Evidence map›Paper›PMID 23160175›Full record

ArticleGenome biology and evolution2012

Evolutionary effects of translocations in bacterial genomes.

Jarrett D Morrow, Vaughn S Cooper

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  4. Spatial Patterns of Gene Expression in Bacterial Genomes.Journal of molecular evolution · 2020
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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

2 authors at 1 institution in 1 country.

Jarrett D MorrowDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, NH, USA.
Vaughn S Cooper
University of New Hampshire · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has become clear that different genome regions need not evolve uniformly. This variation is particularly evident in bacterial genomes with multiple chromosomes, in which smaller, secondary chromosomes evolve more rapidly. We previously demonstrated that substitution rates and gene dispensability were greater on secondary chromosomes in many bacterial genomes. In Vibrio, the secondary chromosome is replicated later during the cell cycle, which reduces the effective dosage of these genes and hence their expression. More rapid evolution of secondary chromosomes may therefore reflect weaker purifying selection on less expressed genes. Here, we test this hypothesis by relating substitution rates of orthologs shared by multiple Burkholderia genomes, each with three chromosomes, to a study of gene expression in genomes differing by a major reciprocal translocation. This model predicts that expression should be greatest on chromosome 1 (the largest) and least on chromosome 3 (the smallest) and that expression should tend to decline within chromosomes from replication origin to terminus. Moreover, gene movement to the primary chromosome should associate with increased expression, and movement to secondary chromosomes should result in reduced expression. Our analysis supports each of these predictions, as translocated genes tended to shift expression toward their new chromosome neighbors despite inevitable cis-acting regulation of expression. This study sheds light on the early dynamics of genomes following rearrangement and illustrates how secondary chromosomes in bacteria may become evolutionary test beds.

Indexed as

Evolution, MolecularGenes, BacterialTranslocation, GeneticBurkholderiaChromosomes, BacterialGene ExpressionGenome, Bacterial

Identifiers

PMID23160175
PMCPMC3542574
OpenAlexW2138248419

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.