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<p class="title">Applied Design—A Farming System<p> | <p class="title">Applied Design—A Farming System<p> | ||
<div> | <div> | ||
− | <img src="https://static.igem.org/mediawiki/2016/ | + | <img src="https://static.igem.org/mediawiki/2016/4/4d/NCTU_IoTsys_design.png" class="picture"> |
− | + | ||
</div> | </div> | ||
<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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</div> | </div> | ||
+ | <div style="width:1px;height:60px;"id="pantide"> | ||
+ | </div> | ||
− | <div> | + | <div > |
<p class="title">What is “Pantide”?<p> | <p class="title">What is “Pantide”?<p> | ||
<p class="content">Pantide, a portmanteau word, conveys two concept-Pan and peptide-in a single blended neologism. In ancient Greek mythology, Pan is a god of shepherds and nature, whereas peptide indicates the essential substance of Pantide, amino acids. Pantide derives its toxicity from the spider venom. The inspiration for Pantide originates from the food chain. Predation is a scene ubiquitously observed in nature. Through evolution, animals have evolved diverse ways of predatory strategy. In this light, we hope to avail the natural evolutionary phenomenon into our project. Spiders are one of the most successful terrestrial venomous creatures on earth. In 300 million years of evolution, spiders have evolved arrays of complex venomous toxins. <sup>[1]</sup> Therefore, we found its potential for integrating spider toxins as a new source of bioinsecticide.</p> | <p class="content">Pantide, a portmanteau word, conveys two concept-Pan and peptide-in a single blended neologism. In ancient Greek mythology, Pan is a god of shepherds and nature, whereas peptide indicates the essential substance of Pantide, amino acids. Pantide derives its toxicity from the spider venom. The inspiration for Pantide originates from the food chain. Predation is a scene ubiquitously observed in nature. Through evolution, animals have evolved diverse ways of predatory strategy. In this light, we hope to avail the natural evolutionary phenomenon into our project. Spiders are one of the most successful terrestrial venomous creatures on earth. In 300 million years of evolution, spiders have evolved arrays of complex venomous toxins. <sup>[1]</sup> Therefore, we found its potential for integrating spider toxins as a new source of bioinsecticide.</p> | ||
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<p class="content">On account of the vast multicomponent mixture in spider toxins, the selection of spider toxin required evaluation in an organized methodology. In this case, first, we searched two online databases-AnachnoServer and UniProt (Universal Protein Resource)-for toxic candidates. AnachnoServer is an online database that contains nearly 800 peptide toxin information from 78 spider species<sup>[1]</sup>, and UniProt is a library of protein information. We selected the toxin peptides from the databases with the following several criteria.</p> | <p class="content">On account of the vast multicomponent mixture in spider toxins, the selection of spider toxin required evaluation in an organized methodology. In this case, first, we searched two online databases-AnachnoServer and UniProt (Universal Protein Resource)-for toxic candidates. AnachnoServer is an online database that contains nearly 800 peptide toxin information from 78 spider species<sup>[1]</sup>, and UniProt is a library of protein information. We selected the toxin peptides from the databases with the following several criteria.</p> | ||
− | <ul style="list-style-image:none;list-style-type:disc; | + | <ul style="list-style-image:none;list-style-type:disc;margin-left:10px !important"> |
<li class="list">The toxin should have multiple references which back up the origin, structure, and mechanism.</li> | <li class="list">The toxin should have multiple references which back up the origin, structure, and mechanism.</li> | ||
<li class="list">The toxin should not be toxic to mammals with the authentication of mice experiment.</li> | <li class="list">The toxin should not be toxic to mammals with the authentication of mice experiment.</li> | ||
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<div> | <div> | ||
<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> |
</div> | </div> | ||
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<div> | <div> | ||
<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> |
</div> | </div> | ||
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<div> | <div> | ||
<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> |
</div> | </div> | ||
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<div> | <div> | ||
<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. ICK structure.</p> |
</div> | </div> | ||
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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> | ||
− | + | ||
</div> | </div> | ||
+ | |||
+ | <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> | ||
Latest revision as of 23:47, 19 October 2016