Limits to a classic paradigm: most transcription factors in E. coli regulate genes involved in multiple biological processes

Author:

Ledezma-Tejeida Daniela12ORCID,Altamirano-Pacheco Luis1,Fajardo Vicente1,Collado-Vides Julio13

Affiliation:

1. Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico

2. Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland

3. Department of Biomedical Engineering, Boston University, Boston, MA, USA

Abstract

AbstractTranscription factors (TFs) are important drivers of cellular decision-making. When bacteria encounter a change in the environment, TFs alter the expression of a defined set of genes in order to adequately respond. It is commonly assumed that genes regulated by the same TF are involved in the same biological process. Examples of this are methods that rely on coregulation to infer function of not-yet-annotated genes. We have previously shown that only 21% of TFs involved in metabolism regulate functionally homogeneous genes, based on the proximity of the gene products’ catalyzed reactions in the metabolic network. Here, we provide more evidence to support the claim that a 1-TF/1-process relationship is not a general property. We show that the observed functional heterogeneity of regulons is not a result of the quality of the annotation of regulatory interactions, nor the absence of protein–metabolite interactions, and that it is also present when function is defined by Gene Ontology terms. Furthermore, the observed functional heterogeneity is different from the one expected by chance, supporting the notion that it is a biological property. To further explore the relationship between transcriptional regulation and metabolism, we analyzed five other types of regulatory groups and identified complex regulons (i.e. genes regulated by the same combination of TFs) as the most functionally homogeneous, and this is supported by coexpression data. Whether higher levels of related functions exist beyond metabolism and current functional annotations remains an open question.

Funder

Universidad Nacional Autónoma de México

National Institutes of Health

Consejo Nacional de Ciencia y Tecnología

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference48 articles.

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