Alcaligenes faecalis is one of the most important and clinically significant environmental pathogens, increasing in importance due to its isolation from soil and nosocomial environments. The Gram-negative soil bacterium is associated with skin endocarditis, bacteremia, dysentery, meningitis, endophthalmitis, urinary tract infections, and pneumonia in patients. With emerging antibiotic resistance in A. faecalis, it has become crucial to understand the origin of such resistance genes within this clinically significant environmental and gut bacterium. In this research, we studied the impact of antibiotic overuse in poultry and its effect on developing resistance in A. faecalis. We sampled soil and faecal materials from five poultry farms, performed whole genome sequencing & analysis and identified four strains of A. faecalis. Furthermore, we characterized the genes in the genomic islands of A. faecalis isolates. We found four multidrug-resistant A. faecalis strains that showed resistance against vancomycin (MIC >1000 μg/ml), ceftazidime (50 μg/ml), colistin (50 μg/ml) and ciprofloxacin (50 μg/ml). From whole genome comparative analysis, we found more than 180 resistance genes compared to the reference sequence. Parts of our assembled contigs were found to be similar to different bacteria which included pbp1A and pbp2 imparting resistance to amoxicillin originally a part of Helicobacter and Bordetella pertussis. We also found the Mycobacterial insertion element IS6110 in the genomic islands of all four genomes. This prominent insertion element can be transferred and induce resistance to other bacterial genomes. The results thus are crucial in understanding the transfer of resistance genes in the environment and can help in developing regimes for antibiotic use in the food and poultry industry.
Quorum quenching refers to any mechanism that inhibits quorum sensing processes.
In this study, quorum quenching activity among bacteria inhabiting riverside soil was screened, and a novel Gram-stain-negative, rod shaped bacterial strain designated MMS21-HV4-11(T), which showed the highest level of quorum quenching activity, was isolated and subjected to further analysis. Strain MMS21-HV4-11(T) could be assigned to the genus Reyranella of Alphaproteobacteria based on the 16S rRNA gene sequence, as the strain shared 98.74% sequence similarity with Reyranella aquatilis seoho-37(T), and then 97.87% and 97.80% sequence similarity with Reyranella soli KIS14-15(T) and Reyranella massiliensis 521(T), respectively. The decomposed N-acyl homoserine lactone was restored at high concentrations under acidic conditions, implying that lactonase and other enzyme(s) are responsible for quorum quenching. The genome analysis indicated that strain MMS21-HV4-11(T) had two candidate genes for lactonase and one for acylase, and expected protein structures were confirmed. In the quorum sensing inhibition assay using a plant pathogen Pectobacterium carotovorum KACC 14888, development of soft rot was significantly inhibited by strain MMS21-HV4-11(T).
Besides, the swarming motility by Pseudomonas aeruginosa PA14 was significantly inhibited in the presence of strain MMS21-HV4-11(T). Since the isolate did not display direct antibacterial activity against either of these species, the inhibition was certainly due to quorum quenching activity. In an extended study with the type strains of all known species of Reyranella, all strains were capable of degrading N-acyl homoserine lactones (AHLs), thus showing quorum quenching potential at the genus level. This is the first study on the quorum quenching potential and enzymes responsible in Reyranella. In addition, MMS21-HV4-11(T) could be recognized as a new species through taxonomic characterization, for which the name Reyranella humidisoli sp. nov. is proposed (type strain = MMS21-HV4-11( T) = KCTC 82780( T) = LMG 32365(T)).
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Dark septate endophytes (DSEs) are widely distributed and improve plant growth. DSEs secrete large amounts of enzymes
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Salmonella Typhimurium is a Gram-negative facultative pathogen
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silencing systems could affect the pathogenic gene expression
of S. Typhimurium. Therefore, we created acetylation-deficient
mutant by deleting two genes, pat and pta, which are
involved in the protein acetylation pathway. We observed
that the pat and pta deletion attenuates mouse virulence and
also decreases Salmonella’s replication within macrophages.
In addition, the Δpat Δpta strain showed a decreased expression
of the horizontally-acquired virulence genes, mgtC,
pagC, and ugtL, which are highly expressed in low Mg2+. The
decreased virulence gene expression is possibly due to higher
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pta deletion increases H-NS occupancy whereas the same
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Bacterial leaf streak caused by Xanthomonas oryzae pv. oryzicola
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purified phenazine substances from the secondary metabolites
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of phenazine substances against Xoc was investigated
through physiological response and transcriptomic analysis. Results showed that phenazine substances affects the cell membrane
permeability of Xoc, which causes cell swelling and deformation,
blockage of flagellum synthesis, and imbalance of
intracellular environment. The changes in intracellular environment
affect the physiological and metabolic functions of
Xoc, which reduces the formation of pathogenic factors and
pathogenicity. Through transcriptomic analysis, we found that
among differentially expressed genes, the expression of 595
genes was induced significantly (275 up-regulated and 320
down-regulated). In addition, we observed that phenazine
substances affects three main functions of Xoc, i.e., transmembrane
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resistance and induces the phosphate ion transport system to
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potato yields compared with non-intensive potato continuous
cropping (PCC) and potato-maize rotation (PMRC). However,
it is still unclear whether the degree of potato continuous cropping
obstacle is related to the soil environment formed by the
previous crop. To investigate the effect of planting potatoes
and planting maize after harvesting the spring potatoes on
soil chemical properties and soil microbial community structure,
an experiment was carried out in the same origin soil
environment over a period of seven years: (a) PCC, i.e., spring
planting; (b) IPCC, i.e., autumn and spring planting (IPCC);
(c) PMRC, i.e., spring potatoes and summer maize (PMRC),
and (d) fallow (CK). We confirmed that the potato yield under
PMRC was significantly higher than that under PCC and
IPCC. Under IPCC, soil total phosphorus content was significantly
higher than other treatments, whereas ammonium
nitrogen content was the lowest. Compared with PCC and
IPCC, PMRC had a higher ammonium nitrogen content and
lower total phosphorus content. The significantly different
fungal taxa in IPCC (Glomerellales, Plectosphaerella, Thelebolales)
may threaten the health of the plant and positive correlated
with soil total phosphorus, while other microbial taxa
in PMRC (Bacillales, Polythrincium, Helotiales) can mainly
promotes plant nitrogen uptake and protects plants against
diseases. The PMRC-promoting taxa were positively correlated
with the ammonium nitrogen content and negative correlated
with soil total phosphorus content. In summary, the
cropping systems might have affected potato yields by changed
soil microorganism community structures – especially fungal
community structures – and by the chemical properties of the
soils that also depends on microbes.
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complex ecosystem and human health. Characterizing their
structural and functional diversities is indispensable, and
many approaches, such as microscopic observation, DNA
fingerprinting, and PCR-based marker gene analysis, have
been successfully applied to identify microorganisms. Since
the revolutionary improvement of DNA sequencing technologies,
direct and high-throughput analysis of genomic
DNA from a whole environmental community without prior
cultivation has become the mainstream approach, overcoming
the constraints of the classical approaches. Here, we first
briefly review the history of environmental DNA analysis
applications with a focus on profiling the taxonomic composition
and functional potentials of microbial communities.
To this end, we aim to introduce the shotgun metagenomic
sequencing (SMS) approach, which is used for the untargeted
(“shotgun”) sequencing of all (“meta”) microbial genomes
(“genomic”) present in a sample. SMS data analyses are performed
in silico using various software programs; however,
in silico analysis is typically regarded as a burden on wet-lab
experimental microbiologists. Therefore, in this review, we
present microbiologists who are unfamiliar with in silico analyses
with a basic and practical SMS data analysis protocol.
This protocol covers all the bioinformatics processes of the
SMS analysis in terms of data preprocessing, taxonomic profiling,
functional annotation, and visualization.
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Computational analysis of biological data is becoming increasingly
important, especially in this era of big data. Computational
analysis of biological data allows efficiently deriving
biological insights for given data, and sometimes even
counterintuitive ones that may challenge the existing knowledge.
Among experimental researchers without any prior exposure
to computer programming, computational analysis
of biological data has often been considered to be a task reserved
for computational biologists. However, thanks to the
increasing availability of user-friendly computational resources,
experimental researchers can now easily access computational
resources, including a scientific computing environment
and packages necessary for data analysis. In this regard,
we here describe the process of accessing Jupyter Notebook,
the most popular Python coding environment, to conduct
computational biology. Python is currently a mainstream programming
language for biology and biotechnology. In particular,
Anaconda and Google Colaboratory are introduced as
two representative options to easily launch Jupyter Notebook.
Finally, a Python package COBRApy is demonstrated as an
example to simulate 1) specific growth rate of Escherichia coli
as well as compounds consumed or generated under a minimal
medium with glucose as a sole carbon source, and 2)
theoretical production yield of succinic acid, an industrially
important chemical, using E. coli. This protocol should serve
as a guide for further extended computational analyses of biological
data for experimental researchers without computational
background.
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plants and microbial communities, and environmental factors
such as soil type can influence these relationships. However,
most studies on root-associated microbial communities
have focused on model plants such as Arabidopsis, rice or
crops. Herein, we examined the microbiota of rhizocompartments
of two native plants, Sedum takesimense Nakai and
Campanula takesimana Nakai, using archaeal and bacterial
16S rRNA gene amplicon profiling, and assessed relationships
between environmental factors and microbial community
composition. We identified 390 bacterial genera, including
known plant-associated genera such as Pseudomonas,
Flavobacterium, Bradyrhizobium and Rhizobium, and uncharacterized
clades such as DA101 that might be important
in root-associated microbial communities in bulk soil. Unexpectedly,
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has a greater impact on microbial community composition
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and correlations with environmental factors, and expand
our understanding of the microbiota in rhizocompartments
of native plants.
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Advances in mass spectrometry have enabled the investigation
of various biological systems by directly analyzing diverse
sets of biomolecules (i.e., proteins, lipids, and carbohydrates),
thus making a significant impact on the life sciences field.
Over the past decade, matrix-assisted laser desorption ionization
time-of-flight mass spectrometry (MALDI-TOF MS) has
been widely utilized as a rapid and reliable method for the
identification of microorganisms. MALDI-TOF MS has come
into widespread use despite its relatively low resolving power
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high-resolution mass spectrometers are equipped. Microbial
identification is achieved by searching databases containing
mass spectra of peptides and proteins extracted from microorganisms
of interest, using scoring algorithms to match analyzed
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a brief overview of the diverse applications of rapid and robust
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