Morimoto, T., Kojima, Y., Toki, T., Komeda,
Y., Yoshiyama, M., Kimura, K., Nirasawa, K. & Kadowaki, T. 2011. The
habitat disruption induces immune-suppression and oxidative stress in honey
bees. Ecology and Evolution 1(2):
201-217.
In their 2011 study, Morimoto et
al. demonstrated the effects of long term pollination for agricultural purposes
on honey bee hive health. These
domesticated honey bees are kept within a synthetic ecosystem of a greenhouse
containing various flowering crop plants including strawberries, watermelons,
and eggplants. The status of worker bees
within the hive is a prime indicator of the health of the entire colony. Honey bee hives are susceptible to various
viruses, bacteria, pesticides, and other pathogens. Under conditions of limited spatial
availability like greenhouses, worker bees often die earlier than in a natural
setting which could be correlating to higher instances of infection by various
pathogens. Not only are bees more prone
to infection, but Morimoto et al. 2011 hypothesize distinct genetic changes
will occur that can be demonstrated via microarray. If the worker bees cannot remain vital, the
colony will also suffer and eventually collapse. Although these honey bees exist in a limited
space in Japan, the 2011 study by Morimoto et al. is applicable to domesticated
honey bee use for any agricultural pollination.
Morimoto et al. 2011 set up four
different test hives in various locations within greenhouses that contained
either strawberries or eggplants. These
test hives were allowed to persist for more than five months while extensive
testing on environmental condition and individual honey bees was performed. Samples were collected every two weeks, and
worker bees were harvested in order to perform DNA microarray and quantitative
RT-PCR analyses (defined below). The colonies were weighed
and assessed for health at each of the two week intervals. In order to test for consistency, four
additional hives were tested the following year following the same methodology.
Over the course of the
experiments, several significant effects were observed within the
colonies. Among all four colonies,
weight loss (entire colony weight) was measured to be from 30-40% or more. The age and make-up of the fifty, randomly
selected worker bees complicated the genetic analyses in the study, but
significant results were still obtained.
Using a principle component analysis (PCA), Morimoto et al. 2011 were
able to analyze the more than 200,000 data points. Compared to bees in eggplant greenhouses,
bees in strawberry greenhouses exhibited significantly higher differential gene
expression. These expression levels also
increased in variability at later collection dates as the colonies persisted
and aged. However, the later data points
tended to become synonymous regardless of greenhouse type. This data inferred that agricultural use of
honey bees causes the same differential expression of genes on a long term scale. These differential gene expression patterns
are also correlated with shorter longevity in worker bee lifespan and,
therefore, shorter lifespan of the entire colony. Although Japan uses primarily greenhouses for
agriculture, these results are applicable to farms that use honey bees for
pollination all over the globe.
Alternative methods and treatments for sustaining healthy honey bee
colonies must be attained before honey bees can continue to thrive as
agricultural pollinators.
Definitions
DNA microarray-
A DNA microarray is a dot matrix which allows easy identification of the
expression of various genes.
Quantitative RT-PCR- Real time polymerase chain
reactions are intended to ‘work up’ genetic sequences via the steps of
denaturing, annealing, and extension.
Scientists can take a bee’s DNA and create more of it via the use of a
primer template.