Robust experimental design for optimizing the microbial inhibitor test for penicillin detection in milk

Aims:  To use experimental design techniques and a multiple logistic regression model to optimize a microbiological inhibition test with dichotomous response for the detection of Penicillin G in milk.
Methods and Results:  A 2³ × 2² robust experimental design with two replications was used. The effects of three control factors (V: culture medium volume, S: spore concentration of Geobacillus stearothermophilus , I: indicator concentration), two noise factors (Dt: diffusion time, Ip: incubation period) and their interactions were studied. The V, S, Dt, Ip factors and V × S, V × Ip, S × Ip interactions showed significant effects.
Conclusions:  The use of 100  μ l culture medium volume, 2 × 10⁵ spores ml⁻¹, 60 min diffusion time and 3 h incubation period is recommended. In these elaboration conditions, the penicillin detection limit was of 3·9  μ g l⁻¹, similar to the maximum residue limit (MRL). Of the two noise factors studied, the incubation period can be controlled by means of the culture medium volume and spore concentration.
Significance and Impact of the Study:  We were able to optimize bioassays of dichotomous response using an experimental design and logistic regression model for the detection of residues at the level of MRL, aiding in the avoidance of health problems in the consumer.     

A targeted genetic screen identifies crucial players in the specification of the Drosophila abdominal Capaergic neurons

The central nervous system contains a wide variety of neuronal subclasses generated by neural progenitors. The achievement of a unique neural fate is the consequence of a sequence of early and increasingly restricted regulatory events, which culminates in the expression of a specific genetic combinatorial code that confers individual characteristics to the differentiated cell. How the earlier regulatory events influence post-mitotic cell fate decisions is beginning to be understood in the Drosophila NB 5-6 lineage. However, it remains unknown to what extent these events operate in other lineages. To better understand this issue, we have used a very highly specific marker that identifies a small subset of abdominal cells expressing the Drosophila neuropeptide Capa: the ABCA neurons. Our data support the birth of the ABCA neurons from NB 5-3 in a cas temporal window in the abdominal segments A2-A4. Moreover, we show that the ABCA neuron has an ABCA-sibling cell which dies by apoptosis. Surprisingly, both cells are also generated in the abdominal segments A5-A7, although they undergo apoptosis before expressing Capa. In addition, we have performed a targeted genetic screen to identify players involved in ABCA specification. We have found that the ABCA fate requires zfh2, grain, Grunge and hedgehog genes. Finally, we show that the NB 5-3 generates other subtype of Capa-expressing cells (SECAs) in the third suboesophageal segment, which are born during a pdm/cas temporal window, and have different genetic requirements for their specification.     

Optimization of bioassay for tetracycline detection in milk by means of chemometric techniques

Aims: In this study, a microbiological method of dichotomous response using Bacillus cereus was designed and optimized to detect tetracyclines (TCs) at concentrations near to the maximum residue limits (MRLs). Methods and Results: In a first stage, the response time of bioassay was reduced to 5 h when the logarithm of spore concentration (log S) was increased. Later, a Plackett Burman design (2^6–3) was analysed using logistic regression model. This design indicates significant effects of log S and chloramphenicol (CAP) on the detection limit (DL) of TC. Then, the response surfaces (RS) of the TCs DTs as a function of log S and CAP were plotted using a Dohlert design and the logistic regression model. These RS show a linear decrease with the raise of CAP and a quadratic effect of log S. Finally, the DTs of TC (109 μg l^?1) and oxytetracycline (100 μg l^?1) were adjusted to their MRLs through the desirability function. Conclusions: By successive application of experimental design techniques could be optimized a bioassay for the detection of TC residues in milk. The best conditions have been achieved when the assay was made with log S = 5·12 and CAP = 470 μg l^?1. Significance and Impact of the Study: Experimental design techniques together with the logistic regression model and the desirability function represent an adequate tool for the optimization of a bioassay with binary response.     

Isolation of a naturally-occurring nickel resistance plasmid from a rare hypersaline estuary (Laguna Madre,Texas, USA) for potential use as a bio-indicator of metal contamination

Metal-resistant bacteria were isolated from sediments of the Laguna Madre, a rare hypersaline estuary impacted by many anthropogenic compounds, including various metals and metalloids. Bacteria were initially isolated on nutrient agar supplemented with NaCl; random isolates (n = 100) were tested for metal resistance toward zinc, nickel, chromium, and cadmium using a pour plate disc assay. Metal-resistant cultures were assayed for plasmids that contained naturally-occurring heavy metal resistance genes. Putative metal-resistance plasmids were tested for metal-resistance efficacy by transforming a metal-sensitive strain of Escherichia coli. Polymerase Chain Reaction (PCR) primers were designed to detect cnrA, part of a nickel–cobalt resistance gene cluster, and restriction endonuclease digests were performed to detect restriction sites within the plasmid. Results showed that many bacterial isolates tested were resistant toward most of the metals used in this study. Among tested bacteria cultures, 34 were resistant to zinc, 64 were resistant to chromium, and 51 resistant to cadmium. Only 8 cultures were resistant to nickel; however, most bacteria were found to be resistant to more than one metal. Several plasmids were found from the bacteria isolates. One plasmid, designated pDZ5, was isolated from a bacterium identified as Bacillus pumilus by 16S rRNA sequencing. Plasmid pDZ5 conferred nickel resistance to the metal-sensitive E. coli strain and was found to contain cnrA as confirmed by PCR amplification. Plasmid pDZ5 was successfully cut with restriction enzymes for potential ligation with reporter genes. The presence, abundance and expression of pDZ5 may prove to be a useful bio-indicator of metal contamination, specifically nickel pollution, in the Laguna Madre due to the fewer number of bacteria that were nickel-resistant compared to other metals.     

Autophagy differentially controls plant basal immunity to biotrophic and necrotrophic pathogens

In plants, autophagy has been assigned 'pro-death' and 'pro-survival' roles in controlling programmed cell death associated with microbial effector-triggered immunity. The role of autophagy in basal immunity to virulent pathogens has not been addressed systematically, however. Using several autophagy-deficient (atg) genotypes, we determined the function of autophagy in basal plant immunity. Arabidopsis mutants lacking ATG5, ATG10 and ATG18a develop spreading necrosis upon infection with the necrotrophic fungal pathogen, Alternaria brassicicola, which is accompanied by the production of reactive oxygen intermediates and by enhanced hyphal growth. Likewise, treatment with the fungal toxin fumonisin B1 causes spreading lesion formation in atg mutant genotypes. We suggest that autophagy constitutes a 'pro-survival' mechanism that controls the containment of host tissue-destructive microbial infections. In contrast, atg plants do not show spreading necrosis, but exhibit marked resistance against the virulent biotrophic phytopathogen, Pseudomonas syringae pv. tomato. Inducible defenses associated with basal plant immunity, such as callose production or mitogen-activated protein kinase activation, were unaltered in atg genotypes. However, phytohormone analysis revealed that salicylic acid (SA) levels in non-infected and bacteria-infected atg plants were slightly higher than those in Col-0 plants, and were accompanied by elevated SA-dependent gene expression and camalexin production. This suggests that previously undetected moderate infection-induced rises in SA result in measurably enhanced bacterial resistance, and that autophagy negatively controls SA-dependent defenses and basal immunity to bacterial infection. We infer that the way in which autophagy contributes to plant immunity to different pathogens is mechanistically diverse, and thus resembles the complex role of this process in animal innate immunity.     

Chinchilla laniger can be used as an experimental model for Taenia solium taeniasis

Chinchilla laniger has been reported as an experimental definitive host for Taenia solium; however no information about its suitability and yield of gravid tapeworm proglottids containing viable and infective eggs has been published. In total 55 outbred female chinchillas were infected with 4 cysticerci each; hosts were immunodeppressed with 6 or 8 mg of methyl-prednisolone acetate every 14 days starting the day of infection and their discomfort was followed. Kinetics of coproantigen ELISA or expelled proglottids was used to define the infection status. Efficiency of tapeworm establishment was 21% and of parasite gravidity was 8%; chinchillas showed some degree of suffering along the infection. Viability of eggs obtained from gravid proglottids was tested comparing methods previously published, our results showed 62% viability with propidium iodide, 54% with trypan blue, 34% with neutral red, 30% by oncosphere activation and 7% with bromide 3-(4,5-dimetil-tiazol-2-il)-2,5-difenil-tetrazolio (MTT) reduction; no statistical differences were obtained between most techniques, except activation. Four piglets were infected with 50,000 eggs each, necropsy was performed 3 months later and, after counting the number of cysticerci recovered, the percentage of infection was similar to data obtained with T. solium eggs recovered from humans. Our results demonstrate that the experimental model of T. solium taeniasis in C. laniger is a good alternative for providing eggs and adult tapeworms to be used in different types of experiments; optimization of the model probably depends on the use of inbred hosts and on the reduction of infected animals' suffering.     

Biotic and abiotic parameters that distinguish types of temporary ponds in a Portuguese Mediterranean ecosystem

Temporary ponds are seasonal wetland habitats subjected to extreme and unstable ecological conditions. Some are classified as priority habitats for conservation by the European Union Habitats Directive. Our study area was the coastal plain of southwest Portugal, which spans across 100 km north to south and hosts a large number of temporary ponds as a consequence of climatic and edaphic characteristics. Field sampling of floristic and edaphic data was carried out in 24 temporary ponds every spring between 2005 and 2008. We recorded a total of 174 plant species identified within visually homogeneous plots. We included the data in a geographic information system and classified ponds according to their floristic composition, using a biotic regionalization analysis based on species presence/absence, which is a practical and unambiguous criterion. We found three significantly different groups of ponds which corresponded to an eco-physiognomic pond typology: Mediterranean temporary ponds, marshlands, and disturbed ponds. For the first two pond types we defined characteristic or indicator plant species. We searched also for relationships between pond type and a series of large-scale climatic, geographic, and geological variables, as well as local-scale physical and chemical properties of the soil. Pond type was distinguished by a complex combination of some of these variables, including environmental energy, soil texture, nitrogen content of the soil and pH. A practical way of discriminating between different types of ponds is important so that management and conservation measures can be defined accordingly.     

Systems biology approach predicts antibody signature associated with Brucella melitensis infection in humans

A complete understanding of the factors that determine selection of antigens recognized by the humoral immune response following infectious agent challenge is lacking. Here we illustrate a systems biology approach to identify the antibody signature associated with Brucella melitensis (Bm) infection in humans and predict proteomic features of serodiagnostic antigens. By taking advantage of a full proteome microarray expressing previously cloned 1406 and newly cloned 1640 Bm genes, we were able to identify 122 immunodominant antigens and 33 serodiagnostic antigens. The reactive antigens were then classified according to annotated functional features (COGs), computationally predicted features (e.g., subcellular localization, physical properties), and protein expression estimated by mass spectrometry (MS). Enrichment analyses indicated that membrane association and secretion were significant enriching features of the reactive antigens, as were proteins predicted to have a signal peptide, a single transmembrane domain, and outer membrane or periplasmic location. These features accounted for 67% of the serodiagnostic antigens. An overlay of the seroreactive antigen set with proteomic data sets generated by MS identified an additional 24%, suggesting that protein expression in bacteria is an additional determinant in the induction of Brucella-specific antibodies. This analysis indicates that one-third of the proteome contains enriching features that account for 91% of the antigens recognized, and after B. melitensis infection the immune system develops significant antibody titers against 10% of the proteins with these enriching features. This systems biology approach provides an empirical basis for understanding the breadth and specificity of the immune response to B. melitensis and a new framework for comparing the humoral responses against other microorganisms.