Evidence map›Paper›PMID 31922467›Full record

ArticleMicrobial genomics2020

Large-scale and significant expression from pseudogenes in

Ian Goodhead, Frances Blow, Philip Brownridge, Margaret Hughes, John Kenny, Ritesh Krishna, Lynn McLean, Pisut Pongchaikul, Rob Beynon, Alistair C Darby

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Incipient genome erosion and metabolic streamlining for antibiotic production in a defensive symbiont.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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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

10 authors at 1 institution in 2 countries.

Ian GoodheadInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Frances BlowInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Philip BrownridgeInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Margaret HughesInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
John KennyInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Ritesh KrishnaInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Lynn McLeanInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Pisut PongchaikulInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Rob BeynonInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Alistair C DarbyInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
University of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BBJ017698/1Biotechnology and Biological Sciences Research Council BB/L014777/1Wellcome Trust
6 · The paper itself

Abstract

The majority of bacterial genomes have high coding efficiencies, but there are some genomes of intracellular bacteria that have low gene density. The genome of the endosymbiont

Indexed as

Genes, BacterialPseudogenesAnimalsBacterial ProteinsEnterobacteriaceaeProteomeSequence Analysis, DNASequence Analysis, RNASymbiosisTranscriptomeTsetse FliesBacterial ProteinsProteomeendosymbiontpseudogenesSodalis glossinidiustranscriptome

Identifiers

PMID31922467
PMCPMC7067036
OpenAlexW2999709774

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.