Evidence map›Paper›PMID 40282203›Full record

ArticleBiology2025

Metrics of Genomic Complexity in the Evolution of Bacterial Endosymbiosis.

Pablo Román-Escrivá, Moisès Bernabeu, Eleonora Paganin, Wladimiro Díaz-Villanueva, Miguel Verdú, José L Oliver, Vicente Arnau, Andrés Moya

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In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Pablo Román-EscriváInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.
Moisès BernabeuInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.ORCID 0000-0002-0498-5957
Eleonora PaganinInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.
Wladimiro Díaz-VillanuevaInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.ORCID 0000-0002-8970-4367
Miguel VerdúCentro de Investigaciones Sobre Desertificación, Consejo Superior de Investigaciones Científicas (CSIC), University of València, Generalitat Valenciana, 46113 València, Spain.
José L OliverDepartment of Genetics, Faculty of Sciences, University of Granada, 18071 Granada, Spain.ORCID 0000-0003-0216-0393
Vicente ArnauInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.ORCID 0000-0002-1388-6141
Andrés MoyaInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), University of València, 46980 València, Spain.ORCID 0000-0002-2867-1119

Funding

Generalitat Valenciana CIPROM/2021/042Ministerio de Ciencia, Innovación y Universidades PID2019-105969GB-I00Ministerio de Universidades, Spain FPU21/03813
6 · The paper itself

Abstract

Endosymbiosis can be considered a regressive or degenerative evolutionary process characterized at the genomic level by genome erosion and degeneration due to high mutational pressure toward AT (adenine and thymine) bases. The genomic and biological complexity of endosymbionts must be lower than that of the free-living bacteria from which they evolved. In the present work, we contrasted whether two proposed metrics for measuring genomic complexity in both types of bacteria,

Indexed as

complexity metricsendosymbiosisgenomic complexity

Identifiers

PMID40282203
PMCPMC12024623

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.