Difference between revisions of "Team:UESTC Software/Description.html"

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<h3 class="des_h3">Overview</h3>
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<h3 class="des_h3">Background </h3>
<p>Designed especially for the functioning cellular life form under the most favorable conditions, MCCAP (Minimal Cell Construct and Analyse Panel) is a software <b class="bianse">targeting to screen the minimal gene set</b>, based on a formal methodology (“top-down”) and a new method which means: if the number of organisms with this sort of essential gene have reached 50 percent or more, it will be reserved. Then you can utilize the minimal gene set, which consists of the essential gene that the software has filtered, to <b  class="bianse">structure the metabolism network for modularization analysis</b>. What is more charming is its functions in different fields, varying from biological research to pharmaceutical application. MCCAP will inspire your interest by <b class="bianse">seeking our common ancestor, making the chassis of artificial cell, producing antimicrobial drug targets and promoting the synthesis of bacterial strain</b> which is more adapted to the needs as well.</p>
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<p>It is widely accepted that building a minimal artificial cell serves as a critical role in synthetic biology. A synthetic minimal cell will supply a proper chassis to integrate functional synthetic parts, devices and systems with functions which can meet different purposes and requirements [1]. </p>
 +
                        <p>More and more researchers have taken the design and construction of a functional minimal genome into great consideration when assembly such a minimal artificial cell or chassis, since all the cell functions can be dates back to genome. For the minimal genome, it represents the infrastructure of a minimal cell and could be taken as the foundation for synthetic biology [1]. It is well-known that minimal genome can be used for chassis cell while applying to the industrial manufacture and synthetic biology [2]. On one hand, reduced cell can transfer resource into specific products needed by human more effective and can reduce the waste of resource as well. For another, it is much easier for the extraction and purification of target products [3].</p>
 +
                        <p>The works for evaluating the size and content of minimal genome have been carried out through comparative and experimental approaches. Mushegian and Koonin [4] pioneered the work of determining a minimal gene set by comparative genomic approach (bottom-up approach and top-down approach). They derived such a repertoire for the first minimal gene set with 256 conserved genes based on the first two completely sequenced small bacterial genomes, Mycoplasma genitalium and Haemophilus influenza, which belong to two ancient bacterial lineages, i.e., Gram-positive and Gram-negative bacteria, respectively. Later,  based on comprehensively comparing the published data from comparative genomics and experiments, Gil [5] and his colleagues determined the core of a minimal bacterial gene set with 206 genes, and reconstructed a minimal metabolic machinery necessary to sustain life [6]. </p>
 +
                        <p>In practice, the comparative-genomic approach to minimal gene-set derivation is based on the key evolutionary notion of orthology, and the resulting sets of genes should approximate those of ancestral life-forms [6]. </p>
 +
                        <p>It is predictable that with the increasing number of chromosomes from different organisms, the number of orthologous genes would descend. Analysis of about 100 genomes shows that only 63 genes are ubiquitous. That may be caused by the condition, when the genes which perform the same function in two species are non-orthologous, then the essential gene will be missed [4]. However, the researchers had to adopt the “ubiquitous” strategy just because at that time only a few bacterial genomes had been completely sequenced.</p>
 
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<h3 class="des_h3">Project Motivation</h3>
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<h3 class="des_h3">Overview</h3>
<p><b class="bianse">Essential genes</b> are indispensable for the survival of living entitles, and the functions of proteins encoded by these genes are considered to be the foundation of life, <b class="bianse">they are the cornerstones of synthetic biology</b>. The study and exploration of essential genes, serving as the foundation of synthetic biology, plays an important role in this field. However, the development has been hampered. There are <b class="bianse">two obstacles</b>. Firstly, it is <b class="bianse">hard to measure the common essential genes</b>. Secondly, <b class="bianse">the interaction information between gene network and essential genes is far from enough</b>. MCCAP, Minimal Cell Construct and Analyse Panel, developed by us, is dedicated to these two problems. The software that we formulated obtains the ‘accessory’ essential gene from the species which are selected through experiments, and also MCCAP finds out the ‘core’ essential gene from it and gives the gene metabolic network analysis diagram. </p>
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<p>In recent years, dozens of bacteria have obtained genome scale essentiality data with experimental validations and they can provide us the feasibility to develop a novel strategy of minimal gene set extraction from the experimental essentiality data. Following the comparative genomic approach (bottom-up method), we developed the “half-retaining”, by comparing the experimentally-determined essential genes among various reference species. This strategy [7] retains the essential genes persisting in more than half of the reference genomes to obtain conserved essential genes. Conventional methods [4] which retain genes persistent in all reference species as a minimal gene set suffer from the disadvantage that the number of orthologous genes would drop off with the increase of the number of chromosomes from different organisms. In contrast, we overcomes this issue in principle and results in a robust gene set, only if the reference species are randomly selected and cover all the primary phylogenetic lineages. In addition, our source data is derived from the initial set of experimentally-determined essential genes, which ensures our results are not redundant. Hence, our results represent that the size and content of minimal gene set are stable and convergent. </p>
 
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<h3 class="des_h3">Background</h3>
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<h3 class="des_h3">Virtues</h3>
<p>The numbers of genes in well-characterized genomes of cellular life forms range from as few as 480 parasitic bacterium Mycoplasma genitalium to~100,000-150,000 in multicellular eukaryotes, such as humans (Information on the completely sequenced genomes, including several complementary views of gene arrangement, can be found at
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<p>To construct an updated minimal gene set of bacteria, we renovate systematically the conventional process in the following two points. Firstly, it starts from the experimentally-determined essential genes and thus the result is more reliable and accurate. Secondly, we developed a new strategy called half-retaining to identify essential genes conserved among over half of the reference species, which made the obtained minimal gene set more robust.</p>
http://www.ncbi.nlm.nih.gov/Entrez/Genome/org.html)</p>
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<h3 class="des_h3">How Did We Do it ?</h3>
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<h3 class="des_h3">Innovation </h3>
<p>MCCAP attains the vital data from CEG, processes the data and screens the essential gene set according to the inputs by users. </p>
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<p>For innovation, our strategy, half-retaining, has blazed a new trail in three aspects. Based on the increasingly accumulated number of essential gene experimentally determined by genome scale gene in-activation way, we together with instructors’ groups proposed our strategy, half-retaining, to solve this problem [7]. Primarily, we combined comparative genomics approach with data (essential genes) from experiments (gene inactivation) instead of using theoretical method alone to construct a more complete minimal gene set than previous. In the second place, the minimal gene set that we defined would be confirmed according to user requirements and users’ purpose, rather than the only gene set in the previous. At last, the ubiquitous genes of minimal gene set determined by Koonin suffers from the flaw that enlarging the number of reference species would reduce the amount of genes retained in the minimal gene set. However, our half-retaining strategy overcomes this problem and results in a robust gene set. The number of selected genes is tending towards stability with the increase reference species by our strategy. </p>
 
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                 <div class="QandA">
<h3 class="des_h3">Future</h3>
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<p>[1] Juhas M. On the road to synthetic life: the minimal cell and genome-scale engineering. Crit Rev Biotechnol, 2015, July 7. [Epub head of print]</p>
<p>It is undeniable that we still have a lot to do to improve MCCAP in many aspects to make it better. For future work, we hope to:<br />1.Add analysis of non-coding RNA-related functions to perfect the construction of minimal cell.<br />2.Improve the metabolism pathway. Based on the existing database of metabolism pathway, we will collect experimental information through crowdfunding and put them together to reconstruct the metabolism pathway.<br />3.Provide function of user register and login. Make preservation of users’ personal data comes true. </p>
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<p>[2] Juhas M, Eberl L, Church GM. Essential genes as antimicrobial targets and cornerstones of synthetic biology. Trends Biotechnol, 2012, 30(11)601-7.</p>
 +
<p>[3] Gil R, Silva FJ, Pereto J, Moya A. Determination of the core of a minimal bacterial gene set. Microbiol Mol Biol Rev, 2004, 68(3): 518-37.</p>
 +
<p>[4] Mushegian AR, Koonin EV. A minimal gene set for cellular life derived by comparison of complete bacterial genomes. Proc Natl Acad Sci USA, 1996, 93(19):10268-73. </p>
 +
<p>[5] Foley, P.L. and Shuler, M.L. Considerations for the design and construction of a synthetic platform cell for biotechnological applications. Biotechnol Bioeng, 2010, 105, 26-36.</p>
 +
<p>[6] Koonin EV. Comparative genomics, minimal gene-sets and the last universal common ancestor. Nat Rev Microbiol, 2003, 1(2):127-36.</p>
 +
<p>[7] Yuan-Nong Ye, Bin-Guang Ma, Chuan Dong, Hong Zhang, Ling-Ling Chen and Feng-Biao Guo. A novel bacteria minimal gene set and neo-construction of a general minimal metabolic network.  Scientific Reports, under review. </p>
 
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Revision as of 11:47, 14 September 2015

Description

Description

Background

It is widely accepted that building a minimal artificial cell serves as a critical role in synthetic biology. A synthetic minimal cell will supply a proper chassis to integrate functional synthetic parts, devices and systems with functions which can meet different purposes and requirements [1].

More and more researchers have taken the design and construction of a functional minimal genome into great consideration when assembly such a minimal artificial cell or chassis, since all the cell functions can be dates back to genome. For the minimal genome, it represents the infrastructure of a minimal cell and could be taken as the foundation for synthetic biology [1]. It is well-known that minimal genome can be used for chassis cell while applying to the industrial manufacture and synthetic biology [2]. On one hand, reduced cell can transfer resource into specific products needed by human more effective and can reduce the waste of resource as well. For another, it is much easier for the extraction and purification of target products [3].

The works for evaluating the size and content of minimal genome have been carried out through comparative and experimental approaches. Mushegian and Koonin [4] pioneered the work of determining a minimal gene set by comparative genomic approach (bottom-up approach and top-down approach). They derived such a repertoire for the first minimal gene set with 256 conserved genes based on the first two completely sequenced small bacterial genomes, Mycoplasma genitalium and Haemophilus influenza, which belong to two ancient bacterial lineages, i.e., Gram-positive and Gram-negative bacteria, respectively. Later, based on comprehensively comparing the published data from comparative genomics and experiments, Gil [5] and his colleagues determined the core of a minimal bacterial gene set with 206 genes, and reconstructed a minimal metabolic machinery necessary to sustain life [6].

In practice, the comparative-genomic approach to minimal gene-set derivation is based on the key evolutionary notion of orthology, and the resulting sets of genes should approximate those of ancestral life-forms [6].

It is predictable that with the increasing number of chromosomes from different organisms, the number of orthologous genes would descend. Analysis of about 100 genomes shows that only 63 genes are ubiquitous. That may be caused by the condition, when the genes which perform the same function in two species are non-orthologous, then the essential gene will be missed [4]. However, the researchers had to adopt the “ubiquitous” strategy just because at that time only a few bacterial genomes had been completely sequenced.

Overview

In recent years, dozens of bacteria have obtained genome scale essentiality data with experimental validations and they can provide us the feasibility to develop a novel strategy of minimal gene set extraction from the experimental essentiality data. Following the comparative genomic approach (bottom-up method), we developed the “half-retaining”, by comparing the experimentally-determined essential genes among various reference species. This strategy [7] retains the essential genes persisting in more than half of the reference genomes to obtain conserved essential genes. Conventional methods [4] which retain genes persistent in all reference species as a minimal gene set suffer from the disadvantage that the number of orthologous genes would drop off with the increase of the number of chromosomes from different organisms. In contrast, we overcomes this issue in principle and results in a robust gene set, only if the reference species are randomly selected and cover all the primary phylogenetic lineages. In addition, our source data is derived from the initial set of experimentally-determined essential genes, which ensures our results are not redundant. Hence, our results represent that the size and content of minimal gene set are stable and convergent.

Virtues

To construct an updated minimal gene set of bacteria, we renovate systematically the conventional process in the following two points. Firstly, it starts from the experimentally-determined essential genes and thus the result is more reliable and accurate. Secondly, we developed a new strategy called half-retaining to identify essential genes conserved among over half of the reference species, which made the obtained minimal gene set more robust.

Innovation

For innovation, our strategy, half-retaining, has blazed a new trail in three aspects. Based on the increasingly accumulated number of essential gene experimentally determined by genome scale gene in-activation way, we together with instructors’ groups proposed our strategy, half-retaining, to solve this problem [7]. Primarily, we combined comparative genomics approach with data (essential genes) from experiments (gene inactivation) instead of using theoretical method alone to construct a more complete minimal gene set than previous. In the second place, the minimal gene set that we defined would be confirmed according to user requirements and users’ purpose, rather than the only gene set in the previous. At last, the ubiquitous genes of minimal gene set determined by Koonin suffers from the flaw that enlarging the number of reference species would reduce the amount of genes retained in the minimal gene set. However, our half-retaining strategy overcomes this problem and results in a robust gene set. The number of selected genes is tending towards stability with the increase reference species by our strategy.

[1] Juhas M. On the road to synthetic life: the minimal cell and genome-scale engineering. Crit Rev Biotechnol, 2015, July 7. [Epub head of print]

[2] Juhas M, Eberl L, Church GM. Essential genes as antimicrobial targets and cornerstones of synthetic biology. Trends Biotechnol, 2012, 30(11)601-7.

[3] Gil R, Silva FJ, Pereto J, Moya A. Determination of the core of a minimal bacterial gene set. Microbiol Mol Biol Rev, 2004, 68(3): 518-37.

[4] Mushegian AR, Koonin EV. A minimal gene set for cellular life derived by comparison of complete bacterial genomes. Proc Natl Acad Sci USA, 1996, 93(19):10268-73.

[5] Foley, P.L. and Shuler, M.L. Considerations for the design and construction of a synthetic platform cell for biotechnological applications. Biotechnol Bioeng, 2010, 105, 26-36.

[6] Koonin EV. Comparative genomics, minimal gene-sets and the last universal common ancestor. Nat Rev Microbiol, 2003, 1(2):127-36.

[7] Yuan-Nong Ye, Bin-Guang Ma, Chuan Dong, Hong Zhang, Ling-Ling Chen and Feng-Biao Guo. A novel bacteria minimal gene set and neo-construction of a general minimal metabolic network. Scientific Reports, under review.