10 research outputs found
Modulations of the Chicken Cecal Microbiome and Metagenome in Response to Anticoccidial and Growth Promoter Treatment
With increasing pressures to reduce or eliminate the use of antimicrobials for growth promotion purposes in production animals, there is a growing need to better understand the effects elicited by these agents in order to identify alternative approaches that might be used to maintain animal health. Antibiotic usage at subtherapeutic levels is postulated to confer a number of modulations in the microbes within the gut that ultimately result in growth promotion and reduced occurrence of disease. This study examined the effects of the coccidiostat monensin and the growth promoters virginiamycin and tylosin on the broiler chicken cecal microbiome and metagenome. Using a longitudinal design, cecal contents of commercial chickens were extracted and examined using 16S rRNA and total DNA shotgun metagenomic pyrosequencing. A number of genus-level enrichments and depletions were observed in response to monensin alone, or monensin in combination with virginiamycin or tylosin. Of note, monensin effects included depletions of Roseburia, Lactobacillus and Enterococcus, and enrichments in Coprococcus and Anaerofilum. The most notable effect observed in the monensin/virginiamycin and monensin/tylosin treatments, but not in the monensin-alone treatments, was enrichments in Escherichia coli. Analysis of the metagenomic dataset identified enrichments in transport system genes, type I fimbrial genes, and type IV conjugative secretion system genes. No significant differences were observed with regard to antimicrobial resistance gene counts. Overall, this study provides a more comprehensive glimpse of the chicken cecum microbial community, the modulations of this community in response to growth promoters, and targets for future efforts to mimic these effects using alternative approaches
The T cell antigen receptor: the Swiss army knife of the immune system
The mammalian T cell receptor (TCR) orchestrates immunity by responding
to many billions of different ligands that it has never encountered before
and cannot adapt to at the protein sequence level. This remarkable receptor
exists in two main heterodimeric isoforms: ab TCR and gd TCR. The ab
TCR is expressed on the majority of peripheral T cells. Most ab T cells
recognize peptides, derived from degraded proteins, presented at the cell
surface in molecular cradles called major histocompatibility complex (MHC)
molecules. Recent reports have described other ab T cell subsets. These
‘unconventional’ T cells bear TCRs that are capable of recognizing lipid
ligands presented in the context of the MHC-like CD1 protein family or
bacterial metabolites bound to the MHC-related protein 1 (MR1). gd T cells
constitute a minority of the T cell pool in human blood, but can represent
up to half of total T cells in tissues such as the gut and skin. The identity
of the preferred ligands for gd T cells remains obscure, but it is now
known that this receptor can also functionally engage CD1-lipid, or
immunoglobulin (Ig) superfamily proteins called butyrophilins in the
presence of pyrophosphate intermediates of bacterial lipid biosynthesis.
Interactions between TCRs and these ligands allow the host to discriminate
between self and non-self and co-ordinate an attack on the latter. Here, we
describe how cells of the T lymphocyte lineage and their antigen receptors
are generated and discuss the various modes of antigen recognition by these
extraordinarily versatile receptors
Presence of microporosity in Miocene carbonate platform, Central Luconia, offshore Sarawak, Malaysia
Why must T cells be cross-reactive?
Clonal selection theory proposed that individual T cells are specific for a single peptide–MHC antigen. However, the repertoire of αβ T cell receptors (TCRs) is dwarfed by the vast array of potential foreign peptide–MHC complexes, and a comprehensive system requires each T cell to recognize numerous peptides and thus be cross-reactive. This compromise on specificity has profound implications because the chance of any natural peptide–MHC ligand being an optimal fit for its cognate TCR is small, as there will almost always be more-potent agonists. Furthermore, any TCR raised against a specific peptide–MHC complex in vivo can only be the best available solution from the naive T cell pool and is unlikely to be the best possible solution from the substantially greater number of TCRs that could theoretically be produced. This 'systems view' of TCR recognition provides a plausible cause for autoimmune disease and substantial scope for multiple therapeutic interventions