401
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Identification of enterotoxigenic Escherichia coli (ETEC) clades with long-term global distribution. Nat Genet 2014; 46:1321-6. [PMID: 25383970 DOI: 10.1038/ng.3145] [Citation(s) in RCA: 167] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Accepted: 10/17/2014] [Indexed: 12/15/2022]
Abstract
Enterotoxigenic Escherichia coli (ETEC), a major cause of infectious diarrhea, produce heat-stable and/or heat-labile enterotoxins and at least 25 different colonization factors that target the intestinal mucosa. The genes encoding the enterotoxins and most of the colonization factors are located on plasmids found across diverse E. coli serogroups. Whole-genome sequencing of a representative collection of ETEC isolated between 1980 and 2011 identified globally distributed lineages characterized by distinct colonization factor and enterotoxin profiles. Contrary to current notions, these relatively recently emerged lineages might harbor chromosome and plasmid combinations that optimize fitness and transmissibility. These data have implications for understanding, tracking and possibly preventing ETEC disease.
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402
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Emel SL, Storfer A. Landscape genetics and genetic structure of the southern torrent salamander, Rhyacotriton variegatus. CONSERV GENET 2014. [DOI: 10.1007/s10592-014-0653-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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403
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Chewapreecha C, Marttinen P, Croucher NJ, Salter SJ, Harris SR, Mather AE, Hanage WP, Goldblatt D, Nosten FH, Turner C, Turner P, Bentley SD, Parkhill J. Comprehensive identification of single nucleotide polymorphisms associated with beta-lactam resistance within pneumococcal mosaic genes. PLoS Genet 2014; 10:e1004547. [PMID: 25101644 PMCID: PMC4125147 DOI: 10.1371/journal.pgen.1004547] [Citation(s) in RCA: 143] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 06/16/2014] [Indexed: 11/18/2022] Open
Abstract
Traditional genetic association studies are very difficult in bacteria, as the generally limited recombination leads to large linked haplotype blocks, confounding the identification of causative variants. Beta-lactam antibiotic resistance in Streptococcus pneumoniae arises readily as the bacteria can quickly incorporate DNA fragments encompassing variants that make the transformed strains resistant. However, the causative mutations themselves are embedded within larger recombined blocks, and previous studies have only analysed a limited number of isolates, leading to the description of “mosaic genes” as being responsible for resistance. By comparing a large number of genomes of beta-lactam susceptible and non-susceptible strains, the high frequency of recombination should break up these haplotype blocks and allow the use of genetic association approaches to identify individual causative variants. Here, we performed a genome-wide association study to identify single nucleotide polymorphisms (SNPs) and indels that could confer beta-lactam non-susceptibility using 3,085 Thai and 616 USA pneumococcal isolates as independent datasets for the variant discovery. The large sample sizes allowed us to narrow the source of beta-lactam non-susceptibility from long recombinant fragments down to much smaller loci comprised of discrete or linked SNPs. While some loci appear to be universal resistance determinants, contributing equally to non-susceptibility for at least two classes of beta-lactam antibiotics, some play a larger role in resistance to particular antibiotics. All of the identified loci have a highly non-uniform distribution in the populations. They are enriched not only in vaccine-targeted, but also non-vaccine-targeted lineages, which may raise clinical concerns. Identification of single nucleotide polymorphisms underlying resistance will be essential for future use of genome sequencing to predict antibiotic sensitivity in clinical microbiology. Streptococcus pneumoniae is carried asymptomatically in the nasopharyngeal tract. However, it is capable of causing multiple diseases, including pneumonia, bacteraemia and meningitis, which are common causes of morbidity and mortality in young children. Antibiotic treatment has become more difficult, especially that involving the group of beta-lactam antibiotics where resistance has developed rapidly. The organism is known to be highly recombinogenic, and this allows variants conferring beta-lactam resistance to be readily introduced into the genome. Identification of the specific genetic determinants of beta-lactam resistance is essential to understand both the mechanism of resistance and the spread of resistant variants in the pneumococcal population. Here, we performed a genome-wide association study on 3,701 isolates collected from two different locations and identified candidate variants that may explain beta-lactam resistance as well as discriminating potential genetic hitchhiking variants from potential causative variants. We report 51 loci, containing 301 SNPs, that are associated with beta-lactam non-susceptibility. 71 out of 301 polymorphic changes result in amino acid alterations, 28 of which have been reported previously. Understanding the determinants of resistance at the single nucleotide level will be important for the future use of sequence data to predict resistance in the clinical setting.
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Affiliation(s)
- Claire Chewapreecha
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Pekka Marttinen
- Center for Communicable Disease Dynamics, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland
| | - Nicholas J. Croucher
- Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
| | - Susannah J. Salter
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Simon R. Harris
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Alison E. Mather
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - William P. Hanage
- Center for Communicable Disease Dynamics, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - David Goldblatt
- Immunobiology Unit, Institute of Child Health, University College London, London, United Kingdom
| | - Francois H. Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot, Thailand
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Claudia Turner
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot, Thailand
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | - Paul Turner
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot, Thailand
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
| | - Stephen D. Bentley
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
- Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
- * E-mail: (SDB); (JP)
| | - Julian Parkhill
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
- * E-mail: (SDB); (JP)
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404
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Transcriptome analysis reveals signature of adaptation to landscape fragmentation. PLoS One 2014; 9:e101467. [PMID: 24988207 PMCID: PMC4079591 DOI: 10.1371/journal.pone.0101467] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 06/04/2014] [Indexed: 11/25/2022] Open
Abstract
We characterize allelic and gene expression variation between populations of the Glanville fritillary butterfly (Melitaea cinxia) from two fragmented and two continuous landscapes in northern Europe. The populations exhibit significant differences in their life history traits, e.g. butterflies from fragmented landscapes have higher flight metabolic rate and dispersal rate in the field, and higher larval growth rate, than butterflies from continuous landscapes. In fragmented landscapes, local populations are small and have a high risk of local extinction, and hence the long-term persistence at the landscape level is based on frequent re-colonization of vacant habitat patches, which is predicted to select for increased dispersal rate. Using RNA-seq data and a common garden experiment, we found that a large number of genes (1,841) were differentially expressed between the landscape types. Hexamerin genes, the expression of which has previously been shown to have high heritability and which correlate strongly with larval development time in the Glanville fritillary, had higher expression in fragmented than continuous landscapes. Genes that were more highly expressed in butterflies from newly-established than old local populations within a fragmented landscape were also more highly expressed, at the landscape level, in fragmented than continuous landscapes. This result suggests that recurrent extinctions and re-colonizations in fragmented landscapes select a for specific expression profile. Genes that were significantly up-regulated following an experimental flight treatment had higher basal expression in fragmented landscapes, indicating that these butterflies are genetically primed for frequent flight. Active flight causes oxidative stress, but butterflies from fragmented landscapes were more tolerant of hypoxia. We conclude that differences in gene expression between the landscape types reflect genomic adaptations to landscape fragmentation.
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405
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Richter SC, O'Neill EM, Nunziata SO, Rumments A, Gustin ES, Young JE, Crother BI. Cryptic Diversity and Conservation of Gopher Frogs across the Southeastern United States. COPEIA 2014. [DOI: 10.1643/cg-13-040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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406
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Sheppard SK, Cheng L, Méric G, de Haan CPA, Llarena AK, Marttinen P, Vidal A, Ridley A, Clifton-Hadley F, Connor TR, Strachan NJC, Forbes K, Colles FM, Jolley KA, Bentley SD, Maiden MCJ, Hänninen ML, Parkhill J, Hanage WP, Corander J. Cryptic ecology among host generalist Campylobacter jejuni in domestic animals. Mol Ecol 2014; 23:2442-51. [PMID: 24689900 PMCID: PMC4237157 DOI: 10.1111/mec.12742] [Citation(s) in RCA: 105] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Revised: 03/25/2014] [Accepted: 03/27/2014] [Indexed: 12/13/2022]
Abstract
Homologous recombination between bacterial strains is theoretically capable of preventing the separation of daughter clusters, and producing cohesive clouds of genotypes in sequence space. However, numerous barriers to recombination are known. Barriers may be essential such as adaptive incompatibility, or ecological, which is associated with the opportunities for recombination in the natural habitat. Campylobacter jejuni is a gut colonizer of numerous animal species and a major human enteric pathogen. We demonstrate that the two major generalist lineages of C. jejuni do not show evidence of recombination with each other in nature, despite having a high degree of host niche overlap and recombining extensively with specialist lineages. However, transformation experiments show that the generalist lineages readily recombine with one another in vitro. This suggests ecological rather than essential barriers to recombination, caused by a cryptic niche structure within the hosts.
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Affiliation(s)
- Samuel K Sheppard
- Department of Zoology, University of OxfordThe Tinbergen Building, South Parks Road, Oxford, OX1 3PS, UK
- Institute of Life Science, College of Medicine, Swansea UniversitySwansea, SA2 8PP, UK
| | - Lu Cheng
- Department of Mathematics and Statistics, University of HelsinkiP.O. Box 68, FI-00014, Helsinki, Finland
| | - Guillaume Méric
- Institute of Life Science, College of Medicine, Swansea UniversitySwansea, SA2 8PP, UK
| | - Caroline P A de Haan
- Department of Food Hygiene and Environmental Health, University of HelsinkiP.O. Box 66, FI-00014, Helsinki, Finland
| | - Ann-Katrin Llarena
- Department of Food Hygiene and Environmental Health, University of HelsinkiP.O. Box 66, FI-00014, Helsinki, Finland
| | - Pekka Marttinen
- Department of Information and Computer Science, Helsinki Institute for Information Technology HIIT, Aalto UniversityP.O. Box 15400, FI-00076, Aalto, Finland
| | - Ana Vidal
- Department of Bacteriology and Food Safety, Animal Health and Veterinary Laboratories Agency (AHVLA)New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Anne Ridley
- Department of Bacteriology and Food Safety, Animal Health and Veterinary Laboratories Agency (AHVLA)New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Felicity Clifton-Hadley
- Department of Bacteriology and Food Safety, Animal Health and Veterinary Laboratories Agency (AHVLA)New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Thomas R Connor
- Cardiff School of Biosciences, Cardiff UniversityMain Building, Park Place, Cardiff, CF10 3AT, UK
| | - Norval J C Strachan
- School of Medicine and Dentistry, University of AberdeenForesterhill, Aberdeen, AB25 2ZD, UK
| | - Ken Forbes
- School of Biological Sciences, University of AberdeenForesterhill, Aberdeen, AB25 2ZD, UK
| | - Frances M Colles
- Department of Zoology, University of OxfordThe Tinbergen Building, South Parks Road, Oxford, OX1 3PS, UK
| | - Keith A Jolley
- Department of Zoology, University of OxfordThe Tinbergen Building, South Parks Road, Oxford, OX1 3PS, UK
| | - Stephen D Bentley
- Wellcome Trust Sanger InstituteWellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Martin C J Maiden
- Department of Zoology, University of OxfordThe Tinbergen Building, South Parks Road, Oxford, OX1 3PS, UK
| | - Marja-Liisa Hänninen
- Department of Food Hygiene and Environmental Health, University of HelsinkiP.O. Box 66, FI-00014, Helsinki, Finland
| | - Julian Parkhill
- Wellcome Trust Sanger InstituteWellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - William P Hanage
- Department of Epidemiology, Harvard School of Public HealthKresge Building, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Jukka Corander
- Department of Mathematics and Statistics, University of HelsinkiP.O. Box 68, FI-00014, Helsinki, Finland
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407
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Abstract
The genus Yersinia has been used as a model system to study pathogen evolution. Using whole-genome sequencing of all Yersinia species, we delineate the gene complement of the whole genus and define patterns of virulence evolution. Multiple distinct ecological specializations appear to have split pathogenic strains from environmental, nonpathogenic lineages. This split demonstrates that contrary to hypotheses that all pathogenic Yersinia species share a recent common pathogenic ancestor, they have evolved independently but followed parallel evolutionary paths in acquiring the same virulence determinants as well as becoming progressively more limited metabolically. Shared virulence determinants are limited to the virulence plasmid pYV and the attachment invasion locus ail. These acquisitions, together with genomic variations in metabolic pathways, have resulted in the parallel emergence of related pathogens displaying an increasingly specialized lifestyle with a spectrum of virulence potential, an emerging theme in the evolution of other important human pathogens.
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408
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Odendaal LJ, Jacobs DS, Bishop JM. Sensory trait variation in an echolocating bat suggests roles for both selection and plasticity. BMC Evol Biol 2014; 14:60. [PMID: 24674227 PMCID: PMC3986686 DOI: 10.1186/1471-2148-14-60] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Accepted: 03/20/2014] [Indexed: 02/04/2023] Open
Abstract
Background Across heterogeneous environments selection and gene flow interact to influence the rate and extent of adaptive trait evolution. This complex relationship is further influenced by the rarely considered role of phenotypic plasticity in the evolution of adaptive population variation. Plasticity can be adaptive if it promotes colonization and survival in novel environments and in doing so may increase the potential for future population differentiation via selection. Gene flow between selectively divergent environments may favour the evolution of phenotypic plasticity or conversely, plasticity itself may promote gene flow, leading to a pattern of trait differentiation in the presence of gene flow. Variation in sensory traits is particularly informative in testing the role of environment in trait and population differentiation. Here we test the hypothesis of ‘adaptive differentiation with minimal gene flow’ in resting echolocation frequencies (RF) of Cape horseshoe bats (Rhinolophus capensis) across a gradient of increasingly cluttered habitats. Results Our analysis reveals a geographically structured pattern of increasing RF from open to highly cluttered habitats in R. capensis; however genetic drift appears to be a minor player in the processes influencing this pattern. Although Bayesian analysis of population structure uncovered a number of spatially defined mitochondrial groups and coalescent methods revealed regional-scale gene flow, phylogenetic analysis of mitochondrial sequences did not correlate with RF differentiation. Instead, habitat discontinuities between biomes, and not genetic and geographic distances, best explained echolocation variation in this species. We argue that both selection for increased detection distance in relatively less cluttered habitats and adaptive phenotypic plasticity may have influenced the evolution of matched echolocation frequencies and habitats across different populations. Conclusions Our study reveals significant sensory trait differentiation in the presence of historical gene flow and suggests roles for both selection and plasticity in the evolution of echolocation variation in R. capensis. These results highlight the importance of population level analyses to i) illuminate the subtle interplay between selection, plasticity and gene flow in the evolution of adaptive traits and ii) demonstrate that evolutionary processes may act simultaneously and that their relative influence may vary across different environments.
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Affiliation(s)
- Lizelle J Odendaal
- Department of Biological Sciences, University of Cape Town, 7701 Cape Town, South Africa.
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409
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Casali N, Nikolayevskyy V, Balabanova Y, Harris SR, Ignatyeva O, Kontsevaya I, Corander J, Bryant J, Parkhill J, Nejentsev S, Horstmann RD, Brown T, Drobniewski F. Evolution and transmission of drug-resistant tuberculosis in a Russian population. Nat Genet 2014; 46:279-86. [PMID: 24464101 PMCID: PMC3939361 DOI: 10.1038/ng.2878] [Citation(s) in RCA: 359] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Accepted: 01/02/2014] [Indexed: 12/30/2022]
Abstract
The molecular mechanisms determining the transmissibility and prevalence of drug-resistant tuberculosis in a population were investigated through whole-genome sequencing of 1,000 prospectively obtained patient isolates from Russia. Two-thirds belonged to the Beijing lineage, which was dominated by two homogeneous clades. Multidrug-resistant (MDR) genotypes were found in 48% of isolates overall and in 87% of the major clades. The most common rpoB mutation was associated with fitness-compensatory mutations in rpoA or rpoC, and a new intragenic compensatory substitution was identified. The proportion of MDR cases with extensively drug-resistant (XDR) tuberculosis was 16% overall, with 65% of MDR isolates harboring eis mutations, selected by kanamycin therapy, which may drive the expansion of strains with enhanced virulence. The combination of drug resistance and compensatory mutations displayed by the major clades confers clinical resistance without compromising fitness and transmissibility, showing that, in addition to weaknesses in the tuberculosis control program, biological factors drive the persistence and spread of MDR and XDR tuberculosis in Russia and beyond.
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Affiliation(s)
- Nicola Casali
- PHE National Mycobacterium Reference Laboratory, Clinical TB and HIV Group, Blizard Institute, Queen Mary University of London, 2 Newark Street, London E1 2AT, UK
| | - Vladyslav Nikolayevskyy
- PHE National Mycobacterium Reference Laboratory, Clinical TB and HIV Group, Blizard Institute, Queen Mary University of London, 2 Newark Street, London E1 2AT, UK
| | - Yanina Balabanova
- PHE National Mycobacterium Reference Laboratory, Clinical TB and HIV Group, Blizard Institute, Queen Mary University of London, 2 Newark Street, London E1 2AT, UK
| | - Simon R Harris
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Olga Ignatyeva
- Samara Oblast Tuberculosis Dispensary, 154 Novosadovaya Street, 443068 Samara, Russian Federation
| | - Irina Kontsevaya
- Samara Oblast Tuberculosis Dispensary, 154 Novosadovaya Street, 443068 Samara, Russian Federation
| | - Jukka Corander
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Josephine Bryant
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Julian Parkhill
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Sergey Nejentsev
- Department of Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Rolf D Horstmann
- Department of Molecular Medicine, Bernhard Nocht Institute for Tropical Medicine, 20359 Hamburg, Germany
| | - Timothy Brown
- PHE National Mycobacterium Reference Laboratory, Clinical TB and HIV Group, Blizard Institute, Queen Mary University of London, 2 Newark Street, London E1 2AT, UK
| | - Francis Drobniewski
- PHE National Mycobacterium Reference Laboratory, Clinical TB and HIV Group, Blizard Institute, Queen Mary University of London, 2 Newark Street, London E1 2AT, UK
- Department of Infectious Diseases, Imperial College, London, UK
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410
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Chewapreecha C, Harris SR, Croucher NJ, Turner C, Marttinen P, Cheng L, Pessia A, Aanensen DM, Mather AE, Page AJ, Salter SJ, Harris D, Nosten F, Goldblatt D, Corander J, Parkhill J, Turner P, Bentley SD. Dense genomic sampling identifies highways of pneumococcal recombination. Nat Genet 2014; 46:305-309. [PMID: 24509479 PMCID: PMC3970364 DOI: 10.1038/ng.2895] [Citation(s) in RCA: 281] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2013] [Accepted: 01/15/2014] [Indexed: 11/24/2022]
Abstract
Evasion of clinical interventions by Streptococcus pneumoniae occurs through selection of non-susceptible genomic variants. We report whole-genome sequencing of 3,085 pneumococcal carriage isolates from a 2.4-km(2) refugee camp. This sequencing provides unprecedented resolution of the process of recombination and its impact on population evolution. Genomic recombination hotspots show remarkable consistency between lineages, indicating common selective pressures acting at certain loci, particularly those associated with antibiotic resistance. Temporal changes in antibiotic consumption are reflected in changes in recombination trends, demonstrating rapid spread of resistance when selective pressure is high. The highest frequencies of receipt and donation of recombined DNA fragments were observed in non-encapsulated lineages, implying that this largely overlooked pneumococcal group, which is beyond the reach of current vaccines, may have a major role in genetic exchange and the adaptation of the species as a whole. These findings advance understanding of pneumococcal population dynamics and provide information for the design of future intervention strategies.
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Affiliation(s)
- Claire Chewapreecha
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Simon R Harris
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Nicholas J Croucher
- Department of Infectious Disease Epidemiology, Imperial College London, St. Mary’s Hospital, London, W2 1PG, UK
| | - Claudia Turner
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot 63110, Thailand
- Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LJ, UK
| | - Pekka Marttinen
- Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, 00076, Finland
| | - Lu Cheng
- Department of Mathematics and Statistics, University of Helsinki, 00014, Finland
| | - Alberto Pessia
- Department of Mathematics and Statistics, University of Helsinki, 00014, Finland
| | - David M Aanensen
- Department of Infectious Disease Epidemiology, Imperial College London, St. Mary’s Hospital, London, W2 1PG, UK
| | - Alison E Mather
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Andrew J Page
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Susannah J. Salter
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - David Harris
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Francois Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot 63110, Thailand
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LJ, UK
| | - David Goldblatt
- Immunobiology Unit, Institute of Child Health, University College London, WC1N 1EH, UK
| | - Jukka Corander
- Department of Mathematics and Statistics, University of Helsinki, 00014, Finland
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
| | - Julian Parkhill
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Paul Turner
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Maesot 63110, Thailand
- Cambodia-Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LJ, UK
| | - Stephen D Bentley
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge, CB2 0QQ, UK
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411
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Dellicour S, Mardulyn P. spads 1.0: a toolbox to perform spatial analyses on DNA sequence data sets. Mol Ecol Resour 2013; 14:647-51. [PMID: 24215429 DOI: 10.1111/1755-0998.12200] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2013] [Revised: 10/21/2013] [Accepted: 11/07/2013] [Indexed: 11/27/2022]
Abstract
SPADS 1.0 (for 'Spatial and Population Analysis of DNA Sequences') is a population genetic toolbox for characterizing genetic variability within and among populations from DNA sequences. In view of the drastic increase in genetic information available through sequencing methods, spads was specifically designed to deal with multilocus data sets of DNA sequences. It computes several summary statistics from populations or groups of populations, performs input file conversions for other population genetic programs and implements locus-by-locus and multilocus versions of two clustering algorithms to study the genetic structure of populations. The toolbox also includes two MATLAB and r functions, GDISPAL and GDIVPAL, to display differentiation and diversity patterns across landscapes. These functions aim to generate interpolating surfaces based on multilocus distance and diversity indices. In the case of multiple loci, such surfaces can represent a useful alternative to multiple pie charts maps traditionally used in phylogeography to represent the spatial distribution of genetic diversity. These coloured surfaces can also be used to compare different data sets or different diversity and/or distance measures estimated on the same data set.
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Affiliation(s)
- Simon Dellicour
- Evolutionary Biology and Ecology, Université Libre de Bruxelles, av. FD Roosevelt 50, Brussels, 1050, Belgium
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412
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Dohms KM, Burg TM. Molecular markers reveal limited population genetic structure in a North American corvid, Clark's nutcracker (Nucifraga columbiana). PLoS One 2013; 8:e79621. [PMID: 24223982 PMCID: PMC3817134 DOI: 10.1371/journal.pone.0079621] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 10/03/2013] [Indexed: 11/30/2022] Open
Abstract
The genetic impact of barriers and Pleistocene glaciations on high latitude resident species has not been widely investigated. The Clark’s nutcracker is an endemic North American corvid closely associated with Pinus-dominated forests. The nutcracker’s encompasses known barriers to dispersal for other species, and glaciated and unglaciated areas. Clark’s nutcrackers also irruptively disperse long distances in search of pine seed crops, creating the potential for gene flow among populations. Using the highly variable mitochondrial DNA control region, seven microsatellite loci, and species distribution modeling, we examined the effects of glaciations and dispersal barriers on population genetic patterns and population structure of nutcrackers. We sequenced 900 bp of mitochondrial control region for 169 individuals from 15 populations and analysed seven polymorphic microsatellite loci for 13 populations across the Clark’s nutcracker range. We used species distribution modeling and a range of phylogeographic analyses to examine evolutionary history. Clark’s nutcracker populations are not highly differentiated throughout their range, suggesting high levels of gene flow among populations, though we did find some evidence of isolation by distance and peripheral isolation. Our analyses suggested expansion from a single refugium after the last glacial maximum, but patterns of genetic diversity and paleodistribution modeling of suitable habitat were inconclusive as to the location of this refugium. Potential barriers to dispersal (e.g. mountain ranges) do not appear to restrict gene flow in Clark’s nutcracker, and postglacial expansion likely occurred quickly from a single refugium located south of the ice sheets.
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Affiliation(s)
- Kimberly M. Dohms
- Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
- * E-mail:
| | - Theresa M. Burg
- Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
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413
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Dufresnes C, Wassef J, Ghali K, Brelsford A, Stöck M, Lymberakis P, Crnobrnja-Isailovic J, Perrin N. Conservation phylogeography: does historical diversity contribute to regional vulnerability in European tree frogs (Hyla arborea)? Mol Ecol 2013; 22:5669-84. [PMID: 24102652 DOI: 10.1111/mec.12513] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2012] [Revised: 08/24/2013] [Accepted: 08/28/2013] [Indexed: 11/28/2022]
Abstract
Documenting and preserving the genetic diversity of populations, which conditions their long-term survival, have become a major issue in conservation biology. The loss of diversity often documented in declining populations is usually assumed to result from human disturbances; however, historical biogeographic events, otherwise known to strongly impact diversity, are rarely considered in this context. We apply a multilocus phylogeographic study to investigate the late-Quaternary history of a tree frog (Hyla arborea) with declining populations in the northern and western part of its distribution range. Mitochondrial and nuclear polymorphisms reveal high genetic diversity in the Balkan Peninsula, with a spatial structure moulded by the last glaciations. While two of the main refugial lineages remained limited to the Balkans (Adriatic coast, southern Balkans), a third one expanded to recolonize Northern and Western Europe, loosing much of its diversity in the process. Our findings show that mobile and a priori homogeneous taxa may also display substructure within glacial refugia ('refugia within refugia') and emphasize the importance of the Balkans as a major European biodiversity centre. Moreover, the distribution of diversity roughly coincides with regional conservation situations, consistent with the idea that historically impoverished genetic diversity may interact with anthropogenic disturbances, and increase the vulnerability of populations. Phylogeographic models seem important to fully appreciate the risks of local declines and inform conservation strategies.
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Affiliation(s)
- Christophe Dufresnes
- Department of Ecology & Evolution, University of Lausanne, Biophore Building, 1015, Lausanne, Switzerland
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414
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Escobar-Gutiérrez A, Soudeyns H, Larouche A, Carpio-Pedroza JC, Martinez-Guarneros A, Vazquez-Chacon CA, Fonseca-Coronado S, Yamasaki LHT, Ruiz-Tovar K, Cruz-Rivera M. Vertical transmission of hepatitis C virus: a tale of multiple outcomes. INFECTION GENETICS AND EVOLUTION 2013; 20:465-70. [PMID: 24140559 DOI: 10.1016/j.meegid.2013.10.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2013] [Revised: 10/06/2013] [Accepted: 10/08/2013] [Indexed: 12/15/2022]
Abstract
Globally, hepatitis C virus (HCV) infection affects approximately 130 million people and 3 million new infections occur annually. HCV is also recognized as an important cause of chronic liver disease in children. The absence of proofreading properties of the HCV RNA polymerase leads to a highly error prone replication process, allowing HCV to escape host immune response. The adaptive nature of HCV evolution dictates the outcome of the disease in many ways. Here, we investigated the molecular evolution of HCV in three unrelated children who acquired chronic HCV infection as a result of mother-to-child transmission, two of whom were also coinfected with HIV-1. The persistence of discrete HCV variants and their population structure were assessed using median joining network and Bayesian approaches. While patterns of viral evolution clearly differed between subjects, immune system dysfunction related to HIV coinfection or persistent HCV seronegativity stand as potential mechanisms to explain the lack of molecular evolution observed in these three cases. In contrast, treatment of HCV infection with PegIFN, which did not lead to sustained virologic responses in all 3 cases, was not associated with commensurate variations in the complexity of the variant spectrum. Finally, the differences in the degree of divergence suggest that the mode of transmission of the virus was not the main factor driving viral evolution.
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