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Comparative genomics reveals mechanism for short-term and long-term clonal transitions in pandemic Vibrio cholerae.

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TLDR
Based on the comparative genomics, it is concluded that V. cholerae undergoes extensive genetic recombination via lateral gene transfer, and, therefore, genome assortment, not serogroup, should be used to define pathogenic V.cholerae clones.
Abstract
Vibrio cholerae, the causative agent of cholera, is a bacterium autochthonous to the aquatic environment, and a serious public health threat. V. cholerae serogroup O1 is responsible for the previous two cholera pandemics, in which classical and El Tor biotypes were dominant in the sixth and the current seventh pandemics, respectively. Cholera researchers continually face newly emerging and reemerging pathogenic clones carrying diverse combinations of phenotypic and genotypic properties, which significantly hampered control of the disease. To elucidate evolutionary mechanisms governing genetic diversity of pandemic V. cholerae, we compared the genome sequences of 23 V. cholerae strains isolated from a variety of sources over the past 98 years. The genome-based phylogeny revealed 12 distinct V. cholerae lineages, of which one comprises both O1 classical and El Tor biotypes. All seventh pandemic clones share nearly identical gene content. Using analogy to influenza virology, we define the transition from sixth to seventh pandemic strains as a “shift” between pathogenic clones belonging to the same O1 serogroup, but from significantly different phyletic lineages. In contrast, transition among clones during the present pandemic period is characterized as a “drift” between clones, differentiated mainly by varying composition of laterally transferred genomic islands, resulting in emergence of variants, exemplified by V. cholerae O139 and V. cholerae O1 El Tor hybrid clones. Based on the comparative genomics it is concluded that V. cholerae undergoes extensive genetic recombination via lateral gene transfer, and, therefore, genome assortment, not serogroup, should be used to define pathogenic V. cholerae clones.

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Journal ArticleDOI

The origin of the Haitian cholera outbreak strain.

TL;DR: The Haitian epidemic is probably the result of the introduction, through human activity, of a V. cholerae strain from a distant geographic source, and analysis of genomic variation of the Haitian isolates reveals a more distant relationship with circulating South American isolates.
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Integrating genomics into the taxonomy and systematics of the Bacteria and Archaea.

TL;DR: This special issue of International Journal of Systematic and Evolutionary Microbiology contains both original research and review articles covering the use of genomic sequence data in microbial taxonomy and systematics, and outlines of approaches for incorporating genomics into new strain isolation to new taxon description workflows.
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Automated Reconstruction of Whole-Genome Phylogenies from Short-Sequence Reads

TL;DR: A new method is developed that combines alignments from mappings to multiple reference sequences and shows that this successfully removes biases from the reconstructed phylogenies, which fully automates phylogenetic reconstruction from raw sequencing reads.
References
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TL;DR: The neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods for reconstructing phylogenetic trees from evolutionary distance data.
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A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.

TL;DR: Some examples were worked out using reported globin sequences to show that synonymous substitutions occur at much higher rates than amino acid-altering substitutions in evolution.
Journal ArticleDOI

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TL;DR: The Clustal W and ClUSTal X multiple sequence alignment programs have been completely rewritten in C++ to facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems.
Journal ArticleDOI

MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences

TL;DR: The motivation, design principles and priorities that have shaped the development of MEGA are discussed and how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods are discussed.
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