共 28 条
Network Context and Selection in the Evolution to Enzyme Specificity
被引:216
作者:
Nam, Hojung
[1
]
Lewis, Nathan E.
[1
,3
,4
]
Lerman, Joshua A.
[2
]
Lee, Dae-Hee
[1
]
Chang, Roger L.
[2
]
Kim, Donghyuk
[1
]
Palsson, Bernhard O.
[1
]
机构:
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Bioinformat & Syst Biol Grad Program, La Jolla, CA 92093 USA
[3] Harvard Univ, Wyss Inst Biol Inspired Engn, Sch Med, Boston, MA 02115 USA
[4] Harvard Univ, Dept Genet, Sch Med, Boston, MA 02115 USA
来源:
关键词:
ESCHERICHIA-COLI;
METABOLIC NETWORK;
GENE-EXPRESSION;
FLUXES;
YEAST;
RECONSTRUCTION;
PROMISCUITY;
PERSPECTIVE;
MODELS;
D O I:
10.1126/science.1216861
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Enzymes are thought to have evolved highly specific catalytic activities from promiscuous ancestral proteins. By analyzing a genome-scale model of Escherichia coli metabolism, we found that 37% of its enzymes act on a variety of substrates and catalyze 65% of the known metabolic reactions. However, it is not apparent why these generalist enzymes remain. Here, we show that there are marked differences between generalist enzymes and specialist enzymes, known to catalyze a single chemical reaction on one particular substrate in vivo. Specialist enzymes (i) are frequently essential, (ii) maintain higher metabolic flux, and (iii) require more regulation of enzyme activity to control metabolic flux in dynamic environments than do generalist enzymes. Furthermore, these properties are conserved in Archaea and Eukarya. Thus, the metabolic network context and environmental conditions influence enzyme evolution toward high specificity.
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页码:1101 / 1104
页数:4
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