Genome-wide analysis of codon usage bias patterns in an enterotoxigenic <Emphasis Type="Italic">Escherichia coli</Emphasis> F18 strain

Enterogenic Escherichia coli (ETEC) F18 strains are the main pathogenic bacteria causing severe diarrhea in humans and domestic animals. However, the information about synonymous codon usage pattern of ETEC F18 genome remains unclear. We conducted a genome-wide analysis of synonymous codon usage patterns in the ETEC F18 strain SRA: SAMN02471895. After filtering of the complete genome sequence, 4327 coding sequences were analyzed using multivariate statistical methods to calculate synonymous codon usage patterns and to evaluate the influence of various factors in shaping the codon usage. The mean GC content was 51.38%, with a slight preference for G/C-ending codons. Twenty-two codons were determined as ‘‘optimal codons”. ENC plots showed some of the genes were on or close to the expected curve, while only points with low-ENC values were below the curve. PR2 analysis showed that GC and AT were not used proportionally, suggesting major roles for mutational pressure and natural selection in shaping usage. Neutrality plots showed a significant correlation between GC12 and GC3, suggesting that mutational pressure is responsible for nucleotide composition in shaping the strength of codon usage. Translational selection was the main factor shaping the codon usage pattern of ETEC F18 genome, while other factors such as protein length, GRAVY and ARO values also influenced codon usage to some extent. We analyzed the codon usage pattern systematically and identified the factors shaping codon usage bias in the ETEC F18 genome. Such information further elucidates the mechanisms of synonymous codon usage bias and provides the basis of molecular genetic engineering and evolutionary studies.     

Mutation at Intronic Repeats of the Ataxia-Telangiectasia Mutated (ATM) Gene and ATM Protein Loss in Primary Gastric Cancer with Microsatellite Instability

Ataxia-telangiectasia mutated (ATM) is a Ser/Thr protein kinase that plays a critical role in DNA damage-induced signaling and initiation of cell cycle checkpoint signaling in response to DNA-damaging agents such as ionizing radiation. We have previously reported the ATM protein loss by immunohistochemistry (IHC) in 16% of human gastric cancer (GC) tissue. We hypothesized that ATM gene intron mutations targeted by microsatellite instability (MSI) cause ATM protein loss in a subset of GC. We studied mononucleotide mutations at the intron of ATM gene, ATM IHC and MSI in GC. Ten human gastric cancer cell lines were studied for the ATM gene mutation at introns, RT-PCR, direct sequencing, and immunohistochemistry. GC tissues of 839 patients were analyzed for MSI and ATM IHC. Among them, 604 cases were analyzed for the ATM mutations at introns preceding exon 6, exon 10 and exon 20. Two human GC cell lines (SNU-1 and -638) showed ATM intron mutations, deletion in RT-PCR and direct sequencing, and ATM protein loss by IHC. The frequencies of ATM mutation, MSI, and ATM protein loss were 12.9% (78/604), 9.2% (81/882) and 15.2% (134/839), respectively. Analysis of associations among MSI, ATM gene mutation, and ATM protein loss revealed highly co-existing ATM gene alterations and MSI. ATM intron mutation and ATM protein loss were detected in 69.3% (52/75) and 53.3% (40/75) of MSI positive GC. MSI positivity and ATM protein loss were present in 68.4% (52/76) and 48.7% (37/76) of GC with ATM intron mutation. ATM mutation and ATM protein loss had characteristics of old age, distal location of tumor, large tumor size, and histologic intestinal type. Our study might be interpreted as that ATM gene mutation at intron might be targeted by MSI and lead to ATM protein loss in a selected group of GC.     

Steroid-transforming enzymes in fungi

Fungal species are a very important source of many different enzymes, and the ability of fungi to transform steroids has been used for several decades in the production of compounds with a sterane skeleton. Here, we review the characterised and/or purified enzymes for steroid transformations, dividing them into two groups: (i) enzymes of the ergosterol biosynthetic pathway, including data for, e.g. ERG11 (14α-demethylase), ERG6 (C-24 methyltransferase), ERG5 (C-22 desaturase) and ERG4 (C-24 reductase); and (ii) the other steroid-transforming enzymes, including different hydroxylases (7α-, 11α-, 11β-, 14α-hydroxylase), oxidoreductases (5α-reductase, 3β-hydroxysteroid dehydrogenase/isomerase, 17β-hydroxysteroid dehydrogenase, C-1/C-2 dehydrogenase) and C-17-C-20 lyase. The substrate specificities of these enzymes, their cellular localisation, their association with protein super-families, and their potential applications are discussed. Article from a special issue on steroids and microorganisms.