Multiple sequence alignment were performed by using CLC free workbench version 4.5.1 (http://www.clcbio.com) with gap open penalty 15 and gap extension penalty 07.This program align nucleotides using a progress alignment algorithm(Feng and Doolittle, 1987).

The RNA secondary structure for ITS2 and COI were predicted by using RNADRAW online software (Christoffersen et al., 1994). RNADRAW predict RNA structure by identifying suboptimal structure using the free energy optimization methodology at a default temperature 37º C. In the current study ITS2, 5.8S and COI sequence were used separately for RNA structure prediction. The algorithm used in RNADRAW was ported from RNAFOLD program included in the Vienna RNA package. (Hofacker et al., 1994). The dynamic programming algorithm used in RNADRAW was based on the work of Zuker and Stiegler (1981) and uses energy parameters taken from Frier et al. (1986) and Jaeger et al. (1989).

The Sriobo program in Sfold (Statistical and Rational Design of Nucleic Acids) was used to predict the probable target accessibility sites (loop) for trans-cleaving ribozymes ITS2 (Ding et al., 2004). The prediction of accessibility is based on a statistical sample of the Boltzman ensemble for secondary structures. Here, we assessed the likelihood of unpaired sites for potential ribozyme target. Each mRNA exists as population of different structures. Hence, stochastic approach to the evolution of accessible sites was found appropriate (Christoffersen et al., 1994). The probability profiling approach by Ding and Lawrence (2001) reveals target sites that are commonly accessible for a large number of statistically representative structures in the target RNA. This novel approach bypasses the longstanding difficulty in accessibility evaluation due to limited representation of probable structures and high statistical confidence in predictions. The probability profile for individual bases (W=1) is produced for the region that includes a triple and two flanking sequences of 15 bases each in every site of the selected cleavage triplet (e.g. GUC).

The phylogenetic service of CLC free workbench was used for phylogenetic tree construction (CLC free workbench 4.5.1 http://www.clcbio.com).Unweighted Pair Group Method using Arithmetic average (UPGMA) (Michener and Sokal, 1957; Sneath and Sokal, 1973). Clustering algorithm was used, for interpreting phylogenies bootstrap values are used.

The length of ITS2 of 11 selected sacrcoptes isolates ranged in size 296bp and 361bp. Eleven dispersed but unambiguously conserved sequence segments encompassing about a third of the ITS2 length have been identified. They were interspersed with variable regions and gaps where size variations accumulate. The characteristics of sequences for each isolates are shown in the table 1. The length variations were observed with maximum length being 361bp in goat isolate and minimum 276bp in human isolate. The G+C content for the 2 regions of rDNA (5.8S and ITS2) of all the isolates ranged from 32% to 40%. For ITS2 regions the sequence identities ranges, with maximum 99% similarity between human isolate and wombat isolates ; 83 % similarity between rabbit isolate and goat isolate and rabbit isolate and swine isolate; 77% similarity between wombat isolate and silver fox isolates and wombat isolate and dromedary isolate; 49% between silver fox isolates and raccoon isolate and dromedary and raccoon; 35 % between raccoon isolate and red fox isolate; 23 % between red fox isolates and lynx isolate and minimum 9% similarity between dog isolate and lynx isolate. Alignment of ITS2 region is shows simple tandem repeats were present at various locations along the ITS2. The sequence similarity is more towards the 5´ end and with dispersed conserverdness in the middle than towards the 3´ end.

The characteristics of COI sequence of each isolates were shown in the table 2. In COI regions the sequence identities ranges, with maximum 98 % similarity between human and wombat isolate; 94 % similarity between rabbit

and human isolates, and between canine and human isolates; where as minimum being the 34 % between rabbit and canine isolates. Alignment of COI is shown in the figure 2. Simple tandem repeats were present at various locations along the COI sequences. The sequence similarity is more at the 5´ end with dispersed conserverdness in the middle towards the 3´.

Figure 2

Figure 1: Phylogenetic tree of sarcoptes isolates ITS2 sequences

Figure 3

Figure 2: Phylogenetic tree of sarcoptes isolates COI sequences

Secondary structure of ITS2 region was given in the Table 2. The secondary structures of the isolates from different hosts were classified into 5 groups based on the analysis of conserved stem and loops (Fig 3). Class I includes isolates of dog, red fox and class II includes isolates of dromedary and rabbit, class III includes isolates of wombat and human, class IV includes isolates of raccoon and swine and class V includes isolates of goat. Three common motifs having sequence AAAA and GCUUU respectively were conserved in all classes (Figure 5). Apart from the common conserved motifs shared among the species that are categorized into different classes, variable regions also do exists. The observed similarities at the secondary structural level are further reflected at energy level and of ITS2 and regions of various isolates.

Figure 4

Table 1: Secondary structural Features of ITS2 and 5.8S sequence of sarcoptes isolates from different hosts

The secondary structure features of COI were is given in the table 2. The secondary structures of the isolates were classified into four groups (Fig 4). Class I includes human isolate, class II includes rabbit and isolates, class III includes goat isolate and class IV includes wombat isolate. The common UUU AND AUAU respectively were conserved in all classes (Figure 6).

Figure 5

Table 2: Secondary structural Features of COI sequence of sarcoptes isolates from different hosts

Figure 6

Figure 3: Distribution of different loops in ITS2 region in sarcoptes isolates

Figure 7

Figure 4: Distribution of different loops in ITS2 region in sarcoptes isolates

Sarcoptes isolates are serious pathogen for scabies of different nature that affect vertebrate host like human, rabbit, bat, dog, swine, fox etc. in each host it cause scabies with characteristic nature. In the present investigation, the ITS2 and COI sequence reflected the trend observed in phylogeny. The more distantly related the less was the convergence at the ITS2 level (Figure-1 and 2 ). However accumulated substitutions in ITS2 leading to length variation also had a profound effect on the conserved ness among the structure. On the contrast the length is constant in the sequence of COI in all the isolates selected, indicating selective pressure cause less effect on the COI sequence of the isolates. The length of ITS2 is similar in all the isolates except rabbit, swine and wombat. This may be due to insertion affected by many factors including genetic drifts, rate of unequal cross over, relative number of and size of repeats, gene conversion, immigration and the number of loci. (Levinson and Gutman., 1987). The length variation in human isolates may be due to deletion, less tandem repeats and genetic drifts. In all other isolates there is high level of sequence conservation even in the tandem repeats. The conservation is more predominant in the case of COI sequence of all isolates selected including human. This conservation was further reflected at the secondary structure and energy level. The predicted features of ITS2 and COI using RNADRAW are given in the table 1 and 2 respectively. ITS2 RNA structure from goat and swine isolate have the highest negative free energy (-117.78 K.cal.), followed by isolates from rabbit (-103.74 K.cal.) and isolates from raccoon (-101.64 K.cal.), dromedary (-101.92 K.cal), red fox (-101.96 K.cal.), silver fox (-101.64 K.cal.). Visual comparison shows that this is related to the trend in the cladogram given in the figure 1 and2.The COI RNA structure from all the selected isolates except human shows identical negative free energy. This exception of human correlates the feature of the sequence of ITS2 and COI. The relative uniform negative free energy in COI comparing to ITS2 negative free energy proves that COI sequence analysis is better than ITS2 in establishing the phylogeneity of lower taxa. This convergence at secondary structural level among a few isolate from different hosts may be due to the evolutionary pressure on ITS2 and COI to maintain the RNA secondary structure involved in post -transcriptional processing of rRNA (Shinohara et al., 1999). Secondary structure prediction for ITS2 and COI regions shows that these domains base pair to be form a core region central to several stem features implying that conserved ness is more important for the proper rRNA folding pattern (Wesson et al., 1992). The conserved ness is more obvious in the case COI than ITS2 indicating COI region is a better marker for phylogenetic study than ITS2 or in combination of ITS2 and COI provide a better understanding the deep phylogeny of the lower taxa (Navajas and Fenton, 2000). Studies in Tetranchus urticae revealed very low level of variation at the ITS2 locus in this species. In Casava green mite (Mononychellus progresivus) Navajas et al. (1994) found a similar pattern of variation with intraspecific diversity being lows for both ITS2 and COI, but lower for ITS2 alone. In the present investigation all the isolates studied shows sequence variation in both ITS2 and COI regions. The sequence variation is more in ITS2 than COI. The result suggests that the difference and conserved ness observed between ITS2 and COI of different isolates are not 'neutral' and are not simple accumulated random nucleotide changes, but bare a significant functional trend. The study of Wesson et al. (1992) in mosquito genera found that intra spacer variable regions appear to co-evolve and that ITS2 and COI variation is constrained to some extent by its secondary structure . Study by Van der Sande et al. (1992) in yeast have demonstrated that ITS2 is essential for the correct and efficient processing and maturation of certain ribosomal unit and finally for the efficient functionary of the rDNA cluster.