Molecular evolution: Difference between revisions
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{{Short description| | {{Short description|Study of changes in DNA and RNA over time}} | ||
{{Evolutionary biology}} | {{Evolutionary biology}} | ||
'''Molecular evolution''' describes how [[Heredity|inherited]] [[DNA]] and/or [[RNA]] change over [[evolution]]ary time, and the consequences of this for [[protein]]s and other components of [[Cell (biology)|cells]] and [[organism]]s. Molecular evolution is the basis of [[phylogenetics|phylogenetic]] approaches to describing the [[Tree of life (biology)|tree of life]]. Molecular evolution overlaps with [[population genetics]], especially on shorter timescales. Topics in molecular evolution include the origins of new genes, the genetic nature of [[complex traits]], the genetic basis of [[adaptation]] and [[speciation]], the [[Evolutionary developmental biology|evolution of development]], and patterns and processes underlying [[genome|genomic]] changes during evolution. | '''Molecular evolution''' describes how [[Heredity|inherited]] [[DNA]] and/or [[RNA]] change over [[evolution]]ary time, and the consequences of this for [[protein]]s and other components of [[Cell (biology)|cells]] and [[organism]]s. Molecular evolution is the basis of [[phylogenetics|phylogenetic]] approaches to describing the [[Tree of life (biology)|tree of life]]. Molecular evolution overlaps with [[population genetics]], especially on shorter timescales. Topics in molecular evolution include the origins of new genes, the genetic nature of [[complex traits]], the genetic basis of [[adaptation]] and [[speciation]], the [[Evolutionary developmental biology|evolution of development]], and patterns and processes underlying [[genome|genomic]] changes during evolution. | ||
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{{Main|History of molecular evolution}} | {{Main|History of molecular evolution}} | ||
The [[history of molecular evolution]] starts in the early 20th century with comparative [[biochemistry]], and the use of "fingerprinting" methods such as immune assays, [[gel electrophoresis]], and [[paper chromatography]] in the 1950s to explore [[homologous protein]]s.<ref name=Dietrich>{{cite journal | vauthors = Dietrich MR |title = Paradox and persuasion: negotiating the place of molecular evolution within evolutionary biology|journal = Journal of the History of Biology|volume=31|issue = 1 | pages=85–111|year=1998|pmid=11619919|doi= 10.1023/A:1004257523100|s2cid=29935487 }}</ref><ref name=Hagen>{{cite journal | vauthors = Hagen JB | title = Naturalists, molecular biologists, and the challenges of molecular evolution | journal = Journal of the History of Biology|volume=32|issue=2|pages=321–341|year=1999|pmid = 11624208 | doi = 10.1023/A:1004660202226 | s2cid = 26994015 }}</ref> The advent of [[protein sequencing]] allowed molecular biologists to create phylogenies based on sequence comparison, and to use the differences between [[Sequence homology|homologous sequences]] as a [[molecular clock]] to estimate the time since the [[most recent common ancestor]].<ref>{{cite journal |last1=Zuckerkandl |first1=Emile |last2=Pauling |first2=Linus |title=Molecules as documents of evolutionary history |journal=Journal of Theoretical Biology |date=March 1965 |volume=8 |issue=2 |pages=357–366 |doi=10.1016/0022-5193(65)90083-4|pmid=5876245 |bibcode=1965JThBi...8..357Z }}</ref><ref name=Dietrich/> The surprisingly large amount of molecular divergence within and between species inspired the [[neutral theory of molecular evolution]] in the late 1960s.<ref name=Kimura68>{{cite journal | vauthors = Kimura M | title = Evolutionary rate at the molecular level | journal = Nature | volume = 217 | issue = 5129 | pages = 624–626 | date = February 1968 | pmid = 5637732 | doi = 10.1038/217624a0 | s2cid = 4161261 | bibcode = 1968Natur.217..624K }}</ref><ref name=King>{{cite journal | vauthors = King JL, Jukes TH | title = Non-Darwinian evolution | journal = Science | volume = 164 | issue = 3881 | pages = 788–798 | date = May 1969 | pmid = 5767777 | doi = 10.1126/science.164.3881.788 | bibcode = 1969Sci...164..788L }}</ref><ref name=Kim83>{{cite book |author=Kimura, M. |year=1983 |title=The Neutral Theory of Molecular Evolution|publisher=[[Cambridge University Press]], Cambridge| isbn=0-521-23109-4|author-link=Motoo Kimura }}</ref> Neutral theory also provided a theoretical basis for the [[molecular clock]], although this is not needed for the clock's validity. After the 1970s, nucleic acid sequencing allowed molecular evolution to reach beyond proteins to highly conserved [[ribosomal RNA]] sequences, the foundation of a reconceptualization of the early [[history of life]].<ref name=Dietrich/> The [[Society for Molecular Biology and Evolution]] was founded in 1982. | The [[history of molecular evolution]] starts in the early 20th century with comparative [[biochemistry]], and the use of "fingerprinting" methods such as immune assays, [[gel electrophoresis]], and [[paper chromatography]] in the 1950s to explore [[homologous protein]]s.<ref name=Dietrich>{{cite journal | vauthors = Dietrich MR |title = Paradox and persuasion: negotiating the place of molecular evolution within evolutionary biology|journal = Journal of the History of Biology|volume=31|issue = 1 | pages=85–111|year=1998|pmid=11619919|doi= 10.1023/A:1004257523100|s2cid=29935487 }}</ref><ref name=Hagen>{{cite journal | vauthors = Hagen JB | title = Naturalists, molecular biologists, and the challenges of molecular evolution | journal = Journal of the History of Biology|volume=32|issue=2|pages=321–341|year=1999|pmid = 11624208 | doi = 10.1023/A:1004660202226 | s2cid = 26994015 }}</ref> The advent of [[protein sequencing]] allowed molecular biologists to create phylogenies based on sequence comparison, and to use the differences between [[Sequence homology|homologous sequences]] as a [[molecular clock]] to estimate the time since the [[most recent common ancestor]].<ref>{{cite journal |last1=Zuckerkandl |first1=Emile |last2=Pauling |first2=Linus |title=Molecules as documents of evolutionary history |journal=Journal of Theoretical Biology |date=March 1965 |volume=8 |issue=2 |pages=357–366 |doi=10.1016/0022-5193(65)90083-4|pmid=5876245 |bibcode=1965JThBi...8..357Z }}</ref><ref name=Dietrich/> The surprisingly large amount of molecular divergence within and between species inspired the [[neutral theory of molecular evolution]] in the late 1960s.<ref name=Kimura68>{{cite journal | vauthors = Kimura M | title = Evolutionary rate at the molecular level | journal = Nature | volume = 217 | issue = 5129 | pages = 624–626 | date = February 1968 | pmid = 5637732 | doi = 10.1038/217624a0 | s2cid = 4161261 | bibcode = 1968Natur.217..624K }}</ref><ref name=King>{{cite journal | vauthors = King JL, Jukes TH | title = Non-Darwinian evolution | journal = Science | volume = 164 | issue = 3881 | pages = 788–798 | date = May 1969 | pmid = 5767777 | doi = 10.1126/science.164.3881.788 | bibcode = 1969Sci...164..788L }}</ref><ref name=Kim83>{{cite book |author=Kimura, M. |year=1983 |title=The Neutral Theory of Molecular Evolution|publisher=[[Cambridge University Press]], Cambridge| isbn=0-521-23109-4|author-link=Motoo Kimura }}</ref> Neutral theory also provided a theoretical basis for the [[molecular clock]], although this is not needed for the clock's validity. After the 1970s, nucleic acid sequencing allowed molecular evolution to reach beyond proteins to highly conserved [[ribosomal RNA]] sequences, the foundation of a reconceptualization of the early [[history of life]].<ref name=Dietrich/> The [[Society for Molecular Biology and Evolution]] was founded in 1982. {{cn|date=September 2025}} | ||
==Molecular phylogenetics== | ==Molecular phylogenetics== | ||
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[[File:Site pattern frequencies models.jpg|thumb|440x440px|[[Multiple sequence alignment]] (in this case DNA sequences) and illustrations of the use of substitution models to make evolutionary inferences. The data in this alignment (in this case a toy example with 18 sites) is converted to a set of site patterns. The site patterns are shown along with the number of times they occur in alignment. These site patterns are used to calculate the [[Likelihood function|likelihood]] given the substitution model and a [[phylogenetic tree]] (in this case an unrooted four-taxon tree). It is also necessary to assume a substitution model to estimate evolutionary distances for pairs of sequences (distances are the number of substitutions that have occurred since sequences had a common ancestor). The evolutionary distance equation (''d''<sub>12</sub>) is based on the simple model proposed by [[Thomas H. Jukes|Jukes]] and [[Charles Cantor|Cantor]] in 1969. The equation transforms the proportion of nucleotide differences between taxa 1 and 2 (''p''<sub>12</sub> = 4/18; the four site patterns that differ between taxa 1 and 2 are indicated with asterisks) into an evolutionary distance (in this case ''d''<sub>12</sub>=0.2635 substitutions per site). ]] | [[File:Site pattern frequencies models.jpg|thumb|440x440px|[[Multiple sequence alignment]] (in this case DNA sequences) and illustrations of the use of substitution models to make evolutionary inferences. The data in this alignment (in this case a toy example with 18 sites) is converted to a set of site patterns. The site patterns are shown along with the number of times they occur in alignment. These site patterns are used to calculate the [[Likelihood function|likelihood]] given the substitution model and a [[phylogenetic tree]] (in this case an unrooted four-taxon tree). It is also necessary to assume a substitution model to estimate evolutionary distances for pairs of sequences (distances are the number of substitutions that have occurred since sequences had a common ancestor). The evolutionary distance equation (''d''<sub>12</sub>) is based on the simple model proposed by [[Thomas H. Jukes|Jukes]] and [[Charles Cantor|Cantor]] in 1969. The equation transforms the proportion of nucleotide differences between taxa 1 and 2 (''p''<sub>12</sub> = 4/18; the four site patterns that differ between taxa 1 and 2 are indicated with asterisks) into an evolutionary distance (in this case ''d''<sub>12</sub>=0.2635 substitutions per site). ]] | ||
Molecular phylogenetics uses [[DNA]], [[RNA]], or [[protein]] sequences to resolve questions in [[systematics]], i.e. about their correct [[Taxonomy (biology)|scientific classification]] from the point of view of [[History of life|evolutionary history]]. The result of a molecular [[phylogenetics|phylogenetic]] analysis is expressed in a [[phylogenetic tree]]. Phylogenetic inference is conducted using data from [[DNA sequencing]]. This is [[Multiple sequence alignment|aligned]] to identify which sites are [[Homology (biology)|homologous]]. A [[substitution model]] describes what patterns are expected to be common or rare. Sophisticated [[Computational phylogenetics|computational inference]] is then used to generate one or more plausible trees. | Molecular phylogenetics uses [[DNA]], [[RNA]], or [[protein]] sequences to resolve questions in [[systematics]], i.e. about their correct [[Taxonomy (biology)|scientific classification]] from the point of view of [[History of life|evolutionary history]]. The result of a molecular [[phylogenetics|phylogenetic]] analysis is expressed in a [[phylogenetic tree]]. Phylogenetic inference is conducted using data from [[DNA sequencing]]. This is [[Multiple sequence alignment|aligned]] to identify which sites are [[Homology (biology)|homologous]]. A [[substitution model]] describes what patterns are expected to be common or rare. Sophisticated [[Computational phylogenetics|computational inference]] is then used to generate one or more plausible trees. {{cn|date=September 2025}} | ||
Some phylogenetic methods account for variation among sites and [[Heterotachy|among tree branches]]. Different genes, e.g. [[hemoglobin]] vs. [[cytochrome c]], generally evolve at different [[Rate of evolution|rates]].<ref name="Fay">{{cite journal | vauthors = Fay JC, Wu CI | title = Sequence divergence, functional constraint, and selection in protein evolution | journal = Annual Review of Genomics and Human Genetics | volume = 4 | pages = 213–235 | date = 2003 | pmid = 14527302 | doi = 10.1146/annurev.genom.4.020303.162528 | s2cid = 6360375 | doi-access = free }}</ref> These rates are relatively constant over time (e.g., hemoglobin does not evolve at the same rate as cytochrome c, but hemoglobins from humans, mice, etc. do have comparable rates of evolution), although rapid evolution along one branch can indicate increased [[directional selection]] on that branch.<ref>{{cite journal |last1=Álvarez-Carretero |first1=Sandra |last2=Kapli |first2=Paschalia |last3=Yang |first3=Ziheng |title=Beginner's Guide on the Use of PAML to Detect Positive Selection |journal=Molecular Biology and Evolution |date=4 April 2023 |volume=40 |issue=4 |doi=10.1093/molbev/msad041|pmid=37096789 |pmc=10127084 }}</ref> [[Purifying selection]] causes functionally important regions to evolve more slowly, and amino acid substitutions involving [[Conservative replacement|similar amino acids]] occurs more often than dissimilar substitutions.<ref name="Fay" /> | Some phylogenetic methods account for variation among sites and [[Heterotachy|among tree branches]]. Different genes, e.g. [[hemoglobin]] vs. [[cytochrome c]], generally evolve at different [[Rate of evolution|rates]].<ref name="Fay">{{cite journal | vauthors = Fay JC, Wu CI | title = Sequence divergence, functional constraint, and selection in protein evolution | journal = Annual Review of Genomics and Human Genetics | volume = 4 | pages = 213–235 | date = 2003 | pmid = 14527302 | doi = 10.1146/annurev.genom.4.020303.162528 | s2cid = 6360375 | doi-access = free }}</ref> These rates are relatively constant over time (e.g., hemoglobin does not evolve at the same rate as cytochrome c, but hemoglobins from humans, mice, etc. do have comparable rates of evolution), although rapid evolution along one branch can indicate increased [[directional selection]] on that branch.<ref>{{cite journal |last1=Álvarez-Carretero |first1=Sandra |last2=Kapli |first2=Paschalia |last3=Yang |first3=Ziheng |title=Beginner's Guide on the Use of PAML to Detect Positive Selection |journal=Molecular Biology and Evolution |date=4 April 2023 |volume=40 |issue=4 |doi=10.1093/molbev/msad041|pmid=37096789 |pmc=10127084 }}</ref> [[Purifying selection]] causes functionally important regions to evolve more slowly, and amino acid substitutions involving [[Conservative replacement|similar amino acids]] occurs more often than dissimilar substitutions.<ref name="Fay" /> | ||
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[[Gene duplication]] can produce multiple [[Sequence homology|homologous]] proteins (paralogs) within the same species. [[Phylogenetics|Phylogenetic]] analysis of proteins has revealed how proteins evolve and change their structure and function over time.<ref name="2017-Hanukoglu-b">{{cite journal | vauthors = Hanukoglu I | title = ASIC and ENaC type sodium channels: conformational states and the structures of the ion selectivity filters | journal = The FEBS Journal | volume = 284 | issue = 4 | pages = 525–545 | date = February 2017 | pmid = 27580245 | doi = 10.1111/febs.13840 | s2cid = 24402104 | url = https://zenodo.org/record/890906 }}</ref><ref name="2016-Hanukoglu">{{cite journal | vauthors = Hanukoglu I, Hanukoglu A | title = Epithelial sodium channel (ENaC) family: Phylogeny, structure-function, tissue distribution, and associated inherited diseases | journal = Gene | volume = 579 | issue = 2 | pages = 95–132 | date = April 2016 | pmid = 26772908 | pmc = 4756657 | doi = 10.1016/j.gene.2015.12.061 }}</ref> | [[Gene duplication]] can produce multiple [[Sequence homology|homologous]] proteins (paralogs) within the same species. [[Phylogenetics|Phylogenetic]] analysis of proteins has revealed how proteins evolve and change their structure and function over time.<ref name="2017-Hanukoglu-b">{{cite journal | vauthors = Hanukoglu I | title = ASIC and ENaC type sodium channels: conformational states and the structures of the ion selectivity filters | journal = The FEBS Journal | volume = 284 | issue = 4 | pages = 525–545 | date = February 2017 | pmid = 27580245 | doi = 10.1111/febs.13840 | s2cid = 24402104 | url = https://zenodo.org/record/890906 }}</ref><ref name="2016-Hanukoglu">{{cite journal | vauthors = Hanukoglu I, Hanukoglu A | title = Epithelial sodium channel (ENaC) family: Phylogeny, structure-function, tissue distribution, and associated inherited diseases | journal = Gene | volume = 579 | issue = 2 | pages = 95–132 | date = April 2016 | pmid = 26772908 | pmc = 4756657 | doi = 10.1016/j.gene.2015.12.061 }}</ref> | ||
For example, [[ribonucleotide reductase]] (RNR) has evolved a multitude of structural and functional variants. '''Class I''' RNRs use a [[ferritin]] subunit and differ by the metal they use as cofactors. In '''class II''' RNRs, the [[thiyl radical]] is generated using an [[adenosylcobalamin]] cofactor and these enzymes do not require additional subunits (as opposed to class I which do). In '''class III''' RNRs, the thiyl radical is generated using [[S-Adenosyl methionine|S-adenosylmethionine]] bound to a [<nowiki/>[[Iron-sulfur protein|4Fe-4S]]] cluster. That is, within a single family of proteins numerous structural and functional mechanisms can evolve.<ref>{{cite journal | vauthors = Burnim AA, Spence MA, Xu D, Jackson CJ, Ando N | title = Comprehensive phylogenetic analysis of the ribonucleotide reductase family reveals an ancestral clade | journal = eLife | volume = 11 | | For example, [[ribonucleotide reductase]] (RNR) has evolved a multitude of structural and functional variants. '''Class I''' RNRs use a [[ferritin]] subunit and differ by the metal they use as cofactors. In '''class II''' RNRs, the [[thiyl radical]] is generated using an [[adenosylcobalamin]] cofactor and these enzymes do not require additional subunits (as opposed to class I which do). In '''class III''' RNRs, the thiyl radical is generated using [[S-Adenosyl methionine|S-adenosylmethionine]] bound to a [<nowiki/>[[Iron-sulfur protein|4Fe-4S]]] cluster. That is, within a single family of proteins numerous structural and functional mechanisms can evolve.<ref>{{cite journal | vauthors = Burnim AA, Spence MA, Xu D, Jackson CJ, Ando N | title = Comprehensive phylogenetic analysis of the ribonucleotide reductase family reveals an ancestral clade | journal = eLife | volume = 11 | article-number = e79790 | date = September 2022 | pmid = 36047668|pmc=9531940|doi = 10.7554/eLife.79790 | veditors = Ben-Tal N, Weigel D, Ben-Tal N, Stubbe J, Hofer A | doi-access = free }}</ref> | ||
In a proof-of-concept study, Bhattacharya and colleagues converted [[myoglobin]], a non-enzymatic oxygen storage protein, into a highly efficient [[Benzisoxazole|Kemp eliminase]] using only three [[mutation]]s. This demonstrates that only few mutations are needed to radically change the function of a protein.<ref>{{cite journal | vauthors = Bhattacharya S, Margheritis EG, Takahashi K, Kulesha A, D'Souza A, Kim I, Yoon JH, Tame JR, Volkov AN, Makhlynets OV, Korendovych IV | display-authors = 6 | title = NMR-guided directed evolution | journal = Nature | volume = 610 | issue = 7931 | pages = 389–393 | date = October 2022 | pmid = 36198791 | doi = 10.1038/s41586-022-05278-9 | pmc = 10116341 | bibcode = 2022Natur.610..389B | s2cid = 245067145 }}</ref> [[Directed evolution]] is the attempt to engineer proteins using methods inspired by molecular evolution. | In a proof-of-concept study, Bhattacharya and colleagues converted [[myoglobin]], a non-enzymatic oxygen storage protein, into a highly efficient [[Benzisoxazole|Kemp eliminase]] using only three [[mutation]]s. This demonstrates that only few mutations are needed to radically change the function of a protein.<ref>{{cite journal | vauthors = Bhattacharya S, Margheritis EG, Takahashi K, Kulesha A, D'Souza A, Kim I, Yoon JH, Tame JR, Volkov AN, Makhlynets OV, Korendovych IV | display-authors = 6 | title = NMR-guided directed evolution | journal = Nature | volume = 610 | issue = 7931 | pages = 389–393 | date = October 2022 | pmid = 36198791 | doi = 10.1038/s41586-022-05278-9 | pmc = 10116341 | bibcode = 2022Natur.610..389B | s2cid = 245067145 }}</ref> [[Directed evolution]] is the attempt to engineer proteins using methods inspired by molecular evolution. | ||
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==Molecular evolution at one site== | ==Molecular evolution at one site== | ||
Change at one locus begins with a new [[mutation]], which might become fixed due to some combination of [[natural selection]], [[genetic drift]], and [[gene conversion]]. | Change at one locus begins with a new [[mutation]], which might become fixed due to some combination of [[natural selection]], [[genetic drift]], and [[gene conversion]]. {{cn|date=September 2025}} | ||
===Mutation=== | ===Mutation=== | ||
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The distribution of rates for diverse kinds of mutations is called the "mutation spectrum" (see App. B of <ref name="Stoltzfus2021" />). Mutations of different types occur at widely varying rates. Point mutation rates for most organisms are very low, roughly 10<sup>−9</sup> to 10<sup>−8</sup> per site per generation,<ref>{{cite journal |last1=Wang |first1=Yiguan |last2=Obbard |first2=Darren J |title=Experimental estimates of germline mutation rate in eukaryotes: a phylogenetic meta-analysis |journal=Evolution Letters |date=19 July 2023 |volume=7 |issue=4 |pages=216–226 |doi=10.1093/evlett/qrad027|pmid=37475753 |pmc=10355183 |hdl=20.500.11820/8ffd5b76-77ae-4764-ae31-de2fb8aa35cf |hdl-access=free }}</ref> though some viruses have higher mutation rates on the order of 10<sup>−6</sup> per site per generation.<ref>{{cite journal |last1=Peck |first1=Kayla M. |last2=Lauring |first2=Adam S. |title=Complexities of Viral Mutation Rates |journal=Journal of Virology |date=15 July 2018 |volume=92 |issue=14 |pages=e01031-17 |doi=10.1128/JVI.01031-17|pmid=29720522 |pmc=6026756 }}</ref> [[Transition (genetics)|Transitions]] (A ↔ G or C ↔ T) are more common than [[transversion]]s ([[purine]] (adenine or guanine)) ↔ [[pyrimidine]] (cytosine or thymine, or in RNA, uracil)).<ref>{{Cite web | url=https://www.mun.ca/biology/scarr/Transitions_vs_Transversions.html | title=Transitions vs transversions}}</ref> Perhaps the most common type of mutation in humans is a change in the length of a [[short tandem repeat]] (e.g., the CAG repeats underlying various disease-associated mutations). Such STR mutations may occur at rates on the order of 10<sup>−3</sup> per generation.<ref name=WeberWong1993>{{cite journal | author=J. L. Weber and C. Wong | year=1993 | title=Mutation of human short tandem repeats | journal=Hum Mol Genet | volume=2 | issue=8 | pages=1123–8 | doi=10.1093/hmg/2.8.1123 | pmid=8401493 }}</ref> | The distribution of rates for diverse kinds of mutations is called the "mutation spectrum" (see App. B of <ref name="Stoltzfus2021" />). Mutations of different types occur at widely varying rates. Point mutation rates for most organisms are very low, roughly 10<sup>−9</sup> to 10<sup>−8</sup> per site per generation,<ref>{{cite journal |last1=Wang |first1=Yiguan |last2=Obbard |first2=Darren J |title=Experimental estimates of germline mutation rate in eukaryotes: a phylogenetic meta-analysis |journal=Evolution Letters |date=19 July 2023 |volume=7 |issue=4 |pages=216–226 |doi=10.1093/evlett/qrad027|pmid=37475753 |pmc=10355183 |hdl=20.500.11820/8ffd5b76-77ae-4764-ae31-de2fb8aa35cf |hdl-access=free }}</ref> though some viruses have higher mutation rates on the order of 10<sup>−6</sup> per site per generation.<ref>{{cite journal |last1=Peck |first1=Kayla M. |last2=Lauring |first2=Adam S. |title=Complexities of Viral Mutation Rates |journal=Journal of Virology |date=15 July 2018 |volume=92 |issue=14 |pages=e01031-17 |doi=10.1128/JVI.01031-17|pmid=29720522 |pmc=6026756 }}</ref> [[Transition (genetics)|Transitions]] (A ↔ G or C ↔ T) are more common than [[transversion]]s ([[purine]] (adenine or guanine)) ↔ [[pyrimidine]] (cytosine or thymine, or in RNA, uracil)).<ref>{{Cite web | url=https://www.mun.ca/biology/scarr/Transitions_vs_Transversions.html | title=Transitions vs transversions}}</ref> Perhaps the most common type of mutation in humans is a change in the length of a [[short tandem repeat]] (e.g., the CAG repeats underlying various disease-associated mutations). Such STR mutations may occur at rates on the order of 10<sup>−3</sup> per generation.<ref name=WeberWong1993>{{cite journal | author=J. L. Weber and C. Wong | year=1993 | title=Mutation of human short tandem repeats | journal=Hum Mol Genet | volume=2 | issue=8 | pages=1123–8 | doi=10.1093/hmg/2.8.1123 | pmid=8401493 }}</ref> | ||
Different frequencies of different types of mutations can play an important role in evolution via [[bias in the introduction of variation]] (arrival bias), contributing to parallelism, trends, and differences in the navigability of adaptive landscapes.<ref name=CanoPayne2020>{{cite journal | author=A. V. Cano and J. L. Payne | year=2020 | title=Mutation bias interacts with composition bias to influence adaptive evolution | journal=PLOS Computational Biology | volume=16 | issue=9 | | Different frequencies of different types of mutations can play an important role in evolution via [[bias in the introduction of variation]] (arrival bias), contributing to parallelism, trends, and differences in the navigability of adaptive landscapes.<ref name=CanoPayne2020>{{cite journal | author=A. V. Cano and J. L. Payne | year=2020 | title=Mutation bias interacts with composition bias to influence adaptive evolution | journal=PLOS Computational Biology | volume=16 | issue=9 | article-number=e1008296 | doi=10.1371/journal.pcbi.1008296 | pmid=32986712 | pmc=7571706 | bibcode=2020PLSCB..16E8296C | doi-access=free }}</ref><ref name=Nei2013>{{cite book | author=M. Nei | year=2013 | title=Mutation-Driven Evolution | publisher=Oxford University Press }}</ref> Mutation bias makes systematic or predictable contributions to [[parallel evolution]].<ref name=Stoltzfus2021>{{cite book | author=A. Stoltzfus | year=2021 | title=Mutation, Randomness and Evolution | publisher=Oxford, Oxford }}</ref> Since the 1960s, genomic [[GC content]] has been thought to reflect mutational tendencies.<ref name=Freese1962>{{cite journal | author=E. Freese | year=1962 | title=On the Evolution of the Base Composition of DNA | journal=J. Theor. Biol. | volume=3 | issue=1 | pages=82–101 | doi=10.1016/S0022-5193(62)80005-8 | bibcode=1962JThBi...3...82F | quote = "It is unimportant in this connection whether selection has been negligible or self-cancelling." }}</ref><ref name=Sueoka1962>{{cite journal | author=N. Sueoka | year=1962 | title=On the Genetic Basis of Variation and Heterogeneity of DNA Base Composition | journal=Proc. Natl. Acad. Sci. U.S.A. | volume=48 | issue=4 | pages=582–592 | doi=10.1073/pnas.48.4.582 | ||
| pmid=13918161 | pmc=220819 | bibcode=1962PNAS...48..582S | doi-access=free }}</ref> Mutational biases also contribute to [[codon usage bias]].<ref name=StoltzfusYampolsky2009>{{cite journal | author=A. Stoltzfus and L. Y. Yampolsky | year=2009 | title=Climbing mount probable: mutation as a cause of nonrandomness in evolution | journal=J Hered | volume=100 | issue=5 | pages=637–47 | doi=10.1093/jhered/esp048 | pmid=19625453 | doi-access=free }}</ref> Although such hypotheses are often associated with neutrality, recent theoretical and empirical results have established that mutational tendencies can influence both neutral and adaptive evolution via [[bias in the introduction of variation]] (arrival bias). | | pmid=13918161 | pmc=220819 | bibcode=1962PNAS...48..582S | doi-access=free }}</ref> Mutational biases also contribute to [[codon usage bias]].<ref name=StoltzfusYampolsky2009>{{cite journal | author=A. Stoltzfus and L. Y. Yampolsky | year=2009 | title=Climbing mount probable: mutation as a cause of nonrandomness in evolution | journal=J Hered | volume=100 | issue=5 | pages=637–47 | doi=10.1093/jhered/esp048 | pmid=19625453 | doi-access=free }}</ref> Although such hypotheses are often associated with neutrality, recent theoretical and empirical results have established that mutational tendencies can influence both neutral and adaptive evolution via [[bias in the introduction of variation]] (arrival bias). {{cn|date=September 2025}} | ||
===Selection=== | ===Selection=== | ||
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Selection can occur when an allele confers greater [[fitness (biology)|fitness]], i.e. greater ability to survive or reproduce, on the average individual than carries it. A '''selectionist''' approach emphasizes e.g. that biases in [[codon usage bias|codon usage]] are due at least in part to the ability of even [[weak selection]] to shape molecular evolution.<ref>{{cite journal | vauthors = Hershberg R, Petrov DA | title = Selection on codon bias | journal = Annual Review of Genetics | volume = 42 | issue = 1 | pages = 287–299 | date = December 2008 | pmid = 18983258 | doi = 10.1146/annurev.genet.42.110807.091442 | s2cid = 7085012 }}</ref> | Selection can occur when an allele confers greater [[fitness (biology)|fitness]], i.e. greater ability to survive or reproduce, on the average individual than carries it. A '''selectionist''' approach emphasizes e.g. that biases in [[codon usage bias|codon usage]] are due at least in part to the ability of even [[weak selection]] to shape molecular evolution.<ref>{{cite journal | vauthors = Hershberg R, Petrov DA | title = Selection on codon bias | journal = Annual Review of Genetics | volume = 42 | issue = 1 | pages = 287–299 | date = December 2008 | pmid = 18983258 | doi = 10.1146/annurev.genet.42.110807.091442 | s2cid = 7085012 }}</ref> | ||
Selection can also operate at the gene level at the expense of organismal fitness, resulting in [[intragenomic conflict]]. This is because there can be a selective advantage for [[Selfish DNA|selfish genetic elements]] in spite of a host cost. Examples of such selfish elements include [[transposable elements]], [[meiotic drive]]rs, and [[Selfish genetic element#Selfish mitochondria|selfish mitochondria]]. | Selection can also operate at the gene level at the expense of organismal fitness, resulting in [[intragenomic conflict]]. This is because there can be a selective advantage for [[Selfish DNA|selfish genetic elements]] in spite of a host cost. Examples of such selfish elements include [[transposable elements]], [[meiotic drive]]rs, and [[Selfish genetic element#Selfish mitochondria|selfish mitochondria]]. {{cn|date=September 2025}} | ||
Selection can be [[Population genetics#Detecting selection|detected]] using the [[Ka/Ks ratio]], the [[McDonald–Kreitman test]]. Rapid [[Adaptation|adaptive evolution]] is often found for genes involved in [[intragenomic conflict]], [[sexual antagonistic coevolution]], and the [[immune system]]. | Selection can be [[Population genetics#Detecting selection|detected]] using the [[Ka/Ks ratio]], the [[McDonald–Kreitman test]]. Rapid [[Adaptation|adaptive evolution]] is often found for genes involved in [[intragenomic conflict]], [[sexual antagonistic coevolution]], and the [[immune system]]. {{cn|date=September 2025}} | ||
===Genetic drift=== | ===Genetic drift=== | ||
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{{Main|Genetic drift}} | {{Main|Genetic drift}} | ||
Genetic drift is the change of allele frequencies from one generation to the next due to stochastic effects of [[random sampling]] in finite populations. These effects can accumulate until a mutation becomes [[Fixation (population genetics)|fixed]] in a [[population]]. For neutral mutations, the rate of fixation per generation is equal to the mutation rate per replication. A relatively constant mutation rate thus produces a constant rate of change per generation (molecular clock). | Genetic drift is the change of allele frequencies from one generation to the next due to stochastic effects of [[random sampling]] in finite populations. These effects can accumulate until a mutation becomes [[Fixation (population genetics)|fixed]] in a [[population]]. For neutral mutations, the rate of fixation per generation is equal to the mutation rate per replication. A relatively constant mutation rate thus produces a constant rate of change per generation (molecular clock). {{cn|date=September 2025}} | ||
Slightly deleterious mutations with a [[selection coefficient]] less than a threshold value of 1 / the [[effective population size]] can also fix. Many genomic features have been ascribed to accumulation of nearly neutral detrimental mutations as a result of small effective population sizes.<ref>{{cite book | vauthors = Lynch M |year=2007|title= The Origins of Genome Architecture |publisher=Sinauer|isbn=978-0-87893-484-3|author-link=Michael Lynch (geneticist)}}</ref> With a smaller effective population size, a larger variety of mutations will behave as if they are neutral due to inefficiency of selection. | Slightly deleterious mutations with a [[selection coefficient]] less than a threshold value of 1 / the [[effective population size]] can also fix. Many genomic features have been ascribed to accumulation of nearly neutral detrimental mutations as a result of small effective population sizes.<ref>{{cite book | vauthors = Lynch M |year=2007|title= The Origins of Genome Architecture |publisher=Sinauer|isbn=978-0-87893-484-3|author-link=Michael Lynch (geneticist)}}</ref> With a smaller effective population size, a larger variety of mutations will behave as if they are neutral due to inefficiency of selection. {{cn|date=September 2025}} | ||
===Gene conversion=== | ===Gene conversion=== | ||
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{{Main|Gene conversion}} | {{Main|Gene conversion}} | ||
Gene conversion occurs during recombination, when nucleotide damage is [[DNA repair|repaired]] using an homologous genomic region as a template. It can be a biased process, i.e. one allele may have a higher probability of being the donor than the other in a gene conversion event. In particular, GC-biased gene conversion tends to increase the [[GC-content]] of genomes, particularly in regions with higher recombination rates.<ref name="Duret_2009">{{cite journal | vauthors = Duret L, Galtier N | title = Biased gene conversion and the evolution of mammalian genomic landscapes | journal = Annual Review of Genomics and Human Genetics | volume = 10 | pages = 285–311 | year = 2009 | pmid = 19630562 | doi = 10.1146/annurev-genom-082908-150001 }}</ref> There is also evidence for GC bias in the mismatch repair process.<ref name="Galtier_2001">{{cite journal | vauthors = Galtier N, Piganeau G, Mouchiroud D, Duret L | title = GC-content evolution in mammalian genomes: the biased gene conversion hypothesis | journal = Genetics | volume = 159 | issue = 2 | pages = 907–911 | date = October 2001 | pmid = 11693127 | pmc = 1461818 | doi = 10.1093/genetics/159.2.907 }}</ref> It is thought that this may be an adaptation to the high rate of methyl-cytosine deamination which can lead to C→T transitions. | Gene conversion occurs during recombination, when nucleotide damage is [[DNA repair|repaired]] using an homologous genomic region as a template. It can be a biased process, i.e. one allele may have a higher probability of being the donor than the other in a gene conversion event. In particular, GC-biased gene conversion tends to increase the [[GC-content]] of genomes, particularly in regions with higher recombination rates.<ref name="Duret_2009">{{cite journal | vauthors = Duret L, Galtier N | title = Biased gene conversion and the evolution of mammalian genomic landscapes | journal = Annual Review of Genomics and Human Genetics | volume = 10 | pages = 285–311 | year = 2009 | pmid = 19630562 | doi = 10.1146/annurev-genom-082908-150001 }}</ref> There is also evidence for GC bias in the mismatch repair process.<ref name="Galtier_2001">{{cite journal | vauthors = Galtier N, Piganeau G, Mouchiroud D, Duret L | title = GC-content evolution in mammalian genomes: the biased gene conversion hypothesis | journal = Genetics | volume = 159 | issue = 2 | pages = 907–911 | date = October 2001 | pmid = 11693127 | pmc = 1461818 | doi = 10.1093/genetics/159.2.907 }}</ref> It is thought that this may be an adaptation to the high rate of methyl-cytosine deamination which can lead to C→T transitions. {{cn|date=September 2025}} | ||
The dynamics of biased gene conversion resemble those of natural selection, in that a favored allele will tend to increase [[Exponential growth|exponentially]] in frequency when rare. | The dynamics of biased gene conversion resemble those of natural selection, in that a favored allele will tend to increase [[Exponential growth|exponentially]] in frequency when rare. {{cn|date=September 2025}} | ||
==Genome architecture== | ==Genome architecture== | ||
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===Genome size=== | ===Genome size=== | ||
{{Main|Genome size}} | {{Main|Genome size}} | ||
Genome size is influenced by the amount of repetitive DNA as well as number of genes in an organism. Some organisms, such as most bacteria, ''Drosophila'', and ''Arabidopsis'' have particularly compact genomes with little repetitive content or non-coding DNA. Other organisms, like mammals or maize, have large amounts of repetitive DNA, long [[introns]], and substantial spacing between genes. The [[C-value paradox]] refers to the lack of correlation between organism 'complexity' and genome size. Explanations for the so-called paradox are two-fold. First, repetitive genetic elements can comprise large portions of the genome for many organisms, thereby inflating DNA content of the haploid genome. Repetitive genetic elements are often descended from [[transposable elements]]. | Genome size is influenced by the amount of repetitive DNA as well as number of genes in an organism. Some organisms, such as most bacteria, ''Drosophila'', and ''Arabidopsis'' have particularly compact genomes with little repetitive content or non-coding DNA. Other organisms, like mammals or maize, have large amounts of repetitive DNA, long [[introns]], and substantial spacing between genes. The [[C-value paradox]] refers to the lack of correlation between organism 'complexity' and genome size. Explanations for the so-called paradox are two-fold. First, repetitive genetic elements can comprise large portions of the genome for many organisms, thereby inflating DNA content of the haploid genome. Repetitive genetic elements are often descended from [[transposable elements]]. {{cn|date=September 2025}} | ||
Secondly, the number of genes is not necessarily indicative of the number of developmental stages or tissue types in an organism. An organism with few developmental stages or tissue types may have large numbers of genes that influence non-developmental phenotypes, inflating gene content relative to developmental gene families. | Secondly, the number of genes is not necessarily indicative of the number of developmental stages or tissue types in an organism. An organism with few developmental stages or tissue types may have large numbers of genes that influence non-developmental phenotypes, inflating gene content relative to developmental gene families. {{cn|date=September 2025}} | ||
Neutral explanations for genome size suggest that when population sizes are small, many mutations become nearly neutral. Hence, in small populations repetitive content and other [[junk DNA|'junk' DNA]] can accumulate without placing the organism at a competitive disadvantage. There is little evidence to suggest that genome size is under strong widespread selection in multicellular eukaryotes. Genome size, independent of gene content, correlates poorly with most physiological traits and many eukaryotes, including mammals, harbor very large amounts of repetitive DNA. | Neutral explanations for genome size suggest that when population sizes are small, many mutations become nearly neutral. Hence, in small populations repetitive content and other [[junk DNA|'junk' DNA]] can accumulate without placing the organism at a competitive disadvantage. There is little evidence to suggest that genome size is under strong widespread selection in multicellular eukaryotes. Genome size, independent of gene content, correlates poorly with most physiological traits and many eukaryotes, including mammals, harbor very large amounts of repetitive DNA. {{cn|date=September 2025}} | ||
However, [[birds]] likely have experienced strong selection for reduced genome size, in response to changing energetic needs for flight. Birds, unlike humans, produce nucleated red blood cells, and larger nuclei lead to lower levels of oxygen transport. Bird metabolism is far higher than that of mammals, due largely to flight, and oxygen needs are high. Hence, most birds have small, compact genomes with few repetitive elements. Indirect evidence suggests that non-avian theropod dinosaur ancestors of modern birds<ref>{{cite journal | vauthors = Organ CL, Shedlock AM, Meade A, Pagel M, Edwards SV | title = Origin of avian genome size and structure in non-avian dinosaurs | journal = Nature | volume = 446 | issue = 7132 | pages = 180–184 | date = March 2007 | pmid = 17344851 | doi = 10.1038/nature05621 | s2cid = 3031794 | bibcode = 2007Natur.446..180O }}</ref> also had reduced genome sizes, consistent with endothermy and high energetic needs for running speed. Many bacteria have also experienced selection for small genome size, as time of replication and energy consumption are so tightly correlated with fitness. | However, [[birds]] likely have experienced strong selection for reduced genome size, in response to changing energetic needs for flight. Birds, unlike humans, produce nucleated red blood cells, and larger nuclei lead to lower levels of oxygen transport. Bird metabolism is far higher than that of mammals, due largely to flight, and oxygen needs are high. Hence, most birds have small, compact genomes with few repetitive elements. Indirect evidence suggests that non-avian theropod dinosaur ancestors of modern birds<ref>{{cite journal | vauthors = Organ CL, Shedlock AM, Meade A, Pagel M, Edwards SV | title = Origin of avian genome size and structure in non-avian dinosaurs | journal = Nature | volume = 446 | issue = 7132 | pages = 180–184 | date = March 2007 | pmid = 17344851 | doi = 10.1038/nature05621 | s2cid = 3031794 | bibcode = 2007Natur.446..180O }}</ref> also had reduced genome sizes, consistent with endothermy and high energetic needs for running speed. Many bacteria have also experienced selection for small genome size, as time of replication and energy consumption are so tightly correlated with fitness. {{cn|date=September 2025}} | ||
===Chromosome number and organization=== | ===Chromosome number and organization=== | ||
The ant ''Myrmecia pilosula'' has only a single pair of chromosomes<ref name=Crosland>{{cite journal | vauthors = Crosland MW, Crozier RH | title = Myrmecia pilosula, an Ant with Only One Pair of Chromosomes | journal = Science | volume = 231 | issue = 4743 | | The ant ''Myrmecia pilosula'' has only a single pair of chromosomes<ref name=Crosland>{{cite journal | vauthors = Crosland MW, Crozier RH | title = Myrmecia pilosula, an Ant with Only One Pair of Chromosomes | journal = Science | volume = 231 | issue = 4743 | page = 1278 | date = March 1986 | pmid = 17839565 | doi = 10.1126/science.231.4743.1278 | s2cid = 25465053 | bibcode = 1986Sci...231.1278C }}</ref> whereas the Adders-tongue fern ''[[Ophioglossum]] reticulatum'' has up to 1260 chromosomes.<ref name="Grubben2004">{{cite book|author=Gerardus J. H. Grubben|title=Vegetables|url=https://archive.org/details/bub_gb_6jrlyOPfr24C|access-date=10 March 2013|year=2004|publisher=PROTA|isbn=978-90-5782-147-9|page=[https://archive.org/details/bub_gb_6jrlyOPfr24C/page/n404 404]}}</ref> The [[List of organisms by chromosome count|number of chromosomes]] in an organism's genome does not necessarily correlate with the amount of DNA in its genome. The genome-wide amount of [[Genetic recombination|recombination]] is directly controlled by the number of chromosomes, with one [[Chromosomal crossover|crossover]] per chromosome or per chromosome arm, depending on the species.<ref>{{cite journal |last1=Pardo-Manuel de Villena |first1=Fernando |last2=Sapienza |first2=Carmen |title=Recombination is proportional to the number of chromosome arms in mammals |journal=Mammalian Genome |date=April 2001 |volume=12 |issue=4 |pages=318–322 |doi=10.1007/s003350020005|pmid=11309665 }}</ref> | ||
Changes in chromosome number can play a key role in [[speciation]], as differing chromosome numbers can serve as a [[Reproductive isolation|barrier to reproduction]] in hybrids. Human [[chromosome 2]] was created from a fusion of two chimpanzee chromosomes and still contains central [[telomeres]] as well as a vestigial second [[centromere]]. [[Polyploidy]], especially allopolyploidy, which occurs often in plants, can also result in reproductive incompatibilities with parental species. ''Agrodiatus'' blue butterflies have diverse chromosome numbers ranging from n=10 to n=134 and additionally have one of the highest rates of speciation identified to date.<ref name="Butterflies">{{cite journal | vauthors = Kandul NP, Lukhtanov VA, Pierce NE | title = Karyotypic diversity and speciation in Agrodiaetus butterflies | journal = Evolution; International Journal of Organic Evolution | volume = 61 | issue = 3 | pages = 546–559 | date = March 2007 | pmid = 17348919 | doi = 10.1111/j.1558-5646.2007.00046.x | doi-access = free }}</ref> | Changes in chromosome number can play a key role in [[speciation]], as differing chromosome numbers can serve as a [[Reproductive isolation|barrier to reproduction]] in hybrids. Human [[chromosome 2]] was created from a fusion of two chimpanzee chromosomes and still contains central [[telomeres]] as well as a vestigial second [[centromere]]. [[Polyploidy]], especially allopolyploidy, which occurs often in plants, can also result in reproductive incompatibilities with parental species. ''Agrodiatus'' blue butterflies have diverse chromosome numbers ranging from n=10 to n=134 and additionally have one of the highest rates of speciation identified to date.<ref name="Butterflies">{{cite journal | vauthors = Kandul NP, Lukhtanov VA, Pierce NE | title = Karyotypic diversity and speciation in Agrodiaetus butterflies | journal = Evolution; International Journal of Organic Evolution | volume = 61 | issue = 3 | pages = 546–559 | date = March 2007 | pmid = 17348919 | doi = 10.1111/j.1558-5646.2007.00046.x | doi-access = free }}</ref> | ||
[[Cilliate]] genomes house each gene in individual chromosomes. | [[Cilliate]] genomes house each gene in individual chromosomes. {{cn|date=September 2025}} | ||
===Organelles=== | ===Organelles=== | ||
{{Main|Organelle}} | {{Main|Organelle}} | ||
[[File:Animal cells SwissBioPics DL20221120.svg|thumb|150x150px|Animal cell showing organelles.]] | [[File:Animal cells SwissBioPics DL20221120.svg|thumb|150x150px|Animal cell showing organelles.]] | ||
In addition to the [[Nuclear DNA|nuclear genome]], endosymbiont organelles contain their own genetic material. [[Mitochondrion|Mitochondrial]] and [[chloroplast]] DNA varies across taxa, but [[Membrane-bound protein (disambiguation)|membrane-bound protein]]s, especially [[electron transport chain]] constituents are most often encoded in the organelle. Chloroplasts and [[Mitochondrion|mitochondria]] are maternally inherited in most species, as the organelles must pass through the [[Egg cell|egg]]. In a rare departure, some species of [[mussel]]s are known to inherit mitochondria from father to son. | In addition to the [[Nuclear DNA|nuclear genome]], endosymbiont organelles contain their own genetic material. [[Mitochondrion|Mitochondrial]] and [[chloroplast]] DNA varies across taxa, but [[Membrane-bound protein (disambiguation)|membrane-bound protein]]s, especially [[electron transport chain]] constituents are most often encoded in the organelle. Chloroplasts and [[Mitochondrion|mitochondria]] are maternally inherited in most species, as the organelles must pass through the [[Egg cell|egg]]. In a rare departure, some species of [[mussel]]s are known to inherit mitochondria from father to son. {{cn|date=September 2025}} | ||
==Origins of new genes== | ==Origins of new genes== | ||
New [[gene]]s arise from several different genetic mechanisms including [[gene duplication]], [[de novo gene birth|''de novo'' gene birth]], [[Gene duplication#Retrotransposition|retrotransposition]], [[chimeric gene]] formation, recruitment of non-coding sequence into an existing gene, and gene truncation. | New [[gene]]s arise from several different genetic mechanisms including [[gene duplication]], [[de novo gene birth|''de novo'' gene birth]], [[Gene duplication#Retrotransposition|retrotransposition]], [[chimeric gene]] formation, recruitment of non-coding sequence into an existing gene, and gene truncation. {{cn|date=September 2025}} | ||
[[Gene duplication]] initially leads to redundancy. However, duplicated gene sequences can mutate to develop [[Neofunctionalization|new functions]] or [[Subfunctionalization|specialize]] so that the new gene performs a subset of the original ancestral functions. [[Retrotransposition]] duplicates genes by copying [[mRNA]] to DNA and inserting it into the genome. Retrogenes generally insert into new genomic locations, lack [[intron]]s, and sometimes develop new expression patterns and functions. | [[Gene duplication]] initially leads to redundancy. However, duplicated gene sequences can mutate to develop [[Neofunctionalization|new functions]] or [[Subfunctionalization|specialize]] so that the new gene performs a subset of the original ancestral functions. [[Retrotransposition]] duplicates genes by copying [[mRNA]] to DNA and inserting it into the genome. Retrogenes generally insert into new genomic locations, lack [[intron]]s, and sometimes develop new expression patterns and functions. {{cn|date=September 2025}} | ||
[[Chimeric gene]]s form when duplication, deletion, or incomplete retrotransposition combines portions of two different coding sequences to produce a novel gene sequence. Chimeras often cause regulatory changes and can shuffle protein domains to produce novel adaptive functions. | [[Chimeric gene]]s form when duplication, deletion, or incomplete retrotransposition combines portions of two different coding sequences to produce a novel gene sequence. Chimeras often cause regulatory changes and can shuffle protein domains to produce novel adaptive functions. {{cn|date=September 2025}} | ||
[[De novo gene birth|''De novo'' gene birth]] can give rise to protein-coding genes and non-coding genes from previously non-functional DNA.<ref>{{cite journal | vauthors = McLysaght A, Guerzoni D | title = New genes from non-coding sequence: the role of de novo protein-coding genes in eukaryotic evolutionary innovation | journal = Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences | volume = 370 | issue = 1678 | | [[De novo gene birth|''De novo'' gene birth]] can give rise to protein-coding genes and non-coding genes from previously non-functional DNA.<ref>{{cite journal | vauthors = McLysaght A, Guerzoni D | title = New genes from non-coding sequence: the role of de novo protein-coding genes in eukaryotic evolutionary innovation | journal = Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences | volume = 370 | issue = 1678 | article-number = 20140332 | date = September 2015 | pmid = 26323763 | pmc = 4571571 | doi = 10.1098/rstb.2014.0332 }}</ref> For instance, Levine and colleagues reported the origin of five new genes in the ''D. melanogaster'' genome.<ref name="j3" /><ref name="j4" /> Similar ''de novo'' origin of genes has also been shown in other organisms such as yeast,<ref name="j5" /> rice<ref name="j6" /> and humans.<ref name="j7" /> ''De novo'' genes may evolve from spurious transcripts that are already expressed at low levels.<ref>{{cite journal | vauthors = Wilson BA, Masel J | title = Putatively noncoding transcripts show extensive association with ribosomes | journal = Genome Biology and Evolution | volume = 3 | pages = 1245–1252 | year = 2011 | pmid = 21948395 | pmc = 3209793 | doi = 10.1093/gbe/evr099 }}</ref> | ||
==Constructive neutral evolution== | ==Constructive neutral evolution== | ||
{{Main|Constructive neutral evolution}} | {{Main|Constructive neutral evolution}} | ||
[[Constructive neutral evolution]] (CNE) explains that complex systems can emerge and spread into a population through neutral transitions with the principles of excess capacity, presuppression, and ratcheting,<ref>{{cite journal | vauthors = Stoltzfus A | title = On the possibility of constructive neutral evolution | journal = Journal of Molecular Evolution | volume = 49 | issue = 2 | pages = 169–181 | date = August 1999 | pmid = 10441669 | doi = 10.1007/PL00006540 | bibcode = 1999JMolE..49..169S | s2cid = 1743092 }}</ref><ref>{{cite journal | vauthors = Stoltzfus A | title = Constructive neutral evolution: exploring evolutionary theory's curious disconnect | journal = Biology Direct | volume = 7 | issue = 1 | | [[Constructive neutral evolution]] (CNE) explains that complex systems can emerge and spread into a population through neutral transitions with the principles of excess capacity, presuppression, and ratcheting,<ref>{{cite journal | vauthors = Stoltzfus A | title = On the possibility of constructive neutral evolution | journal = Journal of Molecular Evolution | volume = 49 | issue = 2 | pages = 169–181 | date = August 1999 | pmid = 10441669 | doi = 10.1007/PL00006540 | bibcode = 1999JMolE..49..169S | s2cid = 1743092 }}</ref><ref>{{cite journal | vauthors = Stoltzfus A | title = Constructive neutral evolution: exploring evolutionary theory's curious disconnect | journal = Biology Direct | volume = 7 | issue = 1 | page = 35 | date = October 2012 | pmid = 23062217 | pmc = 3534586 | doi = 10.1186/1745-6150-7-35 | doi-access = free }}</ref><ref>{{cite journal | vauthors = Muñoz-Gómez SA, Bilolikar G, Wideman JG, Geiler-Samerotte K | title = Constructive Neutral Evolution 20 Years Later | journal = Journal of Molecular Evolution | volume = 89 | issue = 3 | pages = 172–182 | date = April 2021 | pmid = 33604782 | pmc = 7982386 | doi = 10.1007/s00239-021-09996-y | bibcode = 2021JMolE..89..172M }}</ref> and it has been applied in areas ranging from the origins of the [[spliceosome]] to the complex interdependence of [[Microbial consortium|microbial communities]].<ref>{{cite journal | vauthors = Lukeš J, Archibald JM, Keeling PJ, Doolittle WF, Gray MW | title = How a neutral evolutionary ratchet can build cellular complexity | journal = IUBMB Life | volume = 63 | issue = 7 | pages = 528–537 | date = July 2011 | pmid = 21698757 | doi = 10.1002/iub.489 | s2cid = 7306575 }}</ref><ref>{{cite journal | vauthors = Vosseberg J, Snel B | title = Domestication of self-splicing introns during eukaryogenesis: the rise of the complex spliceosomal machinery | journal = Biology Direct | volume = 12 | issue = 1 | page = 30 | date = December 2017 | pmid = 29191215 | pmc = 5709842 | doi = 10.1186/s13062-017-0201-6 | doi-access = free }}</ref><ref>{{Cite journal | vauthors = Brunet TD, Doolittle WF |date=19 March 2018 |title=The generality of Constructive Neutral Evolution |journal=Biology & Philosophy |language=en |volume=33 |issue=1 |page=2 |doi=10.1007/s10539-018-9614-6 |issn=1572-8404 |s2cid=90290787|url=https://www.repository.cam.ac.uk/handle/1810/278897 |url-access=subscription }}</ref> | ||
==Journals and societies== | ==Journals and societies== | ||
The Society for Molecular Biology and Evolution publishes the journals "Molecular Biology and Evolution" and "Genome Biology and Evolution" and holds an annual international meeting. Other journals dedicated to molecular evolution include ''Journal of Molecular Evolution'' and ''Molecular Phylogenetics and Evolution''. Research in molecular evolution is also published in journals of [[genetics]], [[molecular biology]], [[genomics]], [[systematics]], and [[evolutionary biology]]. | The Society for Molecular Biology and Evolution publishes the journals "Molecular Biology and Evolution" and "Genome Biology and Evolution" and holds an annual international meeting. Other journals dedicated to molecular evolution include ''Journal of Molecular Evolution'' and ''Molecular Phylogenetics and Evolution''. Research in molecular evolution is also published in journals of [[genetics]], [[molecular biology]], [[genomics]], [[systematics]], and [[evolutionary biology]]. {{cn|date=September 2025}} | ||
== See also == | == See also == | ||
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<ref name=j5>{{cite journal | vauthors = Cai J, Zhao R, Jiang H, Wang W | title = De novo origination of a new protein-coding gene in Saccharomyces cerevisiae | journal = Genetics | volume = 179 | issue = 1 | pages = 487–496 | date = May 2008 | pmid = 18493065 | pmc = 2390625 | doi = 10.1534/genetics.107.084491 }}</ref> | <ref name=j5>{{cite journal | vauthors = Cai J, Zhao R, Jiang H, Wang W | title = De novo origination of a new protein-coding gene in Saccharomyces cerevisiae | journal = Genetics | volume = 179 | issue = 1 | pages = 487–496 | date = May 2008 | pmid = 18493065 | pmc = 2390625 | doi = 10.1534/genetics.107.084491 }}</ref> | ||
<ref name=j6>{{cite journal | vauthors = Xiao W, Liu H, Li Y, Li X, Xu C, Long M, Wang S | title = A rice gene of de novo origin negatively regulates pathogen-induced defense response | journal = PLOS ONE | volume = 4 | issue = 2 | | <ref name=j6>{{cite journal | vauthors = Xiao W, Liu H, Li Y, Li X, Xu C, Long M, Wang S | title = A rice gene of de novo origin negatively regulates pathogen-induced defense response | journal = PLOS ONE | volume = 4 | issue = 2 | article-number = e4603 | year = 2009 | pmid = 19240804 | pmc = 2643483 | doi = 10.1371/journal.pone.0004603 | veditors = El-Shemy HA | doi-access = free | bibcode = 2009PLoSO...4.4603X }}</ref> | ||
<ref name=j7>{{cite journal | vauthors = Knowles DG, McLysaght A | title = Recent de novo origin of human protein-coding genes | journal = Genome Research | volume = 19 | issue = 10 | pages = 1752–1759 | date = October 2009 | pmid = 19726446 | pmc = 2765279 | doi = 10.1101/gr.095026.109 }}</ref> | <ref name=j7>{{cite journal | vauthors = Knowles DG, McLysaght A | title = Recent de novo origin of human protein-coding genes | journal = Genome Research | volume = 19 | issue = 10 | pages = 1752–1759 | date = October 2009 | pmid = 19726446 | pmc = 2765279 | doi = 10.1101/gr.095026.109 }}</ref> | ||
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* {{cite book | vauthors = Li WH |author-link=Wen-Hsiung Li |year=2006 |title= Molecular Evolution |publisher=Sinauer|isbn=0-87893-480-4 }} | * {{cite book | vauthors = Li WH |author-link=Wen-Hsiung Li |year=2006 |title= Molecular Evolution |publisher=Sinauer|isbn=0-87893-480-4 }} | ||
* {{cite book | vauthors = Lynch M |author-link=Michael Lynch (geneticist) |year=2007|title= The Origins of Genome Architecture |publisher=Sinauer|isbn=978-0-87893-484-3}} | * {{cite book | vauthors = Lynch M |author-link=Michael Lynch (geneticist) |year=2007|title= The Origins of Genome Architecture |publisher=Sinauer|isbn=978-0-87893-484-3}} | ||
* {{cite book | veditors = Meyer A, van de Peer Y |title=Genome evolution : gene and genome duplications and the origin of novel gene functions |date=2003 |publisher=Kluwer Academic Pub |location=Dordrecht |isbn=978-1-4020-1021-7}} | * {{cite book | veditors = Meyer A, van de Peer Y |title=Genome evolution: gene and genome duplications and the origin of novel gene functions |date=2003 |publisher=Kluwer Academic Pub |location=Dordrecht |isbn=978-1-4020-1021-7}} | ||
* {{cite book | vauthors = Gregory TR |title=The evolution of the genome |date=2005 |publisher=Elsevier Academic |location=Burlington, MA |isbn=978-0-12-301463-4}} | * {{cite book | vauthors = Gregory TR |title=The evolution of the genome |date=2005 |publisher=Elsevier Academic |location=Burlington, MA |isbn=978-0-12-301463-4}} | ||
* {{cite book | vauthors = Levinson G |title=Rethinking evolution : the revolution that's hiding in plain sight |date=2020 |location=London | publisher = World Scientific |isbn=978-1-78634-726-8}} | * {{cite book | vauthors = Levinson G |title=Rethinking evolution: the revolution that's hiding in plain sight |date=2020 |location=London | publisher = World Scientific |isbn=978-1-78634-726-8}} | ||
* {{cite book |name-list-style=vanc | last1 = Graur |first1 = D |author-link1=Dan Graur |last2=Li |first2=WH |author-link2=Wen-Hsiung Li |year=2000 |title=Fundamentals of molecular evolution |publisher=Sinauer |isbn=0-87893-266-6}} | * {{cite book |name-list-style=vanc | last1 = Graur |first1 = D |author-link1=Dan Graur |last2=Li |first2=WH |author-link2=Wen-Hsiung Li |year=2000 |title=Fundamentals of molecular evolution |publisher=Sinauer |isbn=0-87893-266-6}} | ||
* {{cite book | vauthors = Graur D |author-link=Dan Graur |title=Molecular and genome evolution |date=2016 |publisher=Sinauer associates, Inc |location=Sunderland (Mass.) |isbn=978- | * {{cite book | vauthors = Graur D |author-link=Dan Graur |title=Molecular and genome evolution |date=2016 |publisher=Sinauer associates, Inc |location=Sunderland (Mass.) |isbn=978-1-60535-469-9}} | ||
{{refend}} | {{refend}} | ||
Latest revision as of 08:56, 30 September 2025
Template:Short description Script error: No such module "Sidebar". Molecular evolution describes how inherited DNA and/or RNA change over evolutionary time, and the consequences of this for proteins and other components of cells and organisms. Molecular evolution is the basis of phylogenetic approaches to describing the tree of life. Molecular evolution overlaps with population genetics, especially on shorter timescales. Topics in molecular evolution include the origins of new genes, the genetic nature of complex traits, the genetic basis of adaptation and speciation, the evolution of development, and patterns and processes underlying genomic changes during evolution.
History
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The history of molecular evolution starts in the early 20th century with comparative biochemistry, and the use of "fingerprinting" methods such as immune assays, gel electrophoresis, and paper chromatography in the 1950s to explore homologous proteins.[1][2] The advent of protein sequencing allowed molecular biologists to create phylogenies based on sequence comparison, and to use the differences between homologous sequences as a molecular clock to estimate the time since the most recent common ancestor.[3][1] The surprisingly large amount of molecular divergence within and between species inspired the neutral theory of molecular evolution in the late 1960s.[4][5][6] Neutral theory also provided a theoretical basis for the molecular clock, although this is not needed for the clock's validity. After the 1970s, nucleic acid sequencing allowed molecular evolution to reach beyond proteins to highly conserved ribosomal RNA sequences, the foundation of a reconceptualization of the early history of life.[1] The Society for Molecular Biology and Evolution was founded in 1982. Script error: No such module "Unsubst".
Molecular phylogenetics
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Molecular phylogenetics uses DNA, RNA, or protein sequences to resolve questions in systematics, i.e. about their correct scientific classification from the point of view of evolutionary history. The result of a molecular phylogenetic analysis is expressed in a phylogenetic tree. Phylogenetic inference is conducted using data from DNA sequencing. This is aligned to identify which sites are homologous. A substitution model describes what patterns are expected to be common or rare. Sophisticated computational inference is then used to generate one or more plausible trees. Script error: No such module "Unsubst".
Some phylogenetic methods account for variation among sites and among tree branches. Different genes, e.g. hemoglobin vs. cytochrome c, generally evolve at different rates.[7] These rates are relatively constant over time (e.g., hemoglobin does not evolve at the same rate as cytochrome c, but hemoglobins from humans, mice, etc. do have comparable rates of evolution), although rapid evolution along one branch can indicate increased directional selection on that branch.[8] Purifying selection causes functionally important regions to evolve more slowly, and amino acid substitutions involving similar amino acids occurs more often than dissimilar substitutions.[7]
Gene family evolution
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Gene duplication can produce multiple homologous proteins (paralogs) within the same species. Phylogenetic analysis of proteins has revealed how proteins evolve and change their structure and function over time.[9][10]
For example, ribonucleotide reductase (RNR) has evolved a multitude of structural and functional variants. Class I RNRs use a ferritin subunit and differ by the metal they use as cofactors. In class II RNRs, the thiyl radical is generated using an adenosylcobalamin cofactor and these enzymes do not require additional subunits (as opposed to class I which do). In class III RNRs, the thiyl radical is generated using S-adenosylmethionine bound to a [4Fe-4S] cluster. That is, within a single family of proteins numerous structural and functional mechanisms can evolve.[11]
In a proof-of-concept study, Bhattacharya and colleagues converted myoglobin, a non-enzymatic oxygen storage protein, into a highly efficient Kemp eliminase using only three mutations. This demonstrates that only few mutations are needed to radically change the function of a protein.[12] Directed evolution is the attempt to engineer proteins using methods inspired by molecular evolution.
Molecular evolution at one site
Change at one locus begins with a new mutation, which might become fixed due to some combination of natural selection, genetic drift, and gene conversion. Script error: No such module "Unsubst".
Mutation
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Mutations are permanent, transmissible changes to the genetic material (DNA or RNA) of a cell or virus. Mutations result from errors in DNA replication during cell division and by exposure to radiation, chemicals, other environmental stressors, viruses, or transposable elements. When point mutations to just one base-pair of the DNA fall within a region coding for a protein, they are characterized by whether they are synonymous (do not change the amino acid sequence) or non-synonymous. Other types of mutations modify larger segments of DNA and can cause duplications, insertions, deletions, inversions, and translocations.[13]
The distribution of rates for diverse kinds of mutations is called the "mutation spectrum" (see App. B of [14]). Mutations of different types occur at widely varying rates. Point mutation rates for most organisms are very low, roughly 10−9 to 10−8 per site per generation,[15] though some viruses have higher mutation rates on the order of 10−6 per site per generation.[16] Transitions (A ↔ G or C ↔ T) are more common than transversions (purine (adenine or guanine)) ↔ pyrimidine (cytosine or thymine, or in RNA, uracil)).[17] Perhaps the most common type of mutation in humans is a change in the length of a short tandem repeat (e.g., the CAG repeats underlying various disease-associated mutations). Such STR mutations may occur at rates on the order of 10−3 per generation.[18]
Different frequencies of different types of mutations can play an important role in evolution via bias in the introduction of variation (arrival bias), contributing to parallelism, trends, and differences in the navigability of adaptive landscapes.[19][20] Mutation bias makes systematic or predictable contributions to parallel evolution.[14] Since the 1960s, genomic GC content has been thought to reflect mutational tendencies.[21][22] Mutational biases also contribute to codon usage bias.[23] Although such hypotheses are often associated with neutrality, recent theoretical and empirical results have established that mutational tendencies can influence both neutral and adaptive evolution via bias in the introduction of variation (arrival bias). Script error: No such module "Unsubst".
Selection
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Selection can occur when an allele confers greater fitness, i.e. greater ability to survive or reproduce, on the average individual than carries it. A selectionist approach emphasizes e.g. that biases in codon usage are due at least in part to the ability of even weak selection to shape molecular evolution.[24]
Selection can also operate at the gene level at the expense of organismal fitness, resulting in intragenomic conflict. This is because there can be a selective advantage for selfish genetic elements in spite of a host cost. Examples of such selfish elements include transposable elements, meiotic drivers, and selfish mitochondria. Script error: No such module "Unsubst".
Selection can be detected using the Ka/Ks ratio, the McDonald–Kreitman test. Rapid adaptive evolution is often found for genes involved in intragenomic conflict, sexual antagonistic coevolution, and the immune system. Script error: No such module "Unsubst".
Genetic drift
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Genetic drift is the change of allele frequencies from one generation to the next due to stochastic effects of random sampling in finite populations. These effects can accumulate until a mutation becomes fixed in a population. For neutral mutations, the rate of fixation per generation is equal to the mutation rate per replication. A relatively constant mutation rate thus produces a constant rate of change per generation (molecular clock). Script error: No such module "Unsubst".
Slightly deleterious mutations with a selection coefficient less than a threshold value of 1 / the effective population size can also fix. Many genomic features have been ascribed to accumulation of nearly neutral detrimental mutations as a result of small effective population sizes.[25] With a smaller effective population size, a larger variety of mutations will behave as if they are neutral due to inefficiency of selection. Script error: No such module "Unsubst".
Gene conversion
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Gene conversion occurs during recombination, when nucleotide damage is repaired using an homologous genomic region as a template. It can be a biased process, i.e. one allele may have a higher probability of being the donor than the other in a gene conversion event. In particular, GC-biased gene conversion tends to increase the GC-content of genomes, particularly in regions with higher recombination rates.[26] There is also evidence for GC bias in the mismatch repair process.[27] It is thought that this may be an adaptation to the high rate of methyl-cytosine deamination which can lead to C→T transitions. Script error: No such module "Unsubst".
The dynamics of biased gene conversion resemble those of natural selection, in that a favored allele will tend to increase exponentially in frequency when rare. Script error: No such module "Unsubst".
Genome architecture
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Genome size
Script error: No such module "Labelled list hatnote". Genome size is influenced by the amount of repetitive DNA as well as number of genes in an organism. Some organisms, such as most bacteria, Drosophila, and Arabidopsis have particularly compact genomes with little repetitive content or non-coding DNA. Other organisms, like mammals or maize, have large amounts of repetitive DNA, long introns, and substantial spacing between genes. The C-value paradox refers to the lack of correlation between organism 'complexity' and genome size. Explanations for the so-called paradox are two-fold. First, repetitive genetic elements can comprise large portions of the genome for many organisms, thereby inflating DNA content of the haploid genome. Repetitive genetic elements are often descended from transposable elements. Script error: No such module "Unsubst".
Secondly, the number of genes is not necessarily indicative of the number of developmental stages or tissue types in an organism. An organism with few developmental stages or tissue types may have large numbers of genes that influence non-developmental phenotypes, inflating gene content relative to developmental gene families. Script error: No such module "Unsubst".
Neutral explanations for genome size suggest that when population sizes are small, many mutations become nearly neutral. Hence, in small populations repetitive content and other 'junk' DNA can accumulate without placing the organism at a competitive disadvantage. There is little evidence to suggest that genome size is under strong widespread selection in multicellular eukaryotes. Genome size, independent of gene content, correlates poorly with most physiological traits and many eukaryotes, including mammals, harbor very large amounts of repetitive DNA. Script error: No such module "Unsubst".
However, birds likely have experienced strong selection for reduced genome size, in response to changing energetic needs for flight. Birds, unlike humans, produce nucleated red blood cells, and larger nuclei lead to lower levels of oxygen transport. Bird metabolism is far higher than that of mammals, due largely to flight, and oxygen needs are high. Hence, most birds have small, compact genomes with few repetitive elements. Indirect evidence suggests that non-avian theropod dinosaur ancestors of modern birds[28] also had reduced genome sizes, consistent with endothermy and high energetic needs for running speed. Many bacteria have also experienced selection for small genome size, as time of replication and energy consumption are so tightly correlated with fitness. Script error: No such module "Unsubst".
Chromosome number and organization
The ant Myrmecia pilosula has only a single pair of chromosomes[29] whereas the Adders-tongue fern Ophioglossum reticulatum has up to 1260 chromosomes.[30] The number of chromosomes in an organism's genome does not necessarily correlate with the amount of DNA in its genome. The genome-wide amount of recombination is directly controlled by the number of chromosomes, with one crossover per chromosome or per chromosome arm, depending on the species.[31]
Changes in chromosome number can play a key role in speciation, as differing chromosome numbers can serve as a barrier to reproduction in hybrids. Human chromosome 2 was created from a fusion of two chimpanzee chromosomes and still contains central telomeres as well as a vestigial second centromere. Polyploidy, especially allopolyploidy, which occurs often in plants, can also result in reproductive incompatibilities with parental species. Agrodiatus blue butterflies have diverse chromosome numbers ranging from n=10 to n=134 and additionally have one of the highest rates of speciation identified to date.[32]
Cilliate genomes house each gene in individual chromosomes. Script error: No such module "Unsubst".
Organelles
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In addition to the nuclear genome, endosymbiont organelles contain their own genetic material. Mitochondrial and chloroplast DNA varies across taxa, but membrane-bound proteins, especially electron transport chain constituents are most often encoded in the organelle. Chloroplasts and mitochondria are maternally inherited in most species, as the organelles must pass through the egg. In a rare departure, some species of mussels are known to inherit mitochondria from father to son. Script error: No such module "Unsubst".
Origins of new genes
New genes arise from several different genetic mechanisms including gene duplication, de novo gene birth, retrotransposition, chimeric gene formation, recruitment of non-coding sequence into an existing gene, and gene truncation. Script error: No such module "Unsubst".
Gene duplication initially leads to redundancy. However, duplicated gene sequences can mutate to develop new functions or specialize so that the new gene performs a subset of the original ancestral functions. Retrotransposition duplicates genes by copying mRNA to DNA and inserting it into the genome. Retrogenes generally insert into new genomic locations, lack introns, and sometimes develop new expression patterns and functions. Script error: No such module "Unsubst".
Chimeric genes form when duplication, deletion, or incomplete retrotransposition combines portions of two different coding sequences to produce a novel gene sequence. Chimeras often cause regulatory changes and can shuffle protein domains to produce novel adaptive functions. Script error: No such module "Unsubst".
De novo gene birth can give rise to protein-coding genes and non-coding genes from previously non-functional DNA.[33] For instance, Levine and colleagues reported the origin of five new genes in the D. melanogaster genome.[34][35] Similar de novo origin of genes has also been shown in other organisms such as yeast,[36] rice[37] and humans.[38] De novo genes may evolve from spurious transcripts that are already expressed at low levels.[39]
Constructive neutral evolution
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Constructive neutral evolution (CNE) explains that complex systems can emerge and spread into a population through neutral transitions with the principles of excess capacity, presuppression, and ratcheting,[40][41][42] and it has been applied in areas ranging from the origins of the spliceosome to the complex interdependence of microbial communities.[43][44][45]
Journals and societies
The Society for Molecular Biology and Evolution publishes the journals "Molecular Biology and Evolution" and "Genome Biology and Evolution" and holds an annual international meeting. Other journals dedicated to molecular evolution include Journal of Molecular Evolution and Molecular Phylogenetics and Evolution. Research in molecular evolution is also published in journals of genetics, molecular biology, genomics, systematics, and evolutionary biology. Script error: No such module "Unsubst".
See also
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- Evolution
- E. coli long-term evolution experiment
- Evolutionary physiology
- Genomic organization
- Genome evolution
- Heterotachy
- History of molecular evolution
- Horizontal gene transfer
- Human evolution
- Molecular clock
- Molecular paleontology
- Nearly neutral theory of molecular evolution
- Neutral theory of molecular evolution
- Nucleotide diversity
- Phylogenetic comparative methods
- Phylogenetics
- Population genetics
- Selection
References
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- ↑ Yang, J. (2016, March 23). What are Genetic Mutation? Retrieved from https://www.singerinstruments.com/resource/what-are-genetic-mutation/ .
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Further reading
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Category: molecular evolution (kimura 1968)