Evidence map›Paper›PMID 41184653›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2025

Transcriptional analysis of genes associated with glycolysis in Streptomyces coelicolor M145.

Ingrid V Alanis-Pérez, Verónica Jiménez-Jacinto, Jonathan Alanis-Péreza, María Elena Flores

Abstract read
In one paragraph

Article in International microbiology : the official journal of the Spanish Society for Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ingrid V Alanis-PérezDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, 04510, México.
Verónica Jiménez-JacintoUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, CP 62210, México.
Jonathan Alanis-PérezaDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, 04510, México.
María Elena FloresDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, 04510, México. mflores@iibiomedicas.unam.mx.ORCID http://orcid.org/0000-0001-8591-1855

Funding

PAPIIT, DGAPA, UNAM IN213823PAPIIT, DGAPA, UNAM Scholarship
6 · The paper itself

Abstract

We previously reported the mRNA levels of genes involved in the tricarboxylic acid cycle and the phosphoenolpyruvate-pyruvate-oxaloacetate node. Owing to the importance of the glycolytic pathway, massive mRNA sequencing of Streptomyces coelicolor grown in minimal medium with glucose as the sole carbon source was performed. The results revealed a large discrepancy between the mRNA levels of all the genes analysed; sco1947, encoding glyceraldehyde 3-phosphate dehydrogenase, had the highest relative levels with respect to those of the hrdB gene, with a decreasing trend over time in most cases. On the other hand, the genes encoding glucose kinase had the lowest expression levels. The existence of gene multiplicity in Streptomyces is well known, and S. coelicolor is no exception. Two, three, and even four paralogous genes were detected for some of the activities in this pathway, and not all of them were expressed under the growth conditions used. The results obtained showed the large differences in gene expression and in the activity of the enzymes involved in the glycolytic pathway, which may allow the design of strategies aimed at a better carbon flow in this microorganism.

Indexed as

GlycolysisStreptomyces coelicolorBacterial ProteinsGene Expression ProfilingGene Expression Regulation, BacterialGlucoseBacterial ProteinsGlucoseCarbon metabolismEnzyme activityGlycolytic pathwayRNA expressionStreptomyces coelicolor

Identifiers

PMID41184653
PMCPMC12727718

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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.