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Analysis of institutional authors

Gabaldon, ToniCorresponding Author

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September 4, 2025
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Probabilistic modelling improves relative dating from gene phylogenies

Publicated to: Methods In Ecology And Evolution. - 2025-08-25 (), DOI: 10.1111/2041-210X.70127

Authors: Bernabeu, Moises; Armero, Carmen; Gabaldon, Toni

Affiliations

Barcelona Inst Sci & Technol, Inst Res Biomed IRB Barcelona, Barcelona, Spain - Author
Barcelona Supercomp Ctr BSC CNS, Barcelona, Spain - Author
Catalan Inst Res & Adv Studies ICREA, Barcelona, Spain - Author
Comparative Genomics. Institute for Research in Biomedicine - Author
Ctr Invest Biomed Red Enfermedades Infecciosas CIB, Barcelona, Spain - Author
Institute for Research in Biomedicine - Author
Univ Valencia, Dept Stat & Operat Res, Burjassot, Spain - Author
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Abstract

Establishing the timing of past evolutionary events is a fundamental task in the reconstruction of the history of life. State-of-the-art molecular dating methods generally involve the reconstruction of a species tree from conserved, vertically evolving genes and the assumption of a molecular clock calibrated with the fossil record. Although this approach is extremely useful, its use is limited to speciation events and does not account for genes following different evolutionary paths. Recently, an alternative methodology for the relative dating of evolutionary events has been proposed that considers the distribution of branch lengths across sets of gene trees. Here, we validate this methodology by comparing the relative age estimates with a fossil-calibrated phylogeny and propose a model-based formalisation using a Bayesian framework. Our analyses revealed that the normalisation of the distances of interest with the branch lengths of a reference clade present across the set of gene trees results in narrower distributions, allowing the correct inference of the relative ordering of evolutionary events. We show that distributions of normalised lengths can be modelled using gamma or lognormal distributions and demonstrate that inference of the posterior distribution of the mode allows accurate relative age estimation, as assessed by a strong correlation with the molecular clock-dated tree. Establir el moment en qu & egrave; han passat esdeveniments evolutius & eacute;s una tasca fonamental per a la reconstrucci & oacute; de la hist & ograve;ria de la vida. El m & egrave;todes de dataci & oacute; molecular actuals requereixen la reconstrucci & oacute; d'un arbre d'esp & egrave;cies a partir de gens heretats verticalment i conservats, i l'assumpci & oacute; d'un rellotge molecular que es calibra amb el registre f & ograve;ssil. Tot i que aquesta estrat & egrave;gia & eacute;s extremadament & uacute;til, no t & eacute; en compte els diferents camins evolutius que poden tindre altres gens. Una nova metodologia per a la dataci & oacute; relativa d'esdeveniments evolutius s'ha proposat recentment considerant la distribuci & oacute; de les llargades de branca d'arbres de gens En aquest article validem aquesta metodologia comparant-la amb una filog & egrave;nia calibrada amb f & ograve;ssils i proposem una modelitzaci & oacute; emprant el marc bayesi & agrave;. Les nostres an & agrave;lisis mostren que la normalitzaci & oacute; de les dist & agrave;ncies mesurades a un arbre de gens basada en un clade de refer & egrave;ncia produeix distribucions menys disperses, permetent aix & iacute; la correcta ordenaci & oacute; d'esdeveniments evolutius. Mostrem que aquestes dist & agrave;ncies normalitzades les podem modelitzar emprant les distribucions gamma i lognormal, i demostrem que la infer & egrave;ncia de la distribuci & oacute; posterior de la moda permet l'estimaci & oacute; acurada de l'edat relativa, mostrant una forta correlaci & oacute; amb l'arbre datat amb rellotge molecular.

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Methods In Ecology And Evolution due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 16/200, thus managing to position itself as a Q1 (Primer Cuartil), in the category Ecology. Notably, the journal is positioned above the 90th percentile.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 1.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 11.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Bernabeu, Moises) and Last Author (Gabaldon Esteban, Toni).

the author responsible for correspondence tasks has been Gabaldon Esteban, Toni.

Awards linked to the item

Gordon and Betty Moore Foundation, Grant/Award Number: GBMF9742