AIMC Topic: Soil Microbiology
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Combining natural language processing and metabarcoding to reveal pathogen-environment associations.
PLoS neglected tropical diseases
Apr 7, 2021
Cryptococcus neoformans is responsible for life-threatening infections that primarily affect immunocompromised individuals and has an estimated worldwide burden of 220,000 new cases each year-with 180,000 resulting deaths-mostly in sub-Saharan Africa...
Artificial intelligence models to predict acute phytotoxicity in petroleum contaminated soils.
Ecotoxicology and environmental safety
Mar 9, 2020
Environment pollutants, especially those from total petroleum hydrocarbons (TPH), have a highly complex chemical, biological and physical impact on soils. Here we study this influence via modelling the TPH acute phytotoxicity effects on eleven sample...
Effects of corn straw on dissipation of polycyclic aromatic hydrocarbons and potential application of backpropagation artificial neural network prediction model for PAHs bioremediation.
Ecotoxicology and environmental safety
Oct 10, 2019
In order to provide a viable option for remediation of PAHs-contaminated soils, a greenhouse experiment was conducted to assess the effect of corn straw amendment (1%, 2%, 4% or 6%, w/w) on dissipation of aged polycyclic aromatic hydrocarbons (PAHs) ...
The latitudinal gradient in rock-inhabiting bacterial community compositions in Victoria Land, Antarctica.
The Science of the total environment
Dec 6, 2018
The harsh conditions in Victoria Land, Antarctica have formed a simple ecosystem dominated by microbes that use rocks as shelters to avoid environmental stressors. The area is composed of basement rocks that illustrate the history of complex deformat...
Prediction of bioavailability and toxicity of complex chemical mixtures through machine learning models.
Chemosphere
Oct 11, 2018
Empirical data from a 6-month mesocosms experiment were used to assess the ability and performance of two machine learning (ML) models, including artificial neural network (NN) and random forest (RF), to predict temporal bioavailability changes of co...
Tracking antibiotic resistance gene pollution from different sources using machine-learning classification.
Microbiome
May 24, 2018
BACKGROUND: Antimicrobial resistance (AMR) has been a worldwide public health concern. Current widespread AMR pollution has posed a big challenge in accurately disentangling source-sink relationship, which has been further confounded by point and non...
Molecular identification and in vitro antifungal susceptibility of Scedosporium complex isolates from high-human-activity sites in Mexico.
Mycologia
Mar 1, 2018
The genus Scedosporium is a complex of ubiquitous moulds associated with a wide spectrum of clinical entities, with high mortality principally in immunocompromised hosts. Ecology of these microorganisms has been studied performing isolations from env...
Desert actinobacteria as a source of bioactive compounds production with a special emphases on Pyridine-2,5-diacetamide a new pyridine alkaloid produced by Streptomyces sp. DA3-7.
Microbiological research
Nov 21, 2017
In the present study, 134 morphologically distinct actinobacteria isolates were obtained from soil samples from 10 different localities in the Saudi Arabian desert. The preliminary screening revealed that 16 of these isolates possessed antimicrobial ...
Alkaloids
Humans
Cryptococcus neoformans
Anti-Infective Agents
Saudi Arabia
Salmonella typhimurium
Escherichia coli
Microbial Sensitivity Tests
Pyridines
Female
Streptomyces
Cell Line, Tumor
MCF-7 Cells
Desert Climate
Adenocarcinoma
Soil Microbiology
Enterococcus faecalis
Breast Neoplasms
Antineoplastic Agents
Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.
PloS one
Jan 9, 2017
The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties associated with conducting studies in radioactively-polluted areas. Data sets from severely contaminated...
Tricalcium phosphate solubilization and nitrogen fixation by newly isolated Aneurinibacillus aneurinilyticus CKMV1 from rhizosphere of Valeriana jatamansi and its growth promotional effect.
Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Dec 24, 2016
Aneurinibacillus aneurinilyticus strain CKMV1 was isolated from rhizosphere of Valeriana jatamansi and possessed multiple plant growth promoting traits like production of phosphate solubilization (260mg/L), nitrogen fixation (202.91nmolethylenemLh), ...
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