[From Bill Powers (2000.01.13.0836 MDT)]
[Martin Taylor 20000112 17:09]
I'm glad to see some independent confirmation concerning the E. coli
method, but your information is a bit inaccurate. Mine, by the way, came
from a book by Daniel Koshland (a former editor of Science and a
biochemist), _Bacterial Chemotaxis as a Model Behavioral System_ (New York:
Raven Press, 1980). Koshland did a good deal of the research himself.
Berg's report does not agree with Koshland's findings in several regards.
A single e-coli cell has six separate motors, each of which rotates
a helical "flagellum" that acts like a propellor on a small aircraft to
drive the cell in one direction or other. The motors can run clockwise
(CW) or counterclockwise (CCW). When the motors are running CW, they run
independently, and the cell moves erratically ("tumbles"). When the
motors run CCW, the filaments work as a bundle that drives the cell
in a steady forward motion ("runs").
According to Koshland: The flagellae work together for both forward and
reverse motion, although reverse motion is somewhat slower than forward.
The tumbles appear to take place near the switching point between forward
and reverse; I inferred that the exact switching point differed slightly
among flagellae, so when some were pushing while others were pulling,
tumbling took place. See Koshland, p. 52-53. Tumbling is definitely not
caused by reversing all the flagellae; that results in smooth backward
swimming.
If the cell is in a region of uniform
concentration of nutrients, these two types of motion alternate with
an exponential distribution of the time in each phase. (There's a 3-D
picture of such a track in the article). It doesn't matter what the
concentration is, the time distributions remain the same.
That's for uniform concentrations. In a gradient, the time between tumbles
varies about the mean time with the cross product of gradient and swimming
velocity.
The real e-coli has limitations that the "e-coli method" does not have.
For one, the real e-coli has a limited memory for where it is heading,
and is subject to "Brownian" changes of direction even when it is "running".
So it tumbles even when heading up the gradient, and it runs when
heading down the gradient. The "method" does neither.
As far as I can tell, the real E. coli has no memory at all for where it is
heading, and for that matter no perception of where it is heading to have a
memory of. Its only perceptual signal involved in steering, according to
Koshland, corresponds to the time rate of change of concentration at its
chemical receptors, or at the next stage inward. Certainly the model has no
such memory.
Actually, the original model did work just like the real E. coli: there was
a mean interval between tumbles which existed in a uniform concentration.
The interval was increased by swimming up the gradient and decreased by
swimming down it. A gain factor determined how much increase or decrease of
interval is produced by a given positive or negative time rate of change.
This gain factor was the only parameter that needed to be adjusted to match
the model to the observations.
A more efficient mode (in the model) turned out to make tumbling occur
whenever the time rate of concentration was decreasing, and never to occur
when it was increasing. This amounts simply to setting the gain of the real
system very high. It's also very easy to compute.
The exponential distribution of times has a slightly longer time
constant when the cell is moving up the gradient than when it is in
a uniform concentration, but the time constants are the same when it is
moving down the gradient as they are in a uniform concentration. It's
a one-sided control system, in that sense.
I don't know what that means. According to Koshland, when the rate of
change of concentration is varied, the percent of smooth swimming (measured
over times of 20 seconds to 2 minutes) can vary between 100% and 0%. See
plots on p. 87. So the exponential distribution of timesm, whatever that
means, has little relationship to the time spend swimming or tumbling,
evidently.
Koshland did many experiments with bacteria "tethered" in a gel, so he
could perfuse the medium with variable concentrations of attractants and
repellents, measuring the motion of the flagellae under a microscope. What
he saw was completely consistent with the free-swimming behavior.
The operation is said to be like this: Aspartate is the nutrient in the
example described, but there are other chemoreceptors, which presumably
operate similarly. There's a chemical that tends to stabilize the CW
state (tumble), but it's an unstable chemical, being continuously built
and destroyed. Aspartate reception reduces the rate at which it is built,
thereby reducing the stability of the CW phase, and enhancing the
stability of the CCW (running) phase. So one would think that the more
aspartate the cell detects, the more it would run in the same direction
and the less it would tumble. But there is also another effect, which the
author calls adaptation, but we might call control.
If you combine sensing a concentration and adaptation due to breakdown of
the chemical, you get time rate of change sensing. See Koshland's chapter 6
on "Adaptation" (p.107-125, esp. p. 122).
The catalyst for the building of the CW-stabilizer has been reduced by
the aspartate, but it is involved in a negative feedback loop whereby it
inhibits its own production. Hence when it is disturbed by the aspartate,
it reduces the inhibition on its own production, and comes back to the
original level. This restores the CW-CCW balance, but it takes time
to do so.
Frankly, that sounds like hogwash to me. What does "stablizing" the CW
rotation mean? I don't think Berg even has the facts right, but of course
that would be between him and Koshland (and the other workers Koshland
cites). Also, if CW and CCW were in balance, the bacterium would be
continuosly tumbling, wouldn't it?
In a uniform concentration, the adaptation balances the CW and CCW phases
at the same stability ratio no matter what level the concentration is at.
When the concentration is increasing, the rate of adaptation is slower
than the rate of destabilising the CW phase, so there is more "running"
and less "tumbling" until the concentration is no longer rising. In effect,
the cell compares the concentration "now" with the concentration "a moment
ago" and tumbles less if the concentration "now" is greater.
This might be fine if tumbling went with CW and running went with CCW
rotation of the flagellae. But I don't think there's even a chance that
this is correct. If you read Koshland, I think you'll agree: he would have
had to invent most of his data if what Berg says is true. I think Berg's
model is vague to the point of nonexistence, not to mention that it
represents a nonexistent phenomenon. do you have any reason to suppose that
Berg knows what he's talking about?
According to the article, there is no excess stabilisation of the CW
(tumble) phase when the concentration of aspartate is decreasing, though
one would think there should be.
Especially since it is observed that a negative time rate of change of
concentration of attractant (swimming down the gradient) decreases the
interval to the next tumble, while a positive rate of change increases it,
both relative to the rate in a uniform concentration. What would "excess
stabilization of the CW phase" mean?
There's lots more in the article, such as the mechanical construction of
the motors, and the torque-speed relations when e-coli is warm or cold,
and so forth. But I think the above is most of what might be marginally
relevant to CGSnet--just as a matter of interest. I think the "e-coli
method" probably works better than the e-coli bacterium!
I'm sure there is much interesting information in the article, but one has
to question the author's understanding of the material -- either that, or
Koshland's integrity.
You're quite right about the model working better than the bacterium -- the
gain in the model is far higher than in the bacterium. For reorganizing in
the manner I have proposed, it is more efficient. However, I wouldn't claim
that it is "better" in terms of E. coli's ecology. E. coli can approach and
avoid as many as 27 substances at the same time (according to Koshland),
and it may be quite necessary for the various control systems to operate
with less than maximum gain in order to make this possible.
There's no reference in the article to a Web site, though one would think
it a perfect subject for a very pretty one!
More to the point, is there any reference to Koshland's 1980 work?
Best,
Bill P.