Evidence map›Paper›PMID 31947717›Full record

ArticleGenes2020

Evaluation of the Abundance of DNA-Binding Transcription Factors in Prokaryotes.

Israel Sanchez, Rafael Hernandez-Guerrero, Paul Erick Mendez-Monroy, Mario Alberto Martinez-Nuñez, Jose Antonio Ibarra, Ernesto Pérez-Rueda

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Adaption ofMicroorganisms · 2023
    Review
  7. Review
  8. Transcriptomic analysis ofMicrobial genomics · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. 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

6 authors at 3 institutions in 2 countries.

Israel SanchezInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica Yucatán, Mérida.C.P. 97302, Yucatán, Mexico.ORCID 0000-0002-7040-9552
Rafael Hernandez-GuerreroInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica Yucatán, Mérida.C.P. 97302, Yucatán, Mexico.ORCID 0000-0003-1096-5968
Paul Erick Mendez-MonroyInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica Yucatán, Mérida.C.P. 97302, Yucatán, Mexico.ORCID 0000-0002-1726-6492
Mario Alberto Martinez-NuñezUnidad Académica de Ciencias y Tecnología de Yucatán, UMDI-Sisal. Facultad de Ciencias, UNAM, Mérida C.P. 97302, Yucatán, Mexico.ORCID 0000-0001-8907-2542
Jose Antonio IbarraLaboratorio de Genética Microbiana, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México C.P. 11340, Mexico.ORCID 0000-0002-5016-0622
Ernesto Pérez-RuedaInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica Yucatán, Mérida.C.P. 97302, Yucatán, Mexico.ORCID 0000-0002-6879-0673
Universidad Nacional Autónoma de México · MXInstituto Politécnico Nacional · MXUniversidad Mayor · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of bacteria and archaea to modulate metabolic process, defensive response, and pathogenic capabilities depend on their repertoire of genes and capacity to regulate the expression of them. Transcription factors (TFs) have fundamental roles in controlling these processes. TFs are proteins dedicated to favor and/or impede the activity of the RNA polymerase. In prokaryotes these proteins have been grouped into families that can be found in most of the different taxonomic divisions. In this work, the association between the expansion patterns of 111 protein regulatory families was systematically evaluated in 1351 non-redundant prokaryotic genomes. This analysis provides insights into the functional and evolutionary constraints imposed on different classes of regulatory factors in bacterial and archaeal organisms. Based on their distribution, we found a relationship between the contents of some TF families and genome size. For example, nine TF families that represent 43.7% of the complete collection of TFs are closely associated with genome size; i.e., in large genomes, members of these families are also abundant, but when a genome is small, such TF family sizes are decreased. In contrast, almost 102 families (56.3% of the collection) do not exhibit or show only a low correlation with the genome size, suggesting that a large proportion of duplication or gene loss events occur independently of the genome size and that various yet-unexplored questions about the evolution of these TF families remain. In addition, we identified a group of families that have a similar distribution pattern across

Indexed as

ArchaeaBacteriaDNADNA-Binding ProteinsGenome, ArchaealGenome, BacterialGenome SizeGenomicsProkaryotic CellsProtein BindingTranscription FactorsTranscriptomeDNADNA-Binding ProteinsTranscription Factorscomparative genomicsgenomesprokaryoteprotein familiestranscription factors

Identifiers

PMID31947717
PMCPMC7017128
OpenAlexW2997026717

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.