Operon: Difference between revisions
Brian Blank (talk | contribs) No edit summary |
m (Robot: Automated text replacement (-{{WikiDoc Cardiology Network Infobox}} +, -<references /> +{{reflist|2}}, -{{reflist}} +{{reflist|2}})) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
{{SI}} | {{SI}} | ||
==Overview== | ==Overview== | ||
An '''operon''' is a functioning unit of key [[nucleotide]] sequences including an [[operator (biology)|operator]], a common [[promoter]], and one or more structural [[genes]], which is controlled as a unit to produce [[mRNA|messenger RNA]] (mRNA), in the process of protein [[transcription (genetics)|transcription]]. | An '''operon''' is a functioning unit of key [[nucleotide]] sequences including an [[operator (biology)|operator]], a common [[promoter]], and one or more structural [[genes]], which is controlled as a unit to produce [[mRNA|messenger RNA]] (mRNA), in the process of protein [[transcription (genetics)|transcription]]. | ||
| Line 71: | Line 71: | ||
==References== | ==References== | ||
{{reflist}} | {{reflist|2}} | ||
{{Transcription}} | {{Transcription}} | ||
[[Category:Gene expression]] | [[Category:Gene expression]] | ||
{{WikiDoc Sources}} | {{WikiDoc Sources}} | ||
{{WH}} | {{WH}} | ||
Latest revision as of 20:26, 4 September 2012
|
WikiDoc Resources for Operon |
|
Articles |
|---|
|
Media |
|
Evidence Based Medicine |
|
Clinical Trials |
|
Ongoing Trials on Operon at Clinical Trials.gov Clinical Trials on Operon at Google
|
|
Guidelines / Policies / Govt |
|
US National Guidelines Clearinghouse on Operon
|
|
Books |
|
News |
|
Commentary |
|
Definitions |
|
Patient Resources / Community |
|
Directions to Hospitals Treating Operon Risk calculators and risk factors for Operon
|
|
Healthcare Provider Resources |
|
Continuing Medical Education (CME) |
|
International |
|
|
|
Business |
|
Experimental / Informatics |
Overview
An operon is a functioning unit of key nucleotide sequences including an operator, a common promoter, and one or more structural genes, which is controlled as a unit to produce messenger RNA (mRNA), in the process of protein transcription.
Overview
Operons occur primarily in prokaryotes but also in some eukaryotes, including nematodes. Although it may not be located in the operon gene, a "Regulator" gene is present which codes for the production of a repressor or corepressor protein. The location and condition of the regulator, promoter, operator and structural DNA sequences can determine the effects of common mutations.
The first operon to be described was the lac-operon in Escherichia coli, by F. Jacob, D. Perrin, C. Sanchez and J. Monod in the "Comptes rendus hebdomadaires des séances de l'Académie des sciences" in 1960[2].
Operons are related to regulons and stimulons. Whereas operons contain a set of genes regulated by the same operator, regulons contain a set of genes under regulation by a single regulatory protein, and stimulons contain a set of genes under regulation by a single cell stimulus.
The operon as a unit of transcription
An operon contains one or more structural genes which are transcribed into one polycistronic mRNA: a single mRNA molecule that codes for more than one protein. Upstream of the structural genes lies a promoter sequence which provides a site for RNA polymerase to bind and initiate transcription. Close to the promoter lies a section of DNA called an operator. The operon may also contain regulatory genes such as a repressor gene which codes for a regulatory protein that binds to the operator and inhibits transcription. Regulatory genes need not be part of the operon itself, but may be located elsewhere in the genome. The repressor molecule will reach the operator to block the transcription of the structural genes.
Promoter
- Main article: promoter.
A promoter is a DNA sequence that enables a gene to be transcribed. The promoter is recognized by RNA polymerase, which then initiates transcription. In RNA synthesis, promoters indicate which genes should be used for messenger RNA creation - and, by extension, control which proteins the cell manufactures.
Operator
An operator is a segment of DNA which regulates the activity of the structural genes of the operon that it is linked to, by interacting with a specific repressor or activator. It is a regulatory sequence for shutting a gene down or turning it "on".
Operon gene regulation
Control of operon genes is a type of gene regulation that enables organisms to regulate the expression of various genes depending on environmental conditions. Operon regulation can be either negative or positive.
Negative regulation involves the binding of a repressor to the operator to prevent transcription.
- In negative inducible operons, a regulatory repressor protein is normally bound to the operator and it prevents the transcription of the genes on the operon. If an inducer molecule is present, it binds to the repressor and changes its conformation so that it is unable to bind to the operator. This allows for the transcription of the genes on the operator.
- In negative repressible operons, transcription of the genes on the operon normally takes place. Repressor proteins are produced by a regulator gene but they are unable to bind to the operator in their normal conformation. However certain molecules called corepressors can bind to the repressor protein and change its conformation so that it can bind to the operator. The activated repressor protein binds to the operator and prevents transcription.
Operons can also be positively controlled. With positive control, an activator protein stimulates transcription by binding to DNA (usually at a site other than the operator).
- In positive inducible operons, activator proteins are normally unable to bind to the pertinent DNA. However, certain substrate molecules can bind to the activator proteins and change their conformations so that they can bind to the DNA and enable transcription to take place.
- In positive repressible operons, the activator proteins are normally bound to the pertinent DNA segment. However, certain molecules can bind to the activator and prevent it from binding to DNA. This prevents transcription.
The lac operon
- Main article: lac operon.
The lac operon of the model bacterium Escherichia coli was the first operon to be discovered and provides a typical example of operon function. It consists of three adjacent structural genes, a promoter, a terminator, and an operator. The lac operon is regulated by several factors including the availability of glucose and lactose.
The trp operon
- Main article: trp operon.
Discovered in 1953 by Jacques Monod and colleagues, the trp operon in E. coli was the first repressible operon to be discovered. While the lac operon can be activated by a chemical (lactose), the tryptophan (Trp) operon is inhibited by a chemical (tryptophan). This operon contains five structural genes: trp E, trp D, trp C, trp B, and trp A, which encodes tryptophan synthetase. It also contains a promoter which binds to RNA polymerase and an operator which blocks transcription when bound to the protein synthesized by the repressor gene (trp R) that binds to the operator. In the lac operon, lactose binds to the repressor protein and prevents it from repressing gene transcription, while in the trp operon, tryptophan binds to the repressor protein and enables it to repress gene transcription. Also different between the trp operon and the lac operon, the trp operon contains a leader peptide and an attenuator sequence which allows for graded regulation.[1]
Predicting the number and organization of operons
The number and organization of operons has been studied most critically in E. coli. As a result, predictions can be made based on an organism's genomic sequence.
One prediction method uses the intergenic distance between reading frames as a primary predictor of the number of operons in the genome. The separation merely changes the frame and guarantees that the read through is efficient. Longer stretches exist where operons start and stop, often up to 40-50 bases [2].
Operon prediction is even more accurate if the functional class of the molecules is considered. Bacteria have clustered their reading frames into units, sequestered by co-involvement in protein complexes, common pathways, or shared substrates and transporters. Thus, accurate prediction would involve all of these data, a difficult task indeed.