An alignment-free test for recombination

被引:6
|
作者
Haubold, Bernhard [1 ]
Krause, Linda [1 ,2 ]
Horn, Thomas [3 ]
Pfaffelhuber, Peter [3 ]
机构
[1] Max Planck Inst Evolutionary Biol, Dept Evolutionary Genet, D-24306 Plon, Germany
[2] Med Univ Lubeck, Inst Neuro & Bioinformat, D-23562 Lubeck, Germany
[3] Univ Freiburg, Math Inst, D-79104 Freiburg, Germany
关键词
EVOLUTIONARY ADVANTAGE; ESCHERICHIA-COLI; GENOME; DISTANCES; SEQUENCE; MODEL; SEX;
D O I
10.1093/bioinformatics/btt550
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Why recombination? is one of the central questions in biology. This has led to a host of methods for quantifying recombination from sequence data. These methods are usually based on aligned DNA sequences. Here, we propose an efficient alignment-free alternative. Results: Our method is based on the distribution of match lengths, which we look up using enhanced suffix arrays. By eliminating the alignment step, the test becomes fast enough for application to whole bacterial genomes. Using simulations we show that our test has similar power as established tests when applied to long pairs of sequences. When applied to 58 genomes of Escherichia coli, we pick up the strongest recombination signal from a 125 kb horizontal gene transfer engineered 20 years ago.
引用
收藏
页码:3121 / 3127
页数:7
相关论文
共 50 条
  • [31] Alignment-free protein interaction network comparison
    Ali, Waqar
    Rito, Tiago
    Reinert, Gesine
    Sun, Fengzhu
    Deane, Charlotte M.
    BIOINFORMATICS, 2014, 30 (17) : I430 - I437
  • [32] An alignment-free method for classification of protein sequences
    Deshmukh, Sandeep
    Khaitan, Sanjeet
    Das, Debasish
    Gupta, Manish
    Wangikar, Pramod P.
    PROTEIN AND PEPTIDE LETTERS, 2007, 14 (07): : 647 - 657
  • [33] Editorial: Alignment-free methods in computational biology
    Vinga, Susana
    BRIEFINGS IN BIOINFORMATICS, 2014, 15 (03) : 341 - 342
  • [34] Alignment-free optical fiber connecting tool
    Kuwabara, Y
    Kawaguchi, Y
    Aoki, Y
    Iga, K
    LEOS 2000 - IEEE ANNUAL MEETING CONFERENCE PROCEEDINGS, VOLS. 1 & 2, 2000, : 718 - 719
  • [35] Dynamic Alignment-Free and Reference-Free Read Compression
    Holley, Guillaume
    Wittler, Roland
    Stoye, Jens
    Hach, Faraz
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2018, 25 (07) : 825 - 836
  • [36] Dynamic Alignment-Free and Reference-Free Read Compression
    Holley, Guillaume
    Wittler, Roland
    Stoye, Jens
    Hach, Faraz
    RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY, RECOMB 2017, 2017, 10229 : 50 - 65
  • [37] WakeWord Detection with Alignment-Free Lattice-Free MMI
    Wang, Yiming
    Lv, Hang
    Povey, Daniel
    Xie, Lei
    Khudanpur, Sanjeev
    INTERSPEECH 2020, 2020, : 4258 - 4262
  • [38] A Filtering Approach for Alignment-Free Biosequences Comparison with Mismatches
    Pizzi, Cinzia
    ALGORITHMS IN BIOINFORMATICS (WABI 2015), 2015, 9289 : 231 - 242
  • [39] Alignment-Free Three-Dimensional Optical Metamaterials
    Zhao, Yang
    Shi, Jinwei
    Sun, Liuyang
    Li, Xiaoqin
    Alu, Andrea
    ADVANCED MATERIALS, 2014, 26 (09) : 1439 - 1445
  • [40] ALFRED: A Practical Method for Alignment-Free Distance Computation
    Thankachan, Sharma V.
    Chockalingam, Sriram P.
    Liu, Yongchao
    Apostolico, Alberto
    Aluru, Srinivas
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2016, 23 (06) : 452 - 460