Title |
Identification of chemosensory receptor genes in Manduca sexta and knockdown by RNA interference
|
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Published in |
BMC Genomics, May 2012
|
DOI | 10.1186/1471-2164-13-211 |
Pubmed ID | |
Authors |
Natalie Howlett, Katherine L Dauber, Aditi Shukla, Brian Morton, John I Glendinning, Elyssa Brent, Caroline Gleason, Fahmida Islam, Denisse Izquierdo, Sweta Sanghavi, Anika Afroz, Aanam Aslam, Marissa Barbaro, Rebekah Blutstein, Margarita Borovka, Brianna Desire, Ayala Elikhis, Qing Fan, Katherine Hoffman, Amy Huang, Dominique Keefe, Sarah Lopatin, Samara Miller, Priyata Patel, Danielle Rizzini, Alyssa Robinson, Karimah Rokins, Aneta Turlik, Jennifer H Mansfield |
Abstract |
Insects detect environmental chemicals via a large and rapidly evolving family of chemosensory receptor proteins. Although our understanding of the molecular genetic basis for Drosophila chemoreception has increased enormously in the last decade, similar understanding in other insects remains limited. The tobacco hornworm, Manduca sexta, has long been an important model for insect chemosensation, particularly from ecological, behavioral, and physiological standpoints. It is also a major agricultural pest on solanaceous crops. However, little sequence information and lack of genetic tools has prevented molecular genetic analysis in this species. The ability to connect molecular genetic mechanisms, including potential lineage-specific changes in chemosensory genes, to ecologically relevant behaviors and specializations in M. sexta would be greatly beneficial. |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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China | 2 | 3% |
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Unknown | 70 | 96% |
Demographic breakdown
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Student > Ph. D. Student | 13 | 18% |
Student > Master | 12 | 16% |
Student > Bachelor | 11 | 15% |
Researcher | 10 | 14% |
Professor > Associate Professor | 6 | 8% |
Other | 9 | 12% |
Unknown | 12 | 16% |
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Biochemistry, Genetics and Molecular Biology | 10 | 14% |
Neuroscience | 7 | 10% |
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Immunology and Microbiology | 1 | 1% |
Other | 2 | 3% |
Unknown | 12 | 16% |