Regulation Of Division Research Articles

Minimization of the Bacillus subtilis divisome suggests FtsZ and SepF can form an active Z-ring, and reveals the amino acid transporter BraB as a new cell division influencing factor.

Bacterial cytokinesis begins with polymerization of the tubulin homologue FtsZ into a ring-like structure at midcell, the Z-ring, which recruits the late cell division proteins that synthesize the division septum. Assembly of FtsZ is carefully regulated and supported by a dozen conserved cell division proteins. Generally, these proteins are not essential, but removing more than one is in many cases lethal. Therefore, it is still not fully clear how the different protein components contribute to cell division, and whether there is a minimal set of proteins that can execute cell division. In this study, we tried to find the minimal set of proteins that is required to establish an active Z-ring in the model bacterium Bacillus subtilis. By making use of known suppressor mutations we were able to find a gene deletion route that eventually enabled us the remove eight conserved cell division proteins: ZapA, MinC, MinJ, UgtP, ClpX, Noc, EzrA and FtsA. Only FtsZ and its membrane anchor SepF appeared to be required for Z-ring formation. Interestingly, SepF is also the FtsZ anchor in archaea, and both proteins date back to the Last Universal Common Ancestor (LUCA). Viability of the multiple deletion mutant was not greatly affected, although the frequency of cell division was considerably reduced. Whole genome sequencing suggested that the construction of this minimal divisome strain was also possible due to the accumulation of suppressor mutations. After extensive phenotypic testing of these mutations, we found an unexpected cell division regulation function for the branched chain amino acid transporter BraB, which may be related to a change in fatty acid composition. The implications of these findings for the role of SepF, and the construction of a minimal cell division machinery are discussed.

Sodium Butyrate: A Multifaceted Modulator in Colorectal Cancer Therapy.

Background and Objectives: Sodium butyrate (NaB) is a potent modulator of cancer-related gene networks. However, its precise mechanisms of action and effects at elevated doses remain insufficiently explored. This study investigated the impact of NaB at physiologically relevant doses on key cellular metrics (viability, confluence, cell number, morphology, nuclear integrity) and a comprehensive set of apoptosis and proliferation regulators (including underexplored genes) in colorectal cancer (CRC) cells. Materials and Methods: Human HCT-116 cells were treated with increasing NaB concentrations (0-20 mM). Cell viability, confluence, number, morphology, and nuclear integrity were assessed using MTT and imaging assays. RT-PCR was used to determine changes in the expression of critical pro-apoptotic players (BAX, CASP3, PUMA, TP53), anti-apoptotic facilitators (BCL-2, MCL-1), cell division regulators (PCNA, Ki-67, CDKN1), and inflammation genes (NF-κB). Results: This study provides the first exploration of MCL-1 and PCNA modulation by NaB in the context of CRC and HCT-116 cells, offering significant translational insights. All treatments reduced cell viability, confluence, and number in a dose-dependent manner (p < 0.0001). Gene expression revealed dose-related increases in most pro-apoptotic markers (BAX, CASP3, PUMA; p < 0.001), and decreases for the other genes (p < 0.001). BAX emerged as the most responsive gene to NaB, while TP53 showed minimal sensitivity, supporting NaB's effectiveness in p53-compromised phenotypes. Nuclear condensation and fragmentation at higher NaB doses confirmed apoptotic induction. Conclusions: NaB can modulate critical apoptotic and cell cycle genes, disrupt tumor cell proliferation, and overcome resistance mechanisms associated with anti-apoptotic regulators such as MCL-1. By targeting both short-term and long-term anti-apoptotic defenses, NaB shows promise as a preventive and therapeutic agent in CRC, particularly in high-risk phenotypes with compromised p53 functionality. These findings support its potential for integration into combination therapies or dietary interventions aimed at enhancing colonic butyrate levels.

Effect of Seminal Plasma on the Freezability of Boar Sperm.

Seminal plasma is an important component of semen and has a significant effect on sperm function. However, the relationship between seminal plasma and sperm freezing capacity has not been fully studied. Exploring metabolites and proteins related to the boar sperm freezing capacity in seminal plasma, by metabolomic and proteomic approaches, and directly verifying the protective effect of seminal plasma on the cryopreservation of boar sperm using high and low freezability seminal plasma as base freezing extender. Semen samples were collected from 30 different boars, 11 high and 11 low freezing-resistant boars were selected after freezing 2~4 times, and seminal plasma was selected at the same time. Sperm motility and movement parameters were analyzed using a CASA system. Reproductive hormones (Testosterone, progesterone, estradiol, prolactin, prostaglandin F2α, luteinoid hormone) in seminal plasma were detected by ELISA. Analysis of proteins and metabolites in high and low freezing-resistant seminal plasma by proteomics and metabolomics techniques. The six reproductive hormones tested were not significantly associated with sperm freezing resistance. A total of 13 differentially expressed metabolites (DEMs) and 38 differentially expressed proteins (DEPs) were identified, while a total of 348 metabolites and 1000 proteins were identified. These DEMs were related to energy metabolism, drugs, or environmental pollutants, while the DEPs were mainly involved in the cytoskeletal dynamics and cell adhesion processes. There were 33 metabolites and 70 proteins significantly associated with mean progress motility (PM) at 10 min and 2 h after thawing. The 70 related proteins were associated with cell division and cycle regulation in gene ontology (GO) terms, as well as KEGG pathways, thermogeneration, and pyruvate metabolism. Using highly freezable boar SP as a base freezing extender made no difference from using lowly freezable boar SP, and both were not as good as the commercial control. There were significant differences in seminal plasma with different freezability, but the similarity was much greater than the difference. The protection effect of seminal plasma is not remarkable, and it does not exhibit superior cryoprotective properties compared to commercial semen cryoelongators. This study provides a deeper understanding of how seminal plasma composition affects sperm freezabilty. It provides potential biomarkers and targets for improving sperm cryopreservation techniques.

A novel study on spectral division and photothermal regulation in Chinese solar greenhouse derive from nanofluid

Chinese Solar Greenhouse (CSG) is a unique greenhouse structure mainly in northern China. Due to the obstruction of crops and CSG structures, as well as the heat storage characteristics of the north wall of the CSG, the light intensity in the north crop area is lower than that on the south side during the day, and the indoor temperature is lower at night. To improve the above phenomenon, this study proposes an Active Heat Storage and Release System (AHS) composed of Frequency Division Complement Structure (FDCS) suspended on the surface of the north wall that can directly absorb infrared light. At room temperature, when selecting an ATO-WO3/H2O nanofluid with an optical path of 10 mm and a volume fraction of 0.005 %, the average absorption rate of the structure for NIR is 85.4 %, and the average reflectivity for VIS is 75.7 %. It has been verified that on clear winter days, the northern wall area can be illuminated by direct sunlight in the height direction. During the experiment, the heat collection area of the structure was approximately 7.2 m2. FDCS provides reflective supplementary light for crops in the greenhouse; The average cultivation area covered by morning light is 19.6 m2 and the maximum accumulated energy on the ground increased by more than 4 MJ throughout the day. Compared with the control area, the Photosynthetic Photon Flux Density (PPFD) of crops in the experimental area increased by an average of 99.1 and 72.8 μmol m−2 s−1 for red and blue light, respectively. The average increase in plant growth factors was 21.5 %, and the uneven distribution of light in the canopy of crops in the north and south was improved and tended to remain stable. After FDCS was turned on, the average nighttime greenhouse temperature increased by 1.4–1.9 °C, with a daily average heat collection of 16.31 MJ and a nighttime average heat release of 10.42 MJ. The average optical efficiency was 40.4 %, and the daily average heat collection efficiency was 26.7 %.

Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters

BackgroundCuproptosis, a recently identified type of programmed cell death triggered by copper, has mechanisms in Wilms tumor (WT) that are not yet fully understood. This research focuses on examining the link between WT and Cuproptosis-related genes (CRGs), with the goal of developing a predictive model for WT.MethodsFour gene expression datasets related to WT were sourced from the GEO database. Subsequently, expression profiles of CRGs were extracted for differential analysis and immune infiltration studies. Utilizing 105 WT samples, clusters related to Cuproptosis were identified. This involved analyzing associated immune cell infiltration and conducting functional enrichment analysis. Disease-characteristic genes were pinpointed using weighted gene co-expression network analysis. Finally, the WT risk prediction model was constructed by four machine learning methods: random forest, support vector machine (SVM), generalized linear and extreme gradient strength model. The best-performing machine learning model was chosen, and a nomogram was created. The effectiveness of this predictive model was validated using methods such as the calibration curve, decision curve analysis, and by appiying it to the TARGET-GTEx dataset.ResultsThirteen differentially expressed Cuproptosis-related genes were identified. The infiltration level of CD8 + T cells in WT children was lower than that in Normal tissue (NT) children, and the level of M0 infiltration of macrophages and T follicular helper cells was higher than that in NT children. In addition, two clusters of cuproptosis-related WT were identified. Enrichment analysis results indicated that genes in cluster 2 were primarily involved in cell division, nuclear division regulation, DNA biosynthesis process, ubiquitin-mediated proteolysis. The SVM model was judged to be the optimal model using 5 genes. Its accuracy was confirmed through a calibration curve and decision curve analysis, demonstrating satisfactory performance on the TARGET-GTEx validation dataset. Additional analysis revealed that these five genes exhibited high expression in both the TARGET-GTEx validation dataset and sequencing data.ConclusionThis research established a link between WT and Cuproptosis. It developed a predictive model for assessing the risk of WT and pinpointed five key genes associated with the disease.

Asymmetric Cell Division and Satellite Cell Fate Regulation in Skeletal Muscle Aging and Disease

Review Asymmetric Cell Division and Satellite Cell Fate Regulation in Skeletal Muscle Aging and Disease Shenghe Wang 1,2, Guangchuang Yu 3 and Liwei Xie 1,4,5,* 1 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China 2 Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Sciences, Ningxia Medical university, Yinchuan 750004, China 3 Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China 4 School of Life and Health Sciences, Fuyao University of Science and Technology, Fuzhou 350109, China 5 Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China * Correspondence: xielw@gdim.cn Received: 29 July 2024; Revised: 30 September 2024; Accepted: 20 October 2024; Published: 30 October 2024 Abstract: Satellite cells, the resident muscle stem cells, play a crucial role in skeletal muscle regeneration, growth, and repair. Asymmetric cell division is a critical process regulating satellite cell self-renewal and differentiation, and is governed by various intrinsic and extrinsic factors. Key biomarkers of satellite cell characteristics, such as Pax7, MRFs, and Sprouty1, are essential in maintaining satellite cell homeostasis. Signaling pathways, including Notch, Wnt, TGF-β, FGF2, and the PAR complex, intricately regulate satellite cell division and fate determination. Asymmetric division is orchestrated through the establishment of cell polarity and differential distribution of fate determinants. Aging and diseases like Duchenne muscular dystrophy disrupt asymmetric division, leading to impaired satellite cell function and muscle regeneration. Potential therapeutic strategies aim to rejuvenate satellite cells and promote muscle regeneration by targeting the gut microbiome, utilizing gene editing technologies, and harnessing the power of exercise-induced factors. Understanding the molecular mechanisms governing satellite cell behavior and Keywords should be in lowercase and separated by semicolons. Developing innovative therapies hold promise for combating age-related muscle deterioration and pathological conditions characterized due to impaired muscle regeneration. Future research should focus on unraveling the complex regulatory networks and translating findings into effective clinical applications to restore muscle function.

Gene Expression Profiling Regulated by lncRNA H19 Using Bioinformatic Analyses in Glioma Cell Lines.

Glioma, the most common type of primary brain tumor, is characterized by high malignancy, recurrence, and mortality. Long non-coding RNA (lncRNA) H19 is a potential biomarker for glioma diagnosis and treatment due to its overexpression in human glioma tissues and its involvement in cell division and metastasis regulation. This study aimed to identify potential therapeutic targets involved in glioma development by analyzing gene expression profiles regulated by H19. To elucidate the role of H19 in A172 and U87MG glioma cell lines, cell counting, colony formation, and wound healing assays were conducted. RNA-seq data analysis and bioinformatics analyses were performed to reveal the molecular interactions of H19. Cell-based experiments showed that elevated H19 levels were related to cancer cell survival, proliferation, and migration. Bioinformatics analyses identified 2,084 differentially expressed genes (DEGs) influenced by H19 which are involved in cancer progression. Specifically, ANXA5, CLEC18B, RAB42, CXCL8, OASL, USP18, and CDCP1 were positively correlated with H19 expression, while CSDC2 and FOXO4 were negatively correlated. These DEGs were predicted to function as oncogenes or tumor suppressors in gliomas, in association with H19. These findings highlight H19 and its associated genes as potential diagnostic and therapeutic targets for gliomas, emphasizing their clinical significance in patient survival.

Phenotypic characterization and genetic mapping of the semi-dwarf mutant sdw9 in maize.

In summary, we characterized a maize semi-dwarf mutant, sdw9, and successfully isolated the responsible gene, which encodes a GRAS protein, through a combination of map-based cloning and Re-sequencing (Re-seq). Our findings demonstrate that the candidate gene ZmGRAS42 regulates BR signaling genes, thereby influencing internode development. This regulatory function likely involves processes such as cell division, cell cycle regulation and cell wall synthesis. Favorable variations of ZmGRAS42 identified in this study may hold promise for the development of lodging-resistant maize cultivars suitable for high-density planting, contributing to the improvement of maize breeding programs. Plant height and lateral root angle are crucial determinants of plant architecture in maize (Zea mays) which are closely related to lodging resistance at high planting density. These traits are intricately regulated by various phytohormones. Mutations affecting hormone biosynthesis and signaling often lead to reduced yield alongside diminished plant height, posing challenges in breeding dwarf maize varieties. In this study, the maize mutant sdw9 was characterized, which displays shorter stature and altered lateral root angle compared to WT, while showing potential to increase planting density and improve overall yield despite a slight reduction in single-ear yield. Employing positional cloning coupled with Re-seq techniques, we pinpointed a transposon insertion in the candidate gene ZmGRAS42, which encodes a GRAS transcription factor involved in BR signaling in maize. Transcriptome analysis revealed that ZmGRAS42 orchestrates the expression of several known dwarfing genes such as D8, Br2, and Na2, along with genes associated with cell wall organization, cell division, and cell cycle regulation, notably Cesa4, Cesa7, and Cyc11. Furthermore, identification of favorable ZmGRAS42 haplotypes linked to reduced plant height offers novel avenues for maize breeding strategies. These findings not only hold the potential for enhancing maize lodging resistance but also for optimizing land utilization through high-density planting practices.

Profiling of the serum MiRNAome in pediatric egyptian patients with wilms tumor.

Wilms tumor (WT) is a pediatric kidney cancer associated with poor outcomes in patients with unfavorable histological features such as anaplasia. Small non-coding RNAs, such as miRNAs, are known to be involved in WT pathogenesis. However, research on the clinical potential of blood-based miRNAs is limited. This study aimed to profile aberrantly expressed miRNAs in WT serum samples, evaluate their potential to differentiate standard-risk patients with favorable histology from those with anaplastic WTs, and assess their clinical value as minimally invasive biomarkers for WT detection. The study used next-generation sequencing (NGS) to analyze miRNA expressions in serum samples from 37 Egyptian children, including 10 healthy individuals, 14 with non-anaplastic WTs (favorable histology FH-WTs), and 13 with anaplastic WTs (unfavorable histology UnFH-WTs). Functional enrichment analysis was conducted to identify critical pathways and biological processes affected by dysregulated miRNAs, and a network was created for the most promising miRNA-target interactions linked to WT. The study identified a distinct miRNA expression signature of 45 miRNAs (3 upregulated and 42 downregulated) in WT serum samples compared to healthy controls, with 29 miRNAs exclusively dysregulated in FH-WTs and 6 miRNAs dysregulated solely in UnFH-WTs. These dysregulated miRNAs displayed significant enrichment in cancer-related pathways, such as PI3K/AKT, FOXO, and MAPK signaling. In relation to WT clinicopathological features, decreased levels of hsa-miR-2355-3p showed a significant positive correlation with clinical stage (r = 0.6597, p = 0.0006) and WT metastasis (r = 0.439, p = 0.021). The ROC curve analysis revealed that multiple dysregulated miRNAs in WT, specifically hsa-miR-7-5p, hsa-miR-146a-5p, hsa-miR-378a-3p, and hsa-miR-483-5p, exhibited high diagnostic potential for WT, with AUC values exceeding 0.86. Among WT histopathology types, the hsa-miR-1180-3p showed a 2.3 log2fold difference in expression between UnFH-WTs and FH-WTs, indicating its potential as a biomarker with 92% sensitivity and 85% specificity for identifying UnFH-WTs. Its target genes were enriched in pathways related to cell division and cell cycle regulation. In conclusion, hsa-miR-1180-3p could be a reliable blood-based biomarker for distinguishing WT histopathological types, and further research is needed to validate its clinical value.

Coupling of cell growth modulation to asymmetric division and cell cycle regulation in Caulobacter crescentus

In proliferating bacteria, growth rate is often assumed to be similar between daughter cells. However, most of our knowledge of cell growth derives from studies on symmetrically dividing bacteria. In many α-proteobacteria, asymmetric division is a normal part of the life cycle, with each division producing daughter cells with different sizes and fates. Here, we demonstrate that the functionally distinct swarmer and stalked daughter cells produced by the model α-proteobacterium Caulobacter crescentus can have different average growth rates under nutrient-replete conditions despite sharing an identical genome and environment. The discrepancy in growth rate is due to a growth slowdown associated with the cell cycle stage preceding DNA replication (the G1 phase), which initiates in the late predivisional mother cell before daughter cell separation. Both progenies experience a G1-associated growth slowdown, but the effect is more severe in swarmer cells because they have a longer G1 phase. Activity of SpoT, which produces the (p)ppGpp alarmone and extends the G1 phase, accentuates the cell cycle-dependent growth slowdown. Collectively, our data identify a coupling between cell growth, the G1 phase, and asymmetric division that C. crescentus may exploit for environmental adaptation through SpoT activity. This coupling differentially modulates the growth rate of functionally distinct daughter cells, thereby altering the relative abundance of ecologically important G1-specific traits within the population.

Asymptotic decoupling of population growth rate and cell size distribution

The rate at which individual bacterial cells grow depends on the concentrations of cellular components such as ribosomes and proteins. These concentrations continuously fluctuate over time and are inherited from mother to daughter cells, leading to correlations between the growth rates of cells across generations. Division sizes of cells are also stochastic and correlated across generations due to a phenomenon known as cell size regulation. Fluctuations and correlations from both growth and division processes affect the population dynamics of an exponentially growing culture. Here, we provide analytic solutions for the population dynamics of cells with continuously fluctuating growth rates coupled with a generic model of cell-size regulation. We show that in balanced growth, the effects of growth and division processes decouple; the population growth rate only depends on the single-cell growth rate process, and the population cell size distribution only depends on the model of division and cell size regulation. The population growth rate is always higher than the average single-cell growth rate and the difference increases with growth rate variability and its correlation time. This difference also sets the timescale for the population to reach its steady state. We provide analytical solutions for oscillations in population growth rate and traveling waves in size distribution during this approach to the steady state. Published by the American Physical Society 2024

Serine and threonine activate Ser/Thr kinase gene to increase the density of Lactobacillus bulgaricus sp1.1 under salt stress

Salt stress significantly impedes high cell-density culture by suppressing the reproductive capacity of lactic acid bacteria. This study examined the effects of salt stress conditions (2% w/v NaCl) on Lactobacillus bulgaricus sp1.1. Although DNA replication and division ring localization remained unaffected, the down-regulation of the ftsZ and dnaA genes inhibited division ring assembly. Consequently, bacteria exhibited filamentation, increased cell length, and accumulated chromosomes and division rings, which obstructed cell division. Under salt stress, sp1.1 experienced several transcriptional changes. The serine/threonine kinase gene was identified as a significant regulator of bacterial division under salt stress. Exogenous addition of serine and threonine could stimulate the expression of Ser/Thr kinase gene, promote the assembly of division ring, and enhance the dividing ability of the bacterium, which led to a density of 7.93 log CFU/mL under the salt stress, which was 6.92 times higher than that of the untreated group. This study provides a new perspective for high-density cultivation of lactic acid bacteria.

Selective Aurora A-TPX2 Interaction Inhibitors Have In Vivo Efficacy as Targeted Antimitotic Agents.

Aurora A kinase, a cell division regulator, is frequently overexpressed in various cancers, provoking genome instability and resistance to antimitotic chemotherapy. Localization and enzymatic activity of Aurora A are regulated by its interaction with the spindle assembly factor TPX2. We have used fragment-based, structure-guided lead discovery to develop small molecule inhibitors of the Aurora A-TPX2 protein-protein interaction (PPI). Our lead compound, CAM2602, inhibits Aurora A:TPX2 interaction, binding Aurora A with 19 nM affinity. CAM2602 exhibits oral bioavailability, causes pharmacodynamic biomarker modulation, and arrests the growth of tumor xenografts. CAM2602 acts by a novel mechanism compared to ATP-competitive inhibitors and is highly specific to Aurora A over Aurora B. Consistent with our finding that Aurora A overexpression drives taxane resistance, these inhibitors synergize with paclitaxel to suppress the outgrowth of pancreatic cancer cells. Our results provide a blueprint for targeting the Aurora A-TPX2 PPI for cancer therapy and suggest a promising clinical utility for this mode of action.

Mitochondrial Dynamics in Non-Small Cell Lung Cancer.

In lung cancer patients, two complementary abnormalities were found that can cause disruption of the mitochondrial network: increased fusion and impaired fission, manifested by reduced levels of FIS1, a mitochondrial division regulator, and increased expression of MFN1, a mitochondrial fusion mediator. Immunoexpression studies of MFN1 and FIS1 proteins were performed in serum samples obtained from 47 patients with non-small cell lung cancer (NSCLC) and 21 controls. In the NSCLC patients, the immunoexpression of the MFN1 protein was significantly higher, and the FIS1 protein level was significantly lower than in the control group (p < 0.01; p < 0.001; UMW test). Patients with early, operable lung cancer had significantly lower levels of MFN1 immunoexpression compared to patients with advanced, metastatic lung cancer (p < 0.05; UMW test). This suggests that early stages of the disease are characterized by greater fragmentation of damaged mitochondria and apoptosis. In contrast, lower FIS1 protein levels were associated with a worse prognosis. Increased mitochondrial fusion in the blood of lung cancer patients may suggest an increase in protective and repair mechanisms. This opens up questions about why these mechanisms fail in the context of existing advanced cancer disease and is a starting point for further research into why protective mechanisms fail in lung cancer patients.

Nitric oxide is involved in the regulation of guard mother cell division by inhibiting the synthesis of ACC.

A stoma forms by a series of asymmetric divisions of stomatal lineage precursor cell and the terminal division of a guard mother cell (GMC). GMC division is restricted to once through genetic regulation mechanisms. Here, we show that nitric oxide (NO) is involved in the regulation of the GMC division. NO donor treatment results in the formation of single guard cells (SGCs). SGCs are also produced in plants that accumulate high NO, whereas clustered guard cells (GCs) appear in plants with low NO accumulation. NO treatment promotes the formation of SGCs in the stomatal signalling mutants sdd1, epf1 epf2, tmm1, erl1 erl2 and er erl1 erl2, reduces the cell number per stomatal cluster in the fama-1 and flp1 myb88, but has no effect on stomatal of cdkb1;1 cyca2;234. Aminocyclopropane-1-carboxylic acid (ACC), a positive regulator of GMC division, reduces the NO-induced SGC formation. Further investigation found NO inhibits ACC synthesis by repressing the expression of several ACC SYNTHASE (ACS) genes, and in turn ACC represses NO accumulation by promoting the expression of HEMOGLOBIN 1 (HB1) encoding a NO scavenger. This work shows NO plays a role in the regulation of GMC division by modulating ACC accumulation in the Arabidopsis cotyledon.

Evolution and Functional Differentiation of the C-terminal Motifs of FtsZs During Plant Evolution.

Filamentous temperature-sensitive Z (FtsZ) is a tubulin-like GTPase that is highly conserved in bacteria and plants. It polymerizes into a ring at the division site of bacteria and chloroplasts and serves as the scaffold protein of the division complex. While a single FtsZ is present in bacteria and cyanobacteria, there are two subfamilies, FtsZ1 and FtsZ2 in the green lineage, and FtsZA and FtsZB in red algae. In Arabidopsis thaliana, the C-terminal motifs of AtFtsZ1 (Z1C) and AtFtsZ2-1 (Z2C) display distinct functions in the regulation of chloroplast division. Z1C exhibits weak membrane-binding activity, whereas Z2C engages in the interaction with the membrane protein AtARC6. Here, we provide evidence revealing the distinct traits of the C-terminal motifs of FtsZ1 and FtsZ2 throughout the plant evolutionary process. In a range of plant species, the C-terminal motifs of FtsZ1 exhibit diverse membrane-binding properties critical for regulating chloroplast division. In chlorophytes, the C-terminal motifs of FtsZ1 and FtsZ2 exhibit both membrane-binding and protein interaction functions, which are similar to those of cyanobacterial FtsZ and red algal FtsZA. During the transition from algae to land plants, the functions of the C-terminal motifs of FtsZ1 and FtsZ2 exhibit differentiation. FtsZ1 lost the function of interacting with ARC6 in land plants, and the membrane-binding activity of FtsZ2 was lost in ferns. Our findings reveal the functional differentiation of the C-terminal motifs of FtsZs during plant evolution, which is critical for chloroplast division.

Disomic chromosome 3R(3B) substitution causes a complex of meiotic abnormalities in bread wheat Triticum aestivum L.

Triticum aestivum L. lines introgressed with alien chromosomes create a new genetic background that changes the gene expression of both wheat and donor chromosomes. The genes involved in meiosis regulation are localized on wheat chromosome 3B. The purpose of the present study was to investigate the effect of wheat chromosome 3B substituted with homoeologous rye chromosome 3R on meiosis regulation in disomically substituted wheat line 3R(3B). Employing immunostaining with antibodies against microtubule protein, α-tubulin, and the centromere-specific histone (CENH3), as well as FISH, we analyzed microtubule cytoskeleton dynamics and wheat and rye 3R chromosomes behavior in 3R(3B) (Triticum aestivum L. variety Saratovskaya 29 × Secale cereale L. variety Onokhoiskaya) meiosis. The results revealed a set of abnormalities in the microtubule dynamics and chromosome behavior in both first and second divisions. A feature of metaphase I in 3R(3B) was a decrease in the chiasmata number compared with variety Saratovskaya 29, 34.9 ± 0.62 and 41.92 ± 0.38, respectively. Rye homologs 3R in 13.18 % of meiocytes did not form bivalents. Chromosomes were characterized by varying degrees of compaction; 53.33 ± 14.62 cells lacked a metaphase plate. Disturbances were found in microtubule nucleation at the bivalent kinetochores and in their convergence at the spindle division poles. An important feature of meiosis was the asynchronous chromosome behavior in the second division and dyads at the telophase II in 8-13 % of meiocytes, depending on the anther studied. Considering the 3R(3B) meiotic phenotype, chromosome 3B contains the genes involved in the regulation of meiotic division, and substituting 3B3B chromosomes with rye 3R3R does not compensate for their absence.

Comparative metabolite profiling in single and multiple bulb cultivars of shallot (Allium cepa L. Aggregatum group)

Tuk-Tuk and Sanren F1 are two shallot cultivars that exhibit divergent bulb multiplication traits. Tuk-Tuk typically produces one bulb. In contrast, Sanren F1 tends to produce multiple bulbs. This study used metabolomics during bulb development and harvesting. The objective of the study was to identify the metabolites that might affect the bulb multiplication of shallot. The initial samples of both cultivars were collected during the bulbs developmental stage i.e, 11 weeks after sowing (WAS), while the second sample was gathered during harvesting stage (16 WAS). The Proton Nuclear Magnetic Resonance (1H NMR) analysis was applied to freeze-dried shallot bulbs formetabolomics analysis. Multivariate analysis utilizing Principal Component Analysis (PCA) followed by Orthogonal Projections Discriminant Analysis (OPLS-DA) were conducted using MetaboAnalyst 5.0. The 1H NMR spectra revealed 28 putative metabolites. All data, including both cultivars during development and harvesting, was not clearly separated by PCA. However in the development stage, Sanren F1 was observed to have higher histidine than Tuk-Tuk, indicating the involvement of histidine kinase signaling system in the bulb multiplication. Hence, histidine kinase known for its role in the cytokinin signaling which contributing in the cell division regulation and may affect Sanren F1 bulb multiplication. Four metabolites i.e., sucrose, arginine, acetic acid, and myricetin were higher in Tuk-Tuk than Sanren F1, a cultivar tends to produce a single bulb. Valine, phenylalanine, formic acid, and α-linolenic acid were considerably higher in Sanren F1 than Tuk-Tuk during harvesting. There were also several metabolites with greater relative concentrations than the others. Though not all of those metabolites significantly differed amongst the examined cultivars, it was thought that they had an impact on bulb development. It would be of great interest to ascertain whether metabolites detected in Sanren F1 at higher levels have the potential to function as chemical markers for distinguishing shallot cultivars that are capable of producing multiple bulbs.

Enhancing Safety and Workover Efficiency Through Real-Time Scale-Adaptive Video Detection of Critical Objects at the Wellsite

Summary The wellsite serves as the fundamental unit in the development of oil and gas fields, functioning as a hub for the production activities, with workover operations being a critical means to ensure production continuity. In addition, it plays a crucial role in environmental protection, preventing oil and gas leakage and pollution. Various pieces of mechanical equipment deployed at the wellsite are essential for tasks such as oil and gas extraction and well repair operations, holding a pivotal position in oil- and gasfield development. Consequently, intelligent wellsite implementation necessitates a primary focus on monitoring mechanical equipment, with video emerging as a vital form of multisource information at the wellsite. While existing research on wellsite video monitoring predominantly addresses system and data transmission issues, it falls short in addressing the challenges of real-time assessment and early warning in intelligent wellsite operations. This study introduces a method for identifying critical targets at the wellsite based on a scale-adaptive network. The model employs a multiscale fusion network to extract different image features and semantic features at various scales, facilitating their fusion. The processing of wellsite video images occurs in multiple stages, outputting predicted box locations and category information, enabling the localization and recognition of critical objects at the wellsite. Unlike traditional deep convolutional object detection methods, this model incorporates a parameter-free attention mechanism, enhancing the accurate feature learning of small targets during the extraction process and addressing the issue of multiscale imbalance. The experimental results validate the robust performance of the method, surpassing the latest one-stage object detection models and mainstream loss function methods. Comparative experiments demonstrate a 9.22% improvement in mean average precision (mAP) compared with YOLOv8, establishing the proposed model as a top performer in loss function optimization experiments. Furthermore, we propose a video security detection model whose results, combined with the recognition model, are applicable for video detection in wellsite scenarios. The model exhibits strong integration capabilities for scene area division and behavior regulation monitoring. In addition, the model provides valuable insights for analyzing equipment operating status, aligning with the practical needs of oil fields.

Queuosine biosynthetic enzyme, QueE moonlights as a cell division regulator.

In many organisms, stress responses to adverse environments can trigger secondary functions of certain proteins by altering protein levels, localization, activity, or interaction partners. Escherichia coli cells respond to the presence of specific cationic antimicrobial peptides by strongly activating the PhoQ/PhoP two-component signaling system, which regulates genes important for growth under this stress. As part of this pathway, a biosynthetic enzyme called QueE, which catalyzes a step in the formation of queuosine (Q) tRNA modification is upregulated. When cellular QueE levels are high, it co-localizes with the central cell division protein FtsZ at the septal site, blocking division and resulting in filamentous growth. Here we show that QueE affects cell size in a dose-dependent manner. Using alanine scanning mutagenesis of amino acids in the catalytic active site, we pinpoint residues in QueE that contribute distinctly to each of its functions-Q biosynthesis or regulation of cell division, establishing QueE as a moonlighting protein. We further show that QueE orthologs from enterobacteria like Salmonella typhimurium and Klebsiella pneumoniae also cause filamentation in these organisms, but the more distant counterparts from Pseudomonas aeruginosa and Bacillus subtilis lack this ability. By comparative analysis of E. coli QueE with distant orthologs, we elucidate a unique region in this protein that is responsible for QueE's secondary function as a cell division regulator. A dual-function protein like QueE is an exception to the conventional model of "one gene, one enzyme, one function", which has divergent roles across a range of fundamental cellular processes including RNA modification and translation to cell division and stress response.