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<img src="https://static.igem.org/mediawiki/2016/4/4d/NCTU_IoTsys_design.png" class="picture"> | <img src="https://static.igem.org/mediawiki/2016/4/4d/NCTU_IoTsys_design.png" class="picture"> | ||
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<p class="content">For the practical application in the farmland, the farm will be divided into several areas, in each area, several sets of devices and sensors will be installed. The devices in each area will collect the farmland conditions respectively, and the data will be transmitted to one host device in each area through Bluetooth, and then the host will upload the data of its area up to the cloud through WiFi. When the data are uploaded to the cloud, it will send into the app in real time; thus the user can know the conditions in their farm simultaneously. As the time goes by, a database of the environmental information cloud will be created, the farm conditions will become big databases, and according to it, we can use the statistics of the big data to predict the future conditions as the number of pests, and auto-control the spraying system to spray Pantide or water more efficiently and accurately.<br>(See more in the <a href="https://2016.igem.org/Team:NCTU_Formosa/Demonstrate" style="color:#44E287;">Device</a>) </p> | <p class="content">For the practical application in the farmland, the farm will be divided into several areas, in each area, several sets of devices and sensors will be installed. The devices in each area will collect the farmland conditions respectively, and the data will be transmitted to one host device in each area through Bluetooth, and then the host will upload the data of its area up to the cloud through WiFi. When the data are uploaded to the cloud, it will send into the app in real time; thus the user can know the conditions in their farm simultaneously. As the time goes by, a database of the environmental information cloud will be created, the farm conditions will become big databases, and according to it, we can use the statistics of the big data to predict the future conditions as the number of pests, and auto-control the spraying system to spray Pantide or water more efficiently and accurately.<br>(See more in the <a href="https://2016.igem.org/Team:NCTU_Formosa/Demonstrate" style="color:#44E287;">Device</a>) </p> | ||
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<img src="https://static.igem.org/mediawiki/2016/e/e1/Hv1a.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | <img src="https://static.igem.org/mediawiki/2016/e/e1/Hv1a.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | ||
− | <p class="content-image" style="text-align:center;">Figure | + | <p class="content-image" style="text-align:center;">Figure 1. The animation shows the 3D structure of Hv1a,<br> created by a software called Cn3D with the peptide information from NCBI. </p> |
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<img src="https://static.igem.org/mediawiki/2016/8/8b/Sf1a.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | <img src="https://static.igem.org/mediawiki/2016/8/8b/Sf1a.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | ||
− | <P class="content-image" style="text-align:center;">Figure | + | <P class="content-image" style="text-align:center;">Figure 2. The animation shows the 3D structure of Sf1a,<br> created by a software called Cn3D with the peptide information from NCBI. </p> |
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<img src="https://static.igem.org/mediawiki/2016/1/18/OAIP.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | <img src="https://static.igem.org/mediawiki/2016/1/18/OAIP.gif" class="picture" style="width:60% !important; padding-left:5vw;"> | ||
− | <p class="content-image" style="text-align:center;">Figure | + | <p class="content-image" style="text-align:center;">Figure 3. The animation shows the 3D structure of OAIP,<br> created by a software called Cn3D with the peptide information from NCBI. </p> |
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<img src="https://static.igem.org/mediawiki/2016/d/de/NCTU_ICK.png" class="picture" style="width:40%;padding-left:10vw !important;"> | <img src="https://static.igem.org/mediawiki/2016/d/de/NCTU_ICK.png" class="picture" style="width:40%;padding-left:10vw !important;"> | ||
− | <p class="content-image">Figure | + | <p class="content-image">Figure 4.</p> |
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<p class="content">In comparison with another biological pesticide, Bacillus thuringiensis, Pantide comprises three different peptides, Hv1a, OAIP, and Sf1a that target calcium and sodium ion channels respectively. By using these three peptides alternately, the pest is hard to have resistance. Furthermore, ion channel has a low frequency of evolution. These features ensure Pantide can fight against pest for a long time without resistance. </p> | <p class="content">In comparison with another biological pesticide, Bacillus thuringiensis, Pantide comprises three different peptides, Hv1a, OAIP, and Sf1a that target calcium and sodium ion channels respectively. By using these three peptides alternately, the pest is hard to have resistance. Furthermore, ion channel has a low frequency of evolution. These features ensure Pantide can fight against pest for a long time without resistance. </p> | ||
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+ | <div> | ||
+ | <p class="content-1">Reference</p> | ||
+ | |||
+ | <ul style="list-style-type:decimal !important;list-style-image:none;"> | ||
+ | <li class="reference-content">Monique J. Windley, Volker Herzig, Slawomir A. Dziemborowicz, Margaret C. Hardy, Glenn F. King and Graham M. Nicholson, “Spider-Venom Peptide as Bioinsecticide,” Toxins Review, 2012, 4, pp. 191-227.</li> | ||
+ | |||
+ | <li class="reference-content">Wang, X.H.; Connor, M.; Wilson, D.C.; Wilson, H.I.; Nicholson, G.M.; Smith, R.; Shaw, D.; Mackay, J.P.; Alewood, P.F.; Christie, M.J.; King, G.F. “Discovery and structure of a potent and highly specific blocker of insect calcium channels,” J. Biol. Chem. 2001, 276, 40306–40312</li> | ||
+ | |||
+ | <li class="reference-content">Elaine Fitches, Martin G. Edwards, Christopher Mee, Eugene Grishin, Angharad M. R. Gatehouse, John P. Edwards, John A. Gatehouse “Fusion proteins containing insect-specific toxins as pest control agents: snowdrop lectin delivers fused insecticidal spider venom toxin to insect haemolymph following oral ingestion,” Journal of Insect Physiology, 2004,50, pp.61-71</li> | ||
+ | <li class="reference-content">Jennifer J.Smith, Volker Herzig, Glenn F. King, Paul F. Alewood “The insecticidal potential of venom peptide,” Cellular and Molecular Life Sciences, 2013, 70, pp.3665-3693</li> | ||
+ | <li class="reference-content">Elaine Fitches, Martin G. Edwards, Christopher Mee, Eugene Grishin, Angharad M. R. Gatehouse, John P. Edwards, John A. Gatehouse “Fusion proteins containing insect-specific toxins as pest control agents: snowdrop lectin delivers fused insecticidal spider venom toxin to insect haemolymph following oral ingestion,” Journal of Insect Physiology, 2004, 50, pp.61-71</li> | ||
+ | <li class="reference-content">Volker Herzig and Glenn F. King “The Cysteine Knot Is Responsible for the Exceptional Stability of the Insecticidal Spider Toxin Omega-Hexatoxin Hv1a,” Toxin Review, 20157. pp. 4366-4380</li> | ||
+ | <li class="reference-content">Elaine C. Fitches, Prashant Pyati, Glenn F. King, John A. Gatehouse, “ Fusion to Snowdrop Lectin Magnifies the Oral Activity of Insecticidal Omega-Hexatoxin-Hv1a Peptide by Enabling Its Delivery to the Central Nervous System,”</li> | ||
+ | <li class="reference-content">Pusztai, A.; and Bardocz, S. “Biological Effects of Plant Lectin on the Gastrointestinal Tract: Metabolic Consequences and Applications,” Trends Glycosci.Glycotechnol.,2009, Vol. 8, pp. 149-165</li> | ||
+ | </ul> | ||
+ | </div> | ||
</section> | </section> | ||
Revision as of 21:55, 19 October 2016