A genetic and physical map of bovine Chromosome 11

A genetic map of bovine Chromosome (Chr) 11 (BTA11, synteny group U16) has been constructed from 330 animals belonging to 21 families, which constitute the international bovine reference panel (IBRP). This map is based on 13 polymorphic microsatellite markers, two of which were chosen in previously published maps. Three markers have been isolated from cosmids. Two of the three cosmids have been physically localized by fluorescence in situ hybridization (FISH), to anchor the genetic map on the chromosome. In addition, a biallelic polymorphism in the -lactoglobulin gene (LGB) has been genetically positioned relative to the microsatellite markers. The most probable order of the markers is: cen-INRA044-BM716-INRA177-(TGLA 327, INRA198, INRA131)-INRA111-INRABERN169-(INRA115, INRA032)-INRA108-INRABERN162-INRA195-LGB. T The total linkage group spans 126 cM, which probably corresponds to most of the chromosome length. The average intermarker distance is about 10.5 cM, allowing the potential detection of a genetic linkage with any Economic Trait Loci (ETL) of this chromosome.     

Cosmid-derived markers anchoring the bovine genetic map to the physical map

The mapping strategy for the bovine genome described in this paper uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing, and was one objective of the BovMap Project funded by the European Union (UE). Eight-three cosmid and phage clones were characterized and used to physically anchor the linkage groups defining all the bovine autosomes and the X Chromosome (Chr). By combining physical and genetic mapping, clones described in this paper have led to the identification of the linkage groups corresponding to Chr 9, 12, 16, and 25. In addition, anchored loci from this study were used to orient the linkage groups corresponding to Chr 3, 7, 8, 9, 13, 16, 18, 19, and 28 as identified in previously published maps. Comparison of the estimated size of the physical and linkage maps suggests that the genetic length of the bovine genome may be around 4000 cM. Received: 1 July 1996 / Accepted: 13 September 1996     

Cloning, expression, and sequence analysis of the genes for carbon monoxide dehydrogenase of Methanothrix soehngenii

The cdhA and cdhB genes that code for the large and the small subunits of carbon monoxide dehydrogenase (CDH), respectively, were isolated from a genomic library of Methanothrix soehngenii DNA in Escherichia coli, using polyclonal antibodies raised against purified CDH. After introduction in E. coli or Desulfovibrio vulgaris, the cdh genes appeared to be expressed irrespective of their orientation, yielding immunoreactive proteins of 79 and 19 kDa, corresponding in size to the known subunits of purified CDH. However, no CDH activity could be detected in these heterologous hosts. The cdh genes are preceded by consensus ribosome-binding sites and are arranged in an operon-like structure, with cdhA preceding cdhB. Upstream from this operon, sequences similar to archaeal promoters were identified. The amino acid sequence, deduced from the primary sequence of cdhA, showed homology with ferredoxins and with acyl-CoA oxidase. This is compatible with the proposed functions of CDH.     

Use of a Modified Pediatric Early Warning Score in a Department of Pediatric and Adolescent Medicine

Background

Several versions of the Pediatric Early Warning Score (PEWS) exist, but there is limited information available on the use of such systems in different contexts. In the present study, we aimed to examine the relationship between a modified version of The Brighton Paediatric Early Warning Score (PEWS) and patient characteristics in a Norwegian department of pediatric and adolescent medicine. In addition, we sought to establish guidelines for escalation in patient care based on the PEWS in our patient population.

Methods

The medical records of patients referred for acute care from March to May 2011 were retrospectively reviewed. Children with a PEWS ≥3 were compared to children with a PEWS 0–2 with regard to age, diagnostic group and indicators of severe disease.

Results

A total of 761 patients (0−18 years of age) were included in the analysis. A younger age and diagnostic groups such as lower airway and cardiovascular disease were associated with PEWS ≥3. Upper airway disease and minor injury were more frequent in patients with PEWS 0−2. Children with PEWS ≥3 received fluid resuscitation, intravenous antibiotics, and oxygen supplementation, and were transferred to a higher level of care more often than children with PEWS 0−2.

Conclusions

A PEWS ≥3 was associated with severe illnesses and surrogate markers of cardio-respiratory compromise. Patients with PEWS ≥3 should be carefully monitored to prevent further deterioration.     

Effect of enzyme dehydration on alcalase‐catalyzed dipeptide synthesis in near‐anhydrous organic media

The effect of enzyme dehydration by molecular sieves on the coupling of phenylalanine amide and the carbamoylmethyl ester of N‐protected phenylalanine in near‐anhydrous tetrahydrofuran was investigated. This coupling was catalyzed by Alcalase covalently immobilized onto macroporous acrylic beads (Cov); these immobilized enzymes were hydrated prior to use. The dehydration kinetics of Cov by molecular sieve powder were determined by incubating Cov with different amounts of molecular sieve powder for different periods of time (0–80 h). Subsequently, the remaining coupling activity of Cov was measured. Dehydration‐induced inactivation of Cov by molecular sieve powder was found to occur in three phases: (1) an initial, rapid, major dehydration‐induced inactivation that takes place during the first activity measurement, (2) a phase of first‐order inactivation, and (3) a plateau phase in activity. These dehydration kinetics were incorporated into a previously found reaction kinetics model. The resulting model was then used to fit progress curve data of the coupling in the presence of different amounts of molecular sieve powder. Upon establishment of parameter values, the model was used to predict independent data sets and found to work well. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:870–875, 2013