Evidence map›Paper›PMID 24157838›Full record

ArticleNucleic acids research2014

Next-generation sequencing reveals how RNA catalysts evolve from random space.

Sandeep Ameta, Marie-Luise Winz, Christopher Previti, Andres Jäschke

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Synthetic, Switchable Enzymes.Journal of molecular microbiology and biotechnology · 2017
    Review
  11. High-Throughput Mutational Analysis of a Twister Ribozyme.Angewandte Chemie (International ed. in English) · 2016
    Article
  12. Searching for a DNAzyme Version of the Leadzyme.Journal of molecular evolution · 2015
    Article
  13. Review
  14. Fitness Landscapes of Functional RNAs.Life (Basel, Switzerland) · 2015
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

Sandeep AmetaInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, 69120-Heidelberg, Germany and High Throughput Sequencing Core Facility, German Cancer Research Center (DKFZ), 69120-Heidelberg, Germany.
Marie-Luise Winz
Christopher Previti
Andres Jäschke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catalytic RNAs are attractive objects for studying molecular evolution. To understand how RNA libraries can evolve from randomness toward highly active catalysts, we analyze the original samples that led to the discovery of Diels-Alderase ribozymes by next-generation sequencing. Known structure-activity relationships are used to correlate abundance with catalytic performance. We find that efficient catalysts arose not just from selection for reactivity among the members of the starting library, but from improvement of less potent precursors by mutations. We observe changes in the ribozyme population in response to increasing selection pressure. Surprisingly, even after many rounds of enrichment, the libraries are highly diverse, suggesting that potential catalysts are more abundant in random space than generally thought. To highlight the use of next-generation sequencing as a tool for in vitro selections, we also apply this technique to a recent, less characterized ribozyme selection. Making use of the correlation between sequence evolution and catalytic activity, we predict mutations that improve ribozyme activity and validate them biochemically. Our study reveals principles underlying ribozyme in vitro selections and provides guidelines to render future selections more efficient, as well as to predict the conservation of key structural elements, allowing the rational improvement of catalysts.

Indexed as

Directed Molecular EvolutionHigh-Throughput Nucleotide SequencingRNA, CatalyticSequence Analysis, DNARNA, Catalytic

Identifiers

PMID24157838
PMCPMC3902939

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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.