Comparison of gut microbiota structure and Actinobacteria abundances in healthy young adults and elderly subjects: a pilot study.

BACKGROUND: The aim was to determine the potential association of the gut microbiota composition, especially the abundance of Actinobacteria, as well as the differentiation of functional and resistance genes with age (young adults vs elderly subjects) in China. RESULTS: The patterns of relative abundance of all bacteria isolated from fecal samples differed between young adults and elderly subjects, but the alpha diversity (Chao1 P = 0.370, Shannon P = 0.560 and Simpson P = 0.270) and beta diversity (ANOSIM R = 0.031, P = 0.226) were not significantly different. There were 3 Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways (carbon metabolism, inositol phosphate metabolism, and sesquiterpenoid and triterpenoid biosynthesis) and 7 antibiotic resistant genes (ARGs) (macrolide lincosamide-streptogramin B (MLSB), tetracycline, aminoglycoside, sulfonamide, fosmidomycin, lincomycin, and vancomycin) that showed significant differences between the 2 groups (all P < 0.05). The abundance of Actinomycetes was enriched (about 2.4-fold) in young adults. Bifidobacteria dominated in both young adults and elderly subjects, with overall higher abundances in young adults (P > 0.05). Only the Bifidobacterium_dentium species showed significant differences between the 2 groups (P = 0.013), with a higher abundance in elderly subjects but absent in young adults. CONCLUSIONS: The present study revealed that there were 3 KEGG metabolic pathways and 7 ARGs as well as enhanced Bifidobacterium_dentium species abundance in elderly compared to young subjects.

Highlighting Human Enzymes Active in Different Metabolic Pathways and Diseases: The Case Study of EC 1.2.3.1 and EC 2.3.1.9.

Enzymes are key proteins performing the basic functional activities in cells. In humans, enzymes can be also responsible for diseases, and the molecular mechanisms underlying the genotype to phenotype relationship are under investigation for diagnosis and medical care. Here, we focus on highlighting enzymes that are active in different metabolic pathways and become relevant hubs in protein interaction networks. We perform a statistics to derive our present knowledge on human metabolic pathways (the Kyoto Encyclopaedia of Genes and Genomes (KEGG)), and we found that activity aldehyde dehydrogenase (NAD(+)), described by Enzyme Commission number EC 1.2.1.3, and activity acetyl-CoA C-acetyltransferase (EC 2.3.1.9) are the ones most frequently involved. By associating functional activities (EC numbers) to enzyme proteins, we found the proteins most frequently involved in metabolic pathways. With our analysis, we found that these proteins are endowed with the highest numbers of interaction partners when compared to all the enzymes in the pathways and with the highest numbers of predicted interaction sites. As specific enzyme protein test cases, we focus on Alpha-Aminoadipic Semialdehyde Dehydrogenase (ALDH7A1, EC 2.3.1.9) and Acetyl-CoA acetyltransferase, cytosolic and mitochondrial (gene products of ACAT2 and ACAT1, respectively; EC 2.3.1.9). With computational approaches we show that it is possible, by starting from the enzyme structure, to highlight clues of their multiple roles in different pathways and of putative mechanisms promoting the association of genes to disease.

Identification of novel drug targets for humans and potential vaccine targets for cattle by subtractive genomic analysis of Brucella abortus strain 2308.

Brucella abortus is the causative agent of brucellosis, a neglected endemic zoonotic disease. It causes devastating economic losses in low income and developing countries. Clinical symptoms of infected cows include abortion, poor weight, reduced fertility gain and reduction in milk production. Transmission of the zoonotic disease from cattle to human can occur through direct contact with infected cows, their tissues (e.g. placenta or aborted tissues), or their products (e.g. dairy) whereas human-to-human transmission can occur transplacentally or via breastfeeding. Malaise, fatigue, fever, arthritis are some clinical symptom of the disease in humans. Recent studies have revealed that Brucella abortus show resistance to several antibiotics. There are worldwide concerns about rising levels of antibiotic resistance resulting in the treatment failure as well as the reduced usefulness of older broad-spectrum antibiotics. Hence, a rather novel method has been in use to combat resistant pathogens since the last decade. To overcome this challenge, subtractive genomic analysis has been successfully carried out with the whole proteome of Brucella abortus strain 2308 using various bioinformatic tools and servers. Proteins nonhomologous to cattle and human were selected for metabolic analysis. Only three membrane proteins (ABC transporter permease, acriflavine resistance protein B, penicillin-binding protein 2) were found to be potential novel vaccine candidates with cattle as the host whereas one membrane protein (ABC transporter permease) was selected as novel drug target with human as the host. Development of novel vaccines and therapeutics through targeting inhibition of the functions of any of these essential proteins can lead to disruption of pathogen-specific metabolic pathways and thereby to the destruction and the eradication of this pathogen from respective hosts. The results of this study could facilitate the discovery and release of new and effective drugs and help in designing and producing potent vaccines against Brucella abortus strain 2308.

The Queen Conch (Lobatus gigas) Proteome: A Valuable Tool for Biological Studies in Marine Gastropods.

Queen conch (Lobatus gigas) is a marine gastropod endemic to the Caribbean. This species is a cultural symbol, being a significant local food source and the second largest commercial fishery in the region. However, over-exploitation and natural habitat degradation have exerted high survival pressure on this species. This work aims to provide novel proteomic data to highlight the metabolism of the species and to provide an important tool for the understanding of queen conch biology and physiology. Herein, we profiled the whole proteome from 3 organs (gills, digestive gland and muscle) of L. gigas combining gel-free and gel-based techniques. Overall 420 clusters of proteins were identified corresponding to the minimum identification requirement of protein sequence redundancy. Gene ontology and KEGG analysis highlighted 59 metabolic pathways between identified proteins. The most relevant routes according to the number of sequences found per pathway were purine and thiamine metabolism, closely related to nucleotide and carbohydrate metabolism. We also emphasize the high number of proteins associated to the biosynthesis of antibiotics (93 proteins and a total of 28 enzymes), which were among the top-twenty pathways identified by KEGG analysis. The proteomics approach allowed the identification and description of putative markers of oxidative stress, xenobiotic metabolism, heat shock response and respiratory chain for the first time in the species, which could be extremely useful in future investigations for diagnosing and monitoring L. gigas population health.

Evolutionary transition from blood feeding to obligate nonbiting in a mosquito.

The spread of blood-borne pathogens by mosquitoes relies on their taking a blood meal; if there is no bite, there is no disease transmission. Although many species of mosquitoes never take a blood meal, identifying genes that distinguish blood feeding from obligate nonbiting is hampered by the fact that these different lifestyles occur in separate, genetically incompatible species. There is, however, one unique extant species with populations that share a common genetic background but blood feed in one region and are obligate nonbiters in the rest of their range: Wyeomyia smithii Contemporary blood-feeding and obligate nonbiting populations represent end points of divergence between fully interfertile southern and northern populations. This divergence has undoubtedly resulted in genetic changes that are unrelated to blood feeding, and the challenge is to winnow out the unrelated genetic factors to identify those related specifically to the evolutionary transition from blood feeding to obligate nonbiting. Herein, we determine differential gene expression resulting from directional selection on blood feeding within a polymorphic population to isolate genetic differences between blood feeding and obligate nonbiting. We show that the evolution of nonbiting has resulted in a greatly reduced metabolic investment compared with biting populations, a greater reliance on opportunistic metabolic pathways, and greater reliance on visual rather than olfactory sensory input. W. smithii provides a unique starting point to determine if there are universal nonbiting genes in mosquitoes that could be manipulated as a means to control vector-borne disease.

Identification of potential drug targets by subtractive genome analysis of Escherichia coli O157:H7: an in silico approach.

Bacterial enteric infections resulting in diarrhea, dysentery, or enteric fever constitute a huge public health problem, with more than a billion episodes of disease annually in developing and developed countries. In this study, the deadly agent of hemorrhagic diarrhea and hemolytic uremic syndrome, Escherichia coli O157:H7 was investigated with extensive computational approaches aimed at identifying novel and broad-spectrum antibiotic targets. A systematic in silico workflow consisting of comparative genomics, metabolic pathways analysis, and additional drug prioritizing parameters was used to identify novel drug targets that were essential for the pathogen's survival but absent in its human host. Comparative genomic analysis of Kyoto Encyclopedia of Genes and Genomes annotated metabolic pathways identified 350 putative target proteins in E. coli O157:H7 which showed no similarity to human proteins. Further bio-informatic approaches including prediction of subcellular localization, calculation of molecular weight, and web-based investigation of 3D structural characteristics greatly aided in filtering the potential drug targets from 350 to 120. Ultimately, 44 non-homologous essential proteins of E. coli O157:H7 were prioritized and proved to have the eligibility to become novel broad-spectrum antibiotic targets and DNA polymerase III alpha (dnaE) was the top-ranked among these targets. Moreover, druggability of each of the identified drug targets was evaluated by the DrugBank database. In addition, 3D structure of the dnaE was modeled and explored further for in silico docking with ligands having potential druggability. Finally, we confirmed that the compounds N-coeleneterazine and N-(1,4-dihydro-5H-tetrazol-5-ylidene)-9-oxo-9H-xanthene-2-sulfon-amide were the most suitable ligands of dnaE and hence proposed as the potential inhibitors of this target protein. The results of this study could facilitate the discovery and release of new and effective drugs against E. coli O157:H7 and other deadly human bacterial pathogens.