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      Monomorphic genotypes within a generalist lineage of Campylobacter jejuni show signs of global dispersion

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          Abstract

          The decreased costs of genome sequencing have increased the capability to apply whole-genome sequencing to epidemiological surveillance of zoonotic Campylobacter jejuni. However, knowledge of the genetic diversity of this bacteria is vital for inferring relatedness between epidemiologically linked isolates and a necessary prerequisite for correct application of this methodology. To address this issue in C. jejuni we investigated the spatial and temporal signals in the genomes of a major clonal complex and generalist lineage, ST-45 CC, by analysing the population structure and genealogy as well as applying genome-wide association analysis of 340 isolates from across Europe collected over a wide time range. The occurrence and strength of the geographical signal varied between sublineages and followed the clonal frame when present, while no evidence of a temporal signal was found. Certain sublineages of ST-45 formed discrete and genetically isolated clades containing isolates with extremely similar genomes regardless of time and location of sampling. Based on a separate data set, these monomorphic genotypes represent successful C. jejuni clones, possibly spread around the globe by rapid animal (migrating birds), food or human movement. In addition, we observed an incongruence between the genealogy of the strains and multilocus sequence typing (MLST), challenging the existing clonal complex definition and the use of whole-genome gene-by-gene hierarchical nomenclature schemes for C. jejuni.

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          Most cited references48

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          The RAST Server: Rapid Annotations using Subsystems Technology

          Background The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them. Description We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding, rRNA and tRNA genes, assigns functions to the genes, predicts which subsystems are represented in the genome, uses this information to reconstruct the metabolic network and makes the output easily downloadable for the user. In addition, the annotated genome can be browsed in an environment that supports comparative analysis with the annotated genomes maintained in the SEED environment. The service normally makes the annotated genome available within 12–24 hours of submission, but ultimately the quality of such a service will be judged in terms of accuracy, consistency, and completeness of the produced annotations. We summarize our attempts to address these issues and discuss plans for incrementally enhancing the service. Conclusion By providing accurate, rapid annotation freely to the community we have created an important community resource. The service has now been utilized by over 120 external users annotating over 350 distinct genomes.
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            Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.

            A new statistical method for estimating divergence dates of species from DNA sequence data by a molecular clock approach is developed. This method takes into account effectively the information contained in a set of DNA sequence data. The molecular clock of mitochondrial DNA (mtDNA) was calibrated by setting the date of divergence between primates and ungulates at the Cretaceous-Tertiary boundary (65 million years ago), when the extinction of dinosaurs occurred. A generalized least-squares method was applied in fitting a model to mtDNA sequence data, and the clock gave dates of 92.3 +/- 11.7, 13.3 +/- 1.5, 10.9 +/- 1.2, 3.7 +/- 0.6, and 2.7 +/- 0.6 million years ago (where the second of each pair of numbers is the standard deviation) for the separation of mouse, gibbon, orangutan, gorilla, and chimpanzee, respectively, from the line leading to humans. Although there is some uncertainty in the clock, this dating may pose a problem for the widely believed hypothesis that the pipedal creature Australopithecus afarensis, which lived some 3.7 million years ago at Laetoli in Tanzania and at Hadar in Ethiopia, was ancestral to man and evolved after the human-ape splitting. Another likelier possibility is that mtDNA was transferred through hybridization between a proto-human and a proto-chimpanzee after the former had developed bipedalism.
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              TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations

              We present TranslatorX, a web server designed to align protein-coding nucleotide sequences based on their corresponding amino acid translations. Many comparisons between biological sequences (nucleic acids and proteins) involve the construction of multiple alignments. Alignments represent a statement regarding the homology between individual nucleotides or amino acids within homologous genes. As protein-coding DNA sequences evolve as triplets of nucleotides (codons) and it is known that sequence similarity degrades more rapidly at the DNA than at the amino acid level, alignments are generally more accurate when based on amino acids than on their corresponding nucleotides. TranslatorX novelties include: (i) use of all documented genetic codes and the possibility of assigning different genetic codes for each sequence; (ii) a battery of different multiple alignment programs; (iii) translation of ambiguous codons when possible; (iv) an innovative criterion to clean nucleotide alignments with GBlocks based on protein information; and (v) a rich output, including Jalview-powered graphical visualization of the alignments, codon-based alignments coloured according to the corresponding amino acids, measures of compositional bias and first, second and third codon position specific alignments. The TranslatorX server is freely available at http://translatorx.co.uk.
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                Author and article information

                Journal
                Microb Genom
                MGen
                Microbial Genomics
                Microbiology Society
                2057-5858
                October 2016
                21 October 2016
                : 2
                : 10
                : e000088
                Affiliations
                [ 1]Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki , Helsinki, Finland
                [ 2]Institute of Veterinary, Animal & Biomedical Sciences, College of Sciences, Massey University , Palmerstone North, New Zealand
                [ 3]Department of Mathematics and Statistics, Faculty of Science, University of Helsinki , Helsinki, Finland
                [ 4]Department of Medical and Clinical Genetics, Genome-Scale Biology Research Program, University of Helsinki , Helsinki, Finland
                [ 5]Food and Feed Microbiology Research Unit, Research and Laboratory Department, Finnish Food Safety Authority Evira , Helsinki, Finland
                [ 6]Department of Food Hygiene, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences , Tartu, Estonia
                [ 7]Veterinary and Food Laboratory, VFL , Tartu, Estonia
                [ 8]National Microbiology Laboratory, Public Health Agency of Canada, c/o Animal Diseases Research Institute , Lethbridge, Canada
                [ 9]National Reference Laboratory for Campylobacter, Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise ‘G. Caporale’ , Teramo, Italy
                [ 10]Institute of Basic Medical Sciences, Department of Biostatistics, Faculty of Medicine, University of Oslo , Oslo, Norway
                Author notes
                Correspondence Ann-Katrin Llarena ( ann-katrin.llarena@ 123456helsinki.fi )

                All supporting data, code and protocols have been provided within the article or through supplementary data files.

                Article
                mgen000088
                10.1099/mgen.0.000088
                5359405
                28348829
                8337faaa-698f-477d-961c-f734befef7d5
                © 2016 The Authors

                This is an open access article under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 June 2016
                : 12 September 2016
                Funding
                Funded by: European Food Safety Authority
                Award ID: GP/EFSA/AFSCO/2015/01/CT2
                Funded by: COIN center of excellence
                Funded by: COIN center of excellence
                Funded by: Academy of Finland
                Award ID: 11411405
                Funded by: Ministry of Agriculture and Forestry
                Award ID: MMM/776/312/2012
                Funded by: The Finnish Cultural Foundation
                Categories
                Research Paper
                Microbial evolution and epidemiology: Communicable disease genomics
                Custom metadata
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                campylobacter jejuni,genomic epidemiology,monomorphic clones,whole-genome sequencing

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