@misc{10481/66474,
year = {2020},
url = {http://hdl.handle.net/10481/66474},
abstract = {Progressive evolution, or the tendency towards increasing complexity, is a controversial issue
in biology, which resolution entails a proper measurement of complexity. Genomes are the best
entities to address this challenge, as they encode the historical information of a species’ biotic
and environmental interactions. As a case study, we have measured genome sequence complexity
in the ancient phylum Cyanobacteria. To arrive at an appropriate measure of genome sequence
complexity, we have chosen metrics that do not decipher biological functionality but that show
strong phylogenetic signal. Using a ridge regression of those metrics against root-to-tip distance,
we detected positive trends towards higher complexity in three of them. Lastly, we applied three
standard tests to detect if progressive evolution is passive or driven—the minimum, ancestor–
descendant, and sub-clade tests. These results provide evidence for driven progressive evolution at
the genome-level in the phylum Cyanobacteria.},
organization = {Generalitat Valenciana

Prometeo/2018/A/133},
organization = {European Union (EU)},
organization = {Fulbright fellowship (Spanish Minister of Science, Innovation and Universities)},
organization = {SAF2015-65878-R},
organization = {AGL2017-88702-C2-2-R},
organization = {PGC2018-099344-B-I00},
publisher = {NATURE RESEARCH},
title = {Driven progressive evolution of genome sequence complexity in Cyanobacteria},
doi = {10.1038/s41598-020-76014-4},
author = {Moya, Andrés and Hervas Oliver, José Luis and Gómez Martín, Cristina and Lebrón Aguilar, Ricardo and Román Roldán, Ramón},
}