PhyloPrimer: a taxon-specific oligonucleotide design platform.

Many environmental and biomedical biomonitoring and detection studies aim to explore the presence of specific organisms or gene functionalities in microbiome samples. In such cases, when the study hypotheses can be answered with the exploration of a small number of genes, a targeted PCR-approach is appropriate. However, due to the complexity of environmental microbial communities, the design of specific primers is challenging and can lead to non-specific results. We designed PhyloPrimer, the first user-friendly platform to semi-automate the design of taxon-specific oligos (i.e., PCR primers) for a gene of interest. The main strength of PhyloPrimer is the ability to retrieve and align GenBank gene sequences matching the user's input, and to explore their relationships through an online dynamic tree. PhyloPrimer then designs oligos specific to the gene sequences selected from the tree and uses the tree non-selected sequences to look for and maximize oligo differences between targeted and non-targeted sequences, therefore increasing oligo taxon-specificity (positive/negative consensus approach). Designed oligos are then checked for the presence of secondary structure with the nearest-neighbor (NN) calculation and the presence of off-target matches with in silico PCR tests, also processing oligos with degenerate bases. Whilst the main function of PhyloPrimer is the design of taxon-specific oligos (down to the species level), the software can also be used for designing oligos to target a gene without any taxonomic specificity, for designing oligos from preselected sequences and for checking predesigned oligos. We validated the pipeline on four commercially available microbial mock communities using PhyloPrimer to design genus- and species-specific primers for the detection of Streptococcus species in the mock communities. The software performed well on these mock microbial communities and can be found at https://www.cerealsdb.uk.net/cerealgenomics/phyloprimer.

Environmental risk assessment of antibiotics in agroecosystems: ecotoxicological effects on aquatic microbial communities and dissemination of antimicrobial resistances and antibiotic biodegradation potential along the soil-water continuum.

Antibiotics have a wide application range in human and veterinary medicines. Being designed for pharmacological stability, most antibiotics are recalcitrant to biodegradation after ingestion and can be persistent in the environment. Antibiotic residues have been detected as contaminants in various environmental compartments where they cause human and environmental threats, notably with respect to the potential emergence and proliferation of antibiotic-resistant bacteria. An important component of managing environmental risk caused by antibiotics is to understand exposure of soil and water resources to their residues. One challenge is to gain knowledge on the fate of antibiotics in the ecosystem along the soil-water continuum, and on the collateral impact of antibiotics on environmental microorganisms responsible for crucially important ecosystem functions. In this context, the ANTIBIOTOX project aims at studying the environmental fate and impact of two antibiotics of the sulfonamide class of antibiotics, sulfamethazine (SMZ), and sulfamethoxazole (SMX).

Lab to Field Assessment of the Ecotoxicological Impact of Chlorpyrifos, Isoproturon, or Tebuconazole on the Diversity and Composition of the Soil Bacterial Community.

Pesticides are intentionally applied to agricultural fields for crop protection. They can harm non-target organisms such as soil microorganisms involved in important ecosystem functions with impacts at the global scale. Within the frame of the pesticide registration process, the ecotoxicological impact of pesticides on soil microorganisms is still based on carbon and nitrogen mineralization tests, despite the availability of more extensive approaches analyzing the abundance, activity or diversity of soil microorganisms. In this study, we used a high-density DNA microarray (PhyloChip) and 16S rDNA amplicon next-generation sequencing (NGS) to analyze the impact of the organophosphate insecticide chlorpyrifos (CHL), the phenyl-urea herbicide isoproturon (IPU), or the triazole fungicide tebuconazole (TCZ) on the diversity and composition of the soil bacterial community. To our knowledge, it is the first time that the combination of these approaches are applied to assess the impact of these three pesticides in a lab-to-field experimental design. The PhyloChip analysis revealed that although no significant changes in the composition of the bacterial community were observed in soil microcosms exposed to the pesticides, significant differences in detected operational taxonomic units (OTUs) were observed in the field experiment between pesticide treatments and control for all three tested pesticides after 70 days of exposure. NGS revealed that the bacterial diversity and composition varied over time. This trend was more marked in the microcosm than in the field study. Only slight but significant transient effects of CHL or TCZ were observed in the microcosm and the field study, respectively. IPU was not found to significantly modify the soil bacterial diversity or composition. Our results are in accordance with conclusions of the Environmental Food Safety Authority (EFSA), which concluded that these three pesticides may have a low risk toward soil microorganisms.

Interactions between snow chemistry, mercury inputs and microbial population dynamics in an Arctic snowpack.

We investigated the interactions between snowpack chemistry, mercury (Hg) contamination and microbial community structure and function in Arctic snow. Snowpack chemistry (inorganic and organic ions) including mercury (Hg) speciation was studied in samples collected during a two-month field study in a high Arctic site, Svalbard, Norway (79 °N). Shifts in microbial community structure were determined by using a 16S rRNA gene phylogenetic microarray. We linked snowpack and meltwater chemistry to changes in microbial community structure by using co-inertia analyses (CIA) and explored changes in community function due to Hg contamination by q-PCR quantification of Hg-resistance genes in metagenomic samples. Based on the CIA, chemical and microbial data were linked (p = 0.006) with bioavailable Hg (BioHg) and methylmercury (MeHg) contributing significantly to the ordination of samples. Mercury was shown to influence community function with increases in merA gene copy numbers at low BioHg levels. Our results show that snowpacks can be considered as dynamic habitats with microbial and chemical components responding rapidly to environmental changes.

Metagenomic mining for microbiologists.

Microbial ecologists can now start digging into the accumulating mountains of metagenomic data to uncover the occurrence of functional genes and their correlations to microbial community members. Limitations and biases in DNA extraction and sequencing technologies impact sequence distributions, and therefore, have to be considered. However, when comparing metagenomes from widely differing environments, these fluctuations have a relatively minor role in microbial community discrimination. As a consequence, any functional gene or species distribution pattern can be compared among metagenomes originating from various environments and projects. In particular, global comparisons would help to define ecosystem specificities, such as involvement and response to climate change (for example, carbon and nitrogen cycle), human health risks (eg, presence of pathogen species, toxin genes and viruses) and biodegradation capacities. Although not all scientists have easy access to high-throughput sequencing technologies, they do have access to the sequences that have been deposited in databases, and therefore, can begin to intensively mine these metagenomic data to generate hypotheses that can be validated experimentally. Information about metabolic functions and microbial species compositions can already be compared among metagenomes from different ecosystems. These comparisons add to our understanding about microbial adaptation and the role of specific microbes in different ecosystems. Concurrent with the rapid growth of sequencing technologies, we have entered a new age of microbial ecology, which will enable researchers to experimentally confirm putative relationships between microbial functions and community structures.

Cytochromes P450-mediated degradation of fuel oxygenates by environmental isolates.

The degradation of fuel oxygenates [methyl tert-butyl ether (MTBE), ethyl tert-butyl ether (ETBE) and tert-amyl methyl ether (TAME)] by Rhodococcus ruber IFP 2001, Rhodococcus zopfii IFP 2005 and Gordonia sp. IFP 2009 (formerly Mycobacterium sp.) isolated from different environments was compared. Strains IFP 2001, IFP 2005 and IFP 2009 grew on ETBE due in part to the activity of a cytochrome P450, CYP249. All of these strains were able to degrade ETBE to tert-butyl alcohol and are harboring the CYP249 cytochrome P450. They were also able to degrade MTBE and TAME, but ETBE was degraded in all cases most efficiently, with degradation rates measured after growth on ETBE of 2.1, 3.5 and 1.6 mmol ETBE g(-1) dry weight h(-1) for strains IFP 2001, IFP 2005 and IFP 2009, respectively. The phylogenetic relationships between the different ethR (encoding the regulator) and ethB (encoding the cytochrome P450) genes were determined and showed high identity between different ethB genes (>99%). Only ETBE was able to induce the expression of ethB in strains IFP 2001 and IFP 2005 as measured by reverse transcriptase quantitative PCR. Our results are a first indication of the possible role played by the ethB gene in the ecology of ETBE degradation.

Enzymes and genes involved in the aerobic biodegradation of methyl tert-butyl ether (MTBE).

Fuel oxygenates, mainly methyl tert-butyl ether (MTBE) but also ethyl tert-butyl ether (ETBE), are added to gasoline in replacement of lead tetraethyl to enhance its octane index. Their addition also improves the combustion efficiency and therefore decreases the emission of pollutants (CO and hydrocarbons). On the other hand, MTBE, being highly soluble in water and recalcitrant to biodegradation, is a major pollutant of water in aquifers contaminated by MTBE-supplemented gasoline during accidental release. MTBE was shown to be degraded through cometabolic oxidation or to be used as a carbon and energy source by a few microorganisms. We have summarized the present state of knowledge about the microorganisms involved in MTBE degradation and the MTBE catabolic pathways. The role of the different enzymes is discussed as well as the rare and recent data concerning the genes encoding the enzymes involved in the MTBE pathway. The phylogeny of the microorganisms isolated for their capacity to grow on MTBE is also described.

Two arginine repressors regulate arginine biosynthesis in Lactobacillus plantarum.

The repression of the carAB operon encoding carbamoyl phosphate synthase leads to Lactobacillus plantarum FB331 growth inhibition in the presence of arginine. This phenotype was used in a positive screening to select spontaneous mutants deregulated in the arginine biosynthesis pathway. Fourteen mutants were genetically characterized for constitutive arginine production. Mutations were located either in one of the arginine repressor genes (argR1 or argR2) present in L. plantarum or in a putative ARG operator in the intergenic region of the bipolar carAB-argCJBDF operons involved in arginine biosynthesis. Although the presence of two ArgR regulators is commonly found in gram-positive bacteria, only single arginine repressors have so far been well studied in Escherichia coli or Bacillus subtilis. In L. plantarum, arginine repression was abolished when ArgR1 or ArgR2 was mutated in the DNA binding domain, or in the oligomerization domain or when an A123D mutation occurred in ArgR1. A123, equivalent to the conserved residue A124 in E. coli ArgR involved in arginine binding, was different in the wild-type ArgR2. Thus, corepressor binding sites may be different in ArgR1 and ArgR2, which have only 35% identical residues. Other mutants harbored wild-type argR genes, and 20 mutants have lost their ability to grow in normal air without carbon dioxide enrichment; this revealed a link between arginine biosynthesis and a still-unknown CO2-dependent metabolic pathway. In many gram-positive bacteria, the expression and interaction of different ArgR-like proteins may imply a complex regulatory network in response to environmental stimuli.