Simulating evolution of protein complexes through gene duplication and co-option

被引:1
作者
Haarsma, Loren [1 ]
Nelesen, Serita [2 ]
VanAndel, Ethan [2 ,3 ]
Lamine, James [2 ]
VandeHaar, Peter [2 ]
机构
[1] Calvin Coll, Dept Phys, Grand Rapids, MI 49546 USA
[2] Calvin Coll, Dept Comp Sci, Grand Rapids, MI 49546 USA
[3] Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA
关键词
Evolution; Complexity; Co-option; Computer model; Digital organism; REGULATORY NETWORKS; GENOMIC ANALYSIS; KEY INNOVATION; ORIGIN;
D O I
10.1016/j.jtbi.2016.03.028
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a model of the evolution of protein complexes with novel functions through gene duplication, mutation, and co-option. Under a wide variety of input parameters, digital organisms evolve complexes of 2-5 bound proteins which have novel functions but whose component proteins are not independently functional. Evolution of complexes with novel functions happens more quickly as gene duplication rates increase, point mutation rates increase, protein complex functional probability increases, protein complex functional strength increases, and protein family size decreases. Evolution of complexity is inhibited when the metabolic costs of making proteins exceeds the fitness gain of having functional proteins, or when point mutation rates get so large the functional proteins undergo deleterious mutations faster than new functional complexes can evolve. (c) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:22 / 32
页数:11
相关论文
共 50 条
[1]  
Adami C., 2009, ENCY COMPLEXITY SYST, P498
[2]  
ALLIN EF, 1992, EVOLUTIONARY BIOLOGY OF HEARING, P587
[3]  
[Anonymous], 1964, On the Origin of Species, DOI 10.5962/bhl.title.82303
[4]  
[Anonymous], 2002, Advances in Complex Systems
[5]   Simulating evolution by gene duplication of protein features that require multiple amino acid residues [J].
Behe, MJ ;
Snoke, DW .
PROTEIN SCIENCE, 2004, 13 (10) :2651-2664
[6]   Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli [J].
Blount, Zachary D. ;
Borland, Christina Z. ;
Lenski, Richard E. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (23) :7899-7906
[7]   Genomic analysis of a key innovation in an experimental Escherichia coli population [J].
Blount, Zachary D. ;
Barrick, Jeffrey E. ;
Davidson, Carla J. ;
Lenski, Richard E. .
NATURE, 2012, 489 (7417) :513-+
[8]   Reliability of regulatory networks and its evolution [J].
Braunewell, Stefan ;
Bornholdt, Stefan .
JOURNAL OF THEORETICAL BIOLOGY, 2009, 258 (04) :502-512
[9]   Evolution of antifreeze glycoprotein gene from a trypsinogen gene in Antarctic notothenioid fish [J].
Chen, LB ;
DeVries, AL ;
Cheng, CHC .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (08) :3811-3816
[10]   Evolution of the protein repertoire [J].
Chothia, C ;
Gough, J ;
Vogel, C ;
Teichmann, SA .
SCIENCE, 2003, 300 (5626) :1701-1703