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

 
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}
 
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/* ====================================================================================================================
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* RESPONSIVE
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   <div class="cover"><img class="picture" src="https://static.igem.org/mediawiki/2018/d/d4/T--NCTU_Formosa--HP_inside_cover.png"/>
 
   <div class="cover"><img class="picture" src="https://static.igem.org/mediawiki/2018/d/d4/T--NCTU_Formosa--HP_inside_cover.png"/>
 
       <div class="dot1"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Public_Engagement"><img class="first1" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
 
       <div class="dot1"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Public_Engagement"><img class="first1" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
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       <div class="dot2"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practice/Integrated"><img class="first2" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
+
       <div class="dot2"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practices/Integrated"><img class="first2" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
 
       <div class="dot4"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Collaborations"><img class="first4" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
 
       <div class="dot4"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--NCTU_Formosa--HP_inside_cover_dot2.png"/><a href="https://2018.igem.org/Team:NCTU_Formosa/Collaborations"><img class="first4" src="https://static.igem.org/mediawiki/2018/0/03/T--NCTU_Formosa--HP_inside_cover_dot.png"/></a></div>
 
   </div>
 
   </div>
 +
  <img src="https://static.igem.org/mediawiki/2018/c/c1/T--NCTU_Formosa--HP_Integrated_titile.png" class="int">
 
   <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>
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     <div class="block photo_1">
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     <img src="https://static.igem.org/mediawiki/2018/8/8c/T--NCTU_Formosa--HP_Integrated_quote1.png" class="quote1">
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      <div class="flexslider">
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    <div class="title_2">
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        <ul class="slides">
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      <p>
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          <li><img src="http://thumbsnap.com/i/vY5tCm0U.jpg?0717"/></li>
+
        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.
−
          <li><img src="http://thumbsnap.com/i/yqS8LD0o.jpg?0717"/></li>
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      </p>
−
          <li><img src="http://thumbsnap.com/i/n0CLkUhq.jpg?0717"/></li>
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    </div>
−
          <li><img src="http://thumbsnap.com/i/yqS8LD0o.jpg?0717"/></li>
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    <img src="https://static.igem.org/mediawiki/2018/0/05/T--NCTU_Formosa--HP_Integrated_quote2.png" class="quote2">
−
        </ul>
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    <img class="photo_1" src="https://static.igem.org/mediawiki/2018/0/0d/T--NCTU_Formosa--taoyuan1.jpg">
−
       </div>
+
    <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 1: We visited Agricultural Improvement Station in Taoyuan.
 
     </div>
 
     </div>
 
     <div class="block content_1">
 
     <div class="block content_1">
 
       <p>
 
       <p>
−
         After we decided to work on phosphate solubilizing bacteria for our project, we had to learn all the details of how they work and how they affect plants. To do this, we visited the Agriculture Improvement Station in Taoyuan to ask experts. There, we found the ideal nitrogen, phosphorus and potassium levels for many different plants. Additionally, we found a universal phosphorus range that could sustain most of the plants grown in the world today. We use our model to predict how much B. subtilis to inhibit to fall into this range.
+
         &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">
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    <div class="block sidebar_1">
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−
       <div class="block title_1"><p>Chung Hsing University, Professor Young</p></div>
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       <div class="block title_1"><p>NCHU, Professor Young</p></div>
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       <div class="block photo_1">
+
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          <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.
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         Figure 2: We visited Professor Young of National Chung Hsing University.
 
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         <p>During the school year we had an opportunity to visit Professor Young at Chung Hsing University. Professor Young is an expert on soil microbiota, and he gave us a lot of helpful advice. First, he confirmed that B. subtilis is a dominant phosphate solubilizing bacterium and is thus a good target of inhibition. More importantly, Professor Young pointed out the effects of protein degradation. This allowed us to design experiments to better model the effects of our bacteriocin in soil.
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          &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.
 
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       <div class="block title_1"><p>Asia Agri-Tech Expo</p></div>
 
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        <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.
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         Figure 3: We attended the 2018 Asia Agritech Expo.
 
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           As part of our investigation on the usefulness of our project, our team attended the 72nd annual Asia AgriTech Expo held in Taipei. The event allows the top businesses of the agriculture industry in Southeast Asia to meet and discuss new ideas. Of the 80+ businesses we were able to interview many expressed interest in using bacteria, specifically phosphate solubilizing bacteria, to regulate soil factors. However, not much was mentioned on how to regulate these bacteria, or how to predict their exact effects on soil. We could see that as the industry leans closer and closer to microbial solutions, our system would be more relevant than ever.
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           &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.
 
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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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