Evidence map›Paper›PMID 29133450›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2017

Resurrecting ancestral genes in bacteria to interpret ancient biosignatures.

Betul Kacar, Lionel Guy, Eric Smith, John Baross

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Early divergence of translation initiation and elongation factors.Protein science : a publication of the Protein Society · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Emerging Frontiers in the Study of Molecular Evolution.Journal of molecular evolution · 2020
    Article
  11. Article
  12. Review
  13. Re-conceptualizing the origins of life.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017
    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

4 authors at 4 institutions in 3 countries.

Betul KacarDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA betul@arizona.edu.ORCID http://orcid.org/0000-0002-0482-2357
Lionel GuyDepartment of Medical Biochemistry and Microbiology, Uppsala University, 75123 Uppsala, Sweden.
Eric SmithEarth-Science Life Institute, Meguro-ku, Tokyo 152-8550, Japan.
John BarossThe School of Oceanography, University of Washington, Seattle, WA 98105, USA.
Harvard University · USSanta Fe Institute · USUniversity of Washington · USUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two datasets, the geologic record and the genetic content of extant organisms, provide complementary insights into the history of how key molecular components have shaped or driven global environmental and macroevolutionary trends. Changes in global physico-chemical modes over time are thought to be a consistent feature of this relationship between Earth and life, as life is thought to have been optimizing protein functions for the entirety of its approximately 3.8 billion years of history on the Earth. Organismal survival depends on how well critical genetic and metabolic components can adapt to their environments, reflecting an ability to optimize efficiently to changing conditions. The geologic record provides an array of biologically independent indicators of macroscale atmospheric and oceanic composition, but provides little in the way of the exact behaviour of the molecular components that influenced the compositions of these reservoirs. By reconstructing sequences of proteins that might have been present in ancient organisms, we can downselect to a subset of possible sequences that may have been optimized to these ancient environmental conditions. How can one use modern life to reconstruct ancestral behaviours? Configurations of ancient sequences can be inferred from the diversity of extant sequences, and then resurrected in the laboratory to ascertain their biochemical attributes. One way to augment sequence-based, single-gene methods to obtain a richer and more reliable picture of the deep past, is to resurrect inferred ancestral protein sequences in living organisms, where their phenotypes can be exposed in a complex molecular-systems context, and then to link consequences of those phenotypes to biosignatures that were preserved in the independent historical repository of the geological record. As a first step beyond single-molecule reconstruction to the study of functional molecular systems, we present here the ancestral sequence reconstruction of the beta-carbonic anhydrase protein. We assess how carbonic anhydrase proteins meet our selection criteria for reconstructing ancient biosignatures in the laboratory, which we term palaeophenotype reconstruction.This article is part of the themed issue 'Reconceptualizing the origins of life'.

Indexed as

Evolution, MolecularBacteriaCarbonGenes, BacterialPhenotypePhotosynthesisPhylogenySynthetic BiologyCarbonancestral sequence reconstructioncarbonic anhydraseoriginspalaeophenotypeRubisco

Identifiers

PMID29133450
PMCPMC5686408
OpenAlexW2769975760

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.