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1.
BMC Biol ; 20(1): 146, 2022 06 16.
Artículo en Inglés | MEDLINE | ID: mdl-35710371

RESUMEN

BACKGROUND: Escherichia coli (E. coli) has been one of the most studied model organisms in the history of life sciences. Initially thought just to be commensal bacteria, E. coli has shown wide phenotypic diversity including pathogenic isolates with great relevance to public health. Though pangenome analysis has been attempted several times, there is no systematic functional characterization of the E. coli subgroups according to the gene profile. RESULTS: Systematically scanning for optimal parametrization, we have built the E. coli pangenome from 1324 complete genomes. The pangenome size is estimated to be ~25,000 gene families (GFs). Whereas the core genome diminishes as more genomes are added, the softcore genome (≥95% of strains) is stable with ~3000 GFs regardless of the total number of genomes. Apparently, the softcore genome (with a 92% or 95% generation threshold) can define the genome of a bacterial species listing the critically relevant, evolutionarily most conserved or important classes of GFs. Unsupervised clustering of common E. coli sequence types using the presence/absence GF matrix reveals distinct characteristics of E. coli phylogroups B1, B2, and E. We highlight the bi-lineage nature of B1, the variation of the secretion and of the iron acquisition systems in ST11 (E), and the incorporation of a highly conserved prophage into the genome of ST131 (B2). The tail structure of the prophage is evolutionarily related to R2-pyocin (a tailocin) from Pseudomonas aeruginosa PAO1. We hypothesize that this molecular machinery is highly likely to play an important role in protecting its own colonies; thus, contributing towards the rapid rise of pandemic E. coli ST131. CONCLUSIONS: This study has explored the optimized pangenome development in E. coli. We provide complete GF lists and the pangenome matrix as supplementary data for further studies. We identified biological characteristics of different E. coli subtypes, specifically for phylogroups B1, B2, and E. We found an operon-like genome region coding for a tailocin specific for ST131 strains. The latter is a potential killer weapon providing pandemic E. coli ST131 with an advantage in inter-bacterial competition and, suggestively, explains their dominance as human pathogen among E. coli strains.


Asunto(s)
Infecciones por Escherichia coli , Proteínas de Escherichia coli , Escherichia coli/genética , Escherichia coli/metabolismo , Infecciones por Escherichia coli/epidemiología , Infecciones por Escherichia coli/microbiología , Proteínas de Escherichia coli/genética , Genoma Bacteriano , Humanos , Pandemias , Filogenia , Profagos
2.
Cells ; 11(5)2022 03 02.
Artículo en Inglés | MEDLINE | ID: mdl-35269484

RESUMEN

Aging is the greatest challenge to humankind worldwide. Aging is associated with a progressive loss of physiological integrity due to a decline in cellular metabolism and functions. Such metabolic changes lead to age-related diseases, thereby compromising human health for the remaining life. Thus, there is an urgent need to identify geroprotectors that regulate metabolic functions to target the aging biological processes. Nutrients are the major regulator of metabolic activities to coordinate cell growth and development. Iron is an important nutrient involved in several biological functions, including metabolism. In this study using yeast as an aging model organism, we show that iron supplementation delays aging and increases the cellular lifespan. To determine how iron supplementation increases lifespan, we performed a gene expression analysis of mitochondria, the main cellular hub of iron utilization. Quantitative analysis of gene expression data reveals that iron supplementation upregulates the expression of the mitochondrial tricarboxylic acid (TCA) cycle and electron transport chain (ETC) genes. Furthermore, in agreement with the expression profiles of mitochondrial genes, ATP level is elevated by iron supplementation, which is required for increasing the cellular lifespan. To confirm, we tested the role of iron supplementation in the AMPK knockout mutant. AMPK is a highly conserved controller of mitochondrial metabolism and energy homeostasis. Remarkably, iron supplementation rescued the short lifespan of the AMPK knockout mutant and confirmed its anti-aging role through the enhancement of mitochondrial functions. Thus, our results suggest a potential therapeutic use of iron supplementation to delay aging and prolong healthspan.


Asunto(s)
Hierro , Longevidad , Proteínas Quinasas Activadas por AMP/metabolismo , Envejecimiento/metabolismo , Suplementos Dietéticos , Humanos , Hierro/metabolismo , Mitocondrias/metabolismo , Saccharomyces cerevisiae/metabolismo
3.
Cell Mol Life Sci ; 77(17): 3423-3439, 2020 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-31722069

RESUMEN

SUGCT (C7orf10) is a mitochondrial enzyme that synthesizes glutaryl-CoA from glutarate in tryptophan and lysine catabolism, but it has not been studied in vivo. Although mutations in Sugct lead to Glutaric Aciduria Type 3 disease in humans, patients remain largely asymptomatic despite high levels of glutarate in the urine. To study the disease mechanism, we generated SugctKO mice and uncovered imbalanced lipid and acylcarnitine metabolism in kidney in addition to changes in the gut microbiome. After SugctKO mice were treated with antibiotics, metabolites were comparable to WT, indicating that the microbiome affects metabolism in SugctKO mice. SUGCT loss of function contributes to gut microbiota dysbiosis, leading to age-dependent pathological changes in kidney, liver, and adipose tissue. This is associated with an obesity-related phenotype that is accompanied by lipid accumulation in kidney and liver, as well as "crown-like" structures in adipocytes. Furthermore, we show that the SugctKO kidney pathology is accelerated and exacerbated by a high-lysine diet. Our study highlights the importance of non-essential genes with no readily detectable early phenotype, but with substantial contributions to the development of age-related pathologies, which result from an interplay between genetic background, microbiome, and diet in the health of mammals.


Asunto(s)
Envejecimiento , Coenzima A Transferasas/genética , Microbioma Gastrointestinal , Síndrome Metabólico/patología , Animales , Antibacterianos/farmacología , Bacterias/genética , Bacterias/aislamiento & purificación , Carnitina/análogos & derivados , Carnitina/metabolismo , Coenzima A Transferasas/deficiencia , Suplementos Dietéticos , Heces/microbiología , Microbioma Gastrointestinal/efectos de los fármacos , Humanos , Riñón/metabolismo , Riñón/patología , Metabolismo de los Lípidos , Hígado/metabolismo , Hígado/patología , Lisina/administración & dosificación , Síndrome Metabólico/metabolismo , Metaboloma/efectos de los fármacos , Ratones , Ratones Noqueados , Obesidad/metabolismo , Obesidad/patología , Triptófano/metabolismo
4.
J Biol Chem ; 286(52): 45048-62, 2011 Dec 30.
Artículo en Inglés | MEDLINE | ID: mdl-22057399

RESUMEN

The import of a subset of peroxisomal matrix proteins is mediated by the peroxisomal targeting signal 2 (PTS2). The results of our sequence and physical property analysis of known PTS2 signals and of a mutational study of the least characterized amino acids of a canonical PTS2 motif indicate that PTS2 forms an amphipathic helix accumulating all conserved residues on one side. Three-dimensional structural modeling of the PTS2 receptor PEX7 reveals a groove with an evolutionarily conserved charge distribution complementary to PTS2 signals. Mammalian two-hybrid assays and cross-complementation of a mutation in PTS2 by a compensatory mutation in PEX7 confirm the interaction site. An unstructured linker region separates the PTS2 signal from the core protein. This additional information on PTS2 signals was used to generate a PTS2 prediction algorithm that enabled us to identify novel PTS2 signals within human proteins and to describe KChIP4 as a novel peroxisomal protein.


Asunto(s)
Proteínas de Interacción con los Canales Kv/genética , Peroxisomas/genética , Señales de Clasificación de Proteína/genética , Receptores Citoplasmáticos y Nucleares/genética , Animales , Células COS , Chlorocebus aethiops , Humanos , Receptor de la Señal 2 de Direccionamiento al Peroxisoma , Peroxisomas/metabolismo , Estructura Secundaria de Proteína , Receptores Citoplasmáticos y Nucleares/metabolismo
5.
Science ; 306(5700): 1383-6, 2004 Nov 19.
Artículo en Inglés | MEDLINE | ID: mdl-15550674

RESUMEN

Mobilization of fatty acids from triglyceride stores in adipose tissue requires lipolytic enzymes. Dysfunctional lipolysis affects energy homeostasis and may contribute to the pathogenesis of obesity and insulin resistance. Until now, hormone-sensitive lipase (HSL) was the only enzyme known to hydrolyze triglycerides in mammalian adipose tissue. Here, we report that a second enzyme, adipose triglyceride lipase (ATGL), catalyzes the initial step in triglyceride hydrolysis. It is interesting that ATGL contains a "patatin domain" common to plant acyl-hydrolases. ATGL is highly expressed in adipose tissue of mice and humans. It exhibits high substrate specificity for triacylglycerol and is associated with lipid droplets. Inhibition of ATGL markedly decreases total adipose acyl-hydrolase activity. Thus, ATGL and HSL coordinately catabolize stored triglycerides in adipose tissue of mammals.


Asunto(s)
Adipocitos/metabolismo , Tejido Adiposo/metabolismo , Movilización Lipídica , Lipoproteína Lipasa/metabolismo , Esterol Esterasa/metabolismo , Células 3T3-L1 , Adipocitos/enzimología , Tejido Adiposo/enzimología , Tejido Adiposo Pardo/enzimología , Tejido Adiposo Pardo/metabolismo , Secuencia de Aminoácidos , Animales , Células COS , Proteínas Quinasas Dependientes de AMP Cíclico/metabolismo , Citoplasma/enzimología , ADN Complementario , Diglicéridos/metabolismo , Ácidos Grasos/metabolismo , Silenciador del Gen , Glicerol/metabolismo , Humanos , Isoproterenol/farmacología , Lipólisis , Lipoproteína Lipasa/química , Lipoproteína Lipasa/genética , Lipoproteína Lipasa/inmunología , Ratones , Datos de Secuencia Molecular , Fosforilación , Estructura Terciaria de Proteína , ARN Mensajero/genética , ARN Mensajero/metabolismo , Esterol Esterasa/genética , Especificidad por Sustrato , Transfección , Triglicéridos/metabolismo
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