Finding orthologous gene blocks in bacteria: the computational hardness of the problem and novel methods to address it
Author(s) -
Huy Nguyen,
Alexey Markin,
Iddo Friedberg,
Oliver Eulenstein
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa794
Subject(s) - operon , heuristic , computer science , time complexity , gene , computational biology , greedy algorithm , computational complexity theory , theoretical computer science , algorithm , biology , genetics , artificial intelligence , escherichia coli
The evolution of complexity is one of the most fascinating and challenging problems in modern biology, and tracing the evolution of complex traits is an open problem. In bacteria, operons and gene blocks provide a model of tractable evolutionary complexity at the genomic level. Gene blocks are structures of co-located genes with related functions, and operons are gene blocks whose genes are co-transcribed on a single mRNA molecule. The genes in operons and gene blocks typically work together in the same system or molecular complex. Previously, we proposed a method that explains the evolution of orthologous gene blocks (orthoblocks) as a combination of a small set of events that take place in vertical evolution from common ancestors. A heuristic method was proposed to solve this problem. However, no study was done to identify the complexity of the problem.
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