Draft genome comparison of representatives of the three dominant genotype groups of dairy Bacillus licheniformis Strains

The spore-forming bacterium Bacillus licheniformis is a common contaminant of milk and milk products. Strains of this species isolated from dairy products can be differentiated into three major groups, namely, G, F1, and F2, using random amplification of polymorphic DNA (RAPD) analysis; however, little is known about the genomic differences between these groups and the identity of the fragments that make up their RAPD profiles. In this work we obtained high-quality draft genomes of representative strains from each of the three RAPD groups (designated strain G-1, strain F1-1, and strain F2-1) and compared them to each other and to B. licheniformis ATCC 14580 and Bacillus subtilis 168. Whole-genome comparison and multilocus sequence typing revealed that strain G-1 contains significant sequence variability and belongs to a lineage distinct from the group F strains. Strain G-1 was found to contain genes coding for a type I restriction modification system, urease production, and bacitracin synthesis, as well as the 8-kbp plasmid pFL7, and these genes were not present in strains F1-1 and F2-1. In agreement with this, all isolates of group G, but no group F isolates, were found to possess urease activity and antimicrobial activity against Micrococcus. Identification of RAPD band sequences revealed that differences in the RAPD profiles were due to differences in gene lengths, 3' ends of predicted primer binding sites, or gene presence or absence. This work provides a greater understanding of the phylogenetic and phenotypic differences observed within the B. licheniformis species

Muscle-Bound Primordial Stem Cells Give Rise to Myofiber-Associated Myogenic and Non-Myogenic Progenitors

Myofiber cultures give rise to myogenic as well as to non-myogenic cells. Whether these myofiber-associated non-myogenic cells develop from resident stem cells that possess mesenchymal plasticity or from other stem cells such as mesenchymal stem cells (MSCs) remain unsolved. To address this question, we applied a method for reconstructing cell lineage trees from somatic mutations to MSCs and myogenic and non-myogenic cells from individual myofibers that were cultured at clonal density

Management of the sick child

Of the 9 million deaths/yr that occur in children <5yrs, 3.6 million occur in the 1st month of life and 70% of the others are caused by acute respiratory infections, diarrhoea, measles, and malaria, +/− malnutrition. Most very sick children present with clinical features of more than one diagnosis; ∴ a single diagnosis at admission is often impossible. In many low-resource settings, there may be no paediatrician and sick children are managed by non-specialists. Deaths in hospitals often occur within the first 24h, so sick children need to be identified on arrival, and appropriate treatment instituted. The Emergency Triage Assessment and Treatment (ETAT) strategy, advocated by WHO, is a rapid screening process to identify children who require immediate treatment to avert death and long-term morbidity. Treatment of sick children must never be on a ‘first come, first served’ basis. WHO has published guidelines for the management of common childhood illnesses (second edition 2013), available online (see Box 1.1)</p

Hypervariable pili and flagella genes provide suitable new targets for DNA high-resolution melt-based genotyping of dairy Geobacillus spp.

Although nonpathogenic in nature, spores of Geobacillus are able to attach to surfaces, germinate, and form biofilms, allowing rapid multiplication and persistence within milk powder processing plants, causing final product contamination, and eventually leading to a loss of revenue in terms of downgraded product quality. As a result, Geobacillus spp. have been found to be common contaminants of milk powder worldwide. Genotyping methods can help in gaining insight into the ecology and transmission of these thermophilic bacteria within and between dairy processing plants. The objective of this study was to use the assembled draft genomes of two Geobacillus spp. to identify and test new hypervariable genotyping targets for differentiating closely related dairy Geobacillus isolates. The two Geobacillus spp. strains obtained from high spore count powders were obtained in 2010 (isolate 7E) and in 1995 (isolate 126) and were previously shown to be of same genotype based on a variable number tandem repeat genotyping method. Significant nucleotide sequence variation was found in genes encoding pili and flagella, which were further investigated as suitable loci for a new high-resolution melt analysis (HRMA)-based genotyping method. Three genes encoding pulG (containing prepilin-type N-terminal cleavage domain), pilT (pili retraction protein), and fliW (flagellar assembly protein) were selected as targets for the new pili/flagella gene (PilFla) HRMA genotyping method. The threegene- based PilFla-HRMA genotyping method differentiated 35 milk powder Geobacillus spp. isolates into 19 different genotype groups (D =0.93), which compared favorably to the previous method (which used four variable number tandem repeat loci) that generated 16 different genotype groups (D = 0.90). In conclusion, through comparative genomics of two closely related dairy Geobacillus strains, we have identified new hypervariable regions that prove to be useful targets for highly discriminatory genotyping

Is the Glycoprotein Responsible for the Differences in Dispersal Rates between Lettuce Necrotic Yellows Virus Subgroups?

Lettuce necrotic yellows virus is a type of species in the Cytorhabdovirus genus and appears to be endemic to Australia and Aotearoa New Zealand (NZ). The population of lettuce necrotic yellows virus (LNYV) is made up of two subgroups, SI and SII. Previous studies demonstrated that SII appears to be outcompeting SI and suggested that SII may have greater vector transmission efficiency and/or higher replication rate in its host plant or insect vector. Rhabdovirus glycoproteins are important for virus&ndash;insect interactions. Here, we present an analysis of LNYV glycoprotein sequences to identify key features and variations that may cause SII to interact with its aphid vector with greater efficiency than SI. Phylogenetic analysis of glycoprotein sequences from NZ isolates confirmed the existence of two subgroups within the NZ LNYV population, while predicted 3D structures revealed the LNYV glycoproteins have domain architectures similar to Vesicular Stomatitis Virus (VSV). Importantly, changing amino acids at positions 244 and 247 of the post-fusion form of the LNYV glycoprotein altered the predicted structure of Domain III, glycosylation at N248 and the overall stability of the protein. These data support the glycoprotein as having a role in the population differences of LNYV observed between Australia and New Zealand

Rapid identification of dairy mesophilic and thermophilic sporeforming bacteria using DNA high resolution melt analysis of variable 16S rDNA regions

Due to their ubiquity in the environment and ability to survive heating processes, sporeforming bacteria are commonly found in foods. This can lead to product spoilage if spores are present in sufficient numbers and where storage conditions favour spore germination and growth. A rapid method to identify the major aerobic sporeforming groups in dairy products, including Bacillus licheniformis group, Bacillus subtilis group, Bacillus pumilus group, Bacillus megaterium, Bacillus cereus group, Geobacillus species and Anoxybacillus flavithermus was devised. This method involves real-time PCR and high resolution melt analysis (HRMA) of V3 (similar to 70 bp) and V6 (similar to 100 bp) variable regions in the 165 rDNA. Comparisons of HRMA curves from 194 isolates of the above listed sporeforming bacteria obtained from dairy products which were identified using partial 16S rDNA sequencing, allowed the establishment of criteria for differentiating them from each other and several non-sporeforming bacteria found in samples. A blinded validation trial on 28 bacterial isolates demonstrated complete accuracy in unambiguous identification of the 7 different aerobic sporeformers. The reliability of HRMA method was also verified using boiled extractions of crude DNA, thereby shortening the time needed for identification. The HRMA method described in this study provides a new and rapid approach to identify the dominant mesophilic and thermophilic aerobic sporeforming bacteria found in a wide variety of dairy products. (C) 2013 Elsevier B.V. All rights reserved