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Flu Gene Database Speeds ID And Tracking Of Emerging Influenza Strains

Date:
April 27, 2007
Source:
Medical College of Wisconsin
Summary:
A new free, searchable genetic database will significantly improve diagnostic testing and genetic tracking of human and animal influenza viruses. The site will also facilitate rapid response as new virus strains emerge to cause either annual epidemics or the next pandemic.
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A Medical College of Wisconsin and Children’s Research Institute team in Milwaukee has created a free, searchable genetic database that will significantly improve diagnostic testing and genetic tracking of human and animal influenza viruses. The site, which is automatically updated weekly, will also facilitate rapid response as new virus strains emerge to cause either annual epidemics or the next pandemic.

In a striking example of translational, or bench-to-bedside, research the multidisciplinary team has created a searchable database, containing all accessible genetic sequences of influenza A, B, and C and integrated them into the website, http://www.IPDR.mcw.edu. The website was presented at two recent meetings: Seasonal & Pandemic Influenza, 2007 in Arlington, VA, and IX International Symposium on Respiratory viral infections in Hong Kong.

With the widespread availability of rapid genetic testing for influenza in clinics and laboratories, considerable resources are spent on bioinformatics annually, by many researchers and funding agencies worldwide , trying to improve influenza diagnostics, according to presenting author Kelly Henrickson, M.D., professor of pediatrics and microbiology.

“Since the 1997 Hong Kong bird flu outbreak, the focus of the world and its scientific community has intensified on all aspects of influenza,” he says. “As a result, there has been a significant increase in the amount of genomic data for influenza, which is now greater than 46,000 genetic sequences and growing by hundreds monthly.”

Constantly updated to keep pace with emergence of new virus strains, this tool will also reduce the enormous resources being expended worldwide on duplicate efforts. The site’s simple, pop-up query screen, allows all 46,000+ sequences in its database to be searched, or probed, with a set of criteria including: gene segment, year, species, geographic location, and subtype. The unique feature of this website is that after quickly aligning the genetic sequences, it displays the consensus sequence with the percentage of match, mismatch and gap at each position for rapid identification of the strain being tested.

In addition, the website offers two other important tools: 1) a program that can automatically design primers and probes for the resulting consensus sequence and 2) a program that links the user and consensus sequence to a database containing the majority of published and already developed influenza primers and probes; displaying this data aligned to the consensus sequence using colored primer/probe sequences that when “clicked on” produces the complete reference for the user.

According to Dr. Henrickson, even though the NIH has funded improved bioinformatics for a number of infectious diseases, including influenza, the tools currently available have been limited and not as much help to clinicians and researchers working on molecular diagnostics for influenza.

Currently, this website only focuses on the influenza virus information. However, other pathogens which cause respiratory tract infections, such as RSV and parainfluenza virus, will be added to this website in the near future.

Other team members include: pediatric research technologist Michael E. Bose (MS), assistant professor of pediatrics Jiang Fan, MD; bioinformatics center applications manager Andrew Patzer, physiology genetics data specialist Jack Littrell, and pediatric infections disease lab supervisor Andrea J. Kraft (MS). This work is partially funded by the National Institute of Allergy and Infectious Diseases.


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The above post is reprinted from materials provided by Medical College of Wisconsin. Note: Materials may be edited for content and length.


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Medical College of Wisconsin. "Flu Gene Database Speeds ID And Tracking Of Emerging Influenza Strains." ScienceDaily. ScienceDaily, 27 April 2007. <www.sciencedaily.com/releases/2007/04/070426122415.htm>.
Medical College of Wisconsin. (2007, April 27). Flu Gene Database Speeds ID And Tracking Of Emerging Influenza Strains. ScienceDaily. Retrieved August 3, 2015 from www.sciencedaily.com/releases/2007/04/070426122415.htm
Medical College of Wisconsin. "Flu Gene Database Speeds ID And Tracking Of Emerging Influenza Strains." ScienceDaily. www.sciencedaily.com/releases/2007/04/070426122415.htm (accessed August 3, 2015).

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