Volume 6, Spring 2008 - Saddleback College
Volume 6, Spring 2008 - Saddleback College
Volume 6, Spring 2008 - Saddleback College
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Fall 2007 Biology 3A Abstracts<br />
VCO 2 /VO 2 = 1.0 during the oxidation of carbohydrates<br />
(Suarez, Lighton, Joos, Roberts, & Harrison, 1996) as<br />
illustrated from the balanced chemical equation:<br />
C 6 H 12 O 6 + 6O 2 6CO 2 + 6H 2 O<br />
Masses of eight roaches were taken before<br />
each test proceeded to make body mass comparable to<br />
metabolic rate for three variables: room temperature,<br />
heat, and cold-induced environments. Conditions were<br />
kept similar under each test, such as leaving the<br />
roaches exposed to light to deter them from changing<br />
basal to resting metabolism, where the MR would be<br />
lower in the latter.<br />
The average metabolic rates from each of the<br />
separate temperature trials were found to have a<br />
combined p-value that is lower than each of the pairs.<br />
There are no significant differences (p-values > 0.05)<br />
between any of the three variables. A large p-value<br />
indicates the difference in results probably happened<br />
by chance and that the hypothesis is not accepted. The<br />
null hypothesis stating there is no association of<br />
temperature on metabolic rate is considered valid, and<br />
the alternative hypothesis stating there is a significant<br />
difference between the MRs of the three variables is<br />
rejected. Therefore, temperature and MR of G.<br />
portentosa are independent.<br />
A possible reasoning for this result is due to the fact<br />
that cockroaches are homeothermic ectotherms,<br />
allowing the roaches to change their body temperature<br />
and better adjust to the environment that they are<br />
placed in. Their ability to adapt to a diversity of<br />
conditions may be attributed to the millions of years of<br />
evolution and being selected to new environments.<br />
Though there is no significant association<br />
between temperature and MR, R 2 values of the graphs<br />
display a relatively strong correlation (average <br />
0.9556) between the concentration of CO 2 and time,<br />
demonstrating a pattern where CO 2 and time is directly<br />
related: over time, CO 2 production increases within the<br />
trials of all three temperatures though MRs remains<br />
constant (Figure 3).<br />
Possible sources of error may include short<br />
time frames of data collection, a small sample size, and<br />
faulty equipment setup. The sample size tested was<br />
only 8 cockroaches while a larger sample size would<br />
have given a better understanding of the species as a<br />
whole. The test was conducted for a 15-25 minute time<br />
frame; the short breadth of this trail period may not<br />
have given the subjects enough time to acclimate to the<br />
surroundings and thus give inaccurate readings. During<br />
the high temperature trial, two separate incubators were<br />
used; the second had a less precise way of controlling<br />
the temperature which could have lead to inconsistent<br />
temperature conditions. Also one of the Xplorer GLX<br />
CO 2 detectors went into power-saving mode after a<br />
short period and shut off before the completion of<br />
timed trials, making the sample size of CO 2 production<br />
smaller than it should have been. An undersized<br />
amount of data collection could have lead to a less<br />
precise mean MR for the entire group for that trial.<br />
Another possibility is that during testing, a CO 2 sensor<br />
probe may not have been sealed completely to the<br />
container, remaining slightly ajar as to allow a higher<br />
concentration of CO 2 produced by a roach in the<br />
chamber to diffuse out into the surroundings.<br />
Studying insect metabolism gives a stronger<br />
understanding of the Kingdom Animalia and more<br />
specifically the subphylum Insecta. This information<br />
can be used in future experiments if the subject chosen<br />
is cockroaches, but tested under a separate variable<br />
instead of temperature. In addition, it could give<br />
examples of small organisms’ metabolic rates and to<br />
see if their results are within reasonable parameters or<br />
not.<br />
Literature Cited<br />
Dudley, R. (2000). The biomechanics of insect flight:<br />
form, function, evolution. Princeton University Press.<br />
Gillooly, J.F. (2001). Effects of size and temperature<br />
on metabolic rate. Science 293. 2248.<br />
Hails, C.J. (1983). The metabolic rate of tropical birds.<br />
Condor 85. 61-65.<br />
Mueller, P. & Diamond, J. (2001). Physiology.<br />
Metabolic rate and environmental productivity: Wellprovisioned<br />
animals evolved to run and idle fast.<br />
Proceedings of the National Academy of Sciences of<br />
the United State of America, Vol. 98, No. 22. 12550-<br />
12554.<br />
Suarez, R.K., Lighton, J.R.B., Joos, B., Roberts, S.P.,<br />
& Harrison, J.F. (1996). Physiology. Energy<br />
metabolism, enzymatic flux capacities, and metabolic<br />
flux rates in flying honeybees. Proc. Natl. Acad. Sci.<br />
USA, Vol. 93. 12616-12620.<br />
Weins, A. & Gilbert, L. (1995). Biological sciences.<br />
Regulation of cockroach fat body metabolism by the<br />
Corpus Cardiacum in vitro. Science 29, Vol. 150, No.<br />
3969. 614-615.<br />
The Effect of Creatine Monohydrate on the Run Time of Sceloporus occidentalis<br />
Dayana Vera and Michael Moeller<br />
47<br />
<strong>Saddleback</strong> Journal of Biology<br />
<strong>Spring</strong> <strong>2008</strong>