Literature DB >> 33961218

Inferring Phylogenomic Relationship of Microbes Using Scalable Alignment-Free Methods.

Guillaume Bernard1, Timothy G Stephens2, Raúl A González-Pech2, Cheong Xin Chan3,4,5.   

Abstract

Inferring phylogenetic relationships among hundreds or thousands of microbial genomes is an increasingly common task. The conventional phylogenetic approach adopts multiple sequence alignment to compare gene-by-gene, concatenated multigene or whole-genome sequences, from which a phylogenetic tree would be inferred. These alignments follow the implicit assumption of full-length contiguity among homologous sequences. However, common events in microbial genome evolution (e.g., structural rearrangements and genetic recombination) violate this assumption. Moreover, aligning hundreds or thousands of sequences is computationally intensive and not scalable to the rate at which genome data are generated. Therefore, alignment-free methods present an attractive alternative strategy. Here we describe a scalable alignment-free strategy to infer phylogenetic relationships using complete genome sequences of bacteria and archaea, based on short, subsequences of length k (k-mers). We describe how this strategy can be extended to infer evolutionary relationships beyond a tree-like structure, to better capture both vertical and lateral signals of microbial evolution.

Keywords:  Alignment-free; Microbial evolution; Phylogenetic network; Phylogenetic tree; Phylogenetics; Phylogenomics; k-mers

Year:  2021        PMID: 33961218     DOI: 10.1007/978-1-0716-1099-2_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  20 in total

Review 1.  Phylogeny estimation: traditional and Bayesian approaches.

Authors:  Mark Holder; Paul O Lewis
Journal:  Nat Rev Genet       Date:  2003-04       Impact factor: 53.242

Review 2.  Alignment methods: strategies, challenges, benchmarking, and comparative overview.

Authors:  Ari Löytynoja
Journal:  Methods Mol Biol       Date:  2012

3.  Alignment uncertainty and genomic analysis.

Authors:  Karen M Wong; Marc A Suchard; John P Huelsenbeck
Journal:  Science       Date:  2008-01-25       Impact factor: 47.728

Review 4.  Alignment-free genetic sequence comparisons: a review of recent approaches by word analysis.

Authors:  Oliver Bonham-Carter; Joe Steele; Dhundy Bastola
Journal:  Brief Bioinform       Date:  2013-07-31       Impact factor: 11.622

5.  Alignment-Free Sequence Analysis and Applications.

Authors:  Jie Ren; Xin Bai; Yang Young Lu; Kujin Tang; Ying Wang; Gesine Reinert; Fengzhu Sun
Journal:  Annu Rev Biomed Data Sci       Date:  2018-04-25

6.  Accounting for alignment uncertainty in phylogenomics.

Authors:  Martin Wu; Sourav Chatterji; Jonathan A Eisen
Journal:  PLoS One       Date:  2012-01-17       Impact factor: 3.240

7.  Inferring phylogenies of evolving sequences without multiple sequence alignment.

Authors:  Cheong Xin Chan; Guillaume Bernard; Olivier Poirion; James M Hogan; Mark A Ragan
Journal:  Sci Rep       Date:  2014-09-30       Impact factor: 4.379

8.  Next-generation phylogenomics.

Authors:  Cheong Xin Chan; Mark A Ragan
Journal:  Biol Direct       Date:  2013-01-22       Impact factor: 4.540

Review 9.  Recent evolutions of multiple sequence alignment algorithms.

Authors:  Cédric Notredame
Journal:  PLoS Comput Biol       Date:  2007-08       Impact factor: 4.475

Review 10.  Alignment-free sequence comparison: benefits, applications, and tools.

Authors:  Andrzej Zielezinski; Susana Vinga; Jonas Almeida; Wojciech M Karlowski
Journal:  Genome Biol       Date:  2017-10-03       Impact factor: 13.583

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  1 in total

1.  Alignment-Free Analysis of Whole-Genome Sequences From Symbiodiniaceae Reveals Different Phylogenetic Signals in Distinct Regions.

Authors:  Rosalyn Lo; Katherine E Dougan; Yibi Chen; Sarah Shah; Debashish Bhattacharya; Cheong Xin Chan
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

  1 in total

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