Tubulysins are bioactive secondary metabolites produced by myxobacteria that promote microtubule disassembly. Microtubules
are required for protozoa such as Tetrahymena to form cilia and flagella. To study the role of tubulysins in myxobacteria,
we co-cultured myxobacteria and Tetrahymena. When 4000 Tetrahymena thermophila and 5.0 × 108
myxobacteria were
added to 1 ml of CYSE medium and co-cultured for 48 h, the population of T. thermophila increased to more than 75,000.
However, co-culturing tubulysin-producing myxobacteria, including Archangium gephyra KYC5002, with T. thermophila
caused the population of T. thermophila to decrease from 4000 to less than 83 within 48 h. Almost no dead bodies of T.
thermophila were observed in the culture medium. Co-culturing of T. thermophila and the A. gephyra KYC5002 strain with
inactivation of the tubulysin biosynthesis gene led to the population of T. thermophila increasing to 46,667. These results
show that in nature, most myxobacteria are preyed upon by T. thermophila, but some myxobacteria prey on and kill T. thermophila
using tubulysins. Adding purified tubulysin A to T. thermophila changed the cell shape from ovoid to spherical and
caused cell surface cilia to disappear.
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Since the advent of SARS-CoV-2 in Dec. 2019, the global endeavor
to identify the pathogenic mechanism of COVID-19
has been ongoing. Although humoral immunity including
neutralizing activity play an important role in protection from
the viral pathogen, dysregulated antibody responses may be
associated with the pathogenic progression of COVID-19,
especially in high-risk individuals. In addition, SARS-CoV-2
spike-specific antibodies acquired by prior infection or vaccination
act as immune pressure, driving continuous population
turnover by selecting for antibody-escaping mutations.
Here, we review accumulating knowledge on the potential
role of humoral immune responses in COVID-19, primarily
focusing on their beneficial and pathogenic properties. Understanding
the multifaceted regulatory mechanisms of humoral
responses during SARS-CoV-2 infection can help us to develop
more effective therapeutics, as well as protective measures
against the ongoing pandemic.
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Hye Won Jeong , Hyun-Ha Chang , Eun Ji Kim , Yu Kyung Kim , Se-Mi Kim , Eun-Ha Kim , Young-Il Kim , Mark Anthony B. Casel , Seong-Gyu Kim , Rare Rollon , Seung-Gyu Jang , Kwang-Min Yu , Hee-Sung Kim , Hee Sue Park , Su-Jin Park , Yong-Dae Kim , Eung-Gook Kim , Young Ki Choi
J. Microbiol. 2021;59(5):530-533. Published online April 28, 2021
To compare the standardized severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) seroprevalence of high
epicenter region with non-epicenter region, serological studies
were performed with a total of 3,268 sera from Daegu City
and 3,981 sera from Chungbuk Province. Indirect immunofluorescence
assay (IFA) for SARS-CoV-2 IgG results showed
a high seroprevalence rate in the Daegu City (epicenter) compared
with a non-epicenter area (Chungbuk Province) (1.27%
vs. 0.91%, P = 0.0358). It is noteworthy that the highest seroprevalence
in Daegu City was found in elderly patients (70’s)
whereas young adult patients (20’s) in Chungbuk Province
showed the highest seroprevalence. Neutralizing antibody
(NAb) titers were found in three samples from Daegu City
(3/3, 268, 0.09%) while none of the samples from Chungbuk
Province were NAb positive. These results demonstrated that
even following the large outbreak, the seropositive rate of
SARS-CoV-2 in the general population remained low in
South Korea.
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Microbial communities in subsurface soil are specialized for
their environment, which is distinct from that of the surface
communities. However, little is known about the microbial
communities (bacteria and fungi) that exist in the deeper
soil horizons. Vertical changes in microbial alpha-diversity
(Chao1 and Shannon indices) and community composition
were investigated at four soil depths (0–10, 10–20, 20–40,
and 40–60 cm) in a natural secondary forest of Betula albosinensis
by high-throughput sequencing of the 16S and internal
transcribed spacer rDNA regions. The numbers of operational
taxonomic units (OTUs), and the Chao1 and Shannon
indices decreased in the deeper soil layers. Each soil layer
contained both mutual and specific OTUs. In the 40–60 cm
soil layer, 175 and 235 specific bacterial and fungal OTUs
were identified, respectively. Acidobacteria was the most dominant
bacterial group in all four soil layers, but reached its
maximum at 40–60 cm (62.88%). In particular, the 40–60 cm
soil layer typically showed the highest abundance of the fungal
genus Inocybe (47.46%). The Chao1 and Shannon indices
were significantly correlated with the soil organic carbon content.
Redundancy analysis indicated that the bacterial communities
were closely correlated with soil organic carbon
content (P = 0.001). Collectively, these results indicate that
soil nutrients alter the microbial diversity and relative abundance
and affect the microbial composition.
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