Describing the importance of genetics and its research as application to emphasis how it can solve important problems related to human health. The presentation included summary of three publications.
TNF-alpha and LPA promote synergistic expression of COX-2 in human colonic my...Enrique Moreno Gonzalez
Enhanced EGF receptor (EGFR) signaling is a hallmark of many human cancers, though the role of enhanced EGFR signaling within the surrounding tumor stroma has not been well studied. The myofibroblast is an important stromal cell that demonstrates enhanced EGFR expression in the setting of inflammation, though the functional relevance is not known. We
recently reported that TNF-α and the G protein-coupled receptor (GPCR) agonist lysophosphatidic acid (LPA) lead to synergistic cyclo-oxygenase-2 (COX-2) expression, an enzyme strongly associated with the development of colitis-associated cancer. Here, we investigate whether EGFR signaling plays a role in the synergistic COX-2 expression induced by LPA and TNF-α.
Klf2 is an essential factor that sustains ground state pluripotency cell st...Jia-Chi Yeo, PhD
First-author research article published in Cell Stem Cell which describes how stem cell states can be influenced by external signals. This word was completed with the help of a multidisciplinary team of researchers at the Genome Institute of Singapore (A*STAR).
INTRODUCTION
HISTORY
NEED OF SYNCHRONIZATION
TYPES OF SYNCHRONIZATION
(I)PHYSICAL CELL SEPARATION
(II)BLOCKADE
PHYSICAL Vs BLOCKADE SYNCHRONIZATION
CONCLUSION
REFFERENCE
Describing the importance of genetics and its research as application to emphasis how it can solve important problems related to human health. The presentation included summary of three publications.
TNF-alpha and LPA promote synergistic expression of COX-2 in human colonic my...Enrique Moreno Gonzalez
Enhanced EGF receptor (EGFR) signaling is a hallmark of many human cancers, though the role of enhanced EGFR signaling within the surrounding tumor stroma has not been well studied. The myofibroblast is an important stromal cell that demonstrates enhanced EGFR expression in the setting of inflammation, though the functional relevance is not known. We
recently reported that TNF-α and the G protein-coupled receptor (GPCR) agonist lysophosphatidic acid (LPA) lead to synergistic cyclo-oxygenase-2 (COX-2) expression, an enzyme strongly associated with the development of colitis-associated cancer. Here, we investigate whether EGFR signaling plays a role in the synergistic COX-2 expression induced by LPA and TNF-α.
Klf2 is an essential factor that sustains ground state pluripotency cell st...Jia-Chi Yeo, PhD
First-author research article published in Cell Stem Cell which describes how stem cell states can be influenced by external signals. This word was completed with the help of a multidisciplinary team of researchers at the Genome Institute of Singapore (A*STAR).
INTRODUCTION
HISTORY
NEED OF SYNCHRONIZATION
TYPES OF SYNCHRONIZATION
(I)PHYSICAL CELL SEPARATION
(II)BLOCKADE
PHYSICAL Vs BLOCKADE SYNCHRONIZATION
CONCLUSION
REFFERENCE
An Ecophylogenetic Approach to Determine the Evolutionary History of the Mamm...tsharpton
Identifying those gut microbes that co-diversify with mammals is important to our understanding of the mechanisms and health implications of host-microbiome interactions. For example, microbiota that are conserved across mammalian species may express a trait that has been subject to selection throughout the evolution of these mammals, possibly because it is critical to health. While advances in environmental DNA sequencing have transformed our understanding of how enteric microbes are distributed across mammalian species, these data are frequently analyzed using phylogenetically agnostic approaches. Such approaches can obscure the detection of diverged groups of bacteria that have been conserved across mammalian species. To provide enhanced resolution into evolutionary associations between gut microbiota and mammals, we innovated a high-throughput ecophylogenetic method, known as ClaatTU (Cladal Taxonomic Units). ClaaTU analyzes phylogenies assembled from environmental DNA sequences collected from a set of microbial communities and profiles the presence and abundance of each monophyletic clade in each community. As a result, it enables the identification of specific microbial clades that are distributed across host communities in a manner indicative of being associated with mammalian evolution. To demonstrate this, we applied ClaaTU to a mammalian microbiome dataset and (1) identified clades of gut bacteria that are unique to groups of mammals based on their taxonomy or dietary regime, (2)
found that there exists ecophylogenetic structure in the mammalian gut microbiome, indicating that gut bacterial phylogenetic diversity associates with host phylogeny, and
(3) discovered specic clades that are present in a larger number of mammals than expected by chance, some of which may co-diversify with their hosts. Our findings indicate that some mammalian gut microbiota may have been anciently acquired and subsequently retained in extant lineages, indicating that they may play an important role in mediating host-microbiome interactions and maintaining host health.
Mining Eukaryotic Meta-Genomes for Endosymbionts using Next-Generation Sequen...Surya Saha
The availability of high-throughput next generation sequencing technologies presents an opportunity for in-silico discovery of endosymbionts. We describe a method for mining a whole genome shotgun metagenome to identify members of the endosymbiont community followed by reconstruction and validation of a high-quality draft microbial genome.
The Asian citrus psyllid (D. citri Kuwayama or ACP) is host to 7+ bacterial endosymbionts and is the insect vector of Ca. liberibacter asiaticus, causal agent of citrus greening, a disease that has cost the Florida citrus industry $3.63 billion since 2006.
DNA from D. citri was sequenced to 108X coverage to produce paired-end and mate-pair Illumina libraries. The sequences were mined for wolbachia (wACP) reads using 4 sequenced Wolbachia genomes as bait. Putative wACP reads were then assembled using Velvet and MIRA3 assemblers. The resulting wACP contigs were annotated using the RAST and compared to the closest sequenced wolbachia from an insect genome, Wolbachia endosymbiont of Culex quinquefasciatus (wPip). MIRA3 was able to reconstruct a majority of the wPip CDS regions and was therefore, selected for scaffolding using large insert mate-pair libraries. The wACP scaffolds were further improved using wPip as reference genome to orient and order the contigs.
In order to determine the presence of the core Wolbachia proteins in our wACP scaffold, we compared them to core Wolbachia proteins identified by OrthoMCL. 1164/1213 wACP proteins had matches of which 669 were to core proteins. This number compares favorably to the number of core proteins (670) found in sequenced Wolbachias.
Diversion colitis is characterized by mucosal inflammation in segments of the colon that are surgically diverted from the fecal stream. This inflammatory disorder is reported to occur in up to 100% of individuals after colostomy or ileostomy, often occurring within a year following surgery
Diversion Colitis: A Bioenergetic Model of PathogenesisJohnJulie1
Diversion colitis is characterized by mucosal inflammation in segments of the colon that are surgically diverted from the fecal stream. This inflammatory disorder is reported to occur in up to 100% of individuals after colostomy or ileostomy, often occurring within a year following surgery
In the LaboratoryJChemEd.chem.wisc.edu • Vol. 76 No. 9 .docxbradburgess22840
In the Laboratory
JChemEd.chem.wisc.edu • Vol. 76 No. 9 September 1999 • Journal of Chemical Education 1283
Determination of Myoglobin Stability
by Visible Spectroscopy
Paul A. Sykes, Harn-Cherng Shiue, Jon R. Walker, and Robert C. Bateman Jr.*
Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, MS 39406-5043;
*[email protected]
Proteins are biopolymers that fold spontaneously into a
well-defined three-dimensional structure (1–5). The stability of
these intricate structures in solution is usually measured by
their resistance to denaturation in the presence of either heat
or chemical denaturants. These demonstrations of protein
stability are rarely encountered in the biochemistry teaching
laboratory despite publications in this Journal of denaturation
experiments involving chymotrypsin (6 ) and ribonuclease
(7 ). Both of those studies used as a denaturant the guani-
dinium ion, which increases the solubility of both polar and
nonpolar amino acid side chains and thereby reduces the hydro-
phobic effect on protein stability (8–10). The chymotrypsin
experiment is noteworthy in that both protein conformation
and enzyme activity are monitored simultaneously, directly
illustrating the structure–function relationship. However, the
protein conformation is monitored by intrinsic fluorescence,
a technique that may be difficult for a modestly equipped
teaching laboratory to utilize. The ribonuclease unfolding
experiment is monitored in the ultraviolet (287 nm) where the
total absorbance change upon denaturation is very small and
difficult to measure accurately. The simplest procedure would
be to utilize a visible protein that undergoes a significant
change in color intensity upon denaturation. This would allow
the denaturation to be followed with an inexpensive spectro-
photometer or possibly even a colorimeter. In our opinion,
the best candidate for such a protein is myoglobin.
Myoglobin (Mr 16,700) is a simple monomeric oxygen-
binding protein found within muscle cells. This protein’s
crystal structure was the first elucidated and its reversible
unfolding has been well studied (11, 12). Because of their
obvious historical and biological significance, myoglobin and
hemoglobin are discussed extensively in most biochemistry
texts. Myoglobin contains one polypeptide chain of 153
residues and a heme prosthetic group. The heme group is
buried in a hydrophobic pocket within the protein’s interior.
This interaction of the heme with a structural feature of the
protein results in the Soret band, a strong absorbance peak in
the visible spectrum at 409 nm for myoglobin. Upon dena-
turation of myoglobin, a decrease in absorbance at 409 nm
occurs owing to the exposure of heme to the polar aqueous
solvent (11–13). This denaturation is easily and reproducibly
measured in the teaching laboratory either by fluorescence
spectroscopy, as described in a recent review of protein folding
by Jones (13), or by visible spect.
Authors: Kazuya Horibe, Walker Kathryn, Risi Sebastian
Conference:Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings
Paper: https://arxiv.org/pdf/2102.02579.pdf
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
2. Why did I choose these papers?
Swarm Intelligence(= the self-organized system, natural or artificial)
Emergence of global behavior
How swarm dynamics is organized?
Interaction between individuals
How individuals in communities interact?
Division of labor and production of common goods
Competition with each other for limited resources
How individuals in communities increase the overall fitness of the population?
ADVANCESIN PHYSICS,2000, VOL.49, NO.4, 395
554
PLoS Comput. Biol. 11 (8) (2015) e1004273
Proc. Natl Acad. Sci. USA 112, 4690–4695 (2015)
3. The life cycle of biofilm
Nature Reviews Microbiology 11, 157-168 (2013)
A biofilm is a group of microbe which stick to each other on a surface.
Cells in a biofilm are embedded within a self-produced matrix of
extracellular polymeric substance.
Bacteria scale; 1μm
Biofilm scale; 100μm~
5. Schematic summary (of the two papers)
YugO; potassium ion chanel
c. The signal propagation reduces the uptake of
glutamate in exterior cells. The cycle is reset when
interior cells are not starved.
Nature 527, 44–45 (2015)
a. When exterior cells take up glutamates, interior cells
become starved. Nutrient-stress cases to secrete K+ .
b. The release of K+ changes the transmembrane
voltage of cells and leads to the subsequent release of
K+ from neighbouring cells.
Paper A, Fig1a,b
Paper A, Fig4a
Trade off(Protection and Nutrient access)
Metabolic co-dependence
Resilience to external attack
Paper A, Fig3a,b
How B.subtilis biofilms grow in periodic cycles once the colony reaches a threshold size?
How the metabolic state of cells is communicated over long distances?
6. Is the oscillations depend on
cell replication or growth?
PaperA,Fig1
the average cell replication time=3.4 0.2 h
the average period of oscillations= 2.5 0.8 h
Oscillations arise during biofilm
formation(cell growth).
the diameter at which a colony initiates
oscillations = 576 85 μm
7. Media
cell membrane
Which nutrient conditions cause
oscillations in biofilm growth?
GDH; glutamate dehydrogenase
GS; glutamine synthetase
PnasA; the promoter activated upon glu limitation
(1) Which of these substrates could be responsible for the observed glutamine limitation?
(2) Whether interior or peripheral cells exhibited changes in growth?
biofilms under nutrient-limited conditions
cell growth is controlled by metabolism
→Carbon, Nitrogen?
Addition of exogenous glutamine eliminated periodic halting
of biofilm growth.
8. (1)Which substrates could be responsible for the glutamine limitation?
(2)Which cells exhibited changes in growth?
Paper A, Fig2
Paper A, FigS4
How peripheral cells could
experience periodic ammonium
limitation despite a constant supply
of glutamate in the media?
(1) Critical substrate is ammonium.
(2) periodic reduction in the growth of peripheral cells
Media
cell membrane
9. Mathematical model for metabolic co-dependence
Paper A, Fig2a,d
Media Flow
Ammonium limitation for peripheral
cells may arise due to glutamate
limitation for interior cells.
Main assumptions
(1) Consumption of glutamate
during growth of peripheral
cells deprives interior cells of
this nutrient and thus inhibits
ammonium production in the
biofilm interior.
(2) The growth of peripheral cells
depends predominantly on
ammonium that is produced
by metabolically stressed
interior cells.
modeling
Ammonium ion can cross the cell membrane and be
lost to the extracellular media.(Arch. Microbiol. 139, 245–247 (1984))
?
Separation cells(interior and peripheral)
Two subpopulations depends on nutrient availability.
Paper A, Fig3a,b
10. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (Metabolic condition)
ρ; the cell density
μ; the growth rate of biofilm
i→interior, p→peripheral
11. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (Metabolic condition)
ρ; the cell density
μ; the growth rate of biofilm
12. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (Metabolic condition)
ρ; the cell density
μ; the growth rate of biofilm
13. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (Metabolic condition)
ρ; the cell density
μ; the growth rate of biofilm
14. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (Metabolic condition)
ρ; the cell density
μ; the growth rate of biofilm
15. The simple model accounted for
experimental observations.
Paper A Fig3c-h(model)
Paper A, Fig2(observation)
Growth rate of Interior cells oscillates, not periphery
Critical substrate is ammonium.
16. Why peripheral cells do not increase
intracellular production?
GDH overexpression
- stopped growth oscillations.
- resulted in high levels of cell death in the colony interior.
The Biofilm can regenerate itself in an external attack by metabolic co-dependence.
17. Schematic summary (of the two papers)
YugO; potassium ion chanel
c. The signal propagation reduces the uptake of
glutamate in exterior cells. The cycle is reset when
interior cells are not starved.
Nature 527, 44–45 (2015)
a. When exterior cells take up glutamates, interior cells
become starved. Nutrient-stress cases to secrete K+ .
b. The release of K+ changes the transmembrane
voltage of cells and leads to the subsequent release of
K+ from neighbouring cells.
Paper A, Fig1a,b
Paper A, Fig4a
Trade off(Protection and Nutrient access)
Metabolic co-dependence
Resilience to external attack
Paper A, Fig3a,b
How B.subtilis biofilms grow in periodic cycles once the colony reaches a threshold size?
How the metabolic state of cells is communicated over long distances?
18. Communication through electrical
signaling (Intro Paper B)
Glutamate (Glu−) and ammonium (NH4+) are both charged metabolites, whose respective
uptake and retention is known to depend on the transmembrane electrical potential and
proton motive force.(J. Bacteriol. 177, 2863–2869 (1995))
FEMS Microbiol. Rev. 29, 961–985 (2005)
The role of ion channels
in bacteria has remained
unclear.
Proc. Natl Acad. Sci. USA 109, 18891–18896 (2012)
Biofilms can exhibit
fascinating
macroscopic spatial
coordination.
19. Membrane potential oscillates in
the biofilm growth.
Paper B Fig1
ThT; Membrane potential
PaperB FigS1d
We focus on potassium because this ion is the most abundant cation in all living cells
and has been implicated to have a role in biofilm formation.
20. Extracellular potassium has a role in the synchronized
oscillations in membrane potential.
ThT; Membrane potential
APG-4; Extracellular potassium
ANG-2; Extracellular sodium
Paper B FigS2
21. Oscillations in membrane potential were driven by
flow of potassium across the cell membrane.
ThT; Membrane potential
APG-4; Extracellular potassium
ANG-2; Extracellular sodium
Paper B Fig2
300mM KCl; matching the intracellular potassium concentration
22. Active and extracellular propagation of
potassium signal: speed and intensity
The signal travels at a constant rate of propagation.
The amplitude of the signal does not decay with distance travelled.
paper B Fig2 f,g,h
paper B FigS3 c,d
L = v*t
L; distance
v; velocity
t; time
23. The molecular mechanism of
signal propagation
Since glutamate limitation is known to drive the
underlying metabolic oscillations, we anticipated
that transient removal of glutamate could initiate
potassium release.
(1)Glutamate limitation can trigger the potassium
signal via the YugO potassium channel.
YugO; potassium channel in B. subtilis
TrkA; gate domain of YugO
kCl shock; transient bursts of external potassium (300 mM KCl)
paper B Fig S4a
paper B Fig 3a
paper B Fig 3c
(2)YugO appears to have a role in propagating the
extracellular potassium signal within the biofilm.
paper B Fig 3b
(1)
(2)
(3)
(3)Glutamate transport capacity ∝
The proton motive force
J. Bacteriol. 177, 2863–2869 (1995)
FEBS Lett. 585, 23–28 (2011)
Nature Rev. Microbiol. 9, 330–343 (2011)
24. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
25. Mathematical modeling of
electric signaling
V; the membrane potential(Hoggkin-Huxley model)
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
26. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
27. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
28. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
29. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
30. Mathematical modeling of
electric signaling
V; the membrane potential
n; channel open during a fraction of time
S; the concentration of stress-related metabolic products
E; the excess extracellular potassium concentration
T; the ThT concentration
Nature 527, 59–63 (2015)Supplementary Information
31. Schematic summary (of the two papers)
YugO; potassium ion chanel
c. The signal propagation reduces the uptake of
glutamate in exterior cells. The cycle is reset when
interior cells are not starved.
Nature 527, 44–45 (2015)
a. When exterior cells take up glutamates, interior cells
become starved. Nutrient-stress cases to secrete K+ .
b. The release of K+ changes the transmembrane
voltage of cells and leads to the subsequent release of
K+ from neighbouring cells.
Paper A, Fig1a,b
Paper A, Fig4a
Trade off(Protection and Nutrient access)
Metabolic co-dependence
Resilience to external attack
Paper A, Fig3a,b
How B.subtilis biofilms grow in periodic cycles once the colony reaches a threshold size?
How the metabolic state of cells is communicated over long distances?
32.
33. Biofilm growth
(Intro Paper A)
Proc. Natl Acad. Sci. USA 98, 11621–11626 (2001) Proc. Natl Acad. Sci. USA 109, 18891–18896 (2012)
Natl Acad. Sci. USA 110, 848–852 (2013) Proc. Natl Acad. Sci. USA 111, 18013–18018 (2014)
34. A; the concentration of ammonium
G; the concentration of glutamate in the biofilm interior
H; the concentration of active glutamate dehydrogenase
r; the rate of biomass production (the concentrations of housekeeping proteins)
ρ; the cell density
μ; the growth rate of biofilm
Assumptions
35. Schematic summary (of the two papers)
YugO; potassium ion chanel
Paper A, Fig1a,b Paper A, Fig3a,b
Paper B, Fig1d Paper B, Fig2c
c. The signal propagation reduces the uptake of
glutamate in exterior cells. The cycle is reset when
interior cells are not starved.
Nature 527, 44–45 (2015)
a. When exterior cells take up glutamates, interior cells
become starved. Nutrient-stress cases to secrete K+ .
b. The release of K+ changes the transmembrane
voltage of cells and leads to the subsequent release of
K+ from neighbouring cells.
36. Question and Result
How the metabolic state of cells is communicated over
long distances?
Maintenance of the proper intracellular concentrations of glutamate and
ammonium depends on the electrical potential across the cell membrane.
Membrane potential depends on sodium or potassium ion. (Paper B)
How Bacillus subtilis biofilms grow in periodic cycles
once the colony reaches a threshold size?
These oscillations arise when the cells in the biofilm‘s interior become
deprived of glutamate, owing to high consumption of the amino acid
by peripheral cells. (Paper A)
→metabolic states(biofilm oscillation) depend on
sodium or potassium ion. (Paper B)
→The first example of a bacterial potassium channel
that functions in a signaling role, through long-range
coordination of metabolic oscillations.
37. Question and Result
Maintenance of the proper intracellular concentrations of glutamate and ammonium
depends on the electrical potential across the cell membrane.(J. Bacteriol. 177, 2863–2869 (1995))
Membrane potential depends on potassium ion. (Paper B)
How Bacillus subtilis biofilms grow in periodic cycles once the
colony reaches a threshold size?
→Metabolic states(biofilm oscillation) depend on
potassium ion. (Paper A, Paper B)
These oscillations arise when the cells in the biofilm’s interior become
deprived of glutamate, owing to high consumption of the amino acid by
peripheral cells. (Paper A)
How the metabolic state of cells is communicated
over long distances(about 200μm)?
Question Result
Paper A, Fig3a,b Paper B, Fig1d
38. Media
cell membrane
Which nutrient conditions cause
oscillations in biofilm growth?
GDH; glutamate dehydrogenase
GS; glutamine synthetase
PnasA; the promoter activated upon glu limitation
(1) Which of these substrates could be responsible for the observed glutamine limitation?
(2) Whether interior or peripheral cells exhibited changes in growth?
biofilms under nutrient-limited conditions
cell growth is controlled by metabolism
→Carbon, Nitrogen?
PnasA is the index of glutamine limitation.
Addition of exogenous glutamine eliminated periodic halting
of biofilm growth.
39. Oscillations in membrane potential were driven by
flow of potassium across the cell membrane.
ThT; Membrane potential
APG-4; Extracellular potassium
ANG-2; Extracellular sodium
Paper B FigS3Paper B Fig2
300mM KCl; matching the intracellular potassium concentration
Valinomycin; an antibiotic that creates potassium-specific carriers in the cellular membrane
40. Potassium channel is necessary for long
range membrane potential propagation.
paper B Fig3 e,f,g
YugO channel gating appears to promote efficient
electrical communication between long distant cells.
model(show later)
41. Conclusion (of the two papers)
YugO; potassium ion chanel
Nature 527, 44–45 (2015)
a. When peripheral cells take up most of the available glutamate, the interior cells become
starved. Nutrient-stressed interior cells secrete potassium ions (K+ ) through the YugO K+
channel.
b. The release of K+ ions then changes the trans membrane voltage of cells and leads to the
subsequent release of K+ ions from neighboring cells, propagating the starvation signal.
c. The signal propagation ultimately reduces the uptake of glutamate in peripheral cells.
Glutamate becomes available for interior cells to consume and the cycle is reset.
42. refarence
Metabolic co-dependence gives rise to collective oscillations within biofilms. Nature 523, 550–
554 (2015)
Microbiology: Electrical signalling goes bacterial. Nature 527, 44–45 (2015)
Ion channels enable electrical communication in bacterial communities. Nature 527, 59–63
(2015)