Tool for rapid annotation of microbial SNPs (TRAMS): a simple program for rapid annotation of genomic variation in prokaryotes.

Next generation sequencing (NGS) has been widely used to study genomic variation in a variety of prokaryotes. Single nucleotide polymorphisms (SNPs) resulting from genomic comparisons need to be annotated for their functional impact on the coding sequences. We have developed a program, TRAMS, for functional annotation of genomic SNPs which is available to download as a single file executable for WINDOWS users with limited computational experience and as a Python script for Mac OS and Linux users. TRAMS needs a tab delimited text file containing SNP locations, reference nucleotide and SNPs in variant strains along with a reference genome sequence in GenBank or EMBL format. SNPs are annotated as synonymous, nonsynonymous or nonsense. Nonsynonymous SNPs in start and stop codons are separated as non-start and non-stop SNPs, respectively. SNPs in multiple overlapping features are annotated separately for each feature and multiple nucleotide polymorphisms within a codon are combined before annotation. We have also developed a workflow for Galaxy, a highly used tool for analysing NGS data, to map short reads to a reference genome and extract and annotate the SNPs. TRAMS is a simple program for rapid and accurate annotation of SNPs that will be very useful for microbiologists in analysing genomic diversity in microbial populations.

Functional analysis of the SRV-1 RNA frameshifting pseudoknot.

Simian retrovirus type-1 uses programmed ribosomal frameshifting to control expression of the Gag-Pol polyprotein from overlapping gag and pol open-reading frames. The frameshifting signal consists of a heptanucleotide slippery sequence and a downstream-located 12-base pair pseudoknot. The solution structure of this pseudoknot, previously solved by NMR [Michiels,P.J., Versleijen,A.A., Verlaan,P.W., Pleij,C.W., Hilbers,C.W. and Heus,H.A. (2001) Solution structure of the pseudoknot of SRV-1 RNA, involved in ribosomal frameshifting. J. Mol. Biol., 310, 1109-1123] has a classical H-type fold and forms an extended triple helix by interactions between loop 2 and the minor groove of stem 1 involving base-base and base-sugar contacts. A mutational analysis was performed to test the functional importance of the triple helix for -1 frameshifting in vitro. Changing bases in L2 or base pairs in S1 involved in a base triple resulted in a 2- to 5-fold decrease in frameshifting efficiency. Alterations in the length of L2 had adverse effects on frameshifting. The in vitro effects were well reproduced in vivo, although the effect of enlarging L2 was more dramatic in vivo. The putative role of refolding kinetics of frameshifter pseudoknots is discussed. Overall, the data emphasize the role of the triple helix in -1 frameshifting.

Differential transcription of expanded gene families in central carbon metabolism of Streptomyces coelicolor A3(2).

BACKGROUND: Streptomycete bacteria are prolific producers of specialized metabolites, many of which have clinically relevant bioactivity. A striking feature of their genomes is the expansion of gene families that encode the same enzymatic function. Genes that undergo expansion events, either by horizontal gene transfer or duplication, can have a range of fates: genes can be lost, or they can undergo neo-functionalization or sub-functionalization. To test whether expanded gene families in Streptomyces exhibit differential expression, an RNA-Seq approach was used to examine cultures of wild-type Streptomyces coelicolor grown with either glucose or tween as the sole carbon source. RESULTS: RNA-Seq analysis showed that two-thirds of genes within expanded gene families show transcriptional differences when strains were grown on tween compared to glucose. In addition, expression of specialized metabolite gene clusters (actinorhodin, isorenieratane, coelichelin and a cryptic NRPS) was also influenced by carbon source. CONCLUSIONS: Expression of genes encoding the same enzymatic function had transcriptional differences when grown on different carbon sources. This transcriptional divergence enables partitioning to function under different physiological conditions. These approaches can inform metabolic engineering of industrial Streptomyces strains and may help develop cultivation conditions to activate the so-called silent biosynthetic gene clusters.