Abstract
Acetyl-CoA carboxylase (ACCase), a biotin-dependent enzyme that catalyses the first committed step of fatty acid biosynthesis, is considered as a potential target for improving lipid accumulation in oleaginous feedstocks, including microalgae. ACCase is composed of three distinct conserved domains, and understanding the structural details of each catalytic domain assumes great significance to gain insights into the molecular basis of the complex formation and mechanism of biotin transport. In the absence of a crystal structure for any single heteromeric ACCase till date, here we report the first heteromeric association model of ACCase from an oleaginous green microalga, Chlorella variabilis, using a combination of homology modelling, docking and molecular dynamic simulations. The binding site of the docked biotin carboxylase (BC) and carboxyltransferase (CT) were predicted to be contiguous but distinct in biotin carboxyl carrier protein (BCCP) molecule. Simulation studies revealed considerable flexibility for the BC and CT domains in the BCCP-bound forms, thus indicating the adaptive behaviour of BCCP. Further, principal component analysis revealed that in the presence of BCCP, the BC and CT domains exhibited an open-state conformation via the outward clockwise rotation of the binding helices. These conformational changes might be responsible for binding of BCCP domain and its translocation to the respective active sites. Various rearrangements of inter-domain hydrogen bonds (H-bonds) contributed to conformational changes in the structures. H-bond interactions between the interacting residue pairs involving Glu201BCCP/Arg255BC and Asp224BCCP/Gln228CT were found to be essential for the intermolecular assembly. The present findings are consistent with previous biochemical studies.
Similar content being viewed by others
References
Podkowinski, J., & Tworak, A. (2011). BioTechnologia - Journal of Biotechnology, Computational Biology and Bionanotechnology, 92, 321–335.
Klaus, D., Ohlrogge, J. B., Neuhaus, H. E., & Dormann, P. (2004). Planta, 219, 389–396.
Roesler, K., Shintani, D., Savage, L., Boddupalli, S., & Ohlrogge, J. (1997). Plant Physiology, 113, 75–81.
Wan, M., Liu, P., Xia, J., Rosenberg, J. N., Oyler, G. A., Betenbaugh, M. J., et al. (2011). Applied Microbiology and Biotechnology, 91, 835–844.
Huerlimann, R., & Heimann, K. (2012). Critical Reviews in Biotechnology, 1–17.
Zhu, X. L., Yang, W. C., Yu, N. X., Yang, S. G., & Yang, G. F. (2011). Journal of Molecular Modeling, 17, 495–503.
Zhu, X. L., & Yang, G. F. (2012). Current Computer-Aided Drug Design, 8, 62–69.
Zhu, X. L., Zhang, L., Chen, Q., Wan, J., & Yang, G. F. (2006). Journal of Chemical Information and Modeling, 46, 1819–1826.
Zhu, X. L., Fei, H. G., Zhan, C. G., & Yang, G. F. (2009). Journal of Chemical Information and Modeling, 49, 1936–1943.
Tong, L. (2005). Cellular and Molecular Life Sciences, 62, 1784–1803.
Diacovich, L., Mitchell, D. L., Pham, H., Gago, G., Melgar, M. M., Khosla, C., et al. (2004). Biochemistry, 43, 14027–14036.
Athappilly, F. K., & Hendrickson, W. A. (1995). Structure, 3, 1407–1419.
Waldrop, G. L., Rayment, I., & Holden, H. M. (1994). Biochemistry, 33, 10249–10256.
Cho, C. Y., Yu, L. P., & Tong, L. (2009). Journal of Biological Chemistry, 284, 11690–11697.
Bilder, P., Lightle, S., Bainbridge, G., Ohren, J., Finzel, B., Sun, F., et al. (2006). Biochemistry, 45, 1712–1722.
Mochalkin, I., Miller, J. R., Evdokimov, A., Lightle, S., Yan, C., Stover, C. K., et al. (2008). Protein Science, 17, 1706–1718.
Polyak, S. W., Abell, A. D., Wilce, M. C. J., Zhang, L., & Booker, G. W. (2012). Applied Microbiology and Biotechnology, 93, 983–992.
Marti-Renom, M. A., Stuart, A. C., Fiser, A., Sanchez, R., Melo, F., & Sali, A. (2012). Annual Reviews of Biophysics and Biomolecular Structures, 29, 291–325.
Smith, G. R., & Sternberg, M. J. E. (2002). Current Opinion in Structural Biology, 12, 28–35.
Lietzan, A. D., Menefee, A. L., Zeczycki, T. N., Kumar, S., Attwood, P. V., Wallace, J. C., et al. (2011). Biochemistry, 50, 9708–9723.
Jitrapakdee, S., & Wallace, J. C. (2003). Current Protein & Peptide Science, 4, 217–229.
Misra, N., & Panda, P. K. (2013). OMICS: A Journal of Integrative Biology, 17, 173–186.
Baral, M., Misra, N., Panda, P. K., & Thirunavoukkarasu, M. (2012). Biotechnology and Biotechnological Equipment, 26, 2794–2800.
Misra, N., Patra, M. C., Panda, P. K., Sukla, L. B., & Mishra, B. K. (2013). Journal of Biomolecular Structure and Dynamics, 31, 241–257.
Blatti, J. L., Beld, J., Behnke, C. A., Mendez, M., Mayfield, S. P., & Burkart, M. D. (2012). PLoS One, 7, 1–12.
Radakovits, R., Jinkerson, R. E., Darzins, A., & Posewitz, M. C. (2010). Eukaryotic Cell, 9, 486–501.
Yu, W. L., Ansari, W., Schoepp, N. G., Hannon, M. J., Mayfield, S. P., & Burkart, M. D. (2011). Microbial Cell Factories, 10, 91–102.
Sali, A., & Blundell, T. L. (1993). Journal of Molecular Biology, 234, 779–815.
Katoh, K., Kuma, K., Toh, H., & Miyata, T. (2005). Nucleic Acids Research, 33, 511–518.
Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., & Kumar, S. (2011). Molecular Biology and Evolution, 28, 2731–2739.
Morris, G. M., Goodsell, D. S., Halliday, R. S., Huey, R., Hart, W. E., Belew, R. K., et al. (1998). Journal of Computational Chemistry, 19, 1639–1662.
Wang, Y., Bolton, E., Dracheva, S., Karapetyan, K., Shoemaker, B. A., Suzek, T. O., et al. (2010). Nucleic Acids Research, 38, D255–D266.
Schneidman-Duhovny, D., Inbar, Y., Nussinov, R., & Wolfson, H. J. (2005). Nucleic Acids Research, 33, 363–367.
Van Der Spoel, D., Lindahl, E., Hess, B., Groenhof, G., Mark, A. E., & Berendsen, H. J. (2005). Journal of Computational Chemistry, 26, 1701–1718.
Oostenbrink, C., Villa, A., Mark, A. E., & van Gunsteren, W. F. (2004). Journal of Computational Chemistry, 25, 1656–1676.
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., Dinola, A., & Haak, J. R. (1984). Journal of Chemical Physics, 81, 3684–3690.
Hess, B., Bekker, H., Berendsen, H. J. C., & Fraaije, J. G. E. M. (1997). Journal of Computational Chemistry, 18, 1463–1472.
Darden, T., York, D., & Pedersen, L. (1993). Journal of Chemical Physics, 98, 10089–10092.
Schuttelkopf, A. W., & van Aalten, D. M. (2004). Acta Crystallographica Section D: Biological Crystallography, 60, 1355–1363.
Humphrey, W., Dalke, A., & Schulten, K. (1996). Journal of Molecular Graphics, 14, 33–38.
Yang, L. W., Eyal, E., Bahar, I., & Kitao, A. (2009). Bioinformatics, 25, 606–614.
Lauria, A., Ippolito, M., & Almerico, A. M. (2009). Computational Biology and Chemistry, 33, 386–390.
Laskowiski, R. A., Mac Arthur, M. W., Moss, D. S., & Thornton, J. M. (1993). Journal of Applied Crystallography, 26, 283–291.
Benkert, P., Kunzli, M., & Schwede, T. (2009). Nucleic Acids Research, 37, W510–W514.
Wiederstein, M., & Sippl, M. J. (2007). Nucleic Acids Research, 35, W407–W410.
Eisenberg, D., Luthy, R., & Bowle, J. U. (1997). Methods in Enzymology, 277, 396–404.
Colovos, C., & Yeates, T. O. (1993). Protein Science, 2, 1511–1519.
Benkert, P., Tosatto, S. C., & Schomburg, D. (2008). Proteins, 71, 261–277.
Galperin, M. Y., & Koonin, E. V. (1997). Protein Science, 6, 2639–2643.
Climent, I., & Rubio, V. (1986). Archives of Biochemistry and Biophysics, 251, 465–470.
Fan, C., Moews, P. C., Walsh, C. T., & Knox, J. R. (1994). Science, 266, 439–443.
Hara, T., Kato, H., Katsube, Y., & Oda, J. (1996). Biochemistry, 35, 11967–11974.
Thoden, J. B., Wesenberg, G., Raushel, F. M., & Holden, H. M. (1999). Biochemistry, 38, 2347–2357.
Thoden, J. B., Firestine, S., Nixon, A., Benkovic, S., & Holden, H. M. (2000). Biochemistry, 39, 8791–8802.
Thoden, J. B., Blanchard, C. Z., Holden, H. M., & Waldrop, G. L. (2000). Journal of Biological Chemistry, 275, 16183–16190.
Kondo, S., Nakajima, Y., Sugio, S., Yong-Biao, J., Sueda, S., & Kondo, H. (2004). Acta Crystallographica, D60, 486–492.
Post, L. E., Post, D. J., & Raushel, F. M. (1990). Journal of Biological Chemistry, 265, 7742–7747.
Reinstein, J., Brune, M., & Wittenghofer, A. (1988). Biochemistry, 27, 4712–4720.
Saraste, M., Sibbald, P. R., & Wittinghofer, A. (1990). Trends in Biochemical Sciences, 15, 430–434.
Cronan, J. E., & Waldrop, G. L. (2002). Progress in Lipid Research, 41, 407–435.
Samols, D., Thornton, C. G., Murtif, V. L., Kumar, G. K., Haase, F. C., & Wood, H. G. (1988). Journal of Biological Chemistry, 263, 6461–6464.
Toh, H., Kondo, H., & Tanabe, T. (1993). European Journal of Biochemistry, 215, 687–696.
Pal, D., & Chakrabati, P. (2002). Biopolymers, 63, 195–206.
Gunasekaran, K., Ramakrishnan, C., & Balaram, P. (1996). Journal of Molecular Biology, 264, 191–198.
Thelen, J. J., Mekhedov, S., & Ohlrogge, J. B. (2001). Plant Physiology, 125, 2016–2028.
Fall, R. R., Glaser, M., & Vagelos, P. R. (1976). Journal of Biological Chemistry, 251, 2063–2069.
Holden, H. M., Benning, M. M., Haller, T., & Gerlt, J. A. (2001). Accounts of Chemical Research, 34, 145–157.
Kozaki, A., Mayumi, K., & Sasaki, Y. (2001). Journal of Biological Chemistry, 276, 39919–39925.
Amadei, A., Linssen, A. B. M., & Berendsen, H. J. C. (1993). Proteins: Structure Function, and Bioinformatics, 17, 412–425.
Garcia, A. E. (1992). Physical Review Letters, 68, 2696–2699.
Acknowledgements
This work was partially funded by the Department of Biotechnology, Government of India. N.M. acknowledges the support of the Council for Scientific and Industrial Research, India for granting Senior Research Fellowship. Technical help rendered by Mr. Bikram Kumar Parida in preparation of the figures is gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Fig. S1
Multiple sequence alignment of selected BC homologs from Chlorella variabilis (Cv, E1Z54P), Escherichia coli (Ec, P24182), Staphylococcus aureus (Sa, Q99TW7), Cyanidioschyzon merolae (Cm, CMS299C), Arabidopsis thaliana (At, O04983), Brassica napus (Bn, D9I767), Ricinus communis (Rc, B9S1E2), Jatropha curcas (Jc, F2WMV4), Glycine max (Gm, O23960), Arachis hypogaea (Ah, E6Y6R4), Elaeis guineinsis (Eg, D2CFM8), and Volvox carteri (Vc, D8UF54). ‘▼’ indicates amino acids lying within 4 Å of bound ATP. ‘*’ denotes conserved amino acids in all sequences. The residues of the P-loop region are boxed. The color code for the residues and the conservation of pattern follows the Clustal program (JPEG 79 kb)
Fig. S2
Multiple sequence alignment of the biotinyl domain of BCCP homologs from Chlorella variabilis (Cv, E1Z723), Volvox carteri (Vc, D8U256), Chlamydomonas reinhardtii (Cr, A8JDA7), Anabaena variabilis (Av, Q3WAQ4), Ricinus communis (Rc, B9RM56), Jatropha curcas (Jc, F2WMV5), Glycine max (Gm, Q42783), Arabidopsis thaliana (At, F4KE21), Brassica napus (Bn, G4WXD7), Arachis hypogaea (Ah, E6Y6R2), Escherichia coli (Ec, P0ABD8), and Cyanidioschyzon merolae (Cm, CMV134C). ‘▼’ indicates the core hydrophobic residues. ‘●’ indicates residues involved in binding to BC domain. ‘▀’ indicates residues involved in binding to CT domain. ‘*’ denotes conserved amino acids in all sequences. The residues of the thumb regions are boxed. The color code for the residues and the conservation of pattern follows the Clustal program (JPEG 12 kb)
Fig. S3
Multiple sequence alignment of the Zinc domain present in β subunit of CT homologs from Chlorella variabilis (Cv, F2YGI4), Chlamydomonas reinhardtii (Cr, A8JHU1), Volvox carteri (Vc, D8U455), Anabaena variabilis (Av, Q3MGS5), Cyanidioschyzon merolae (Cm, CMV207C), Arabidopsis thaliana (At, P56765), Brassica napus (Bn, G4XGU6), Glycine max (Gm, P49158), Ricinus communis (Rc, G1D767), and Escherichia coli (Ec, D3QL09). The conserved Cysteine residues of ‘Zinc ribbon motif’ is indicated by ‘*’. The color code for the residues and the conservation of pattern follows the Clustal program (JPEG 4 kb)
Fig. S4
ERRAT plot for the models. a BC domain. b BCCP domain. c α subunit of CT domain. d β subunit of CT domain. The ‘overall quality factor’ indicates the percentage of the protein for which the calculated error value falls below the 95 % rejection limit, respectively. (JPEG 30 kb)
Fig. S5
PROSA plot showing the location of the Z-score for the models. a BC domain. b BCCP domain. c α subunit of CT domain. d β subunit of CT domain. The calculated Z-score for all the developed models are in the range of experimentally determined protein structure present in PDB (JPEG 18 kb)
Fig. S6
PROSA energy plot for the models. a BC domain. b BCCP domain. c α subunit of CT domain. d β subunit of CT domain. The plot signifies the local model quality by plotting energies as a function of amino acid sequence where positive values indicate erroneous parts. Overall, the residue energies of all the models are largely negative (JPEG 17 kb)
Fig. S7
Ramachandran plot for the models. a BC domain. b BCCP domain. c α subunit of CT domain. d β subunit of CT domain. The most favoured, additional allowed, generously allowed and disallowed regions are represented in red, deep yellow, light yellow, and white, respectively (JPEG 48 kb)
Rights and permissions
About this article
Cite this article
Misra, N., Panda, P.K., Patra, M.C. et al. Insights into Molecular Assembly of ACCase Heteromeric Complex in Chlorella variabilis—A Homology Modelling, Docking and Molecular Dynamic Simulation Study. Appl Biochem Biotechnol 170, 1437–1457 (2013). https://doi.org/10.1007/s12010-013-0277-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12010-013-0277-0