Vassiliki Lila Koumandou

Glyphosate Oxidoreductase (Gox) is an enzyme known to degrade glyphosate, an intensively used wide-spectrum herbicide. Although it was first reported back in 1995, much remains unknown about its role in bacteria, its distribution across the bacterial kingdom, and its structure. This information would be valuable for better understanding the degradation pathway of glyphosate and for discovering new enzymes with the same potential. In the present study, a holistic evolutionary analysis has been performed towards identifying homologue proteins within the FAD-dependent/binding oxidoreductases family and extracting critical characteristics related to conserved protein domains and motifs that play a key role in this enzyme’s function. A total of 2220 representative protein sequences from 843 species and 10 classes of bacteria were analyzed, from which 4 protein domains, 2 characteristic/functional regions, and 8 conserved motifs were identified based on multiple sequence alignment and the annotated information from biological databases. The major goal of this study is the presentation of a novel phylogenetic tree for the Gox-related proteins to identify the major protein clusters and correlate them based on their sequence, structural, and functional information towards identifying new possible pharmacological targets that are related to this specific enzyme function. Considering the lack of information about Gox, the aim of this paper is to fill in these knowledge gaps, which can help determine the biological role of Gox and consequently better understand its function.

Cynanchica paphlagonica from Kastamonu Province (Türkiye) is described and illustrated. Detailed morphological observations and phylogenetic analysis place C. paphlagonica within a small monophyletic group of Anatolian-Pontic species. While the new species more closely resembles C. stricta in general morphology, it is distinguished by its habit, and inflorescence, corolla and mericarp characters. Cynanchica paphlagonica inhabits limestone cliffs and rocks, with its distribution limited to the Pınarbaşı district in Kastamonu Province. A single population comprising approximately 80 individuals is known so far, leading to its classification as Endangered (EN) following IUCN Red List Criteria.

Bioremediation, the degradation of environmental pollutants by living organisms, has immense potential to lead to a greener planet. Bioinformatics analysis can contribute to the identification of novel microorganisms, which biodegrade contaminants, or of participating proteins and enzymes, and the elucidation of the complex metabolic pathways involved. In this study, we focus on C-P lyase and glyphosate oxidoreductase (Gox), two enzymes which degrade glyphosate, a widely used pesticide. Amino acid sequences of the two enzymes were collected from a broad range of microorganisms using the KEGG database and BLAST. Based on this, we identified additional lineages, with putative glyphosate-degrading activity, for which no glyphosate-degrading species have been reported yet. The conserved residues in each enzyme were identified via multiple alignments and mapped onto the 3D structures of the enzymes, using PyMOL, leading to novel insights into their function. As the experimental structure of Gox is still unknown, we created structural models based on three different programs and compared the results. This approach can be used to yield insights into the characteristics of potential glyphosate-degrading enzymes. Given the limited information available, such a step is important to gain further knowledge about them, which can contribute to their application in bioremediation in the future.

In recent years, further evidence has emerged regarding the involvement of extracellular vesicles in various human physiopathological conditions such as Alzheimer’s disease, Parkinson’s disease, irritable bowel syndrome, and mental disorders. The biogenesis and cargo of such vesicles may reveal their impact on human health nd disease and set the underpinnings for the development of novel chemical compounds and pharmaceuticals. In this review, we examine the link between bacteria-derived exosomes in the gastrointestinal tract and mental disorders, such as depression and anxiety disorders. Crucially, we focus on whether changes in the gut environment affect the human mental state or the other way around. Furthermore, the possibility of handling bacteria-derived exosomes as vectors of chemicals to treat such conditions is examined.

Prokaryotic extracellular vesicles (EVs) are vesicles that bud from the cell membrane and are secreted by bacteria and archaea. EV cargo in Gram-negative bacteria includes mostly periplasmic and outer membrane proteins. EVs are clinically important as their cargo can include toxins associated with bacterial virulence and toxicity; additionally, they have been proposed as efficient vaccine agents and as the ancestors of the eukaryotic endomembrane system. However, the mechanistic details behind EV cargo selection and release are still poorly understood. In this study, we have performed bioinformatics analysis of published data on EV proteomes from 38 species of bacteria and 4 archaea. Focusing on clusters of orthologous genes (COGs) and using the EggNOG mapper function, we have identified cargo proteins that are commonly found in EVs across species. We discuss the putative role of these prominent proteins in EV biogenesis and function. We also analyzed the published EV proteomes for conserved signal sequences and discuss the potential role of these signal sequences for EV cargo selection.

Endomembrane system compartments are significant elements in virtually all eukaryotic cells, supporting functions including protein synthesis, post‐translational modifications and protein/lipid targeting. In terms of membrane area the endoplasmic reticulum (ER) is the largest intracellular organelle, but the origins of proteins defining the organelle and the nature of lineage‐specific modifications remain poorly studied. To understand the evolution of factors mediating ER morphology and function we report a comparative genomics analysis of experimentally characterized ER‐associated proteins involved in maintaining ER structure. We find that reticulons, REEPs, atlastins, Ufe1p, Use1p, Dsl1p, TBC1D20, Yip3p and VAPs are highly conserved, suggesting an origin at least as early as the last eukaryotic common ancestor (LECA), although many of these proteins possess additional non‐ER functions in modern eukaryotes. Secondary losses are common in individual species and in certain lineages, for example lunapark is missing from the Stramenopiles and the Alveolata. Lineage‐specific innovations include protrudin, Caspr1, Arl6IP1, p180, NogoR, kinectin and CLIMP‐63, which are restricted to the Opisthokonta. Hence, much of the machinery required to build and maintain the ER predates the LECA, but alternative strategies for the maintenance and elaboration of ER shape and function are present in modern eukaryotes. Moreover, experimental investigations for ER maintenance factors in diverse eukaryotes are expected to uncover novel mechanisms.

Quorum sensing (QS) is a cell-to-cell communication system that enables bacteria to coordinate their gene expression depending on their population density, via the detection of small molecules called autoinducers. In this way bacteria can act collectively to initiate processes like bioluminescence, virulence and biofilm formation. Autoinducers are detected by receptors, some of which are part of two-component signal transduction systems (TCS), which comprise of a (usually membrane-bound) sensor histidine kinase (HK) and a cognate response regulator (RR). Different QS systems are used by different bacterial taxa, and their relative evolutionary relationships have not been extensively studied. To address this, we used the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to identify all the QS HKs and RRs that are part of TCSs and examined their conservation across microbial taxa. We compared the combinations of the highly conserved domains in the different families of receptors and response regulators using the Simple Modular Architecture Research Tool (SMART) and KEGG databases, and we also carried out phylogenetic analyses for each family, and all families together. The distribution of the different QS systems across taxa, indicates flexibility in HK–RR pairing and highlights the need for further study of the most abundant systems. For both the QS receptors and the response regulators, our results indicate close evolutionary relationships between certain families, highlighting a common evolutionary history which can inform future applications, such as the design of novel inhibitors for pathogenic QS systems.

Asperula naufragais a rare and threatened obligate chasmophyte, endemic to Zakynthos island (Ionian islands, Greece). In this study, we provide a combined approach (including monitoring of demographic and reproductive parameters and study of genetic diversity) to assess the current conservation status of the species and to estimate its future extinction risk. The five subpopulations ofA.naufragawere monitored for five years (2014–2018). Population size markedly fluctuated between 68–130 mature individuals during the monitoring period. The extent of occurrence (EOO) was estimated at 28.7 km²and the area of occupancy (AOO) was 8 km². Stage-structure recordings were similar for all subpopulations, characterized by high proportions of adult and senescent individuals, following a common pattern, which has been observed in other cliff-dwelling plants. Preliminary genetic analysis with SSRs markers revealed low heterozygosity within subpopulations and significant departure from H-W equilibrium, which combined with small population size suggest increased threat of genetic diversity loss. Our results indicate that the species should be placed in the Critically Endangered (CR) IUCN threat category, while according to Population Viability Analysis results its extinction risk increases to 47.8% in the next 50 years. The small population size combined with large fluctuations in its size, low recruitment and low genetic diversity, indicate the need of undertaking effectivein situandex situconservation measures.

Quorum sensing (QS) is a cell-to-cell communication system that enables bacteria to coordinate their gene expression depending on their population density, via the detection of small molecules called autoinducers. In this way bacteria can act collectively to initiate processes like bioluminescence, virulence and biofilm formation. Autoinducers are detected by receptors, some of which are part of Two Component Signal Transduction Systems (TCS), which comprise of a (usually membrane-bound) sensor histidine kinase (HK) and a cognate response regulator (RR). Different QS systems are used by different bacterial taxa, and their relative evolutionary relationships have not been extensively studied. To address this, we used the KEGG database to identify all the QS HKs and RRs that are part of TCS and examined their conservation across microbial taxa. We compared the combinations of the highly conserved domains in the different families of receptors and response regulators using the SMART and KEGG databases, and we also carried out phylogenetic analyses for each family, and all families together. The distribution of the different QS systems across taxa, indicates flexibility in HK/RR pairing, and highlights the need for further study of the most abundant systems. For both the QS receptors and the response regulators, our analysis indicates close evolutionary relationships between certain families, highlighting a common evolutionary history which can inform future applications, such as the design of novel inhibitors for pathogenic QS systems.