Evidence map›Paper›PMID 29220489›Full record

ArticleMolecular biology and evolution2018

Diversity of Translation Initiation Mechanisms across Bacterial Species Is Driven by Environmental Conditions and Growth Demands.

Adam J Hockenberry, Aaron J Stern, Luís A N Amaral, Michael C Jewett

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A universal approach to gene expression engineering.Synthetic biology (Oxford, England) · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  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

4 authors.

Adam J HockenberryDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Aaron J SternDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Luís A N AmaralDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Michael C JewettDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.

Funding

CORE: ADMINISTRATIVEP50GM081892 · NIGMS · UNIVERSITY OF CHICAGO · PI WHITE, KEVIN P. · 2008 to 2013
$15.9M
NIGMS NIH HHS P50 GM081892
6 · The paper itself

Abstract

The Shine-Dalgarno (SD) sequence motif is frequently found upstream of protein coding genes and is thought to be the dominant mechanism of translation initiation used by bacteria. Experimental studies have shown that the SD sequence facilitates start codon recognition and enhances translation initiation by directly interacting with the highly conserved anti-SD sequence on the 30S ribosomal subunit. However, the proportion of SD-led genes within a genome varies across species and the factors governing this variation in translation initiation mechanisms remain largely unknown. Here, we conduct a phylogenetically informed analysis and find that species capable of rapid growth contain a higher proportion of SD-led genes throughout their genomes. We show that SD sequence utilization covaries with a suite of genomic features that are important for efficient translation initiation and elongation. In addition to these endogenous genomic factors, we further show that exogenous environmental factors may influence the evolution of translation initiation mechanisms by finding that thermophilic species contain significantly more SD-led genes than mesophiles. Our results demonstrate that variation in translation initiation mechanisms across bacterial species is predictable and is a consequence of differential life-history strategies related to maximum growth rate and environmental-specific constraints.

Indexed as

bacterial growthgenome evolutionShine–Dalgarno sequencetranslation initiation

Identifiers

PMID29220489
PMCPMC5850609

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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.