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  Effects of the expression of random sequence clones on growth and transcriptome regulation in Escherichia coli

Bhave, D., & Tautz, D. (2022). Effects of the expression of random sequence clones on growth and transcriptome regulation in Escherichia coli. Genes, 13(1): 53. doi:10.3390/genes13010053.

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genes-13-00053-v2.pdf (Publisher version), 3MB
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https://github.com/DevikaBhave/RandPep (Research data)
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 Creators:
Bhave, Devika1, Author           
Tautz, Diethard1, Author                 
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: de novo gene evolution; random sequences; fitness;E. coli; transcriptome
 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.

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Language(s): eng - English
 Dates: 2021-11-232021-12-212021-12-242022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/genes13010053
 Degree: -

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Project name : NewGenes
Grant ID : 322564
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: Genes
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI AG
Pages: - Volume / Issue: 13 (1) Sequence Number: 53 Start / End Page: - Identifier: ISSN: 2073-4425
CoNE: https://pure.mpg.de/cone/journals/resource/2073-4425