Surface plasmon resonance aptasensor for Brucella detection in milk

The MEME Suite web server provides a unified portal for online discovery and analysis of sequence motifs representing features such as DNA binding sites and protein interaction domains. The popular MEME motif discovery algorithm is now complemented by the GLAM2 algorithm which allows discovery of motifs containing gaps. Three sequence scanning algorithms—MAST, FIMO and GLAM2SCAN—allow scanning numerous DNA and protein sequence databases for motifs discovered by MEME and GLAM2. Transcription factor motifs (including those discovered using MEME) can be compared with motifs in many popular motif databases using the motif database scanning algorithm Tomtom. Transcription factor motifs can be further analyzed for putative function by association with Gene Ontology (GO) terms using the motif-GO term association tool GOMO. MEME output now contains sequence LOGOS for each discovered motif, as well as buttons to allow motifs to be conveniently submitted to the sequence and motif database scanning algorithms (MAST, FIMO and Tomtom), or to GOMO, for further analysis. GLAM2 output similarly contains buttons for further analysis using GLAM2SCAN and for rerunning GLAM2 with different parameters. All of the motif-based tools are now implemented as web services via Opal. Source code, binaries and a web server are freely available for noncommercial use at http://meme.nbcr.net.

In the past two decades, high-affinity nucleic acid aptamers have been developed for a wide variety of pure molecules and complex systems such as live cells. Conceptually, aptamers are developed by an evolutionary process, whereby, as selection progresses, sequences with a certain conformation capable of binding to the target of interest emerge and dominate the pool. This protocol, cell-SELEX (systematic evolution of ligands by exponential enrichment), is a method that can generate DNA aptamers that can bind specifically to a cell type of interest. Commonly, a cancer cell line is used as the target to generate aptamers that can differentiate that cell type from other cancers or normal cells. A single-stranded DNA (ssDNA) library pool is incubated with the target cells. Nonbinding sequences are washed off and bound sequences are recovered from the cells by heating cell-DNA complexes at 95 degrees C, followed by centrifugation. The recovered pool is incubated with the control cell line to filter out the sequences that bind to common molecules on both the target and the control, leading to the enrichment of specific binders to the target. Binding sequences are amplified by PCR using fluorescein isothiocyanate-labeled sense and biotin-labeled antisense primers. This is followed by removal of antisense strands to generate an ssDNA pool for subsequent rounds of selection. The enrichment of the selected pools is monitored by flow cytometry binding assays, with selected pools having increased fluorescence compared with the unselected DNA library. The procedure, from design of oligonucleotides to enrichment of the selected pools, takes approximately 3 months.

Several PCR assays which identify the genus Brucella but do not discriminate among species have been reported. We describe a PCR assay that comprises five oligonucleotide primers which can identify selected biovars of four species of Brucella. Individual biovars within a species are not differentiated. The assay can identify three biovars (1, 2, and 4) of B. abortus, all three biovars of B. melitensis, biovar 1 of B. suis, and all B. ovis biovars. These biovars include all of the Brucella species typically isolated from cattle in the United States, a goal of the present research. The assay exploits the polymorphism arising from species-specific localization of the genetic element IS711 in the Brucella chromosome. Identity is determined by the size(s) of the product(s) amplified from primers hybridizing at various distances from the element. The performance of the assay with U.S. field isolates was highly effective. When 107 field isolates were screened by the described method, there was 100% agreement with the identifications made by conventional methods. Six closely related bacteria (Agrobacterium radiobacter, Agrobacterium rhizogenes, Ochrobactrum anthropi, Rhizobium leguminosarum, Rhizobium meliloti, and Rhodospirillum rubrum) and two control bacteria (Bordetella bronchiseptica and Escherichia coli) tested negative by the assay.