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Auto Tag: Environmental microbiology

July 7, 2019  |  

Characterization and genome analysis of a phthalate esters-degrading strain Sphingobium yanoikuyae SHJ.

A bacterium capable of utilizing dimethyl phthalate (DMP), diethyl phthalate (DEP), di-n-butyl phthalate (DBP), and diisobuthyl phthalate (DIBP) as the sole carbon and energy source was isolated from shallow aquifer sediments. The strain was identified as Sphingobium yanoikuyae SHJ based on morphological characteristics, 16S rDNA gene phylogeny, and whole genome average nucleotide identity (ANI). The degradation half-life of DBP with substrate concentration of 8.5 and 50.0 mg/L by strain SHJ was 99.7 and 101.4 hours, respectively. The optimum degradation rate of DBP by SHJ was observed at 30°C and weak alkaline (pH 7.5). Genome sequence of the strain SHJ showed a circular chromosome and additional two circular plasmids with whole genome size of 5,669,383 bp and GC content of 64.23%. Functional annotation of SHJ revealed a total of 5,402 genes, with 5,183 protein-encoding genes, 143 pseudogenes, and 76 noncoding RNA genes. Based on genome annotation, 44 genes were identified to be involved in PAEs hydrolysis potentially. Besides, a region with size of about 6.9 kb comprised of seven ORFs, which is located on the smaller plasmid pSES189, was presumed to be responsible for the biodegradation of phthalate. These results provide insights into the genetic basis of DBP biodegradation in this strain.

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July 7, 2019  |  

DNA sequences and predicted protein structures of prot6E and sefA genes for Salmonella ser. Enteritidis detection

Genes prot6E and sefA are used as targets for detection of Salmonella enterica subsp. enterica serovar Enteritidis (Salmonella ser. Enteritidis). We investigated variations in these genes across 64 different Salmonella ser. Enteritidis strains isolated from egg and chicken samples, then used Whole Genome Sequence (WGS) data to model the structures of their protein products. Isolates were sequenced using Illumina technologies. Based on the resulting phylogenetic tree, our isolates clustered in 2 distinct clades. All isolates carried prot6E and sefA. Comparative genomic analyses indicated two non-synonymous mutations (Glycine ? Serine and Valine ? Isoleucine) of prot6E in 11 isolates (9 egg samples, 2 chicken samples). However, SWISS-MODEL was unable to clearly model the protein structure of these two mutations. We identified one non-synonymous mutation (Valine ? Glutamic Acid) in the sefA gene in 4 isolates from egg samples. The model for the protein structure of this mutant gene was clearly different from that of the other isolates studied herein. Circular maps of plasmid genomes from two PacBio platform-sequenced Salmonella ser. Enteritidis isolates revealed prot6E gene was located on the tail of the plasmid. Based on the biosynthesis of amino acids – Reference pathway in the KEGG pathway Database, the transition of amino acid from sefA Var. was a transversion from essential amino acid to non-essential amino acid, while that of prot6E Var.1 happened between the conditionally non-essential amino acid, and prot6E Var. 2 occurred between essential amino acids. Properties of these mutated amino acids, such as side-chain polarity or charge, may contribute to the occurrence and rate of mutations in prot6E and sefA. These insights can be used to improve detection methods for Salmonella ser. Enteritidis.

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July 7, 2019  |  

Complete genome sequence of an efficient vitamin D3-hydroxylating bacterium, Pseudonocardia autotrophica NBRC 12743.

Pseudonocardia autotrophica NBRC 12743 contains a cytochrome P450 vitamin D3hydroxylase, and it is used as a biocatalyst for the commercial produc- tion of hydroxyvitamin D3, a valuable compound for medication. Here, we report the complete genome sequence of P. autotrophica NBRC 12743, which could be useful for improving the productivity of hydroxyvitamin D3.

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July 7, 2019  |  

The gold-standard genome of Aspergillus niger NRRL 3 enables a detailed view of the diversity of sugar catabolism in fungi.

The fungal kingdom is too large to be discovered exclusively by classical genetics. The access to omics data opens a new opportunity to study the diversity within the fungal kingdom and how adaptation to new environments shapes fungal metabolism. Genomes are the foundation of modern science but their quality is crucial when analysing omics data. In this study, we demonstrate how one gold-standard genome can improve functional prediction across closely related species to be able to identify key enzymes, reactions and pathways with the focus on primary carbon metabolism. Based on this approach we identified alternative genes encoding various steps of the different sugar catabolic pathways, and as such provided leads for functional studies into this topic. We also revealed significant diversity with respect to genome content, although this did not always correlate to the ability of the species to use the corresponding sugar as a carbon source.

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