Directed evolution predicts cytochrome b G37V target site modification as probable adaptive mechanism towards the QiI fungicide fenpicoxamid in Zymoseptoria tritici

Acquired resistance is a threat to antifungal efficacy in medicine and agriculture. The diversity of possible resistance mechanisms and highly adaptive traits of pathogens make it difficult to predict evolutionary outcomes of treatments. We used directed evolution as an approach to assess the resistance risk to the new fungicide fenpicoxamid in the wheat pathogenic fungus Zymoseptoria tritici. Fenpicoxamid inhibits complex III of the respiratory chain at the ubiquinone reduction site (Qi site) of the mitochondrially encoded cytochrome b, a different site than the widely used strobilurins which inhibit the same complex at the ubiquinol oxidation site (Q_o site). We identified the G37V change within the cytochrome b Q_i site as the most likely resistance mechanism to be selected in Z. tritici. This change triggered high fenpicoxamid resistance and halved the enzymatic activity of cytochrome b, despite no significant penalty for in vitro growth. We identified negative cross-resistance between isolates harbouring G37V or G143A, a Q_o site change previously selected by strobilurins. Double mutants were less resistant to both QiIs and quinone outside inhibitors compared to single mutants. This work is a proof of concept that experimental evolution can be used to predict adaptation to fungicides and provides new perspectives for the management of QiIs.     

Soil biota,carbon cycling and crop plant biomass responses to biochar in a temperate mesocosm experiment

Plant and Soil - Shifts of plant community composition with enhanced atmospheric nitrogen (N) deposition in grasslands have occurred globally. Despite extensive studies on the effects of enhanced N...     

Evaluation of Plasma Trace Elements in Different Stages of Nonalcoholic Fatty Liver Disease

Biological Trace Element Research - Nonalcoholic fatty liver disease (NAFLD) is considered as the hepatic manifestation of metabolic syndrome. Its global prevalence is estimated between 25 and 45%,...     

Tumor necrosis factor-alpha activation of the c-Jun N-terminal kinase pathway in human neutrophils. Integrin involvement in a pathway leading from cytoplasmic tyrosine kinases apoptosis

The intensity and duration of an inflammatory response depends on the balance of factors that favor perpetuation versus resolution. At sites of inflammation, neutrophils adherent to other cells or matrix components are exposed to tumor necrosis factor-alpha (TNFalpha). Although TNFalpha has been implicated in induction of pro-inflammatory responses, it may also inhibit the intensity of neutrophilic inflammation by promoting apoptosis. Since TNFalpha is not only an important activator of the stress-induced pathways leading to p38 MAPk and c-Jun N-terminal kinase (JNK) but also a potent effector of apoptosis, we investigated the effects of TNFalpha on the JNK pathway in adherent human neutrophils and the potential involvement of this pathway in neutrophil apoptosis. Stimulation with TNFalpha was found to result in beta2 integrin-mediated activation of the cytoplasmic tyrosine kinases Pyk2 and Syk, and activation of a three-part MAPk module composed of MEKK1, MKK7, and/or MKK4 and JNK1. JNK activation was attenuated by blocking antibodies to beta2 integrins, the tyrosine kinase inhibitors, genistein, and tyrphostin A9, a Pyk2-specific inhibitor, and piceatannol, a Syk-specific inhibitor. Exposure of adherent neutrophils to TNFalpha led to the rapid onset of apoptosis that was demonstrated by augmented annexin V binding and caspase-3 cleavage. TNFalpha-induced increases in annexin V binding to neutrophils were attenuated by blocking antibodies to beta2 integrins, and the caspase-3 cleavage was attenuated by tyrphostin A9. Hence, exposure of adherent neutrophils to TNFalpha leads to utilization of the JNK-signaling pathways that may contribute to diverse functional responses including induction of apoptosis and subsequent resolution of the inflammatory response.     

Cold acclimation can induce microtubular cold stability in a manner distinct from abscisic acid

The response of cortical microtubules to low temperature was investigated for the Chinese winter wheat (Triticum aestivum L.) cultivar Jing Nong 934. Microtubules in the cortex of the root elongation zone disassembled rapidly in response to a cold shock of -7 degrees C and reassembled upon rewarming to 25 degrees C. The microtubules acquired resistance against this cold shock in response to cold acclimation in chilling, but non-freezing, temperature or after a treatment with abscisic acid (ABA). Cold acclimation and ABA differed with respect to the appearance of microtubules: fine, transverse strands were observed after cold acclimation, whereas ABA produced steeply oblique microtubule bundles. The findings are discussed in terms of an ABA-independent pathway for acquired cold stability of microtubules.     

Severe global DNA hypomethylation blocks differentiation and induces histone hyperacetylation in embryonic stem cells

It has been reported that DNA methyltransferase 1-deficient (Dnmt1-/-) embryonic stem (ES) cells are hypomethylated (20% CpG methylation) and die through apoptosis when induced to differentiate. Here, we show that Dnmt[3a-/-,3b-/-] ES cells with just 0.6% of their CpG dinucleotides behave differently: the majority of cells within the culture are partially or completely blocked in their ability to initiate differentiation, remaining viable while retaining the stem cell characteristics of alkaline phosphatase and Oct4 expression. Restoration of DNA methylation levels rescues these defects. Severely hypomethylated Dnmt[3a-/-,3b-/-] ES cells have increased histone acetylation levels, and those cells that can differentiate aberrantly express extraembryonic markers of differentiation. Dnmt[3a-/-,3b-/-] ES cells with >10% CpG methylation are able to terminally differentiate, whereas Dnmt1-/- ES cells with 20% of the CpG methylated cannot differentiate. This demonstrates that successful terminal differentiation is not dependent simply on adequate methylation levels. There is an absolute requirement that the methylation be delivered by the maintenance enzyme Dnmt1.     

The evolutionary gain of spliceosomal introns: sequence and phase preferences

Theories regarding the evolution of spliceosomal introns differ in the extent to which the distribution of introns reflects either a formative role in the evolution of protein-coding genes or the adventitious gain of genetic elements. Here, systematic methods are used to assess the causes of the present-day distribution of introns in 10 families of eukaryotic protein-coding genes comprising 1,868 introns in 488 distinct alignment positions. The history of intron evolution inferred using a probabilistic model that allows ancestral inheritance of introns, gain of introns, and loss of introns reveals that the vast majority of introns in these eukaryotic gene families were not inherited from the most recent common ancestral genes, but were gained subsequently. Furthermore, among inferred events of intron gain that meet strict criteria of reliability, the distribution of sites of gain with respect to reading-frame phase shows a 5:3:2 ratio of phases 0, 1 and 2, respectively, and exhibits a nucleotide preference for MAG GT (positions -3 to +2 relative to the site of gain). The nucleotide preferences of intron gain may prove to be the ultimate cause for the phase bias. The phase bias of intron gain is sufficient to account quantitatively for the well-known 5:3:2 bias in phase frequencies among extant introns, a conclusion that holds even when taxonomic heterogeneity in phase patterns is considered. Thus, intron gain accounts for the vast majority of extant introns and for the bias toward phase 0 introns that previously was interpreted as evidence for ancient formative introns.     

Combining evolutionary and structural information for local protein structure prediction

We study the effects of various factors in representing and combining evolutionary and structural information for local protein structural prediction based on fragment selection. We prepare databases of fragments from a set of non-redundant protein domains. For each fragment, evolutionary information is derived from homologous sequences and represented as estimated effective counts and frequencies of amino acids (evolutionary frequencies) at each position. Position-specific amino acid preferences called structural frequencies are derived from statistical analysis of discrete local structural environments in database structures. Our method for local structure prediction is based on ranking and selecting database fragments that are most similar to a target fragment. Using secondary structure type as a local structural property, we test our method in a number of settings. The major findings are: (1) the COMPASS-type scoring function for fragment similarity comparison gives better prediction accuracy than three other tested scoring functions for profile-profile comparison. We show that the COMPASS-type scoring function can be derived both in the probabilistic framework and in the framework of statistical potentials. (2) Using the evolutionary frequencies of database fragments gives better prediction accuracy than using structural frequencies. (3) Finer definition of local environments, such as including more side-chain solvent accessibility classes and considering the backbone conformations of neighboring residues, gives increasingly better prediction accuracy using structural frequencies. (4) Combining evolutionary and structural frequencies of database fragments, either in a linear fashion or using a pseudocount mixture formula, results in improvement of prediction accuracy. Combination at the log-odds score level is not as effective as combination at the frequency level. This suggests that there might be better ways of combining sequence and structural information than the commonly used linear combination of log-odds scores. Our method of fragment selection and frequency combination gives reasonable results of secondary structure prediction tested on 56 CASP5 targets (average SOV score 0.77), suggesting that it is a valid method for local protein structure prediction. Mixture of predicted structural frequencies and evolutionary frequencies improve the quality of local profile-to-profile alignment by COMPASS.