Evidence for cometabolic transformation of weathered toxaphene under aerobic conditions using camphor as a co-substrate

XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes

Application of machine learning-based methods to identify novel bacterial enzymes capable of degrading a wide range of xenobiotics offers enormous potential for bioremediation of toxic and carcinogenic recalcitrant xenobiotics such as pesticides, plastics, petroleum, and pharmacological products that adversely impact ecology and health. Using 6814 diverse substrates involved in ∼141 200 biochemical reactions, we have developed 'XenoBug', a machine learning-based tool that predicts bacterial enzymes, enzymatic reaction, the species capable of biodegrading xenobiotics, and the metagenomic source of the predicted enzymes. For training, a hybrid feature set was used that comprises 1603 molecular descriptors and linear and circular fingerprints. It also includes enzyme datasets consisting of ∼3.3 million enzyme sequences derived from an environmental metagenome database and ∼16 million enzymes from ∼38 000 bacterial genomes. For different reaction classes, XenoBug shows very high binary accuracies (>0.75) and F1 scores (>0.62). XenoBug is also validated on a set of diverse classes of xenobiotics such as pesticides, environmental pollutants, pharmacological products, and hydrocarbons known to be degraded by the bacterial enzymes. XenoBug predicted known as well as previously unreported metabolic enzymes for the degradation of molecules in the validation set, thus showing its broad utility to predict the metabolism of any input xenobiotic molecules. XenoBug is available on: https://metabiosys.iiserb.ac.in/xenobug.

Biodegradation of pesticide in agricultural soil employing entomopathogenic fungi: Current state of the art and future perspectives

Pesticides play a pivotal role in agriculture for the effective production of various crops. The indiscriminate use of pesticides results in the significant bioaccumulation of pesticide residues in vegetables. This situation is beyond the control of consumers and poses a serious health issue for human beings. Occupational exposure to pesticides may occur for farmers, agricultural workers, and industrial producers of pesticides. This occupational exposure primarily causes food and water contamination that gets into humans and environmental pollution. Depending on the toxicity of pesticides, the causes and effects differ in the environment and in human health. The number of criteria used and the method of implementation employed to assess the effect of pesticides on humans and the environment have been increasing, as they may provide characterization of pesticides that are already on the market as well as those that are on the way. The biological control of pests has been increasing nowadays to combat all these effects caused by synthetic pesticides. Myco-biocontrol has received great attention in research because it has no negative impact on humans, the environment, or non-target species. Entomopathogenic fungi are microbes that have the ability to kill insect pests. Fungi also make enzymes like the lytic enzymes, esterase, oxidoreductase, and cytochrome P450, which react with chemical residues in the field and break them down into nontoxic substances. In this review, the authors looked at how entomopathogenic fungi break down insecticides in the environment and how their enzymes break down insecticides on farms.