Disentangling genetic and epigenetic determinants of ultrafast adaptation

A major rationale for the advocacy of epigenetically mediated adaptive responses is that they facilitate faster adaptation to environmental challenges. This motivated us to develop a theoretical–experimental framework for disclosing the presence of such adaptation‐speeding mechanisms in an experimental evolution setting circumventing the need for pursuing costly mutation–accumulation experiments. To this end, we exposed clonal populations of budding yeast to a whole range of stressors. By growth phenotyping, we found that almost complete adaptation to arsenic emerged after a few mitotic cell divisions without involving any phenotypic plasticity. Causative mutations were identified by deep sequencing of the arsenic‐adapted populations and reconstructed for validation. Mutation effects on growth phenotypes, and the associated mutational target sizes were quantified and embedded in data‐driven individual‐based evolutionary population models. We found that the experimentally observed homogeneity of adaptation speed and heterogeneity of molecular solutions could only be accounted for if the mutation rate had been near estimates of the basal mutation rate. The ultrafast adaptation could be fully explained by extensive positive pleiotropy such that all beneficial mutations dramatically enhanced multiple fitness components in concert. As our approach can be exploited across a range of model organisms exposed to a variety of environmental challenges, it may be used for determining the importance of epigenetic adaptation‐speeding mechanisms in general.     

Effect of corynetoxin isolated from parasitized annual ryegrass on albumin and transferrin synthesis and secretion by cultured fetal rat hepatocytes

A group of glycolipid toxins, corynetoxin (CT), isolated from parasitized annual ryegrass, was shown to suppress the synthesis of both albumin and transferrin by cultured fetal rat hepatocytes. Based on [³H]leucine incorporation, inhibition of transferrin synthesis was greater than that of both albumin and total protein synthesis. As a result, the secretion of albumin and transferrin was decreased. The incorporation of [³H]N-AcGlc into cellular glycoproteins was only marginally affected by CT, although a dramatic reduction was observed with respect to the secreted proteins. Transferrin secreted into the culture medium was substantially non-glycosylated, judging by the absence of [³H]N-AcGlc. These studies suggested that the toxin preferentially affects the synthesis, and hence the secretion of glycoproteins, although it did not block the secretion of the proteins albumin and transferrin, as these did not accumulate intercellularly. Since transferrin labelled with [³H]leucine but not [³H]N-AcGlc is detected in the culture medium of hepatocytes exposed to CT, it was concluded that glycosylation of the protein is not required for secretion. This study shows that the effects of CT on protein synthesis and secretion in cultured hepatocytes are similar to those reported for tunicamycin (TM).     

A novel harmony search-K means hybrid algorithm for clustering gene expression data

Recent progress in bioinformatics research has led to the accumulation of huge quantities of biological data at various data sources. The DNA microarray technology makes it possible to simultaneously analyze large number of genes across different samples. Clustering of microarray data can reveal the hidden gene expression patterns from large quantities of expression data that in turn offers tremendous possibilities in functional genomics, comparative genomics, disease diagnosis and drug development. The k- ¬means clustering algorithm is widely used for many practical applications. But the original k-¬means algorithm has several drawbacks. It is computationally expensive and generates locally optimal solutions based on the random choice of the initial centroids. Several methods have been proposed in the literature for improving the performance of the k-¬means algorithm. A meta-heuristic optimization algorithm named harmony search helps find out near-global optimal solutions by searching the entire solution space. Low clustering accuracy of the existing algorithms limits their use in many crucial applications of life sciences. In this paper we propose a novel Harmony Search-K means Hybrid (HSKH) algorithm for clustering the gene expression data. Experimental results show that the proposed algorithm produces clusters with better accuracy in comparison with the existing algorithms.     

Genes and pseudogenes for human U2 RNA: Implications for the mechanism of pseudogene formation

Three loci, designated U2/4, U2/6 and U2/7, which contain sequences related to human U2 RNA, have been studied. The U2/6 locus contains a tandem array of bona fide U2 genes. U2/4 and U2/7, in contrast, contain pseudogenes whose sequences deviate significantly from that of mammalian U2 RNA. The two pseudogenes appear to have been created by different mechanisms. The sequences that flank the pseudogene in the U2/4 locus lack homology to the corresponding sequences in functional human U2 genes, except for 10 base-pairs immediately following the 3′ end. The conserved 3′-flanking segment is homologous to those nucleotides that are present in a U2 RNA precursor. No direct repeats flank the pseudogene in the U2/4 locus. The observations thus suggest that a complementary DNA copy of the U2 RNA precursor was inserted into a blunt-ended chromosomal break to generate the U2/4 locus.The U2/7 locus, in contrast, revealed flanking sequence homology when compared to functional U2 genes, both on the 5′ and 3′ sides of the pseudogene. The homology was interrupted on both sides by repetitive sequences belonging to the Alu family. On the 5′ side the homology continues beyond the Alu repeats whereas on the 3′ side it ends precisely at the Alu repeat. This Alu repeat is inserted in a region where a homocopolymeric region of alternating C and T residues is located in functional U2 loci. The observed organization of the U2/7 locus suggests that a previously functional U2 locus was invaded by Alu repeats and subsequently accumulated base substitutions to become a pseudogene.     

First morphogenetic identification of <i>Fusarium solani</i> isolated from orange fruit in Egypt

Losses due to postharvest decay may occur at any time during postharvest handling, from harvest to consumption affecting the produce quality and quantity. Accurate identification of the pathogen causing postharvest disease is essential to the selection of an appropriate disease control approach. Nine isolates of Fusarium recovered from orange fruit were identified as Fusarium solani. The fungus is involved with fruit decay. The obtained cultures were purified and grown on potato-dextrose agar (PDA), malt yeast agar (MYA), and Czapek's nutrient media (CNM) under light for identification. A pathogenicity test was carried out to fulfil Koch's postulates. The pathogen could only enter ripe orange fruit through wounds and cracks causing the rot disease. The identification of the fungal isolates was confirmed to be F. solani by DNA sequencing, which was 99 to 100% homologous to those deposited in the Gen- Bank. The identity of nine fungal isolates was confirmed to be F. solani by DNA sequencing of the internal transcribed spacer (ITS) rDNA region (GenBank Accession Nos. DQ486874 to DQ486881 and KC758879). To our knowledge, this is the first morphogenetic identification of F. solani isolated from orange fruit in Egypt.