| Literature DB >> 18715511 |
Eric A Hoffman1, Jennifer L Kovacs, Michael A D Goodisman.
Abstract
BACKGROUND: Social insects dominate ecological communities because of their sophisticated group behaviors. However, the intricate behaviors of social insects may be exploited by social parasites, which manipulate insect societies for their own benefit. Interactions between social parasites and their hosts lead to unusual coevolutionary dynamics that ultimately affect the breeding systems and population structures of both species. This study represents one of the first attempts to understand the population and colony genetic structure of a parasite and its host in a social wasp system.Entities:
Mesh:
Year: 2008 PMID: 18715511 PMCID: PMC2533669 DOI: 10.1186/1471-2148-8-239
Source DB: PubMed Journal: BMC Evol Biol ISSN: 1471-2148 Impact factor: 3.260
Figure 1Distribution of The range of the parasite V. squamosa largely overlaps with that of the host V. maculifrons (adapted from [17]).
Figure 2Locations of 37 All samples were obtained from the state of Georgia (inset, see also Fig. 1). Lines denote county boundaries within the state. The greatest pairwise distance between colonies exceeds 120 km and colonies of both species were sampled from overlapping regions.
Variability metrics of microsatellite loci in V. maculifrons (Vmac) and V. squamosa (Vsqu).
| Range (bp)f | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Locus | ||||||||||||
| LIST2003 | 259 | 107 | 31 | 17 | 20.319 | 14.865 | 17.642 | 8.375 | 0.943 | 0.889 | 185–224 | 173–204 |
| LIST2004 | 253 | 113 | 20 | 8 | 13.073 | 6.623 | 8.691 | 4.155 | 0.885 | 0.766 | 147–181 | 119–149 |
| LIST2013 | 256 | 107 | 20 | 18 | 11.839 | 13.911 | 7.241 | 6.357 | 0.862 | 0.850 | 184–213 | 173–201 |
| LIST2019 | 224 | 108 | 11 | 4 | 8.373 | 3.711 | 3.907 | 1.534 | 0.744 | 0.352 | 126–152 | 122–132 |
| LIST2020 | 256 | 110 | 19 | 19 | 12.276 | 15.061 | 7.360 | 10.168 | 0.864 | 0.910 | 226–268 | 322–356 |
| Rufa-5 | 213 | 107 | 3 | 11 | 2.223 | 9.066 | 1.206 | 5.011 | 0.171 | 0.808 | 136–140 | 153–175 |
| VMA-3 | 219 | 77 | 16 | 14 | 12.543 | 13.389 | 9.556 | 10.420 | 0.895 | 0.916 | 260–286 | 254–282 |
| VMA-6 | 256 | 109 | 39 | 20 | 22.071 | 15.329 | 17.722 | 10.287 | 0.944 | 0.911 | 262–323 | 267–295 |
aNumber of genes sampled obtained from the inferred genotypes of females and males. Unequal sample sizes among loci within each species result from missing or incomplete data.
bTotal number of observed alleles.
cNumber of alleles that would have been observed if only 50 genes had been sampled.
dEffective number of alleles.
eExpected heterozygosity.
fRange in allele size.
Figure 3Relationship between genetic differentiation and geographic distance of workers sampled from There was no evidence for genetic isolation by distance in these species over this range.
Figure 4Distribution of (A) observed mate number and (B) effective mate number ( Within each species the distribution effective mate number is reduced relative to observed mate number because of unequal sperm use by queens. The distributions of observed mate number differed significantly from a Gaussian distribution in both species due to an excess of queens mated to intermediate numbers of males.
Relatedness (± SEM) estimates for V. maculifrons and V. squamosa.
| Relatedness | V. maculifrons | V. squamosa |
|---|---|---|
| Nestmate workers | 0.373 ± 0.009 *** | 0.357 ± 0.019 *** |
| Queens to their male mates | 0.014 ± 0.010 | 0.016 ± 0.020 |
| Among males mated to single queens | 0.023 ± 0.014 | 0.053 ± 0.024 * |
Estimate differs significantly from zero at the 0.05 (*) or 0.001 (***) level.
Utility of 43 microsatellite loci in V. maculifrons and V. squamosaa.
| Locus | ||
| LIST2001 | Var | - |
| LIST2002 | Var | - |
| LIST2003 | Var | Var |
| LIST2004 | Var | Var |
| LIST2006 | Var | +++ |
| LIST2007 | Var | Var |
| LIST2008 | Var | Var |
| LIST2009 | +++ | +++ |
| LIST2010 | Var | +++ |
| LIST2011 | - | - |
| LIST2012 | - | - |
| LIST2013 | Var | Var |
| LIST2014 | - | - |
| LIST2015 | Var | Var |
| LIST2016 | Var | Var |
| LIST2017 | Var | - |
| LIST2018 | - | - |
| LIST2019 | Var | Var |
| LIST2020 | Var | Var |
| Rufa 1 | - | - |
| Rufa 2 | Var | Var |
| Rufa 3 | +++ | Var |
| Rufa 4 | - | - |
| Rufa 5 | Var | Var |
| Rufa 6 | - | - |
| Rufa 7 | +++ | +++ |
| Rufa 8 | - | - |
| Rufa 9 | - | Var |
| Rufa 10 | - | - |
| Rufa 11 | Var | +++ |
| Rufa 12 | Var | Var |
| Rufa 13 | - | Var |
| Rufa 14 | - | +++ |
| Rufa 15 | Var | Var |
| Rufa 16 | - | - |
| Rufa 17 | +++ | Var |
| Rufa 18 | Var | Var |
| Rufa 19 | Var | +++ |
| VMA-3 | Var | Var |
| VMA-4 | - | - |
| VMA-6 | Var | Var |
| VMA 7 | +++ | +++ |
| VMA-8 | Var | - |
aDesignations indicate that a particular locus failed to PCR-amplify (-), PCR-amplified but was not variable (+++), or both PCR-amplified and was variable (VAR). Variability was assessed from visualization of alleles via agarose gel electrophoresis.