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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>

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