Evidence map›Paper›PMID 33149190›Full record

ArticleScientific reports2020

Driven progressive evolution of genome sequence complexity in Cyanobacteria.

Andrés Moya, José L Oliver, Miguel Verdú, Luis Delaye, Vicente Arnau, Pedro Bernaola-Galván, Rebeca de la Fuente, Wladimiro Díaz, Cristina Gómez-Martín, Francisco M González and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Andrés MoyaInstitute of Integrative Systems Biology (I2Sysbio), University of València and Consejo Superior de Investigaciones Científicas (CSIC), 46980, Valencia, Spain. andres.moya@uv.es.
José L OliverDepartment of Genetics, Faculty of Sciences, University of Granada, 18071, Granada, Spain.
Miguel VerdúCentro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CSIC), University of València and Generalitat Valenciana, 46113, Valencia, Spain.
Luis DelayeDepartment of Genetic Engineering, CINVESTAV, 36821, Irapuato, Mexico.
Vicente ArnauInstitute of Integrative Systems Biology (I2Sysbio), University of València and Consejo Superior de Investigaciones Científicas (CSIC), 46980, Valencia, Spain.
Pedro Bernaola-GalvánDepartment of Applied Physics II and Institute Carlos I for Theoretical and Computational Physics, University of Málaga, 29071, Málaga, Spain.
Rebeca de la FuenteInstitute for Cross-Disciplinary Physics and Complex Systems (IFISC), Consejo Superior de Investigaciones Científicas (CSIC) and University of Balearic Islands, 07122, Palma de Mallorca, Spain.
Wladimiro DíazInstitute of Integrative Systems Biology (I2Sysbio), University of València and Consejo Superior de Investigaciones Científicas (CSIC), 46980, Valencia, Spain.
Cristina Gómez-MartínDepartment of Genetics, Faculty of Sciences, University of Granada, 18071, Granada, Spain.
Francisco M GonzálezDepartment of Genetic Engineering, CINVESTAV, 36821, Irapuato, Mexico.
Amparo LatorreInstitute of Integrative Systems Biology (I2Sysbio), University of València and Consejo Superior de Investigaciones Científicas (CSIC), 46980, Valencia, Spain.
Ricardo LebrónDepartment of Genetics, Faculty of Sciences, University of Granada, 18071, Granada, Spain.
Ramón Román-RoldánDepartment of Applied Physics, University of Granada, 18071, Granada, Spain.
Universidad de Granada · ESUniversitat de València · ESCenter for Research and Advanced Studies of the National Polytechnic Institute · MXGeneralitat Valenciana · ESInstitute for Cross-Disciplinary Physics and Complex Systems · ESInstitute for Integrative Systems Biology · ESUniversidad de Málaga · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Evolution, MolecularGenome, BacterialCyanobacteriaPhylogeny

Identifiers

PMID33149190
PMCPMC7643063
OpenAlexW3095397016

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.