98%
921
2 minutes
20
The bioprospecting of enzymes that operate under extreme conditions is of particular interest for many biotechnological and industrial processes. Nevertheless, there is a considerable limitation to retrieve novel enzymes as only a small fraction of microorganisms derived from extreme environments can be cultured under standard laboratory conditions. Functional metagenomics has the advantage of not requiring the cultivation of microorganisms or previous sequence information to known genes, thus representing a valuable approach for mining enzymes with new features. In this review, we summarize studies showing how functional metagenomics was employed to retrieve genes encoding for proteins involved not only in molecular adaptation and resistance to extreme environmental conditions but also in other enzymatic activities of biotechnological interest.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.copbio.2016.01.017 | DOI Listing |
Microb Genom
September 2025
International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK.
High rates of mortality of the common cockle, , have occurred in the Wash Estuary, UK, since 2008. A previous study linked the mortalities to a novel genotype of , with a strong correlation between cockle moribundity and the presence of . Here, we characterize a novel iridovirus, identified by chance during metagenomic sequencing of a gradient purification of cells, with the presence also correlated to cockle moribundity.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China.
The turnover of dissolved organic matter (DOM) in soil regulated by biodegradable microplastics (MPs) has garnered much attention due to its profound impact on the storage and stability of soil organic matter. However, the transformation and reactivity of plant-derived and microbially derived DOM by microorganisms adapted to biodegradable MPs, and the involved microbial physiological processes, remain nearly unknown. Here, we added virgin and aged polylactic acid (PLA) and polyhydroxyalkanoate (PHA) to agricultural soils and incubated for 56 days.
View Article and Find Full Text PDFBackground: Actinomyces graevenitzii is a relatively uncommon Actinomyces species, which is an oral species and predominantly recovered from respiratory locations [1,2]. It is a gram-positive anaerobic bacteria or microaerobic filamentation bacteria, which can induce pyogenic and granulomatous inflammation characterized by swelling and concomitant pus, sinus formation, and the formation of yellow sulfur granules. All tissues and organs can be infected; the most common type involves the neck and face (55%), followed by the abdominal and pelvic cavities (20%).
View Article and Find Full Text PDFAPMIS
September 2025
Laboratory of Parasitology, Department of Bacteria, Parasites and Fungi, Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Clinical microbiology involves the detection and differentiation of primarily bacteria, viruses, parasites and fungi in patients with infections. Billions of people may be colonised by one or more species of common luminal intestinal parasitic protists (CLIPPs) that are often detected in clinical microbiology laboratories; still, our knowledge on these organisms' impact on global health is very limited. The genera Blastocystis, Dientamoeba, Entamoeba, Endolimax and Iodamoeba comprise CLIPPs species, the life cycles of which, as opposed to single-celled pathogenic intestinal parasites (e.
View Article and Find Full Text PDFBrain Behav
September 2025
Department of Neurosurgery, First Medical Center of the Chinese PLA General Hospital, Beijing, People's Republic of China.
Background: The gut microbiota plays a crucial role in the development of glioma. With the evolution of artificial intelligence technology, applying AI to analyze the vast amount of data from the gut microbiome indicates the potential that artificial intelligence and computational biology hold in transforming medical diagnostics and personalized medicine.
Methods: We conducted metagenomic sequencing on stool samples from 42 patients diagnosed with glioma after operation and 30 non-intracranial tumor patients and developed a Gradient Boosting Machine (GBM) machine learning model to predict the glioma patients based on the gut microbiome data.