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Quite other important processes of evolution are, for example, genome modifications by
selfish DNA, repetitive DNA and jumping gene elements (transposons). For illustration,
there is a recent review of mobile genes in the human microbiome and how they are con
structed (Brito et al. 2016). Other important factors in evolution include sexual selection
(Connallon and Hall 2016), parasite-host interplay (Tellier et al. 2014), and the newly dis
covered important role of RNAs in genome evolution (e.g., pi-RNAs; Vourekas et al. 2016).
What is significant for the fascination of bioinformatics is that with the new data and
their evaluation by bioinformatics, but also with new simulations and calculations about
evolution, the formative diversity of these processes of evolution is revealed.
Conclusion
• Evolution is central to understanding the development of life. It always takes
place in a population. The individual living being or protein is, after all, deter
mined within a narrow framework by the specific genome. There are always new
species (colloquially: “living beings always evolve”). In reality, there are always
new populations with always new typical characteristics (by mutation and, in the
case of sexual reproduction, by recombination) that allow a near-optimal adapta
tion to the prevailing environment. Less environmentally related characteristics
are less often passed on in the population (selection).
• However, many variants are also neutral, or new structures only appear abruptly when
enough mutations are present (neutral pathways in RNA structures; “punctuated
equilibrium” according to Gould). Over time, there has been no directed “higher evo
lution”. But there has been spread of life to the land and air, more species and biomass
formed. Bacterial (prokaryotic) cells, still clearly dominant in numbers, have consoli
dated and become increasingly robust. In the case of eukaryotes, in addition to many
new species (99.9% are extinct!), more and more complex organisms and complex
behaviour emerged (dominant on land: insects, from the Tertiary onwards the state-
forming insects; from Holocene onwards: humans and civilisation).
• Phylogeny (family tree science) helps to infer the evolution of different species
based on shared or non-shared traits via calculated ancestors. There are faster
(neighbour joining) and more accurate methods (parsimony, most accurate maxi
mum likelihood). Accompanying sequence and secondary structure analyses
reveal conserved and variable regions as well as the evolution of functional
domains. Basic techniques for this are easy to learn (see tutorials). Most accurate
phylogenetic trees require much practice and systematic comparison of all avail
able information (e.g. alternative phylogenetic trees, also macroscopic features,
molecular sequences, marker proteins). Phylogeny and other data from paleon
tology and molecular biology as well as from protein structure analyses, embry
ology, genetics and simulations also allow the analysis of evolution. This provides
fascinating new insights into the evolution of life, such as the endosymbiont
hypothesis and the RNA world, but also into the mechanisms of evolution.
10 Understand Evolution Better Applying the Computer