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Mutation rate

In genetics, the mutation rate is the frequency of new mutations in a single gene or organism over time.[2] Mutation rates are not constant and are not limited to a single type of mutation; there are many different types of mutations. Mutation rates are given for specific classes of mutations. Point mutations are a class of mutations which are changes to a single base. Missense and Nonsense mutations are two subtypes of point mutations. The rate of these types of substitutions can be further subdivided into a mutation spectrum which describes the influence of the genetic context on the mutation rate.[3]

Recently reported estimates of the human genome-wide mutation rate. The human germline mutation rate is approximately 0.5×10−9 per basepair per year.[1]

There are several natural units of time for each of these rates, with rates being characterized either as mutations per base pair per cell division, per gene per generation, or per genome per generation. The mutation rate of an organism is an evolved characteristic and is strongly influenced by the genetics of each organism, in addition to strong influence from the environment. The upper and lower limits to which mutation rates can evolve is the subject of ongoing investigation. However, the mutation rate does vary over the genome. Over DNA, RNA or a single gene, mutation rates are changing.[citation needed]

When the mutation rate in humans increases certain health risks can occur, for example, cancer and other hereditary diseases. Having knowledge of mutation rates is vital to understanding the future of cancers and many hereditary diseases.[4]

Background

Different genetic variants within a species are referred to as alleles, therefore a new mutation can create a new allele. In population genetics, each allele is characterized by a selection coefficient, which measures the expected change in an allele's frequency over time. The selection coefficient can either be negative, corresponding to an expected decrease, positive, corresponding to an expected increase, or zero, corresponding to no expected change. The distribution of fitness effects of new mutations is an important parameter in population genetics and has been the subject of extensive investigation.[5] Although measurements of this distribution have been inconsistent in the past, it is now generally thought that the majority of mutations are mildly deleterious, that many have little effect on an organism's fitness, and that a few can be favorable.

Because of natural selection, unfavorable mutations will typically be eliminated from a population while favorable changes are generally kept for the next generation, and neutral changes accumulate at the rate they are created by mutations. This process happens by reproduction. In a particular generation the 'best fit' survive with higher probability, passing their genes to their offspring. The sign of the change in this probability defines mutations to be beneficial, neutral or harmful to organisms.[6]

Measurement

An organism's mutation rates can be measured by a number of techniques.

One way to measure the mutation rate is by the fluctuation test, also known as the Luria–Delbrück experiment. This experiment demonstrated that bacteria mutations occur in the absence of selection instead of the presence of selection.[7]

This is very important to mutation rates because it proves experimentally mutations can occur without selection being a component—in fact, mutation and selection are completely distinct evolutionary forces. Different DNA sequences can have different propensities to mutation (see below) and may not occur randomly.[8]

The most commonly measured class of mutations are substitutions, because they are relatively easy to measure with standard analyses of DNA sequence data. However substitutions have a substantially different rate of mutation (10−8 to 10−9 per generation for most cellular organisms) than other classes of mutation, which are frequently much higher (~10−3 per generation for satellite DNA expansion/contraction[9]).

Substitution rates

Many sites in an organism's genome may admit mutations with small fitness effects. These sites are typically called neutral sites. Theoretically mutations under no selection become fixed between organisms at precisely the mutation rate. Fixed synonymous mutations, i.e. synonymous substitutions, are changes to the sequence of a gene that do not change the protein produced by that gene. They are often used as estimates of that mutation rate, despite the fact that some synonymous mutations have fitness effects. As an example, mutation rates have been directly inferred from the whole genome sequences of experimentally evolved replicate lines of Escherichia coli B.[10]

Mutation accumulation lines

A particularly labor-intensive way of characterizing the mutation rate is the mutation accumulation line.

Mutation accumulation lines have been used to characterize mutation rates with the Bateman-Mukai Method and direct sequencing of well-studied experimental organisms ranging from intestinal bacteria (E. coli), roundworms (C. elegans), yeast (S. cerevisiae), fruit flies (D. melanogaster), and small ephemeral plants (A. thaliana).[11]

Variation in mutation rates

 
Generation time affects mutation rates: The long-lived woody bamboos (tribes Arundinarieae and Bambuseae) have lower mutation rates (short branches in the phylogenetic tree) than the fast-evolving herbaceous bamboos (Olyreae).

Mutation rates differ between species and even between different regions of the genome of a single species. These different rates of nucleotide substitution are measured in substitutions (fixed mutations) per base pair per generation. For example, mutations in intergenic, or non-coding, DNA tend to accumulate at a faster rate than mutations in DNA that is actively in use in the organism (gene expression). That is not necessarily due to a higher mutation rate, but to lower levels of purifying selection. A region which mutates at predictable rate is a candidate for use as a molecular clock.

If the rate of neutral mutations in a sequence is assumed to be constant (clock-like), and if most differences between species are neutral rather than adaptive, then the number of differences between two different species can be used to estimate how long ago two species diverged (see molecular clock). In fact, the mutation rate of an organism may change in response to environmental stress. For example, UV light damages DNA, which may result in error prone attempts by the cell to perform DNA repair.

The human mutation rate is higher in the male germ line (sperm) than the female (egg cells), but estimates of the exact rate have varied by an order of magnitude or more. This means that a human genome accumulates around 64 new mutations per generation because each full generation involves a number of cell divisions to generate gametes.[12] Human mitochondrial DNA has been estimated to have mutation rates of ~3× or ~2.7×10−5 per base per 20 year generation (depending on the method of estimation);[13] these rates are considered to be significantly higher than rates of human genomic mutation at ~2.5×10−8 per base per generation.[14] Using data available from whole genome sequencing, the human genome mutation rate is similarly estimated to be ~1.1×10−8 per site per generation.[15]

The rate for other forms of mutation also differs greatly from point mutations. An individual microsatellite locus often has a mutation rate on the order of 10−4, though this can differ greatly with length.[16]

Some sequences of DNA may be more susceptible to mutation. For example, stretches of DNA in human sperm which lack methylation are more prone to mutation.[17]

In general, the mutation rate in unicellular eukaryotes (and bacteria) is roughly 0.003 mutations per genome per cell generation.[12] However, some species, especially the ciliate of the genus Paramecium have an unusually low mutation rate. For instance, Paramecium tetraurelia has a base-substitution mutation rate of ~2 × 10−11 per site per cell division. This is the lowest mutation rate observed in nature so far, being about 75× lower than in other eukaryotes with a similar genome size, and even 10× lower than in most prokaryotes. The low mutation rate in Paramecium has been explained by its transcriptionally silent germ-line nucleus, consistent with the hypothesis that replication fidelity is higher at lower gene expression levels.[18]

The highest per base pair per generation mutation rates are found in viruses, which can have either RNA or DNA genomes. DNA viruses have mutation rates between 10−6 to 10−8 mutations per base per generation, and RNA viruses have mutation rates between 10−3 to 10−5 per base per generation.[12]

Mutation spectrum

The mutation spectrum of an organism is the rate at which different types of mutations occur at different sites in the genome. The mutation spectrum matters because the rate alone gives a very incomplete picture of what is going on in a genome. For instance, mutations might occur at the same rate in two lineages, but the rate alone would not tell us if the mutations were all base substitutions in one lineage and all large-scale rearrangements in the other. Even within base substitutions, the spectrum can still be informative because a transition substitution is different from a transversion. The mutation spectrum also allows us to know whether mutations happen in coding or noncoding regions.

 
Transitions (Alpha) and transversions (Beta).

There is a systematic difference in rates for transitions (Alpha) and transversions (Beta).

Evolution

The theory on the evolution of mutation rates identifies three principal forces involved: the generation of more deleterious mutations with higher mutation, the generation of more advantageous mutations with higher mutation, and the metabolic costs and reduced replication rates that are required to prevent mutations. Different conclusions are reached based on the relative importance attributed to each force. The optimal mutation rate of organisms may be determined by a trade-off between costs of a high mutation rate,[19] such as deleterious mutations, and the metabolic costs of maintaining systems to reduce the mutation rate (such as increasing the expression of DNA repair enzymes.[20] or, as reviewed by Bernstein et al.[21] having increased energy use for repair, coding for additional gene products and/or having slower replication). Secondly, higher mutation rates increase the rate of beneficial mutations, and evolution may prevent a lowering of the mutation rate in order to maintain optimal rates of adaptation.[22] As such, hypermutation enables some cells to rapidly adapt to changing conditions in order to avoid the entire population from becoming extinct.[23] Finally, natural selection may fail to optimize the mutation rate because of the relatively minor benefits of lowering the mutation rate, and thus the observed mutation rate is the product of neutral processes.[24][25]

Studies have shown that treating RNA viruses such as poliovirus with ribavirin produce results consistent with the idea that the viruses mutated too frequently to maintain the integrity of the information in their genomes.[26] This is termed error catastrophe.

The high mutation rate HIV (Human Immunodeficiency Virus) of 3 x 10−5 per base and generation, coupled with its short replication cycle leads to a high antigen variability, allowing it to evade the immune system.[27]

See also

References

  1. ^ Scally A (December 2016). "The mutation rate in human evolution and demographic inference". Current Opinion in Genetics & Development. 41: 36–43. doi:10.1016/j.gde.2016.07.008. PMID 27589081. from the original on 2021-01-02. Retrieved 2020-09-08.
  2. ^ Crow JF (August 1997). "The high spontaneous mutation rate: is it a health risk?". Proceedings of the National Academy of Sciences of the United States of America. 94 (16): 8380–6. Bibcode:1997PNAS...94.8380C. doi:10.1073/pnas.94.16.8380. PMC 33757. PMID 9237985.
  3. ^ Pope CF, O'Sullivan DM, McHugh TD, Gillespie SH (April 2008). "A practical guide to measuring mutation rates in antibiotic resistance". Antimicrobial Agents and Chemotherapy. 52 (4): 1209–14. doi:10.1128/AAC.01152-07. PMC 2292516. PMID 18250188.
  4. ^ Tomlinson IP, Novelli MR, Bodmer WF (December 1996). "The mutation rate and cancer". Proceedings of the National Academy of Sciences of the United States of America. 93 (25): 14800–3. Bibcode:1996PNAS...9314800T. doi:10.1073/pnas.93.25.14800. PMC 26216. PMID 8962135.
  5. ^ Eyre-Walker A, Keightley PD (August 2007). "The distribution of fitness effects of new mutations". Nature Reviews. Genetics. 8 (8): 610–8. doi:10.1038/nrg2146. PMID 17637733. S2CID 10868777.
  6. ^ Scally A, Durbin R (October 2012). "Revising the human mutation rate: implications for understanding human evolution". Nature Reviews. Genetics. 13 (10): 745–53. doi:10.1038/nrg3295. PMID 22965354. S2CID 18944814.
  7. ^ "Luria–Delbrück experiment". Wikipedia. 2017-04-25.
  8. ^ Monroe, J.G., Srikant, T., Carbonell-Bejerano, P. et al. Mutation bias reflects natural selection in Arabidopsis thaliana. Nature 602, 101–105 (2022). https://doi.org/10.1038/s41586-021-04269-6 2022-06-25 at the Wayback Machine
  9. ^ Flynn, Jullien M.; Caldas, Ian; Cristescu, Melania E.; Clark, Andrew G. (2017). "Selection Constrains High Rates of Tandem Repetitive DNA Mutation in Daphnia pulex". Genetics. 207 (2): 697–710. doi:10.1534/genetics.117.300146. PMC 5629333. PMID 28811387. from the original on 2020-03-21. Retrieved 2020-03-21.
  10. ^ Wielgoss S, Barrick JE, Tenaillon O, Cruveiller S, Chane-Woon-Ming B, Médigue C, Lenski RE, Schneider D (August 2011). "Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli". G3. 1 (3): 183–186. doi:10.1534/g3.111.000406. PMC 3246271. PMID 22207905.
  11. ^ Ossowski S, Schneeberger K, Lucas-Lledó JI, Warthmann N, Clark RM, Shaw RG, Weigel D, Lynch M (January 2010). "The rate and molecular spectrum of spontaneous mutations in Arabidopsis thaliana". Science. 327 (5961): 92–4. Bibcode:2010Sci...327...92O. doi:10.1126/science.1180677. PMC 3878865. PMID 20044577.
  12. ^ a b c Drake JW, Charlesworth B, Charlesworth D, Crow JF (April 1998). "Rates of spontaneous mutation". Genetics. 148 (4): 1667–86. doi:10.1093/genetics/148.4.1667. PMC 1460098. PMID 9560386. from the original on 2010-08-21. Retrieved 2007-09-27.
  13. ^ Schneider S, Excoffier L (July 1999). "Estimation of past demographic parameters from the distribution of pairwise differences when the mutation rates vary among sites: application to human mitochondrial DNA". Genetics. 152 (3): 1079–89. doi:10.1093/genetics/152.3.1079. PMC 1460660. PMID 10388826. from the original on 2008-09-08. Retrieved 2008-02-25.
  14. ^ Nachman MW, Crowell SL (September 2000). "Estimate of the mutation rate per nucleotide in humans". Genetics. 156 (1): 297–304. doi:10.1093/genetics/156.1.297. PMC 1461236. PMID 10978293. from the original on 2011-04-08. Retrieved 2007-10-19.
  15. ^ Roach JC, Glusman G, Smit AF, Huff CD, Hubley R, Shannon PT, Rowen L, Pant KP, Goodman N, Bamshad M, Shendure J, Drmanac R, Jorde LB, Hood L, Galas DJ (April 2010). "Analysis of genetic inheritance in a family quartet by whole-genome sequencing". Science. 328 (5978): 636–9. Bibcode:2010Sci...328..636R. doi:10.1126/science.1186802. PMC 3037280. PMID 20220176.
  16. ^ Whittaker JC, Harbord RM, Boxall N, Mackay I, Dawson G, Sibly RM (June 2003). "Likelihood-based estimation of microsatellite mutation rates". Genetics. 164 (2): 781–7. doi:10.1093/genetics/164.2.781. PMC 1462577. PMID 12807796. from the original on 2011-11-28. Retrieved 2011-05-03.
  17. ^ Gravtiz, Lauren (28 June 2012). "Lack of DNA modification creates hotspots for mutations". Simons Foundation Autism Research Initiative. from the original on 5 March 2014. Retrieved 20 February 2014.
  18. ^ Sung W, Tucker AE, Doak TG, Choi E, Thomas WK, Lynch M (November 2012). "Extraordinary genome stability in the ciliate Paramecium tetraurelia". Proceedings of the National Academy of Sciences of the United States of America. 109 (47): 19339–44. Bibcode:2012PNAS..10919339S. doi:10.1073/pnas.1210663109. PMC 3511141. PMID 23129619.
  19. ^ Altenberg L (June 2011). "An evolutionary reduction principle for mutation rates at multiple Loci". Bulletin of Mathematical Biology. 73 (6): 1227–70. arXiv:0909.2454. doi:10.1007/s11538-010-9557-9. PMID 20737227. S2CID 15027684.
  20. ^ Sniegowski PD, Gerrish PJ, Johnson T, Shaver A (December 2000). "The evolution of mutation rates: separating causes from consequences". BioEssays. 22 (12): 1057–66. doi:10.1002/1521-1878(200012)22:12<1057::AID-BIES3>3.0.CO;2-W. PMID 11084621. S2CID 36771934.
  21. ^ Bernstein H, Hopf FA, Michod RE (1987). "The molecular basis of the evolution of sex". Advances in Genetics. 24: 323–70. doi:10.1016/s0065-2660(08)60012-7. ISBN 9780120176243. PMID 3324702.
  22. ^ Orr HA (June 2000). "The rate of adaptation in asexuals". Genetics. 155 (2): 961–8. doi:10.1093/genetics/155.2.961. PMC 1461099. PMID 10835413. from the original on 2022-06-25. Retrieved 2014-11-01.
  23. ^ Swings, Toon; Van den Bergh, Bram; Wuyts, Sander; Oeyen, Eline; Voordeckers, Karin; Verstrepen, Kevin J; Fauvart, Maarten; Verstraeten, Natalie; Michiels, Jan (2017-05-02). "Adaptive tuning of mutation rates allows fast response to lethal stress in Escherichia coli". eLife. 6. doi:10.7554/eLife.22939. ISSN 2050-084X. PMC 5429094. PMID 28460660.
  24. ^ Lynch M (August 2010). "Evolution of the mutation rate". Trends in Genetics. 26 (8): 345–52. doi:10.1016/j.tig.2010.05.003. PMC 2910838. PMID 20594608.
  25. ^ Sung W, Ackerman MS, Miller SF, Doak TG, Lynch M (November 2012). "Drift-barrier hypothesis and mutation-rate evolution". Proceedings of the National Academy of Sciences of the United States of America. 109 (45): 18488–92. Bibcode:2012PNAS..10918488S. doi:10.1073/pnas.1216223109. PMC 3494944. PMID 23077252.
  26. ^ Crotty S, Cameron CE, Andino R (June 2001). "RNA virus error catastrophe: direct molecular test by using ribavirin". Proceedings of the National Academy of Sciences of the United States of America. 98 (12): 6895–900. Bibcode:2001PNAS...98.6895C. doi:10.1073/pnas.111085598. PMC 34449. PMID 11371613.
  27. ^ Rambaut A, Posada D, Crandall KA, Holmes EC (January 2004). "The causes and consequences of HIV evolution". Nature Reviews Genetics. 5 (52–61): 52–61. doi:10.1038/nrg1246. PMID 14708016. S2CID 5790569. from the original on 2019-11-09. Retrieved 2019-05-28.

External links

  •   Media related to Mutation rate at Wikimedia Commons

mutation, rate, genetics, mutation, rate, frequency, mutations, single, gene, organism, over, time, constant, limited, single, type, mutation, there, many, different, types, mutations, given, specific, classes, mutations, point, mutations, class, mutations, wh. In genetics the mutation rate is the frequency of new mutations in a single gene or organism over time 2 Mutation rates are not constant and are not limited to a single type of mutation there are many different types of mutations Mutation rates are given for specific classes of mutations Point mutations are a class of mutations which are changes to a single base Missense and Nonsense mutations are two subtypes of point mutations The rate of these types of substitutions can be further subdivided into a mutation spectrum which describes the influence of the genetic context on the mutation rate 3 Recently reported estimates of the human genome wide mutation rate The human germline mutation rate is approximately 0 5 10 9 per basepair per year 1 There are several natural units of time for each of these rates with rates being characterized either as mutations per base pair per cell division per gene per generation or per genome per generation The mutation rate of an organism is an evolved characteristic and is strongly influenced by the genetics of each organism in addition to strong influence from the environment The upper and lower limits to which mutation rates can evolve is the subject of ongoing investigation However the mutation rate does vary over the genome Over DNA RNA or a single gene mutation rates are changing citation needed When the mutation rate in humans increases certain health risks can occur for example cancer and other hereditary diseases Having knowledge of mutation rates is vital to understanding the future of cancers and many hereditary diseases 4 Contents 1 Background 2 Measurement 2 1 Substitution rates 2 2 Mutation accumulation lines 3 Variation in mutation rates 4 Mutation spectrum 5 Evolution 6 See also 7 References 8 External linksBackground EditDifferent genetic variants within a species are referred to as alleles therefore a new mutation can create a new allele In population genetics each allele is characterized by a selection coefficient which measures the expected change in an allele s frequency over time The selection coefficient can either be negative corresponding to an expected decrease positive corresponding to an expected increase or zero corresponding to no expected change The distribution of fitness effects of new mutations is an important parameter in population genetics and has been the subject of extensive investigation 5 Although measurements of this distribution have been inconsistent in the past it is now generally thought that the majority of mutations are mildly deleterious that many have little effect on an organism s fitness and that a few can be favorable Because of natural selection unfavorable mutations will typically be eliminated from a population while favorable changes are generally kept for the next generation and neutral changes accumulate at the rate they are created by mutations This process happens by reproduction In a particular generation the best fit survive with higher probability passing their genes to their offspring The sign of the change in this probability defines mutations to be beneficial neutral or harmful to organisms 6 Measurement EditAn organism s mutation rates can be measured by a number of techniques One way to measure the mutation rate is by the fluctuation test also known as the Luria Delbruck experiment This experiment demonstrated that bacteria mutations occur in the absence of selection instead of the presence of selection 7 This is very important to mutation rates because it proves experimentally mutations can occur without selection being a component in fact mutation and selection are completely distinct evolutionary forces Different DNA sequences can have different propensities to mutation see below and may not occur randomly 8 The most commonly measured class of mutations are substitutions because they are relatively easy to measure with standard analyses of DNA sequence data However substitutions have a substantially different rate of mutation 10 8 to 10 9 per generation for most cellular organisms than other classes of mutation which are frequently much higher 10 3 per generation for satellite DNA expansion contraction 9 Substitution rates Edit Many sites in an organism s genome may admit mutations with small fitness effects These sites are typically called neutral sites Theoretically mutations under no selection become fixed between organisms at precisely the mutation rate Fixed synonymous mutations i e synonymous substitutions are changes to the sequence of a gene that do not change the protein produced by that gene They are often used as estimates of that mutation rate despite the fact that some synonymous mutations have fitness effects As an example mutation rates have been directly inferred from the whole genome sequences of experimentally evolved replicate lines of Escherichia coli B 10 Mutation accumulation lines Edit A particularly labor intensive way of characterizing the mutation rate is the mutation accumulation line Mutation accumulation lines have been used to characterize mutation rates with the Bateman Mukai Method and direct sequencing of well studied experimental organisms ranging from intestinal bacteria E coli roundworms C elegans yeast S cerevisiae fruit flies D melanogaster and small ephemeral plants A thaliana 11 Variation in mutation rates Edit Generation time affects mutation rates The long lived woody bamboos tribes Arundinarieae and Bambuseae have lower mutation rates short branches in the phylogenetic tree than the fast evolving herbaceous bamboos Olyreae Mutation rates differ between species and even between different regions of the genome of a single species These different rates of nucleotide substitution are measured in substitutions fixed mutations per base pair per generation For example mutations in intergenic or non coding DNA tend to accumulate at a faster rate than mutations in DNA that is actively in use in the organism gene expression That is not necessarily due to a higher mutation rate but to lower levels of purifying selection A region which mutates at predictable rate is a candidate for use as a molecular clock If the rate of neutral mutations in a sequence is assumed to be constant clock like and if most differences between species are neutral rather than adaptive then the number of differences between two different species can be used to estimate how long ago two species diverged see molecular clock In fact the mutation rate of an organism may change in response to environmental stress For example UV light damages DNA which may result in error prone attempts by the cell to perform DNA repair The human mutation rate is higher in the male germ line sperm than the female egg cells but estimates of the exact rate have varied by an order of magnitude or more This means that a human genome accumulates around 64 new mutations per generation because each full generation involves a number of cell divisions to generate gametes 12 Human mitochondrial DNA has been estimated to have mutation rates of 3 or 2 7 10 5 per base per 20 year generation depending on the method of estimation 13 these rates are considered to be significantly higher than rates of human genomic mutation at 2 5 10 8 per base per generation 14 Using data available from whole genome sequencing the human genome mutation rate is similarly estimated to be 1 1 10 8 per site per generation 15 The rate for other forms of mutation also differs greatly from point mutations An individual microsatellite locus often has a mutation rate on the order of 10 4 though this can differ greatly with length 16 Some sequences of DNA may be more susceptible to mutation For example stretches of DNA in human sperm which lack methylation are more prone to mutation 17 In general the mutation rate in unicellular eukaryotes and bacteria is roughly 0 003 mutations per genome per cell generation 12 However some species especially the ciliate of the genus Paramecium have an unusually low mutation rate For instance Paramecium tetraurelia has a base substitution mutation rate of 2 10 11 per site per cell division This is the lowest mutation rate observed in nature so far being about 75 lower than in other eukaryotes with a similar genome size and even 10 lower than in most prokaryotes The low mutation rate in Paramecium has been explained by its transcriptionally silent germ line nucleus consistent with the hypothesis that replication fidelity is higher at lower gene expression levels 18 The highest per base pair per generation mutation rates are found in viruses which can have either RNA or DNA genomes DNA viruses have mutation rates between 10 6 to 10 8 mutations per base per generation and RNA viruses have mutation rates between 10 3 to 10 5 per base per generation 12 Mutation spectrum EditThe mutation spectrum of an organism is the rate at which different types of mutations occur at different sites in the genome The mutation spectrum matters because the rate alone gives a very incomplete picture of what is going on in a genome For instance mutations might occur at the same rate in two lineages but the rate alone would not tell us if the mutations were all base substitutions in one lineage and all large scale rearrangements in the other Even within base substitutions the spectrum can still be informative because a transition substitution is different from a transversion The mutation spectrum also allows us to know whether mutations happen in coding or noncoding regions Transitions Alpha and transversions Beta There is a systematic difference in rates for transitions Alpha and transversions Beta Evolution EditThe theory on the evolution of mutation rates identifies three principal forces involved the generation of more deleterious mutations with higher mutation the generation of more advantageous mutations with higher mutation and the metabolic costs and reduced replication rates that are required to prevent mutations Different conclusions are reached based on the relative importance attributed to each force The optimal mutation rate of organisms may be determined by a trade off between costs of a high mutation rate 19 such as deleterious mutations and the metabolic costs of maintaining systems to reduce the mutation rate such as increasing the expression of DNA repair enzymes 20 or as reviewed by Bernstein et al 21 having increased energy use for repair coding for additional gene products and or having slower replication Secondly higher mutation rates increase the rate of beneficial mutations and evolution may prevent a lowering of the mutation rate in order to maintain optimal rates of adaptation 22 As such hypermutation enables some cells to rapidly adapt to changing conditions in order to avoid the entire population from becoming extinct 23 Finally natural selection may fail to optimize the mutation rate because of the relatively minor benefits of lowering the mutation rate and thus the observed mutation rate is the product of neutral processes 24 25 Studies have shown that treating RNA viruses such as poliovirus with ribavirin produce results consistent with the idea that the viruses mutated too frequently to maintain the integrity of the information in their genomes 26 This is termed error catastrophe The high mutation rate HIV Human Immunodeficiency Virus of 3 x 10 5 per base and generation coupled with its short replication cycle leads to a high antigen variability allowing it to evade the immune system 27 See also EditMutation Critical mutation rate Mutation frequency Allele frequency Rate of evolution Genetics CancerReferences Edit Scally A December 2016 The mutation rate in human evolution and demographic inference Current Opinion in Genetics amp Development 41 36 43 doi 10 1016 j gde 2016 07 008 PMID 27589081 Archived from the original on 2021 01 02 Retrieved 2020 09 08 Crow JF August 1997 The high spontaneous mutation rate is it a health risk Proceedings of the National Academy of Sciences of the United States of America 94 16 8380 6 Bibcode 1997PNAS 94 8380C doi 10 1073 pnas 94 16 8380 PMC 33757 PMID 9237985 Pope CF O Sullivan DM McHugh TD Gillespie SH April 2008 A practical guide to measuring mutation rates in antibiotic resistance Antimicrobial Agents and Chemotherapy 52 4 1209 14 doi 10 1128 AAC 01152 07 PMC 2292516 PMID 18250188 Tomlinson IP Novelli MR Bodmer WF December 1996 The mutation rate and cancer Proceedings of the National Academy of Sciences of the United States of America 93 25 14800 3 Bibcode 1996PNAS 9314800T doi 10 1073 pnas 93 25 14800 PMC 26216 PMID 8962135 Eyre Walker A Keightley PD August 2007 The distribution of fitness effects of new mutations Nature Reviews Genetics 8 8 610 8 doi 10 1038 nrg2146 PMID 17637733 S2CID 10868777 Scally A Durbin R October 2012 Revising the human mutation rate implications for understanding human evolution Nature Reviews Genetics 13 10 745 53 doi 10 1038 nrg3295 PMID 22965354 S2CID 18944814 Luria Delbruck experiment Wikipedia 2017 04 25 Monroe J G Srikant T Carbonell Bejerano P et al Mutation bias reflects natural selection in Arabidopsis thaliana Nature 602 101 105 2022 https doi org 10 1038 s41586 021 04269 6 Archived 2022 06 25 at the Wayback Machine Flynn Jullien M Caldas Ian Cristescu Melania E Clark Andrew G 2017 Selection Constrains High Rates of Tandem Repetitive DNA Mutation in Daphnia pulex Genetics 207 2 697 710 doi 10 1534 genetics 117 300146 PMC 5629333 PMID 28811387 Archived from the original on 2020 03 21 Retrieved 2020 03 21 Wielgoss S Barrick JE Tenaillon O Cruveiller S Chane Woon Ming B Medigue C Lenski RE Schneider D August 2011 Mutation Rate Inferred From Synonymous Substitutions in a Long Term Evolution Experiment With Escherichia coli G3 1 3 183 186 doi 10 1534 g3 111 000406 PMC 3246271 PMID 22207905 Ossowski S Schneeberger K Lucas Lledo JI Warthmann N Clark RM Shaw RG Weigel D Lynch M January 2010 The rate and molecular spectrum of spontaneous mutations 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