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Indian Journal of Microbiology logoLink to Indian Journal of Microbiology
. 2011 Jun 26;52(2):263–269. doi: 10.1007/s12088-011-0191-5

Computational Modeling Deduced Three Dimensional Structure of Cry1Ab16 Toxin from Bacillus thuringiensis AC11

S Kashyap 1,
PMCID: PMC3386433  PMID: 23729892

Abstract

The first theoretical structural model of newly reported Cry1Ab16 δ-endotoxin produced by Bacillus thuringiensis AC11 was predicted using homology modeling technique. Cry1Ab16 resembles the Cry1Aa protein structure by sharing a common three domains structure responsible in pore forming and specificity determination along with few structural deviations. The main differences between the two is in the length of loops, absence of α7b, α9a, α10b, α11a and presence of additional β12b, α13 components while α10a is spatially located at downstream position in Cry1Ab16. A better understanding of the 3D structure shall be helpful in the design of domain swapping and mutagenesis experiments aimed at improving toxicity.

Electronic supplementary material

The online version of this article (doi:10.1007/s12088-011-0191-5) contains supplementary material, which is available to authorized users.

Keywords: Insecticidal crystal protein, Cry toxins, α-Helical bundle, Receptor insertion, Third-party annotation


Insecticidal crystal protein (ICP) produced by the soil bacterium Bacillus thuringiensis (Bt) belongs to a large toxin family with a target spectrum spanning insects, nematodes, flatworm, protozoa and until now is considered harmless to mammals [1]. The mode of action of Cry toxins is still a matter of hypotheses; the Cry1A series of toxins are produced as inactive protoxins within Bt sporangia and after ingestion by a susceptible insect larva, protoxins are proteolytically cleaved to a core toxin fragment that binds to four different types of high affinity receptor sites on the insect gut membrane. Receptor binding phenomenon induces the conformational changes in the toxin necessary for its membrane insertion. The inserted toxin disturbs the cellular electrolyte balance by creating pores in the cell membrane, leading to cell lysis and finally to larval death [2, 3]. Crystal structures of the active toxins in solutions have been analyzed for Cry1Aa [4], Cry2A [5], Cry3A [6], Cry3B [7], Cry4Ba [8], and Cry4Aa [9] by X-ray diffraction crystallography and Cry11Bb [10], Cry5Aa [11], and Cry5Ba [12] has been predicted by homology modeling method. These reports have supported the three domains hypothesis [4] reveling domain I to be consisting of α-helical bundle, domain II of antiparallel β sheets and domain III made up of β sandwich. Hitherto Cry1 toxins have extensively used in studies of lepidopteron insect control and have attracted less attention and fewer efforts have been focused on Cry1Ab member’s structural studies. Since for a comprehensive understanding of mechanisms underlying toxicity it is imperative to have three-dimensional structural information of all the prevalent Cry family members. Here, a model for structure of the Cry1Ab16 toxin based on the hypothesis of structural similarity [4] is reported. This model shall provide further initiation into the domain-mutagenesis experiments among Cry toxins for improving their toxicity.

Materials and Methods

The model coordinates were developed essentially by generating alignments among target sequence (AAK 55546) with existing PDB entries. Alignment of those structure sequence that showed amino acid and secondary structure similarity where directly used in homology modeling program MODELLER 9VB [13]. The resulted preliminary model was validated with PROCHECK [http://nihserver.mbi.ucla.edu/SAVES/Info.php], WHAATIF [http://swift.cmbi.ru.nl/servers/html/index.html] ProSA [https://prosa.services.came.sbg.ac.at] and RAMPAGE [http://mordred.bioc.cam.ac.uk/] servers. Possible outliers and side chains static constrain were minimized by refining the model with Summa’s server [http://silvio.cs.uno.edu/proteinrefinementserver/]. Potential deviations were calculated with SUPERPOSE web server (http://wishart.biology.ualberta.ca/cgi-bin/) for root mean square deviation (RMSD).

Results and Discussion

The structural model of the Cry1Ab16 core toxin was obtained comprising of 605 (68–673) amino acids out of 1155 long primary structure. As a general practice using multiple template alignment in modeling information is preferred to avoid biased folding and generation of atomic clashes and highly strained bond length and angles in target molecule. The secondary structure based alignment of each domain (I, II and III) found to be reliable and few manual corrections are to be incorporated within the possible limits of flanking domains to adjust the gaps and aligning the conserved block elements. The sequence identity for each template and their sequence alignment is shown in Table 1 and Figs. 1 and 2.

Table 1.

The percentage identity score of Cry1Ab16 sequence verses Cry1Aa (1ciy:A); Cry3Aa (1dlc:A); Cry8ea1 (2qkg:A). The comparative scores were read out of secondary structure alignments using SAS software (http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/sas)

Sl no. Smith–Waterman Score % identity a.a. overlap Seq. length Z-score E value PDB code Protein name
1. 606 Cry 1Ab16
2. 3337 87.8 580 577 4015.0 7.9e-217 1ciy:A Cry 1Ab1
3. 1254 36.4 563 584 1500.3 9.2e-77 1dlc:A Cry 3Aa
4. 1305 38.0 600 589 1438.8 2.5e-73 2qkg:A Cry8ea1
5. 1150 34.7 585 589 1296.6 2e-65 1ji6:A Cry3bb1

Fig. 1.

Fig. 1

Amino acid sequence alignment of the Cry1Ab16 including those of genuine δ endotoxins. The sequence displayed are from Cry1Aa (1ciy:A); Cry3Aa (1dlc:A); Cry8ea1 (2qkg:A); Cry3bb1 (1ji6:A). All sequences were obtained from PDB database. The sequential number above represents the number of amino acids. The residues highlighted in red color represent helix; those in blue represent strand; in green represent turn; and those in black represent coil and are generated using SAS software (http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/sas)

Fig. 2.

Fig. 2

The two-dimensional structure annotation showing sequential arrangements of helices and sheets in Cry1Ab16 toxin molecule using the PDB sum (www.ebi.ac.uk/pdbsum/)

The validation of model for artifacts and errors is evaluated with webs based PROCHECK and WHATIF. Another program, ProSA evaluates the model by parsing its coördinates and energy using a distance based pair potential by capturing the solvent exposed protein residues. This program consists of sufficiently large database of natural structures, which it deploys in the validation of experimental and computational models [14]. The results are displayed in form of Z-score and plot of residues energy. The Z-score shows overall model quality and provides deviations from the random conformation. It also checks whether the Z-score of the protein is within the range of similar proteins (NMR and X-ray derived structures). Result in Fig. 3a shows the plot location of the Z-score. The value −10.09 is among native conformation and overall residues energy of developed structure is found to be largely negative. The Ramachandran plot showed that most of the residues (~91.2%) have Φ and Ψ angles in the favored regions and additionally ~7.1% is in allowed region, still some proline and glycine residues (1.7%) fall in outlier region (Fig. 3b). Most bond lengths, bond angles, and torsion angles were among values expect for a naturally folded protein. Structural comparison of the Cry1Aa toxin with the Cry1Ab16 model shows correspondence with the general Cry toxin model (a α + β structure with three domains, Fig. 3a) and their superimposed Cα backbone traces showed low RMSD (1.14Ǻ). This low value show that final developed structure is similar to Cry1Aa (Fig. 4a). This condition is anticipated since both the sequence has a high homology. The few differences observed between them were in length of the loops of domains II and III absence of α7b, α9a, α10b, α11a and presence of additional β12b, α13 components. The component α10a is located spatially at different position (Table 2). This RMSD after optimal superposition between model and the native structure is frequently used as a means of correctness determination, In general the accuracy of the backbone trace of structure model has a profound impact on the ability to accurately predict near natural state of protein structure, including the side chain placement and later refining it into natural state like protein structure [15].

Fig. 3.

Fig. 3

Evaluation of Cry1Ab16 model a on ProSA server. The plot indicating nearness of developed model with the native structures. The Z-score of evaluated model is shown as large black dot. b Ramachandren plot analysis showing placement of its residues in deduced model. General plot statistics are: 551 (91.2%) residues in favored regions; 43 (7.2%) of residues were in allowed regions; the outlier residues totals to 10 (1.7%) only. The plot was generated using RAMPAGE web server (http://mordred.bioc.cam.ac.uk/)

Fig. 4.

Fig. 4

Complete protomer structure of the Cry1Ab16 toxin. a Superposition Cα backbone of Cry1Aa1 (blue) and Cry1Ab16 (pink) molecules. Images are generated using UCF chimera (http://www.cgl.ucsf.edu/chimera). b Ribbon diagram showing three-dimensional three domain oligomer structure. c Surface electrostatic potential representation of Cry1Ab16 toxin

Table 2.

The comparison among three domain structural components of Cry1Aa (1ciy:A) and Cry1Ab16 toxin molecules

Cry1Aa Cry1Ab16 Cry1Aa Cry1Ab16 Cry1Aa Cry1Ab16
Domain I Domain II Domain III
α1 Pro35–Ser48 Pro70–Ser83 α8a Pro271–Glu274 Pro306–Asn310 α11a Leu475–Lys477
α2a Aln54–Ile63 Aln89–Trp100 α8b Ala284–Gln289 Ser318–Ser325 β13a Ser486–Val488 Ser522–Val524
α2b Pro70–Ile84 Pro105–Gly119 β2 Asp298–His310 Ile334–His341 β13b Ile498–Arg 501 Ile534–Arg 537
α3 Glu90–Ala119 Arg128–Ala154 β3 Phe313–Trp316 Glu343–His345 β14 Gly505–Asn513 Gly541–Asn549
α4 Pro124–Leu148 Pro159–Phe183 β4 Gly318–Pro325 Glu348–Leu418 β15 Tyr522–Ser530 Tyr558–Ser566
α5 Gln154–Trp182 Arg189–Trp217 α9a Val326–Phe328 β16 Leu534–Ile540 Leu570–Ile576
α6 Ala186–Val218 Ala221–Val253 β5 Val348–Ser351 Gly353–Ser359 β17 Arg543–Phe550 Arg579–Phe586
α7a Ser223–Thr239 Ser258–Tyr285 β6 Ile357–Arg367 Arg384–Ala387 α12a Ser562–Ser564 Ser598–Ser600
α7b Leu241–Tyr250 β7 Leu380–Leu383 Tyr394–Leu401 β18 Arg566–Gly569 Arg602–Gly605
β1a Glu266–Thr269 Ile302–Thr304 β8 Gly385–Phe390 Val417–Ala424 β19 Ser580–His588 Ser616–His624
β9 Thr400–Tyr402 Ala434–Tyr436 β20 Val569–Pro605 Val632–Pro641
α10a Ser410–Asp412 Ser441Glu447a α13 Leu652–Ala658
α10b Pro423–Gly426
β10 His429–Val434 His463–Met470
β11 Phe452–His456 Pro486–His492
β12a Thr471–Pro474 Thr507–Pro510
β12b Thr515–Leu517

– Similar component not present

aComponents in italics are spatially present at downstream sites

Domain I is composed of N terminal 234 (70–304) amino acid residues folded into a bundle of amphipathic helices and consist of nine α-helices and two small β-strands (Fig. 4b). This feature is believed to be highly conserved among the Cry toxins [4] and it has been proposed that it is involved in ‘pore-formation’ analogy with the helical bundle pore forming structures of colicin A toxin [16] and diphtheria toxin [17]. Evidence from several studies has shown that the central helix (α5) is specifically involved in the ‘pore’ formation process [18, 19].

As like other Cry toxins, domain II of the Cry1Ab16 toxin, consists of three Greek key anti parallel β sheets arranged in a β prism topology, each one ending in exposed loop regions. It is comprised by residues 306–517(Fig. 4), one helix and 11 β-strands. These loops are thought to participate in receptor binding and hence in determining the specificity of the toxin. Ge et al. [20] managed to alter toxicity in Cry1Ac by exchanging the 332–450 amino acids in domain II with equivalent segment in Cry1Aa. A similar approach is still to be done in Cry1Ab16.

Domain III composed of residues 522–658 and showed highly conserved residues. Calculation of amphiphilicity with the Hoops and Woods value, indicated that α1, α2 (a & b), α3, α6, are well exposed and available for interaction, but helix α1 seems to be packed with domain II. This condition of α1 may cause it to show certain degree of displacement in post receptor binding phenomenon [21]. The possibility of regions outside domain II being involved in receptor recognition was evaluated by mutagenesis study in domain III loop of Cry1Ac [22].

The Coulombic surface charge distribution pattern in the model corresponds to negatively charged patch along β4 and β13 of domains II and III (Fig. 4c). While data of Gazit et al. [23] relates well with domain I, who initially suggested that α4 and α5 insert into the lumen receptor in an antiparallel helical hairpin manner. It is possible that according to the surface electrostatic potential of helices 4 and 5, there is a neutral region in the middle of the helices which shows, if the umbrella model is correct that both helices cross the membrane with their polar sides exposed to the solvent, as it has been suggested by the results of mutagenesis experiments in case of the Cry1Ac toxin [23].

Kumar and Aronson [24] demonstrated that mutation in the base of helix 3 and the loop between α3 and α4 that cause alterations on the balance of negative charged residues may cause loss of toxicity. Mutations in helices α2, α6 and the surface residues of α3 have no important effect on toxicity; meanwhile, helices α4 and α5 seem to be very sensitive to mutations. Helix α1 probably does not play an important part in toxin activity after cleavage of the protoxin. It is possible that mutations aimed to an increase in amphilicity in these helices will improve the pore forming activity of Cry1Ab type of toxins. Also, chemical modifications of four Arg or seven Tyr residues resulted in greatly reduced toxicity and binding in Cry1A toxin [25].

It is presumed that additional and dislocated components may have some implications in specificity of the Cry1Ab16 toxin. Mutations in defined regions of the Cry1Aa toxin have been identified (equivalent to residues in the β6-β7 loop of Cry1Ab16), as essential for binding to the membrane of midgut cells of Bombyx mori [20, 26]. In the Cry1Ab16 model, this region is longer than their counterparts. Loop β2-β3 seems also to be able to modulate the toxicity and specificity in Cry1C [27]. The dual specificity of Cry2Aa for Lepidoptera and Diptera has been mapped to residues that correspond in the Cry1Ab16 theoretical model to α sheet 1, strand β6, and loop between β6 and β7. This loop probably interacts with the receptor through both hydrophobic and electrostatic interactions; that probably also helps in receptor binding by providing more mobility to glycine and other like residues that may interact through salt bridges with the receptor.

Loop β4–β5 is hydrophilic, and the charged residues at the tip of the loop are probably important determinants of insect specificity. Presence of aromatic amino acids within and adjoining vicinity of apical loops 2 and 3 of domain II has been postulated for protein–protein, protein–legend interactions and have been reported to tend to interact specifically with the outer envelope of lipid membrane [28] these residues were proposed to interact with hydrophobic lipids tails. The exposed loop architecture has structural affinity for binding to a glycoprotein receptors of the target insect membrane [29]. Several studies in Cry1Ac [4] and Cry1Aa [30, 31] showed that mutation in conserved block residues led to decreased toxicity and alter channel properties. Similar alterations in case of Cry1Ab16 of conserved block residues may also causes altered toxin properties.

Finally, evidence presented here, based on the identification of structural equivalent residues of Cry1Ab16 toxin through homology modeling show that, due to high amino acid homology, absence and presence of structural components few of which are at different positions, Cry1Ab16 shares a common three-dimensional structure. This is the first model of a Cry1Ab16 protein and major challenge still is for its crystallization and verification of predicted structural variations.

Electronic supplementary material

Acknowledgment

The author is grateful to ICAR for RAship. Infrastructure, computational facility and encouragements by Director of NBAIM are duly acknowledged.

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