| Title |
Olfactory Mechanisms for Discovery of Odorants to Reduce Insect-Host Contact
|
|---|---|
| Published in |
Journal of Chemical Ecology, September 2016
|
| DOI | 10.1007/s10886-016-0770-3 |
| Pubmed ID | |
| Authors |
Jonathan T. Clark, Anandasankar Ray |
| Abstract |
Insects have developed highly sophisticated and sensitive olfactory systems to find animal or plant hosts for feeding. Some insects vector pathogens that cause diseases in hundreds of millions of people and destroy billions of dollars of food products every year. There is great interest, therefore, in understanding how the insect olfactory system can be manipulated to reduce their contact with hosts. Here, we review recent advances in our understanding of insect olfactory detection mechanisms, which may serve as a foundation for designing insect control programs based on manipulation of their behaviors by using odorants. Because every insect species has a unique set of olfactory receptors and olfactory-mediated behaviors, we focus primarily on general principles of odor detection that potentially apply to most insects. While these mechanisms have emerged from studies on model systems for study of insect olfaction, such as Drosophila melanogaster, they provide a foundation for discovery of odorants to repel vector insects or reduce their host-seeking behavior. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 50% |
| Sweden | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 69 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 10 | 14% |
| Researcher | 9 | 13% |
| Student > Bachelor | 9 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 18 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 37% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Neuroscience | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 23 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2016.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from Journal of Chemical Ecology
#1,582
of 2,065 outputs
Outputs of similar age
#195,488
of 323,008 outputs
Outputs of similar age from Journal of Chemical Ecology
#19
of 28 outputs
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