Plasmids are mobile genetics elements that play an important role in the environmental adaptation of microorganisms. Although plasmids are usually analyzed in cultured microorganisms, there is a need for methods that allow for the analysis of pools of plasmids (plasmidomes) in environmental samples. To that end, several molecular biology and bioinformatics methods have been developed; however, they are limited to environments with low diversity and cannot recover large plasmids. Here, we present PlasFlow, a novel tool based on genomic signatures that employs a neural network approach for identification of bacterial plasmid sequences in environmental samples. PlasFlow can recover plasmid sequences from assembled metagenomes without any prior knowledge of the taxonomical or functional composition of samples with an accuracy up to 96%. It can also recover sequences of both circular and linear plasmids and can perform initial taxonomical classification of sequences. Compared to other currently available tools, PlasFlow demonstrated significantly better performance on test datasets. Analysis of two samples from heavy metal-contaminated microbial mats revealed that plasmids may constitute an important fraction of their metagenomes and carry genes involved in heavy-metal homeostasis, proving the pivotal role of plasmids in microorganism adaptation to environmental conditions.

Mammalian genes are highly heterogeneous with respect to their nucleotide composition, but the functional consequences of this heterogeneity are not clear. In the previous studies, weak positive or negative correlations have been found between the silent-site guanine and cytosine (GC) content and expression of mammalian genes. However, previous studies disregarded differences in the genomic context of genes, which could potentially obscure any correlation between GC content and expression. In the present work, we directly compared the expression of GC-rich and GC-poor genes placed in the context of identical promoters and UTR sequences. We performed transient and stable transfections of mammalian cells with GC-rich and GC-poor versions of Hsp70, green fluorescent protein, and IL2 genes. The GC-rich genes were expressed several-fold to over a 100-fold more efficiently than their GC-poor counterparts. This effect was not due to different translation rates of GC-rich and GC-poor mRNA. On the contrary, the efficient expression of GC-rich genes resulted from their increased steady-state mRNA levels. mRNA degradation rates were not correlated with GC content, suggesting that efficient transcription or mRNA processing is responsible for the high expression of GC-rich genes. We conclude that silent-site GC content correlates with gene expression efficiency in mammalian cells.

. Reduced colonic microbial diversity is associated with colitis in NHE3-deficient mice.

To investigate the mechanisms regulating the nucleotide usage in mammalian genes, we analyzed the sequences of three physically linked Hsp70 paralogs in human and mouse. We report that the sequences of HSPA1A and HSPA1B genes are almost identical, whereas the HSPA1L gene contains some regions very similar to HSPA1A/B and some regions with much higher divergence. Phylogenetic analysis reveals that gene conversion has homogenized the entire coding regions of HSPA1A/B and several fragments of HSPA1L. The regions undergoing conversion are all very GC rich, contrarily to the regions not subject to conversion. The pattern of nucleotide substitution in mammalian orthologs suggests that the mechanism increasing the GC content is still functioning. To test the possibility that the high GC content facilitates the expression of Hsp70 during heat-shock, we performed in vitro translation experiments. We failed to detect any effect of GC content on the translation efficiency at high temperatures. Taken together, our data strongly support the biased gene conversion hypothesis of GC-content evolution.

Two microbial mats found inside two old (gold and uranium) mines in Zloty Stok and Kowary located in SW Poland seem to form a natural barrier that traps heavy metals leaking from dewatering systems. We performed complex physiological and metagenomic analyses to determine which microorganisms are the main driving agents responsible for self-purification of the mine waters and identify metabolic processes responsible for the observed features. SEM and energy dispersive X-ray microanalysis showed accumulation of heavy metals on the mat surface, whereas, sorption experiments showed that neither microbial mats were completely saturated with heavy metals present in the mine waters, indicating that they have a large potential to absorb significant quantities of metal. The metagenomic analysis revealed that Methylococcaceae and Methylophilaceae families were the most abundant in both communities, moreover, it strongly suggest that backbones of both mats were formed by filamentous bacteria, such as Leptothrix, Thiothrix, and Beggiatoa. The Kowary bacterial community was enriched with the Helicobacteraceae family, whereas the Zloty Stok community consist mainly of Sphingomonadaceae, Rhodobacteraceae, and Caulobacteraceae families. Functional (culture-based) and metagenome (sequence-based) analyses showed that bacteria involved in immobilization of heavy metals, rather than those engaged in mobilization, were the main driving force within the analyzed communities. In turn, a comparison of functional genes revealed that the biofilm formation and heavy metal resistance (HMR) functions are more desirable in microorganisms engaged in water purification than the ability to utilize heavy metals in the respiratory process (oxidation-reduction). These findings provide insight on the activity of bacteria leading, from biofilm formation to self-purification, of mine waters contaminated with heavy metals.

Methanogenic Archaea produce approximately one billion tons of methane annually, but their biology remains largely unknown. This is partially due to the large phylogenetic and phenotypic diversity of this group of organisms, which inhabit various anoxic environments including peatlands, freshwater sediments, landfills, anaerobic digesters and the intestinal tracts of ruminants. Research is also hampered by the inability to cultivate methanogenic Archaea. Therefore, biodiversity studies have relied on the use of 16S rRNA and mcrA [encoding the α subunit of the methyl coenzyme M (methyl-CoM) reductase] genes as molecular markers for the detection and phylogenetic analysis of methanogens. Here, we describe four novel molecular markers that should prove useful in the detailed analysis of methanogenic consortia, with a special focus on methylotrophic methanogens. We have developed and validated sets of degenerate PCR primers for the amplification of genes encoding key enzymes involved in methanogenesis: mcrB and mcrG (encoding β and γ subunits of the methyl-CoM reductase, involved in the conversion of methyl-CoM to methane), mtaB (encoding methanol-5-hydroxybenzimidazolylcobamide Co-methyltransferase, catalyzing the conversion of methanol to methyl-CoM) and mtbA (encoding methylated [methylamine-specific corrinoid protein]:coenzyme M methyltransferase, involved in the conversion of mono-, di- and trimethylamine into methyl-CoM). The sensitivity of these primers was verified by high-throughput sequencing of PCR products amplified from DNA isolated from microorganisms present in anaerobic digesters. The selectivity of the markers was analyzed using phylogenetic methods. Our results indicate that the selected markers and the PCR primer sets can be used as specific tools for in-depth diversity analyses of methanogenic consortia.

Due to their particular properties, detergents are widely used in household cleaning products, cosmetics, pharmaceuticals, and in agriculture as adjuvants tailoring the features of pesticides or other crop protection agents. The continuously growing use of these various products means that water soluble detergents have become one of the most problematic groups of pollutants for the aquatic and terrestrial environments. Thus it is important to identify bacteria having the ability to survive in the presence of large quantities of detergent and efficiently decompose it to non-surface active compounds. In this study, we used peaty soil sampled from a surface flow constructed wetland in a wastewater treatment plant to isolate bacteria that degrade sodium dodecyl sulfate (SDS). We identified and initially characterized 36 Pseudomonas spp. strains that varied significantly in their ability to use SDS as their sole carbon source. Five isolates having the closest taxonomic relationship to the Pseudomonas jessenii subgroup appeared to be the most efficient SDS degraders, decomposing from 80 to 100% of the SDS present in an initial concentration 1 g/L in less than 24 h. These isolates exhibited significant differences in degree of SDS degradation, their resistance to high detergent concentration (ranging from 2.5 g/L up to 10 g/L or higher), and in chemotaxis toward SDS on a plate test. Mass spectrometry revealed several SDS degradation products, 1-dodecanol being dominant; however, traces of dodecanal, 2-dodecanol, and 3-dodecanol were also observed, but no dodecanoic acid. Native polyacrylamide gel electrophoresis zymography revealed that all of the selected isolates possessed alkylsulfatase-like activity. Three isolates, AP3_10, AP3_20, and AP3_22, showed a single band on native PAGE zymography, that could be the result of alkylsulfatase activity, whereas for isolates AP3_16 and AP3_19 two bands were observed. Moreover, the AP3_22 strain exhibited a band in presence of both glucose and SDS, whereas in other isolates, the band was visible solely in presence of detergent in the culture medium. This suggests that these microorganisms isolated from peaty soil exhibit exceptional capabilities to survive in, and break down SDS, and they should be considered as a valuable source of biotechnological tools for future bioremediation and industrial applications.

Phosphorylation of proteins by protein kinases constitutes a major regulatory mechanism in Eukarya, affecting virtually every cellular process. The human genome contains genes coding for over 500 protein kinases [1] and a number of these are well characterized as their mode of regulation, targets and functional roles have been studied in multiple tissues. However, a number of kinases was cloned using molecular screening methods The family of testis-specific serine-threonine kinases (TSSKs) consists of four members whose expression is confined almost exclusively to testis. Very little is known about their physiological role and mechanisms of action. We cloned human and mouse TSSK3 and analysed the biochemical properties, substrate specificity and in vitro activation. In vitro TSSK3 exhibited the ability to autophosphorylate and to phosphorylate test substrates such as histones, myelin basic protein and casein. Interestingly, TSSK3 showed maximal in vitro kinase activity at 30°C, in keeping with it being testis specific. Sequence comparison indicated the existence of a so-called 'T-loop' within the TSSK3 catalytic domain, a structure present in the AGC family of protein kinases. To test if this T-loop is engaged in TSSK3 regulation, we mutated the critical threonine residue within the T-loop to alanine (T168A) which resulted in inactivation of TSSK3 kinase. Furthermore, Thr168 is phosphorylated in vitro by the T-loop kinase phosphoinositide-dependent protein kinase-1 (PDK1). PDK1-induced phosphorylation increased in vitro TSSK3 kinase activity, suggesting that TSSK3 can be regulated in the same way as AGC kinase family members. Analysis of peptide sequences identifies the peptide sequence RRSSSY containing Ser5 that is a target for TSSK3 phosphorylation, as an efficient and specific substrate for TSSK3.Abbreviations AGC, containing PKA, PKG, PKC kinases family; CaMK, calmodulin-dependent protein kinase family; GA beads, glutathione agarose beads; GST, glutathione S-transferase; HA, haemagglutinin A epitope; IPTG, isopropyl b-D-thiogalactopyranoside; MBP, myelin basic protein; p70S6K, p70 ribosomal S6 kinase; PDK1, phosphoinositide-dependent protein kinase-1; PKA, protein kinase A; PKB, protein kinase B; PKC, protein kinase C; p-Ser, phospho-serine; PtdIns3K, phosphatidylinositol 3 kinase; p-Thr, phospho-threonine; p-Tyr, phospho-tyrosine; TSSK, the family of testis specific serine-threonine kinases; TSSK1, 2 or 3, testis specific serine-threonine kinase 1, 2 or 3.