scholarly journals 2011 German Escherichia coli O104:H4 outbreak: Alignment-free whole-genome phylogeny by feature frequency profiles

2011 ◽  
Author(s):  
Man Kit Cheung ◽  
Lei Li ◽  
Wenyan Nong ◽  
Hoi Shan Kwan
2020 ◽  
Vol 117 (7) ◽  
pp. 3678-3686 ◽  
Author(s):  
JaeJin Choi ◽  
Sung-Hou Kim

An organism tree of life (organism ToL) is a conceptual and metaphorical tree to capture a simplified narrative of the evolutionary course and kinship among the extant organisms. Such a tree cannot be experimentally validated but may be reconstructed based on characteristics associated with the organisms. Since the whole-genome sequence of an organism is, at present, the most comprehensive descriptor of the organism, a whole-genome sequence-based ToL can be an empirically derivable surrogate for the organism ToL. However, experimentally determining the whole-genome sequences of many diverse organisms was practically impossible until recently. We have constructed three types of ToLs for diversely sampled organisms using the sequences of whole genome, of whole transcriptome, and of whole proteome. Of the three, whole-proteome sequence-based ToL (whole-proteome ToL), constructed by applying information theory-based feature frequency profile method, an “alignment-free” method, gave the most topologically stable ToL. Here, we describe the main features of a whole-proteome ToL for 4,023 species with known complete or almost complete genome sequences on grouping and kinship among the groups at deep evolutionary levels. The ToL reveals 1) all extant organisms of this study can be grouped into 2 “Supergroups,” 6 “Major Groups,” or 35+ “Groups”; 2) the order of emergence of the “founders” of all of the groups may be assigned on an evolutionary progression scale; 3) all of the founders of the groups have emerged in a “deep burst” at the very beginning period near the root of the ToL—an explosive birth of life’s diversity.


2020 ◽  
Author(s):  
Rudi L. Cilibrasi ◽  
Paul M.B. Vitányi

AbstractWe analyze the whole genome phylogeny and taxonomy of the SARS-CoV-2 virus using compression. This is a new fast alignment-free method called the “normalized compression distance” (NCD) method. It discovers all effective similarities based on Kolmogorov complexity. The latter being incomputable we approximate it by a good compressor such as the modern zpaq. The results comprise that the SARS-CoV-2 virus is closest to the RaTG13 virus and similar to two bat SARS-like coronaviruses bat-SL-CoVZXC21 and bat-SL-CoVZC4. The similarity is quantified and compared with the same quantified similarities among the mtDNA of certain species. We treat the question whether Pangolins are involved in the SARS-CoV-2 virus. The compression method is simpler and possibly faster than any other whole genome method, which makes it the ideal tool to explore phylogeny.


2013 ◽  
Vol 30 (5) ◽  
pp. 1032-1037 ◽  
Author(s):  
Jinkui Cheng ◽  
Fuliang Cao ◽  
Zhihua Liu

Abstract Phylogenetic analysis based on alignment method meets huge challenges when dealing with whole-genome sequences, for example, recombination, shuffling, and rearrangement of sequences. Thus, various alignment-free methods for phylogeny construction have been proposed. However, most of these methods have not been implemented as tools or web servers. Researchers cannot use these methods easily with their data sets. To facilitate the usage of various alignment-free methods, we implemented most of the popular alignment-free methods and constructed a user-friendly web server for alignment-free genome phylogeny (AGP). AGP integrated the phylogenetic tree construction, visualization, and comparison functions together. Both AGP and all source code of the methods are available at http://www.herbbol.org:8000/agp (last accessed February 26, 2013). AGP will facilitate research in the field of whole-genome phylogeny and comparison.


2011 ◽  
Vol 4 (1) ◽  
pp. 533 ◽  
Author(s):  
Man Cheung ◽  
Lei Li ◽  
Wenyan Nong ◽  
Hoi Kwan

2021 ◽  
Author(s):  
Paul Vitanyi ◽  
Rudi Cilibrasi

We analyze the whole-genome phylogeny and taxonomy of the SARS-CoV-2 virus, causing the COVID-19 disease, using compression in the form of the alignment-free NCD (Normalized Compression Distance) method to assess similarity. We compare the SARS-CoV-2 virus with a database of over 6,500 viruses. The results comprise that the SARS-CoV-2 virus is closest in that database to the RaTG13 virus and rather close to the bat SARS-like corona viruses bat-SL-CoVZXC21 and bat-SL-CoVZC45. Over 6,500 viruses are identified (given by their registration code) with larger NCD's. The NCD's are compared with the NCD's between the mtDNA's of familiar species. We treat the question whether Pangolins are involved in the SARS-CoV-2 virus. The NCD method or shortly the {\em compression method} is simpler and possibly faster than any other whole-genome method, which makes it the ideal tool to explore phylogeny. Here we use it for the complex case of determining this similarity between the COVID-19 virus SARS-CoV-2 and many other viruses. The resulting phylogeny and taxonomy closely matches earlier efforts by alignment-based methods and a machine-learning method, providing the most compelling evidence to date for the compression method showing that one can achieve equivalent results both simply and fast.


2021 ◽  
Author(s):  
Paul Vitanyi ◽  
Rudi Cilibrasi

We analyze the whole-genome phylogeny and taxonomy of the SARS-CoV-2 virus, causing the COVID-19 disease, using compression in the form of the alignment-free NCD (Normalized Compression Distance) method to assess similarity. We compare the SARS-CoV-2 virus with a database of over 6,500 viruses. The results comprise that the SARS-CoV-2 virus is closest in that database to the RaTG13 virus and rather close to the bat SARS-like corona viruses bat-SL-CoVZXC21 and bat-SL-CoVZC45. Over 6,500 viruses are identified (given by their registration code) with larger NCD's. The NCD's are compared with the NCD's between the mtDNA's of familiar species. We treat the question whether Pangolins are involved in the SARS-CoV-2 virus. The NCD method or shortly the {\em compression method} is simpler and possibly faster than any other whole-genome method, which makes it the ideal tool to explore phylogeny. Here we use it for the complex case of determining this similarity between the COVID-19 virus SARS-CoV-2 and many other viruses. The resulting phylogeny and taxonomy closely matches earlier efforts by alignment-based methods and a machine-learning method, providing the most compelling evidence to date for the compression method showing that one can achieve equivalent results both simply and fast.


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