Background: Quantitative PCR (qPCR) is one of the most common and accurate methods of gene expression analysis. However, the biggest challenge for this kind of examinations is normalization of the results, which requires the application of dependable internal controls. The selection of appropriate reference genes (RGs) is one of the most crucial points in qPCR data analysis and for correct assessment of gene expression. Because of the fact that many reports indicate that the expression profiles of typically used RGs can be unstable in certain experimental conditions, species or tissues, reference genes with stable expression levels should be selected individually for each experiment. In this study, we analysed a set of ten candidate RGs for wheat seedlings under short-term drought stress. Our tests included five ‘traditional’ RGs (GAPDH, ACT, UBI, TUB, and TEF1) and five novel genes developed by the RefGenes tool from the Genevestigator database. Results: Expression stability was assessed using five different algorithms: geNorm, NormFinder, BestKeeper, RefFinder and the delta Ct method. In the final ranking, we identified three genes: CJ705892, ACT, and UBI, as the best candidates for housekeeping genes. However, our data indicated a slight variation between the different algorithms that were used. We revealed that the novel gene CJ705892, obtained by means of in silico analysis, showed the most stable expression in the experimental tissue and condition. Conclusions: Our results support the statement, that novel genes selected for certain experimental conditions have a more stable level of expression in comparison to routinely applied RGs, like genes encoding actin, tubulin or GAPDH. Selected CJ705892 gene can be used as a housekeeping gene in the expression analysis in wheat seedlings under short-term drought. The results of our study will be useful for subsequent analyses of gene expression in wheat tissues subjected to drought.

Background: Succinic acid (SA), a valuable chemical compound with a broad range of industrial uses, has become a subject of global interest in recent years. The bio-based production of SA by highly efficient microbial producers from renewable feedstock is significantly important, regarding the current trend of sustainable development.Results: In this study, a novel bacterial strain, LU2, was isolated from cow rumen and recognized as an efficient producer of SA from lactose. Proteomic and genetic identifications as well as phylogenetic analysis were performed, and strain LU2 was classified as anEnterobacter aerogenesspecies. The optimal conditions for SA production were 100 g/L lactose, 10 g/L yeast extract, and 20% inoculum at pH 7.0 and 34 °C. Under these conditions, approximately 51.35 g/L SA with a yield of 53% was produced when batch fermentation was conducted in a 3-L stirred bioreactor. When lactose was replaced with whey permeate, the highest SA concentration of 57.7 g/L was achieved with a yield and total productivity of 62% and 0.34 g/(L*h), respectively. The highest productivity of 0.67 g/(L*h) was observed from 48 to 72 h of batch fermentation, whenE.aerogenesLU2 produced 16.23 g/L SA.Conclusions: This study shows that the newly isolated strainE.aerogenesLU2 has great potential as a new biocatalyst for producing SA from whey permeate.

The commercialization of DNA tagging is a growing trend that demonstrates the increasing practicality of this novel approach. This interdisciplinary technology is based on the distinctive characteristics of DNA as a molecule that can remain stable in varying environmental conditions and store data following appropriate preparation. Moreover, newly developed technologies could simplify DNA synthesis and the encoding of data within DNA. The implementation of DNA tagging presents distinctive benefits in comparison to conventional labelling techniques, including universal product code (UPC) barcoding, radio-frequency identification (RFID), quick response (QR) codes, and Bluetooth technologies, by surmounting the limitations encountered by these systems. The discourse pertains to extant DNA-tagging mechanisms along with prospective implementations in a wide range of domains, including but not limited to art, the metaverse, forensics, wildlife monitoring, and the military. The potential of DNA labelling in various contexts underscores the importance of continued research and development in this rapidly evolving field.

Enterobacter aerogenes LU2 was isolated from cow rumen and recognized as a potential succinic acid producer in our previous study. Here, we present the first complete genome sequence of this new, wild strain and report its basic genetic features from a biotechnological perspective. The MinION single-molecule nanopore sequencer supported by the Illumina MiSeq platform yielded a circular 5,062,651 bp chromosome with a GC content of 55% that lacked plasmids. A total of 4,986 genes, including 4,741 protein-coding genes, 22 rRNA-, 86 tRNA-, and 10 ncRNA-encoding genes and 127 pseudogenes, were predicted. The genome features of the studied strain and other Enterobacteriaceae strains were compared. Functional studies on the genome content, metabolic pathways, growth, and carbon transport and utilization were performed. The genomic analysis indicates that succinic acid can be produced by the LU2 strain through the reductive branch of the tricarboxylic acid cycle (TCA) and the glyoxylate pathway. Antibiotic resistance genes were determined, and the potential for bacteriocin production was verified. Furthermore, one intact prophage region of length ~31,9 kb, 47 genomic islands (GIs) and many insertion sequences (ISs) as well as tandem repeats (TRs) were identified. No clustered regularly interspaced short palindromic repeats (CRISPRs) were found. Finally, comparative genome analysis with well-known succinic acid producers was conducted. The genome sequence illustrates that the LU2 strain has several desirable traits, which confirm its potential to be a highly efficient platform for the production of bulk chemicals.

Background: Phenylketonuria (PKU) is a metabolic disorder that necessitates dietary restrictions, potentially impacting the composition of gut and oral microbiota. This study aimed to compare the microbiota composition between children with PKU and healthy controls. Methods: Using 16S rRNA gene sequencing, we analysed microbial communities at six phylogenetic levels. Results: Our findings revealed significant differences in the gut microbiota: Euryarchaeota was more abundant in controls (p = 0.01), while Bacilli and Lactobacillales were higher in PKU children (p = 0.019). Methanobacteriales were significantly elevated in controls (p = 0.01). At the genus and species levels, PKU children had higher Streptococcus and Eubacterium dolichum (p = 0.019, p = 0.015), whereas controls had more Barnesiella, Coprococcus, and Faecalibacterium prausnitzii (p = 0.014, p = 0.019, p = 0.014). In the oral microbiota, control children exhibited significantly higher Bacteroidetes (p = 0.032), while PKU children had increased Bacilli and Betaproteobacteria (p = 0.0079, p = 0.016). Streptococcus and Neisseria were more prevalent in PKU (p = 0.0079, p = 0.016). Conclusions: These results suggest that PKU and its dietary management significantly alter the gut and oral microbiota composition. Understanding these microbial shifts could have implications for managing PKU and improving patient outcomes.

Enterobacter sp. LU1, a wild-type bacterium originating from goat rumen, proved to be a potential succinic acid producer in previous studies. Here, the first complete genome of this strain was obtained and analyzed from a biotechnological perspective. A hybrid sequencing approach combining short (Illumina MiSeq) and long (ONT MinION) reads allowed us to obtain a single continuous chromosome 4,636,526 bp in size, with an average 55.6% GC content that lacked plasmids. A total of 4425 genes, including 4283 protein-coding genes, 25 ribosomal RNA (rRNA)-, 84 transfer RNA (tRNA)-, and 5 non-coding RNA (ncRNA)-encoding genes and 49 pseudogenes, were predicted. It has been shown that genes involved in transport and metabolism of carbohydrates and amino acids and the transcription process constitute the major group of genes, according to the Clusters of Orthologous Groups of proteins (COGs) database. The genetic ability of the LU1 strain to metabolize a wide range of industrially relevant carbon sources has been confirmed. The genome exploration indicated that Enterobacter sp. LU1 possesses all genes that encode the enzymes involved in the glycerol metabolism pathway. It has also been shown that succinate can be produced as an end product of fermentation via the reductive branch of the tricarboxylic acid cycle (TCA) and the glyoxylate pathway. The transport system involved in succinate excretion into the growth medium and the genes involved in the response to osmotic and oxidative stress have also been recognized. Furthermore, three intact prophage regions ~70.3 kb, ~20.9 kb, and ~49.8 kb in length, 45 genomic islands (GIs), and two clustered regularly interspaced short palindromic repeats (CRISPR) were recognized in the genome. Sequencing and genome analysis of Enterobacter sp. LU1 confirms many earlier results based on physiological experiments and provides insight into their genetic background. All of these findings illustrate that the LU1 strain has great potential to be an efficient platform for bio-based succinate production.