Antibiogram, Biochemical Reactions

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Staphylococci are the important class of pyogenic Grampositive spherical bacteria resembling to the grapes like structure.

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American Journal of BioScience 2015 36: 212-220 Published online October 15 2015 http://www.sciencepublishinggroup.com/j/ajbio doi: 10.11648/j.ajbio.20150306.13 ISSN: 2330-0159 Print ISSN: 2330-0167 Online Antibiogram Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus Mahendra Kumar Trivedi 1 Alice Branton 1 Dahryn Trivedi 1 Gopal Nayak 1 Sambhu Charan Mondal 2 Snehasis Jana 2 1 Trivedi Global Inc. Henderson USA 2 Trivedi Science Research Laboratory Pvt. Ltd. Hall-A Chinar Mega Mall Chinar Fortune City Hoshangabad Rd. Bhopal Madhya Pradesh India Email address: publicationtrivedisrl.com S. Jana To cite this article: Mahendra Kumar Trivedi Alice Branton Dahryn Trivedi Gopal Nayak Sambhu Charan Mondal Snehasis Jana. Antibiogram Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus. American Journal of BioScience. Vol. 3 No. 6 2015 pp. 212-220. doi: 10.11648/j.ajbio.20150306.13 Abstract: Staphylococcus aureus S. aureus is the key organism for food poisoning due to massive production of heat stable exotoxins. The current study was attempted to investigate the effect of Mr. Trivedi’s biofield treatment on S. aureus. S. aureus ATCC 25923 was divided into two parts Group Gr. I: control and Gr. II: treatment. After biofield treatment Gr. II was further subdivided into two parts Gr. IIA and Gr. IIB. Gr. IIA was analyzed on day 10 while Gr. IIB was stored and analyzed on day 159 after revival Study I. The revived sample Gr. IIB were retreated on day 159 Study II and divided into three separate tubes. Tube 1 was analyzed on day 5 likewise tube 2 and 3 were analyzed on day 10 and 15 respectively. All the experimental parameters were studied using automated MicroScan Walk-Away ® system. The 16S rDNA sequencing was carried out in Gr. IIA sample to correlate the phylogenetic relationship of S. aureus with other bacterial species. The antimicrobial susceptibility and minimum inhibitory concentration showed significant alteration i.e. 92.86 and 90.00 respectively in treated cells of S. aureus as compared to control. The biochemical reactions also showed the significant 35.71 alteration in treated sample with respect to control. The biotype number and microbial species were substantially changed in Gr. IIA 767177 Staphylococcus cohnii subsp. urealyticum on day 10 while only the biotype numbers were changed in rest of the treated samples as compared to control 307016 S. aureus. The 16S rDNA analysis showed that the identified strain in this experiment was S. aureus GenBank Accession No.: L37597 after biofield treatment. However the nearest homolog genus-species was found as Staphylococcus simiae GenBank Accession No.: DQ127902. These results suggested that biofield treatment has a significant impact on S. aureus in lyophilized as well as revived state. Keywords: Staphylococci Staphylococcus aureus Antimicrobial Sensitivity Biofield Treatment Biochemical Reaction Biotype 16S rDNA Gram-Positive Bacteria 1. Introduction Staphylococci are the important class of pyogenic Gram- positive spherical bacteria resembling to the grapes like structure. They are considered as the third most important cause of food-borne disorders in the world 1. It is the main pathogen for mastitis in the milch animals 2. It is estimated that in US alone food-borne illnesses affect 6 to 80 million people each year causing up to 9000 deaths 3. Based on literature various genes have been found as a target for identification of S. aureus with the help of 16S rDNA sequence viz. heat shock protein 60 hsp60 4 superoxide dismutase A sodA 5 and RNA polymerase B rpoB 6. S. aureus has developed resistance to the most classes of the antimicrobial agents. Penicillin is the drug of choice to treat against Staphylococcus infection but due to penicillinase or β-lactamase enzyme that destroy the penicillin leads to resistance against S. aureus 7. Therefore some alternative strategies are needed to treat against staphylococci infections. National Institute of Health/National Center for Complementary and Alternative Medicine NIH/NCCAM have reported that biofield putative energy fields or electromagnetic based energy therapies used to promote

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American Journal of BioScience 2015 36: 212-220 213 health and healing 8. Biofield energy treatment has been known as an alternative approach that may be useful to alter the sensitivity pattern of the antimicrobials. Harold Saxton Burr had performed the detailed studies on the correlation of electric current with physiological processes and suggested that every single process in the human body had an electrical significance 9. The electrical process that happening in the human body have strong relationship with magnetic field as required by Ampere’s law which stated that the moving charge produces magnetic field in surrounding space 10 11. Thus the human body emits the electromagnetic waves in the form of bio-photons which surrounds the body and it is commonly known as biofield. Therefore the biofield consists of an electromagnetic field being generated by moving electrically charged particles ions cell molecule etc. inside the human body. Prakash et al. 2015 reported that the various scientific instruments such as Kirlian photography polycontrast interference photography and resonance field imaging can be extensively used to measure the biofield of human body 12. Thus a human has the ability to harness the energy from environment or universe and can transmit into any living or nonliving objects around the Globe. The objects always receive the energy and respond into useful way that is called biofield energy and the process is known as biofield treatment. Mr. Trivedi’s biofield treatment The Trivedi Effect ® has been known to alter the structural physical and thermal properties of several metals in materials science 13-15 improved the overall productivity of crops 16 17 altered characteristics features of microbes 18-20 and improved growth and anatomical characteristics of various medicinal plants 21 22. Due to the clinical significance of this organism and literature reports on biofield treatment the present work was undertaken to evaluate the impact of biofield treatment modality on S. aureus in relation to the antimicrobials susceptibility biochemical reactions biotyping and 16S rDNA sequencing. 2. Materials and Methods S. aureus American Type Culture Collection ATCC 25923 strain was procured from MicroBioLogics Inc. USA and stored with proper storage conditions until further use. All the tested antimicrobials and biochemicals were procured from Sigma-Aldrich MA USA. The antimicrobial susceptibility biochemical reactions and biotype number were estimated with the help of MicroScan Walk-Away ® Dade Behring Inc. West Sacramento CA USA using Positive Breakpoint Combo 20 PBPC 20 panel. The 16S rDNA sequencing analysis was carried out using ultrapure genomic DNA prep kit Cat KT 83 Bangalore Genei India. 2.1. Experimental Design The impact of biofield treatment on tested bacterium S. aureus was evaluated in two groups- Group I: ATCC strain in lyophilized state was considered as control. No treatment was given and analyzed for antimicrobial sensitivity biochemical reactions and biotype number as per the standard protocol. Group II: The lyophilized state of ATCC strain was divided into two parts named as Gr. IIA and Gr. IIB. Both the groups of ATCC strain of S. aureus in lyophilized state were assigned to the Mr. Trivedi’s unique biofield treatment first treatment. Gr. IIA was analyzed on day 10 while Gr. IIB sample was stored in lyophilized state for 159 days at -70ºC. Gr. IIB was further sub-divided in two separate parts named as Gr. IIB - Study I and Gr. IIB - Study II. Group IIB - Study I After 159 days antimicrobial sensitivity MIC biochemical reactions and biotyping were performed as per the standard protocol. Group IIB - Study II The stored strain was revived from -70ºC and the revived culture was again provided to Mr. Trivedi’s biofield treatment re-treatment on day 159. After biofield retreatment the sample was sub-cultured into three separate tubes and analyzed on Day 5 Day 10 and Day 15 of its sub- culturing. 2.2. Biofield Treatment Strategy The lyophilized sample of S. aureus was subjected to Mr. Trivedi’s biofield treatment first treatment and then stored analyzed on day 10 Gr. IIA followed by retreatment on 159 days in revived state Gr. IIB Study II. In details the treatment groups in sealed pack were handed over to Mr. Trivedi for biofield treatment under laboratory conditions. Mr. Trivedi provided the treatment through his energy transmission process to the treated group without touching the samples. After first treatment the analysis of Gr. IIA lyophilized sample was done on day 10 for antimicrobial sensitivity along with minimum inhibitory concentration MIC biochemical reactions with biotype number and 16S rDNA analysis as per the standard protocol. While handing over these cultures to Mr. Trivedi for retreatment purposes optimum precautions were taken to avoid contamination. 2.3. Antimicrobial Susceptibility Test Investigation of antimicrobial susceptibility of S. aureus was carried out with the help of automated instrument MicroScan Walk-Away ® using PBPC 20 panel. The panel can be stored at 2 to 25ºC for analysis. The panel was allowed to equilibrate to room temperature prior to rehydration. All opened panels were used on the same day. The tests carried out on MicroScan were miniaturized of the broth dilution susceptibility test that has been dehydrated. Briefly 0.1 mL of the standardized suspension of S. aureus was pipetted into 25 mL of inoculum water using pluronic and inverted 8 to 10 times and inoculated rehydrated and then subjected to incubation for 16 hours at 35°C. Rehydration and inoculation were performed using the

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214 Mahendra Kumar Trivedi et al.: Antibiogram Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus RENOK ® system with inoculators-D B1013-4. 25 mL of standardized inoculum suspension was poured into inoculum tray. The detailed experimental procedure and conditions were followed as per the manufacturers instructions. The antimicrobial susceptibility pattern S: Susceptible R: Resistant and BLAC: β-lactamase positive and MIC were determined by observing the lowest antimicrobial concentration showing inhibition of growth 23. 2.4. Biochemical Reaction Studies Biochemical reactions of S. aureus were determined using MicroScan Walk-Away ® system with PBPC 20 panel. Preparation of PBPC 20 panel inoculum followed by dehydration and rehydration were performed in a similar way as mentioned in antimicrobial susceptibility assay for analysis of biochemical reactions followed by biotype number. The detailed experimental procedures and conditions were followed as per the manufacturers instructions 23. 2.5. Identification of Organism by Biotype Number The biotype number of S. aureus was determined on MicroScan Walk-Away ® processed panel data report with the help of biochemical reactions data 23 24. 2.6. Amplification and Gene Sequencing of 16S rDNA Genomic DNA was isolated from S. aureus cells Gr. IIA sample coded as 9A using genomic purification kit according to the manufacturer instructions. 16S rDNA gene 1.5 kb fragment was amplified with the help of high-fidelity polymerase chain reaction PCR using universal primers forward primer 5ˊ-AGAGTTTGA TCCTGGCTCAG-3ˊ and reverse primer 3ˊ-ACGGTCA TACCTTGTTACGACTT-5ˊ. Amplified products were subjected to gel electrophoresis in 1.0 agarose gel stained with ethidium bromide and visualized under UV light in a gel documentation unit BioRad Laboratories USA. The PCR amplified fragment was purified from the agarose gel using a DNA gel extraction kit. Sequencing of amplified product was done on a commercial basis from Bangalore Genei India. The 16S rDNA sequences obtained were aligned and compared with the sequences stored in GenBank database available from National Center for Biotechnology Information NCBI using the algorithm BLASTn program. Multiple sequence alignment / phylogenetic tree were established using MEGA3.1 molecular software 25. 3. Results and Discussion 3.1. Antimicrobial Susceptibility Test The results of S. aureus susceptibility pattern and MIC values of tested antimicrobials after biofield treatment are summarized in Table 1 and 2 respectively. The data were analyzed and compared with respect to control. Antimicrobial sensitivity assay and MIC were performed in twenty-eight and thirty antimicrobials respectively. The treated cells of S. aureus showed a significant 85.71 alteration twenty-four out of twenty-eight in antimicrobial sensitivity pattern from susceptible S to resistance R in lyophilized treated Gr. IIA on day 10 after first-time biofield treatment as compared with control. However these twenty-four antimicrobials did not show any change of sensitivity pattern on day 159 as well as in revived state even after retreatment as compared to control. Out of twenty-eight antimicrobials two antibiotics i.e. ampicillin and penicillin were changed from S to β-lactamase positive BLAC in lyophilized treated Gr. IIA on day 10 while showed similar response in rest of treated groups even after second-time biofield treatment as compared with control. S. aureus has the ability to produce β-lactamases or penicillinase enzyme which breakdown the β-lactam ring present in penems and cephems heteronucleus 26. Two out of twenty eight 7.14 tested antimicrobials such as piperacillin/tazobactam and linezolid did not show any responses in lyophilized treated cells Gr. IIA on day 10 while they exhibited susceptible in rest of treated samples of S. aureus. Overall 92.86 antimicrobial susceptibility pattern was altered after biofield treatment as compared to control. MIC values of several antimicrobials viz. ampicillin/sulbactam azithromycin cefazolin cefepime cephalothin chloramphenicol ciprofloxacin gatifloxacin gentamicin levofloxacin linezolid moxifloxacin norfloxacin ofloxacillin rifampin tetracycline and synercid showed an alteration about two-fold in Gr. IIA on day 10 as compared to control. The MIC value of cefotaxime ceftriaxone and clindamycin were changed about four-fold in Gr. IIA on day 10 while remained unchanged in rest of the groups as compared to control. Certain antimicrobials such as erythromycin oxacillin and vancomycin showed eight-fold while ampicillin showed thirty two-fold ≤0.25 to 8 µg/mL and penicillin showed around two hundred sixty seven-fold ≤0.03 to 8 µg/mL alteration of MIC values in Gr. IIA on day 10 as compared to control. Amoxicillin / k-clavulanate and trimethoprim / sulfamethoxazole were slightly altered the MIC values in Gr. IIA on day 10. Overall 90 out of thirty tested antimicrobials showed an alteration of MIC values as compared to control. Three out of thirty 10 antimicrobials did not show any alteration of MIC values in all the treated groups as compared to control Table 2 except piperacillin / tazobactam in Gr. IIA value not reported. Overall the antimicrobial resistance pattern S to R and corresponding MIC values were significantly altered in lyophilized strain S. aureus after first-time biofield treatment as compared to control. 3.2. Biochemical Reactions Studies Data obtained from biochemical reactions studies for distinction of S. aureus are illustrated in Table 3. Study of biochemical reactions can be utilized to identify the enzymatic and metabolic characteristic feature of microbes.

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American Journal of BioScience 2015 36: 212-220 215 Microorganisms can be categorically differentiated based on their utilization of specific biochemicals as nutrients during the process of metabolism or enzymatic reactions. Biochemicals such as arginine ARG mannose MNS and urea URE were changed from negative - to positive + reactions in all the treated groups with respect to control. Moreover biochemical reactions of β-lactamases BL crystal violet CV novobiocin NOV galactosidase PGR and PGT and sorbitol SOR were converted from negative - to positive + reactions in Gr. IIA on day 10 after first biofield treatment and remained same i.e. negative - in rest of the treated samples as compared to control. The alterations of biochemical reactions after biofield treatment of ARG PGR and PGT were the typical characteristics feature of S. aureus. Based on this data it is assumed that Mr. Trivedi’s biofield treatment has an impact on S. aureus in term of metabolic reaction. Similarly rambose RBS was converted from negative - to the positive + reaction after first-time biofield treatment in Gr. IIA on day 10 and after retreatment in Gr. IIB Study II on day 15 while remained unchanged in rest of the treated groups as compared to control. The key characteristic feature for S. aureus are colony pigment free coagulase clumping factor protein A heat-stable nuclease and acid production from mannitol 27. In this experiment due to the production of acid from mannitol the result showed positive + reaction in all the treated groups which supports the metabolic characteristics feature of S. aureus. Overall 35.71 biochemical reactions were altered in tested twenty-eight biochemicals with respect to control after biofield treatment. About 64.29 of total biochemicals such as arabinose bacillosamine bile esculin indoxyl phosphatase inulin acidification lactose mannitol micrococcus screen sodium chloride nitrate optochin phosphatase pyruvate pyrolidonyl arylamidase raffinose thymidine free growth acidification trehalose and V oges-Proskauer did not show any change in all the groups after biofield treatment as compared to control. Table 1. Antibiogram of Staphylococcus aureus: effect of biofield treatment on antimicrobial susceptibility. S. No. Antimicrobial Gr. I Control Gr. IIA Day 10 Gr. IIB Study I Day 159 Gr. IIB Study II Day 159 Day 5 Day 10 Day 15 1. Amoxicillin/k-clavulanate S R S S S S 2. Ampicillin/sulbactam S R S S S S 3. Ampicillin S BLAC S S S S 4. Azithromycin S R S S S S 5. Cefazolin S R S S S S 6. Cefepime S R S S S S 7. Cefotaxime S R S S S S 8. Ceftriaxone S R S S S S 9. Cephalothin S R S S S S 10. Chloramphenicol S R S S S S 11. Ciprofloxacin S R S S S S 12. Clindamycin S R S S S S 13. Erythromycin S R S S S S 14. Gatifloxacin S R S S S S 15. Gentamicin S R S S S S 16. Imipenem S R S S S S 17. Levofloxacin S R S S S S 18. Linezolid S NA S S S S 19. Moxifloxacin S R S S S S 20. Ofloxacillin S R S S S S 21. Oxacillin S R S S S S 22. Penicillin S BLAC S S S S 23. Piperacillin/tazobactam S − S S S S 24. Rifampin S R S S S S 25. Synercid S R S S S S 26. Tetracycline S R S S S S 27. Trimethoprim/sulfamethoxazole S R S S S S 28. Vancomycin S R S S S S R: Resistant S: Susceptible Gr.: Group BLAC: β-lactamase positive NA: Data not available - Not reported

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216 Mahendra Kumar Trivedi et al.: Antibiogram Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus Table 2. Effect of biofield treatment on Staphylococcus aureus to minimum inhibitory concentration MIC of tested antimicrobials. S. No. Antimicrobial Gr. I Control Gr. IIA Day 10 Gr. IIB Study I Day 159 Gr. IIB Study II Day 159 Day 5 Day 10 Day 15 1. Amoxicillin/k-clavulanate ≤4/2 ˃4/2 ≤4/2 ≤4/2 ≤4/2 ≤4/2 2. Ampicillin/sulbactam ≤8/4 ˃16/8 ≤8/4 ≤8/4 ≤8/4 ≤8/4 3. Ampicillin ≤0.25 ˃8 ≤0.25 ≤0.25 ≤0.25 ≤0.25 4. Azithromycin ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 5. Cefazolin ≤8 ˃16 ≤8 ≤8 ≤8 ≤8 6. Cefepime ≤8 ˃16 ≤8 ≤8 ≤8 ≤8 7. Cefotaxime ≤8 ˃32 ≤8 ≤8 ≤8 ≤8 8. Ceftriaxone ≤8 ˃32 ≤8 ≤8 ≤8 ≤8 9. Cephalothin ≤8 ˃16 ≤8 ≤8 ≤8 ≤8 10. Chloramphenicol ≤8 ˃16 ≤8 ≤8 ≤8 ≤8 11. Ciprofloxacin ≤1 ˃2 ≤1 ≤1 ≤1 ≤1 12. Clindamycin ≤0.5 ˃2 ≤0.5 ≤0.5 ≤0.5 ≤0.5 13. Erythromycin ≤0.5 ˃4 ≤0.5 ≤0.5 ≤0.5 ≤0.5 14. Gatifloxacin ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 15. Gentamicin ≤4 ˃8 ≤4 ≤4 ≤4 ≤4 16. Imipenem ≤4 ≤4 ≤4 ≤4 ≤4 ≤4 17. Levofloxacin ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 18. Linezolid ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 19. Moxifloxacin ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 20. Nitrofurantoin ≤32 ≤32 ≤32 ≤32 ≤32 ≤32 21. Norfloxacin ≤4 ˃8 ≤4 ≤4 ≤4 ≤4 22. Ofloxacillin ≤2 ˃4 ≤2 ≤2 ≤2 ≤2 23. Oxacillin ≤0.25 ˃2 ≤0.25 ≤0.25 ≤0.25 ≤0.25 24. Penicillin ≤0.03 ˃8 ≤0.03 ≤0.03 ≤0.03 ≤0.03 25. Piperacillin/tazobactam ≤4 − ≤4 ≤4 ≤4 ≤4 26. Rifampin ≤1 ˃2 ≤1 ≤1 ≤1 ≤1 27. Synercid ≤1 ˃2 ≤1 ≤1 ≤1 ≤1 28. Tetracycline ≤4 ˃8 ≤4 ≤4 ≤4 ≤4 29. Trimethoprim/sulfamethoxazole ≤2/38 ˃2/38 ≤2/38 ≤2/38 ≤2/38 ≤2/38 30. Vancomycin ≤2 ˃16 ≤2 ≤2 ≤2 ≤2 MIC data are presented in µg/mL Gr.: Group - Not reported Table 3. Effect of biofield treatment on Staphylococcus aureus to the biochemical reaction pattern. S. No. Code Biochemical Gr. I Control Gr. IIA Day 10 Gr. IIB Study I Day 159 Gr. IIB Study II Day 159 Day 5 Day 10 Day 15 1. ARA Arabinose - - - - - - 2. ARG Arginine - + + + + + 3. BAC Bacillosamine + + + + + + 4. BE Bile esculin - - - - - - 5. BL β-lactamases - + - - - - 6. CV Crystal violet - + - - - - 7. IDX Indoxyl phosphatase - - - - - - 8. INU Inulin - - - - - - 9. LAC Acidification Lactose + + + + + + 10. MAN Mannitol + + + + + + 11. MNS Mannose - + + + + + 12. MS Micrococcus screen + + + + + + 13. NACL Sodium chloride + + + + + + 14. NIT Nitrate + + + + + + 15. NOV Novobiocin - + - - - - 16. OPT Optochin + + + + + + 17. PGR Glycosidase - + - - - - 18. PGT Glycosidase - + - - - - 19. PHO Phosphatase + + + + + + 20. PRV Pyruvate - - - - - - 21. PYR Pyrolidonyl arylamidase - - - - - - 22. RAF Raffinose - - - - - - 23. RBS Rambose - + - - - + 24. SOR Sorbitol - + - - - - 25. TFG Thymidine free growth + + + + + + 26. TRE Acidification trehalose + + + + + + 27. URE Urea - + + + + + 28. VP V oges-Proskauer + + + + + + - negative + positive Gr.: Group PGR: p-nitro phenyl β-D- glucuronide PGT: p-nitro phenyl β-D-galactopyranoside

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American Journal of BioScience 2015 36: 212-220 217 3.3. Identification of Organism by Biotype Number The species S. aureus was identified based on variety of conventional biochemical characters and biotyping. Biotype number of particular organism was evaluated after interpreting the results of the biochemical reactions. The biotype number then led to the particular organism identification. In this experiment biotyping was performed using an automated system and results showed a significant change in biotype number 767177 in Gr. IIA on day 10 after first-time biofield treatment with identification of new species Staphylococcus cohnii subsp. urealyticum as compared to control Gr. I 307016 S. aureus. Based on the biochemical results biotype numbers were also changed in rest of treated groups without alteration of species with respect to control 307016 i.e. S. aureus Table 4. Table 4. Effect of biofield treatment on biotype number of Staphylococcus aureus. Feature Gr. I Control Gr. IIA Day 10 Gr. IIB Study I Day 159 Gr. IIB Study II Day 159 Day 5 Day 10 Day 15 Biotype 307016 767177 307137 307137 307137 307137 Organism Identification S. aureus Staphylococcus cohnii subsp. urealyticum S. aureus S. aureus S. aureus S. aureus Gr.: Group 3.4. 16S rDNA Genotyping The bacteria that are poorly differentiated by conventional methods needs molecular analysis method like 16S rDNA sequence 28. This molecular-based technique is a suitable tool for identification of most of the bacteria on their genus and/or species level by comparison with databases in the public domain. Because most of the bacteria possess small ribosomal subunit with species- specific variability 29. The 16S rDNA analysis was performed after first-time biofield treated sample Gr. IIA of S. aureus on day 10. The alignment and comparison of the consensus gene sequences were performed with the sequences stored in GenBank database available from NCBI using the algorithm BLASTn program. Based on nucleotide homology and phylogenetic analysis the microbe Sample 9A was detected as Staphylococcus aureus GenBank Accession No: L37597 with 100 identity. The nearest homolog genus-species of S. aureus was found as Staphylococcus simiae GenBank Accession No. DQ127902. Some other close homologs of S. aureus were found from the alignment results as shown in Table 5. The distance matrix based on nucleotide sequence homology data are presented in Table 6. The phylogenetic tree was established using BLAST-Webpage NCBI. According to Table 6 ten different related bacterial species of S. aureus were selected as Operational Taxonomic Units OTUs in order to investigate the phylogenetic relationship of S. aureus. There were 1497 base nucleotides of 16S rDNA gene sequences which were analyzed and multiple alignments were constructed using ClustalW in MEGA3.1. The numbers of base substitutions per site from pairwise distance analysis between sequences are shown in Table 5. All results were based on the pairwise analysis of 11 sequences. According to the data in Table 6 the lowest value of the genetic distance from S. aureus was 0.000 base substitutions per site. This value is due to the distance between S. aureus and Staphylococcus simiae. All pairwise distance analysis was carried out using the p-distance method in MEGA3.1. The proportion of remarked distance sometimes also called p-distance and showed as the number of nucleotide distances site. Values in Table 5 are programmed into Figure 1 with optimal bootstrap consensus tree. In the phylogram there were eleven OTUs. The results suggested that S. aureus was closely related to the Staphylococcus simiae with 100 similarity and the lowest genetic distance 0.000 base substitutions per site. Table 5. The closest sequences of Staphylococcus aureus from sequence alignment using NCBI GenBank and ribosomal database project RDP. Alignment View AN Alignment Result Sequence Description 9A 1.00 Sample studied CP000730 1.00 Staphylococcus aureus subsp. aureus USA300 AP009324 1.00 Staphylococcus aureus subsp. aureus Mu3 CP000736 1.00 Staphylococcus aureus subsp. aureus JH1 AB353073 1.00 Staphylococcus aureus strain: MPU99 L37597 1.00 Staphylococcus aureus DQ997837 1.00 Staphylococcus aureus strain ATCC 14458 DQ269498 0.99 Staphylococcus aureus strain ATCC 14458 DQ630752 0.99 Staphylococcus aureus isolation-source bhalla DQ127902 0.97 Staphylococcus simiae strain CCM 7229 EF522128 0.99 Staphylococcus epidermidis strain CU22 AN: GenBank Accession Number

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218 Mahendra Kumar Trivedi et al.: Antibiogram Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus Table 6. Distance matrix Staphylococcus aureus sample 9A based on nucleotide sequence homology Using Kimura-2 Parameter indicates nucleotide similarity above diagonal and distance below diagonal identities between the studied sample ‘9A’ and ten closest homologs microbe. Distance Matrix AN 1 2 3 4 5 6 7 8 9 10 11 CP000736 1 — 1 1 0.998 1 0.998 1 0.995 0.986 1 1 DQ997837 2 0.000 — 1 0.998 1 0.998 1 0.995 0.986 1 1 AP009324 3 0.000 0.000 — 0.998 1 0.998 1 0.995 0.986 1 1 DQ269498 4 0.002 0.002 0.002 — 0.998 0.999 0.998 0.995 0.984 0.998 0.998 AB353073 5 0.000 0.000 0.000 0.002 — 0.998 1 0.995 0.986 1 1 DQ630752 6 0.002 0.002 0.002 0.001 0.002 — 0.998 0.995 0.984 0.998 0.998 CP000730 7 0.000 0.000 0.000 0.002 0.000 0.002 — 0.995 0.986 1 1 DQ127902 8 0.005 0.005 0.005 0.005 0.005 0.005 0.005 — 0.985 0.995 0.995 EF522128 9 0.014 0.014 0.014 0.016 0.014 0.016 0.014 0.015 — 0.986 0.986 L37597 10 0.000 0.000 0.000 0.002 0.000 0.002 0.000 0.005 0.014 — 1 9A 11 0.000 0.000 0.000 0.002 0.000 0.002 0.000 0.005 0.014 0.000 — AN: GenBank Accession Number Numbers represent GenBank accession number Figure 1. Phylogenetic tree of the partial 16S rDNA gene sequencing of Staphylococcus aureus using MEGA 3.1 software using neighbor joining method. Numbers represent GenBank accession number. Biofield treatment may be responsible for alteration in microorganism at enzymatic and/or genetic level which may act on receptor protein. While altering receptor protein ligand-receptor/protein interactions may altered that could lead to show different phenotypic characteristics 30. Biofield treatment might induce significant changes in lyophilized strain of S. aureus and altered antimicrobials susceptibility pattern MIC values biochemical reactions which ultimately change the biotype number of microorganism. As a result the microbe that was susceptible to a particular antimicrobial in control sample now converted into BLAC/resistant in treated cells of S. aureus predominately after biofield treatment. Due to microbial resistance to a single drug or multiple drugs the invention of an effective antimicrobial therapy for the human-wellness is urgently required. However due to some limitation of science the progress of new medications is slow and very challenging for scientists. So far our group had published many research articles regrading short-term effects on biofield treatment on ATCC and multidrug resistant strains 18-20. Based on these results it is envisaged that biofield treatment has the ability to alter the sensitivity pattern of antimicrobials and scope to be an alternative approach than the existing antimicrobial therapy in near future. 4. Conclusions In conclusion the antimicrobial susceptibility pattern and the MIC values showed the significant 92.86 and 90 alteration respectively of tested antimicrobials as compared

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American Journal of BioScience 2015 36: 212-220 219 to the control strain of S. aureus. The biochemical reactions pattern showed the significant 35.71 alteration as compared to the control. Moreover the biotype numbers of biofield treated strain of S. aureus were also changed in all the treated groups as compared to the control. Based on the changed biotype numbers after biofield treatment new species was identified as 767177 Staphylococcus cohnii subsp. urealyticum in lyophilized treated cells Gr. IIA on day 10 with respect to the control Gr. I 307016 S. aureus. Thus Mr. Trivedi’s unique biofield energy treatment could be applied as an alternative therapeutic approach against antimicrobials to alter the sensitivity pattern. Molecular based 16S rDNA analysis showed that the treated lyophilized sample in this experiment was S. aureus. However the nearest homolog genus-species was found to be Staphylococcus simiae. Based on these results it seems that biofield treatment could be used as an alternate of existing drug therapy in future. Acknowledgment Authors gratefully acknowledged to Trivedi science Trivedi testimonials and Trivedi master wellness and the whole team of PD Hinduja National Hospital and MRC Mumbai Microbiology Lab for their support. Authors also would like thanks Bangalore Genei Pvt. Ltd. for conducting 16S rDNA sequencing analysis. References 1 Konuku S Rajan MM Muruhan S 2012 Morphological and biochemical characteristics and antibiotic resistance pattern of Staphylococcus aureus isolated from grapes. Int J Nut Pharmacol Neurol Dis 2: 70-73. 2 Dubey A Ghorui SK Kashyap SK 2009 Differentiation of Staphylococcus aureus strains based on 16S-23S ribosomal RNA intergenic space polymorphism. Indian J Biotechnol 8: 276-279. 3 Balaban N Rasooly A 2000 Staphylococcal enterotoxins. 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