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Chromosome Size-Dependent Control of Meiotic Reciprocal Recombination in Saccharomyces cerevisiae: The Role of Crossover Interference
David B. Kabacka, Dianna Barbera, Jim Mahona, Jacque Lamba, and Jerome Youaa Department of Microbiology and Molecular Genetics, University of Medicine and Dentistry, New Jersey Medical School, Newark, New Jersey 07103
Corresponding author: David B. Kaback, Department of Microbiology and Molecular Genetics, UMDNJ-New Jersey Medical School, 185 South Orange Ave., Newark, NJ 07103-2714., kaback{at}umdnj.edu (E-mail)
Communicating editor: M. LICHTEN
| ABSTRACT |
|---|
In the yeast Saccharomyces cerevisiae, small chromosomes undergo meiotic reciprocal recombination (crossing over) at rates (centimorgans per kilobases) greater than those of large chromosomes, and recombination rates respond directly to changes in the total size of a chromosomal DNA molecule. This phenomenon, termed chromosome size-dependent control of meiotic reciprocal recombination, has been suggested to be important for ensuring that homologous chromosomes cross over during meiosis. The mechanism of this regulation was investigated by analyzing recombination in identical genetic intervals present on different size chromosomes. The results indicate that chromosome size-dependent control is due to different amounts of crossover interference. Large chromosomes have high levels of interference while small chromosomes have much lower levels of interference. A model for how crossover interference directly responds to chromosome size is presented. In addition, chromosome size-dependent control was shown to lower the frequency of homologous chromosomes that failed to undergo crossovers, suggesting that this control is an integral part of the mechanism for ensuring meiotic crossing over between homologous chromosomes.
DURING meiosis, homologous chromosomes pair, undergo reciprocal recombination (crossing over or chiasma formation), and then disjoin from each other. Failure to cross over can lead to chromosomal nondisjunction and aneuploidy (![]()
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cis-acting DNA sequences also control recombination rates. Several recombination hot spots that can induce relatively high levels of both nonreciprocal (gene conversion) and reciprocal recombination in small regions of the chromosome have been characterized (![]()
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Crossover or chiasma interference also controls recombination. Positive crossover interference is defined by the observation that double crossovers are less frequent than predicted by a random distribution of crossovers (![]()
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In this report, additional studies on chromosome size-dependent control of meiotic reciprocal recombination are described and the mechanism of this process is explored. Size-dependent control is shown to correlate with different amounts of crossover interference on different size chromosomes and a model is introduced for how interference could vary as a function of chromosome size. We also demonstrate that size-dependent control is indeed part of the mechanism for ensuring crossing over.
| MATERIALS AND METHODS |
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Growth and genetic manipulation of yeast:
Strains and their genotypes are listed in Table 1. Control strains for bisection experiments were isogenic and produced by reconstituting full-length chromosomes from bisected ones (![]()
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Recombinant DNA manipulation and yeast transformation:
Standard techniques were used for construction and bacterial amplification of all recombinant DNA plasmids (![]()
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Construction of a genetically marked 60-kb bisection chromosome:
Chromosome I was bisected by homologous recombination with a small linear centromere containing plasmid pLF273, as previously described (![]()
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Construction of a chromosome I-chromosome II reciprocal translocation:
A reciprocal translocation (Tx II) was constructed in strain YNN285 (![]()
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Insertion of the ARG4 gene to the left of MAK16:
To enable a determination of the total amount of recombination on bisection II (Table 1), a marker was placed within 2 kb of its left end. A 2.0-kb HpaI fragment from plasmid pKML1 containing the S. cerevisiae ARG4 gene (supplied by Karen Lusnak; ![]()
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Genetic calculations:
PD, NPD, and TT indicate the number of parental ditype, nonparental ditype, and tetratype asci, respectively. FDS and SDS indicate the number of asci exhibiting first and second division segregation, respectively, for a given marker. Percentage recombination expressed in centimorgans was calculated as cM =
or
(![]()
The amount of recombination between FUN30 and CEN1 was calculated from the fun30::LEU2-ADE1, fun30::LEU2-CEN1(TRP1), and CEN1(TRP1)-ADE1 data where all NPD tetrads for the fun30::LEU2-ADE1 interval were assigned to the larger fun30::LEU2-CEN1 interval as long as there were no crossover (SDS) tetrads in the ADE1-CEN1 interval. This assignment is based on the reasonable assumption that double crossovers in the ADE1-CEN1 interval are extremely rare. Indeed, only a single NPD tetrad out of a total of 372 asci was reported for the interval between ADE1 and either SPO7 or FUN24, markers that both map near to, but on the opposite side of, the chromosome I centromere (![]()
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Crossover (chiasma) interference equals 1 - C or 1 - k. The value C is the coefficient of coincidence and equals the observed fraction of NPD asci divided by the fraction of NPD asci expected from a random distribution of crossovers. The expected fraction of NPD asci was calculated using the equation,
=
[1 -
- (1 -
)2/3] (![]()
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Analysis of recombination in the database:
The Saccharomyces Genome Database (SGD; http://genome-www.stanford.edu/Saccharomyces) was searched for all gene pairs that were both physically and genetically mapped. Open reading frame (ORF) center-center distances were used for the physical distance separating each gene pair. Tetrad data for multiple crosses were summed and interference for each interval was calculated using the King calculation of the "Tetrads" program. Statistical analysis was performed using Instat (Graph Pad Software, San Diego) and JMP (SAS Institute, Inc., Cary, NC) software packages.
| RESULTS |
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Reciprocal recombination of chromosome I genes contained on different size DNA molecules:
Previously, reciprocal recombination of chromosome I genes was studied on DNA molecules that were 90650 kb long. The highest observed rate of recombination over a >10-kb interval was ~1 cM/kb while the lowest in a >10-kb region that was not adjacent to a centromere was ~0.4 cM/kb. To determine whether rates of recombination would further increase and decrease, we constructed a functional 60-kb bisection chromosome (bisection III Figure 1) and an 800-kb translocation chromosome (translocation II; Figure 1). These chromosomes are 35% shorter and 20% longer than any of the previously examined chromosomes. Chromosomes were genetically marked and karyotypes confirmed using pulse-field gel electrophoresis (Figure 2). Rates of reciprocal recombination between each marker pair were analyzed in diploids that were homozygous for the different size chromosomes and in isogenic or congenic controls that contained normal length chromosomes (Table 2). We also show the calculated rates of recombination for previously published tetrad data for many of these same intervals to enable a thorough comparison.
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The results indicated that the rate of recombination in the iHIS3-iTRP1 interval on bisection III was 1.5 cM/kb. This interval includes most of the length of this 60-kb chromosome fragment. The rate of recombination was significantly different (P < 0.0001) and two times greater than the observed rate of 0.75 cM/kb for the same interval contained on the full-length control chromosome. It was 50% above the highest rates previously observed in >10-kb intervals on bisection chromosomes. A rate of 1.5 cM/kb is equal to that observed at a recombination hot spot (![]()
The rate of recombination on the 800-kb translocation II chromosome (Tx II) was significantly lower than on all smaller chromosomes including the 650-kb translocation I (Tx I) chromosome (P = 0.005). For the 64-kb ADE1-PHO11 interval, the rate of recombination was 0.37 cM/kb, threefold lower than in the 90-kb bisection I chromosome, which is nine times smaller. The rate for the fun30::LEU2-ADE1 interval was twofold lower than the full-length chromosome and almost fourfold lower than the 135-kb bisection II chromosome. This interval was not present in translocation I. Rates in the centromere adjacent CEN1-ADE1 interval also were lower in translocation II compared to the smaller chromosomes (P < 0.04). However, no significant differences were found in this interval when the bisection and the full-length chromosomes were compared (Table 2; ![]()
Enhanced recombination on small chromosomes lowers the fraction of homologues that fail to cross over:
If all yeast chromosomes recombined at the same average rate, the smallest yeast chromosomes would fail to cross over 5% of the time (the E0 class). The high rate of recombination normally found on chromosome I lowered the E0 class to 0.20.4% or less (![]()
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The above analysis required the introduction of the iARG4 marker near a telomere on the right half of the bisection II chromosome (Figure 1). Interestingly, the amount of recombination in the telomere adjacent iARG4-fun30::LEU2 interval was ~2.5-fold lower than in the full-length chromosome control (Table 2). These results are consistent with the idea that telomeres inhibit meiotic reciprocal recombination. Alternatively, the lower level of recombination could be due to the removal of an initiation site for recombination as a result of bisecting the chromosome. In either case, this observed inhibition is dramatic and could mask any change in recombination rates due to chromosome size.
The amount of crossover interference changes as a function of chromosome size:
The amount of crossover interference within all intervals showing NPD tetrads for at least one chromosome I construct was determined using the methods of ![]()
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Interference changes as a function of chromosome size on real S. cerevisiae chromosomes:
The large amount of genetic mapping data was first used to show that small chromosomes had higher rates of reciprocal recombination than large chromosomes (![]()
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As the fraction of NPD asci increases, it is possible to estimate k more accurately. There were 50 database entries containing >20 NPD tetrads where k had very small standard errors (<15%). When these data were examined, the k values fell very close to the regression line derived from all the data (Figure 4). These results suggest that the estimates produced from the entire data set for each chromosome closely approximate the actual values.
Relative levels of interference for a given size interval on each chromosome can therefore be defined by a function of the slope of the linear regression. The steeper the slope, the less interference for a given size interval on that chromosome. Therefore, the slopes for each chromosome were plotted as a function of chromosome size (Figure 5). The results indicated that the smallest chromosomes had the steepest slopes. A linear regression analysis produced a line that had a significant negative slope (P = 0.03, r2 = 0.32), indicating that k for a given size interval is lower, and thus interference is greater on the larger chromosomes compared to the smaller ones.
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Because the relationship between the slope and chromosome size may not be linear, the data were replotted as k vs. ln chromosome size and analyzed by linear regression (not shown). The transformation produced a negative slope with a higher probability of significance (P = 0.003) and a closer fit to linearity in the ln scale (r2 = 0.45). We also examined each chromosome using intervals that were <105 kb so that only like-size intervals on small and large chromosomes could be directly compared. These analyses revealed the same relationship as the total database except potential errors were larger due to much smaller sample sizes for each chromosome (data not shown).
In summary, the database analyses are consistent with the experiments presented here showing that intervals that are the same physical size exhibit more crossover interference on large chromosomes than on small chromosomes. These observations support our suggestion that chromosome size-dependent control is the result of regulating the amount of crossover interference. A model for how interference regulates overall recombination rates as a function of chromosome size is presented below.
| DISCUSSION |
|---|
We have previously demonstrated that chromosome size has a direct effect on the level of meiotic reciprocal recombination. However, with one exception, the differences between the altered chromosomes and the full-length control were less than twofold and the greatest rate of recombination was ~1 cM/kb over a large region, while the smallest was ~0.4 cM/kb. This low rate was still greater than the average for the larger yeast chromosomes. The studies reported here show that further increasing the size of chromosome I further reduced rates of recombination to those found on the larger S. cerevisiae chromosomes (0.190.37 cM/kb). In contrast, decreasing the size of a chromosome to 60 kb, produced a reciprocal recombination rate over a 43-kb interval that was equal to that found in a recombination hot spot. A three- to fourfold difference in the rate of recombination in the same intervals was readily seen between the bisection chromosomes and the largest translocations. These comparisons were carried out between strains that did not share isogenic backgrounds. Nevertheless, with few exceptions, recombination rates in each of the full-length control chromosomes were approximately equal, making these comparisons valid.
The amount of positive crossover interference was found to increase with chromosome size. Accordingly, we propose that small chromosomes have higher rates of reciprocal recombination because there is less crossover interference and large chromosomes have lower rates of recombination because there is more interference. Analysis of the database of genes that are both physically and genetically mapped supports these experimental results. The slopes derived from the measure of interference, k vs. interval size, were smaller for the larger chromosomes than for the smaller chromosomes (Figure 4 and Figure 5). If we derive slopes for the chromosome I bisection data by extrapolating a plot of k vs. interval size to zero, the slopes are greater than for the intact copy of chromosome I (0.160.25 vs. 0.065; data not shown). Because k is an inverse function of interference, these results indicate that the levels of interference appear to increase with increasing chromosome size.
A high degree of scatter was observed in the interference values calculated from the data base. Most of this variability is due to the small number of observed NPD asci for many of the data entries. Combining all the data for a given chromosome and plotting these data as a function of the physical size of each interval should average out this variability. Note that the slope with the largest potential error was for chromosome VI, which contained the fewest data points. Where interference could be accurately measured because there were 20 or more NPD asci scored, the values all fell very close to the regression line defined by the entire data set for each chromosome (Figure 5). For chromosomes II, V, and VII, the number of points containing >20 NPD asci was sufficiently large to define almost the same slope produced from the entire data set. Similarly, when intervals containing >500 asci analyzed were examined, the values also were very close to the regression line defined by the entire data set (data not shown). These points were mostly made up of the same points containing >20 NPD asci. Thus, the regression lines appear to closely approximate the actual values.
While we have not yet derived a suitable equation that defines the precise relationship of the k/interval size slopes to chromosome size, regression analysis of these points produced lines with significant negative slopes, indicative of increased interference in the larger chromosomes. Therefore, the combined results of many years of genetic mapping support our suggestion that the amount of interference in a given size interval varies as a function of chromosome size. The functions shown here may be useful in predicting the amount of crossover interference in a given size interval for each chromosome.
Large chromosomes had some very large genetically mapped intervals (>200 kb and 70 cM). In almost all of these intervals, interference was still easily observable (k < 1.0). These data indicate that in S. cerevisiae interference affects >200 kb of DNA on the large chromosomes.
Chromosome size-dependent control appears to be a function of the size of the entire chromosome and not the size of a chromosome arm. Addition or removal of sequences from one arm of the chromosome affected recombination on the other arm (Figure 6). Because chromosome size-dependent control of recombination appears to be a function of crossover interference, it would appear that interference can pass through the centromere. This idea contrasts with the previous suggestion that interference was blocked by the centromere (![]()
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The largest yeast chromosomes had average rates of reciprocal recombination of 0.29 cM/kb (![]()
We also demonstrated that the fraction of chromosomes that fail to cross over is significantly reduced by the increased rate of recombination. These results show, as ![]()
The mechanism of crossover interference is unknown. Several models have been suggested and we propose another. In most models a crossover initiates a structural change that prevents further crossing over and this change is transmitted bidirectionally down the length of the chromosome in a time-dependent manner. In the model proposed by ![]()
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We propose a mechanism for how interference responds directly to chromosome size (Figure 7). The model is based on the idea that interference propagates down the chromosome bidirectionally from the site of the crossover in a time-dependent manner (![]()
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If synapsis is responsible for interference (![]()
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If crossover-induced release of tension is responsible for crossover interference, large chromosomes would be expected to exhibit more tension per unit length. Accordingly, a crossover would relieve more tension and cause more interference on the largest chromosomes.
Our model predicts that large chromosomes, on average, will form crossovers earlier than small chromosomes and that a crossover will affect more DNA on large chromosomes (i.e., interference tracts will be larger) than on small chromosomes. It also predicts that altering the amount of crossover-forming machinery could either enhance or eliminate chromosome size-dependent control of recombination. Because our model is kinetically similar to that of ![]()
| ACKNOWLEDGMENTS |
|---|
We are indebted to Jeff King, Richard Egel, Yuping Su, Eric White, Arnold Barton, and Cesar Guerra for their valuable comments on the manuscript. This research was supported by grants from the National Science Foundation and the National Institutes of Health.
Manuscript received April 28, 1998; Accepted for publication April 14, 1999.
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) and the 64-kb ADE1-PHO11 (
) intervals contained on different size copies of chromosome I were plotted as a function of chromosome size. Bars denote the standard error.
). Physical sizes (in kilobases) are shown for each chromosome (IXVI).




