Evidence map›Paper›PMID 35052392›Full record

ArticleGenes2021

Effects of the Expression of Random Sequence Clones on Growth and Transcriptome Regulation in

Devika Bhave, Diethard Tautz

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. 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
1.6field-weighted citation impact, top 16% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. De Novo Genes.Annual review of genetics · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Toxin rescue by a random sequence.Nature ecology & evolution · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

2 authors at 1 institution in 1 country.

Devika BhaveMax Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306 Plön, Germany.ORCID 0000-0002-5261-8385
Diethard TautzMax Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306 Plön, Germany.ORCID 0000-0002-0460-5344
Max Planck Institute for Evolutionary Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative genomic analyses have provided evidence that new genetic functions can emerge out of random nucleotide sequences. Here, we apply a direct experimental approach to study the effects of plasmids harboring random sequence inserts under the control of an inducible promoter. Based on data from previously described experiments dealing with the growth of clones within whole libraries, we extracted specific clones that had shown either negative, neutral or positive effects on relative cell growth. We analyzed these individually with respect to growth characteristics and the impact on the transcriptome. We find that candidate clones for negative peptides lead to growth arrest by eliciting a general stress response. Overexpression of positive clones, on the other hand, does not change the exponential growth rates of hosts, and they show a growth advantage over a neutral clone when tested in direct competition experiments. Transcriptomic changes in positive clones are relatively moderate and specific to each clone. We conclude from our experiments that random sequence peptides are indeed a suitable source for the de novo evolution of genetic functions.

Indexed as

Gene Expression Regulation, BacterialMutationTranscriptomeClone CellsEscherichia coliEscherichia coli InfectionsEscherichia coli ProteinsPlasmidsPromoter Regions, GeneticEscherichia coli Proteinsde novo gene evolutionE. colifitnessrandom sequencestranscriptome

Identifiers

PMID35052392
PMCPMC8775113
OpenAlexW4225659342

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.