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Avian influenza virus detection using smell

Date:
October 16, 2013
Source:
Monell Chemical Senses Center
Summary:
New research reveals that avian influenza, which typically is asymptomatic, can be detected based on odor changes in infected birds. The results suggest a rapid and simple detection method to help prevent the spread of influenzas in avian populations.
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New research from the Monell Chemical Senses Center and the U.S. Department of Agriculture (USDA) reveals how diseases can modify animal odors in subtle ways. In a recent study published in the public access journal PLOS ONE, scientists examined how infection with avian influenza (AIV) alters fecal odors in mallards.

Using both behavioral and chemical methods, the findings reveal that AIV can be detected based on odor changes in infected birds.

"The fact that a distinctive fecal odor is emitted from infected ducks suggests that avian influenza infection in mallards may be 'advertised' to other members of the population," notes Bruce Kimball, PhD, a research chemist with the USDA National Wildlife Research Center (NWRC) stationed at the Monell Center. "Whether this chemical communication benefits non-infected birds by warning them to stay away from sick ducks or if it benefits the pathogen by increasing the attractiveness of the infected individual to other birds, is unknown."

In the study, laboratory mice were trained to discriminate between feces from AIV-infected and non-infected ducks, indicating a change in odor. Chemical analysis then identified the chemical compounds associated with the odor changes as acetoin and 1-octen-3-ol.

The same compounds also have been identified as potential biomarkers for diagnosing gastrointestinal diseases in humans. Kimball and colleagues hypothesize that metabolites resulting from viral infection interact in concert with bacteria in the gastro-intestinal system of ducks to produce "odor signatures" indicating presence of the AI virus.

"Avian influenzas are typically asymptomatic in ducks and waterfowl. Infection in these species can only be diagnosed by directly detecting the virus, requiring capture of birds and collection of swab samples. Our results suggest that rapid and simple detection of influenzas in waterfowl populations may be possible through exploiting this odor change phenomenon," said Monell behavioral biologist Gary Beauchamp, PhD, also an author on the paper.

Future work will assess whether odor changes can be used for surveillance of AIV in waterfowl. In particular, researchers are interested in whether the odor change is specific to the AIV pathogen or if it is merely a general response to a variety of pathogens normally found in birds. Other studies will explore communicative functions of the AIV odor to gain greater understanding of how odors can shape social behavior in wildlife populations.

Also contributing to the research, which was funded by the National Wildlife Research Center, were Kunio Yamazaki and Maryanne Opiekun of Monell and Richard Bowen and Jack Muth from Colorado State University. Dr. Yamazaki, who actively contributed to the design and realization of this work, died in April 2103.


Story Source:

The above post is reprinted from materials provided by Monell Chemical Senses Center. Note: Materials may be edited for content and length.


Journal Reference:

  1. Bruce A. Kimball, Kunio Yamazaki, Dennis Kohler, Richard A. Bowen, Jack P. Muth, Maryanne Opiekun, Gary K. Beauchamp. Avian Influenza Infection Alters Fecal Odor in Mallards. PLoS ONE, 2013; 8 (10): e75411 DOI: 10.1371/journal.pone.0075411

Cite This Page:

Monell Chemical Senses Center. "Avian influenza virus detection using smell." ScienceDaily. ScienceDaily, 16 October 2013. <www.sciencedaily.com/releases/2013/10/131016212439.htm>.
Monell Chemical Senses Center. (2013, October 16). Avian influenza virus detection using smell. ScienceDaily. Retrieved September 3, 2015 from www.sciencedaily.com/releases/2013/10/131016212439.htm
Monell Chemical Senses Center. "Avian influenza virus detection using smell." ScienceDaily. www.sciencedaily.com/releases/2013/10/131016212439.htm (accessed September 3, 2015).

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