Jt. Costa et Kg. Ross, HIERARCHICAL GENETIC-STRUCTURE AND GENE FLOW IN MACROGEOGRAPHIC POPULATIONS OF THE EASTERN TENT CATERPILLAR (MALACOSOMA-AMERICANUM), Evolution, 48(4), 1994, pp. 1158-1167
Genetic structure and inferred rates of gene flow in macrogeographic p
opulations of the eastern tent caterpillar Malacosoma americanum were
analyzed at two hierarchical scales: local demes and regional subpopul
ations. Wright's F-statistics were used to estimate population genetic
structure using multilocus genotypic data generated electrophoretical
ly. Estimated values of F-ST and the distribution of private alleles w
ere then used to obtain indirect estimates of gene flow. We found mode
st, though significant, genetic structure at both spatial scales, a pa
ttern consistent with high rates of gene flow over the large distances
involved. Modest values obtained for Nei's genetic distance also sugg
ested high levels of gene flow across the range of this species, altho
ugh some gene-how restriction resulting from isolation by distance was
suggested by a positive regression of genetic distance on geographic
distance. The observed homogeneity at enzyme loci across the range of
M. americanum parallels the reported uniformity in morphology, suggest
ing a general absence of local genetic differentiation in this widely
distributed species. The genetic homogeneity observed in this wide-ran
ging insect is discussed in terms of organism-specific environmental e
xperience at different spatial scales. Some organisms occupying appare
ntly heterogeneous environments may ameliorate unsuitable local condit
ions through microhabitat selection or behavioral modification of thei
r microenvironment. This may be accomplished in M. americanum through
group shelter construction and behavioral thermoregulation, closely ty
ing thermoregulation to social biology in this species. If in this way
the tent helps produce an effectively homogeneous environment for thi
s species across its extensive range, this system may provide a unique
example of how social behavior can influence the distribution of gene
tic variation in a population.