 were associated with reduced infection susceptibility (rs62192851, P = 2.23 × 10–7). Homozygotic carriers of the rs62192851 effect allele (N = 44) had a 37% lower median annual antibiotic purchase rate, compared to homozygotic carriers of the reference allele (N = 4231): 0.38 [IQR 0.22–0.90] and 0.60 [0.30–1.20] respectively, P = 0.01). Variants rs6727834 and rs10188087, in linkage disequilibrium with rs62192851, replicated in the FinnGen-cohort (P < 0.05), but no variants replicated in the ANDIS-cohort. Pathway analysis suggested the IRAK1 mediated NF-κB activation through IKK complex recruitment-pathway to be a mediator of the phenotype. Common genetic variants on chromosome 2 may associate with reduced risk of bacterial infections in Finnish individuals with diabetes.
Collapse
|
9
|
Antelo GT, Vila AJ, Giedroc DP, Capdevila DA. Molecular Evolution of Transition Metal Bioavailability at the Host-Pathogen Interface. Trends Microbiol 2021; 29:441-457. [PMID: 32951986 PMCID: PMC7969482 DOI: 10.1016/j.tim.2020.08.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/01/2020] [Accepted: 08/19/2020] [Indexed: 12/21/2022]
Abstract
The molecular evolution of the adaptive response at the host-pathogen interface has been frequently referred to as an 'arms race' between the host and bacterial pathogens. The innate immune system employs multiple strategies to starve microbes of metals. Pathogens, in turn, develop successful strategies to maintain access to bioavailable metal ions under conditions of extreme restriction of transition metals, or nutritional immunity. However, the processes by which evolution repurposes or re-engineers host and pathogen proteins to perform or refine new functions have been explored only recently. Here we review the molecular evolution of several human metalloproteins charged with restricting bacterial access to transition metals. These include the transition metal-chelating S100 proteins, natural resistance-associated macrophage protein-1 (NRAMP-1), transferrin, lactoferrin, and heme-binding proteins. We examine their coevolution with bacterial transition metal acquisition systems, involving siderophores and membrane-spanning metal importers, and the biological specificity of allosteric transcriptional regulatory proteins tasked with maintaining bacterial metallostasis. We also discuss the evolution of metallo-β-lactamases; this illustrates how rapid antibiotic-mediated evolution of a zinc metalloenzyme obligatorily occurs in the context of host-imposed nutritional immunity.
Collapse
Affiliation(s)
- Giuliano T Antelo
- Fundación Instituto Leloir, Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA-CONICET), C1405BWE Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Alejandro J Vila
- Instituto de Biología Molecular y Celular de Rosario (IBR, CONICET-UNR), Ocampo and Esmeralda, S2002LRK Rosario, Argentina; Área Biofísica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, S2002LRK Rosario, Argentina
| | - David P Giedroc
- Department of Chemistry, Indiana University, Bloomington, IN 47405, USA; Department of Molecular and Cellular Biochemistry, Indiana University, Bloomington, IN 47405, USA.
| | - Daiana A Capdevila
- Fundación Instituto Leloir, Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA-CONICET), C1405BWE Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
| |
Collapse
|
10
|
Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, Ingham A, McClain MT, Tsalik EL, Ko ER, Ginsburg GS, DeLong MR, Shen X, Woods CW, Hauser ER, Ko DC. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.12.20.20248572. [PMID: 33398303 PMCID: PMC7781346 DOI: 10.1101/2020.12.20.20248572] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation to pathophysiology remains an important challenge. Methods are needed to systematically bridge this crucial gap to facilitate experimental testing of hypotheses and translation to clinical utility. Here, we leveraged cross-phenotype associations to identify traits with shared genetic architecture, using linkage disequilibrium (LD) information to accurately capture shared SNPs by proxy, and calculate significance of enrichment. This shared genetic architecture was examined across differing biological scales through incorporating data from catalogs of clinical, cellular, and molecular GWAS. We have created an interactive web database (interactive Cross-Phenotype Analysis of GWAS database (iCPAGdb); http://cpag.oit.duke.edu) to facilitate exploration and allow rapid analysis of user-uploaded GWAS summary statistics. This database revealed well-known relationships among phenotypes, as well as the generation of novel hypotheses to explain the pathophysiology of common diseases. Application of iCPAGdb to a recent GWAS of severe COVID-19 demonstrated unexpected overlap of GWAS signals between COVID-19 and human diseases, including with idiopathic pulmonary fibrosis driven by the DPP9 locus. Transcriptomics from peripheral blood of COVID-19 patients demonstrated that DPP9 was induced in SARS-CoV-2 compared to healthy controls or those with bacterial infection. Further investigation of cross-phenotype SNPs with severe COVID-19 demonstrated colocalization of the GWAS signal of the ABO locus with plasma protein levels of a reported receptor of SARS-CoV-2, CD209 (DC-SIGN), pointing to a possible mechanism whereby glycosylation of CD209 by ABO may regulate COVID-19 disease severity. Thus, connecting genetically related traits across phenotypic scales links human diseases to molecular and cellular measurements that can reveal mechanisms and lead to novel biomarkers and therapeutic approaches.
Collapse
Affiliation(s)
- Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | | | - Alejandro L. Antonia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Florica J. Constantine
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Ricardo Henao
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Thomas W. Burke
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Andy Ingham
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Micah T. McClain
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Ephraim L. Tsalik
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Emily R. Ko
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Department of Hospital Medicine, Duke Regional Hospital, Durham, NC, 27705, USA
| | - Geoffrey S. Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Mark R. DeLong
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Xiling Shen
- Department of Biomedical Engineering, Woo Center for Big Data and Precision Health, Duke University, Durham, NC 27710, USA
| | - Christopher W. Woods
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University Medical Center Durham, NC 27710, USA
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC 27705, USA
| | - Dennis C. Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
- Lead contact
| |
Collapse
|
11
|
Menshawey R, Menshawey E, Alserr AHK, Abdelmassih AF. Low iron mitigates viral survival: insights from evolution, genetics, and pandemics-a review of current hypothesis. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020; 21:75. [PMID: 38624521 PMCID: PMC7738201 DOI: 10.1186/s43042-020-00114-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/20/2020] [Indexed: 12/21/2022] Open
Abstract
Background Upon re-examination of our human history, evolutionary perspectives, and genetics, a prevailing iron deficiency phenotype appears to have evolved to protect the human race from extinction. Body In this review, we summarize the evolutionary and genetic perspectives pointing towards the hypothesis that low iron mitigates infection. The presence of infection promotes the generation of resistance alleles, and there are some evolutionary and genetic clues that suggest the presence of an iron deficiency phenotype that may have developed to protect against infection. Examples include the relative paucity of iron overload genes given the essential role of iron, as well as the persistence of iron deficiency among populations in spite of public health efforts to treat it. Additional examination of geographic areas with severe iron deficiency in the setting of pandemics including H1N1, SARS, and COVID-19 reveals that areas with higher prevalence of iron deficiency are less affected. RNA viruses have several evolutionary adaptations which suggest their absolute need for iron, and this dependency may be exploited during treatment. Conclusion RNA viruses pose a unique challenge to modern healthcare, with an average of 2-3 new pathogens being discovered yearly. Their overarching requirements for iron, along with human evolutionary and genetic adaptations which favored an iron deficiency phenotype, ultimately suggest the potential need for iron control in these infections.
Collapse
Affiliation(s)
- Rahma Menshawey
- Faculty of Medicine, Kasr al Ainy, Cairo University, Geziret Elroda, Manial, Cairo, 11562 Egypt
| | - Esraa Menshawey
- Faculty of Medicine, Kasr al Ainy, Cairo University, Geziret Elroda, Manial, Cairo, 11562 Egypt
| | | | | |
Collapse
|
12
|
Barquera R, Zuniga J, Flores-Rivera J, Corona T, Penman BS, Hernández-Zaragoza DI, Soler M, Jonapá-Gómez L, Mallempati KC, Yescas P, Ochoa-Morales A, Barsakis K, Aguilar-Vázquez JA, García-Lechuga M, Mindrinos M, Yunis M, Jiménez-Alvarez L, Mena-Hernández L, Ortega E, Cruz-Lagunas A, Tovar-Méndez VH, Granados J, Fernández-Viña M, Yunis E. Diversity of HLA Class I and Class II blocks and conserved extended haplotypes in Lacandon Mayans. Sci Rep 2020; 10:3248. [PMID: 32094421 PMCID: PMC7039995 DOI: 10.1038/s41598-020-58897-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 01/22/2020] [Indexed: 12/18/2022] Open
Abstract
Here we studied HLA blocks and haplotypes in a group of 218 Lacandon Maya Native American using a high-resolution next generation sequencing (NGS) method. We assessed the genetic diversity of HLA class I and class II in this population, and determined the most probable ancestry of Lacandon Maya HLA class I and class II haplotypes. Importantly, this Native American group showed a high degree of both HLA homozygosity and linkage disequilibrium across the HLA region and also lower class II HLA allelic diversity than most previously reported populations (including other Native American groups). Distinctive alleles present in the Lacandon population include HLA-A*24:14 and HLA-B*40:08. Furthermore, in Lacandons we observed a high frequency of haplotypes containing the allele HLA-DRB1*04:11, a relatively frequent allele in comparison with other neighboring indigenous groups. The specific demographic history of the Lacandon population including inbreeding, as well as pathogen selection, may have elevated the frequencies of a small number of HLA class II alleles and DNA blocks. To assess the possible role of different selective pressures in determining Native American HLA diversity, we evaluated the relationship between genetic diversity at HLA-A, HLA-B and HLA-DRB1 and pathogen richness for a global dataset and for Native American populations alone. In keeping with previous studies of such relationships we included distance from Africa as a covariate. After correction for multiple comparisons we did not find any significant relationship between pathogen diversity and HLA genetic diversity (as measured by polymorphism information content) in either our global dataset or the Native American subset of the dataset. We found the expected negative relationship between genetic diversity and distance from Africa in the global dataset, but no relationship between HLA genetic diversity and distance from Africa when Native American populations were considered alone.
Collapse
Affiliation(s)
- Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany
- Laboratory of Molecular Genetics, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Joaquin Zuniga
- Department of Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER), Mexico City, Mexico
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - José Flores-Rivera
- Clinical Laboratory of Neurodegenerative Diseases, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico
| | - Teresa Corona
- Clinical Laboratory of Neurodegenerative Diseases, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico
| | - Bridget S Penman
- University of Warwick, School of Life Sciences, Coventry, United Kingdom
| | - Diana Iraíz Hernández-Zaragoza
- Laboratory of Molecular Genetics, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
- Immunogenetics Unit, Técnicas Genéticas Aplicadas a la Clínica (TGAC), Mexico City, Mexico
| | - Manuel Soler
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMSZ), Mexico City, Mexico
| | | | - Kalyan C Mallempati
- Histocompatibility, Immunogenetics and Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA
- Biology Department, University of Crete, Heraklion, Greece
| | - Petra Yescas
- Department of Neurogenetics and Molecular Biology, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico
| | - Adriana Ochoa-Morales
- Department of Neurogenetics and Molecular Biology, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico
| | - Konstantinos Barsakis
- Histocompatibility, Immunogenetics and Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA
- Department of Pathology, Stanford University, CA, USA
| | - José Artemio Aguilar-Vázquez
- Clinical Analysis Laboratory, Unidad Médica Familiar (UMF) No. 23, Instituto Mexicano del Seguro Social (IMSS), Tuxtla Gutiérrez, Chiapas, Mexico
| | - Maricela García-Lechuga
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMSZ), Mexico City, Mexico
| | | | - María Yunis
- Department of Cancer Immunology and Virology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Luis Jiménez-Alvarez
- Department of Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER), Mexico City, Mexico
| | - Lourdes Mena-Hernández
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMSZ), Mexico City, Mexico
| | - Esteban Ortega
- The William Harvey Research Institute, Barts and London School of Medicine, Queen Mary University of London, London, United Kingdom
| | - Alfredo Cruz-Lagunas
- Department of Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER), Mexico City, Mexico
| | - Víctor Hugo Tovar-Méndez
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMSZ), Mexico City, Mexico
| | - Julio Granados
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMSZ), Mexico City, Mexico.
| | | | - Edmond Yunis
- Department of Cancer Immunology and Virology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
13
|
Näpflin K, O’Connor EA, Becks L, Bensch S, Ellis VA, Hafer-Hahmann N, Harding KC, Lindén SK, Olsen MT, Roved J, Sackton TB, Shultz AJ, Venkatakrishnan V, Videvall E, Westerdahl H, Winternitz JC, Edwards SV. Genomics of host-pathogen interactions: challenges and opportunities across ecological and spatiotemporal scales. PeerJ 2019; 7:e8013. [PMID: 31720122 PMCID: PMC6839515 DOI: 10.7717/peerj.8013] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 10/08/2019] [Indexed: 12/13/2022] Open
Abstract
Evolutionary genomics has recently entered a new era in the study of host-pathogen interactions. A variety of novel genomic techniques has transformed the identification, detection and classification of both hosts and pathogens, allowing a greater resolution that helps decipher their underlying dynamics and provides novel insights into their environmental context. Nevertheless, many challenges to a general understanding of host-pathogen interactions remain, in particular in the synthesis and integration of concepts and findings across a variety of systems and different spatiotemporal and ecological scales. In this perspective we aim to highlight some of the commonalities and complexities across diverse studies of host-pathogen interactions, with a focus on ecological, spatiotemporal variation, and the choice of genomic methods used. We performed a quantitative review of recent literature to investigate links, patterns and potential tradeoffs between the complexity of genomic, ecological and spatiotemporal scales undertaken in individual host-pathogen studies. We found that the majority of studies used whole genome resolution to address their research objectives across a broad range of ecological scales, especially when focusing on the pathogen side of the interaction. Nevertheless, genomic studies conducted in a complex spatiotemporal context are currently rare in the literature. Because processes of host-pathogen interactions can be understood at multiple scales, from molecular-, cellular-, and physiological-scales to the levels of populations and ecosystems, we conclude that a major obstacle for synthesis across diverse host-pathogen systems is that data are collected on widely diverging scales with different degrees of resolution. This disparity not only hampers effective infrastructural organization of the data but also data granularity and accessibility. Comprehensive metadata deposited in association with genomic data in easily accessible databases will allow greater inference across systems in the future, especially when combined with open data standards and practices. The standardization and comparability of such data will facilitate early detection of emerging infectious diseases as well as studies of the impact of anthropogenic stressors, such as climate change, on disease dynamics in humans and wildlife.
Collapse
Affiliation(s)
- Kathrin Näpflin
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, MA, United States of America
| | - Emily A. O’Connor
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
| | - Lutz Becks
- Aquatic Ecology and Evolution, Limnological Institute University Konstanz, Konstanz, Germany
| | - Staffan Bensch
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
| | - Vincenzo A. Ellis
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
| | - Nina Hafer-Hahmann
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Karin C. Harding
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Centre for Advanced Studies in Science and Technology, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
| | - Sara K. Lindén
- Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Morten T. Olsen
- Section for Evolutionary Genomics, Natural History Museum of Denmark, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jacob Roved
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
| | - Timothy B. Sackton
- Informatics Group, Harvard University, Cambridge, MA, United States of America
| | - Allison J. Shultz
- Ornithology Department, Natural History Museum of Los Angeles County, Los Angeles, CA, United States of America
| | - Vignesh Venkatakrishnan
- Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Elin Videvall
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, United States of America
| | - Helena Westerdahl
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Lund, Sweden
| | - Jamie C. Winternitz
- Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Department of Animal Behaviour, Bielefeld University, Bielefeld, Germany
| | - Scott V. Edwards
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, MA, United States of America
- Gothenburg Centre for Advanced Studies in Science and Technology, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
14
|
Corona E, Wang L, Ko D, Patel CJ. Systematic detection of positive selection in the human-pathogen interactome and lasting effects on infectious disease susceptibility. PLoS One 2018; 13:e0196676. [PMID: 29799843 PMCID: PMC5969750 DOI: 10.1371/journal.pone.0196676] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Accepted: 04/17/2018] [Indexed: 01/07/2023] Open
Abstract
Infectious disease has shaped the natural genetic diversity of humans throughout the world. A new approach to capture positive selection driven by pathogens would provide information regarding pathogen exposure in distinct human populations and the constantly evolving arms race between host and disease-causing agents. We created a human pathogen interaction database and used the integrated haplotype score (iHS) to detect recent positive selection in genes that interact with proteins from 26 different pathogens. We used the Human Genome Diversity Panel to identify specific populations harboring pathogen-interacting genes that have undergone positive selection. We found that human genes that interact with 9 pathogen species show evidence of recent positive selection. These pathogens are Yersenia pestis, human immunodeficiency virus (HIV) 1, Zaire ebolavirus, Francisella tularensis, dengue virus, human respiratory syncytial virus, measles virus, Rubella virus, and Bacillus anthracis. For HIV-1, GWAS demonstrate that some naturally selected variants in the host-pathogen protein interaction networks continue to have functional consequences for susceptibility to these pathogens. We show that selected human genes were enriched for HIV susceptibility variants (identified through GWAS), providing further support for the hypothesis that ancient humans were exposed to lentivirus pandemics. Human genes in the Italian, Miao, and Biaka Pygmy populations that interact with Y. pestis show significant signs of selection. These results reveal some of the genetic footprints created by pathogens in the human genome that may have left lasting marks on susceptibility to infectious disease.
Collapse
Affiliation(s)
- Erik Corona
- Department of Biomedical Informatics, RTI International, Durham, NC, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America
- * E-mail:
| | - Liuyang Wang
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, United States of America
| | - Dennis Ko
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, United States of America
- Department of Medicine, Duke University Medical Center, Durham, NC, United States of America
| | - Chirag J. Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America
| |
Collapse
|
15
|
Rifkin RF, Potgieter M, Ramond J, Cowan DA. Ancient oncogenesis, infection and human evolution. Evol Appl 2017; 10:949-964. [PMID: 29151852 PMCID: PMC5680625 DOI: 10.1111/eva.12497] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 05/22/2017] [Indexed: 12/27/2022] Open
Abstract
The recent discovery that malignant neoplastic lesions date back nearly 2 million years ago not only highlights the antiquity of cancer in the human lineage, but also provides remarkable insight into ancestral hominin disease pathology. Using these Early Pleistocene examples as a point of departure, we emphasize the prominent role of viral and bacterial pathogens in oncogenesis and evaluate the impact of pathogens on human evolutionary processes in Africa. In the Shakespearean vernacular "what's past is prologue," we highlight the significance of novel information derived from ancient pathogenic DNA. In particular, and given the temporal depth of human occupation in sub-Saharan Africa, it is emphasized that the region is ideally positioned to play a strategic role in the discovery of ancient pathogenic drivers of not only human mortality, but also human evolution. Ancient African pathogen genome data can provide novel revelations concerning human-pathogen coevolutionary processes, and such knowledge is essential for forecasting the ways in which emerging zoonotic and increasingly transmissible diseases might influence human demography and longevity in the future.
Collapse
Affiliation(s)
- Riaan F. Rifkin
- Center for Microbial Ecology and Genomics (CMEG)Department of GeneticsUniversity of PretoriaHatfieldSouth Africa
| | - Marnie Potgieter
- Center for Microbial Ecology and Genomics (CMEG)Department of GeneticsUniversity of PretoriaHatfieldSouth Africa
| | - Jean‐Baptiste Ramond
- Center for Microbial Ecology and Genomics (CMEG)Department of GeneticsUniversity of PretoriaHatfieldSouth Africa
| | - Don A. Cowan
- Center for Microbial Ecology and Genomics (CMEG)Department of GeneticsUniversity of PretoriaHatfieldSouth Africa
| |
Collapse
|
16
|
van Sluijs L, Pijlman GP, Kammenga JE. Why do Individuals Differ in Viral Susceptibility? A Story Told by Model Organisms. Viruses 2017; 9:E284. [PMID: 28973976 PMCID: PMC5691635 DOI: 10.3390/v9100284] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 09/22/2017] [Accepted: 09/26/2017] [Indexed: 01/30/2023] Open
Abstract
Viral susceptibility and disease progression is determined by host genetic variation that underlies individual differences. Genetic polymorphisms that affect the phenotype upon infection have been well-studied for only a few viruses, such as HIV-1 and Hepatitis C virus. However, even for well-studied viruses the genetic basis of individual susceptibility differences remains elusive. Investigating the effect of causal polymorphisms in humans is complicated, because genetic methods to detect rare or small-effect polymorphisms are limited and genetic manipulation is not possible in human populations. Model organisms have proven a powerful experimental platform to identify and characterize polymorphisms that underlie natural variations in viral susceptibility using quantitative genetic tools. We summarize and compare the genetic tools available in three main model organisms, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans, and illustrate how these tools can be applied to detect polymorphisms that determine the viral susceptibility. Finally, we analyse how candidate polymorphisms from model organisms can be used to shed light on the underlying mechanism of individual variation. Insights in causal polymorphisms and mechanisms underlying individual differences in viral susceptibility in model organisms likely provide a better understanding in humans.
Collapse
Affiliation(s)
- Lisa van Sluijs
- Laboratory of Nematology, Wageningen University, 6708 PB Wageningen, The Netherlands.
- Laboratory of Virology, Wageningen University, 6708 PB Wageningen, The Netherlands.
| | - Gorben P Pijlman
- Laboratory of Virology, Wageningen University, 6708 PB Wageningen, The Netherlands.
| | - Jan E Kammenga
- Laboratory of Nematology, Wageningen University, 6708 PB Wageningen, The Netherlands.
| |
Collapse
|
17
|
Houldcroft CJ, Ramond JB, Rifkin RF, Underdown SJ. Migrating microbes: what pathogens can tell us about population movements and human evolution. Ann Hum Biol 2017; 44:397-407. [PMID: 28511559 DOI: 10.1080/03014460.2017.1325515] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The biology of human migration can be observed from the co-evolutionary relationship with infectious diseases. While many pathogens are brief, unpleasant visitors to human bodies, others have the ability to become life-long human passengers. The story of a pathogen's genetic code may, therefore, provide insight into the history of its human host. The evolution and distribution of disease in Africa is of particular interest, because of the deep history of human evolution in Africa, the presence of a variety of non-human primates, and tropical reservoirs of emerging infectious diseases. METHODS This study explores which pathogens leave traces in the archaeological record, and whether there are realistic prospects that these pathogens can be recovered from sub-Saharan African archaeological contexts. RESULTS Three stories are then presented of germs on a journey. The first is the story of HIV's spread on the back of colonialism and the railway networks over the last 150 years. The second involves the spread of Schistosoma mansoni, a parasite which shares its history with the trans-Atlantic slave trade and the origins of fresh-water fishing. Finally, we discuss the tantalising hints of hominin migration and interaction found in the genome of human herpes simplex virus 2. CONCLUSIONS Evidence from modern African pathogen genomes can provide data on human behaviour and migration in deep time and contribute to the improvement of human quality-of-life and longevity.
Collapse
Affiliation(s)
- Charlotte J Houldcroft
- a Department of Archaeology and Anthropology, Division of Biological Anthropology , University of Cambridge , Cambridge , UK.,b McDonald Institute of Archaeological Research, University of Cambridge , Cambridge , UK
| | - Jean-Baptiste Ramond
- c Department of Genetics , Centre for Microbial Ecology and Genomics, Genomic Research Institute, University of Pretoria , Hatfield , South Africa
| | - Riaan F Rifkin
- c Department of Genetics , Centre for Microbial Ecology and Genomics, Genomic Research Institute, University of Pretoria , Hatfield , South Africa
| | - Simon J Underdown
- d Department of Anthropology & Geography, Human Origins and Palaeoenvironmental Research Group (HOPE) , Oxford Brookes University , Oxford , UK.,e Leverhulme Centre for Human Evolutionary Studies , Henry Wellcome Building , Cambridge , UK
| |
Collapse
|
18
|
Schlossmacher MG, Tomlinson JJ, Santos G, Shutinoski B, Brown EG, Manuel D, Mestre T. Modelling idiopathic Parkinson disease as a complex illness can inform incidence rate in healthy adults: the P R EDIGT score. Eur J Neurosci 2017; 45:175-191. [PMID: 27859866 PMCID: PMC5324667 DOI: 10.1111/ejn.13476] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 10/16/2016] [Accepted: 11/07/2016] [Indexed: 12/15/2022]
Abstract
Fifty-five years after the concept of dopamine replacement therapy was introduced, Parkinson disease (PD) remains an incurable neurological disorder. To date, no disease-modifying therapeutic has been approved. The inability to predict PD incidence risk in healthy adults is seen as a limitation in drug development, because by the time of clinical diagnosis ≥ 60% of dopamine neurons have been lost. We have designed an incidence prediction model founded on the concept that the pathogenesis of PD is similar to that of many disorders observed in ageing humans, i.e. a complex, multifactorial disease. Our model considers five factors to determine cumulative incidence rates for PD in healthy adults: (i) DNA variants that alter susceptibility (D), e.g. carrying a LRRK2 or GBA risk allele; (ii) Exposure history to select environmental factors including xenobiotics (E); (iii) Gene-environment interactions that initiate pathological tissue responses (I), e.g. a rise in ROS levels, misprocessing of amyloidogenic proteins (foremost, α-synuclein) and dysregulated inflammation; (iv) sex (or gender; G); and importantly, (v) time (T) encompassing ageing-related changes, latency of illness and propagation of disease. We propose that cumulative incidence rates for PD (PR ) can be calculated in healthy adults, using the formula: PR (%) = (E + D + I) × G × T. Here, we demonstrate six case scenarios leading to young-onset parkinsonism (n = 3) and late-onset PD (n = 3). Further development and validation of this prediction model and its scoring system promise to improve subject recruitment in future intervention trials. Such efforts will be aimed at disease prevention through targeted selection of healthy individuals with a higher prediction score for developing PD in the future and at disease modification in subjects that already manifest prodromal signs.
Collapse
Affiliation(s)
- Michael G. Schlossmacher
- Neuroscience ProgramOttawa Hospital Research Institute451 Smyth RoadRGH #1414OttawaONK1H 8M5Canada
- Division of NeurologyDepartment of MedicineThe Ottawa HospitalOttawaCanada
- University of Ottawa Brain & Mind Research InstituteOttawaCanada
- Faculty of MedicineUniversity of OttawaOttawaCanada
| | - Julianna J. Tomlinson
- Neuroscience ProgramOttawa Hospital Research Institute451 Smyth RoadRGH #1414OttawaONK1H 8M5Canada
- University of Ottawa Brain & Mind Research InstituteOttawaCanada
| | | | - Bojan Shutinoski
- Neuroscience ProgramOttawa Hospital Research Institute451 Smyth RoadRGH #1414OttawaONK1H 8M5Canada
- University of Ottawa Brain & Mind Research InstituteOttawaCanada
| | - Earl G. Brown
- Neuroscience ProgramOttawa Hospital Research Institute451 Smyth RoadRGH #1414OttawaONK1H 8M5Canada
- Faculty of MedicineUniversity of OttawaOttawaCanada
- Department of Biochemistry, Microbiology and ImmunologyUniversity of OttawaOttawaCanada
| | - Douglas Manuel
- Faculty of MedicineUniversity of OttawaOttawaCanada
- Clinical Epidemiology ProgramOttawa Hospital Research InstituteOttawaCanada
| | - Tiago Mestre
- Neuroscience ProgramOttawa Hospital Research Institute451 Smyth RoadRGH #1414OttawaONK1H 8M5Canada
- Division of NeurologyDepartment of MedicineThe Ottawa HospitalOttawaCanada
- University of Ottawa Brain & Mind Research InstituteOttawaCanada
- Faculty of MedicineUniversity of OttawaOttawaCanada
- Clinical Epidemiology ProgramOttawa Hospital Research InstituteOttawaCanada
| |
Collapse
|