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Biology subjects

Hill, C. L.

Publications and source records attributed to Hill, C. L..

3 recordsLinked to original sources

A New Cost Effective, Simplified Workflow for Transposon Insertion Sequencing (TIS)

Transposon insertion sequencing (TIS) encompasses methods such as Transposon Directed Insertion sequencing (TraDIS) and Transposon-Sequencing (Tn-Seq); these methods are widely uses for genome scale screens of essential and conditionally essential genes. Early limitations centred on mutant generation, today the biggest factor is sequencing and data generation and the costs associated. Here, we present and evaluate four methods TIS sequencing library generation protocols compatible with Illumina whole genome sequencing (WGS) workflows to maximise sequence efficiency and minimise turnaround times and costs. Using E.coli BW25113 transposon mutagenesis libraries generated with Tn5 and mariner (Himar1) transposons, we compare the methods in terms of reagent cost, workflow complexity, and target enrichments for the recovery of unique insertion sites and essential genes identified. All methods generated TIS data suitable for gene essentiality analysis. Illumina Flex based protocols were 4-6 tomes cheaper than the traditional Illumina Nextera based approach with similar or superior Transposon-Chromosome (Tn-Chr) junction enrichment. Across all methods, sequencing depth and mutant library density were the dominant factor in useful biological insight. Subsampling demonstrated that for a good quality mutant library, five million reads were sufficient to identify essential genes in E.coli. Whereas deeper sequencing reduced the statistical power and included contaminating background noise, seen primarily with Tn5. We conclude that an Illumina Flex based approach, especially when integrating with routine WGS, provides an excellent balance of speed, cost and data quality. Assuming five million reads and a robust Illumina Flex approach, a TIS library can be sequenced for around {pound}40.

genomics↗

Sticking together: Independent evolution of biofilm formation in different species of staphylococci has occurred multiple times via different pathways

Various species of staphylococci cause a wide range of infections, including implant-associated infections which are often difficult to treat due to the presence of biofilms. Whilst some proteins involved in biofilm formation are known, the differences in biofilm production between staphylococcal species remains understudied. Currently biofilm formation by Staphylococcus aureus is better understood than for other members of the genus as more research effort has focused on this species. We assembled a panel of 385 non-aureus Staphylococcus isolates of 19 species from prosthetic joint infection as well as other clinical sources and reference strains. We assessed the biofilm forming ability of all strains using a high-throughput crystal violet assay. This identified distinct biofilm formation categories and we then compared the prevalence of Pfam domains and identified those which distinguished the categories as well as using machine learning to identify amino acid 20-mers linked to biofilm formation. This identified some domains within proteins already positively linked to biofilm formation but we also identified important domains not previously linked to biofilm formation. RT-qPCR confirmed the expression of selected genes predicted to encode important domains within biofilms in Staphylococcus epidermidis. The prevalence and distribution of biofilm associated domains showed a link to phylogeny, suggesting different Staphylococcus species have independently evolved different mechanisms of biofilm production. This work has identified different routes to biofilm formation in diverse species of Staphylococcus as well as suggesting independent evolution of biofilm has occurred multiple times across the genus. Understanding the mechanisms of biofilm formation in any given species is likely to require detailed study of relevant strains and the ability to generalise across the genus may be limited.

microbiology↗

MUCOSECRETORY LUNG DISEASE: DIFFERENT ASSEMBLIES OF JAG1 AND JAG2 DETERMINE TRACHEOBRONCHIAL CELL FATE

Mucosecretory lung disease compromises airway epithelial function and is characterized by goblet cell hyperplasia and ciliated cell hypoplasia. These cell types are derived from tracheobronchial stem/progenitor cells via a Notch dependent mechanism. Although specific arrays of Notch receptors regulate cell fate determination, the function of the ligands Jagged1 (JAG1) and Jagged2 (JAG2) is unclear. This study used primary human bronchial air-liquid- interface cultures, gamma secretase inhibition, and neutralizing antibodies to show: 1) JAG1 and JAG2 were necessary for secretory progenitor cell fate determination; 2) JAG2 suppressed squamous differentiation; and 3) pausing of the ciliated cell differentiation process after Notch inhibition. Histological, cell fractionation, cell surface biotinylation, and ubiquitination analyses demonstrated that all cells were JAG1 positive but that little JAG1 was present on the cell surface. In contrast, JAG2 was expressed in a positive-negative pattern and was abundant on the cell surface. Glycogen synthase kinase 3 (GSK3) and tankyrase inhibition studies showed that GSK3 regulated JAG2 trafficking, and that this mechanism was WNT-independent. Collectively, these data indicate that variation in JAG2 trafficking creates regions of high, medium, and low ligand expression. Thus, distinct assemblies of JAG1 and JAG2 may regulate Notch signal strength and determine the fate of tracheobronchial stem/progenitor cells. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/478334v2_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@37bb51org.highwire.dtl.DTLVardef@eaeaf5org.highwire.dtl.DTLVardef@e791dcorg.highwire.dtl.DTLVardef@1193d73_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO Different assemblies of JAG1 and JAG2 may determine Notch signal strength and cell fate within the tracheobronchial epithelium. A cell which interacts with JAG1+ cells (blue squares) receives a low Notch signal (light yellow square). A cell which interacts with a mixture of JAG1+ and JAG1+/JAG2+ cells (purple squares) receives a medium (med) Notch signal (medium yellow square). A cell which interacts with JAG1+/JAG2+ cells receives a high Notch signal (bright yellow square). C_FIG

cell biology↗