Here, L-J parameters for the carbon atoms of the buckyball and ε

Here, L-J parameters for the carbon atoms of the buckyball and ε CC = 0.27647 kJ/mol as used in the original parametrization of Girifalco [33] and van der Waals interaction govern in the plate-buckyball interaction. selleck products A time integration step of 1 fs is used, and periodical boundary conditions are applied in the x y plane to eliminated the boundary effect. Single buckyball mechanical behavior Atomistic simulation result The distinctive mechanical behavior of a single buckyball should underpin the overall energy absorption ability of a buckyball assembly. The force F and displacement W are normalized as FR/Eh 3

and W/D, respectively, where R, h, D, and E are the radius, effective YM155 thickness, diameter, and effective Young’s modulus of the buckyball, respectively. Considering that bending is involved during the buckyball compression, h = 0.66

nm and E = 5 TPa [34, 35]. Here a crushing speed at 0.01 m/s is employed to mimic quasi-static loading, because the normalized force-displacement curves are verified to be the same at various loading rates from 0.1 to 0.001 m/s in trial simulations. The force-displacement response under both quasi-static and a representative dynamic impact loading (with impact speed of 50 m/s and energy of 1.83 eV) are studied, as shown in Figure  2. Two obvious force-drops could be observed in low-speed crushing, while only one prominent force-drop exists in dynamic loading which is related to the less-evident snap-through deformation shape. Figure 2 Normalized force displacement curves at both low-speed crushing and impact loading. The entire process from the selleck inhibitor beginning of loading to the bowl-forming morphology can be divided into four phases. Morphologies of C720 are shown at the corresponding normalized displacements. The entire compression process could be divided into four phases according to the FR/Eh 3 ~ W/D curve, i.e., buckling (W/D < 10%), post-buckling (10% ≤ W/D < 30%), densification (30% ≤ W/D < 40%), and inverted-cap-forming phase (W/D > 40%). Upon the ricochet of Fossariinae the plate, the deformation remains as a bowl shape

with great volume shrinkage. The stabilization of such a buckled morphology is owing to a lower system potential energy in the buckled configuration due to van der Waals interaction; similar energy dissipation mechanism in CNT network is also revealed by [36]. The derivative of curve undergoes a sudden change at the same W/D value but in two completely different loading rates, suggesting that the sudden force-drop points are highly dependent on the buckyball deformation rather than the loading rate. And theoretical insights may be obtained from the four-phase deformation. Phenomenological mechanical models Note that due to the property of FR/Eh 3 ~ W/D curve, among the phases of compression process, those with significant reduction of force (Figure  2) are relatively unimportant for energy absorption and not included in the modeling effort.

05 versus

respective untreated cells) (mean±SD, n = 3) (

05 versus

respective untreated cells) (mean±SD, n = 3). (g) Significant decreases in TER were also seen in the transfected Selleckchem Osimertinib cells MDA CL5exp after treatment with HGF (using ANOVA p ≤ 0.05 versus respective untreated cells) (mean±SD, n = 3) and in MDA CL5rib2 (h) (using ANOVA p ≤ 0.05versus respective untreated cells) (mean±SD, n = 3). Low levels of Claudin-5 reduces the cell adhesion to an artificial Matrigel basement GS-9973 ic50 membrane The ability of MDACl5exp and MDACL5rib2 cells to adhere to matrix was assessed in an in vitro Matrigel adhesion assay (Figure 4b). There was a significant difference between the adherence of MDACL5rib2 and MDApEF6 with MDACL5rib2 cells being less adherent to matrix. In the case of MDACl5exp, the opposite effect was seen, however differences did not reach statistical significance when compared to the control. Claudin-5 did not alter the invasive phenotype of transfected human breast cancer cells The invasive potential of the transfected cells MDACl5exp and MDACL5rib2 was examined using an in vitro Matrigel invasion assay (Figure 4c). Both cell lines were found to have no significant

differences when compared to the control MDApEF6 and invaded as individual Dactolisib mw cells, with no apparent difference in invasion patterns. Claudin-5 did not alter the in vivo tumour growth of human breast cancer cells The growth and capability of developing tumours of MDACl5exp in an in vivo model was examined and compared to the control MDApEF6 cells after subcutaneous injection into the athymic nude mouse model. Over the period of 33 days, no significant difference was observed between the two groups, the control (injected with MDApEF6) and those injected with MDACl5exp (Figure 4d). Low levels of Claudin-5 confers increased trans-epithelial resistance (TER) in human breast cancer cells Transepithelial resistance was measured to assess the effect of over-expressing or knocking-down Claudin-5

on TJ functionality in MDA-MB-231 breast cancer cells (Figure 4e). If the cells were to produce a higher resistance, this is interpreted as them having increased Tight Junction function; conversely, reduced resistance implies a loss of cell-cell contact and a reduced Tight Junction function. MDACl5exp showed increased TER over a period of 4 hours in comparison Orotidine 5′-phosphate decarboxylase with the control MDApEF6. Changes in TER were more evident in MDACL5rib2 when compared to the control. Treatment of cells with HGF (50 ng/ml) resulted in a significant reduction of the transepithelial resistance in transfected and in control cells when compare to untreated cells over a period of 4 hours (Figure 4f, g, h). Low levels of Claudin-5 retarded the motility and migration of human breast cancer cells Transfected and control cells, either untreated or treated with HGF, were evaluated for their motility using a Cytodex-2 bead motility assay to explore the possibility of Claudin-5 involvement in motility.

PubMedCrossRef 8 Yao MC, Yao CH, Halasz LM, Fuller P, Rexer CH,

PubMedCrossRef 8. Yao MC, Yao CH, Halasz LM, Fuller P, Rexer CH, Wang SH, Jain R, Coyne RS, Chalker DL: Identification

of novel chromatin-associated proteins involved in programmed genome rearrangements in Tetrahymena. Journal of cell science 2007,120(Pt 12):1978–1989.PubMedCrossRef 9. Lee SR, Collins K: Physical and functional coupling of RNA-dependent RNA polymerase and Dicer in the biogenesis of endogenous siRNAs. Nature structural & molecular biology 2007,14(7):604–610.CrossRef 10. Malone CD, Falkowska KA, Li AY, Galanti SE, Kanuru RC, Lamont EG, Mazzarella KC, Micev FK866 molecular weight AJ, Osman MM, Piotrowski NK, et al.: Nucleus-Specific Importin Alphas and Nucleoporins Regulate Protein Import and Nuclear Division in the Bi-Nucleate Tetrahymena thermophila. Eukaryotic cell 2008. 11. Sauer B: Manipulation

of transgenes by site-specific recombination: use of Cre recombinase. Methods in enzymology 1993, 225:890–900.PubMedCrossRef 12. Shang Y, Song X, Bowen J, Corstanje R, Gao Y, Gaertig J, Gorovsky MA: A robust inducible-repressible promoter greatly facilitates gene knockouts, conditional expression, and overexpression of homologous and heterologous genes in Tetrahymena JPH203 clinical trial thermophila. Proceedings of the National Academy of Sciences of the United States of America 2002,99(6):3734–3739.PubMedCrossRef 13. Mochizuki K: High efficiency transformation of Tetrahymena using a codon-optimized neomycin resistance gene. Gene 2008, 425:79–83.PubMedCrossRef 14. McDonald BB: The exchange of RNA and protein during conjugation in Tetrahymena. The Journal of protozoology 1966,13(2):277–285.PubMed 15. Scholnick SB, Bruns PJ: A genetic analysis of tetrahymena that have aborted normal development. Genetics 1982,102(1):29–38.PubMed 16. Livet J, Weissman TA, Kang H, Draft RW, Lu J, Bennis RA, Sanes JR, Lichtman JW: Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system. Nature 2007,450(7166):56–62.PubMedCrossRef 17. Sauer B: Inducible gene targeting in mice using the Cre/lox system. Methods (San Diego, Calif) Obatoclax Mesylate (GX15-070) 1998,14(4):381–392. 18. Abuin A, Bradley A: Recycling selectable markers in mouse embryonic stem cells. Molecular and cellular biology 1996,16(4):1851–1856.PubMed

19. Johansson B, Hahn-Hagerdal B: Multiple gene expression by chromosomal integration and CRE-loxP-mediated marker recycling in Saccharomyces cerevisiae. Methods in molecular biology (Clifton, NJ) 2004, 267:287–296. 20. Faix J, Kreppel L, Shaulsky G, Schleicher M, Kimmel AR: A rapid and selleck products efficient method to generate multiple gene disruptions in Dictyostelium discoideum using a single selectable marker and the Cre-loxP system. Nucleic acids research 2004,32(19):e143.PubMedCrossRef 21. Orias E, Flacks M: Macronuclear genetics of Tetrahymena. I. Random distribution of macronuclear genecopies in T. pyriformis, syngen 1. Genetics 1975,79(2):187–206.PubMed 22. Gorovsky MA, Yao MC, Keevert JB, Pleger GL: Isolation of micro- and macronuclei of Tetrahymena pyriformis.

PubMed 7 Bouma G, Strober W: The immunological and genetic basis

PubMed 7. Bouma G, Strober W: The immunological and genetic basis of inflammatory bowel disease. Nat Rev Immunol 2003, 3: 521–533.PubMedCrossRef 8. Cho JH: The genetics and immunopathogenesis of inflammatory bowel disease. Nat Rev Immunol 2008, 8: 458–466.PubMedCrossRef 9. Ley RE, Lozupone CA, Hamady M, Knight R, Gordon JI: Worlds within worlds: evolution of the vertebrate gut microbiota. Nat Rev Micro 2008, 6: 776–788.CrossRef 10. Dethlefsen L, Eckburg PB, Bik EM, Relman DA: Assembly of the human intestinal microbiota. Trends Ecol Evol 2006, 21: 517–523.PubMedCrossRef 11. Tlaskalová-Hogenová H, Stepánková R, Hudcovic T, Tucková L, Cukrowska B, Lodinová-Zádníková R, Kozáková H, Rossmann P, Bártová J, Sokol D, Selleck GSK126 Funda

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Schreiber S, Dietel M, Lochs H: Mucosal flora in inflammatory bowel disease. Gastroenterology 2002, 122: 44–54.PubMedCrossRef 17. Sartor RB: Microbial influences in inflammatory bowel diseases. Gastroenterology 2008, 134: 577–594.PubMedCrossRef 18. Rutgeerts P, Hiele M, Geboes K, Peeters M, Penninckx F, Aerts R, Kerremans R: Controlled trial of Metronidazole treatment for prevention of Crohn’s recurrence after ileal resection. Gastroenterology 1995, 108: 1617–1621.PubMedCrossRef 19. Stringer EE, Nicholson TJ, Armstrong D: Efficacy of topical Metronidazole (10 percent) in the treatment of anorectal Crohn’s disease. Dis Colon Rectum 2005, 48: 970–974.PubMedCrossRef 20. Feller M, Huwiler K, Stephan R, Altpeter E, Shang A, Furrer H, Pfyffer GE, Jemmi T, Baumgartner A, Egger M: Mycobacterium avium subspecies paratuberculosis and Crohn’s disease: a systematic review and meta-analysis. Lancet Infect Dis 2007, 7: 607–613.PubMedCrossRef 21. Barnich N, Darfeuille-Michaud A: Adherent-invasive check details Escherichia coli and Crohn’s disease. Curr Opin Gastroenterol 2007, 23: 16–20.PubMedCrossRef 22.

On average, an increase in body weight of 3 5 kg was observed com

On average, an increase in body weight of 3.5 kg was observed commensurate with an increase in REE from baseline to the completion of the study. In our lab, we have used the ratio of REE/pREE as an indicator of energy status and have operationally defined selleck chemicals llc an energy deficiency as a ratio <0.90 [4, 16, 23]. Both women presented with a ratio <0.90 at baseline, indicative of an energy deficient state. Previous reports of the REE/pREE

ratio in amenorrheic exercising women have ranged from 0.80 to 0.95 [4, 28, 30] and in anorexic women from 0.60 to 0.80 [20–22]. The two women in this case report resumed menses and experienced increases in REE such that the REE/pREE ratio improved to above 0.90 at the completion of the intervention, indicative of an improvement in energy status and reversal of the energy deficiency.

Likewise, changes in TT3 and ghrelin concentrations paralleled the changes in body weight and REE and provide support for the critical importance of an energy replete state for the successful resumption of menses. Interestingly, fasting concentrations of TT3 increased and ghrelin decreased during the intervention in both women. click here TT3 is a well-known marker of energy status and is often suppressed among amenorrheic athletes when compared to their ovulating counterparts and sedentary women [1, 28]. In fact, it has been shown in the non-human primate model that induction of amenorrhea via an increase in exercise volume and caloric expenditure results in a significant decrease in circulating concentrations of TT3 that is reversed with increases in caloric intake and resumption of menses [31]. Ghrelin, on the other hand, is an orexigenic hormone

that regulates appetite and is commonly elevated among amenorrheic exercising women [28, 32]. Therefore, an increase in fasting concentrations of TT3 and a decrease in ghrelin provide evidence for improvements in energy status. In response to the intervention, each woman successfully resumed menses as defined by the occurrence of menstrual bleeding and experienced at least one cycle that was preceded by ovulation. However, in association with varying duration of amenorrhea, the changes observed for each woman in dietary intake, body weight, oxyclozanide and the energetic environment that were associated with the reproductive milestones varied. For Participant 1 with long-term amenorrhea, it Sorafenib appeared that weight gain greater than 2 kg coincided with recovery of menses and a gain of about 3 kg coincided with ovulation. However, for Participant 2 with short-term amenorrhea, minimal change in weight prior to the first menses during the study was observed, but approximately 2 kg of weight gain was necessary before the onset of regular cycles. It should be noted, however, that upon entrance into the study Participant 2 reported experiencing long intermenstrual intervals in the previous year, indicative of an oligomenorrheic profile.

PLoS One 2011, 6:e26170 PubMedCrossRef 32 Sasaki T, Tsubakishita

PLoS One 2011, 6:e26170.PubMedCrossRef 32. Sasaki T, Tsubakishita S, Tanaka Y, Sakusabe A, Ohtsuka M, Hirotaki S, Kawakami T, Fukata T, Hiramatsu K: Multiplex-PCR method for species identification of coagulase-positive staphylococci. J Clin Microbiol 2010, 48:765–769.PubMedCrossRef 33. Kwok AYC, Chow AW: Phylogenetic study of Staphylococcus and Macrococcus species based on partial hsp60 gene sequences. Int J Sys Evol Microbiol 2003, 53:87–92.CrossRef 34. Clinical and Laboratory

Standards Institute (CLSI): Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals; Approved Standard—Third Edition. 2009, 65–72. [CLSI document M31-A3] 35. Skov R, Frimodt-Møller #IWR-1 order randurls[1|1|,|CHEM1|]# N, Espersen F: Correlation of MIC methods and tentative interpretive criteria for disk diffusion susceptibility

testing using NCCLS methodology for fusidic acid. Diagn Microbiol Infect Dis 2001, 40:111–116.PubMedCrossRef 36. Udo EE, Farook VS, Mokadas EM, Jacob LE, Sanyal : Molecular fingerprinting of mupirocin-resistant Staphylococcus aureus from a Burn unit. Int J Infect Dis 1999, 3:82–87.CrossRef 37. Fiebelkorn KR, Crawford SA, McElmeel ML, Jorgensen H: Practical disk diffusion method for detection of inducible clindamycin resistance in Staphylococcus aureus and coagulase-negative staphylococci. J Clin Microbiol 2003, 41:4740–4744.PubMedCrossRef 38. Lina G, Piemont Y, Godail-Gamot F, Bes M, Peter MO, Gauduchon V, Vadenesch F, GSK621 supplier Etienne J: Involvement of Panton-Valentine leukocidin-producing

Staphylococcus aureus in primary skin infections and pneumonia. Clin Infect Dis 1999, 29:1128–1132.PubMedCrossRef 39. Shopsin B, Mathema B, Alcabes P, Said-Salim B, Lina G, Matsuka Org 27569 A, Martinez J, Kreiswirth BN: Prevalence of agr specificity groups among Staphylococcus aureus strains colonizing children and their guardians. J Clin Microbiol 2003, 41:456–459.PubMedCrossRef 40. Sakai F, Takemoto A, Watanabe S, Aoyama K, Ohkubo T, Yanahira S, Igarashi H, Kozaki S, Hiramatsu K, Ito T: Multiplex PCRs for assignment of Staphylocoagulase Types and Subtypes of Type VI Staphylocoagulase. J Microbiol Meth 2008, 75:312–317.CrossRef 41. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance and Maximum Parsimony Methods. Mol Biol Evol 2010, 28:2731–2739.CrossRef 42. Enright MC, Day NP, Davies CE, Peacock SJ, Spratt BG: Multilocus sequence typing for characterization of methicillin-resistant and methicillin-susceptible clones of Staphylococcus aureus. J Clin Microbiol 2000, 38:1008–1015.PubMed 43. Suzuki H, Lefébure T, Bitar PP, Stanhope MJ: Comparative genomic analysis of the genus Staphylococcus including Staphylococcus aureus and its newly described sister species Staphylococcus simiae. BMC Genomics 2012, 13:38.

To test nematode and bacteria association in H2O2 oxidative condi

To test nematode and bacteria association in H2O2 oxidative conditions, first, nematodes were surface sterilized and the concentration was adjusted to 150 nematodes per 50 μl of sterilized DW, and performed

1 h nematode-bacteria association as described above. After 1 h contact with bacteria, nematodes were washed and re-suspended in sterilized DW. A 96-well plate was prepared as follows: each well received 50 μl of different H2O2 concentrations (prepared previously in double) and 50 μl of each treatment (nematode-bacteria association, nematode alone and control (DW). Three independent biological replicates with three technical replicas per experiment were used for each treatment. . Mortality of nematodes was scored after 24 h. Nematodes were considered dead, if no movements were observed after INCB024360 cost mechanical stimulation. Gene expression analysis of B. xylophilus https://www.selleckchem.com/products/iwr-1-endo.html catalases Catalase (CTL) was selected as the antioxidant enzyme to infer selleck compound gene expression differences toward the effect of H2O2 in the nematode-bacteria association. The amino acid sequences of C. elegans catalases (Ce-CTL-1, -2, -3) were obtained from WormBase (http://​www.​wormbase.​org/​), and used as templates for a TBLASTN search in the B. xylophilus Ka4 genome. The retrieved best matches were predicted as Bxy-CTL-1 and Bxy-CTL-2 of B. xylophilus. Predictions about general topology,

domain/family, and active sites conserved were made using online tools available at Expasy WWW pages (http://​www.​expasy.​org/​tools/​). Gene expression of Bxy-ctl-1 and Bxy-ctl-2 were analysed by qRT-PCR using SYBR® green assay. Total RNA was extracted from 24 h-stressed

nematodes (treatments: nematodes alone and nematode-bacteria association) in 15 mM H2O2, using CellAmp Direct RNA Prep Kit for RT-PCR (Real time) (Takara Bio Inc., Japan) and following manufacturer’s instructions. The concentration and quality was measured using NanoVue plus spectophotometer (GE filipin Healthcare Life Sciences, USA). Total RNA (adjusted for concentration of 50 ng/μl) was reverse transcribed using Oligo dT primer and PrimeScript RT enzyme from PrimeScript™ RT reagent Kit (Perfect Real Time) (Takara Bio Inc., Japan). Quantitative RT-PCR was performed using CFX96™ Real-Time (Bio-Rad), and SYBR Premix Ex TaqTM II (Tli RnaseH Plus) kit (Takara Bio Inc., Japan). The housekeeping actin gene Bxy-act-1 was used as an internal control gene for calculation of relative expression levels of each antioxidant gene [52]. Primers were designed using Prime 3 software [53] and tested for specificity prior to qPCR. The primers used for Bxy-act-1, Bxy-ctl-1 and Bxy-ctl-2 genes amplification were listed in Additional file 3: Table S1. Two independent biological replicates with two technical replicas per experiment were used for each qPCR test. No template controls (NTC) were prepared for each qPCR run.

[23] and Saltin [24], although Craig

[23] and Saltin [24], although Craig PCI-34051 purchase and Cumming [25] documented a 10% reduction in VO2max with a similar degree of dehydration (1.9%). Enhanced physical fitness may

be a factor in conferring additional protection against dehydration-induced decrements in VO2max because of the higher plasma volume in certain individuals who are physically more competent than others. While rehydration with either Gatorade or Crystal Light resulted in values of VO2max lower than those of the baseline values, a moderate increase in VO2max occurred upon rehydration with Rehydrate. In athletic competition, the difference between a good performance and the best performance may be relatively narrow. Maughan et al. [26] concluded that performance improvements,

although they may be minute, are critically important to the outcome of a race, and the athletes involved. For example, a good time for the mile run of 4 min 10 sec (250 sec) is only 4% slower than an elite-level time of 4 min. VO2max is a sensitive predictor of performance only when correlations are made among a broad range of abilities. Furthermore, a comparison of the VO2max of top runners revealed no relationship between VO2max and race times [27]. The provision of glucose polymers (maltodextrin) as transportable carbohydrates in addition Sapanisertib solubility dmso to fructose in Rehydrate might have conferred some performance benefits. The generally higher gastric emptying rate of glucose polymer solutions than that of free glucose solutions [28] may result in increased intestinal absorption and nutrient supply

to the active muscles [10]. Solutions containing glucose polymers possess a higher energy density than simple sugar containing beverages with similar osmolality [29] and also show the ability to maximize glycogen re-synthesis in the muscles [10]. Glucose polymers undergo degradation to glucose by salivary and pancreatic amylases and mucosal glucoamylase in the upper gastrointestinal tract, resulting in a more prolonged absorption, utilization and oxidation than that obtained with simple sugars [30, 31]. The rate of oxidation of maltodextrin is higher than that of fructose [10, 32]. Their find more combination, however, may facilitate sustained conversion/oxidation Enzalutamide ic50 in the body and produce higher oxidation than that obtained with single carbohydrates [33], delaying the onset of fatigue, sparing endogenous carbohydrate reserves, and thus enhancing endurance. Both oral L-glutamine and oral glucose polymer, present in Rehydrate, promote the storage of muscle glycogen while the ingestion of L-glutamine and glucose polymer together enhance the storage of carbohydrate outside of skeletal muscle [34, 35], the most feasible site being the liver. The metabolism of L-glutamine is an indicator of pyruvate generation and metabolic capacity during cycling exercise in humans [36].

Quantitative real time PCR (qPCR) was used for a more accurate

Quantitative real time PCR (qPCR) was used for a more accurate determination of the respective plasmid copy numbers, according to the method described by Skulj et al.[42]. Using this relative quantification approach, the PCN is determined by quantifying the number of plasmid molecules per chromosome molecules in each sample using specific qPCR primer sets. We

designed two sets of qPCR primers for each plasmid, which targeted distinct loci: the rep and mob genes of pZMO7, as well as click here the rep gene and a non-coding region of the pZMO1A plasmid (see Additional file 1). The polyphosphate kinase 2 (ppk2) gene, a highly-conserved single copy gene present on the chromosomes of all characterized Z. mobilis strains [ATCC 29291: ZZ6_0566; NCIMB 11163: Za10_0556; ATCC10988 (CU1 Rif2 parent): Zmob_0569] was LEE011 ic50 selected as a reference genetic locus for the determination

of Z. mobilis chromosome copy number. The two respective pairs of qPCR primers that targeted distinct regions on the pZMO1A or pZMO7 plasmids were then directly compared, to investigate whether or not there were notable differences in the PCN values obtained. The PCN for pZMO7 was determined to be 1.2 ± 0.1 when the rep gene was targeted, and was 1.4 ± 0.1 when the mob gene was targeted. In analogous experiments, the PCN of pZMO1A was found to be 5.0 ± 0.2 using the primer pair that targeted the rep gene, and was 5.3 ± 0.4 using the primer pair that targeted a predicted non-coding region of the plasmid. This data correlated closely with the estimates of relative AZD1080 supplier pZMO1A and pZMO7 plasmid abundances determined using gel-densitometry (see above). The consistent nature of the PCN values obtained indicated that both of the respective pairs of qPCR primers had equivalent target specificities

and amplification efficiencies. We next used qPCR to investigate whether the PCNs of pZMO7 and pZMO1A in cultured Z. mobilis NCIMB 11163 cells varied considerably during the different phases of growth (Additional file 5). It was found that PCN of of pZMO7 was relatively consistent throughout the growth phases, fluctuating slightly at around 1.2 copies per chromosome. The PCN of pZMO1A was around 4.5 to 5 during the lag and exponential phases, declining to around 3.0 during the stationary phase. Copy number determination for pZMO7-derived shuttle vectors in the Z. mobilis NCIMB 11163, ATCC 29191 and CU1 Rif2 strains A similar qPCR strategy was employed to investigate the copy numbers of the pZMO7-derived pZ7C and pZ7-184 plasmids, which had been established within the Z. mobilis NCIMB 11163, ATCC 29191 and CU1 Rif2 strains. We designed and utilized a qPCR primer pair targeting the chloramphenicol acetyl transferase (cat) gene; so that the PCNs of pZ7C and pZ7-184 could be distinguished from those of the native pZMO7 plasmids within the NCIMB 11163 strain (Additional file 1). This enabled PCNs to be directly compared between the three strains. Results are summarized in Table 2.

CrossRefPubMed 5 Parikh P, Malhotra H, Jelic S, Group EGW: Hepa

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