Theevolution of biological complexity is one important outcome of the process ofevolution.[1] Evolution has produced some remarkably complex organisms – although the actual level of complexity is very hard to define or measure accurately in biology, with properties such as gene content, the number ofcell types ormorphology all proposed as possible metrics.[2][3][4]
Many biologists used to believe thatevolution was progressive (orthogenesis) and had a direction that led towards so-called "higher organisms", despite a lack of evidence for this viewpoint.[5] This idea of "progression" introduced the terms "high animals" and "low animals" in evolution. Many now regard this as misleading, withnatural selection having no intrinsic direction and that organisms selected for either increased or decreased complexity in response to local environmental conditions.[6] Although there has been an increase in the maximum level of complexity over thehistory of life, there has always been a large majority of small and simple organisms and themost common level of complexity appears to have remained relatively constant.
Usually organisms that have a higher rate of reproduction than their competitors have an evolutionary advantage. Consequently, organisms can evolve to become simpler and thus multiply faster and produce more offspring, as they require fewer resources to reproduce. A good example are parasites such asPlasmodium – the parasite responsible formalaria – andmycoplasma; these organisms often dispense with traits that are made unnecessary through parasitism on a host.[7]
Alineage can also dispense with complexity when a particular complex trait merely provides no selective advantage in a particular environment. Loss of this trait need not necessarily confer a selective advantage, but may be lost due to the accumulation ofmutations if its loss does not confer an immediate selective disadvantage.[8] For example, aparasitic organism may dispense with the synthetic pathway of ametabolite where it can readily scavenge that metabolite from its host. Discarding this synthesis may not necessarily allow the parasite to conserve significant energy or resources and grow faster, but the loss may be fixed in the population through mutation accumulation if no disadvantage is incurred by loss of that pathway. Mutations causing loss of a complex trait occur more often than mutations causing gain of a complex trait.[citation needed]
With selection, evolution can also produce more complex organisms. Complexity often arises in the co-evolution of hosts and pathogens,[9] with each side developing ever more sophisticated adaptations, such as theimmune system and the many techniques pathogens have developed to evade it. For example, the parasiteTrypanosoma brucei, which causessleeping sickness, has evolved so many copies of its major surfaceantigen that about 10% of itsgenome is devoted to different versions of this one gene. This tremendous complexity allows the parasite to constantly change its surface and thus evade the immune system throughantigenic variation.[10]
More generally, the growth of complexity may be driven by theco-evolution between an organism and theecosystem ofpredators,prey andparasites to which it tries to stay adapted: as any of these become more complex in order to cope better with the diversity of threats offered by the ecosystem formed by the others, the others too will have to adapt by becoming more complex, thus triggering an ongoingevolutionary arms race[9] towards more complexity.[11] This trend may be reinforced by the fact that ecosystems themselves tend to become more complex over time, asspecies diversity increases, together with the linkages or dependencies between species.

If evolution possessed an active trend toward complexity (orthogenesis), as was widely believed in the 19th century,[12] then we would expect to see an active trend of increase over time in the most common value (themode) of complexity among organisms.[13]
However, an increase in complexity can also be explained through a passive process.[13] Assuming unbiased random changes of complexity and the existence of a minimum complexity leads to an increase over time of the average complexity of the biosphere. This involves an increase invariance, but the mode does not change. The trend towards the creation of some organisms with higher complexity over time exists, but it involves increasingly small percentages of living things.[4]
In this hypothesis, any appearance of evolution acting with an intrinsic direction towards increasingly complex organisms is a result of people concentrating on the small number of large, complex organisms that inhabit theright-hand tail of the complexity distribution and ignoring simpler and much more common organisms. This passive model predicts that the majority of species are microscopicprokaryotes, which is supported by estimates of 106 to 109 extant prokaryotes[14] compared to diversity estimates of 106 to 3·106 for eukaryotes.[15][16] Consequently, in this view, microscopic life dominates Earth, and large organisms only appear more diverse due tosampling bias.
Genome complexity has generally increased since the beginning of the life on Earth.[17][18] Somecomputer models have suggested that the generation of complex organisms is an inescapable feature of evolution.[19][20] Proteins tend to become more hydrophobic over time,[21] and to have their hydrophobic amino acids more interspersed along the primary sequence.[22] Increases in body size over time are sometimes seen in what is known asCope's rule.[23]
Recently work in evolution theory has proposed that by relaxingselection pressure, which typically acts to streamlinegenomes, the complexity of an organism increases by a process calledconstructive neutral evolution.[24] Since theeffective population size in eukaryotes (especially multi-cellular organisms) is much smaller than in prokaryotes,[25] they experiencelower selection constraints.
According to this model, new genes are created by non-adaptive processes, such as by randomgene duplication. These novel entities, although not required for viability, do give the organism excess capacity that can facilitate the mutational decay of functional subunits. If this decay results in a situation where all of the genes are now required, the organism has been trapped in a new state where the number of genes has increased. This process has been sometimes described as a complexifying ratchet.[26] These supplemental genes can then be co-opted by natural selection by a process calledneofunctionalization. In other instances constructive neutral evolution does not promote the creation of new parts, but rather promotes novel interactions between existing players, which then take on new moonlighting roles.[26]
Constructive neutral evolution has also been used to explain how ancient complexes, such as thespliceosome and theribosome, have gained new subunits over time, how new alternative spliced isoforms of genes arise, howgene scrambling inciliates evolved, how pervasive pan-RNA editing may have arisen inTrypanosoma brucei, how functionallncRNAs have likely arisen from transcriptional noise, and how even useless protein complexes can persist for millions of years.[24][27][26][28][29][30][31]
The mutational hazard hypothesis is a non-adaptive theory for increased complexity in genomes.[32] The basis of mutational hazard hypothesis is that each mutation fornon-coding DNA imposes a fitness cost.[33] Variation in complexity can be described by 2Neu, where Ne is effective population size and u ismutation rate.[34]
In this hypothesis, selection against non-coding DNA can be reduced in three ways: random genetic drift, recombination rate, and mutation rate.[35] As complexity increases from prokaryotes to multicellular eukaryotes,effective population size decreases, subsequently increasing the strength ofrandom genetic drift.[32] This, along with low recombination rate[35] and high mutation rate,[35] allows non-coding DNA to proliferate without being removed bypurifying selection.[32]
Accumulation of non-coding DNA in larger genomes can be seen when comparing genome size and genome content across eukaryotic taxa. There is a positive correlation between genome size and noncoding DNA genome content with each group staying within some variation.[32][33] When comparing variation in complexity in organelles, effective population size is replaced with genetic effective population size (Ng).[34] If looking atsilent-site nucleotide diversity, then larger genomes are expected to have less diversity than more compact ones. In plant and animalmitochondria, differences in mutation rate account for the opposite directions in complexity, with plant mitochondria being more complex and animal mitochondria more streamlined.[36]
The mutational hazard hypothesis has been used to at least partially explain expanded genomes in some species. For example, when comparingVolvox cateri to a close relative with a compact genome,Chlamydomonas reinhardtii, the former had less silent-site diversity than the latter in nuclear, mitochondrial, and plastid genomes.[37] However, when comparing the plastid genome ofVolvox cateri toVolvox africanus, a species in the same genus but with half the plastid genome size, there were high mutation rates in intergenic regions.[38] InArabidopsis thaliana, the hypothesis was used as a possible explanation for intron loss and compact genome size. When compared toArabidopsis lyrata, researchers found a higher mutation rate overall and in lost introns (an intron that is no longer transcribed or spliced) compared to conserved introns.[39]
There are expanded genomes in other species that could not be explained by the mutational hazard hypothesis. For example, the expanded mitochondrial genomes ofSilene noctiflora andSilene conica have high mutation rates, lower intron lengths, and more non-coding DNA elements compared to others in the same genus, but there was no evidence for long-term low effective population size.[40] The mitochondrial genomes ofCitrullus lanatus andCucurbita pepo differ in several ways.Citrullus lanatus is smaller, has more introns and duplications, whileCucurbita pepo is larger with more chloroplast and short repeated sequences.[41] IfRNA editing sites and mutation rate lined up, thenCucurbita pepo would have a lower mutation rate and more RNA editing sites. However the mutation rate is four times higher thanCitrullus lanatus and they have a similar number of RNA editing sites.[41] There was also an attempt to use the hypothesis to explain large nuclear genomes ofsalamanders, but researchers found opposite results than expected, including lower long-term strength of genetic drift.[42]
In the 19th century, some scientists such asJean-Baptiste Lamarck (1744–1829) andRay Lankester (1847–1929) believed that nature had an innate striving to become more complex with evolution. This belief may reflect then-current ideas ofHegel (1770–1831) and ofHerbert Spencer (1820–1903) which envisaged the universe gradually evolving to a higher, more perfect state.
This view regarded the evolution of parasites from independent organisms to a parasitic species as "devolution" or "degeneration", and contrary to nature. Social theorists have sometimes interpreted this approach metaphorically to decry certain categories of people as "degenerate parasites". Later scientists regarded biological devolution as nonsense; rather, lineages become simpler or more complicated according to whatever forms had a selective advantage.[43]
In a 1964 book,The Emergence of Biological Organization,Quastler pioneered a theory of emergence, developing a model of a series of emergences from protobiological systems to prokaryotes without the need to invoke implausible very low probability events.[44]
The evolution of order, manifested as biological complexity, in living systems and the generation of order in certain non-living systems was proposed in 1983 to obey a common fundamental principal called "the Darwinian dynamic".[45] The Darwinian dynamic was formulated by first considering how microscopic order is generated in simple non-biological systems that are far fromthermodynamic equilibrium. Consideration was then extended to short, replicatingRNA molecules assumed to be similar to the earliest forms of life in theRNA world. It was shown that the underlying order-generating processes in the non-biological systems and in replicating RNA are basically similar. This approach helped clarify the relationship of thermodynamics to evolution as well as the empirical content ofDarwin's theory.
In 1985,Morowitz[46] noted that the modern era ofirreversible thermodynamics ushered in byLars Onsager in the 1930s showed that systems invariably become ordered under a flow of energy, thus indicating that the existence of life involves no contradiction to the laws of physics.
From a biological perspective, there is no such thing as devolution. All changes in the gene frequencies of populations—and quite often in the traits those genes influence—are by definition evolutionary changes. [...] When species do evolve, it is not out of need but rather because their populations contain organisms with variants of traits that offer a reproductive advantage in a changing environment.