Difference between revisions of "Team:NCTU Formosa/Human Practices/Integrated"

 
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   <div class="gold1">
 
   <div class="gold1">
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     <div class="block title_1"><p>Agricultural Improvement Station</p></div>
 
     <div class="block title_1"><p>Agricultural Improvement Station</p></div>
 +
    <img src="https://static.igem.org/mediawiki/2018/8/8c/T--NCTU_Formosa--HP_Integrated_quote1.png" class="quote1">
 
     <div class="title_2">
 
     <div class="title_2">
 
       <p>
 
       <p>
−
         "The most important factors in assessing soil fertility are levels of nitrogen, phosphates and potassium, measured by electrical conductivity, as well as total soil organic carbon. In Taiwan, phosphate levels are often too high, so a method of regulation could be very helpful."
+
         The most important factors in assessing soil fertility are levels of nitrogen, phosphates and potassium, measured by electrical conductivity, as well as total soil organic carbon. In Taiwan, phosphate levels are often too high, so a method of regulation could be very helpful.
 
       </p>
 
       </p>
 
     </div>
 
     </div>
 +
    <img src="https://static.igem.org/mediawiki/2018/0/05/T--NCTU_Formosa--HP_Integrated_quote2.png" class="quote2">
 
     <img class="photo_1" src="https://static.igem.org/mediawiki/2018/0/0d/T--NCTU_Formosa--taoyuan1.jpg">
 
     <img class="photo_1" src="https://static.igem.org/mediawiki/2018/0/0d/T--NCTU_Formosa--taoyuan1.jpg">
 
     <div class="explanation">
 
     <div class="explanation">
 
       <svg class="icon" aria-hidden="true" data-prefix="fas" data-icon="arrow-circle-up" class="svg-inline--fa fa-arrow-circle-up fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M8 256C8 119 119 8 256 8s248 111 248 248-111 248-248 248S8 393 8 256zm143.6 28.9l72.4-75.5V392c0 13.3 10.7 24 24 24h16c13.3 0 24-10.7 24-24V209.4l72.4 75.5c9.3 9.7 24.8 9.9 34.3.4l10.9-11c9.4-9.4 9.4-24.6 0-33.9L273 107.7c-9.4-9.4-24.6-9.4-33.9 0L106.3 240.4c-9.4 9.4-9.4 24.6 0 33.9l10.9 11c9.6 9.5 25.1 9.3 34.4-.4z"></path></svg>
 
       <svg class="icon" aria-hidden="true" data-prefix="fas" data-icon="arrow-circle-up" class="svg-inline--fa fa-arrow-circle-up fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M8 256C8 119 119 8 256 8s248 111 248 248-111 248-248 248S8 393 8 256zm143.6 28.9l72.4-75.5V392c0 13.3 10.7 24 24 24h16c13.3 0 24-10.7 24-24V209.4l72.4 75.5c9.3 9.7 24.8 9.9 34.3.4l10.9-11c9.4-9.4 9.4-24.6 0-33.9L273 107.7c-9.4-9.4-24.6-9.4-33.9 0L106.3 240.4c-9.4 9.4-9.4 24.6 0 33.9l10.9 11c9.6 9.5 25.1 9.3 34.4-.4z"></path></svg>
−
       Figure 1: The box plot of richness triplicate analysis
+
       Figure 1: We visited Agricultural Improvement Station in Taoyuan.
 
     </div>
 
     </div>
 
     <div class="block content_1">
 
     <div class="block content_1">
 
       <p>
 
       <p>
−
         To understand the nature of soil better, we visited the Agricultural Improvement Center in Taoyuan. There, we learned that excessive phosphate levels due to over-fertilization is an increasingly common problem in Taiwanese soil, and that no regulation methods currently exist. To address this situation, we made sure that our biostimulators included agents that could curb the effects of any extra fertilizer present in soil. Additionally, the center suggested we pay attention to the most important indicators of soil fertility, such as nutrient levels, if we wanted to ensure health of both the microbiome as well as the crop. We made sure to integrate these tips into our project by generating a model that predicts changes in bacterial ratios based on changes in N, P and K levels, and vice versa. We also designed a device that uses electrical conductivity as an indicator to project current N, P and K amounts in soil.
+
         &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;To understand the nature of soil better, we visited the Agricultural Improvement Center in Taoyuan. There, we learned that excessive phosphate levels due to over-fertilization is an increasingly common problem in Taiwanese soil, and that no regulation methods currently exist. To address this situation, we made sure that our biostimulators included agents that could curb the effects of any extra fertilizer present in soil. Additionally, the center suggested we pay attention to the most important indicators of soil fertility, such as nutrient levels, if we wanted to ensure health of both the microbiome as well as the crop. We made sure to integrate these tips into our project by generating a model that predicts changes in bacterial ratios based on changes in N, P, and K levels, and vice versa. We also designed a device that uses electrical conductivity as an indicator to project current N, P, and K amounts in soil.
 
       </p>
 
       </p>
 
     </div>
 
     </div>
 
   </div>
 
   </div>
 
   <div class="gold2">
 
   <div class="gold2">
−
    <div class="block sidebar_1">
+
 
−
       <div class="block title_1"><p>Chung Hsing University, Professor Young</p></div>
+
      <div class="block title_1"><p>NCHU, Professor Young</p></div>
−
       <div class="block photo_1">
+
      <img src="https://static.igem.org/mediawiki/2018/8/8c/T--NCTU_Formosa--HP_Integrated_quote1.png" class="quote1">
−
         <img src="">
+
       <div class="block title_2">
 +
        <p>
 +
          <i>Bacillus subtilis</i> is one of the most widely used phosphate-solubilizing biofertilizers in the world and is dominant among the phosphate-solubilizing bacteria in soil. Currently we are only able to add this biofertilizer, not inhibit it. A means of regulating <i>Bacillus subtilis</i> levels would help greatly in preventing excessive levels of phosphate in soil.
 +
        </p>
 +
      </div>
 +
       <img src="https://static.igem.org/mediawiki/2018/0/05/T--NCTU_Formosa--HP_Integrated_quote2.png" class="quote2">
 +
      <img src="https://static.igem.org/mediawiki/2018/e/e6/T--NCTU_Formosa--NCHUprof1.jpg" class="photo_1">
 +
      <div class="explanation">
 +
         <svg class="icon" aria-hidden="true" data-prefix="fas" data-icon="arrow-circle-up" class="svg-inline--fa fa-arrow-circle-up fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M8 256C8 119 119 8 256 8s248 111 248 248-111 248-248 248S8 393 8 256zm143.6 28.9l72.4-75.5V392c0 13.3 10.7 24 24 24h16c13.3 0 24-10.7 24-24V209.4l72.4 75.5c9.3 9.7 24.8 9.9 34.3.4l10.9-11c9.4-9.4 9.4-24.6 0-33.9L273 107.7c-9.4-9.4-24.6-9.4-33.9 0L106.3 240.4c-9.4 9.4-9.4 24.6 0 33.9l10.9 11c9.6 9.5 25.1 9.3 34.4-.4z"></path></svg>
 +
        Figure 2: We visited Professor Young of National Chung Hsing University.
 
       </div>
 
       </div>
−
      <div class="block title_2">“<i>Bacillus subtilis</i> is one of the most widely used phosphate-solubilizing biofertilizers in the world and is dominant among the phosphate-solubilizing bacteria in soil. Currently we are only able to add this biofertilizer, not inhibit it. A means of regulating <i>subtilis</i> levels would help greatly in preventing excessive levels of phosphate in soil.”</div>
 
 
       <div class="block content_1">
 
       <div class="block content_1">
−
         <p>Our search for a phosphate regulatory agent led us to Professor Young of National Chung Hsing University. Young, renowned for his research in soil microbes, advised us to target the commonly-used Bacillus subtilis to control soil phosphate levels. Using an improved version of the peptide prediction model created by NCTU_Formosa 2017, we predicted numerous proteins with subtilis-inhibiting abilities, eventually finding peptides classified as bacteriocins, which we used as our biobricks. We then performed experiments using these bacteriocins to develop a model that describes the relationship between peptide volume and subtilis inhibition, which can be used to precisely regulate subtilis levels in soil should they become too dominant.
+
         <p>
 +
          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Our search for a phosphate regulatory agent led us to Professor Young of National Chung Hsing University. Young, renowned for his research in soil microbes, advised us to target the commonly-used <i>Bacillus subtilis</i> to control soil phosphate levels. Using an improved version of the peptide prediction model created by NCTU_Formosa 2017, we predicted numerous proteins with subtilis-inhibiting abilities, eventually finding peptides classified as bacteriocins, which we used as our biobricks. We then performed experiments using these bacteriocins to develop a model that describes the relationship between peptide volume and <i>Bacillus subtilis</i> inhibition, which can be used to precisely regulate <i>subtilis</i> levels in soil should they become too dominant.
 
         </p>
 
         </p>
 
       </div>
 
       </div>
 
     </div>
 
     </div>
−
  </div>
 
 
   <div class="gold3">
 
   <div class="gold3">
−
    <div class="block sidebar_1">
+
 
 
       <div class="block title_1"><p>Asia Agri-Tech Expo</p></div>
 
       <div class="block title_1"><p>Asia Agri-Tech Expo</p></div>
−
       <div class="block photo_1">
+
       <img src="https://static.igem.org/mediawiki/2018/8/8c/T--NCTU_Formosa--HP_Integrated_quote1.png" class="quote1">
−
        <img src="">
+
      <div class="block title_2">
 +
        <p>Nobody has thought about improving crop productivity or soil health by directly targeting the microbiota. Most solutions focus on adding soil supplements without any mode of regulation. This concept presents a fresh take on an old problem and could really benefit the industry.
 +
        </p>
 
       </div>
 
       </div>
−
       <div class="block title_2">“Nobody has thought about improving crop productivity or soil health by directly targeting the microbiota. Most solutions focus on adding soil supplements without any mode of regulation. This concept presents a fresh take on an old problem and could really benefit the industry.”
+
      <img src="https://static.igem.org/mediawiki/2018/0/05/T--NCTU_Formosa--HP_Integrated_quote2.png" class="quote2">
 +
      <img src="https://static.igem.org/mediawiki/2018/1/1d/T--NCTU_Formosa--agritech8.jpg" class="photo_1">
 +
       <div class="explanation">
 +
        <svg class="icon" aria-hidden="true" data-prefix="fas" data-icon="arrow-circle-up" class="svg-inline--fa fa-arrow-circle-up fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M8 256C8 119 119 8 256 8s248 111 248 248-111 248-248 248S8 393 8 256zm143.6 28.9l72.4-75.5V392c0 13.3 10.7 24 24 24h16c13.3 0 24-10.7 24-24V209.4l72.4 75.5c9.3 9.7 24.8 9.9 34.3.4l10.9-11c9.4-9.4 9.4-24.6 0-33.9L273 107.7c-9.4-9.4-24.6-9.4-33.9 0L106.3 240.4c-9.4 9.4-9.4 24.6 0 33.9l10.9 11c9.6 9.5 25.1 9.3 34.4-.4z"></path></svg>
 +
        Figure 3: We attended the 2018 Asia Agritech Expo.
 
       </div>
 
       </div>
 
       <div class="block content_1">
 
       <div class="block content_1">
 
         <p>
 
         <p>
−
           As our project matured we travelled to Taipei, where we attended the 2018 Asia Agritech Expo to confirm the usefulness of our concept. There we met with over one-hundred agricultural businesses from all over Asia. Many representatives were excited by the idea of regulating soil microbiotas, as well as the versatility of biostimulators that our model could support. One common suggestion for our project was to add a way of actually measuring soil health. After investigating commonly used ecosystem health indicators, we decided to use evenness, measured by calculating the Shannon Index, to quantify soil integrity. The addition of this value allows users of our system to compare soil health before and after biostimulator use and helps determine the most environmentally friendly method of increasing crop yield.
+
           &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;As our project matured we travelled to Taipei, where we attended the 2018 Asia Agritech Expo to confirm the usefulness of our concept. There we met with over one-hundred agricultural businesses from all over Asia. Many representatives were excited by the idea of regulating soil microbiotas, as well as the versatility of biostimulators that our model could support. One common suggestion for our project was to add a way of actually measuring soil health. After investigating commonly used ecosystem health indicators, we decided to use evenness, measured by calculating the Shannon index, to quantify soil integrity. The addition of this value allows users of our system to compare soil health before and after biostimulator use and helps determine the most environmentally friendly method of increasing crop yield.
 
         </p>
 
         </p>
 
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Latest revision as of 03:50, 18 October 2018

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Agricultural Improvement Station

The most important factors in assessing soil fertility are levels of nitrogen, phosphates and potassium, measured by electrical conductivity, as well as total soil organic carbon. In Taiwan, phosphate levels are often too high, so a method of regulation could be very helpful.

Figure 1: We visited Agricultural Improvement Station in Taoyuan.

     To understand the nature of soil better, we visited the Agricultural Improvement Center in Taoyuan. There, we learned that excessive phosphate levels due to over-fertilization is an increasingly common problem in Taiwanese soil, and that no regulation methods currently exist. To address this situation, we made sure that our biostimulators included agents that could curb the effects of any extra fertilizer present in soil. Additionally, the center suggested we pay attention to the most important indicators of soil fertility, such as nutrient levels, if we wanted to ensure health of both the microbiome as well as the crop. We made sure to integrate these tips into our project by generating a model that predicts changes in bacterial ratios based on changes in N, P, and K levels, and vice versa. We also designed a device that uses electrical conductivity as an indicator to project current N, P, and K amounts in soil.

NCHU, Professor Young

Bacillus subtilis is one of the most widely used phosphate-solubilizing biofertilizers in the world and is dominant among the phosphate-solubilizing bacteria in soil. Currently we are only able to add this biofertilizer, not inhibit it. A means of regulating Bacillus subtilis levels would help greatly in preventing excessive levels of phosphate in soil.

Figure 2: We visited Professor Young of National Chung Hsing University.

     Our search for a phosphate regulatory agent led us to Professor Young of National Chung Hsing University. Young, renowned for his research in soil microbes, advised us to target the commonly-used Bacillus subtilis to control soil phosphate levels. Using an improved version of the peptide prediction model created by NCTU_Formosa 2017, we predicted numerous proteins with subtilis-inhibiting abilities, eventually finding peptides classified as bacteriocins, which we used as our biobricks. We then performed experiments using these bacteriocins to develop a model that describes the relationship between peptide volume and Bacillus subtilis inhibition, which can be used to precisely regulate subtilis levels in soil should they become too dominant.

Asia Agri-Tech Expo

Nobody has thought about improving crop productivity or soil health by directly targeting the microbiota. Most solutions focus on adding soil supplements without any mode of regulation. This concept presents a fresh take on an old problem and could really benefit the industry.

Figure 3: We attended the 2018 Asia Agritech Expo.

     As our project matured we travelled to Taipei, where we attended the 2018 Asia Agritech Expo to confirm the usefulness of our concept. There we met with over one-hundred agricultural businesses from all over Asia. Many representatives were excited by the idea of regulating soil microbiotas, as well as the versatility of biostimulators that our model could support. One common suggestion for our project was to add a way of actually measuring soil health. After investigating commonly used ecosystem health indicators, we decided to use evenness, measured by calculating the Shannon index, to quantify soil integrity. The addition of this value allows users of our system to compare soil health before and after biostimulator use and helps determine the most environmentally friendly method of increasing crop yield.

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