World journal of microbiology & biotechnology最新文献

Revealing the differences of metabolite profiles of H. pluvialis during hyperaccumulation of astaxanthin under the high salinity and nitrogen deficiency conditions was the key issues of the present study. To investigate the optimum NaCl and NaNO₃ concentration and the corresponding metabolic characteristic related to the astaxanthin accumulation in H. pluvialis, a batch culture experiment was conducted. The results indicated that 7.5 g·L^- 1 and 0 g·L^- 1 (nitrogen deficiency) were the optimum NaCl and NaNO₃ levels for the astaxanthin accumulation respectively, under which the highest astaxanthin contents reached up to 7.51mg·L^- 1 and 5.60mg·L^- 1. A total of 132 metabolites were identified using LC-MS/MS technique, among which 30 differential metabolites with statistical significance were highlighted. Subsequently, 18 and 10 differential metabolic pathways in the high salinity (HS) and nitrogen-deficient (ND) treatments were extracted and annotated respectively. The values of Fv/Fm, Yield and NPQ were all at the highest level in the ND group during the experiment. The levels of the metabolites in the ND group were almost lower than those both in the control (CK) and HS group, while which in the HS group were substantially at the higher or close levels compared to the CK group. Finally, 7 metabolic markers related to the astaxanthin accumulation were highlighted in the HS and ND group respectively. L-Proline, L-Aspartate, Uridine 5'-monophosphate (UMP), Succinate, L-2-Hydroxygluterate, L-Valine and Inosine 5'-monophosphate (IMP) were identified as the metabolic markers in the HS group, whose fold change were 0.85, 4.14, 0.31, 0.66, 3.10, 1.32 and 0.30. Otherwise, the metabolic markers were Glyceric acid, Thymine, sn-Glycerol 3-phosphate, Glycine, Allantoic acid, L-Valine and IMP in the ND group, with the fold change 0.23, 2.11, 0.38, 0.41, 0.50 and 2.96 respectively. The results provided the comparative metabolomic view of astaxanthin accumulation in H. pluvialis under the different cultivation conditions, moreover showed a novel insights into the astaxanthin production.

Plants and microorganisms coexist within complex ecosystems, significantly influencing agricultural productivity. Depending on the interaction between the plant and microbes, this interaction can either help or harm plant health. Microbes interact with plants by secreting proteins that influence plant cells, producing bioactive compounds like antibiotics or toxins, and releasing molecules such as N-acyl homoserine lactones to coordinate their behaviour. They also produce phytohormones which help regulate growth and stress responses in plants. Plants also interact with the associated microorganisms by exuding substances such as carbon and nitrogen sources, quorum-sensing molecules, peptide signals, secondary metabolites such as flavonoids and strigolactones. A successful exchange of chemical signals is essential for maintaining these associations, with significant implications for plant growth and development. This review explores the intricate array of signaling molecules and complex mechanisms governing plant-microbe interactions, elucidating the pivotal role of chemo-communication pathways. By examining these molecular dialogues, the review aims to deepen our understanding of chemo-signaling molecules, paving the way for future applications of these networks in promoting agricultural sustainability.

Organic acids constitute a vital category of chemical raw materials. They have extensive applications in industries such as polymers, food, and pharmaceuticals. Currently, industrial production predominantly relies on microbial fermentation. Aspergillus, due to its unique metabolic capabilities, has become an important microbial resource for organic acid production. In recent years, there has been a growing emphasis on genetic engineering of Aspergillus to increase its yield of organic acids. This review provides a comprehensive overview of the current advancement and future directions in the application of genetic engineering techniques to enhance organic production in Aspergillus, specifically highlighting achievement in reconstructing metabolic pathways for desired products, eliminating by-products, modifying regulatory pathways, and engineering mycelial morphology. Furthermore, this review also focuses on the strategies and genetic tools applied in Aspergillus, with particular emphasis on the potential applications and challenges of CRISPR-based biosensors in organic acid fermentation. By providing insights into these developments, we aim to offer theoretical guidance and innovative approaches for enhancing the efficiency of Aspergillus strains in industrial organic acid production.

Thermomonas hydrothermalis, a thermophilic bacterium isolated from hot springs, exhibits unique genomic features that underpin its adaptability to extreme environments and its potential in industrial biotechnology. In this study, we present a comparative genomic analysis of two strains, DSM 14834 and HOT.CON.106, revealing distinct metabolic pathways and stress response mechanisms. The genome annotation highlighted strain-specific variations, such as enhanced motility and chemotaxis capabilities in HOT.CON.106 and a stronger genomic stability emphasis in DSM 14834. Comparative analysis with other Thermomonas species demonstrated that T. hydrothermalis possesses a unique genomic architecture, including genes for thermostable enzymes (e.g., amylases and pullulanases) and secondary metabolite biosynthesis. These enzymes and metabolites have significant industrial potential in high-temperature processes such as bioenergy production, bioplastics synthesis, and bioremediation. The findings underscore the relative differentiation between the strains and their broader implications for sustainable biotechnology, offering a basis for further exploration of thermophilic microorganisms in industrial applications.

This study demonstrated a novel approach to accurately estimate 5-day biochemical oxygen demand (BOD₅) in textile wastewater using a microbial consortium from food processing wastewater fixed on coconut fibers. Although glucose-glutamic acid (GGA) has been widely known as the most preferred substrates for microbial respiration, its calibration surprisingly resulted in an overestimation of BOD₅ in textile wastewater due to its lower utilization rate compared to that of textile wastewater. After being adapted with a new nutrient environment composed of GGA and textile wastewater, the adapted packed-bed bioreactors (PBBRs) was capable of accurate estimation of BOD₅ in textile wastewater using GGA standard solution. Metagenomic analysis revealed the dominance of the genera Enterobacter, Acinetobacter, Chryseobacterium, and Comamonas in the adapted microbial community, which are recognized for their significant potential in azo dye degradation. The imputed metagenome showed an enhanced showed an enhanced abundance of "Amino Acid Degradation" and "Carbohydrate Degradation" functions, confirming the improved ability of adapted community to utilization of GGA in the standard solution. These findings suggest that adaptation of exogenous microbial consortium to a nutrient environment composed of GGA and target wastewater may shift the community to that dominated by strains having both utilization ability of GGA and target compounds which, in turn, enhance the accuracy of the adapted PBBRs for estimation of BOD₅ in target wastewater.

Bacteria coordinate gene expression in a cell density-dependent manner in a communication process called quorum sensing (QS). The expression of virulence factors, biofilm formation and enzyme production are QS-regulated phenotypes that can interfere in human health. Due to this importance, there is great interest in inhibiting QS, comprising an anti-virulence strategy. This work aimed to evaluate the effect of selected phenolic compounds on the inhibition of QS-regulated phenotypes in Pseudomonas aeruginosa PAO1, using concentrations that do not interfere in bacterial growth. This is one of the main premises for studying the effect of compounds on QS. Firstly, an in-silico study with the LasR and RhlR proteins of P. aeruginosa by molecular docking of 82 phenolic compounds was performed. Then, a screening with 13 selected phenolic compounds was performed, using biosensor strains P. aeruginosa lasB-gfp and P. aeruginosa rhlA-gfp, which emit fluorescence when the QS system is activated. From this assay, eight compounds were selected and evaluated for inhibition of pyocyanin, rhamnolipids, proteases, elastase, and motility. The compounds variably inhibited the evaluated virulence factors. The greatest inhibitions were observed for swarming motility, achieving inhibition rates of up to 50% for baicalein (500 µM) and curcumin (50 µM). Notably, curcumin showed satisfactory inhibition for all phenotypes even at lower concentrations (12.5 to 50 µM) compared to the other compounds (125 to 500 µM). Four compounds - rosmarinic acid, baicalein, curcumin, and resveratrol - were finally tested against biofilm formation observed by optical microscopy. This study demonstrated that phenolic compounds exhibit strong in silico binding to P. aeruginosa LasR and RhlR proteins and variably inhibit QS-regulated phenotypes in vitro. Although no biofilm inhibition was observed, future studies combining compounds and exploring molecular mechanisms are recommended. These findings highlight the biotechnological potential of phenolic compounds for future applications in the food, clinical, and pharmaceutical fields.

Utilizing metal/nanoparticle (NP)- tolerant plant growth-promoting rhizobacteria (PGPR) is a sustainable and eco-friendly approach for remediation of NP-induced phytotoxicity. Here, Pisum sativum (L.) plants co-cultivated with different CuO-NP concentrations exhibited reduced growth, leaf pigments, yield attributes, and increased oxidative stress levels. Cu-tolerant (800 µM) Klebsiella variicola strain SRB-4 (Accession no. OR715781.1) recovered from metal-contaminated soils produced various PGP traits, including IAA, EPS, siderophore, HCN, ammonia, and solubilized insoluble P. The PGP substances were marginally increased with increasing CuO-NP concentrations. When applied, Cu-tolerant SRB-4 strain increased root length (18%), root biomass (15.3%), total chlorophyll (29%), carotenoids (30%), root N (21%), root P (23%), total soluble protein (20%) nodule number (32%), nodule biomass (39%) and leghaemoglobin content (18%) in 50 µM CuO-NP-exposed peas. Furthermore, proline, malondialdehyde (MDA), superoxide radical, hydrogen peroxide (H₂O₂) content, and membrane injury in K. variicola-inoculated and 50 µM CuO-NP-treated plants were maximally and significantly (p ≤ 0.05) reduced by 70.6, 26.8, 60.8, and 71.6%, respectively, over uninoculated but treated with similar NP doses. Moreover, K. variicola inoculation caused a significant (p ≤ 0.05) decline in Cu uptake in roots (71%), shoots (65.5%), and grains (76.4%) of peas grown in soil contaminated with 50 µM CuO-NP. The multivariate i.e. heat map and pearson correlation analyses between the NP-treated and PGPR inoculated parameters revealed a significant and strong positive corelation. The NP-tolerant indigenous beneficial K. variicola could be applied as an alternative to enhance the production of P. sativum cultivated in nano-polluted soil systems. Additionally, more investigation is required to ascertain the seed/soil inoculation effect of K. variicola SRB-4 on soil biological activities and different crops under various experimental setups.

The endophytic fungus Serendipita indica (Si) could suppress Phoma arachidicola (Pa) and control peanut web blotch disease. The study evaluated its growth-promoting and disease-resistant effects in two peanut cultivars, Luhua11 and Baisha1016. In vitro experiments and microscopy analysis demonstrated that S. indica suppressed the growth of P. arachidicola. Additionally, scanning electron microscopy illustrated that S. indica adversely affected the pathogen's hyphae. LSi treatment showed the highest stem height (35 cm), root length (15.533 cm), shoot fresh weight (9.33 g), shoot dry weight (1.30085 g), root dry weight (0.1990 g), and chlorophyll a (1.3253) and b (1.8316), while BPa had the lowest values of these parameters. The highest MDA value was observed at 96 h for BPa with (3.14598 nmol/g), and the highest proline value was observed at 72 h for LSi-Pa with (56.42851 µmol/g). Antioxidant enzymes, catalase, peroxidase, ascorbate peroxidase, and phenylalanine ammonia-lyase, increased significantly after 48 h in cultivar L. The most significant result is observed in salicylic acid with LSi-Pa at 72 h (702.10 µg/mL), showing a consistent significant difference. RNA-seq analysis revealed more pronounced transcriptomic changes in cultivar L, with enriched pathways related to flavonoid biosynthesis and defense responses. The LSi-Pa treatment significantly upregulated gene expression at 96 h, with AhNPR1 (0.05807), AhNPR10 (0.10536), AhPAL1 (4.30831), and Ahcapx (0.22074), demonstrating a strong regulatory effect. These results demonstrate that S. indica enhances peanut plant growth and resilience against P. arachidicola, mainly through modulation of oxidative stress and immune responses.

In recent years, it has become widely acknowledged that heavy metals are often present in oil-contaminated sites. This study utilized three specific types of microorganisms with different functions to construct a composite bacterial consortium for treating lubricant-Cr(VI) composite pollutants. The selected strains were Lysinbacillus fusiformis and Bacillus tropicus. The Back Propagation Neural Network-genetic algorithm was employed to optimize the secondary bacterial addition time to 67 h and the strain ratio to 2:1. The optimized process involved the use of 4.6 g/L glucose and ammonium oxalate as electron donors. After 6 days of treatment with the composite consortium, the removal rates of 1500 mg/L lubricating oil and 50 mg/L chromium reached 90.3% and 84.2%, respectively. Initial analysis using three-dimensional fluorescence to examine the changes in extracellular polymers in the bacteria when exposed to chromium-lubricating oil, showed that 30 mg/L Cr(VI) could induce the secretion of extracellular protein-like substances. These substances may be directly or indirectly involved in the biological detoxification mechanism of chromium. The synergistic removal of complex pollutants has the potential to transform previous "unilateral" removal studies and enhance bioremediation efficiency.