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Crossover Interference in Saccharomyces cerevisiae Requires a TID1/RDH54- and DMC1-Dependent Pathway
Miki Shinohara1,a,b, Kazuko Sakaib, Akira Shinoharaa,b,c, and Douglas K. Bishopaa Department of Radiation and Cellular Oncology and Department of Molecular Genetics and Cell Biology, University of Chicago, Chicago, Illinois 60637,
b Department of Biology, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan
c Precursory Research for Embryonic Science and Technology, Japanese Science and Technology, Toyonaka, Osaka 560-0043, Japan
Corresponding author: Douglas K. Bishop, Cummings Life Science Center, 920 E. 58th St., Chicago, IL 60637., dbishop{at}midway.uchicago.edu (E-mail)
Communicating editor: L. S. SYMINGTON
| ABSTRACT |
|---|
Two RecA-like recombinases, Rad51 and Dmc1, function together during double-strand break (DSB)-mediated meiotic recombination to promote homologous strand invasion in the budding yeast Saccharomyces cerevisiae. Two partially redundant proteins, Rad54 and Tid1/Rdh54, act as recombinase accessory factors. Here, tetrad analysis shows that mutants lacking Tid1 form four-viable-spore tetrads with levels of interhomolog crossover (CO) and noncrossover recombination similar to, or slightly greater than, those in wild type. Importantly, tid1 mutants show a marked defect in crossover interference, a mechanism that distributes crossover events nonrandomly along chromosomes during meiosis. Previous work showed that dmc1
mutants are strongly defective in strand invasion and meiotic progression and that these defects can be partially suppressed by increasing the copy number of RAD54. Tetrad analysis is used to show that meiotic recombination in RAD54-suppressed dmc1
cells is similar to that in tid1; the frequency of COs and gene conversions is near normal, but crossover interference is defective. These results support the proposal that crossover interference acts at the strand invasion stage of recombination.
MOST recombination events in budding yeast are initiated by enzymatic formation of double-strand breaks (DSBs). The pair of DNA ends formed by DSBs is processed to form single-stranded DNA (ssDNA) tails. Relatives of bacterial RecA protein act as "recombinases." Recombinases assemble on ssDNA and promote invasion of ssDNA into the homologous DNA duplex. Two recombinases, Rad51 and Dmc1, provide strand invasion activity during meiosis (reviewed in ![]()
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Strand invasion forms stretches of heteroduplex DNA that connect the broken chromatid to an unbroken homologous chromatid. Heteroduplex-containing connections between chromatids are referred to as homologous joint molecules (JMs). JMs are eventually resolved to yield two types of recombinants, crossovers (COs) and noncrossovers (NCOs). COs play a critical role in meiosis that is not played by NCOs (reviewed in ![]()
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COs are not randomly distributed along chromosomes. The distribution is such that the probability of COs occurring close to one another is lower than expected if CO events occurred independently of one another (![]()
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The mechanism that regulates CO distribution in meiosis is not understood although several models have been proposed to account for it. Because the mechanism of interference requires that the outcome of one recombination event be influenced by a second nearby event, it can be thought of as involving three types of functions. First, sensors of COs or pre-CO intermediates trigger a signal. Second, transducers relay the signal from the triggering event to the target event. Third, effectors act to ensure that target events form NCOs rather than COs. Most models for interference focus on the mechanism of signal transduction rather than the mechanism of triggering and effector function. One group of hypotheses for interference signaling (![]()
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Several Saccharomyces cerevisiae genes have been shown to be important for crossover interference (![]()
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Because early DSB recombination models account for formation of CO and NCO recombinants as resulting from alternative modes of Holliday junction resolution (![]()
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Here we show that crossover interference is defective in tid1
mutant strains. We also show that the recombination that occurs in dmc1
strains overexpressing RAD54 lacks interference. These results support the proposal that crossover interference involves regulation of the strand invasion step of recombination. We consider several explanations for the mechanistic relationship between strand invasion and crossover interference, including one in which the crossover interference signal acts to block invasion of one of the two ends created by a meiotic DSB.
| MATERIALS AND METHODS |
|---|
Strains and plasmids:
The strains used in this study are listed in Table 1. S2921 (MATa leu2::hisG can1R URA3 HOM3 TRP2 lys2 ho::LYS2; ![]()
leu2::hisG CAN1 ura3 hom3-10 trp2 lys2 ho::LYS2) are congenic to SK-1. The tid1 mutation (tid1::LEU2) was backcrossed 11 times to the isogenic derivatives of SK-1. HIS4::LEU2 is a synthetic recombination hotspot (![]()
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Plasmid YCp-KanMX4-TID1 (pMS139) is a derivative of YCplac22 (![]()
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Genetic analysis:
Previously described genetic procedures and media were used (![]()
For analysis of interference and map distances, all tetrads showing non-Mendelian segregation of any markers were excluded from analysis. Interference values are expressed as the ratio of nonparental ditypes (NPDs) observed (NPDob) to NPDs expected (NPDex). The fraction of tetrads expected to be NPDs was determined from the Papazian equation: NPDex = 1/2[1 - T - (1 - 3T/2)2/3] (![]()
2 and
2 coincidence tests. To measure coincident double crossover in adjacent intervals, frequencies of tetrads with recombination in each of the two intervals are determined by summing T's and NPDs for that interval and dividing by total tetrads. The expected frequency of coincident recombination is given by the product of the two single-interval frequencies (![]()
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Tetrads showing 3:1 segregation of more than one marker or 4:0 segregation of at least one marker were presumed false and deleted from the data set prior to calculation of map distances and interference values. The method described in the Appendix was used to estimate the contribution of false tetrads to the percentage of 3:1 tetrads. This allowed estimation of the "true" conversion frequency by subtracting the frequency estimated to have resulted from false tetrads from the observed frequency.
Cytology:
Spread nuclei were stained with anti-Zip1 antibody (a generous gift from Dr. G. S. Roeder) and examined as described previously (![]()
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| RESULTS |
|---|
Experimental system:
Crossover interference can be detected in S. cerevisiae by phenotypic analysis of tetrads following sporulation of appropriately marked diploid strains. For this purpose we employed two systems in the efficiently sporulating SK-1 strain background. In the first system, a set of isogenic strains that contain a copy of chromosome III with four heterozygous markers, three of which are located in the vicinity of a strong recombination hotspot at the HIS4 locus, was constructed (HIS4::LEU2, Fig 1A and Fig B; ![]()
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It was possible to examine the effect of a tid1 null mutation on these three aspects of recombination without further modification of strains because homozygous tid1 mutant diploid cells produce tetrad asci, and 58% of these asci contain four viable spores (Fig 1C). It is not possible to determine the effect of a dmc1 null mutation in SK-1-derived strains without modification of the mutant strain because the mutation causes failure to repair meiotic DSB recombination intermediates and arrest in meiotic prophase via induction of a checkpoint control pathway. It is possible to suppress the DSB repair and sporulation defects of dmc1
mutations by introduction of a high-copy-number plasmid that carries the RAD54 gene (YEpRAD54; ![]()
-YEpRAD54 strains, the use of a different 2µ plasmid vector improved the level of spore viability to 50% with 23% of asci having four viable spores (Fig 1C). The viability pattern among dmc1
-YEpRAD54 tetrads differs from that observed among tid1 tetrads. In dmc1
-YEpRAD54, tetrads with two viable spores outnumbered those with three viable spores, suggesting that meiosis I nondisjunction is a major factor underlying the low viability of meiotic products. In tid1, the pattern of viability is that expected if occasional failure to resolve lethal recombination intermediates limits the viability of meiotic products. The relatively high spore viability promoted by the new YEpRAD54 plasmid (pMS182) made tetrad analysis in a dmc1
/dmc1
strain feasible. To distinguish effects of the dmc1
mutation from those caused by the YEpRAD54 plasmid, an isogenic DMC1/DMC1 strain carrying the YEpRAD54 plasmid was examined in parallel.
Interference can be detected for an interval defined by two linked markers by the ratio of the three different types of tetrads, parental ditypes (PDs), tetratypes (T's), and NPDs. NPD tetrads can arise only via two reciprocal crossover events involving all chromatids present at the time of meiotic recombination. This class is therefore diagnostic for double crossover (DCO) events in a given interval. Tetratypes often arise via single COs, but can also arise from DCOs that involve only three of the four chromatids present at the time of recombination. The expected frequency of NPDs can be calculated from the observed frequency of T's (![]()
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Interference is defective in tid1 and dmc1
-YEpRAD54 strains:
Tetrads from wild-type (i.e., DMC1 TID1) strains were examined for crossover interference by calculation of the ratio of NPDob/NPDexp. The values obtained were between 0.18 and 0.5 in agreement with previously published results for these markers (Table 2; ![]()
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Interference was also examined in a dmc1
-YEpRAD54 strain carrying markers on chromosome III (see Table 2). No interference was detected for the three marked intervals examined: the ratio of NPDob to NPDexp is close to 1 in all three cases. The YEpRAD54 plasmid was not responsible for the loss of interference observed in the dmc1
-YEpRAD54 strain; wild-type levels of interference were seen in a DMC1-YEpRAD54 control strain.
Data from strains carrying heterozygosities in chromosome III were also analyzed by the three-factor cross method (Table 3). Interference was readily detected as a significant difference between observed and expected frequencies of adjacent COs in the two TID1 DMC1 control strains, but not in the tid1 or dmc1
-YEpRAD54 mutant strain. Together the results of tetrad analysis indicate that both the tid1 and the dmc1
-YEpRAD54 strains are defective in crossover interference.
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tid1 and dmc1
-YEpRAD54 strains produce tetrads with near-normal numbers of interhomolog recombinants:
The frequency of COs can be measured using the standard genetic mapping equation (![]()
-YEpRAD54 strains (see Table 2). Three of the six intervals examined in tid1 strains showed no significant difference with TID1 controls while the remaining three intervals showed only modest differences; the HOM3-TRP2 and LEU2-MAT intervals showed 2.3- and 1.3-fold increases in map distance, respectively, while the URA3-LEU2 interval showed a 1.5-fold decrease (P < 0.01). In the case of dmc1
-YEpRAD54, map distances were not significantly different from those in the control strain for LEU2-MAT and URA-MAT while the URA3-LEU2 interval was 1.3-fold longer (P = 0.01). Overall the mutants examined displayed very modest alterations in CO frequency for some intervals and no significant changes in others.
The frequency of 3:1 and 1:3 segregation of markers (gene conversion or non-Mendelian segregation) was estimated in the same data set used to analyze reciprocal crossovers (Table 4). Obtaining these estimates involved correction for the contribution of false tetrads to the observed number of 3:1 tetrads (see the Appendix for a description of the method used to make this correction). In the case of the tid1 chromosome V experiment, data obtained from the two TID1+ control strains were found to be statistically indistinguishable from one another. These two data sets were therefore combined before comparison to data from the tid1 mutant strain. The frequency of 3:1 tetrads was about twofold higher in tid1 compared to the combined TID1+ control for both CAN1 and TRP2 and these differences were significant on the basis of Fisher's exact test (P < 0.05). The tid1 mutant also showed higher 3:1 frequency for the URA3 locus on chromosome V, but this difference was not significant once the contribution of false tetrads was taken into account, nor was the difference at the HOM3 locus significant (with or without correction for false tetrads). With respect to chromosome III markers, mutation of tid1 did not significantly alter conversion frequency of the hotspot proximal markers, LEU2 and URA3. Correction of the data for the contribution of false tetrads suggested that mutation of tid1 significantly increased conversion frequency at MAT from 0.2 to 1.2%. However, the large correction factor required to estimate MAT conversion frequency in the chromosome III-marked TID1+ strain makes this measurement less reliable than others (see the Appendix for further discussion).
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Comparison of data from the dmc1
-YEpRAD54 strain with data from the DMC1-YEpRAD54 control revealed a modest hyperconversion effect at LEU2 (1.7-fold), but no significant difference in 3:1 frequency was detected at URA3 or MAT. Thus for both tid1 and dmc1
-YEpRAD54, some markers showed modest increases in conversion frequency relative to wild type while others were unaffected.
The hyperconversion effects could result from an increase in the average length of conversion tracts, an increase in the number of conversion events, or an increase in the use of homologs over sisters as recombination partners. The increase in conversion tract lengths seems most likely in light of the fact that DSBs undergo more extensive ssDNA resection in tid1 than in wild type (![]()
-YEpRAD54 strains was not measured.
The tid1 mutant accumulates Zip1-containing structures with normal appearance:
Mutation of dmc1 was previously shown to cause a defect in SC assembly (![]()
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50% at 5 hr in tid1 as compared to a peak of 15% at 3 hr in TID1+. Time course data can be used to construct cumulative curves that define the time when cells in a culture enter or exit a stage of interest (Fig 2D; ![]()
1 hr. In addition, exit from the category 3 stage was delayed 3 hr in tid1 relative to wild type. Thus, the tid1 mutant showed a modest delay in elongation of Zip1 structures and a more pronounced delay in Zip1 disappearance.
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| DISCUSSION |
|---|
Analysis of map distances and gene conversion frequencies in tid1 and dmc1
-YEpRAD54 strains indicates that interference can be disrupted without a substantial change in CO frequency or in the ratio of COs to NCOs. A previous study of the ndj1/tam1 mutant also showed reduced interference without a reduction in COs (![]()
-YEpRAD54) are in marked contrast to results obtained with the zip1 group of interference mutants (zip1, mer3, and msh4; ![]()
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-YEpRAD54 strains are more specific than those of the zip1 group in that CO frequency is closer to normal.
The use of mutant analysis to determine the in vivo function of recombination proteins is often complicated by the possibility that the mechanism that forms recombinants in a particular mutant may differ in multiple aspects from the mechanism that forms recombinants in wild type. In such cases, a specific difference between the properties of recombination in wild type and mutant may reflect only indirectly the function of the gene in question. Given that interhomolog recombination is quite efficient (although slightly delayed) in the tid1 mutant, there is little reason to suppose that the recombination mechanism operating in the mutant differs dramatically from that in wild type (except that Tid1 does not contribute to the process). However, suppression of dmc1 by YEpRAD54 could activate a pathway that is quite different from the normal DMC1-dependent process. While this caveat should be kept in mind, we argue that it is quite likely that the mechanism underlying the interference defect in tid1 mutants is related to that underlying the defect in dmc1
-YEpRAD54. This is because Tid1 is a functional partner of Dmc1 and because Tid1, Dmc1, and Rad54 are all known to promote strand invasion. In the discussion that follows we examine the significance of a functional connection between homologous strand invasion and CO interference. The tid1 mutant data are viewed as the primary evidence for this connection and the dmc1
-YEpRAD54 data are viewed as providing secondary support.
Possible interactions between strand invasion and interference:
The mechanism through which strand exchange functions contribute to crossover interference remains to be determined. Genetic and biochemical data indicate both Dmc1 and Tid1 act directly at sites of recombination by promoting the strand invasion stage of recombination (![]()
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Assembly of the SC has been proposed to contribute to interference by providing a means for signaling along chromosomes. Evidence consistent with this view includes the fact that two species of fungi that do not undergo synapsis also lack interference (reviewed in ![]()
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While the SC central region is unlikely to be required for interference, it is possible that the delays in synapsis seen in dmc1 and tid1 mutants are indirect consequences of defects in recombination-dependent chromosome structures. Such structural defects could, in turn, underlie the interference defects. For example, ![]()
TID1 and DMC1 could also promote interference by acting as effectors of interference signals; i.e., they may act to ensure that recombination events near COs give rise to NCOs. Recent findings are relevant to this possibility. First, invasion of one of the two ends created by meiotic DSBs often occurs well before invasion of the second end in wild-type cells (![]()
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To account for specific inhibition of only one of two partner DNA ends, we propose that the sensitivity of one end to the interference signal depends on proper assembly of a Rad51-Dmc1 co-complex. On the basis of cytological observations, we previously hypothesized that the co-complex consists of a Rad51 homo-oligomer on one DNA end and a Dmc1 homo-oligomer on the partner end (Fig 3; ![]()
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-YEpRAD54 could result from assembly of Rad51 on both ends created by a DSB.
Dmc1 regulation:
In the SK-1 strain background used in this study, DMC1 is strongly required for the conversion of DSBs to JMs (![]()
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cells that are allowed to complete meiosis (![]()
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Previous studies indicated that DMC1 might regulate recombination events by promoting the choice of a homologous chromatid over a sister chromatid (![]()
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There are several explanations for the finding that the frequency of interhomolog recombination is not reduced among four-viable-spore tetrads produced by dmc1
-YEpRAD54 diploids. First, selection of tetrads with four viable spores may have resulted in selection of a subpopulation of cells that were particularly successful at negotiating the meiotic program in the absence of one of their recombination genes. Such selection could, in principle, obscure reductions in interhomolog recombination frequency in the total population of meiotic cells. Selection of four-viable-spore tetrads is somewhat unlikely to account for the failure to detect reductions in CO recombination in tid1 and dmc1
-YEpRAD54 mutants because such reductions have been detected for three other interference mutants (![]()
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-YEpRAD54 cells partition into two subpopulations during meiosis, one being defective in completing interhomolog but not intersister recombination and a second that completes interhomolog recombination and goes on to form tetrads. A second possibility is that DMC1 is needed for efficient interhomolog partner choice, but high copy numbers of RAD54 substitute for this function. This explanation also seems unlikely in light of other observations suggesting that RAD54 favors intersister, rather than interhomolog, recombination (![]()
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| FOOTNOTES |
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1 Present address: Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan. ![]()
| ACKNOWLEDGMENTS |
|---|
We thank Shirleen Roeder for generously providing strains and antibodies. We are grateful to John Game, Shelly Esposito, David Kaback, and Nancy Kleckner for helpful discussions. We also thank Anne Villeneuve for critical reading of an early version of this manuscript and Ted Karrison for advice on data analysis. This work was supported by NIGMS grant GM50936 to D.K.B.; by the Japanese Ministry of Education, Culture, Sports, Science, and Technology to A.S.; and by a Human Frontier Science Program grant to A.S. and D.K.B. M.S. was supported by postdoctoral and long-term fellowships from the Human Frontier Science Program.
Manuscript received October 9, 2002; Accepted for publication January 2, 2003.
| APPENDIX |
|---|
We present the method used for estimating the contribution of false tetrads to the data presented above. The method employs the frequency of diagnostically false tetrads combined with the predicted distribution of false tetrad genotypes. It allows correction for the effect of false tetrads on gene conversion frequency estimates.
About 1.8% of the 9121 tetrads analyzed in this work were 4:0 for at least one marker or 3:1 for at least two markers. The two unusual tetrad classes are referred to as 4:0 tetrads and m3:1 tetrads, respectively. Tetrads showing 3:1 for a single marker are referred to as s3:1 tetrads. Analysis of heterozygous markers on different chromosomes showed a high degree of association between m3:1 on one chromosome and 3:1 of a marker on a second chromosome. This high association of non-Mendelian behavior of markers on different chromosomes is expected if spores from different asci associate, forming false tetrads prior to or during dissection. In the analysis below we assume that true coconversion of the markers used in the study occurs rarely if at all and we take m3:1 and 4:0 tetrads as diagnostically false.
Given that the frequency of diagnostically false tetrads was similar to expected gene conversion frequencies, it was of interest to determine the influence of false tetrads on calculated values of gene conversion frequency. We also wanted to show that false tetrads did not make a significant contribution to calculated map distances and interference values. For this purpose it was necessary to estimate the total number of false tetrads in the experimental data and the fraction of tetrads in certain key classes that were false. The classes of interest include s3:1 tetrads as well as PDs, T's, and NTPs for each marked interval. The genotype distribution among false tetrads was simulated by manipulating the experimental data set. This approach was facilitated by the use of Mactetrad (a "macro" program written for Microsoft Excel software). Mactetrad automates analysis of linkage and non-Mendelian segregation. Two simulations were performed for each tid1 strain. The first simulation determined the array of genotypes produced by false tetrads containing two spores from one ascus and two from another (dyad-dyad false tetrads). The second simulation determined the distribution of genotypes produced by false tetrads containing three spores from one ascus plus a single spore from another ascus. The other two remaining types of false tetrads (dyad plus two monads and four monads) require association of spores from three different asci. These two types are expected to be quite rare and to contribute genotypes with a distribution very similar to that produced by dyad-dyad tetrads. We therefore use the dyad-dyad simulation to predict the distribution of all false tetrads containing no more than two spores from a single ascus. Such false tetrads are referred to hereafter as f2's. False tetrads containing three spores from the same ascus are referred to as f3's. The simulations were done by starting with a database file containing the tetrad genotype data from dissection of the strain of interest. The records of diagnostically false tetrads (4:0 and m3:1 tetrads) were deleted prior to carrying out the simulation. In each case, the f2 simulation was achieved by moving the records of the first two spores to the end of the file, thereby offsetting the genotype records by two. The f3 simulation was carried out in an equivalent manner, but with relocation of a single-spore genotype record. After rearranging the records in the manner described, the files were analyzed using the "Mark-non:2-2 Tetrads" and "Analyze Linkage" programs. The output of these programs was used to determine the fraction of simulated false tetrads displaying the various genotypes of interest.
We present the results of analysis of data from the tid1 mutant strain M622/626 as an example. This data contained the highest percentage of diagnostically false tetrads of all strains examined (5.7%). The results of the two false tetrad simulations for M622/626 are summarized in Table A1. Note that for both the f2 and f3 simulations only
70% of simulated false tetrads have genotypes that are diagnostic (i.e., 4:0 or m3:1). The remaining tetrads either are s3:1 tetrads or show 2:2 for all four markers.
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To estimate the relative contribution of the f2 and f3 types of false tetrads to the data set, we started with the frequency of 4:0 tetrads. This class is diagnostic for f2's as it occurs only in f3's in rare cases where the three spores from a true gene conversion triad contain the same allele and associate with a single spore from another tetrad that also contains the same allele. In contrast, m3:1 tetrads are frequent among both f2's and f3's. The total number of f2's in the sample (Nf2) was estimated by dividing the number of observed 4:0's (N4:0) by the fraction of f2's in the simulation that were 4:0's (
f2-4:0-sim):

With the number of f2's in hand, it is possible to determine the total number of f3's (Nf3) as follows. First, the number of m3:1 tetrads contributed by f2's (Nf2-m3:1) is determined. This number is given by the fraction of simulated f2's that are m3:1 (
f2-m3:1-sim) multiplied by Nf2:

The remaining m3:1 tetrads (60 - 20.9 = 39.1) are expected to be contributed by f3's (Nf3-m3:1). The data from the second simulation indicate that the fraction of f3's expected to be m3:1's (
f3m3:1-sim) is 0.67. This number allows calculation of the total number of f3's:

In summary, the simulations indicate that
42 tetrads in the data set are f2 tetrads and
58 are f3 tetrads.
Having determined the total number of false tetrads in the sample, the simulated distribution can be used to determine the fraction of each tetrad class contributed by false tetrads. The number of false tetrads of a given type is multiplied by the fraction of false tetrads predicted to have a genotype of interest. For example, the number of single-site 3:1's for CAN1 contributed by f2's (Nf2-s3:1CAN1) is given by

This type of calculation was done for all classes of interest and the numbers obtained for the contributions of f2's and f3's were added to give the estimated contribution of false tetrads to each class. The results for analysis of the contribution of false tetrads to PDs, T's, and NPDs are shown in Table A2. The results for single-site 3:1 segregation are shown in Table A3.
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The analysis clearly indicates that false tetrads did not make a substantial contribution to the observed number of PDs, T's, and NPDs in the experimental data; they are predicted to represent <1.5% of tetrads in each class. This is also true for the other six data sets presented. In contrast, up to 42% of s3:1 tetrads in the MSY622/626 experiment are estimated to be false. To calculate corrected frequencies of gene conversion, the number of false s3:1 tetrads was subtracted from the total number of s3:1 tetrads in the experimental data. This method was used to generate the corrected conversion frequencies shown in Table 4.
The conversion frequency correction factors generated by this method were either modest or negligible (between 0.5 and 1.0) with an exception being MAT conversion in the chromosome III-marked TID1+ strain. Because only three markers were followed in the chromosome III experiments, and because MAT is not closely linked to the other two markers, a large fraction of false tetrads (15% for f2's and 19% for f3's) from these strains are predicted to show 3:1 for MAT alone. This, combined with a relatively high frequency of false tetrads in the marked chromosome III TID1+ experiment, resulted in a correction factor of 0.15. This means that the majority of s3:1 tetrads for MAT in this experiment were false, which makes the estimate of "true" conversions less reliable than estimates from other experiments. In contrast to the situation with MAT, the correction factors calculated for LEU2 and URA3 from the same data set are quite small, 0.97 and 0.83. This is because linkage of these markers is such that >90% of false tetrads showing 3:1 for one marker also show 3:1 for the other and are thereby directly recognized as false.
It should be noted that the method described above is applicable only if most 4:0 tetrads in a data set are false rather than being true tetrads that resulted from homozygosis of one or more markers prior to induction of sporulation. Homozygosis of markers can be a consequence of mitotic recombination or of meiotic recombination if a cell undergoes meiosis prematurely (during the growth of the culture) and resulting spores of like genotype mate. Premature meiosis can be a problem in the SK-1 strain background we use. In our experiments this problem was avoided by mating haploid parents shortly before transfer of diploid cells to sporulation medium as described in MATERIALS AND METHODS. A collection of false 4:0 tetrads can be distinguished from a collection of 4:0 tetrads resulting from homozygosis because the majority of the former will tend to display 3:1 of at least one other marker while the latter will not.
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