EcoliWiki - User contributions [en]

Metabolic Network Reconstructions

2014-02-03T13:17:48Z

Jarlemag: /* iJE660 */

{{Pagetop}} 

== Short Description ==
Metabolic network reconstructions are biochemically, genetically, and genomically (BiGG) structured knowledge bases that seek to formally represent the known metabolic activities of an organism. Network reconstructions also exist for other types of biological networks, including transcription/translation and signaling networks. Genome-scale metabolic networks have been reconstructed for over 60 organisms so far, including ''E. coli''. These reconstructions are useful because they can be converted into constraint-based models, allowing useful predictive calculations like flux balance analysis to be performed. Constraint-based models of ''E. coli'' have existed for nearly twenty years <ref name='PMID:18609648'/>. The first genome-scale model of ''E. coli'' metabolism was released in 2000, and this model continues to be expanded and updated today.

== Constraint-Based Modeling ==
Constraint-based models are a way of mathematically encoding a metabolic network reconstruction. Networks can be encoded as stoichiometric matrices ('''S'''), in which each row represents a unique metabolite and each column represents a biochemical reaction. The entries in each column of this matrix are the stoichiometric coefficients of the metabolites in the reaction. Metabolites that are consumed have a negative coefficient and metabolites that are produced have a positive coefficient. Since most reactions involve only a few metabolites, '''S''' is a sparse matrix. The size of '''S''' is ''m''*''n'' for a network with ''m'' metabolites and ''n'' reactions. The vector '''x''' with length ''m'' can then be defined as the concentrations of all the metabolites and the vector '''v''' with length ''n'' contains the fluxes through each reaction. A mass balance equation can then be written:

d'''x'''/dt = '''Sv'''

or at steady state:

'''0''' = '''Sv'''

This equation defines the space of possible flux distributions ('''v''') allowed by the network. These flux distributions can be further constrained by imposing upper and lower bounds on the flux through each reaction, based on known biochemical data. Flux balance analysis is a method for identifying a particular '''v'''<ref name='PMID:20212490'/>. To perform flux balance analysis, an objective function such as maximum growth must be defined. Linear programming is then used to quickly identify a '''v''' that optimizes this objective, given the constraints of the model. Flux balance analysis and related computational methods can be used along with constraint-based models to predict growth rates in different conditions or with different genetic perturbations<ref name='PMID:18392986'/>, identify missing genes or reactions in a network reconstruction<ref name='PMID:17088549'/>, or produce metabolic engineering strain designs<ref name='PMID:14595777'/>.

== Constraint-Based Models of ''E. coli'' ==
=== ''i''JE660 ===
The first genome-scale metabolic model of ''E. coli'', ''i''JE660, was published in 2000<ref name='PMID:10805808'/>. This model accounts for the products of 660 metabolic genes, and has 627 reactions and 438 metabolites. It includes a biomass reaction based on the measured components of ''E. coli'' biomass that can be used to simulate growth. This model was built using information from textbooks, databases, and extensive literature searches. Reactions were manually curated to ensure correct stoichiometry and use of realistic cofactors.

Model versions:
The original paper described a model with 436 metabolites and 720 reactions. ''i''JE660 is listed as GSMN006 at the GSMNDB [[http://202.113.12.55/MyGSMNDB/Models/GSMN006-Escherichia%20coli.htm]], with 627 reactions and 438 reactions. A third version with 739 reactions, called iJE660a (Formerly Version 1.01), was also available previously from http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML but now appears to be unavailable.

Model details:

*Proton balancing: Only external protons associated with the proton motive force are accounted for.

=== ''i''JR904 ===
In 2003, the ''i''JE660 network was updated to form ''i''JR904<ref name='PMID:12952533'/>. This model is significantly expanded, containing 904 genes, 931 compartments, and 625 metabolites. ''i''JR904 contains explicit gene-protein-reaction interactions, Boolean rules that define which genes are required for each reaction. Reactions were checked for proper charge balancing, and gaps in the model were identified and filled when possible.

=== ''i''AF1260 ===
The next update to the ''E. coli'' genome-scale metabolic model was ''i''AF1260, published in 2007<ref name='PMID:17593909'/>. The total number of genes increased to 1260, along with increases to 2077 reactions and 1039 unique metabolites. The scope of the network was expanded, explicitly accounting for periplasmic reactions and metabolites. The model was reconciled with the lastest version of the [http://www.ecocyc.org/ EcoCyc] database, and thermodynamic analysis was performed to predict the reversibility of reactions. ''i''AF1260 and its predecessors have been used in studies of metabolic engineering, biological discovery, phenotypic behavior, network analysis, and bacterial evolution<ref name='PMID:18536691'/>.

=== ''i''JO1366 ===
The latest version of the ''E. coli'' metabolic network model was published in 2011 and named ''i''JO1366 <ref name='PMID:21988831'/>. The model was expanded again, this time containing 2251 reactions, 1136 unique metabolites, and accounting for 1366 genes. Newly characterized reactions and pathways were added, and the scope of the model was increased to include biosynthetic pathways for for cofactors such as iron-sulfur clusters and molybdenum cofactors. The biomass reaction was updated and the growth and non-growth associated maintenance parameters were recalculated. As the latest version of the ''E. coli'' metabolic model, ''i''JO1366 continues to be updated as new discoveries are made.

=== ''E. coli'' core model ===
The core ''E. coli'' model is a small-scale model of the central metabolism of ''E. coli''. It is a modified subset of the ''i''AF1260 model, and contains 134 genes, 95 reactions, and 72 metabolites. This model is used for educational purposes, since the results of most constraint-based calculations are easier to interpret on this smaller scale. It is also useful for testing new constraint-based analysis methods.

== Links ==
''i''JR904 and ''i''AF1260 are available at http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML

''i''JO1366 is available at the BioModels database (accession: [http://www.ebi.ac.uk/compneur-srv/biomodels-main/MODEL1108160000 MODEL1108160000]).

The core ''E. coli'' model is available [http://systemsbiology.ucsd.edu/Downloads/E_coli_Core here].

The COBRA Toolbox, a Matlab toolbox for analyzing constraint-based models, is available [http://systemsbiology.ucsd.edu/Downloads/Cobra_Toolbox here].

== References ==
{{RefHelp}}
<references/>
[[Category:Bioinformatics Tools]]

Metabolic Network Reconstructions

2014-02-03T11:27:39Z

Jarlemag: /* Links */

{{Pagetop}} 

== Short Description ==
Metabolic network reconstructions are biochemically, genetically, and genomically (BiGG) structured knowledge bases that seek to formally represent the known metabolic activities of an organism. Network reconstructions also exist for other types of biological networks, including transcription/translation and signaling networks. Genome-scale metabolic networks have been reconstructed for over 60 organisms so far, including ''E. coli''. These reconstructions are useful because they can be converted into constraint-based models, allowing useful predictive calculations like flux balance analysis to be performed. Constraint-based models of ''E. coli'' have existed for nearly twenty years <ref name='PMID:18609648'/>. The first genome-scale model of ''E. coli'' metabolism was released in 2000, and this model continues to be expanded and updated today.

== Constraint-Based Modeling ==
Constraint-based models are a way of mathematically encoding a metabolic network reconstruction. Networks can be encoded as stoichiometric matrices ('''S'''), in which each row represents a unique metabolite and each column represents a biochemical reaction. The entries in each column of this matrix are the stoichiometric coefficients of the metabolites in the reaction. Metabolites that are consumed have a negative coefficient and metabolites that are produced have a positive coefficient. Since most reactions involve only a few metabolites, '''S''' is a sparse matrix. The size of '''S''' is ''m''*''n'' for a network with ''m'' metabolites and ''n'' reactions. The vector '''x''' with length ''m'' can then be defined as the concentrations of all the metabolites and the vector '''v''' with length ''n'' contains the fluxes through each reaction. A mass balance equation can then be written:

d'''x'''/dt = '''Sv'''

or at steady state:

'''0''' = '''Sv'''

This equation defines the space of possible flux distributions ('''v''') allowed by the network. These flux distributions can be further constrained by imposing upper and lower bounds on the flux through each reaction, based on known biochemical data. Flux balance analysis is a method for identifying a particular '''v'''<ref name='PMID:20212490'/>. To perform flux balance analysis, an objective function such as maximum growth must be defined. Linear programming is then used to quickly identify a '''v''' that optimizes this objective, given the constraints of the model. Flux balance analysis and related computational methods can be used along with constraint-based models to predict growth rates in different conditions or with different genetic perturbations<ref name='PMID:18392986'/>, identify missing genes or reactions in a network reconstruction<ref name='PMID:17088549'/>, or produce metabolic engineering strain designs<ref name='PMID:14595777'/>.

== Constraint-Based Models of ''E. coli'' ==
=== ''i''JE660 ===
The first genome-scale metabolic model of ''E. coli'', ''i''JE660, was published in 2000<ref name='PMID:10805808'/>. This model accounts for the products of 660 metabolic genes, and has 627 reactions and 438 metabolites. It includes a biomass reaction based on the measured components of ''E. coli'' biomass that can be used to simulate growth. This model was built using information from textbooks, databases, and extensive literature searches. Reactions were manually curated to ensure correct stoichiometry and use of realistic cofactors.

Model versions:
The original paper described a model with 436 metabolites and 720 reactions. ''i''JE660 is listed as GSMN006 at the GSMNDB [[http://202.113.12.55/MyGSMNDB/Models/GSMN006-Escherichia%20coli.htm]], with 627 reactions and 438 reactions. A third version with 739 reactions, called iJE660a (Formerly Version 1.01), was also available previously from http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML but now appears to be unavailable.

=== ''i''JR904 ===
In 2003, the ''i''JE660 network was updated to form ''i''JR904<ref name='PMID:12952533'/>. This model is significantly expanded, containing 904 genes, 931 compartments, and 625 metabolites. ''i''JR904 contains explicit gene-protein-reaction interactions, Boolean rules that define which genes are required for each reaction. Reactions were checked for proper charge balancing, and gaps in the model were identified and filled when possible.

=== ''i''AF1260 ===
The next update to the ''E. coli'' genome-scale metabolic model was ''i''AF1260, published in 2007<ref name='PMID:17593909'/>. The total number of genes increased to 1260, along with increases to 2077 reactions and 1039 unique metabolites. The scope of the network was expanded, explicitly accounting for periplasmic reactions and metabolites. The model was reconciled with the lastest version of the [http://www.ecocyc.org/ EcoCyc] database, and thermodynamic analysis was performed to predict the reversibility of reactions. ''i''AF1260 and its predecessors have been used in studies of metabolic engineering, biological discovery, phenotypic behavior, network analysis, and bacterial evolution<ref name='PMID:18536691'/>.

=== ''i''JO1366 ===
The latest version of the ''E. coli'' metabolic network model was published in 2011 and named ''i''JO1366 <ref name='PMID:21988831'/>. The model was expanded again, this time containing 2251 reactions, 1136 unique metabolites, and accounting for 1366 genes. Newly characterized reactions and pathways were added, and the scope of the model was increased to include biosynthetic pathways for for cofactors such as iron-sulfur clusters and molybdenum cofactors. The biomass reaction was updated and the growth and non-growth associated maintenance parameters were recalculated. As the latest version of the ''E. coli'' metabolic model, ''i''JO1366 continues to be updated as new discoveries are made.

=== ''E. coli'' core model ===
The core ''E. coli'' model is a small-scale model of the central metabolism of ''E. coli''. It is a modified subset of the ''i''AF1260 model, and contains 134 genes, 95 reactions, and 72 metabolites. This model is used for educational purposes, since the results of most constraint-based calculations are easier to interpret on this smaller scale. It is also useful for testing new constraint-based analysis methods.

== Links ==
''i''JR904 and ''i''AF1260 are available at http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML

''i''JO1366 is available at the BioModels database (accession: [http://www.ebi.ac.uk/compneur-srv/biomodels-main/MODEL1108160000 MODEL1108160000]).

The core ''E. coli'' model is available [http://systemsbiology.ucsd.edu/Downloads/E_coli_Core here].

The COBRA Toolbox, a Matlab toolbox for analyzing constraint-based models, is available [http://systemsbiology.ucsd.edu/Downloads/Cobra_Toolbox here].

== References ==
{{RefHelp}}
<references/>
[[Category:Bioinformatics Tools]]

Metabolic Network Reconstructions

2014-02-03T11:17:45Z

Jarlemag: /* Links */

{{Pagetop}} 

== Short Description ==
Metabolic network reconstructions are biochemically, genetically, and genomically (BiGG) structured knowledge bases that seek to formally represent the known metabolic activities of an organism. Network reconstructions also exist for other types of biological networks, including transcription/translation and signaling networks. Genome-scale metabolic networks have been reconstructed for over 60 organisms so far, including ''E. coli''. These reconstructions are useful because they can be converted into constraint-based models, allowing useful predictive calculations like flux balance analysis to be performed. Constraint-based models of ''E. coli'' have existed for nearly twenty years <ref name='PMID:18609648'/>. The first genome-scale model of ''E. coli'' metabolism was released in 2000, and this model continues to be expanded and updated today.

== Constraint-Based Modeling ==
Constraint-based models are a way of mathematically encoding a metabolic network reconstruction. Networks can be encoded as stoichiometric matrices ('''S'''), in which each row represents a unique metabolite and each column represents a biochemical reaction. The entries in each column of this matrix are the stoichiometric coefficients of the metabolites in the reaction. Metabolites that are consumed have a negative coefficient and metabolites that are produced have a positive coefficient. Since most reactions involve only a few metabolites, '''S''' is a sparse matrix. The size of '''S''' is ''m''*''n'' for a network with ''m'' metabolites and ''n'' reactions. The vector '''x''' with length ''m'' can then be defined as the concentrations of all the metabolites and the vector '''v''' with length ''n'' contains the fluxes through each reaction. A mass balance equation can then be written:

d'''x'''/dt = '''Sv'''

or at steady state:

'''0''' = '''Sv'''

This equation defines the space of possible flux distributions ('''v''') allowed by the network. These flux distributions can be further constrained by imposing upper and lower bounds on the flux through each reaction, based on known biochemical data. Flux balance analysis is a method for identifying a particular '''v'''<ref name='PMID:20212490'/>. To perform flux balance analysis, an objective function such as maximum growth must be defined. Linear programming is then used to quickly identify a '''v''' that optimizes this objective, given the constraints of the model. Flux balance analysis and related computational methods can be used along with constraint-based models to predict growth rates in different conditions or with different genetic perturbations<ref name='PMID:18392986'/>, identify missing genes or reactions in a network reconstruction<ref name='PMID:17088549'/>, or produce metabolic engineering strain designs<ref name='PMID:14595777'/>.

== Constraint-Based Models of ''E. coli'' ==
=== ''i''JE660 ===
The first genome-scale metabolic model of ''E. coli'', ''i''JE660, was published in 2000<ref name='PMID:10805808'/>. This model accounts for the products of 660 metabolic genes, and has 627 reactions and 438 metabolites. It includes a biomass reaction based on the measured components of ''E. coli'' biomass that can be used to simulate growth. This model was built using information from textbooks, databases, and extensive literature searches. Reactions were manually curated to ensure correct stoichiometry and use of realistic cofactors.

Model versions:
The original paper described a model with 436 metabolites and 720 reactions. ''i''JE660 is listed as GSMN006 at the GSMNDB [[http://202.113.12.55/MyGSMNDB/Models/GSMN006-Escherichia%20coli.htm]], with 627 reactions and 438 reactions. A third version with 739 reactions, called iJE660a (Formerly Version 1.01), was also available previously from http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML but now appears to be unavailable.

=== ''i''JR904 ===
In 2003, the ''i''JE660 network was updated to form ''i''JR904<ref name='PMID:12952533'/>. This model is significantly expanded, containing 904 genes, 931 compartments, and 625 metabolites. ''i''JR904 contains explicit gene-protein-reaction interactions, Boolean rules that define which genes are required for each reaction. Reactions were checked for proper charge balancing, and gaps in the model were identified and filled when possible.

=== ''i''AF1260 ===
The next update to the ''E. coli'' genome-scale metabolic model was ''i''AF1260, published in 2007<ref name='PMID:17593909'/>. The total number of genes increased to 1260, along with increases to 2077 reactions and 1039 unique metabolites. The scope of the network was expanded, explicitly accounting for periplasmic reactions and metabolites. The model was reconciled with the lastest version of the [http://www.ecocyc.org/ EcoCyc] database, and thermodynamic analysis was performed to predict the reversibility of reactions. ''i''AF1260 and its predecessors have been used in studies of metabolic engineering, biological discovery, phenotypic behavior, network analysis, and bacterial evolution<ref name='PMID:18536691'/>.

=== ''i''JO1366 ===
The latest version of the ''E. coli'' metabolic network model was published in 2011 and named ''i''JO1366 <ref name='PMID:21988831'/>. The model was expanded again, this time containing 2251 reactions, 1136 unique metabolites, and accounting for 1366 genes. Newly characterized reactions and pathways were added, and the scope of the model was increased to include biosynthetic pathways for for cofactors such as iron-sulfur clusters and molybdenum cofactors. The biomass reaction was updated and the growth and non-growth associated maintenance parameters were recalculated. As the latest version of the ''E. coli'' metabolic model, ''i''JO1366 continues to be updated as new discoveries are made.

=== ''E. coli'' core model ===
The core ''E. coli'' model is a small-scale model of the central metabolism of ''E. coli''. It is a modified subset of the ''i''AF1260 model, and contains 134 genes, 95 reactions, and 72 metabolites. This model is used for educational purposes, since the results of most constraint-based calculations are easier to interpret on this smaller scale. It is also useful for testing new constraint-based analysis methods.

== Links ==
''i''JR904 and ''i''AF1260 are available from the [http://bigg.ucsd.edu/ BiGG] database.

''i''JO1366 is available at the BioModels database (accession: [http://www.ebi.ac.uk/compneur-srv/biomodels-main/MODEL1108160000 MODEL1108160000]).

The core ''E. coli'' model is available [http://systemsbiology.ucsd.edu/Downloads/E_coli_Core here].

The COBRA Toolbox, a Matlab toolbox for analyzing constraint-based models, is available [http://systemsbiology.ucsd.edu/Downloads/Cobra_Toolbox here].

== References ==
{{RefHelp}}
<references/>
[[Category:Bioinformatics Tools]]

Metabolic Network Reconstructions

2014-01-31T22:19:21Z

Jarlemag:

{{Pagetop}} 

== Short Description ==
Metabolic network reconstructions are biochemically, genetically, and genomically (BiGG) structured knowledge bases that seek to formally represent the known metabolic activities of an organism. Network reconstructions also exist for other types of biological networks, including transcription/translation and signaling networks. Genome-scale metabolic networks have been reconstructed for over 60 organisms so far, including ''E. coli''. These reconstructions are useful because they can be converted into constraint-based models, allowing useful predictive calculations like flux balance analysis to be performed. Constraint-based models of ''E. coli'' have existed for nearly twenty years <ref name='PMID:18609648'/>. The first genome-scale model of ''E. coli'' metabolism was released in 2000, and this model continues to be expanded and updated today.

== Constraint-Based Modeling ==
Constraint-based models are a way of mathematically encoding a metabolic network reconstruction. Networks can be encoded as stoichiometric matrices ('''S'''), in which each row represents a unique metabolite and each column represents a biochemical reaction. The entries in each column of this matrix are the stoichiometric coefficients of the metabolites in the reaction. Metabolites that are consumed have a negative coefficient and metabolites that are produced have a positive coefficient. Since most reactions involve only a few metabolites, '''S''' is a sparse matrix. The size of '''S''' is ''m''*''n'' for a network with ''m'' metabolites and ''n'' reactions. The vector '''x''' with length ''m'' can then be defined as the concentrations of all the metabolites and the vector '''v''' with length ''n'' contains the fluxes through each reaction. A mass balance equation can then be written:

d'''x'''/dt = '''Sv'''

or at steady state:

'''0''' = '''Sv'''

This equation defines the space of possible flux distributions ('''v''') allowed by the network. These flux distributions can be further constrained by imposing upper and lower bounds on the flux through each reaction, based on known biochemical data. Flux balance analysis is a method for identifying a particular '''v'''<ref name='PMID:20212490'/>. To perform flux balance analysis, an objective function such as maximum growth must be defined. Linear programming is then used to quickly identify a '''v''' that optimizes this objective, given the constraints of the model. Flux balance analysis and related computational methods can be used along with constraint-based models to predict growth rates in different conditions or with different genetic perturbations<ref name='PMID:18392986'/>, identify missing genes or reactions in a network reconstruction<ref name='PMID:17088549'/>, or produce metabolic engineering strain designs<ref name='PMID:14595777'/>.

== Constraint-Based Models of ''E. coli'' ==
=== ''i''JE660 ===
The first genome-scale metabolic model of ''E. coli'', ''i''JE660, was published in 2000<ref name='PMID:10805808'/>. This model accounts for the products of 660 metabolic genes, and has 627 reactions and 438 metabolites. It includes a biomass reaction based on the measured components of ''E. coli'' biomass that can be used to simulate growth. This model was built using information from textbooks, databases, and extensive literature searches. Reactions were manually curated to ensure correct stoichiometry and use of realistic cofactors.

Model versions:
The original paper described a model with 436 metabolites and 720 reactions. ''i''JE660 is listed as GSMN006 at the GSMNDB [[http://202.113.12.55/MyGSMNDB/Models/GSMN006-Escherichia%20coli.htm]], with 627 reactions and 438 reactions. A third version with 739 reactions, called iJE660a (Formerly Version 1.01), was also available previously from http://systemsbiology.ucsd.edu/InSilicoOrganisms/Ecoli/EcoliSBML but now appears to be unavailable.

=== ''i''JR904 ===
In 2003, the ''i''JE660 network was updated to form ''i''JR904<ref name='PMID:12952533'/>. This model is significantly expanded, containing 904 genes, 931 compartments, and 625 metabolites. ''i''JR904 contains explicit gene-protein-reaction interactions, Boolean rules that define which genes are required for each reaction. Reactions were checked for proper charge balancing, and gaps in the model were identified and filled when possible.

=== ''i''AF1260 ===
The next update to the ''E. coli'' genome-scale metabolic model was ''i''AF1260, published in 2007<ref name='PMID:17593909'/>. The total number of genes increased to 1260, along with increases to 2077 reactions and 1039 unique metabolites. The scope of the network was expanded, explicitly accounting for periplasmic reactions and metabolites. The model was reconciled with the lastest version of the [http://www.ecocyc.org/ EcoCyc] database, and thermodynamic analysis was performed to predict the reversibility of reactions. ''i''AF1260 and its predecessors have been used in studies of metabolic engineering, biological discovery, phenotypic behavior, network analysis, and bacterial evolution<ref name='PMID:18536691'/>.

=== ''i''JO1366 ===
The latest version of the ''E. coli'' metabolic network model was published in 2011 and named ''i''JO1366 <ref name='PMID:21988831'/>. The model was expanded again, this time containing 2251 reactions, 1136 unique metabolites, and accounting for 1366 genes. Newly characterized reactions and pathways were added, and the scope of the model was increased to include biosynthetic pathways for for cofactors such as iron-sulfur clusters and molybdenum cofactors. The biomass reaction was updated and the growth and non-growth associated maintenance parameters were recalculated. As the latest version of the ''E. coli'' metabolic model, ''i''JO1366 continues to be updated as new discoveries are made.

=== ''E. coli'' core model ===
The core ''E. coli'' model is a small-scale model of the central metabolism of ''E. coli''. It is a modified subset of the ''i''AF1260 model, and contains 134 genes, 95 reactions, and 72 metabolites. This model is used for educational purposes, since the results of most constraint-based calculations are easier to interpret on this smaller scale. It is also useful for testing new constraint-based analysis methods.

== Links ==
''i''JR904, ''i''AF1260, and ''i''JO1366 are available from the [http://bigg.ucsd.edu/ BiGG] database.

The core ''E. coli'' model is available [http://systemsbiology.ucsd.edu/Downloads/E_coli_Core here].

The COBRA Toolbox, a Matlab toolbox for analyzing constraint-based models, is available [http://systemsbiology.ucsd.edu/Downloads/Cobra_Toolbox here].

== References ==
{{RefHelp}}
<references/>
[[Category:Bioinformatics Tools]]

Category:Strain:BW25113

2013-06-05T17:50:29Z

Jarlemag: /* Notes */

{{See|Help:Strains|strains}}
<protect>

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||

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||

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||

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!align=left {{table_heading_style}} |Plasmids
||

|-
!align=left {{table_heading_style}} |Phage
||

|-
!align=left {{table_heading_style}} |Sources
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||

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</protect>

== Notes ==
BW25113 is a derivative of the F-, λ-, ''E. coli'' K-12 strain [http://cgsc2.biology.yale.edu/Strain.php?ID=7024 BD792 (CGSC6159)]<ref name='PMID:10829079'/>, which is a derivative of ''E. coli'' K-12 W1485. According to the CGSC, BD792 carries ''rpoS396''(Am), but this mutation is not listed in the published genotype for BW25113, as according to Baba 2006 <ref name=PMID:16738554/>, a pseudoreversion rpoS (Q33) allele was transferred from MG1655 into a predecessor of BW25113.

BW25113 was used to make the Keio Collection of single-gene knockouts. <ref name=PMID:16738554/>
<ref name=PMID:10829079/> Available from the Coli Genetics Stock Center: [http://cgsc2.biology.yale.edu/Strain.php?ID=64667 CGSC#7636]
The genotype for BW25113 in Datsenko et al. <ref name=PMID:10829079/> said the strain is lacIQ, but it was later shown to be lacI+ Baba et al. (Supplementary Table 1)<ref name=PMID:16738554/>.

According to the CGSC, ''lacZ4787(del)'' has 4 tandem copies of the rrnB transcriptional terminator inserted by gene replacement into the region extending from near the SacII site near the N-terminus of ''lacZ'' through the promoter.

==References==
{{RefHelp}}
<references/>

__NOTOC__
[[Category:Strains]]

[[Category:Strain:W1485]]