Evidence map›Paper›PMID 19948819›Full record

ArticleGenome research2010

Reconstructing ancestral gene content by coevolution.

Tamir Tuller, Hadas Birin, Uri Gophna, Martin Kupiec, Eytan Ruppin

Abstract readEvaluation Study
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. The essence of life revisited: how theories can shed light on it.Theory in biosciences = Theorie in den Biowissenschaften · 2022
    Article
  4. Review
  5. A Place for Viruses on the Tree of Life.Frontiers in microbiology · 2020
    Review
  6. Hidden Concepts in the History and Philosophy of Origins-of-Life Studies: a Workshop Report.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2019
    Review
  7. Article
  8. Biophysical comparison of ATP synthesis mechanisms shows a kinetic advantage for the rotary process.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. One step beyond a ribosome: The ancient anaerobic core.Biochimica et biophysica acta · 2016
    Review
  10. Article
  11. Article
  12. Article
  13. Modelling the efficiency of codon-tRNA interactions based on codon usage bias.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014
    Article
  14. Article
  15. Article
  16. Article
  17. 2011 William Allan Award: development and evolution.American journal of human genetics · 2012
    Article
  18. Review
  19. Article
  20. Article
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

5 authors.

Tamir TullerSchool of Computer Sciences, Tel Aviv University, Ramat Aviv, Israel. tamirtul@post.tau.ac.il
Hadas Birin
Uri Gophna
Martin Kupiec
Eytan Ruppin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferring the gene content of ancestral genomes is a fundamental challenge in molecular evolution. Due to the statistical nature of this problem, ancestral genomes inferred by the maximum likelihood (ML) or the maximum-parsimony (MP) methods are prone to considerable error rates. In general, these errors are difficult to abolish by using longer genomic sequences or by analyzing more taxa. This study describes a new approach for improving ancestral genome reconstruction, the ancestral coevolver (ACE), which utilizes coevolutionary information to improve the accuracy of such reconstructions over previous approaches. The principal idea is to reduce the potentially large solution space by choosing a single optimal (or near optimal) solution that is in accord with the coevolutionary relationships between protein families. Simulation experiments, both on artificial and real biological data, show that ACE yields a marked decrease in error rate compared with ML or MP. Applied to a large data set (95 organisms, 4873 protein families, and 10,000 coevolutionary relationships), some of the ancestral genomes reconstructed by ACE were remarkably different in their gene content from those reconstructed by ML or MP alone (more than 10% in some nodes). These reconstructions, while having almost similar likelihood/parsimony scores as those obtained with ML/MP, had markedly higher concordance with the coevolutionary information. Specifically, when ACE was implemented to improve the results of ML, it added a large number of proteins to those encoded by LUCA (last universal common ancestor), most of them ribosomal proteins and components of the F(0)F(1)-type ATP synthase/ATPases, complexes that are vital in most living organisms. Our analysis suggests that LUCA appears to have been bacterial-like and had a genome size similar to the genome sizes of many extant organisms.

Indexed as

AlgorithmsEvolution, MolecularFossilsGenome, BacterialGenome, FungalGenome, PlantComputer SimulationEscherichia coliEscherichia coli ProteinsPlant ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTreesEscherichia coli ProteinsPlant ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID19948819
PMCPMC2798824

What OpenQuestion holds

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Registered trials

None linked

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.