Evidence map›Paper›PMID 32506154›Full record

ArticleJournal of molecular evolution2020

Spatial Patterns of Gene Expression in Bacterial Genomes.

Daniella F Lato, G Brian Golding

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
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  4. Design of CRISPRi-Based Synthetic Gene Circuits in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2026
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  8. Gene age and genome organization inFrontiers in microbiology · 2025
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  9. Comprehensive Characterization ofInternational journal of molecular sciences · 2024
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  15. 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

2 authors at 1 institution in 1 country.

Daniella F LatoDepartment of Biology, McMaster Univeristy, 1280 Main St. West, Hamilton, ON, L8S 4K1, Canada.
G Brian GoldingDepartment of Biology, McMaster Univeristy, 1280 Main St. West, Hamilton, ON, L8S 4K1, Canada. golding@mcmaster.ca.ORCID 0000-0002-7575-0282
McMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression in bacteria is a remarkably controlled and intricate process impacted by many factors. One such factor is the genomic position of a gene within a bacterial genome. Genes located near the origin of replication generally have a higher expression level, increased dosage, and are often more conserved than genes located farther from the origin of replication. The majority of the studies involved with these findings have only noted this phenomenon in a single gene or cluster of genes that was re-located to pre-determined positions within a bacterial genome. In this work, we look at the overall expression levels from eleven bacterial data sets from Escherichia coli, Bacillus subtilis, Streptomyces, and Sinorhizobium meliloti. We have confirmed that gene expression tends to decrease when moving away from the origin of replication in majority of the replicons analysed in this study. This study sheds light on the impact of genomic location on molecular trends such as gene expression and highlights the importance of accounting for spatial trends in bacterial molecular analysis.

Indexed as

Gene ExpressionGenome, BacterialBacillus subtilisEscherichia coliReplication OriginSinorhizobium melilotiStreptomycesBacteriaGene expressionGenome locationGenomicsOrigin of replicationTerminus of replication

Identifiers

PMID32506154
PMCPMC7324424
OpenAlexW3033944182

What OpenQuestion holds

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LicenceCC BY
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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.