Evidence map›Paper›PMID 37036997›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Compensatory relationship between low-complexity regions and gene paralogy in the evolution of prokaryotes.

Erez Persi, Yuri I Wolf, Svetlana Karamycheva, Kira S Makarova, Eugene V Koonin

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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.

Erez PersiNational Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894.ORCID 0000-0002-0247-8708
Svetlana KaramychevaNational Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894.
Kira S MakarovaNational Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894.ORCID 0000-0002-8174-2844
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894.ORCID 0000-0003-3943-8299
National Center for Biotechnology Information · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of genomes in all life forms involves two distinct, dynamic types of genomic changes: gene duplication (and loss) that shape families of paralogous genes and extension (and contraction) of low-complexity regions (LCR), which occurs through dynamics of short repeats in protein-coding genes. Although the roles of each of these types of events in genome evolution have been studied, their co-evolutionary dynamics is not thoroughly understood. Here, by analyzing a wide range of genomes from diverse bacteria and archaea, we show that LCR and paralogy represent two distinct routes of evolution that are inversely correlated. The emergence of LCR is a prominent evolutionary mechanism in fast evolving, young protein families, whereas paralogy dominates the comparatively slow evolution of old protein families. The analysis of multiple prokaryotic genomes shows that the formation of LCR is likely a widespread, transient evolutionary mechanism that temporally and locally affects also ancestral functions, but apparently, fades away with time, under mutational and selective pressures, yielding to gene paralogy. We propose that compensatory relationships between short-term and longer-term evolutionary mechanisms are universal in the evolution of life.

Indexed as

Evolution, MolecularProkaryotic CellsArchaeaBacteriaPhylogenybacterial and archaeal genomescompensatory evolutiongene duplicationlow complexity regionsparalogy

Identifiers

PMID37036997
PMCPMC10120016
OpenAlexW4363677213

What OpenQuestion holds

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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.