Doug, 

Clearly you have never looked closely at Sperm under a microscope.  

We have made enormous strides in micro-visualization technology in the last 
generation. 

Nick 

Nicholas S. Thompson
Emeritus Professor of Psychology and Ethology, 
Clark University ([email protected])
http://home.earthlink.net/~nickthompson/naturaldesigns/
http://www.cusf.org [City University of Santa Fe]




----- Original Message ----- 
From: Douglas Roberts 
To: The Friday Morning Applied Complexity Coffee Group
Sent: 3/29/2010 9:48:32 AM 
Subject: Re: [FRIAM] Sperm pelotons; article in Nature


Does anybody besides me have problems getting past the term "sperm pelotons"  
without having bizarre mental images of teeny little bicycles, spandex, and 
colorful itty bitty jerseys?



--Doug


On Mon, Mar 29, 2010 at 9:42 AM, Hugh Trenchard <[email protected]> wrote:

Thanks Eric for taking the time to look through my post.  For Nick's last post, 
I am not entirely sure what a "genefur" is, although it sounds like it is a 
reference to an inherent genetic trait, as you also discuss.

Yes, I agree it will help my argument if I hone in more closely on what I mean 
by fitness, and I will add some description to clarify this. My useage relates 
to inherent physical fitness in terms of maximum power output capacity. That 
too needs fine-tuning because I refer to "maximum sustainable output", which is 
not the same as absolute maximum power output, and I would need to outline more 
carefully what this means.  Regardless, I  think there are ways of testing for 
the actual power-output capacities of individual sperm - I have seen references 
in the literature to testing procedures for this. 

Because I know very little about genetics, for my part I would be treading 
dangerously to begin describing the process in a gene-related sense (and I 
would not want to get into discussion about chromosomes), but to address the 
issue you raise (if I understand it correctly), it would be necessary to 
measure the power output of the sperm of individual male mice to determine the 
range of their output capacities and/or the sperms' average output. This is no 
doubt not easy, but I imagine there would be some sampling size that would 
provide an accurate indication of the overall output range. And certainly one 
would want clearly to correspond average sperm outputs and ranges with the 
genetic descriptions of the various mice tested, but this could be done 
according to a replication of the Fisher and Hoesktra procedures.  It would 
also be necessary to determine percentages of energy savings that occur when 
sperm are coupled (if this does in fact occur).

My model assumes that there is a difference in the average power output of 
individual males' sperm, whether related or unrelated or of the same species or 
not - a difference sufficiently significant to demonstrate that sorting occurs 
according to fitness (in the power-output sense) and not according to some 
mechanism for identifying the genetic relatedness of the sperm, as the authors 
of the Nature article appear to suggest.  The fact that sperm aggregate 
indicates coupling and energy savings, which is why (in my view) the peloton 
model applies.

In terms of chance, it seems to me Fisher and Hoekstra have taken a lot of care 
to establish that there is sorting beyond chance, but implicitly ascribe that 
sorting to some sensory/perceptual capacity of the sperm to identify related 
sperm.  My model begins with their proven result that there is sorting beyond 
chance, and asks whether there is some sorting mechanism involved other than an 
unidentified mechanism to perceive the location of related sperm, which is 
intuitively problematic because (it seems) sperm do not have a sufficiently 
developed sensory system (i.e. eyes, ears, or other) to do this. 

My model provides a simpler explanation for the sorting process than the 
Hoekstra & Fisher explanation, because, in my model, sorting occurs according 
to self-organized energetic principles, and not according to a 
perceptual/sensory mechanism, as apparently implied by the authors.  

I can see how a basic computer simulation would be helpful as a starting point 
for making predictions according to my model, which I see is really my next 
step. 

Does anyone know how/where one could apply for some funding to resource such a 
simulation?  I could develop it myself (and have developed at least one 
simulation, but it really needs to be worked through again), but it would 
happen a whole lot faster if I could engage someone more adept at computer 
modelling than me.


----- Original Message ----- 
From: ERIC P. CHARLES 
To: Nicholas Thompson 
Cc: Hugh Trenchard ; [email protected] 
Sent: Saturday, March 27, 2010 2:54 PM
Subject: Re: [FRIAM] Sperm pelotons; article in Nature


Hugh, 
Very interesting model! One of my doctoral adviser's, Jeffrey Schank has 
demonstrated repeatedly that scientists are very bad at predicting what 
'chance' looks like when trying to do experiments involving synchrony. This 
seems one of those situations, and the only way around it is modeling. 

Nick's sarcasm aside, he has a point, and it has to do with some of the flavor 
text surrounding your model (for geeks of the wrong variety to know what flavor 
text is, see: http://en.wikipedia.org/wiki/Flavor_text). If I can take a shot 
at identifying the problem:

Rather than looking at 'fitness' as if it were a unified trait, you have 
created a model that needs some mutli-stage selection language (the better term 
escapes me at the moment). The reality is that what makes a 'fit' sperm is not 
necessarily what makes a 'fit' organism. To fix the flavor text of your model, 
you would need to explicitly recognize that (if the sperm sort, then) the sperm 
are going to sort based on a similarity in the genes that 'build' the sperm. 
Their sorting will be completely independent of all the other genes, or of any 
role that the sperm-building genes might later play as body-building genes. 
Ignoring chromosomal linkages (which you shouldn't), two sperm could be 
identical on all the genes important for building sperm, but completely 
different in terms of all other genes. 

Your model would thus al! low a much clearer test of the prediction that sperm 
identify each other in some way. It does so because it provides a vastly 
improved predicted relatedness due to chance. GIVEN: We would expect sperm to 
cluster along the race track based on the similarity of certain, specifiable 
genes. MODEL: If we know the genes important for building sperm, we can model 
the expected relatedness of sperms within a cluster. IF: Sperm are implementing 
some weird sort of kin selection mechanism - THEN: we would expect the 
relatedness to be significantly larger that what our model predicts. 

Any help?

Eric


On Sat, Mar 27, 2010 01:36 PM, "Nicholas Thompson" <[email protected]> 
wrote:

Hugh, Even if it has nothing to do with sperm it is a nifty model.  There is an 
idea lurking here that i dont know whether it plays a covert
role in your thinking or not, but what about the fate of a 
"genefur"peletonizing.  My email program is misbehaving and my computer is 
about to crash so I wontsay more, now.  Nick 
Nicholas S. ThompsonEmeritus Professor of Psychology and Ethology, Clark 
University 
([email protected])http://home.earthlink.net/~nickthompson/naturaldesigns/
http://www.cusf.org [City University of Santa Fe]> [Original Message]> From: 
Hugh Trenchard <[email protected]>
> To: <[email protected]>; The Friday Morning AppliedComplexityCoffee 
> Group <[email protected]>
> Date: 3/27/2010 10:54:41 AM> Subject: Re: [FRIAM] Sperm pelotons; article in 
> Nature>> Thanks for taking a peek at my post. Great que!
 stions, and they help me to > see how/where my descriptions can be 
clarified.>> On the paradox part - that is one of the really interesting 
features of a > peloton: the energy savings effect of drafting narrows the 
range of
fitness > between the strongest and weakest riders.  In contrast, think of a 
packof > runners of varying fitness levels.  There is negligible drafting 
effect - > there is some, esp if running into a headwind, but overall it's small
enough > that it can be ignored for this illustration.  Say there are 50 
runners,all > separated incrementally by 1% difference in fitness; say they run 
acouple > of miles. If they all start off slowly at say the max speed of the
slowest > runner, they can all run in a big group, separated only by 
enoughdistance > between them to keep them from kicking and elbowing each 
other.  As they > pick up speed, the gr!
 oup thins into a line and are separatedincrementally &!
 gt; by d
istances that correspond to their differences in fitness.  In thespace > of two 
miles, they all finish individually in a single long lineaccording > to their 
fitness, and it can be predicted accurately where runners will 
> finish if you know their starting levels of fitness.>> This is not the case 
> with a peloton.  For example at 25mph, riders cansave > at least 25% by 
> drafting (approx savings 1%/mph) - all the
riders who are > within 25% fitness of the fastest rider can ride together even 
at the max > speed of the strongest rider.   So their fitness levels are 
effectively > narrowed, and they can all finish together as a group (ie. 
globally
coupled > by finishing within drafting range of each other), and so theparadox. 
Part > of the paradox is also that, while fitness levels are 
effectivelynarrowed > by drafting, it means, conversely, that a broader range 
of fitn!
 ess levels > can ride together in a group, which maybe isn't something that is 
clearfrom > my initial post (though it is certainly implied).  Also, thereare 
other > important things going on in a peloton which precede the sorting of
riders > into groups, some of which I see I do need to clarify to make my model 
> clearer.>> Of these, particularly important are 1) the occurrence of 
pelotonrotations, > and 2) points of instability when riders are forced into 
positions
where > they do not have optimal drafting advantage. Below a certain output > 
threshold, when all drafting riders in a group are sufficiently below max > 
output, riders have sufficient energy to shift relative positions within
the > peloton, and in this particular phase, a self-organized rotationalpattern 
> forms whereby riders advance up the peripheries and riders are forced > 
backward down!
  the middle of the peloton. However, instabilities in pace > oc
cur along the way, caused by such things as course obstacles, hills(when > 
lower speeds reduce drafting advantage, but when output may be at leastas > 
high), cross-winds, narrowing of the course, or short anaerobic bursts
among > riders at the front - all of which cause splits (i.e. PDR>1 atthese > 
points).   In a competitive situation, instabilities occur frequently > causing 
temporary splits at various places in the peloton, but these are 
> often closed when the cause of the instability has ceased.  Sorting thus > 
> occurs according to some combination of peloton rotations in whichstronger > 
> riders are able to get to the front and the continual splits in the
peloton > at points of instability and reintegrations. I would need to develop 
the > model some more to show this as an equation (though I touch on abasic > 
version of it in my Appendix).>
> For sperm, I!
  don't know what the initial state of the aggregates are when > they begin 
their travels, but I am assuming (perhaps quiteincorrectly), > that there is 
some initial phase in which they are mixed (such as
cyclists > on a starting line), and then they begin to sort as they 
increasespeed. > During the process, they aggregate like cyclists because a 
broader rangeof > fitness levels can aggregate together (causing an effective 
narrowing
of > fitness). As in a peloton, there are  instabilities that allow for > 
continuous re-adjustments to the relative positions of all the sperm, and > 
over time they begin to sort into groups where each have fitness levels 
> closer to the average.  This is my hypothesis, at least.>> On the second last 
> question, there would be an advantage to sperm amongthe > first pulse 
> aggregation if all the pulsed aggregations do not mix first,
but &g!
 t; the principles apply to each aggregation.  However, I don't!
  know wh
ether > there is some other process of mixing first among all the pulses of 
sperm > aggregations before they begin traveling (I imagine I could find 
theanswer > in the literature), in which case there could easily be a sperm in, 
say, > the second pulse, which could end up impregnating the egg.>> I don't 
know about the kamikaze sperm - I'll leave that one for now!  ButI > do 
remember that scene from the movie as clear as day!
>> In any event, my aim is really to ask the question - are there energeticand 
>> > coupling principles that allow sperm to end up in groups which otherwise > 
>> appear to have occurred because genetically related sperm can somehow 
> identify each other?   I am really only suggesting the existence of some > 
> dynamics of the sperm aggregations that could be studied for, which don't > 
> yet appear to have been addressed.>> Hugh
>
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