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Abstract
The gene sod in Acidithiobacillus ferrooxidans may play a crucial role in its tolerance to the extremely acidic, toxic and oxidative environment of bioleaching. For insight into the anti-toxic mechanism of the bacteria, a three-dimensional (3D) molecular structure of the protein encoded by this gene was built by homology modeling techniques, refined by molecular dynamics simulations, assessed by PROFILE-3D and PROSTAT programs and its key residues were further detected by evolutionary trace analysis. Through these procedures, some trace residues were identified and spatially clustered. Among them, the residues of Asn38, Gly103 and Glu161 are randomly scattered throughout the mapped structure; interestingly, the other residues are all distinctly clustered in a subgroup near Fe atom. From these results, this gene can be confirmed at 3D level to encode the Fe-depending superoxide dismutase and subsequently play an anti-toxic role. Furthermore, the detected key residues around Fe binding site can be conjectured to be directly responsible for Fe binding and catalytic function.
Keywords
bioleaching
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superoxide dismutase
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Acidithiobacillus ferrooxidans
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homology modeling
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evolutionary trace
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molecular dynamics
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Yuan-dong Liu, Hai-dong Wang, Guan-zhou Qiu.
Homology modeling and evolutionary trace analysis of superoxide dismutase from extremophile Acidithiobacillus ferrooxidans.
Journal of Central South University, 2007, 14(5): 612-618 DOI:10.1007/s11771-007-0117-x
| [1] |
RawlingsD. E., KusanoT.. Molecular genetics of Thiobacillus ferrooxidans[J]. Microbiological Reviews, 1994, 58(1): 39-55
|
| [2] |
BakerB. J., BanfieldJ. F.. Microbial communities in acid mine drainage[J]. FEMS Microbiology Ecology, 2003, 44(2): 139-152
|
| [3] |
TuovinenO. H., NiemelaS. I., GyllenbergH. G.. Tolerance of Thiobacillus ferrooxidations to some metals[J]. Antonie Van Leeuwenhoek(International Journal of General and Molecular Microbiology), 1971, 37(4): 489-496
|
| [4] |
BanerjeeP. C.. Genetics of metal resistance in acidophilic prokaryotes of acidic mine environments[J]. Indian Journal of Experimental Biology, 2004, 42(1): 9-25
|
| [5] |
QuatriniR., Appia-AymeC., DenisY., et al.. Insights into the iron and sulfur energetic metabolism of Acidithiobacillus ferrooxidans by microarray transcriptome profiling[J]. Hydrometallurgy, 2006, 83(1/4): 263-272
|
| [6] |
ZelkoI. N., MarianiT. J., FolzR. J.. Superoxide dismutase multigene family: a comparison of the Cu Zn-SOD (SODI), Mn-SOD (SOD2), and EC-SOD (SOD3) gene structures, evolution, and expression[J]. Free Radical Biology and Medicine, 2002, 33(3): 337-349
|
| [7] |
BannisterJ. V., BannisterW. H., RotilioG.. Aspects of the structure, function, and applications of superoxide dismutase[J]. CRC Critical Reviews in Biochemistry, 1987, 22(2): 111-180
|
| [8] |
ParkerM. W., BlakeC. C.. Iron-and manganese-containing superoxide dismutases can be distinguished by analysis of their primary structures[J]. FEBS Letters, 1988, 229(2): 377-382
|
| [9] |
ParvatiyarK. E., AlsabbaghU. A., OchsnerM. A., et al.. Global analysis of cellular factors and responses involved in Pseudomonas aeruginosa resistance to arsenite[J]. Journal of Bacteriology, 2005, 187(14): 4853-4864
|
| [10] |
GeslinC., LlanosJ., PrieurD., et al.. The manganese and iron superoxide dismutases protect Escherichia coli from heavy metal toxicity[J]. Research in Microbiology, 2001, 152(10): 901-905
|
| [11] |
BlundellT. L., SibandaB. L., SternbergM. J. E., et al.. Knowledge-based prediction of protein structures and the design of novel molecules[J]. Nature, 1987, 326: 347-352
|
| [12] |
LipmanD. J., PearsonW. R.. Rapid and sensitive protein similarity searches[J]. Science, 1985, 227: 1435-1441
|
| [13] |
SaliA., PottertonL., YuanF., et al.. Evaluation of comparative protein modeling by MODELLER[J]. Proteins, 1995, 23(3): 318-326
|
| [14] |
PonderJ. W., RichardsF. M.. Tertiary templates for proteins: Use of packing criteria in the enumeration of allowed sequences for different structural classes[J]. Journal of Molecular Biology, 1987, 193(4): 775-791
|
| [15] |
JorgensenW. L., ChandrasekharJ., MaduraJ. D., et al.. Comparison of simple potential functions for simulating liquid water[J]. Journal of Chemical Physics, 1983, 79(2): 926-935
|
| [16] |
LuthyR., BowieJ. U., EisenbergD.. Assessment of protein models with three-dimensional profiles[J]. Nature, 1992, 356: 83-85
|
| [17] |
MorrisA. L., MacarthurM. W., HutchinsonE. G., et al.. Stereochemical quality of protein structure coordinates[J]. Proteins, 1992, 12(4): 345-364
|
| [18] |
LichtargeO., BourneH. R., CohenF. E.. An evolutionary trace method defines binding surfaces common to protein families[J]. Journal of Molecular Biology, 1996, 257(2): 342-358
|
| [19] |
HartiganJ. A.Clustering Algorithms[M], 1975, New York, Wiley Press
|
| [20] |
LimJ. H., YuY. G., HanY. S., et al.. The crystal structure of an Fe-superoxide dismutase from the hyperthermophile Aquifex pyrophilus at 1.9 Å resolution: Structural basis for thermostability[J]. Journal of Molecular Biology, 1997, 270(2): 259-274
|
| [21] |
HatchikianE. C., HenryY. A.. An iron-containing superoxide dismutase from the strict anaerobe Desulfovibrio desulfuricans[J]. Biochimie, 1977, 59(2): 153-161
|