Team:HUST-Innovators
From 2014.igem.org
Line 52: | Line 52: | ||
/* background: transparent; */ | /* background: transparent; */ | ||
border: 0; | border: 0; | ||
- | font-size: 100%; | + | /* font-size: 100%; */ |
/* margin: 0; */ | /* margin: 0; */ | ||
outline: 0; | outline: 0; | ||
Line 110: | Line 110: | ||
width: 850px; | width: 850px; | ||
height: 60px; | height: 60px; | ||
- | margin: 0 auto; | + | /* margin: 0 auto; */ |
/* position: relative; */ | /* position: relative; */ | ||
top: 150px; | top: 150px; | ||
+ | |||
} | } | ||
#nav a, a:visited { | #nav a, a:visited { | ||
Line 432: | Line 433: | ||
<td> | <td> | ||
<h3>Overture(IGS and Bioinformatics)</h3> | <h3>Overture(IGS and Bioinformatics)</h3> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/2/2d/BackgroundSB-1.jpg" > |
<p> | <p> | ||
In 1977 Sanger and colleagues introduced the "dideoxy" chain-termination method for sequencing DNA molecules, also known as the "Sanger method".This was a major breakthrough and allowed long stretches of DNA to be rapidly and accurately sequenced. It earned him his second Nobel prize in Chemistry in 1980, which he shared with Walter Gilbert and Paul Berg.The new method was used by Sanger and colleagues to sequence human mitochondrial DNA (16,569 base pairs) and bacteriophage λ (48,502 base pairs).The dideoxy method was eventually used to sequence the entire human genome. | In 1977 Sanger and colleagues introduced the "dideoxy" chain-termination method for sequencing DNA molecules, also known as the "Sanger method".This was a major breakthrough and allowed long stretches of DNA to be rapidly and accurately sequenced. It earned him his second Nobel prize in Chemistry in 1980, which he shared with Walter Gilbert and Paul Berg.The new method was used by Sanger and colleagues to sequence human mitochondrial DNA (16,569 base pairs) and bacteriophage λ (48,502 base pairs).The dideoxy method was eventually used to sequence the entire human genome. | ||
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/c/c0/BackgroundSB-2.png" > |
<p> | <p> | ||
As the accumulation of sequence data, databases formed, which announced the birth of the bioinformatics. | As the accumulation of sequence data, databases formed, which announced the birth of the bioinformatics. | ||
</p> | </p> | ||
- | < | + | <img src="https://static.igem.org/mediawiki/2014/f/f9/BackgroundSB-3.png" > |
- | <img src="https://static.igem.org/mediawiki/ | + | |
+ | |||
+ | <!--不确定的变动------------------------------------> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/2/20/BackgroundSB-4.png" > | ||
+ | <p> | ||
+ | In short, the bioinformatics is the harbinger of the Synthetic-Biology’s emergence. | ||
+ | </p> | ||
+ | |||
+ | |||
+ | |||
<h3>Sonata(NGS and Synthetic Biology)</h3> | <h3>Sonata(NGS and Synthetic Biology)</h3> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/7/76/BackgroundSB-5.png" > |
<p> | <p> | ||
In short, the First GS has some fatal drawbacks such as high cost and low throughput. This is why it was replaced by NGS, such as 454, Solexa, Hiseq, etc. The NGS has distinct effects on cost-reduction and time-saving with high accuracy. For instance, it took only one week to finish the human genome project by NGS, while the time using by First GS is 3 years. | In short, the First GS has some fatal drawbacks such as high cost and low throughput. This is why it was replaced by NGS, such as 454, Solexa, Hiseq, etc. The NGS has distinct effects on cost-reduction and time-saving with high accuracy. For instance, it took only one week to finish the human genome project by NGS, while the time using by First GS is 3 years. | ||
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/a/ac/BackgroundSB-6.png" > |
<p> | <p> | ||
As more and more species were sequenced, the size of genomic data is enlarged. As is known, the sequence of species is the major prerequisite of the SB. So the conclusion is drawn that the emergence of the NGS indicated the naissance of SB. | As more and more species were sequenced, the size of genomic data is enlarged. As is known, the sequence of species is the major prerequisite of the SB. So the conclusion is drawn that the emergence of the NGS indicated the naissance of SB. | ||
</p> | </p> | ||
+ | |||
+ | <h3>cadenza (III GS and ???)</h3> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/6/6a/BackgroundSB-7.png" > | ||
+ | <p style="font-weight:bolder;"> | ||
+ | That is why we start our project this year. | ||
+ | </p> | ||
+ | <h4>Docosahexaenoic Acid</h4> | ||
+ | <p> | ||
+ | Docosahexaenoic acid (DHA) is an omega-3 fatty acid that is a primary structural component of the human brain, cerebral cortex, skin, sperm, testicles and retina. It can be synthesized from alpha-linolenic acid or obtained directly from maternal milk or fish oil. DHA's structure is a carboxylic acid with a 22-carbon chain and six cis double bonds; with the first double bond located at the third carbon from the omega end. Its trivial name is cervonic acid, its systematic name is all-cis-docosa-4,7,10,13,16,19-hexa-enoic acid, and its shorthand name is 22:6(n-3) in the nomenclature of fatty acids. | ||
+ | </p> | ||
+ | <p> | ||
+ | Cold-water oceanic fish oils are rich in DHA. Most of the DHA in fish and multi-cellular organisms with access to cold-water oceanic foods originates from photosynthetic and heterotrophic microalgae, and becomes increasingly concentrated in organisms the further they are up the food chain. DHA is also commercially manufactured from microalgae: Crypthecodinium cohnii and another of the genus Schizochytrium. DHA manufactured using microalgae is vegetarian. | ||
+ | </p> | ||
+ | <h4> Thraustochytrids</h4> | ||
+ | <p> | ||
+ | Thraustochytrids is rich in oceanic environment. And they can produce large amount of DHA. However our strain T-roseum ATCC28210 was still not sequenced yet. It means our project was blocked if we used the traditional Synthetic Biology Methods. To achieve our goal, we need to do something before the Traditional Process. | ||
+ | </p> | ||
+ | |||
</td> | </td> | ||
Line 510: | Line 538: | ||
<td> | <td> | ||
- | |||
<p> | <p> | ||
- | Single molecule real time sequencing (also known as SMRT) is a parallelized single molecule DNA sequencing by synthesis technology developed by Pacific Biosciences. Single molecule real time sequencing utilizes the zero-mode waveguide (ZMW), developed in the laboratories of Harold G. Craighead and Watt W. Webb[1] at Cornell University. A single DNA polymerase enzyme is affixed at the bottom of a ZMW with a single molecule of DNA as a template. The ZMW is a structure that creates an illuminated observation volume that is small enough to observe only a single nucleotide of DNA (also known as a base) being incorporated by DNA polymerase. Each of the four DNA bases is attached to one of four different fluorescent dyes. When a nucleotide is incorporated by the DNA polymerase, the fluorescent tag is cleaved off and diffuses out of the observation area of the ZMW where its fluorescence is no longer observable. A detector detects the fluorescent signal of the nucleotide incorporation, and the base call is made according to the corresponding fluorescence of the dye. | + | <a style="font-weight:bolder;">Single molecule real time sequencing</a> (also known as SMRT) is a parallelized single molecule DNA sequencing by synthesis technology developed by Pacific Biosciences. Single molecule real time sequencing utilizes the zero-mode waveguide (ZMW), developed in the laboratories of Harold G. Craighead and Watt W. Webb[1] at Cornell University. A single DNA polymerase enzyme is affixed at the bottom of a ZMW with a single molecule of DNA as a template. The ZMW is a structure that creates an illuminated observation volume that is small enough to observe only a single nucleotide of DNA (also known as a base) being incorporated by DNA polymerase. Each of the four DNA bases is attached to one of four different fluorescent dyes. When a nucleotide is incorporated by the DNA polymerase, the fluorescent tag is cleaved off and diffuses out of the observation area of the ZMW where its fluorescence is no longer observable. A detector detects the fluorescent signal of the nucleotide incorporation, and the base call is made according to the corresponding fluorescence of the dye. |
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/0/02/BackgroundIII-1.jpg" > |
<p> | <p> | ||
The DNA sequencing is done on a chip that contains many ZMWs. Inside each ZMW, a single active DNA polymerase with a single molecule of single stranded DNA template is immobilized to the bottom through which light can penetrate and create a visualization chamber that allows monitoring of the activity of the DNA polymerase at a single molecule level. The signal from a phospho-linked nucleotide incorporated by the DNA polymerase is detected as the DNA synthesis proceeds which results in the DNA sequencing in real time. | The DNA sequencing is done on a chip that contains many ZMWs. Inside each ZMW, a single active DNA polymerase with a single molecule of single stranded DNA template is immobilized to the bottom through which light can penetrate and create a visualization chamber that allows monitoring of the activity of the DNA polymerase at a single molecule level. The signal from a phospho-linked nucleotide incorporated by the DNA polymerase is detected as the DNA synthesis proceeds which results in the DNA sequencing in real time. | ||
Line 523: | Line 550: | ||
</p> | </p> | ||
<h3>Zero-mode waveguide</h3> | <h3>Zero-mode waveguide</h3> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/6/6c/BackgroundIII-2.jpg" > |
<p> | <p> | ||
The zero-mode waveguide (ZMW) is a nanophotonic confinement structure that consists of a circular hole in an aluminum cladding film deposited on a clear silica substrate.[3] The ZMW holes are ~70 nm in diameter and ~100 nm in depth. Due to the behavior of light when it travels through a small aperture, the optical field decays exponentially inside the chamber.[4] The observation volume within an illuminated ZMW is ~20 zeptoliters (20 X 10−21 liters). Within this volume, the activity of DNA polymerase incorporating a single nucleotide can be readily detected. | The zero-mode waveguide (ZMW) is a nanophotonic confinement structure that consists of a circular hole in an aluminum cladding film deposited on a clear silica substrate.[3] The ZMW holes are ~70 nm in diameter and ~100 nm in depth. Due to the behavior of light when it travels through a small aperture, the optical field decays exponentially inside the chamber.[4] The observation volume within an illuminated ZMW is ~20 zeptoliters (20 X 10−21 liters). Within this volume, the activity of DNA polymerase incorporating a single nucleotide can be readily detected. | ||
Line 539: | Line 566: | ||
<!--tips --> | <!--tips --> | ||
- | <tr><td colspan="3"> <h2> Why | + | <tr><td colspan="3"> <h2> Why uses SMRT(The merits compared to the NGS) </h2></td></tr> |
<tr> | <tr> | ||
Line 545: | Line 572: | ||
<td> | <td> | ||
<h3>Relative Terminologies</h3> | <h3>Relative Terminologies</h3> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/1/18/BackgroundIII-3.png" > |
<h4>Contigs</h4> | <h4>Contigs</h4> | ||
<p> | <p> | ||
Line 566: | Line 593: | ||
<p> | <p> | ||
- | 1. | + | 1. <a style="font-weight:bold">Incredibly long read length</a>: the average read length is between 5,000 to 8,000 bases per read( the average length of NGS read ranges from 150 to 400 bp). The maximum read length can reach 20,000 bp. |
<br> | <br> | ||
For instance, the USDA had intended to sequence the microbes in goats. Compared to the least 18 contigs produced by the NGS, which means the project is uncompleted, the SMRT can get the ultimate contig—a successful sequencing. | For instance, the USDA had intended to sequence the microbes in goats. Compared to the least 18 contigs produced by the NGS, which means the project is uncompleted, the SMRT can get the ultimate contig—a successful sequencing. | ||
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/7/7c/BackgroundIII-4.png" > |
<p> | <p> | ||
- | 2.High | + | 2.<a style="font-weight:bold">High accuracy</a>:In short, the accuracy of sequencing can reach 99.999%. |
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/8/88/BackgroundIII-5.png" > |
<p> | <p> | ||
- | 3.GC | + | 3.<a style="font-weight:bold">GC Problem</a>:For the NGS, areas with high GC concentration mean low coverage. Only insufficient info can be dug out for assembly. This is why many gaps between DNA sequences emerge in the result. |
<br> | <br> | ||
In SMRT, the coverage do not fluctuate as the GC content varies. So the Problem can be avoided. | In SMRT, the coverage do not fluctuate as the GC content varies. So the Problem can be avoided. | ||
Line 598: | Line 625: | ||
<h3>Sequencing</h3> | <h3>Sequencing</h3> | ||
<p>First, we decided to sequence the unknown Thraustochytrium roseum. As we read the thesis on Velvet, SSpace, GRASS and so on, we finally made a determination to use the struture of the GRASS to do the scaffolding process after finishing getting contigs. As the data is sequenced from the 3rd Generation Sequencing Method, we had changed some lines of the code in order to fix the characteristics of the data. | <p>First, we decided to sequence the unknown Thraustochytrium roseum. As we read the thesis on Velvet, SSpace, GRASS and so on, we finally made a determination to use the struture of the GRASS to do the scaffolding process after finishing getting contigs. As the data is sequenced from the 3rd Generation Sequencing Method, we had changed some lines of the code in order to fix the characteristics of the data. | ||
- | <br>GRASS has some progresses: Sort, Bundle, Extract, RemoveAmbiguous, Erode IsolateContigsThink. Those are not needed while we are using the SMRT sequencing data. So we deleted code about them. | + | <br/>GRASS has some progresses: Sort, Bundle, Extract, RemoveAmbiguous, Erode IsolateContigsThink. Those are not needed while we are using the SMRT sequencing data. So we deleted code about them. |
- | <br>Think about the NGS Assembly, nearly all the softwares use pair-end reads to link the contigs through the scaffolding process. Knowing that the reads from the Pacbio machines are extremely,after self-overlapping, we let the Pacbio sequence replace the contigs in GRASS to do the scaffolding. | + | <br/>Think about the NGS Assembly, nearly all the softwares use pair-end reads to link the contigs through the scaffolding process. Knowing that the reads from the Pacbio machines are extremely,after self-overlapping, we let the Pacbio sequence replace the contigs in GRASS to do the scaffolding. |
- | <br>Here is a part of result: | + | <br/>Here is a part of result: |
</p> | </p> | ||
- | <img src="https://static.igem.org/mediawiki/ | + | <img src="https://static.igem.org/mediawiki/2014/e/e9/Project-1.jpg" > |
<p> | <p> | ||
Then, with the help of Nextomics, we finished the annotation and found that the scaffold shown above is the required one. | Then, with the help of Nextomics, we finished the annotation and found that the scaffold shown above is the required one. | ||
</p> | </p> | ||
- | <br> | + | |
+ | <h3>DHA engineering yeast</h3> | ||
+ | <h4>Abstract</h4> | ||
+ | <h5>Unsaturated fatty acids</h5> | ||
+ | <p>Unsaturated fatty acids have one or more double bonds between carbon atoms. (Pairs of carbon atoms connected by double bonds can be saturated by adding hydrogen atoms to them, converting the double bonds to single bonds. Therefore, the double bonds are called unsaturated.) | ||
+ | <br/>The two carbon atoms in the chain that are bound next to either side of the double bond can occur in a cis or trans configuration. | ||
+ | </p> | ||
+ | <h5>Traditional origin</h5> | ||
+ | <a style="font-weight:bold;">A.Deep sea fish oil</a> | ||
+ | <br/> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/d/de/Project-2.jpg" > | ||
+ | <p> | ||
+ | This is the major source of PUFAs. The disadvantages include complex purification processes and limited resources. | ||
+ | </p> | ||
+ | <a style="font-weight:bold;">B.Marine microalgae</a> | ||
+ | <br/> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/4/4d/Project-3.jpg" > | ||
+ | <p> | ||
+ | This is the original source of the PUFAs. The disadvantages are low productivity and unstability output. | ||
+ | </p> | ||
+ | <h5>The synthesis path of PUFAs</h5> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/c/c9/Project-4.png" > | ||
+ | <p> | ||
+ | In our project, we use EPA and ARA as substrates to produce DHA and DPA. | ||
+ | </p> | ||
+ | |||
+ | <h4>Technical route</h4> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/2/24/Project-5.png" > | ||
+ | <p> | ||
+ | Thraustochytrids and Isochrysis galbana as materials is used for producing DHA and DPA in yeast in order to provide research materials and scientific data. | ||
+ | <br/> | ||
+ | Results | ||
+ | </p> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/1/18/Project-6.png" > | ||
+ | <img src="https://static.igem.org/mediawiki/2014/a/ae/Project-7.png" > | ||
+ | <img src="https://static.igem.org/mediawiki/2014/e/e3/Project-8.png" > | ||
+ | |||
</td> | </td> | ||
</tr> | </tr> | ||
Line 703: | Line 766: | ||
<!--tips --> | <!--tips --> | ||
- | <tr><td colspan="3"> <h2> | + | <tr><td colspan="3"> <h2> Software </h2></td></tr> |
<tr> | <tr> | ||
- | <td | + | <td> |
- | <p> | + | <p> |
- | <br> | + | The software is decided for those who is not familiar to the Bioinformatics and Computer Science. What guests need to do is to print the location of the required files. Then a final sequencing result will emerge. The software works on Unix system only. |
+ | <br/>Downloading: <a href="#">click here</a> | ||
+ | <br/>PS: Perl and Comprehensive Perl Archive Network are needed. | ||
+ | </p> | ||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
</td> | </td> | ||
</tr> | </tr> | ||
Line 746: | Line 786: | ||
<!--tips --> | <!--tips --> | ||
- | <tr><td colspan=" | + | <tr><td colspan="5"> <h2> Part Submitted </h2></td></tr> |
- | <tr> | + | |
+ | <!--<tr align="center" border="0" cellspacing="1" cellpadding="0" bgcolor="#aaa"> | ||
<td>Tube</td> | <td>Tube</td> | ||
<td>Part</td> | <td>Part</td> | ||
Line 754: | Line 795: | ||
<td>Notes</td> | <td>Notes</td> | ||
</tr> | </tr> | ||
- | <tr> | + | <tr align="center" border="0" cellspacing="1" cellpadding="0" bgcolor="#fff"> |
<td>1</td> | <td>1</td> | ||
<td>BBa_K1551000</td> | <td>BBa_K1551000</td> | ||
Line 760: | Line 801: | ||
<td>Accepted</td> | <td>Accepted</td> | ||
<td>User sequenced</td> | <td>User sequenced</td> | ||
- | </tr> | + | </tr>--> |
+ | <tr><td><img src="https://static.igem.org/mediawiki/2014/7/7e/Achievement-partsub.jpg" ></td></tr> | ||
</tbody> | </tbody> | ||
Line 812: | Line 854: | ||
<!--tips --> | <!--tips --> | ||
- | <tr><td colspan="3"> <h2> | + | <tr><td colspan="3"> <h2> Team Introduction </h2></td></tr> |
<tr> | <tr> | ||
- | <td | + | <td> |
- | <p> | + | <p>The iGEM HUST-INNOVATORS 2014 is an energetic family composed of 10 undergraduate students and 2 advisors. Our members come from a variety of departments, majoring in non-bio-concerned subjects like Energy & Power Engineering, Computer Science. And other 5 of us come from biology department.The detailed work distribution is as follows:</p> |
- | <br> | + | <p>Leaders: He Yu, Zhang Yue |
+ | <br/>Advisors: Chen Gang, Wang Depeng ,Gong Yangming | ||
+ | <br/>Team Members: Tang Yu, Dong Xiaolei, Wang Yiqiao, Hou Yuhan | ||
+ | </p> | ||
- | < | + | <h3> Attribution </h3> |
- | < | + | <p> |
- | < | + | <a style="font-weight:bold">Sequencing Procedure Group:</a> |
- | < | + | <br/>Proposal: Zhang Yue |
- | < | + | <br/>Program designer: Tangyu, Dong Xiaolei |
- | < | + | <br/>Documentation: Zhang Yue, Hou Yuhan |
- | </ | + | </p> |
+ | <p> | ||
+ | <a style="font-weight:bold">Experiments Group:</a> | ||
+ | <br/>Proposal: He Yu | ||
+ | <br/>Program designer: Liang Qihua, Zhang Zihe, Li Xiaotong, Yang Kairan | ||
+ | </p> | ||
+ | <p> | ||
+ | <a style="font-weight:bold">Modeling: </a> | ||
+ | <br/>Main Designer: Hou Yuhan | ||
+ | <br/>Modeling :Hou Yuhan, Wang Yiqiao | ||
+ | </p> | ||
+ | <p> | ||
+ | <a style="font-weight:bold">Wiki:</a> | ||
+ | <br/>Main designer: Mo Bufei | ||
+ | <br/>Content: Tang Yu, Dong Xiaolei, Wang Yiqiao, Hou Yuhan, | ||
+ | Liang Qihua, Zhang Zihe, Li Xiaotong, Yang Kairan | ||
+ | </p> | ||
- | <p> | + | <h3> Acknowledgment </h3> |
- | </ | + | <p> |
+ | We are truly grateful to the following people and organizations for their kind support with funding, materials, facilities, and professional advice: | ||
+ | </p> | ||
+ | <p> | ||
+ | Prof. Gong Yangming, the researcher of the OILCROP REASEARCH INSTITUTE, for providing the strain of the Thraustochytrids and the experiments platform for us. | ||
+ | </p> | ||
+ | <p> | ||
+ | Mr. Wang Depeng, the head of Nextomics, for helping us to change some part of code of some assembly tools and sequence the Thraustochytrids we need to use. | ||
+ | </p> | ||
+ | <p> | ||
+ | Mr. Liang Fan, a proposal of Nextomics, for helping us construct our tools on computers. | ||
+ | </p> | ||
+ | <p> | ||
+ | Mr. Liu Zhenhua, a proposal of Nextomics, for teaching us knowledge about sequencing history and tools. | ||
+ | </p> | ||
+ | <p> | ||
+ | Prof. Chen Gang, the Chef of the School of Energy and Power Engineering, HUST, for instructing our work and supporting our team fund and transportation fee. | ||
+ | </p> | ||
+ | <p> | ||
+ | Mr. Mo Bufei, for helping us construct our wiki before wiki freeze. | ||
+ | Team WHU, for helping us construct the biobrick. | ||
+ | </p> | ||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
</td> | </td> | ||
</tr> | </tr> |
Revision as of 02:26, 16 October 2014
WELCOME TO iGEM 2014!Your team has been approved and you are ready to start the iGEM season!
On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world! |
||||
|
||||
Home | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|
|||
Evolution of Synthetic Biology | ||||
Overture(IGS and Bioinformatics)In 1977 Sanger and colleagues introduced the "dideoxy" chain-termination method for sequencing DNA molecules, also known as the "Sanger method".This was a major breakthrough and allowed long stretches of DNA to be rapidly and accurately sequenced. It earned him his second Nobel prize in Chemistry in 1980, which he shared with Walter Gilbert and Paul Berg.The new method was used by Sanger and colleagues to sequence human mitochondrial DNA (16,569 base pairs) and bacteriophage λ (48,502 base pairs).The dideoxy method was eventually used to sequence the entire human genome. As the accumulation of sequence data, databases formed, which announced the birth of the bioinformatics. In short, the bioinformatics is the harbinger of the Synthetic-Biology’s emergence. Sonata(NGS and Synthetic Biology)In short, the First GS has some fatal drawbacks such as high cost and low throughput. This is why it was replaced by NGS, such as 454, Solexa, Hiseq, etc. The NGS has distinct effects on cost-reduction and time-saving with high accuracy. For instance, it took only one week to finish the human genome project by NGS, while the time using by First GS is 3 years. As more and more species were sequenced, the size of genomic data is enlarged. As is known, the sequence of species is the major prerequisite of the SB. So the conclusion is drawn that the emergence of the NGS indicated the naissance of SB. cadenza (III GS and ???)That is why we start our project this year. Docosahexaenoic AcidDocosahexaenoic acid (DHA) is an omega-3 fatty acid that is a primary structural component of the human brain, cerebral cortex, skin, sperm, testicles and retina. It can be synthesized from alpha-linolenic acid or obtained directly from maternal milk or fish oil. DHA's structure is a carboxylic acid with a 22-carbon chain and six cis double bonds; with the first double bond located at the third carbon from the omega end. Its trivial name is cervonic acid, its systematic name is all-cis-docosa-4,7,10,13,16,19-hexa-enoic acid, and its shorthand name is 22:6(n-3) in the nomenclature of fatty acids. Cold-water oceanic fish oils are rich in DHA. Most of the DHA in fish and multi-cellular organisms with access to cold-water oceanic foods originates from photosynthetic and heterotrophic microalgae, and becomes increasingly concentrated in organisms the further they are up the food chain. DHA is also commercially manufactured from microalgae: Crypthecodinium cohnii and another of the genus Schizochytrium. DHA manufactured using microalgae is vegetarian. ThraustochytridsThraustochytrids is rich in oceanic environment. And they can produce large amount of DHA. However our strain T-roseum ATCC28210 was still not sequenced yet. It means our project was blocked if we used the traditional Synthetic Biology Methods. To achieve our goal, we need to do something before the Traditional Process. |
||||
Tips | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|
|||
What is SMRT | ||||
Single molecule real time sequencing (also known as SMRT) is a parallelized single molecule DNA sequencing by synthesis technology developed by Pacific Biosciences. Single molecule real time sequencing utilizes the zero-mode waveguide (ZMW), developed in the laboratories of Harold G. Craighead and Watt W. Webb[1] at Cornell University. A single DNA polymerase enzyme is affixed at the bottom of a ZMW with a single molecule of DNA as a template. The ZMW is a structure that creates an illuminated observation volume that is small enough to observe only a single nucleotide of DNA (also known as a base) being incorporated by DNA polymerase. Each of the four DNA bases is attached to one of four different fluorescent dyes. When a nucleotide is incorporated by the DNA polymerase, the fluorescent tag is cleaved off and diffuses out of the observation area of the ZMW where its fluorescence is no longer observable. A detector detects the fluorescent signal of the nucleotide incorporation, and the base call is made according to the corresponding fluorescence of the dye. The DNA sequencing is done on a chip that contains many ZMWs. Inside each ZMW, a single active DNA polymerase with a single molecule of single stranded DNA template is immobilized to the bottom through which light can penetrate and create a visualization chamber that allows monitoring of the activity of the DNA polymerase at a single molecule level. The signal from a phospho-linked nucleotide incorporated by the DNA polymerase is detected as the DNA synthesis proceeds which results in the DNA sequencing in real time. Phospholinked nucleotideFor each of the nucleotide bases, there are four corresponding fluorescent dye molecules that enable the detector to identify the base being incorporated by the DNA polymerase as it performs the DNA synthesis. The fluorescent dye molecule is attached to the phosphate chain of the nucleotide. When the nucleotide is incorporated by the DNA polymerase, the fluorescent dye is cleaved off with the phosphate chain as a part of a natural DNA synthesis process during which a phosphodiester bond is created to elongate the DNA chain. The cleaved fluorescent dye molecule then diffuses out of the detection volume so that the fluorescent signal is no longer detected. Zero-mode waveguideThe zero-mode waveguide (ZMW) is a nanophotonic confinement structure that consists of a circular hole in an aluminum cladding film deposited on a clear silica substrate.[3] The ZMW holes are ~70 nm in diameter and ~100 nm in depth. Due to the behavior of light when it travels through a small aperture, the optical field decays exponentially inside the chamber.[4] The observation volume within an illuminated ZMW is ~20 zeptoliters (20 X 10−21 liters). Within this volume, the activity of DNA polymerase incorporating a single nucleotide can be readily detected. |
||||
Why uses SMRT(The merits compared to the NGS) | ||||
Relative TerminologiesContigsA sequence contig is a contiguous, overlapping sequence read resulting from the reassembly of the small DNA fragments generated by bottom-up sequencing strategies. This meaning of contig is consistent with the original definition by Rodger Staden (1979). The bottom-up DNA sequencing strategy involves shearing genomic DNA into many small fragments ("bottom"), sequencing these fragments, reassembling them back into contigs and eventually the entire genome ("up"). Because current technology allows for the direct sequencing of only relatively short DNA fragments (300–1000 nucleotides), genomic DNA must be fragmented into small pieces prior to sequencing. In bottom-up sequencing projects, amplified DNA is sheared randomly into fragments appropriately sized for sequencing. The subsequent sequence reads, which are the data that contains the sequence of each fragment, are assembled into contigs, which are finally connected by sequencing the gaps between them resulting in a sequenced genome. The ability to assemble contigs depends on the overlap of reads. Because shearing is random and performed on multiple copies of DNA, each portion of the genome should be represented multiple times in different fragment frames. In other words, the sequences of the fragments (and thus the reads) should overlap. After sequencing, the overlapping reads are assembled into contigs by assembly software. ScaffoldScaffolds consist of overlapping contigs separated by gaps of known length. The new constraints placed on the orientation of the contigs allows for the placement of highly repeated sequences in the genome. If one end read has a repetitive sequence, as long as its mate pair is located within a contig, its placement is known. The remaining gaps between the contigs in the scaffolds can then be sequenced by a variety of methods, including PCR amplification followed by sequencing (for smaller gaps) and BAC cloning methods followed by sequencing for larger gaps. Advancement from NGSExtremely Long ReadsThe NGS sequencing Technology requires prohibitive storage space and operation time for the sake of relatively short digital crumbs( In fact, the average length of NGS reads is far longer than the Sanger, the first GS reads). Clearly, the shortage of NGS is their assembly, like puzzle games. The shorter the reads are, the more barriers we will meet in the concatenation process. Unfortunately, this problem is fundamental data property, even if we have more proper modeling and more efficient algorithms. Until now we have found no chance to compensate this demerit. Comparatively speaking, the SMRT sequencing operating on PacBio RS II
1. Incredibly long read length: the average read length is between 5,000 to 8,000 bases per read( the average length of NGS read ranges from 150 to 400 bp). The maximum read length can reach 20,000 bp.
2.High accuracy:In short, the accuracy of sequencing can reach 99.999%.
3.GC Problem:For the NGS, areas with high GC concentration mean low coverage. Only insufficient info can be dug out for assembly. This is why many gaps between DNA sequences emerge in the result.
|
||||
Our Project | ||||
SequencingFirst, we decided to sequence the unknown Thraustochytrium roseum. As we read the thesis on Velvet, SSpace, GRASS and so on, we finally made a determination to use the struture of the GRASS to do the scaffolding process after finishing getting contigs. As the data is sequenced from the 3rd Generation Sequencing Method, we had changed some lines of the code in order to fix the characteristics of the data.
Then, with the help of Nextomics, we finished the annotation and found that the scaffold shown above is the required one. DHA engineering yeastAbstractUnsaturated fatty acidsUnsaturated fatty acids have one or more double bonds between carbon atoms. (Pairs of carbon atoms connected by double bonds can be saturated by adding hydrogen atoms to them, converting the double bonds to single bonds. Therefore, the double bonds are called unsaturated.)
Traditional originA.Deep sea fish oilThis is the major source of PUFAs. The disadvantages include complex purification processes and limited resources. B.Marine microalgaeThis is the original source of the PUFAs. The disadvantages are low productivity and unstability output. The synthesis path of PUFAsIn our project, we use EPA and ARA as substrates to produce DHA and DPA. Technical route
Thraustochytrids and Isochrysis galbana as materials is used for producing DHA and DPA in yeast in order to provide research materials and scientific data.
|
||||
Tips | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|
|||
Tips | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|
|||
Software | ||||
The software is decided for those who is not familiar to the Bioinformatics and Computer Science. What guests need to do is to print the location of the required files. Then a final sequencing result will emerge. The software works on Unix system only.
|
||||
Part Submitted | ||||
Tips | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|
|||
Team Introduction | ||||
The iGEM HUST-INNOVATORS 2014 is an energetic family composed of 10 undergraduate students and 2 advisors. Our members come from a variety of departments, majoring in non-bio-concerned subjects like Energy & Power Engineering, Computer Science. And other 5 of us come from biology department.The detailed work distribution is as follows: Leaders: He Yu, Zhang Yue
Attribution
Sequencing Procedure Group:
Experiments Group:
Modeling:
Wiki:
AcknowledgmentWe are truly grateful to the following people and organizations for their kind support with funding, materials, facilities, and professional advice: Prof. Gong Yangming, the researcher of the OILCROP REASEARCH INSTITUTE, for providing the strain of the Thraustochytrids and the experiments platform for us. Mr. Wang Depeng, the head of Nextomics, for helping us to change some part of code of some assembly tools and sequence the Thraustochytrids we need to use. Mr. Liang Fan, a proposal of Nextomics, for helping us construct our tools on computers. Mr. Liu Zhenhua, a proposal of Nextomics, for teaching us knowledge about sequencing history and tools. Prof. Chen Gang, the Chef of the School of Energy and Power Engineering, HUST, for instructing our work and supporting our team fund and transportation fee. Mr. Mo Bufei, for helping us construct our wiki before wiki freeze. Team WHU, for helping us construct the biobrick. |
||||
Tips | ||||
We are currently working on providing teams with some easy to use design templates.
For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists. |
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
|