Evidence map›Paper›PMID 37395434›Full record

ArticleNucleic acids research2023

Ribosomal proteins can hold a more accurate record of bacterial thermal adaptation compared to rRNA.

Antonia van den Elzen, Karla Helena-Bueno, Charlotte R Brown, Lewis I Chan, Sergey V Melnikov

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Antonia van den ElzenBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Karla Helena-BuenoBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Charlotte R BrownBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Lewis I ChanBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Sergey V MelnikovBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.ORCID 0000-0002-7525-9039
Newcastle University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/T008695/1
6 · The paper itself

Abstract

Ribosomal genes are widely used as 'molecular clocks' to infer evolutionary relationships between species. However, their utility as 'molecular thermometers' for estimating optimal growth temperature of microorganisms remains uncertain. Previously, some estimations were made using the nucleotide composition of ribosomal RNA (rRNA), but the universal application of this approach was hindered by numerous outliers. In this study, we aimed to address this problem by identifying additional indicators of thermal adaptation within the sequences of ribosomal proteins. By comparing sequences from 2021 bacteria with known optimal growth temperature, we identified novel indicators among the metal-binding residues of ribosomal proteins. We found that these residues serve as conserved adaptive features for bacteria thriving above 40°C, but not at lower temperatures. Furthermore, the presence of these metal-binding residues exhibited a stronger correlation with the optimal growth temperature of bacteria compared to the commonly used correlation with the 16S rRNA GC content. And an even more accurate correlation was observed between the optimal growth temperature and the YVIWREL amino acid content within ribosomal proteins. Overall, our work suggests that ribosomal proteins contain a more accurate record of bacterial thermal adaptation compared to rRNA. This finding may simplify the analysis of unculturable and extinct species.

Indexed as

Ribosomal ProteinsRNA, RibosomalBacteriaPhylogenyRNA, Ribosomal, 16STemperatureThermus thermophilusRibosomal ProteinsRNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID37395434
PMCPMC10450194
OpenAlexW4382918388

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.