Evidence map›Paper›PMID 26272053›Full record

ArticleScientific reports2015

Evolutionary conservation analysis between the essential and nonessential genes in bacterial genomes.

Hao Luo, Feng Gao, Yan Lin

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Hao LuoDepartment of Physics, Tianjin University, Tianjin 300072, China.
Feng Gao1] Department of Physics, Tianjin University, Tianjin 300072, China [2] Key Laboratory of Systems Bioengineering, (Ministry of Education), Tianjin University, Tianjin 300072, China [3] SynBio Research Platform, CollaborativeInnovation Center of Chemical Science and Engineering, Tianjin 300072, China.
Yan LinDepartment of Physics, Tianjin University, Tianjin 300072, China.

Funding

Impact of Prenatal Alcohol Exposure on Receptor Targeting and FunctioningR03AA020101 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CALDWELL, KEVIN K. · 2010 to 2011
$148k
NIAAA NIH HHS R03 AA020101
6 · The paper itself

Abstract

Essential genes are thought to be critical for the survival of the organisms under certain circumstances, and the natural selection acting on essential genes is expected to be stricter than on nonessential ones. Up to now, essential genes have been identified in approximately thirty bacterial organisms by experimental methods. In this paper, we performed a comprehensive comparison between the essential and nonessential genes in the genomes of 23 bacterial species based on the Ka/Ks ratio, and found that essential genes are more evolutionarily conserved than nonessential genes in most of the bacteria examined. Furthermore, we also analyzed the conservation by functional clusters with the clusters of orthologous groups (COGs), and found that the essential genes in the functional categories of G (Carbohydrate transport and metabolism), H (Coenzyme transport and metabolism), I (Transcription), J (Translation, ribosomal structure and biogenesis), K (Lipid transport and metabolism) and L (Replication, recombination and repair) tend to be more evolutionarily conserved than the corresponding nonessential genes in bacteria. The results suggest that the essential genes in these subcategories are subject to stronger selective pressure than the nonessential genes, and therefore, provide more insights of the evolutionary conservation for the essential and nonessential genes in complex biological processes.

Indexed as

Evolution, MolecularBacterial ProteinsBase SequenceChromosome MappingConserved SequenceGenes, BacterialGenes, EssentialGenome, BacterialMolecular Sequence DataBacterial Proteins

Identifiers

PMID26272053
PMCPMC4536490

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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.