THE TOXIC DINOFLAGELLATE GYMNODINIUM CATENATUM (DINOPHYCEAE) REQUIRES MARINE BACTERIA FOR GROWTH1

Interactions with the bacterial community are increasingly considered to have a significant influence on marine phytoplankton populations. Here we used a simplified dinoflagellate‐bacterium experimental culture model to conclusively demonstrate that the toxic dinoflagellate Gymnodinium catenatum H. W. Graham requires growth‐stimulatory marine bacteria for postgermination survival and growth, from the point of resting cyst germination through to vegetative growth at bloom concentrations (10³ cells · mL^?1). Cysts of G. catenatum were germinated and grown in unibacterial coculture with antibiotic‐resistant or antibiotic‐sensitive Marinobacter sp. DG879 or Brachybacterium sp., and with mixtures of these two bacteria. Addition of antibiotics to cultures grown with antibiotic‐sensitive strains of bacteria resulted in death of the dinoflagellate culture, whereas cultures grown with antibiotic‐resistant bacteria survived antibiotic addition and continued to grow beyond the 21 d experiment. Removal of either bacterial type from mixed‐bacterial dinoflagellate cultures (using an antibiotic) resulted in cessation of dinoflagellate growth until bacterial concentration recovered to preaddition concentrations, suggesting that the bacterial growth factors are used for dinoflagellate growth or are labile. Examination of published reports of axenic dinoflagellate culture indicate that a requirement for bacteria is not universal among dinoflagellates, but rather that species may vary in their relative reliance on, and relationship with, the bacterial community. The experimental model approach described here solves a number of inherent and logical problems plaguing studies of algal‐bacterium interactions and provides a flexible and tractable tool that can be extended to examine bacterial interactions with other phytoplankton species.     

A Simple Bile-Disk Method for the Identification of Bacteroides fragilis

A simple method for the separation and identification of Bacteroides fragilis from other Bacteroides species through the use of oxgall-impregnated filter paper disks is described. As in the antibiotic sensitivity test, filter paper disks containing defined amounts of bile salt were placed on a lawn of bacterial cells on Gifu anaerobic medium agar plates. Bile-resistant bacteria were identified as strains of Bacteroides fragilis after incubation in anaerobic jars containing hydrogen and carbon dioxide generators at 35 C for 24 hr. The optimum concentration of bile salt, yielding results very similar to those of the conventional tube method, was determined to be 25 mg per disk, empirically. Since this method is easy to perform, time saving, economical and gives clear results, it may be readily used as a daily routine test in the clinical microbiology laboratory.     

Synergy effects of the antibiotics gentamicin and the essential oil of Croton zehntneri

The leaves of Croton zehntneri Pax et Hoffm (Euphorbiaceae) were subjected to hydrodistillation, and the essential oil extracted was examined with respect to antibacterial and antibiotic modifying activity by gaseous contact. The gaseous component of the oil inhibited the bacterial growth of Staphylococcus aureus and Pseudomonas aeruginosa with a MID of 0.5 and<1 mg/l air, respectively. The activity of the antibiotic gentamicin was increased by 42,8% against P. aeruginosa after contact with the gaseous component, showing that this oil influences the activity of the antibiotic and may be used as an adjuvant in the antibiotic therapy of respiratory tract bacterial pathogens.     

Aquatic animals promote antibiotic resistance gene dissemination in water via conjugation: Role of different regions within the zebra fish intestinal tract,and impact on fish intestinal microbiota

The aqueous environment is one of many reservoirs of antibiotic resistance genes (ARGs). Fish, as important aquatic animals which possess ideal intestinal niches for bacteria to grow and multiply, may ingest antibiotic resistance bacteria from aqueous environment. The fish gut would be a suitable environment for conjugal gene transfer including those encoding antibiotic resistance. However, little is known in relation to the impact of ingested ARGs or antibiotic resistance bacteria (ARB) on gut microbiota. Here, we applied the cultivation method, qPCR, nuclear molecular genetic marker and 16S rDNA amplicon sequencing technologies to develop a plasmid‐mediated ARG transfer model of zebrafish. Furthermore, we aimed to investigate the dissemination of ARGs in microbial communities of zebrafish guts after donors carrying self‐transferring plasmids that encode ARGs were introduced in aquaria. On average, 15% of faecal bacteria obtained ARGs through RP4‐mediated conjugal transfer. The hindgut was the most important intestinal region supporting ARG dissemination, with concentrations of donor and transconjugant cells almost 25 times higher than those of other intestinal segments. Furthermore, in the hindgut where conjugal transfer occurred most actively, there was remarkable upregulation of the mRNA expression of the RP4 plasmid regulatory genes, trbBp and trfAp. Exogenous bacteria seem to alter bacterial communities by increasing Escherichia and Bacteroides species, while decreasing Aeromonas compared with control groups. We identified the composition of transconjugants and abundance of both cultivable and uncultivable bacteria (the latter accounted for 90.4%–97.2% of total transconjugants). Our study suggests that aquatic animal guts contribute to the spread of ARGs in water environments.     

ANTIBIOTIC RESISTANCE AND STRESS IN THE LIGHT OF FISHER'S MODEL

The role of mutations in evolution depends upon the distribution of their effects on fitness. This distribution is likely to depend on the environment. Indeed genotype‐by‐environment interactions are key for the process of local adaptation and ecological specialization. An important trait in bacterial evolution is antibiotic resistance, which presents a clear case of change in the direction of selection between environments with and without antibiotics. Here, we study the distribution of fitness effects of mutations, conferring antibiotic resistance to Escherichia coli, in benign and stressful environments without drugs. We interpret the distributions in the light of a fitness landscape model that assumes a single fitness peak. We find that mutation effects (s) are well described by a shifted gamma distribution, with a shift parameter that reflects the distance to the fitness peak and varies across environments. Consistent with the theoretical predictions of Fisher's geometrical model, with a Gaussian relationship between phenotype and fitness, we find that the main effect of stress is to increase the variance in s. Our findings are in agreement with the results of a recent meta‐analysis, which suggest that a simple fitness landscape model may capture the variation of mutation effects across species and environments.     

Modeling bacterial contamination of fuel ethanol fermentation

The emergence of antibiotic‐resistant bacteria may limit the effectiveness of antibiotics to treat bacterial contamination in fuel ethanol plants, and therefore, new antibacterial intervention methods and tools to test their application are needed. Using shake‐flask cultures of Saccharomyces cerevisiae grown on saccharified corn mash and strains of lactic acid bacteria isolated from a dry‐grind ethanol facility, a simple model to simulate bacterial contamination and infection was developed. Challenging the model with 10⁸ CFU/mL Lactobacillus fermentum decreased ethanol yield by 27% and increased residual glucose from 6.2 to 45.5 g/L. The magnitude of the effect was proportional to the initial bacterial load, with 10⁵ CFU/mL L. fermentum still producing an 8% decrease in ethanol and a 3.2‐fold increase in residual glucose. Infection was also dependent on the bacterial species used to challenge the fermentation, as neither L. delbrueckii ATCC 4797 nor L. amylovorus 0315‐7B produced a significant decrease in ethanol when inoculated at a density of 10⁸ CFU/mL. In the shake‐flask model, treatment with 2 µg/mL virginiamycin mitigated the infection when challenged with a susceptible strain of L. fermentum (MIC for virginiamycin ≤2 ppm), but treatment was ineffective at treating infection by a resistant strain of L. fermentum (MIC = 16 ppm). The model may find application in developing new antibacterial agents and management practices for use in controlling contamination in the fuel ethanol industry. Biotechnol. Bioeng. 2009;103: 117–122. Published 2008 Wiley Periodicals, Inc.     

Effect of a Cloned DNA Fragment from Streptomyces chrysomallusNo. 2 on the Metabolism of Certain Streptomyces Strains

The effects on a cloned DNA fragment carrying an actinomycin resistance determinant on physiological processes in strains of streptomycetes with various potencies in producing this antibiotic, their inactive mutants, and the model strain ofStreptomyces lividans66 were studied. This fragment was shown to modulate bacterial resistance to actinomycin and biosynthesis of antibiotics.     

Chemogenomics and orthology‐based design of antibiotic combination therapies

Combination antibiotic therapies are being increasingly used in the clinic to enhance potency and counter drug resistance. However, the large search space of candidate drugs and dosage regimes makes the identification of effective combinations highly challenging. Here, we present a computational approach called INDIGO, which uses chemogenomics data to predict antibiotic combinations that interact synergistically or antagonistically in inhibiting bacterial growth. INDIGO quantifies the influence of individual chemical–genetic interactions on synergy and antagonism and significantly outperforms existing approaches based on experimental evaluation of novel predictions in Escherichia coli. Our analysis revealed a core set of genes and pathways (e.g. central metabolism) that are predictive of antibiotic interactions. By identifying the interactions that are associated with orthologous genes, we successfully estimated drug‐interaction outcomes in the bacterial pathogens Mycobacterium tuberculosis and Staphylococcus aureus, using the E. coli INDIGO model. INDIGO thus enables the discovery of effective combination therapies in less‐studied pathogens by leveraging chemogenomics data in model organisms.     

Phage-resistant mutations impact bacteria susceptibility to future phage infections and antibiotic response

Bacteriophage (phage) therapy in combination with antibiotic treatment serves as a potential strategy to overcome the continued rise in antibiotic resistance across bacterial pathogens. Understanding the impacts of evolutionary and ecological processes to the phage-antibiotic-resistance dynamic could advance the development of such combinatorial therapy. We tested whether the acquisition of mutations conferring phage resistance may have antagonistically pleiotropic consequences for antibiotic resistance. First, to determine the robustness of phage resistance across different phage strains, we infected resistant Escherichia coli cultures with phage that were not previously encountered. We found that phage-resistant E. coli mutants that gained resistance to a single phage strain maintain resistance to other phages with overlapping adsorption methods. Mutations underlying the phage-resistant phenotype affects lipopolysaccharide (LPS) structure and/or synthesis. Because LPS is implicated in both phage infection and antibiotic response, we then determined whether phage-resistant trade-offs exist when challenged with different classes of antibiotics. We found that only 1 out of the 4 phage-resistant E. coli mutants yielded trade-offs between phage and antibiotic resistance. Surprisingly, when challenged with novobiocin, we uncovered evidence of synergistic pleiotropy for some mutants allowing for greater antibiotic resistance, even though antibiotic resistance was never selected for. Our results highlight the importance of understanding the role of selective pressures and pleiotropic interactions in the bacterial response to phage-antibiotic combinatorial therapy.     

Dynamic metagenome-scale metabolic modeling of a yogurt bacterial community

Genome-scale metabolic models and flux balance analysis (FBA) have been extensively used for modeling and designing bacterial fermentation. However, FBA-based metabolic models that accurately simulate the dynamics of coculture are still rare, especially for lactic acid bacteria used in yogurt fermentation. To investigate metabolic interactions in yogurt starter culture of Streptococcus thermophilus and Lactobacillus delbrueckii subsp. bulgaricus, this study built a dynamic metagenome-scale metabolic model which integrated constrained proteome allocation. The accuracy of the model was evaluated by comparing predicted bacterial growth, consumption of lactose and production of lactic acid with reference experimental data. The model was then used to predict the impact of different initial bacterial inoculation ratios on acidification. The dynamic simulation demonstrated the mutual dependence of S. thermophilus and L. d. bulgaricus during the yogurt fermentation process. As the first dynamic metabolic model of the yogurt bacterial community, it provided a foundation for the computer-aided process design and control of the production of fermented dairy products.     

蝇蛆肠道微生物菌群对猪粪残留抗生素的降解及抗性基因的影响

【目的】过度使用抗生素作为动物饲料添加剂,导致畜禽粪便已成为抗生素抗性基因的主要蓄积库,为了研究蝇蛆(Musca domestica)对猪粪中残留抗生素及抗性基因的影响,本文动态采集了实际农场条件下蝇蛆转化过程中猪粪堆体及虫体样本。【方法】利用q PCR、液相色谱-电喷雾质谱、同位素内标法、Illumina高通量测序以及局部相似性研究蝇蛆生物转化过程中残留抗生素降解效能及相关抗性基因组变化的微生物生态机制。【结果】6 d周期内,猪粪中四环素、土霉素、金霉素、强力霉素、磺胺嘧啶、诺氟沙星、氧氟沙星、环丙沙星以及恩诺沙星等9种残留抗生素含量显著下降,累积减量为34.3%–58.1%,每日减量百分比介于7.8%–57.4%之间。猪粪中共检测到的158种抗性基因,其中有118种大幅衰减,衰减量平均达79.3%;23种抗性基因存在富集现象,富集倍数平均为3.48。在蝇蛆肠道的作用下,粪源微生物群落中Bacteroidetes相对丰度下降,Proteobacteria相对丰度增加,尤其是Ignatzschineria增幅最大。网络分析发现,抗性基因的增减与微生物群落的变化显著相关,与抗性基因衰减相关的微生物主要属于Clostridiales和Bacteroidales,而与抗性基因富集相关的微生物主要为Alcaligenaceae、[Weeksellaceae]及Bacillales。【结论】蝇蛆可有效削减猪粪中的残留抗生素及防控抗性基因向环境扩散。     

Geographically widespread honeybee‐gut symbiont subgroups show locally distinct antibiotic‐resistant patterns

How long‐term antibiotic treatment affects host bacterial associations is still largely unknown. The honeybee‐gut microbiota has a simple composition, so we used this gut community to investigate how long‐term antibiotic treatment affects host‐associated microbiota. We investigated the phylogenetic relatedness, genomic content (GC percentage, genome size, number of genes and CRISPR) and antibiotic‐resistant genes (ARG) for strains from two abundant members of the honeybee core gut microbiota (Gilliamella apicola and Snodgrassella alvi). Domesticated honeybees are subjected to geographically different management policies, so we used two research apiaries, representing different antibiotic treatment regimens in their apiculture: low antibiotic usage (Norway) and high antibiotic usage (Arizona, USA). We applied whole‐genome shotgun sequencing on 48 G. apicola and 22 S. alvi. We identified three predominating subgroups of G. apicola in honeybees from both Norway and Arizona. For G. apicola, genetic content substantially varied between subgroups and distance similarity calculations showed similarity discrepancy between subgroups. Functional differences between subgroups, such as pectin‐degrading enzymes (G. apicola), were also identified. In addition, we identified horizontal gene transfer (HGT) of transposon (Tn10)‐associated tetracycline resistance (Tet B) across the G. apicola subgroups in the Arizonan honeybees, using interspace polymorphisms in the Tet B determinant. Our results support that honeybee‐gut symbiont subgroups can resist long‐term antibiotic treatment and maintain functionality through acquisition of geographically distinct antibiotic‐resistant genes by HGT.     

Dissemination of the strA-strB streptomycin-resistance genes among commensal and pathogenic bacteria from humans, animals, and plants

Gene transfer within bacterial communities has been recognized as a major contributor in the recent evolution of antibiotic resistance on a global scale. The linked strA-strB genes, which encode streptomycin-inactivating enzymes, are distributed worldwide and confer streptomycin resistance in at least 17 genera of gram-negative bacteria. Nucleotide sequence analyses suggest that strA-strB have been recently disseminated. In bacterial isolates from humans and animals, strA-strB are often linked with the sulII sulfonamide-resistance gene and are encoded on broad-host-range nonconjugative plasmids. In bacterial isolates from plants, strA-strB are encoded on the Tn3-type transposon Tn5393 which is generally borne on conjugative plasmids. The wide distribution of the strA-strB genes in the environment suggests that gene transfer events between human, animal, and plant-associated bacteria have occurred. Although the usage of streptomycin in clinical medicine and animal husbandry has diminished, the persistence of strA-strB in bacterial populations implies that factors other than direct antibiotic selection are involved in maintenance of these genes.     

A general system for generating unlabelled gene replacements in bacterial chromosomes

 A general system is described that facilitates gene replacements such that the recombinant strains are not labelled with antibiotic resistance genes. The method is based on the conditional replication of derivatives of the lactococcal plasmid pWV01, which lacks the repA gene encoding the replication initiation protein. Replacement vectors can be constructed in and isolated from gram-positive and gram-negative helper strains that provide RepA in trans. Cointegrate formation of the integration vectors with the chromosome of the target strain is selected by antibiotic resistance. Resolution of the cointegrate structure is identified in the second step of the procedure by the loss of the lacZ reporter gene present in the delivery vector. The second recombination event results either in gene replacement or in restoration of the original copy of the gene. As no antibiotic resistance marker is present in the genome of the mutant the system can be used to introduce multiple mutations in one strain. A feasibility study was performed using Lactococcus lactis and Bacillus subtilis as model organisms. The results indicate that the method should be applicable to any non-essential gene in numerous bacterial species. Received: 2 April 1996 / Accepted: 15 July 1996     

Wolbachia endosymbiont is essential for egg hatching in a parthenogenetic arthropod

Wolbachia pipientis can induce a range of sex ratio distortions including parthenogenesis. Recently Wolbachia has been detected in the diploid, parthenogenetic, collembolan species Folsomia candida. In this paper we address the effect of Wolbachia on reproduction in F. candida. Wolbachia infection was removed by antibiotic and heat treatment, and quantitative PCR techniques confirmed the success of the treatments. Complete loss of Wolbachia-infection led to the production of normal clutch sizes, but was associated with full egg hatching failure. Our results demonstrate that F. candida is strictly dependent on Wolbachia to produce viable offspring. This is one of the few cases of obligatory Wolbachia infection in arthropods. Our data suggest a unique mechanism underlying Wolbachia-dependence of egg development. One of our more salient results is that hatching success increased in consecutive egg clutches of antibiotic-treated individuals, probably due to restoration of bacterial densities over time. These observations suggest that reproduction in F. candida is a threshold effect requiring a critical Wolbachia density as is hypothesized by the bacterial dosage model. Quantitative PCR analysis showed that heat or antibiotic treated individuals with egg hatching failure had low average bacterial densities, but bacterial densities were not significantly different from those of treated individuals with successfully eclosing eggs. Additional experiments with partially cured F. candida are needed to prove the dosage model.     

Bacterial cheating drives the population dynamics of cooperative antibiotic resistance plasmids

Inactivation of β ‐lactam antibiotics by resistant bacteria is a ‘cooperative’ behavior that may allow sensitive bacteria to survive antibiotic treatment. However, the factors that determine the fraction of resistant cells in the bacterial population remain unclear, indicating a fundamental gap in our understanding of how antibiotic resistance evolves. Here, we experimentally track the spread of a plasmid that encodes a β ‐lactamase enzyme through the bacterial population. We find that independent of the initial fraction of resistant cells, the population settles to an equilibrium fraction proportional to the antibiotic concentration divided by the cell density. A simple model explains this behavior, successfully predicting a data collapse over two orders of magnitude in antibiotic concentration. This model also successfully predicts that adding a commonly used β ‐lactamase inhibitor will lead to the spread of resistance, highlighting the need to incorporate social dynamics into the study of antibiotic resistance.     

培养法检测海滨浴场细菌多样性及耐药性研究

【目的】耐药基因细菌水平基因转移导致的耐药菌数量增加引发的公共安全问题日益引起人们关注,监测环境中耐药菌变得极为重要。【方法】采集湛江3处滨海浴场的水体、沙滩土样,通过平板稀释涂布和琼脂扩散法进行浴场微生物数量、多样性和抗生素耐药性分析。【结果】3处浴场水体无机氮含量偏高,浴场微生物数量随着客流量逐渐增加,沙滩中微生物数量显著高于水体。浴场细菌分布于3门12科18属,水体中变形菌门（Proteobacteria,49.64%）占优势,沙滩则是厚壁菌门（Firmicutes,54.74%）占优势。浴场细菌对β-内酰胺类耐药率较高,青霉素、万古霉素和头孢曲松耐药率分别达到23.25%、20.53%和17.42%,耐药菌株主要分布于芽孢杆菌属（Bacillus）、弧菌属（Vibrio）、假单胞菌属（Pseudomonas）、链霉菌属（Streptomyces）和肠杆菌属（Enterobacter）,水体中多重耐药细菌数量显著高于沙滩,集中于人流量多的浴场。【结论】滨海浴场环境中细菌耐药菌种类多,需持续监测以评估对当前地区公共卫生的潜在影响。     

The global regulator Crc modulates metabolism,susceptibility to antibiotics and virulence in Pseudomonas aeruginosa

The capacity of a bacterial pathogen to produce a disease in a treated host depends on the former's virulence and resistance to antibiotics. Several scattered pieces of evidence suggest that these two characteristics can be influenced by bacterial metabolism. This potential relationship is particularly important upon infection of a host, a situation that demands bacteria adapt their physiology to their new environment, making use of newly available nutrients. To explore the potential cross‐talk between bacterial metabolism, antibiotic resistance and virulence, a Pseudomonas aeruginosa model was used. This species is an important opportunistic pathogen intrinsically resistant to many antibiotics. The role of Crc, a global regulator that controls the metabolism of carbon sources and catabolite repression in Pseudomonas, was analysed to determine its contribution to the intrinsic antibiotic resistance and virulence of P. aeruginosa. Using proteomic analyses, high‐throughput metabolic tests and functional assays, the present work shows the virulence and antibiotic resistance of this pathogen to be linked to its physiology, and to be under the control (directly or indirectly) of Crc. A P. aeruginosa strain lacking the Crc regulator showed defects in type III secretion, motility, expression of quorum sensing‐regulated virulence factors, and was less virulent in a Dictyostelium discoideum model. In addition, this mutant strain was more susceptible to beta‐lactams, aminoglycosides, fosfomycin and rifampin. Crc might therefore be a good target in the search for new antibiotics.     

Origin of diderm (Gram-negative) bacteria: antibiotic selection pressure rather than endosymbiosis likely led to the evolution of bacterial cells with two membranes

The prokaryotic organisms can be divided into two main groups depending upon whether their cell envelopes contain one membrane (monoderms) or two membranes (diderms). It is important to understand how these and other variations that are observed in the cell envelopes of prokaryotic organisms have originated. In 2009, James Lake proposed that cells with two membranes (primarily Gram-negative bacteria) originated from an ancient endosymbiotic event involving an Actinobacteria and a Clostridia (Lake 2009). However, this Perspective argues that this proposal is based on a number of incorrect assumptions and the data presented in support of this model are also of questionable nature. Thus, there is no reliable evidence to support the endosymbiotic origin of double membrane bacteria. In contrast, many observations suggest that antibiotic selection pressure was an important selective force in prokaryotic evolution and that it likely played a central role in the evolution of diderm (Gram-negative) bacteria. Some bacterial phyla, such as Deinococcus-Thermus, which lack lipopolysaccharide (LPS) and yet contain some characteristics of the diderm bacteria, are postulated as evolutionary intermediates (simple diderms) in the transition between the monoderm bacterial taxa and the bacterial groups that have the archetypal LPS-containing outer cell membrane found in Gram-negative bacteria. It is possible to distinguish the two stages in the evolution of diderm-LPS cells (viz. monoderm bacteria → simple diderms lacking LPS → LPS containing archetypal diderm bacteria) by means of conserved inserts in the Hsp70 and Hsp60 proteins. The insert in the Hsp60 protein also distinguishes the traditional Gram-negative diderm bacterial phyla from atypical taxa of diderm bacteria (viz. Negativicutes, Fusobacteria, Synergistetes and Elusimicrobia). The Gram-negative bacterial phyla with an LPS-diderm cell envelope, as defined by the presence of the Hsp60 insert, are indicated to form a monophyletic clade and no loss of the outer membrane from any species from this group seems to have occurred. This argues against the origin of monoderm prokaryotes from diderm bacteria by loss of outer membrane.