Genetic code

"Codon" redirects here. For the plant genus, see Codon (genus).
A series of codons in part of a messenger RNA (mRNA) molecule. Each codon consists of three nucleotides, usually corresponding to a single amino acid. The nucleotides are abbreviated with the letters A, U, G and C. This is mRNA, which uses U (uracil). DNA uses T (thymine) instead. This mRNA molecule will instruct a ribosome to synthesize a protein according to this code.

The genetic code is the set of rules by which information encoded within genetic material (DNA or mRNA sequences) is translated into proteins by living cells. Translation is accomplished by the ribosome, which links amino acids in an order specified by mRNA, using transfer RNA (tRNA) molecules to carry amino acids and to read the mRNA three nucleotides at a time. The genetic code is highly similar among all organisms and can be expressed in a simple table with 64 entries.

The code defines how sequences of nucleotide triplets, called codons, specify which amino acid will be added next during protein synthesis. With some exceptions,[1] a three-nucleotide codon in a nucleic acid sequence specifies a single amino acid. Because the vast majority of genes are encoded with exactly the same code (see the RNA codon table), this particular code is often referred to as the canonical or standard genetic code, or simply the genetic code, though in fact some variant codes have evolved. For example, protein synthesis in human mitochondria relies on a genetic code that differs from the standard genetic code.

While the "genetic code" determines a protein's amino acid sequence, other genomic regions determine when and where these proteins are produced according to a multitude of more complex "gene regulatory codes".


The genetic code

Serious efforts to understand how proteins are encoded began after the structure of DNA was discovered in 1953. George Gamow postulated that sets of three bases must be employed to encode the 20 standard amino acids used by living cells to build proteins. With four different nucleotides, a code of 2 nucleotides would allow for only a maximum of 42 = 16 amino acids. A code of 3 nucleotides could code for a maximum of 43 = 64 amino acids.[2]

The Crick, Brenner et al. experiment first demonstrated that codons consist of three DNA bases; Marshall Nirenberg and Heinrich J. Matthaei were the first to elucidate the nature of a codon in 1961 at the National Institutes of Health. They used a cell-free system to translate a poly-uracil RNA sequence (i.e., UUUUU...) and discovered that the polypeptide that they had synthesized consisted of only the amino acid phenylalanine.[3] They thereby deduced that the codon UUU specified the amino acid phenylalanine. This was followed by experiments in Severo Ochoa's laboratory that demonstrated that the poly-adenine RNA sequence (AAAAA...) coded for the polypeptide poly-lysine[4] and that the poly-cytosine RNA sequence (CCCCC...) coded for the polypeptide poly-proline.[5] Therefore, the codon AAA specified the amino acid lysine, and the codon CCC specified the amino acid proline. Using different copolymers most of the remaining codons were then determined. Subsequent work by Har Gobind Khorana identified the rest of the genetic code. Shortly thereafter, Robert W. Holley determined the structure of transfer RNA (tRNA), the adapter molecule that facilitates the process of translating RNA into protein. This work was based upon earlier studies by Severo Ochoa, who received the Nobel Prize in Physiology or Medicine in 1959 for his work on the enzymology of RNA synthesis.[6]

Extending this work, Nirenberg and Philip Leder revealed the triplet nature of the genetic code and deciphered the codons of the standard genetic code. In these experiments, various combinations of mRNA were passed through a filter that contained ribosomes, the components of cells that translate RNA into protein. Unique triplets promoted the binding of specific tRNAs to the ribosome. Leder and Nirenberg were able to determine the sequences of 54 out of 64 codons in their experiments.[7] In 1968, Khorana, Holley and Nirenberg received the Nobel Prize in Physiology or Medicine for their work.[8]


Reading frame

A codon is defined by the initial nucleotide from which translation starts and sets the frame for a run of uninterrupted triplets, which is known as an "open reading frame" (ORF). For example, the string GGGAAACCC, if read from the first position, contains the codons GGG, AAA, and CCC; and, if read from the second position, it contains the codons GGA and AAC; if read starting from the third position, GAA and ACC. Every sequence can, thus, be read in its 5' → 3' direction in three reading frames, each of which will produce a different amino acid sequence (in the given example, Gly-Lys-Pro, Gly-Asn, or Glu-Thr, respectively). With double-stranded DNA, there are six possible reading frames, three in the forward orientation on one strand and three reverse on the opposite strand.[9]:330 The actual frame from which a protein sequence is translated is defined by a start codon, usually the first AUG codon in the mRNA sequence.

In eukaryotes, ORFs in exons are often interrupted by introns.

Start/stop codons

Translation starts with a chain initiation codon or start codon. Unlike stop codons, the codon alone is not sufficient to begin the process. Nearby sequences such as the Shine-Dalgarno sequence in E. coli and initiation factors are also required to start translation. The most common start codon is AUG, which is read as methionine or, in bacteria, as formylmethionine. Alternative start codons depending on the organism include "GUG" or "UUG"; these codons normally represent valine and leucine, respectively, but as start codons they are translated as methionine or formylmethionine.[10]

The three stop codons have been given names: UAG is amber, UGA is opal (sometimes also called umber), and UAA is ochre. "Amber" was named by discoverers Richard Epstein and Charles Steinberg after their friend Harris Bernstein, whose last name means "amber" in German.[11] The other two stop codons were named "ochre" and "opal" in order to keep the "color names" theme. Stop codons are also called "termination" or "nonsense" codons. They signal release of the nascent polypeptide from the ribosome because there is no cognate tRNA that has anticodons complementary to these stop signals, and so a release factor binds to the ribosome instead.[12]

Effect of mutations

Examples of notable mutations that can occur in humans.[13]

During the process of DNA replication, errors occasionally occur in the polymerization of the second strand. These errors, called mutations, can affect the phenotype of an organism, especially if they occur within the protein coding sequence of a gene. Error rates are usually very low—1 error in every 10–100 million bases—due to the "proofreading" ability of DNA polymerases.[14][15]

Missense mutations and nonsense mutations are examples of point mutations, which can cause genetic diseases such as sickle-cell disease and thalassemia respectively.[16][17][18] Clinically important missense mutations generally change the properties of the coded amino acid residue between being basic, acidic, polar or non-polar, whereas nonsense mutations result in a stop codon.[9]:266

Mutations that disrupt the reading frame sequence by indels (insertions or deletions) of a non-multiple of 3 nucleotide bases are known as frameshift mutations. These mutations usually result in a completely different translation from the original, and are also very likely to cause a stop codon to be read, which truncates the creation of the protein.[19] These mutations may impair the function of the resulting protein, and are thus rare in in vivo protein-coding sequences. One reason inheritance of frameshift mutations is rare is that, if the protein being translated is essential for growth under the selective pressures the organism faces, absence of a functional protein may cause death before the organism is viable.[20] Frameshift mutations may result in severe genetic diseases such as Tay-Sachs disease.[21]

Although most mutations that change protein sequences are harmful or neutral, some mutations have a beneficial effect on an organism.[22] These mutations may enable the mutant organism to withstand particular environmental stresses better than wild type organisms, or reproduce more quickly. In these cases a mutation will tend to become more common in a population through natural selection.[23] Viruses that use RNA as their genetic material have rapid mutation rates,[24] which can be an advantage, since these viruses will evolve constantly and rapidly, and thus evade the defensive responses of e.g. the human immune system.[25] In large populations of asexually reproducing organisms, for example, E. coli, multiple beneficial mutations may co-occur. This phenomenon is called clonal interference and causes competition among the mutations.[26]


Main article: Codon degeneracy

Degeneracy is the redundancy of the genetic code. This term was given by Bernfield and Nirenberg. The genetic code has redundancy but no ambiguity (see the codon tables below for the full correlation). For example, although codons GAA and GAG both specify glutamic acid (redundancy), neither of them specifies any other amino acid (no ambiguity). The codons encoding one amino acid may differ in any of their three positions. For example, the amino acid leucine is specified by YUR or CUN (UUA, UUG, CUU, CUC, CUA, or CUG) codons (difference in the first or third position indicated using IUPAC notation), while the amino acid serine is specified by UCN or AGY (UCA, UCG, UCC, UCU, AGU, or AGC) codons (difference in the first, second, or third position).[27]:102–117 :521–522 A practical consequence of redundancy is that errors in the third position of the triplet codon cause only a silent mutation or an error that would not affect the protein because the hydrophilicity or hydrophobicity is maintained by equivalent substitution of amino acids; for example, a codon of NUN (where N = any nucleotide) tends to code for hydrophobic amino acids. NCN yields amino acid residues that are small in size and moderate in hydropathy; NAN encodes average size hydrophilic residues. The genetic code is so well-structured for hydropathy that a mathematical analysis (Singular Value Decomposition) of 12 variables (4 nucleotides x 3 positions) yields a remarkable correlation (C = 0.95) for predicting the hydropathy of the encoded amino acid directly from the triplet nucleotide sequence, without translation.[28][29] Note in the table, below, eight amino acids are not affected at all by mutations at the third position of the codon, whereas in the figure above, a mutation at the second position is likely to cause a radical change in the physicochemical properties of the encoded amino acid.

Grouping of codons by amino acid residue molar volume and hydropathy. A more detailed version is available.

Codon usage bias

The frequency of codons, also known as codon usage bias, can vary from species to species with functional implications for the control of translation. The following codon usage table is for the human genome.[30]

Human genome codon frequency
Codon AA Fraction Freq Number Codon AA Fraction Freq Number Codon AA Fraction Freq Number Codon AA Fraction Freq Number


While slight variations on the standard code had been predicted earlier,[31] none were discovered until 1979, when researchers studying human mitochondrial genes discovered they used an alternative code.[32] Many slight variants have been discovered since then,[33] including various alternative mitochondrial codes,[34] and small variants such as translation of the codon UGA as tryptophan in Mycoplasma species, and translation of CUG as a serine rather than a leucine in yeasts of the "CTG clade" (Candida albicans is member of this group).[35][36][37] Because viruses must use the same genetic code as their hosts, modifications to the standard genetic code could interfere with the synthesis or functioning of viral proteins.[38] However, some viruses (such as totiviruses) have adapted to the genetic code modification of the host.[39] In bacteria and archaea, GUG and UUG are common start codons, but in rare cases, certain proteins may use alternative start codons not normally used by that species.[33]

In certain proteins, non-standard amino acids are substituted for standard stop codons, depending on associated signal sequences in the messenger RNA. For example, UGA can code for selenocysteine and UAG can code for pyrrolysine. Selenocysteine is now viewed as the 21st amino acid, and pyrrolysine is viewed as the 22nd.[33] Unlike selenocysteine, pyrrolysine encoded UAG is translated with the participation of a dedicated aminoacyl-tRNA synthetase.[40] Both selenocysteine and pyrrolysine may be present in the same organism.[41] Although the genetic code is normally fixed in an organism, the achaeal prokaryote Acetohalobium arabaticum can expand its genetic code from 20 to 21 amino acids (by including pyrrolysine) under different conditions of growth.[42]

Despite these differences, all known naturally-occurring codes are very similar to each other, and the coding mechanism is the same for all organisms: three-base codons, tRNA, ribosomes, reading the code in the same direction and translating the code three letters at a time into sequences of amino acids.

Genetic code logo of the Globobulimina pseudospinescens mitochondrial genome. The logo shows the 64 codons from left to right, predicted alternatives in red (relative to the standard genetic code). Red line: stop codons. The height of each amino acid in the stack shows how often it is aligned to the codon in homologous protein domains. The stack height indicates the support for the prediction.

Variant genetic codes used by an organism can be inferred by identifying highly conserved genes encoded in that genome, and comparing its codon usage to the amino acids in homologous proteins of other organisms. For example, the program FACIL[43] infers a genetic code by searching which amino acids in homologous protein domains are most often aligned to every codon. The resulting amino acid probabilities for each codon are displayed in a genetic code logo, that also shows the support for a stop codon.

RNA codon table

nonpolar polar basic acidic (stop codon)
Standard genetic code
2nd base 3rd
U UUU (Phe/F) Phenylalanine UCU (Ser/S) Serine UAU (Tyr/Y) Tyrosine UGU (Cys/C) Cysteine U
UUA (Leu/L) Leucine UCA UAA Stop (Ochre) UGA Stop (Opal) A
UUG UCG UAG Stop (Amber) UGG (Trp/W) Tryptophan     G
C CUU CCU (Pro/P) Proline CAU (His/H) Histidine CGU (Arg/R) Arginine U
CUA CCA CAA (Gln/Q) Glutamine CGA A
A AUU (Ile/I) Isoleucine ACU (Thr/T) Threonine         AAU (Asn/N) Asparagine AGU (Ser/S) Serine U
AUA ACA AAA (Lys/K) Lysine AGA (Arg/R) Arginine A
AUG[A] (Met/M) Methionine ACG AAG AGG G
G GUU (Val/V) Valine GCU (Ala/A) Alanine GAU (Asp/D) Aspartic acid GGU (Gly/G) Glycine U
GUA GCA GAA (Glu/E) Glutamic acid GGA A
A The codon AUG both codes for methionine and serves as an initiation site: the first AUG in an mRNA's coding region is where translation into protein begins.[44]
Inverse table (compressed using IUPAC notation)
Amino acid Codons Compressed Amino acid Codons Compressed

DNA codon table

Main article: DNA codon table

The DNA codon table is essentially identical to that for RNA, but with U replaced by T.


The origin of the genetic code is a part of the question of the origin of life. Under the main hypothesis for the origin of life, the RNA world hypothesis, any model for the emergence of genetic code is intimately related to a model of the transfer from ribozymes (RNA enzymes) to proteins as the principal enzymes in cells. In line with the RNA world hypothesis, transfer RNA molecules appear to have evolved before modern aminoacyl-tRNA synthetases, so the latter cannot be part of the explanation of its patterns.[45]

A consideration of a hypothetical random genetic code further motivates a biochemical or evolutionary model for the origin of the genetic code. If amino acids were randomly assigned to triplet codons, there would be 1.5 × 1084 possible genetic codes to choose from.[46]:163 This number is found by calculating how many ways there are to place 21 items (20 amino acids plus one stop) in 64 bins, wherein each item is used at least once. In fact, the distribution of codon assignments in the genetic code is nonrandom.[47] In particular, the genetic code clusters certain amino acid assignments. For example, amino acids that share the same biosynthetic pathway tend to have the same first base in their codons. This could be an evolutionary relic of early simpler genetic code with fewer amino acids, that later diverged to code for a larger set of amino acids.[48] It could also reflect steric and chemical properties that had another effect on the codon during its evolution. Amino acids with similar physical properties also tend to have similar codons,[49][50] reducing the problems caused by point mutations and mistranslations.[47]

Given the non-random genetic triplet coding scheme, it has been suggested that a tenable hypothesis for the origin of genetic code should address multiple aspects of the codon table such as absence of codons for D-amino acids, secondary codon patterns for some amino acids, confinement of synonymous positions to third position, a limited set of only 20 amino acids instead of a number closer to 64, and the relation of stop codon patterns to amino acid coding patterns.[51]

There are three main ideas for the origin of the genetic code, and many models belong to either one of them or to a combination thereof:[52]

  1. "Frozen accident": the genetic code has been randomly created. For example, early tRNA-like ribozymes may have had different affinities for amino acids, with codons emerging from another part of the ribozyme which exhibited random variability. Once enough peptides were coded for, any major random change in the genetic code would have been lethal, hence it is "frozen".[53]
  2. Stereochemical affinity: the genetic code is a result of a high affinity between each amino acid and its codon or anti-codon; the latter option implies that pre-tRNA molecules matched their corresponding amino acids by this affinity. Later during evolution, this matching has been gradually replaced with the one performed today by aminoacyl-tRNA synthetases.[51][54][55]
  3. Optimality: the genetic code continued to evolve after its initial creation, so that the current code reflects adaptation that maximizes some fitness function, usually some kind of error minimization.[51][52]

Hypotheses for the origin of the genetic code have addressed a variety of scenarios:[56]

Expanded genetic codes (synthetic biology)

Main article: Expanded genetic code

Since 2001, 40 non-natural amino acids have been added into protein by creating a unique codon (recoding) and a corresponding transfer-RNA:aminoacyl – tRNA-synthetase pair to encode it with diverse physicochemical and biological properties in order to be used as a tool to exploring protein structure and function or to create novel or enhanced proteins.[71] [72]

H. Murakami and M. Sisido have extended some codons to have four and five bases. Steven A. Benner constructed a functional 65th (in vivo) codon.[73]


  1. Turanov AA, Lobanov AV, Fomenko DE, Morrison HG, Sogin ML, Klobutcher LA, Hatfield DL, Gladyshev VN (Jan 2009). "Genetic code supports targeted insertion of two amino acids by one codon". Science. 323 (5911): 259–61. doi:10.1126/science.1164748. PMC 3088105Freely accessible. PMID 19131629.
  2. Crick F (1988). "Chapter 8: The genetic code". What mad pursuit: a personal view of scientific discovery. New York: Basic Books. pp. 89–101. ISBN 0-465-09138-5.
  3. Nirenberg MW, Matthaei JH (Oct 1961). "The dependence of cell-free protein synthesis in E. coli upon naturally occurring or synthetic polyribonucleotides". Proceedings of the National Academy of Sciences of the United States of America. 47 (10): 1588–602. Bibcode:1961PNAS...47.1588N. doi:10.1073/pnas.47.10.1588. PMC 223178Freely accessible. PMID 14479932.
  4. Gardner RS, Wahba AJ, Basilio C, Miller RS, Lengyel P, Speyer JF (Dec 1962). "Synthetic polynucleotides and the amino acid code. VII". Proceedings of the National Academy of Sciences of the United States of America. 48 (12): 2087–94. Bibcode:1962PNAS...48.2087G. doi:10.1073/pnas.48.12.2087. PMC 221128Freely accessible. PMID 13946552.
  5. Wahba AJ, Gardner RS, Basilio C, Miller RS, Speyer JF, Lengyel P (Jan 1963). "Synthetic polynucleotides and the amino acid code. VIII". Proceedings of the National Academy of Sciences of the United States of America. 49 (1): 116–22. Bibcode:1963PNAS...49..116W. doi:10.1073/pnas.49.1.116. PMC 300638Freely accessible. PMID 13998282.
  6. "The Nobel Prize in Physiology or Medicine 1959" (Press release). The Royal Swedish Academy of Science. 1959. Retrieved 2010-02-27. The Nobel Prize in Physiology or Medicine 1959 was awarded jointly to Severo Ochoa and Arthur Kornberg 'for their discovery of the mechanisms in the biological synthesis of ribonucleic acid and deoxyribonucleic acid'.
  7. Nirenberg M, Leder P, Bernfield M, Brimacombe R, Trupin J, Rottman F, O'Neal C (May 1965). "RNA codewords and protein synthesis, VII. On the general nature of the RNA code". Proceedings of the National Academy of Sciences of the United States of America. 53 (5): 1161–8. Bibcode:1965PNAS...53.1161N. doi:10.1073/pnas.53.5.1161. PMC 301388Freely accessible. PMID 5330357.
  8. "The Nobel Prize in Physiology or Medicine 1968" (Press release). The Royal Swedish Academy of Science. 1968. Retrieved 2010-02-27. The Nobel Prize in Physiology or Medicine 1968 was awarded jointly to Robert W. Holley, Har Gobind Khorana and Marshall W. Nirenberg 'for their interpretation of the genetic code and its function in protein synthesis'.
  9. 1 2 Mulligan PK, King RC, Stansfield WD (2006). A dictionary of genetics. Oxford [Oxfordshire]: Oxford University Press. p. 608. ISBN 0-19-530761-5.
  10. Touriol C, Bornes S, Bonnal S, Audigier S, Prats H, Prats AC, Vagner S (2003). "Generation of protein isoform diversity by alternative initiation of translation at non-AUG codons". Biology of the Cell / Under the Auspices of the European Cell Biology Organization. 95 (3–4): 169–78. doi:10.1016/S0248-4900(03)00033-9. PMID 12867081.
  11. Edgar B (Oct 2004). "The genome of bacteriophage T4: an archeological dig". Genetics. 168 (2): 575–82. PMC 1448817Freely accessible. PMID 15514035.
  12. Maloy S (2003-11-29). "How nonsense mutations got their names". Microbial Genetics Course. San Diego State University. Retrieved 2010-03-10.
  13. References for the image are found in Wikimedia Commons page at: Commons:File:Notable mutations.svg#References.
  14. Griffiths AJ, Miller JH, Suzuki DT, Lewontin RC, et al., eds. (2000). "Spontaneous mutations". An Introduction to Genetic Analysis (7th ed.). New York: W. H. Freeman. ISBN 0-7167-3520-2.
  15. Freisinger E, Grollman AP, Miller H, Kisker C (Apr 2004). "Lesion (in)tolerance reveals insights into DNA replication fidelity". The EMBO Journal. 23 (7): 1494–505. doi:10.1038/sj.emboj.7600158. PMC 391067Freely accessible. PMID 15057282.
  16. (Boillée 2006, p. 39)
  17. Chang JC, Kan YW (Jun 1979). "beta 0 thalassemia, a nonsense mutation in man". Proceedings of the National Academy of Sciences of the United States of America. 76 (6): 2886–9. Bibcode:1979PNAS...76.2886C. doi:10.1073/pnas.76.6.2886. PMC 383714Freely accessible. PMID 88735.
  18. Boillée S, Vande Velde C, Cleveland DW (Oct 2006). "ALS: a disease of motor neurons and their nonneuronal neighbors". Neuron. 52 (1): 39–59. doi:10.1016/j.neuron.2006.09.018. PMID 17015226.
  19. Isbrandt D, Hopwood JJ, von Figura K, Peters C (1996). "Two novel frameshift mutations causing premature stop codons in a patient with the severe form of Maroteaux-Lamy syndrome". Human Mutation. 7 (4): 361–3. doi:10.1002/(SICI)1098-1004(1996)7:4<361::AID-HUMU12>3.0.CO;2-0. PMID 8723688.
  20. Crow JF (1993). "How much do we know about spontaneous human mutation rates?". Environmental and Molecular Mutagenesis. 21 (2): 122–9. doi:10.1002/em.2850210205. PMID 8444142.
  21. Lewis R (2005). Human Genetics: Concepts and Applications (6th ed.). Boston, Mass: McGraw Hill. pp. 227–228. ISBN 0-07-111156-5.
  22. Sawyer SA, Parsch J, Zhang Z, Hartl DL (Apr 2007). "Prevalence of positive selection among nearly neutral amino acid replacements in Drosophila". Proceedings of the National Academy of Sciences of the United States of America. 104 (16): 6504–10. Bibcode:2007PNAS..104.6504S. doi:10.1073/pnas.0701572104. PMC 1871816Freely accessible. PMID 17409186.
  23. Bridges KR (2002). "Malaria and the Red Cell". Harvard.
  24. Drake JW, Holland JJ (Nov 1999). "Mutation rates among RNA viruses". Proceedings of the National Academy of Sciences of the United States of America. 96 (24): 13910–3. Bibcode:1999PNAS...9613910D. doi:10.1073/pnas.96.24.13910. PMC 24164Freely accessible. PMID 10570172.
  25. Holland J, Spindler K, Horodyski F, Grabau E, Nichol S, VandePol S (Mar 1982). "Rapid evolution of RNA genomes". Science. 215 (4540): 1577–85. Bibcode:1982Sci...215.1577H. doi:10.1126/science.7041255. PMID 7041255.
  26. de Visser JA, Rozen DE (Apr 2006). "Clonal interference and the periodic selection of new beneficial mutations in Escherichia coli". Genetics. 172 (4): 2093–100. doi:10.1534/genetics.105.052373. PMC 1456385Freely accessible. PMID 16489229.
  27. Watson JD, Baker TA, Bell SP, Gann A, Levine M, Oosick R (2008). Molecular Biology of the Gene. San Francisco: Pearson/Benjamin Cummings. ISBN 0-8053-9592-X.
  28. Yang et al. (1990) in Michel-Beyerle, M. E., ed. Reaction centers of photosynthetic bacteria: Feldafing-II-Meeting 6. Berlin: Springer-Verlag. pp. 209–18. ISBN 3-540-53420-2.
  29. Füllen G, Youvan DC (1994). "Genetic Algorithms and Recursive Ensemble Mutagenesis in Protein Engineering". Complexity International 1.
  31. Crick FH, Orgel LE (1973). "Directed panspermia". Icarus. 19 (3): 341–6, 344. Bibcode:1973Icar...19..341C. doi:10.1016/0019-1035(73)90110-3. It is a little surprising that organisms with somewhat different codes do not coexist. (Further discussion)
  32. Barrell BG, Bankier AT, Drouin J (1979). "A different genetic code in human mitochondria". Nature. 282 (5735): 189–194. doi:10.1038/282189a0. ()
  33. 1 2 3 Elzanowski A, Ostell J (2008-04-07). "The Genetic Codes". National Center for Biotechnology Information (NCBI). Retrieved 2010-03-10.
  34. Jukes TH, Osawa S (Dec 1990). "The genetic code in mitochondria and chloroplasts". Experientia. 46 (11–12): 1117–26. doi:10.1007/BF01936921. PMID 2253709.
  35. Fitzpatrick DA, Logue ME, Stajich JE, Butler G (1 January 2006). "A fungal phylogeny based on 42 complete genomes derived from supertree and combined gene analysis". BMC Evolutionary Biology. 6: 99. doi:10.1186/1471-2148-6-99. PMC 1679813Freely accessible. PMID 17121679.
  36. Santos MA, Tuite MF (May 1995). "The CUG codon is decoded in vivo as serine and not leucine in Candida albicans". Nucleic Acids Research. 23 (9): 1481–6. doi:10.1093/nar/23.9.1481. PMC 306886Freely accessible. PMID 7784200.
  37. Butler G, Rasmussen MD, Lin MF, et al. (Jun 2009). "Evolution of pathogenicity and sexual reproduction in eight Candida genomes". Nature. 459 (7247): 657–62. Bibcode:2009Natur.459..657B. doi:10.1038/nature08064. PMC 2834264Freely accessible. PMID 19465905.
  38. Witzany, G (2016) Crucial steps to life: From chemical reactions to code using agents. Biosystems 140: 49–57. doi: 10.1016/j.biosystems.2015.12.007. PMID 26723230
  39. Taylor DJ, Ballinger MJ, Bowman SM, Bruenn JA (2013). "Virus-host co-evolution under a modified nuclear genetic code". PeerJ. 1: e50. doi:10.7717/peerj.50. PMC 3628385Freely accessible. PMID 23638388.
  40. Krzycki JA (Dec 2005). "The direct genetic encoding of pyrrolysine". Current Opinion in Microbiology. 8 (6): 706–12. doi:10.1016/j.mib.2005.10.009. PMID 16256420.
  41. Zhang Y, Baranov PV, Atkins JF, Gladyshev VN (May 2005). "Pyrrolysine and selenocysteine use dissimilar decoding strategies". The Journal of Biological Chemistry. 280 (21): 20740–51. doi:10.1074/jbc.M501458200. PMID 15788401.
  42. Prat L, Heinemann IU, Aerni HR, Rinehart J, O'Donoghue P, Söll D (Dec 2012). "Carbon source-dependent expansion of the genetic code in bacteria". Proceedings of the National Academy of Sciences of the United States of America. 109 (51): 21070–5. Bibcode:2012PNAS..10921070P. doi:10.1073/pnas.1218613110. PMC 3529041Freely accessible. PMID 23185002.
  43. Dutilh BE, Jurgelenaite R, Szklarczyk R, van Hijum SA, Harhangi HR, Schmid M, de Wild B, Françoijs KJ, Stunnenberg HG, Strous M, Jetten MS, Op den Camp HJ, Huynen MA (Jul 2011). "FACIL: Fast and Accurate Genetic Code Inference and Logo". Bioinformatics. 27 (14): 1929–33. doi:10.1093/bioinformatics/btr316. PMID 21653513.
  44. Nakamoto T (March 2009). "Evolution and the universality of the mechanism of initiation of protein synthesis". Gene. 432 (1–2): 1–6. doi:10.1016/j.gene.2008.11.001. PMID 19056476.
  45. Ribas de Pouplana L, Turner RJ, Steer BA, Schimmel P (Sep 1998). "Genetic code origins: tRNAs older than their synthetases?". Proceedings of the National Academy of Sciences of the United States of America. 95 (19): 11295–300. Bibcode:1998PNAS...9511295D. doi:10.1073/pnas.95.19.11295. PMC 21636Freely accessible. PMID 9736730.
  46. 1 2 Yarus M (2010). Life from an RNA World: The Ancestor Within. Cambridge: Harvard University Press. p. 163. ISBN 0-674-05075-4.
  47. 1 2 Freeland SJ, Hurst LD (Sep 1998). "The genetic code is one in a million". Journal of Molecular Evolution. 47 (3): 238–48. doi:10.1007/PL00006381. PMID 9732450.
  48. Taylor FJ, Coates D (1989). "The code within the codons". Bio Systems. 22 (3): 177–87. doi:10.1016/0303-2647(89)90059-2. PMID 2650752.
  49. Di Giulio M (Oct 1989). "The extension reached by the minimization of the polarity distances during the evolution of the genetic code". Journal of Molecular Evolution. 29 (4): 288–93. doi:10.1007/BF02103616. PMID 2514270.
  50. Wong JT (Feb 1980). "Role of minimization of chemical distances between amino acids in the evolution of the genetic code". Proceedings of the National Academy of Sciences of the United States of America. 77 (2): 1083–6. Bibcode:1980PNAS...77.1083W. doi:10.1073/pnas.77.2.1083. PMC 348428Freely accessible. PMID 6928661.
  51. 1 2 3 4 Erives A (Aug 2011). "A model of proto-anti-codon RNA enzymes requiring L-amino acid homochirality". Journal of Molecular Evolution. 73 (1–2): 10–22. doi:10.1007/s00239-011-9453-4. PMC 3223571Freely accessible. PMID 21779963.
  52. 1 2 Freeland SJ, Knight RD, Landweber LF, Hurst LD (Apr 2000). "Early fixation of an optimal genetic code". Molecular Biology and Evolution. 17 (4): 511–18. doi:10.1093/oxfordjournals.molbev.a026331. PMID 10742043.
  53. Crick FH (Dec 1968). "The origin of the genetic code". Journal of Molecular Evolution. 38 (3): 367–79. doi:10.1016/0022-2836(68)90392-6. PMID 4887876.
  54. Hopfield JJ (1978). "Origin of the genetic code: a testable hypothesis based on tRNA structure, sequence, and kinetic proofreading.". PNAS. 75: 4334–4338. doi:10.1073/pnas.75.9.4334. PMC 336109Freely accessible. PMID 279919.
  55. 1 2 Yarus M, Widmann JJ, Knight R (Nov 2009). "RNA-amino acid binding: a stereochemical era for the genetic code". Journal of Molecular Evolution. 69 (5): 406–29. doi:10.1007/s00239-009-9270-1. PMID 19795157.
  56. Knight RD, Freeland SJ, Landweber LF (Jun 1999). "Selection, history and chemistry: the three faces of the genetic code". Trends in Biochemical Sciences. 24 (6): 241–7. doi:10.1016/S0968-0004(99)01392-4. PMID 10366854.
  57. Knight RD, Landweber LF (Sep 1998). "Rhyme or reason: RNA-arginine interactions and the genetic code". Chemistry & Biology. 5 (9): R215–20. doi:10.1016/S1074-5521(98)90001-1. PMID 9751648.
  58. Sengupta S, Higgs PG (2015). "Pathways of genetic code evolution in ancient and modern organisms". Journal of Molecular Evolution. 80: 229–243. doi:10.1007/s00239-015-9686-8.
  59. Brooks DJ, Fresco JR, Lesk AM, Singh M (Oct 2002). "Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code". Molecular Biology and Evolution. 19 (10): 1645–55. doi:10.1093/oxfordjournals.molbev.a003988. PMID 12270892.
  60. Amirnovin R (May 1997). "An analysis of the metabolic theory of the origin of the genetic code". Journal of Molecular Evolution. 44 (5): 473–6. doi:10.1007/PL00006170. PMID 9115171.
  61. Ronneberg TA, Landweber LF, Freeland SJ (Dec 2000). "Testing a biosynthetic theory of the genetic code: fact or artifact?". Proceedings of the National Academy of Sciences of the United States of America. 97 (25): 13690–5. Bibcode:2000PNAS...9713690R. doi:10.1073/pnas.250403097. PMC 17637Freely accessible. PMID 11087835.
  62. 1 2 Freeland SJ, Wu T, Keulmann N (Oct 2003). "The case for an error minimizing standard genetic code". Origins of Life and Evolution of the Biosphere. 33 (4–5): 457–77. doi:10.1023/A:1025771327614. PMID 14604186.
  63. Baranov PV, Venin M, Provan G (2009). Gemmell NJ, ed. "Codon size reduction as the origin of the triplet genetic code". PLOS ONE. 4 (5): e5708. Bibcode:2009PLoSO...4.5708B. doi:10.1371/journal.pone.0005708. PMC 2682656Freely accessible. PMID 19479032.
  64. Tlusty T (Nov 2007). "A model for the emergence of the genetic code as a transition in a noisy information channel". Journal of Theoretical Biology. 249 (2): 331–42. doi:10.1016/j.jtbi.2007.07.029. PMID 17826800.
  65. Sonneborn TM (1965). Bryson V, Vogel H, eds. Evolving genes and proteins. New York: Academic Press. pp. 377–397.
  66. Tlusty T (Feb 2008). "Rate-distortion scenario for the emergence and evolution of noisy molecular codes". Physical Review Letters. 100 (4): 048101. arXiv:1007.4149Freely accessible. Bibcode:2008PhRvL.100d8101T. doi:10.1103/PhysRevLett.100.048101. PMID 18352335.
  67. Sella G, Ardell DH (Sep 2006). "The coevolution of genes and genetic codes: Crick's frozen accident revisited". Journal of Molecular Evolution. 63 (3): 297–313. doi:10.1007/s00239-004-0176-7. PMID 16838217.
  68. Tlusty T (Sep 2010). "A colorful origin for the genetic code: information theory, statistical mechanics and the emergence of molecular codes". Physics of Life Reviews. 7 (3): 362–76. arXiv:1007.3906Freely accessible. Bibcode:2010PhLRv...7..362T. doi:10.1016/j.plrev.2010.06.002. PMID 20558115.
  69. Jee J, Sundstrom A, Massey SE, Mishra B (Nov 2013). "What can information-asymmetric games tell us about the context of Crick's 'frozen accident'?". Journal of the Royal Society, Interface / the Royal Society. 10 (88): 20130614. doi:10.1098/rsif.2013.0614. PMC 3785830Freely accessible. PMID 23985735.
  70. Itzkovitz S, Alon U (2007). "The genetic code is nearly optimal for allowing additional information within protein-coding sequences". Genome Research. 17 (4): 405–412. doi:10.1101/gr.5987307.
  71. Xie J, Schultz PG (Dec 2005). "Adding amino acids to the genetic repertoire". Current Opinion in Chemical Biology. 9 (6): 548–54. doi:10.1016/j.cbpa.2005.10.011. PMID 16260173.
  72. Wang Q, Parrish AR, Wang L (Mar 2009). "Expanding the genetic code for biological studies". Chemistry & Biology. 16 (3): 323–36. doi:10.1016/j.chembiol.2009.03.001. PMC 2696486Freely accessible. PMID 19318213.
  73. Simon M (2005). Emergent computation: emphasizing bioinformatics. New York: AIP Press/Springer Science+Business Media. pp. 105–106. ISBN 0-387-22046-1.

Further reading

Wikimedia Commons has media related to Genetic code.

This article is issued from Wikipedia - version of the 10/17/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.