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Genetic Parentage in Large Half-Sib Clutches: Theoretical Estimates and Empirical Appraisals
J. Andrew DeWoodya, DeEtte Walkera, and John C. Aviseaa Department of Genetics, University of Georgia, Athens, Georgia 30602
Corresponding author: J. Andrew DeWoody, Department of Genetics, Life Sciences Bldg., University of Georgia, Athens, GA 30602., dewoody{at}arches.uga.edu (E-mail)
Communicating editor: Z-B. ZENG
| ABSTRACT |
|---|
Nearly all of the 906 embryos from a male-tended nest of the sand goby (Pomatoschistus minutus) were genotyped at two hypervariable microsatellite loci to document conclusively the number of mothers and their relative genetic contributions to the nest. The true number of mothers determined by this nearly exhaustive genetic appraisal was compared to computer simulation treatments based on allele frequencies in the population, assumptions about reproductive skew, and statistical sampling strategies of progeny subsets. The "ground-truthed" appraisal and the theoretical estimates showed good agreement, indicating that for this nest a random sample of ~20 offspring would have sufficed for assessing the true number of biological parents (but not necessarily their relative genetic contributions). Also, a general dilocus matrix procedure is suggested for organizing and interpreting otherwise cumbersome data sets when extremely large numbers of full-sib and half-sib embryos from a nest are genotyped at two or more hypervariable loci.
IN many fish (and other) species, molecular analyses of genetic parentage are made challenging by exceptionally large clutch sizes and numerous extrapair fertilizations. Unlike the situation in mammals or birds, for example, a fish clutch often consists of hundreds or thousands of eggs, and embryos in a single nest may stem from several or many biological parents (![]()
Computer simulations previously have been developed that estimate the sample sizes necessary for parentage assessment from a large clutch and the number of reproductive adults contributing to a nest (![]()
To assess parentage in a large nest directly, we have genotyped at two hypervariable microsatellite loci nearly all of 906 fish embryos from a nest of the sand goby, Pomatoschistus minutus. These genetic data (plus those from an additional 40 nests assayed less exhaustively) were used to (1) elucidate maternity and paternity, including the number of biological parents and their relative contributions to an offspring pool; (2) evaluate against empirical experience the theoretical predictions described in ![]()
| MATERIALS AND METHODS |
|---|
Microsatellite analyses:
Sand goby collections and parentage analyses were conducted (A. G. JONES, D. W. WALKER, C. KVARNEMO, K. LINDSTROM and J. C. AVISE, unpublished data). To briefly summarize those findings, embryos were genotyped at two microsatellite loci (Sg1 and Sgob5), which displayed a total of 96 and 87 different alleles, respectively. From a subset of presumably unrelated adults assayed initially, these two loci yielded a combined parentage exclusion probability >0.995 (Equation 2a in ![]()
Of the 41 nests originally studied, one (TV12) was chosen here for exhaustive sampling efforts. We chose this nest because preliminary genetic analyses indicated that it was sired exclusively by one attendant male, and all progeny were heterozygous. Thus, the maternal alleles in each embryo were evident by subtraction. Each embryo thereby could be assigned a maternal "gametotype" (either an allele at one locus or a dilocus haplotype, depending on the context) that registers the gametic contribution of its mother. The minimum number of mothers contributing to a nest was apparent either by counting maternal alleles at the most polymorphic locus (e.g., ![]()
![]()
![]()
The number of embryos produced by different mothers was tallied and used to determine reproductive skew, in this case the relative maternal contributions to nest TV12. For each full-sib cohort within the nest, deviations of genotypic counts from Mendelian expectations were evaluated by chi square tests.
Rarefaction analyses:
Both analytical and resampling procedures were used to generate rarefaction curves (![]()
![]()
![]()
![]()
![]()

where H is the number of gametotypes in the nest and Ni is the number of individuals with haplotype i.
The resampling or randomization procedure for generating a rarefaction curve is analogous to bootstrapping. All genetically assayed embryos from a given nest were numbered sequentially and the first empirical appearance of each new gametotype in the list was recorded. A new random number was then assigned to each embryo, the numbers were sorted ascendingly, and again the first occurrence of each new gametotype was recorded. This process, repeated in our case 1000 times, yielded the mean number of sampled embryos required to detect all the distinct maternal gametotypes within a nest.
For example, in the empirical data set for nest TV12, in the 200th randomization trial we detected the sixth maternal allele at locus Sgob5 in the 11th sampled embryo. In trial number 201, a sixth maternal allele was detected in the 25th embryo sampled. Note that this maternal allele is not necessarily identical in state between trials but rather is the sixth different allele encountered. An accumulation of such outcomes generated each rarefaction curve by the resampling method.
Computer simulations:
A priori, we used the computer program BROOD (![]()
Similarly, we also used the programs GAMETES and HAPLOTYPES to estimate the number of females contributing to a nest (![]()
![]()
| RESULTS |
|---|
Microsatellite analyses:
Preliminary sampling suggested that sand goby nest TV12 was sired by a single male and, thus, consisted of a large collection of full-sib and half-sib progeny. Exhaustive genotyping supported this notion: all 864 embryos assayed at both loci (>95% of all embryos in nest TV12) possessed one of the expected paternal gametotypes. There was no evidence at these loci of either cuckoldry or de novo mutation (![]()
By genotyping such a large cohort of progeny, the genotypes of all contributing mothers could be reconstructed accurately (Table 1). The highly nonrandom associations among maternal alleles at the two loci show that at least three different mothers were involved (Table 1). They produced ~47, 32, and 21%, respectively, of the assayed progeny in nest TV12.
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The final entry in Table 1 (lower right corner) suggests that a fourth mother may have contributed six embryos to the nest. This evidence is puzzling, however, because only one (rather than two) maternal allele at each locus was detected in this small array of offspring. To assess the possibility of scoring errors or other anomalies, we also genotyped the embryos at a third locus (Sgob10). This did not fully resolve the puzzle, however, because in each case the maternal alleles were consistent with the genotypes of the other three known mothers (data not shown). In any event, if a fourth mother was involved, she contributed only six embryos to the nest, or 0.7% of the total.
Computer simulations and rarefaction:
A priori, the computer simulations utilizing the BROOD program (![]()
|
For the three mothers documented with regard to nest TV12, we repeated the BROOD simulations a posteriori, first using a uniform distribution of reproductive success and then using the observed values (i.e., 0.47, 0.32, and 0.21). This time, the simulations decreased the mean sample size necessary to detect all contributing mothers for that particular nest to 17 and 19 embryos, respectively (observed values shown in Fig 1, bottom; upper 95% confidence limit = 36). The GAMETES and HAPLOTYPES simulations (Fig 2) each clearly indicated that three mothers contributed to nest TV12. Indeed, the likelihood of three mothers was >40 times greater than that of four mothers, the next most probable outcome.
|
Based again on the empirical genetic data for TV12, rarefaction curves summarizing the mean sampling effort required to detect maternal gametotypes are compared in Fig 3. Note the close agreement between the rarefaction curves generated by the analytical and by the resampling methods.
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| DISCUSSION |
|---|
Empirical data:
A preliminary subsample of embryos from nest TV12 suggested that all of the progeny were sired by the nest-attendant male. However, the possibility remained that more extensive sampling might reveal a low level of fertilization thievery, especially given the high frequency of cuckoldry by sand goby males (A. G. JONES, D. W. WALKER, C. KVARNEMO, K. LINDSTROM and J. C. AVISE, unpublished data). The subsequent, near-exhaustive sampling of embryos from nest TV12 proved that the attendant male in this case was not cuckolded. This in turn facilitated the genetic maternity analysis. Most sand goby nests are known to contain eggs and embryos from several females (![]()
We have no satisfying explanation for the six genetically anomalous embryos in nest TV12 (Table 1, bottom right). De novo mutations, either arising alone (![]()
![]()
![]()
Empirical appraisal of the statistical methods:
The a priori BROOD simulations suggested that on average a random sample of ~n = 48 embryos would be necessary and sufficient to detect all maternal alleles in a half-sib progeny array of sand gobies (Fig 1, top), provided that no more than seven mothers contributed to a nest, all equally. By contrast, rarefaction analyses as applied to the empirical data for TV12 indicated that the sample size for that nest could have been considerably smaller.
The a posteriori BROOD simulations for nest TV12 (Fig 1, bottom) also indicate that the a priori BROOD estimates in that case were inflated. In the a priori simulations, we (conservatively) used a presumed maximum possible number of mothers who might have contributed to a nest, rather than the true number, which only became apparent later. When higher numbers of mothers are permitted in the simulations, more embryos per nest must be sampled (all else being equal) to ensure detection of all maternal gametes. After correcting the BROOD simulations for the true maternal number, as determined from exhaustive genetic analysis, the a posteriori estimate of the number of embryos (n
19 using the observed reproductive skew and n
17 assuming uniform maternal contributions) that would suffice as an adequate sample from nest TV12 matched closely the estimate from empirical rarefaction (n
17).
Note that this discussion pertains to the mean number of embryos to be sampled from an average nest. In practice, depending on the goals of the study, the costs and benefits of surveying additional embryos should be considered. For example, if the intent is to identify every gametotype in each nest (which might be the case in a quantitative study of meiotic drive, for example), then the more appropriate sample sizes of embryos per nest might be estimated as the upper 95% confidence interval (Fig 1), as opposed to the mean.
As mentioned previously, the BROOD simulations provisionally assume that all mothers contribute equally to the pool of embryos within a nest. For nest TV12, the observed relative contributions of the three mothers (0.47, 0.32, and 0.21) were not grossly unequal. Apparently for this reason, nearly all of the difference in the a priori vs. a posteriori sample sizes in BROOD was due to the decrease in the number of mothers in the simulations (from seven to three), rather than to the modest observed departure from a uniform distribution of female contributions to this nest. To our knowledge, there are no other reliable genetic estimates of reproductive skew in extremely large nests of externally fertilizing fishes, so clearly this is an important area for further exploration on both the empirical and theoretical fronts. If reproductive skew typically is more pronounced in most nests, empirical sample sizes needed to detect all mothers will have to be larger to ensure capture of the rarer maternal contributions. In agreement with the exhaustive empirical data (Table 1), the GAMETES and HAPLOTYPE programs both estimated that three mothers contributed to nest TV12 (Fig 2). Thus, the observed modest departure from equal maternal contributions to this nest did not bias the estimated number of mothers appreciably.
Both empirical rarefaction analyses and theoretical simulations can be used to develop appropriate strategies for genetic sampling (![]()
The BROOD approach, on the other hand, estimates mean sample sizes on the basis of many different nests. Huge numbers of nests are generated and each is sampled hundreds or thousands of times to produce confidence intervals around mean sample sizes needed to detect all parents given a specified set of polymorphic markers. The current rarefaction analyses of empirical data for the sand goby suggest, at least in this case, that the simulations perform reasonably well.
The computer simulations presented in ![]()
Matrix representations of progeny data from large nests:
When large numbers of embryos from multiple mothers are sampled from a nest at two or more hypervariable loci, data management can be cumbersome. We have found that by organizing the information into dilocus matrices of maternal allelic associations (as in Table 1), informative patterns emerge that otherwise may be less apparent.
Fig 4 illustrates the hypothetical signatures of six different genetic phenomena that can become evident when the deduced maternal gametotypes of full-sib and half-sib embryos are tabulated in this manner. The null model (Fig 4A) is that several mothers shared no alleles and contributed equally to a progeny array. Various patterns of departure from the null are shown in the other panels. For example, Fig 4B shows the expected departure from the null pattern due to the effects of two mothers having shared a marker allele at one locus. Fig 4C and Fig D, shows "orphan" genotypic entries into such a matrix that would signify the presence of late-meiotic singleton mutations and premeiotic mutational clusters (![]()
|
In principle, such representations could be extended to three (or more) loci simultaneously by plotting the gametotypic data in more than two dimensions. However, vastly larger numbers of cells would be entailed in such treatments, and, hence, genotypic counts in most cells inevitably would be too low for statistical assessment even in the largest of nests normally available for empirical studies. For these reasons, and also because two hypervariable loci normally afford more than adequate exclusionary power in assessments of genetic parentage, the dilocus representations should normally suffice.
| ACKNOWLEDGMENTS |
|---|
We thank A. Fiumera, A. Jones, C. Kvarnemo, A. Keyser, K. Lindstrom, M. Mackieowitz, B. McCoy, D. Pearse, B. Porter, and D. Promislow for their input and support. Work was funded by the Pew Foundation and the University of Georgia.
Manuscript received September 2, 1999; Accepted for publication December 23, 1999.
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