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Christopher T Lewis

Publications and source records attributed to Christopher T Lewis.

2 recordsLinked to original sources

Single-nucleotide repeat analysis for subtyping Bacillus anthracis isolates.

Single-nucleotide repeats (SNRs) are variable-number tandem repeats that display very high mutation rates. In an outbreak situation, the use of a marker system that exploits regions with very high mutation rates, such as SNRs, allows the differentiation of isolates with extremely low levels of genetic diversity. This report describes the identification and analysis of SNR loci of Bacillus anthracis. SNR loci were selected in silico, and the loci with the highest diversity were used to design and test locus-specific primers against a number of B. anthracis strains with the same multilocus variable-number tandem repeat analysis (MLVA) genotype. SNR markers that allowed strains with the same MLVA genotype to be differentiated from each other were identified. The resulting SNR marker system can be used as a molecular epidemiological tool in a natural outbreak or bioterrorism event, offering the best chance of distinguishing very closely related isolates.

Animals↗

Maximizing the efficacy of SAGE analysis identifies novel transcripts in Arabidopsis.

The efficacy of using Serial Analysis of Gene Expression (SAGE) to analyze the transcriptome of the model dicotyledonous plant Arabidopsis was assessed. We describe an iterative tag-to-gene matching process that exploits the availability of the whole genome sequence of Arabidopsis. The expression patterns of 98% of the annotated Arabidopsis genes could theoretically be evaluated through SAGE and using an iterative matching process 79% could be identified by a tag found at a unique site in the genome. A total of 145,170 reliable experimental tags from two Arabidopsis leaf tissue SAGE libraries were analyzed, of which 29,632 were distinct. The majority (93%) of the 12,988 experimental tags observed greater than once could be matched within the Arabidopsis genome. However, only 78% were matched to a single locus within the genome, reflecting the complexities associated with working in a highly duplicated genome. In addition to a comprehensive assessment of gene expression in Arabidopsis leaf tissue, we describe evidence of transcription from pseudo-genes as well as evidence of alternative mRNA processing and anti-sense transcription. This collection of experimental SAGE tags could be exploited to assist in the on-going annotation of the Arabidopsis genome.

Antisense Elements (Genetics)↗