Evidence map›Paper›PMID 31589292›Full record

ArticleGenome biology and evolution2019

Compound Dynamics and Combinatorial Patterns of Amino Acid Repeats Encode a System of Evolutionary and Developmental Markers.

Ilaria Pelassa, Marica Cibelli, Veronica Villeri, Elena Lilliu, Serena Vaglietti, Federica Olocco, Mirella Ghirardi, Pier Giorgio Montarolo, Davide Corà, Ferdinando Fiumara

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2019. 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
0.3field-weighted citation impact, top 40% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. PolyQ length co-evolution in neural proteins.NAR genomics and bioinformatics · 2021
    Article
  8. Amino acid homorepeats in proteins.Nature reviews. Chemistry · 2020
    Review
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

10 authors at 3 institutions in 1 country.

Ilaria PelassaDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Marica CibelliDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Veronica VilleriDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Elena LilliuDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Serena VagliettiDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Federica OloccoDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Mirella GhirardiDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Pier Giorgio MontaroloDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
Davide CoràDepartment of Translational Medicine, Piemonte Orientale University, Novara, Italy.
Ferdinando FiumaraDepartment of Neuroscience Rita Levi Montalcini, University of Torino, Italy.
University of Turin · ITNeuroscience Institute · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homopolymeric amino acid repeats (AARs) like polyalanine (polyA) and polyglutamine (polyQ) in some developmental proteins (DPs) regulate certain aspects of organismal morphology and behavior, suggesting an evolutionary role for AARs as developmental "tuning knobs." It is still unclear, however, whether these are occasional protein-specific phenomena or hints at the existence of a whole AAR-based regulatory system in DPs. Using novel approaches to trace their functional and evolutionary history, we find quantitative evidence supporting a generalized, combinatorial role of AARs in developmental processes with evolutionary implications. We observe nonrandom AAR distributions and combinations in HOX and other DPs, as well as in their interactomes, defining elements of a proteome-wide combinatorial functional code whereby different AARs and their combinations appear preferentially in proteins involved in the development of specific organs/systems. Such functional associations can be either static or display detectable evolutionary dynamics. These findings suggest that progressive changes in AAR occurrence/combination, by altering embryonic development, may have contributed to taxonomic divergence, leaving detectable traces in the evolutionary history of proteomes. Consistent with this hypothesis, we find that the evolutionary trajectories of the 20 AARs in eukaryotic proteomes are highly interrelated and their individual or compound dynamics can sharply mark taxonomic boundaries, or display clock-like trends, carrying overall a strong phylogenetic signal. These findings provide quantitative evidence and an interpretive framework outlining a combinatorial system of AARs whose compound dynamics mark at the same time DP functions and evolutionary transitions.

Indexed as

Evolution, MolecularPhylogenyAnimalsEukaryotaGenes, DevelopmentalGenes, HomeoboxGenomeHumansProteomeRepetitive Sequences, Amino AcidProteomeamino acid repeatsevolution and developmenthomopolymericHOX genespolyalaninepolyglutamine

Identifiers

PMID31589292
PMCPMC6839033
OpenAlexW2979393734

What OpenQuestion holds

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LicenceCC BY
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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.