Abstract
Meiotic drivers are selfish alleles that subvert gametogenesis to increase their transmission into progeny. Drivers impose a fitness cost, putting pressure on the genome to evolve suppressors. Here we investigate the wtf gene family from Schizosaccharomyces pombe, previously shown to contain meiotic drivers in wild isolates. We discovered that wtf13 found in lab stocks is a meiotic driver. wtf13 kills spores that do not inherit it by generating both a diffusible poison and a spore-specific antidote. Additionally, we demonstrate that wtf13 is suppressed by another wtf gene, wtf18-2, that arose spontaneously in the lab and makes only an antidote. Wtf18-2 does not act indiscriminately to prevent spore destruction. Instead, it rescues only the spores that inherit wtf18-2. In this way, wtf18-2 selfishly gains a transmission advantage of its own while dampening the drive of wtf13. This establishes a novel paradigm for meiotic drive suppressors and provides insight into the mechanisms and evolution of drive systems.
Author summary
Killer meiotic drivers are selfish genes that cause infertility by destroying the gametes (e.g. sperm) that do not inherit them. This allows them to be transmitted into up to 100% of the surviving gametes. Because of the significant fitness cost that these killer meiotic drivers impose to the organism, suppressors of drive are expected to evolve. We and others recently discovered that members of the wtf gene family in natural isolates of fission yeast are killer meiotic drivers. These genes generate a poison to kill gametes, but rescue those that inherit the driver with an antidote. In this work, we discovered that an additional wtf gene, wtf13 found in intensely studied lab strains is also a meiotic driver. This driver is only capable of driving in the absence of another wtf gene, wtf18-2, which works by mimicking the antidote of wtf13. By protecting only the spores that inherit the gene, wtf18-2 selfishly gains a transmission advantage of its own, establishing a novel paradigm for drive suppressors.
Introduction
A founding principle of genetics is that the two alleles carried by a diploid are transmitted at Mendelian (equal) frequencies into the gametes [1]. The mechanisms of meiotic chromosome segregation and gametogenesis are often assumed to be unbiased and to therefore guarantee Mendelian transmission. These processes, however, are not perfect and are vulnerable to exploitation by ‘selfish’ genetic parasites that can bias their own transmission to the next generation, often at the expense of the rest of the genome [2]. These selfish alleles are known as meiotic drivers. Although the term was initially used to describe alleles that could bias the meiotic divisions in their favor, it soon expanded to include alleles that act after the meiotic divisions to destroy the gametes that do not inherit them [2, 3].
Meiotic drivers have been observed across eukaryotes from plants to humans [4–6]. While the true prevalence of meiotic drivers is unknown (and perhaps underappreciated), the detection of meiotic drive has accelerated in recent years, as next generation sequencing enabled the detection of drivers not linked to obvious phenotypes [7–11].
Meiotic drive typically compromises organismal fitness [12–15]. This is because Mendelian transmission facilitates natural selection of the best adapted alleles by ensuring each allele has a fair chance to be tested. Additionally, meiotic drivers can inadvertently cause deleterious alleles that are linked to drivers to be maintained or spread in a population. For example, several drive loci are genetically linked to recessive mutations that cause sterility or even lethality [13, 16–18]. One class of meiotic drivers, the killer meiotic drivers, can even cause infertility directly. These drivers act by actively destroying meiotic products that do not inherit the drive allele from a heterozygous parent [6, 19].
Genomic loci that are unlinked from drive alleles can suffer direct and indirect fitness costs imposed by drivers. This puts meiotic drivers in genetic conflict with the rest of the genome, especially alleles that are driven against and transmitted to less than half of the functional gametes. Alleles that are unlinked from the driver that suppress drive can therefore be favored by natural selection, which in turn, selects for drive alleles that evade suppression [4, 12, 20]. The evolutionary dynamic between meiotic drivers and their suppressors is akin to that observed between viruses and immune factors: both sides are predicted to rapidly evolve in an ongoing molecular arms race [21, 22]. This race between drivers and suppressors is predicted to shape the evolution of fundamental aspects of eukaryotic cells including chromosome structure and segregation [23–25].
A handful of meiotic drive alleles have been identified, and the phenotypic effects of many more have been observed. Very little, however, is known about the molecular mechanisms by which they function [4–6, 9, 13, 26–33]. Additionally, while the actions of drive suppressors have been detected in many cases, only three suppressors of drive have been identified [4, 6, 9, 11, 13, 26–37].
The wtf gene family of fission yeast offers an excellent opportunity to study the mechanisms and evolution of meiotic drive genes [38, 39]. In the reference strain of S. pombe (strain L972, denoted here as Sp), there are 25 wtf genes, including several pseudogenes [40]. Four different wtf genes were recently identified as meiotic drivers in two different S. pombe group isolates, S. kambucha (denoted here as Sk) and CBS5557 [7, 8]. These genes all act to kill spores (yeast meiotic products) that do not inherit them such that >70% of the viable spores generated by wtf+/- heterozygotes are wtf+ [7, 8].
At least one such gene, wtf4 from S. kambucha, causes meiotic drive by a poison and antidote mechanism (Fig 1A). The wtf4 gene has two alternative transcriptional start sites (Fig 1B). The two transcripts are in the same reading frame and are largely overlapping, but they encode distinct poison and antidote proteins. The Wtf4poison protein is trans-acting and can kill all spores generated by diploids encoding the locus. However, from the four spores produced after meiosis, the two spores that inherit the wtf4 gene generally survive because they are protected by the cis-acting Wtf4antidote protein (Fig 1A) [7]. Other driving wtf genes are predicted to act via an analogous poison-antidote mechanism [8, 38].
Not all intact wtf genes, however, appear to encode two transcripts. Many wtf genes, including twelve in the reference genome, encode only one transcript [8, 39, 41]. In addition, all three tested intact wtf genes predicted to have one transcript failed to cause drive [7]. These results led us to predict that at least some of these wtf genes encode only antidotes and that they could act as suppressors of wtf drive genes [7, 38].
Here, we show that Sp wtf13 is a poison-antidote meiotic driver. In addition, we show that Sp wtf18-2 encodes a protein that suppresses Sp wtf13 via molecular mimicry of the Sp Wtf13antidote protein. Importantly, Sp wtf18-2 only rescues gametes that inherit it from destruction by the Sp Wtf13poison protein. In other words, wtf18-2 benefits from the infertility caused by wtf13. This represents a novel type of drive suppressor in that it parasitizes the driver to gain a non-Mendelian transmission advantage of its own.
Results
S. pombe wtf13 is an autonomous poison-antidote meiotic drive gene
Our previous work suggested that a complex network of meiotic drivers and suppressors of drive are distributed across both Sp and Sk chromosome 3’s. This inference stems from the phenotypes of a series of distinct Sk/Sp hybrid diploids. Each of these diploids is heterozygous for one pure Sk copy and one independently-derived recombinant (Sk/Sp mosaic) copy of chromosome 3. In some of these diploids, the mosaic chromosome was transmitted to more than 50% (73–97%) of the viable haploid spores. This phenotype suggested the existence of an Sp drive allele within the Sp-derived portion of those mosaic chromosomes (S1 Fig) [7, 18].
To identify the hypothesized Sp driver, we focused on a candidate region (between positions 1,397,380 and 1,810,659) shared by all the driving mosaic chromosomes (S1 Fig). We specifically searched this region for a wtf gene with a sequence similar to that of a known wtf drive gene. We found that this region contains the Sp wtf13 gene that shares 78% amino acid identity with the Sk wtf4 drive gene (S2A Fig). In addition, Sp wtf13 has two types of transcripts: a long transcript that includes six exons and a shorter five exon transcript that begins within what is intron 1 of the long transcript (Fig 1C, S3A Fig) [41]. The long and short transcripts of Sp wtf13 are reminiscent of those that encode the antidote and poison proteins, respectively, of Sk wtf4 (Fig 1B and 1C). We therefore predicted that Sp wtf13 is a meiotic driver and that the long transcript encodes an antidote, while the short transcript encodes a poison.
We decided to test the phenotype of Sp wtf13 in an Sk genetic background, as the effects of drive are often uncovered in divergent backgrounds. Sk encodes a wtf13 allele that is only 83% identical to the Sp allele (S2B Fig). This divergence is much higher than expected given the near sequence identity of the Sk and Sp genomes (>99% identity) [18, 42]. The Sk wtf13 allele, however, does not appear to be a meiotic driver as it lacks an in-frame start codon near the start of exon 2 that is shared by all known drivers (S2B Fig, right).
To test Sp wtf13, we integrated the gene linked to a drug resistance marker into the ade6 marker locus on Sk chromosome 3. This generated a strain that exhibits adenine auxotrophy (ade6-) and resistance to a drug (geneticin or hygromycin B). We then mated this haploid strain to a wild-type Sk haploid to generate hemizygous Sp wtf13/ade6+ diploids. We then induced this diploid to sporulate (make meiotic products) and assayed its phenotype by following the ade6 and drug resistance markers (Fig 2A, diploid 1). We found that the fertility (as measured by the viable spore yield assay [43]) of the Sp wtf13/ade6+ diploids was significantly less than that of the empty vector/ade6+ control (Fig 2A, diploid 1 and 10, respectively, S2 Table).
Killer meiotic drivers are expected to kill the two spores that lack the driver in each tetrad (four products of a single meiosis). To determine the pattern of spore death in tetrads generated by Sp wtf13/ade6+ diploids, we used propidium iodide (PI) dye. PI is excluded from viable cells but can penetrate dead spores that have lost membrane integrity [7]. 86% of the tetrads contained two (live) spores that excluded PI and two (dead) spores that did not (n = 58, Fig 2B, S4A Fig). In addition, we found that the Sp wtf13/ade6+ diploids transmitted the Sp wtf13 allele to 97% of the viable haploid spores (Fig 2A, diploid 1). Together, these phenotypes are consistent with Sp wtf13 acting as a meiotic driver that kills the two spores that do not inherit the gene from the Sp wtf13/ade6+ hemizygous diploid. In addition, they demonstrate that Sp wtf13 is not suppressed in Sk.
In additional experiments, we found that Sp wtf13 uses a poison-antidote mechanism analogous to the previously described Sk wtf4. The short transcript of Sp wtf13 encodes a poison and the long transcript encodes an antidote to the poison. By mutating the start codons in each transcript, we were also able to isolate the two functions of Sp wtf13 in wtf13antidote and wtf13poison alleles (Fig 2A, diploids 2–5).
The Sp wtf13antidote/ade6+ Sk diploids did, however, have reduced fertility relative to the empty vector control (Fig 2A, compare diploids 3 and 10). In addition, the Sp wtf13antidote allele only partially rescued the toxicity associated with the Sp wtf13poison allele (Fig 2A, compare the fertility of diploids 1, 4 and 5). A similar antidote-only allele made by deleting intron 1 (wtf13intron1Δ) showed the same phenotypes as Sp wtf13antidote (S1 and S2 Tables, diploids 21–23). We tested if the pattern of spore killing caused by the wtf13antidote allele was similar to that of Sp wtf13 via PI-staining of Sp wtf13antidote/ade6+ heterozygous diploids. Most asci (72%) had 4 unstained spores. Unlike Sp wtf13/ade6+, the stained spores were usually found alone in a tetrad (S4C Fig). The cause of this spore viability defect is unknown. This phenotype was not detected with the analogous Sk wtf4antidote allele [7].
S. pombe wtf18-2 suppresses meiotic drive of S. pombe wtf13
We previously predicted that wtf genes that contained only the first transcriptional start site could be suppressors of drive. Given the high amino acid identity between the known Wtfantidote proteins and the Wtfpoison proteins they suppress, we hypothesized that the specificity between poison and antidote proteins is conferred by shared amino acid sequences [7, 38]. To identify potential suppressors of Sp wtf13, we looked for antidote-like wtf genes similar in sequence to Sp wtf13.
This search identified Sp wtf18, which shares 88% amino acid identity with the short (poison) isoform of Sp wtf13 (Fig 2C). We next analyzed published long-read RNA sequencing data and confirmed that Sp wtf18 generates only long (antidote-like) transcripts (Fig 1D and S3B Fig) [41].
To test if Sp wtf18 can suppress Sp wtf13, we first cloned the gene using genomic DNA from our lab stocks. Interestingly, despite the generally assumed isogeny of Sp lab stocks (which are derived from strain L972), we found that the Sp wtf18 allele found in some of our lab stocks was different from the allele found in the reference genome [44]. We call the alternate allele Sp wtf18-2. There are seven amino acid differences and a seven-amino acid insertion encoded in exon 6 of wtf18-2 compared to the wtf18 allele (Fig 2C). Sp wtf18-2 is more similar (92% amino acid identity) to the short isoform of Sp wtf13 than is Sp wtf18 (88% identity). In addition, exon 6 of Sp wtf18-2 is identical to the last exon of Sp wtf13 (Fig 2C).
To test if Sp wtf18 is a suppressor of the Sp wtf13 driver, we first integrated the Sp wtf18 allele into Sk at ade6. We then crossed the strain to the Sk strain described above with Sp wtf13 at the same locus. This generated Sp wtf13/Sp wtf18 heterozygotes (Fig 2A, diploid 6). We found that these diploids had the same phenotype as the Sp wtf13/ade6+ hemizygotes: reduced fertility and drive of Sp wtf13 (Fig 2A, compare diploids 1 and 6). These results indicate that the Sp wtf18 allele is not a suppressor of Sp wtf13.
We next tested if the Sp wtf18-2 allele could suppress Sp wtf13 using the same approach described above (Fig 2A, diploid 7). We found that Sp wtf13/Sp wtf18-2 heterozygotes had the same fertility as the empty vector control and showed Mendelian allele transmission (Fig 2A, compare diploids 1, 7 and 10). These results demonstrate that Sp wtf18-2 acts as a suppressor of the Sp wtf13 meiotic driver.
We next tested if, like Spok1 in the filamentous fungus Podospora anserina, Sp wtf18-2 could act not only as a suppressor, but also as a driver in heterozygotes [11]. Sp wtf18-2 did not bias allele transmission, showing that wtf18-2 is not an autonomous driver in the Sk strain background (Fig 2A, diploid 8). Interestingly, the Sp wtf18-2/ade6+ diploids, similar to the wtf13antidote allele, had significantly lower fertility than the empty vector control (Fig 2, diploid 8 and S4D Fig). This suggests that this allele imposes a fitness cost in the Sk background that we did not observe in the presence of the Sp wtf13 driver.
We reasoned that if wtf18-2 was working like the wtf13antidote, it too could rescue the toxicity caused by the wtf13poison. To test this, we generated diploids heterozygous for wtf18-2 and wtf13poison at the ade6 marker locus (Sp wtf18-2/Sp wtf13poison). Consistent with our hypothesis, we observed transmission bias (96%) favoring the wtf18-2 allele and an increase in fertility (Fig 2A, compare diploids 4 and 9).
Shared sequence identity of residues encoded in exon 6 promotes the ability of suppressors to neutralize drivers
We next wanted to leverage the differential abilities of wtf18 alleles to suppress Sp wtf13 to provide insight into what is required for suppression. The two alleles of wtf18 found in Sp are nearly identical outside of exon 6 (Fig 2C and S5 Fig). Exon 6 is identical between Sp wtf18-2 and Sp wtf13. Sp wtf18 exon 6 differs in that it has 3 copies of a seven amino acid repeat sequence, whereas the other genes have 4 copies [39]. The C-terminal region is also different in Sp wtf18, relative to Sp wtf13 and Sp wtf18-2.
To probe the relevance of these changes on the ability to suppress Sp wtf13, we mutated Sp wtf18-2 to make it look more like Sp wtf18. We found that either deleting one copy of the repeat unit or changing the entire C-terminal region both disrupted the ability of Sp wtf18-2 to suppress Sp wtf13 (Fig 3, diploids 11 and 12). Some more subtle changes to the C-terminal region were tolerated (S6 Fig, diploids 24 and 25), whereas the D366NN change in Sp wtf18-2 alone was sufficient to prevent suppression of Sp wtf13 (Fig 3, diploid 13).
Additionally, we found that we could make a novel driver by deleting one unit of the exon 6 repeat in Sp wtf13 (S6 Fig, diploid 26). We found that this driver could be suppressed by alleles of wtf18 that had matching repeats (units and sequence, S6 Fig, diploid 29 and 30). Interestingly, this driver could also be suppressed by Sp wtf18, even though the residues in the C-terminal region did not match (S6 Fig, diploid 30).
Curiously, the Sp wtf13repΔ allele was not suppressed by the endogenous Sk wtf18 allele present in the strain background used for this analyses (with three repeat units and matching C-terminal region; S6 Fig, diploid 26). We hypothesized the Sk wtf18 could be silenced at its endogenous locus. To test our hypothesis, we integrated a copy of the Sk wtf18 allele at ade6. Consistent with our hypothesis, Sk wtf18 suppressed the Sp wtf13repΔ driver when both were at ade6 (S6 Fig, diploid 31). Overall, our experiments demonstrate that sequence identity of residues encoded in exon 6 between drivers and their suppressors is functionally important. Depending on the driver, however, some mismatches between the drivers and suppressor sequences can be tolerated in the C-terminal region.
At their endogenous loci, Sp wtf13 acts as a driver and Sp wtf18-2 acts as a suppressor
We next tested the phenotypes of Sp wtf13 and Sp wtf18-2 in their native Sp genomes at their endogenous loci by characterizing deletion mutants. We found that neither gene was required for sexual reproduction (Fig 4A, diploids 14 and 15). We also confirmed our observations from the Sk background in that Sp wtf13 acted as a driver and it was suppressed by Sp wtf18-2, but not Sp wtf18 (Fig 4A, compare diploids 16 and 17 and S7 Fig).
In the Sk background, we observed a fitness cost of the Sp wtf18-2 allele in the absence of Sp wtf13 (Fig 2A, diploid 8). We did not observe any such cost in Sp, suggesting that phenotype is specific to the Sk strain background or the constructs used in those experiments (Fig 4A, diploids 18 and 19).
Sp wtf18-2 rescues only Sp wtf13-poisoned spores that inherit Sp wtf18-2
The characterized Sk Wtf4antidote protein is enriched in the spores that inherit the locus and only rescues those spores from the Sk Wtf4poison [7]. Similarly, the Sp Wtf13antidote only rescues the spores that inherit the Sp wtf13 locus (Fig 2). We hypothesized that the Sp Wtf18-2 protein would act in a similar way to these antidotes. In other words, we predicted only those spores that inherit Sp wtf18-2 would be protected from killing by the Sp wtf13 driver. This is a stark departure from the prevailing hypothesis about how suppressors of killer meiotic drivers work: indiscriminately rescuing all gametes.
To distinguish these possibilities, we assayed Sp wtf13 and Sp wtf18-2 double heterozygote mutants (wtf13+ wtf18-2+ /wtf13Δ wtf18-2Δ). These diploids will generate four different classes of spores: 1) wtf13+ wtf18-2+, 2) wtf13Δ wtf18-2Δ, 3) wtf13+ wtf18-2Δ and 4) wtf13Δ wtf18-2+. The two genes are linked (28 cM, see Methods), so not all spore types should be generated in equal frequencies. If the Sp wtf18-2 suppressor protects only the spores that inherit it, the spores that do not inherit the driver (Sp wtf13) or the suppressor will die (Fig 4B, Class 2). In contrast, if wtf18-2 protects every spore, there should be no spore killing in these diploids.
We observed that the spores that lacked both the driver and the suppressor (Fig 4B, Class 2) were underrepresented (8-fold) compared to the spores that had both the meiotic driver and its suppressor (Fig 4B, Class 1). Importantly, the drive of Sp wtf13 amongst the parental classes (Fig 4B, Classes 1 and 2) was 89%, which is indistinguishable from the 87% drive of Sp wtf13 observed in diploids lacking Sp wtf18-2 (Fig 4A, diploid 17). We observed analogous results using totally unlinked tagged alleles of Sp wtf13 and Sp wtf18-2 (S4 Table, diploid 32).
These results demonstrate that the wtf18-2 suppressor is spore-specific, like the antidote of Sk wtf4. In other words, Sp wtf18-2 acts like a selfish element by protecting only the spores that inherit Sp wtf18-2. Interestingly, this tactic allows Sp wtf18-2 allele to also gain a transmission advantage (73.4% transmission) in this diploid equivalent to that enjoyed by the Sp wtf13 drive allele (72.7%, Fig 4B). Effectively, Sp wtf18-2 parasitizes the ability of Sp wtf13 to drive. In the process, Sp wtf18-2 dampens the transmission advantage enjoyed by Sp wtf13.
Wtf18-2 mimics the Wtf13antidote
To assay the relationship between Sp Wtf13poison, Sp Wtf13antidote and Sp Wtf18-2 proteins, we generated fluorescently tagged alleles. The tagged Sp wtf13 separation-of-function (i.e. antidote-only and poison-only) alleles we made were not functional. The Sp wtf13antidote-YFP allele we generated was unable to suppress drive of Sp wtf13 and the fertility of diploids hemizygous for the Sp wtf13poison-mTurquoise2 allele we generated was ten-fold higher than we observed for diploids hemizygous for the untagged Sp wtf13poison allele.
Instead, we generated an allele that tags both proteins at the shared C-terminus with YFP. We introduced this allele at ade6 in Sk, as described above. The Sp wtf13-YFP allele does cause meiotic drive (71% transmission in Sp wtf13-YFP/ade6+ heterozygotes, S1 Table, diploid 33), but the phenotype is weaker than the untagged allele (97% transmission, Fig 2A, diploid 1). We also generated a second Sp wtf13-YFP allele integrated at the lys4 locus in Sk. For unknown reasons, this allele had the same phenotype as the untagged allele (96% transmission in Sp wtf13-YFP/lys4+ diploids; S1 Table, diploid 34). It is not clear why the antidote in Sp wtf13-YFP is functional, whereas the Sp wtf13antidote-YFP was not.
In tetrads generated by diploids heterozygous for either Sp wtf13-YFP allele, we observed a cytoplasmic haze of YFP and YFP puncta throughout the spore-sac (Fig 5B, S8 Fig). We infer this localization represents the Wtf13poison, based on comparison to the Sk Wtf4poison (Fig 5A, green). In addition to the presumed poison localization, we observed Sp Wtf13-YFP enriched in two of the four spores (Fig 5B, S8 Fig). This localization is reminiscent of the previously characterized Sk Wtf4antidote protein, which is enriched in the spores that inherit the allele (Fig 5A, magenta). Like the Sk Wtf4antidote, the Sp Wtf13-YFP signal is enriched in the two spores that inherit the Sp wtf13-YFP allele and survive as the other two spores generally stain with PI (Fig 5B, S8 Fig). We therefore infer the spore-enriched Sp Wtf13-YFP population represents the Wtf13antidote.
To detect the localization of Sp Wtf18-2, we generated an Sp mCherry-wtf18-2 allele and introduced the construct at the lys4 locus in Sk. The Sp mCherry-wtf18-2 allele is functional as it rescues the drive phenotype of the weaker wtf13-YFP allele integrated at ade6 (S4 Table, diploid 32). mCherry-wtf18-2 also partially rescues the drive phenotype of the stronger Sp wtf13-YFP allele at lys4 (S1 Table, diploid 35). In tetrads generated by diploids heterozygous for Sp mCherry-wtf18-2, we observed Sp mCherry-Wtf18-2 enriched in two out of the four spores (Fig 5C, S9A Fig).
The localization pattern of Sp mCherry-Wtf18-2 suggested that, like the Wtfantidote proteins, Wtf18-2 is enriched in the spores that inherit the locus. We tested this in diploids heterozygous for Sp mCherry-wtf18-2 and Sp wtf13-YFP at lys4 (Fig 6A). Two spores from these diploids will inherit Sp mCherry-wtf18-2 and the other two will inherit Sp wtf13-YFP. We can tell which spores inherited Sp wtf13-YFP because the protein is enriched in those spores (Fig 5B and S8 Fig). The spores without YFP enrichment, therefore, represent those that inherited Sp mCherry-wtf18-2. We observed that Sp mCherry-wtf18-2/Sp wtf13-YFP heterozygous diploids generated tetrads in which two spores were enriched with YFP and the others displayed enriched mCherry signal (Fig 6B and S9B Fig). These results support the hypothesis that Sp Wtf18-2 is enriched in the spores that inherit the allele.
The strong similarity between the pattern of localization of Sp mCherry-Wtf18-2 and what we infer to be the Sp Wtf13antidote-YFP suggested those proteins may localize to the same region. To test this idea, we generated Sk diploids hemizygous for tagged alleles of both Sp wtf13 and Sp wtf18-2. The two tagged alleles (Sp wtf13-YFP and Sp mCh-wtf18-2) were integrated at unlinked loci (ade6 and lys4, respectively), so they should independently segregate into spores (Fig 6C). In a subset of tetrads, two spores will inherit both tagged alleles (Fig 6C and S10A Fig). In these tetrads, we observed co-localization between the YFP and mCherry signals (Fig 6D, S9C, S10B and S11 Figs). These results indicate that the Sp Wtf13antidote and Sp Wtf18-2 proteins co-localize.
Discussion
wtf13 is an autonomous poison-antidote meiotic driver
This study identifies the S. pombe wtf13 gene as an autonomous killer meiotic driver (Fig 2). In general, Sp wtf13 acts very much like the previously characterized Sk wtf4 driver. Sp wtf13 joins four other proven wtf meiotic drive genes found in wild isolates of the S. pombe group: wtf4 and wtf28 in Sk, and cw9 and cw27 in CBS5557 [7, 8]. The dual-transcript poison-antidote mechanism used by Sp wtf13 appears to be homologous to the mechanisms employed by the other wtf drivers.
Our results are consistent with the idea that an ancestral wtf gene was a dual-transcript poison-antidote meiotic driver. Novel duplications of this ancestral meiotic driver to unlinked loci (e.g. the ‘R’ locus in Fig 7) could have been selected based on their abilities to cause drive and protect spores from the poison of the ancestral driver (e.g. at the ‘A’ locus in Fig 7). This advantage would only manifest, however, upon outcrossing to a strain that is sensitive to the driver. It is important to note that population genetic analyses suggest S. pombe rarely outcrosses [45, 46]. However, the decreased recombination rates and pervasive meiotic drive observed in outcrossed S. pombe could both minimize signatures of outcrossing [18]. Our results also support the idea that other intact wtf genes which make two transcript classes in Sp (wtf4, wtf19 and wtf23) are also likely able to cause meiotic drive, in the absence of suppressors.
wtf18-2 is an antidote-only suppressor of the wtf13 driver
This study also demonstrates that Sp wtf13 can be fully suppressed by another gene, Sp wtf18-2 (Figs 2, 3 and 4). The Sp wtf18-2 allele arose spontaneously in the lab of Harmit Malik in a routine strain-building cross (without meiotic drive) between two Sp isolates. Given the 100% DNA sequence identity between Sp wtf18-2 and Sp wtf13 from exon 6 up to 75 bp downstream of the coding sequence, we propose the Sp wtf18-2 allele likely arose from non-allelic gene conversion with Sp wtf13 (Figs 2C and 8A). Indeed, non-allelic gene conversion is common within the wtf gene family and recombination events between these two loci have been reported [8, 39, 47].
The phenotypes of many drive suppressors have been observed, but these drive systems are generally in non-model organisms with historically limited genetic tools [13, 27, 29, 35, 48, 49]. Many of the suppressors are also found on Y chromosomes, which precludes using traditional recombination mapping to identify the causative alleles. Because of these challenges, Sp wtf18-2 is only the fourth cloned suppressor of meiotic drive. Two of the known suppressors, the Tmy and Nmy genes are from D. simulans and both suppress the Dox driver. These suppressors were derived from Dox via retrotransposition and suppress it via a small interfering RNA (siRNA) mechanism [34, 36, 37].
The other known drive suppressor, Spok1 of the filamentous fungus Podospora anserina, is also related to the gene it suppresses, Spok2 [11]. Unlike Nmy, however, Spok1 is a protein coding gene that can itself cause meiotic drive by a poison and antidote mechanism [11]. It is possible that the antidote encoded by Spok1 can suppress both the Spok1 and Spok2 poisons, but the mechanism of suppression is also unknown.
Like Nmy, Tmy and Spok1, wtf18-2 shares homology with the driver it suppresses. This result supports our previously proposed model in which single transcript wtf genes could act as suppressors of wtf drivers [7, 38]. Specifically, we posited that the single transcript wtf genes were born initially via the degradation of an intact driver. For example, Fig 7 illustrates a hypothetical scenario in which one copy of a duplicated wtf driver (at the ‘R’ locus) loses the ability to make a poison and can only act as an antidote against the paralog (at the ‘A’ locus), becoming a wtf suppressor. In our example, this would be a neutral fitness transition for the ‘R’ locus: it gains the same transition advantage and produces the same number of viable spores as when the locus encoded an intact duplicate of the driver at the ‘A’ locus in the two genetic contexts presented (Fig 7, compare ii to iii). As discussed above, this analysis pertains to outcrossing, which may be rare in S. pombe [45, 46].
It is interesting to consider if repeated driver decay is responsible for the high number (12) of intact single transcript wtf genes relative to intact potential drivers (4) in the reference Sp genome. With this question in mind, we carried our hypothetical example further. We reasoned that the suppressor at the ‘R’ locus could also generate an unlinked duplicate of itself to an unlinked locus (‘P’ in Fig 7). Interestingly, this would increase the fitness of the ‘P’ locus in the outcrossing scenarios considered (Fig 7, compare iii to iv). It would on average produce more viable spores per meiosis and be transmitted to a greater fraction of the viable spores (i.e. have fewer competitors). This suggests that duplication of suppressors, in addition to driver decay, could also have contributed to the expansion of the wtf gene family and the high number of single transcript wtf genes [7, 8, 40].
Wtf18-2 suppresses drive via molecular mimicry of the Wtf13antidote
Our hypothesized origins of the single transcript wtf genes as degraded intact drivers point to a possible molecular mechanism. Specifically, if a single transcript wtf gene encodes an antidote protein, it could suppress a driver by mimicking the antidote of that driver (Fig 8B and 8D). Consistent with this idea, it was the high degree of shared amino acid identity with the Wtf13poison that led to our discovery of the Wtf18-2 suppressor (Fig 2C).
In addition to sequence similarity, we demonstrated that the Wtf18-2 protein expression pattern is indistinguishable from that of the Wtf13antidote. Both proteins are highly enriched within the spores that encode them (Figs 5 and 6). Finally, we demonstrate that the Wtf18-2 and Wtf13antidote proteins co-localize to the same subcellular region within spores that inherit both genes (Fig 6D and S9–S11 Figs). Overall, our results support a model in which Wtf18-2 suppresses drive by mimicking the Wtf13antidote protein (Fig 8B and 8D).
How Wtfpoison proteins kill and how Wtfantidotes prevent killing is still unknown. We and others have proposed that the poison proteins kill by oligomerizing to form a pore that could disrupt vital cellular membranes because the proteins have multiple predicted transmembrane domains (S12 Fig) [7, 8, 38]. The poison proteins can assemble into small aggregates (visible as foci in Figs 5 and 6). We speculate that these aggregates could be oligomers capable of disrupting membranes within spores. We have also proposed that the antidotes use their shared amino acid sequences to interact with the poison proteins and somehow disrupt pore formation. Our results are consistent with the idea that homotypic interactions are important, although some sequence differences between the driver and suppressor are tolerated (Fig 3 and S6 Fig).
This emerging theme of shared identity between drivers and their suppressors could guide the discovery of novel suppressors as new drivers are cloned. Additionally, this work and the work of others have shown that one potential way to engineer a suppressor of drive is to use the sequence of the driver itself. This idea will be particularly important to consider when trying to understand, predict, or alter the evolution of synthetic gene drive systems.
wtf18-2 selfishly suppresses the selfishness of wtf13
Unlinked suppressors of selfish meiotic drivers are often assumed to be beneficial alleles that are selected because they increase the fitness of their hosts [12]. The Nmy suppressor of Dox fits this paradigm. Nmy ensures Mendelian sex chromosome representation in the gametes, even in the 50% of gametes that do not inherit Nmy from a Nmy/nmy heterozygote [34, 36, 37]. In other words, the benefits of Nmy are shared by the gametes that do not inherit the suppressor. The wtf18-2 suppressor, on the other hand, represents a more ‘selfish’ strategy that is likely a relic of the gene’s evolutionary history. Wtf18-2 only suppresses drive in the spores that inherit the wtf18-2 allele. This tactic allows wtf18-2 to exploit the Wtf13poison protein to gain a transmission advantage of its own (Fig 4B). While this selfish suppression strategy would increase host fitness (when the driver and suppressor are not absolutely linked in cis), the benefits of suppression are not shared by the gametes that do not inherit the suppressor.
Meiotic drivers drive infertility
wtf genes are known to be rapidly evolving in natural isolates [7, 8, 39]. Such rapid evolution is thought to be a hallmark of genes in conflict, such as meiotic drivers and their suppressors [4, 21, 22]. This work supports the idea that the rapid evolution of non-driving wtf genes is due to their role as suppressors of meiotic drive. The rapid evolution of wtf genes leads to heterozygosity of these genes in crosses between natural isolates. This wtf heterozygosity is known to be a major driver of infertility between different isolates of S. pombe [7, 8, 18]. Our work suggests the rapid evolution of this gene family is also generating variation within lab stocks that are generally considered isogenic. This heterozygosity could uncover cryptic drivers and introduce major artifacts into studies of S. pombe reproduction and fertility. More broadly, infertility caused by meiotic drivers may be common in eukaryotes [50–52].
Finally, this work demonstrates how even strong meiotic drivers can remain hidden despite intensive genetic investigation. This example underscores the challenges inherent to detecting similarly cryptic meiotic drivers in more complex systems, including humans. Furthermore, it highlights the power of investigating the evolutionary dynamics of drivers in tractable model systems.
Materials and methods
Plasmid construction: Integrating vectors
The genotype of the plasmids used can be found in S5 Table. To integrate transgenes linked to kanMX4 into the Sk genome at ade6+, we used the ade6-targeting plasmid (pSZB188) described in [7]. For this study, we also made a cloning vector (pSZB386) that would allow us to similarly introduce transgenes linked to hphMX6 at ade6. To make pSZB386, we first made a mutant ade6 allele (with internal, 5’ and 3’ deletions in addition to introducing a central KpnI restriction site). To make the mutant ade6 allele, we amplified the 5’ end of the ade6 gene using oligos 588 and 589 (S6 Table). We then stitched this fragment to a second fragment of the gene that was amplified using oligos 590 and 591 using overlap PCR. We then digested the amplified fragment with BamHI and XhoI and cloned it into the BamHI and SalI sites of pAG32 [53].
To similarly integrate constructs linked to drug resistant markers at lys4, we generated the lys4-targeting vectors pSZB329 (kanMX4) and pSZB322 (hphMX6). To generate these vectors, we first purchased a mutant allele of lys4 as a gBlock from IDT (Coralville, IA). This lys4 allele lacks 240 bp from the beginning and end of the gene. The allele also has 50 bp deleted from the center of the gene that is replaced with a KpnI site. We blunt-cloned the gBlock into the PvuII sites of pFA6 and pAG32 to generate pSZB329 and pSZB322, respectively [53].
Plasmid construction: Integrating vectors with Sp wtf13 alleles
To make a construct that would allow us to introduce Sp wtf13 into Sk linked to hphMX6 at ade6, we first amplified the gene from Sp genomic DNA using oligos 879 and 880. We then digested the PCR product with SacI, and ligated it into the SacI site of pSZB188 and pSZB386 to generate pSZB368 and pSZB495, respectively.
We made the Sp wtf13-YFP allele using overlapping PCR. We first amplified the Sp wtf13 gene from Sp genomic DNA using the forward oligo 1115 and a reverse oligo 1125 which anneals right before the stop codon. We then amplified YFP from pFA6-EYFP-HIS3MX6 [54] using oligos 1123 and 634. We then stitched both fragments using overlapping PCR. We next digested the resulting PCR product with SacI and ligated it into the SacI sites of pSZB188 and pSZB329 to generate pSZB522 and pSZB706, respectively.
To generate an antidote-only allele of Sp wtf13, we mutated the start site (ATG→TAC) utilized by the shorter transcript using PCR. First, using pSZB496 (same as pSZB495) as a template, we amplified both a 5’ fragment (using oligos 1115 and 1395) and a 3’ fragment (using oligos 1394 and 879) of the Sp wtf13 gene. We then stitched the two fragments together using overlap PCR. We then digested the PCR product with SacI and ligated it into the SacI site of pSZB188 to generate pSZB702 and pSZB703.
We took a rather indirect path to generate the poison-only allele of Sp wtf13. We first made a tagged wtf13-mTurq2 allele. We made this allele by amplifying Sp wtf13 from Sp genomic DNA using the forward primer 1115 and the reverse primer 1126. We also amplified mTurquoise2 from pFA6-mTurq2-URA3MX [55] using primers 1124 and 634. Using overlapping PCR, we next stitched the wtf13 and mTurq2 PCR fragments together. We digested the resulting PCR product with SacI and ligated it into the SacI site of pSZB386 to generate pSZB526. We then used a gBlock from IDT containing 250 bp of Sp wtf13 in which both methionine codons in exon 1 were mutated (ATG→TAG). Using the QuickChange II XL Site-Directed Mutagenesis Kit (Agilent Technologies) and the gBlock, we introduced the two mutations in exon 1 of pSZB526 to generate pSZB565. Although this allele was non-functional, we used the mutations in pSZB565 to make the Sp wtf13 poison-only separation-of-function allele. We amplified the 5’ end of the gene (including the start site mutations) using oligos 1115 and 985 and pSZB565 as a template. We also amplified the 3’ of the gene, using pSZB495 as a template, using oligos 601 and 879. Using overlapping PCR, we stitched these two fragments to generate an Sp wtf13 allele with both methionine codons mutated in exon 1. We then digested the PCR product with SacI and ligated it into the SacI site of pSZB386, to generate pSZB686.
To make the wtf13repΔ allele, we ordered a gBlock from IDT that contained from exon 5 to 1,078 bp downstream of the stop codon of Sp wtf13. In this gBlock, we deleted the 21 bp that encode the first repeat unit (LGNAFGGΔ). We amplified the 5’ region of the Sp wtf13 gene from template pSZB368 using oligos 880 and 1530, which amplified the gene up to exon 5. We then used overlapping PCR to stitch this fragment with the gBlock, which generated an Sp wtf13 allele with the first repeat unit deleted. We digested this allele with SacI and ligated it into the SacI site of pSZB386 to make pSZB806.
Plasmid construction: Integrating vectors with Sp wtf18 alleles
To make the Sp wtf18 kanMX4 ade6-targeting vector, we amplified the wtf18 gene from genomic DNA (strain SZY44) using oligos 1037 and 1039. We then digested this fragment with SacI and cloned it into the SacI site of pSZB188 to generate pSZB483. We also cloned this fragment into the SacI site of pSZB386 to generate pSZB485. We amplified Sp wtf18-2 from genomic DNA of strain SZY643 using oligos 1039 and 1202. We then digested the PCR product with SacI and ligated it into the SacI site of pSZB188 to make SZB566. We amplified the Sk wtf18 allele from Sk genomic DNA (strain SZY13) using oligos 1037 and 1039. We digested this PCR product using SacI and then ligated it at the SacI site of pSZB188 to generate pSZB470.
We used overlap PCR to generate the Sp wtf18-2 allele with an mCherry tag on the N-terminus. First, we ordered a gBlock from IDT containing the Sp wtf18-2 promoter linked to mCherry, five glycine codons, and the first 149 bp of Sp wtf18-2 exon 1 [56]. We amplified this fragment using oligos 1039 and 1254. We then used pSZB566 as a template to amplify Sp wtf18-2 using oligos 1255 and 1202. Using overlap PCR, we stitched these fragments together. We then cut the resulting PCR product with SacI and ligated it into the SacI site of pSZB322 to generate pSZB625.
We used the QuickChange II XL Site-Directed Mutagenesis Kit from Agilent Technologies with pSZB566 as a template and different set of oligos to generate the different Sp wtf18-2 mutants. We made an Sp wtf18-2 allele that had the first repeat unit deleted (Sp wtf18-2 repΔ) using oligos 1659 + 1660 to make pSZB673. To make the wtf18-2D366NN allele, we used oligo 1661 with oligo 1662 to generate pSZB674. To make the wtf18-2D366N allele (referred to as Sp wtf18-2mut1 in S6 Fig), we used oligos 1663 and 1664 and made pSZB675. Finally, to make the wtf18-2G370E, M372T, D373E, V374A allele (referred to as Sp wtf18-2mut2 in S6 Fig), we used oligo 1665 + 1666 to make pSZB688.
We generated the wtf18+repeat1 allele using overlapping PCR. We ordered from IDT a 599 bp gBlock containing from exon 5 to the end of the 3’ UTR of wtf18 where we introduced the 21 bp that encode for the first repeat unit (LGNAFGG) after residue 332. We amplified wtf18 from pSZB485 using oligos 1039 and 598 and stitched the product to the gBlock we ordered using overlapping PCR. We then digested this PCR product with SacI and cloned it into the SacI site of pSZB188 to generate pSZB807 and pSZB808.
Strain construction: Introducing alleles into yeast
All strain names and genotypes are described in S7 Table. We digested the integrating plasmids described above with KpnI (which cuts within the mutant ade6 or lys4 cassettes) and transformed the linear plasmids into yeast using a standard lithium acetate protocol. We selected drug resistant (geneticin or hygromycin) transformants. For alleles generated with the ade6 targeting vectors, we picked red (ade6-) colonies to ensure proper integration of the transgenes at ade6. For alleles generated with lys4 targeting vectors, we screened for lys- colonies to ensure proper integration at lys4.
Deleting wtf13 and wtf18-2 loci in S. pombe
To delete wtf13 at its endogenous locus, we generated DNA deletion cassettes via PCR. First, we amplified both the sequence (~1,200 bp) upstream of Sp wtf13 using oligos 1048 and 1049, and the sequence downstream (~1,100 bp) of Sp wtf13 using oligos 1052 and 1053. We also used oligos 1050 and 1051 to separately amplify the drug resistance genes kanMX4 and hphMX6 (from pFA6a and pAG32, respectively [53]). We then used overlap PCR to stitch the three PCR fragments together to make cassettes in which a drug resistance gene was flanked by the sequences up and downstream of Sp wtf13. We then used standard lithium acetate transformation to introduce the deletion cassettes into the genome in strain SZY643, selecting for drug resistant colonies (wtf13Δ::kanMX6 or wtf13Δ::hphMX6). This generated strains SZY1444, SZY1445, SZY1440 and SZY1441. We verified the proper deletion of the gene by amplifying the locus using PCR with oligos external to the targeting cassette (oligos 1058 and 1061).
We used a similar approach to delete Sp wtf18-2. We first generated wtf18-2Δ::kanMX6 and wtf18-2Δ::hphMX6 deletion cassette using overlap PCR. We used oligos 1078 and 1079 to amplify the upstream region (~1,000 bp) of wtf18-2 and oligos 1082 and 1083 to amplify the downstream region (~1,000 bp) of the wtf18-2 locus. We also amplified the drug resistance genes kanMX4 and hphMX6 (from pFA6a and pAG32, respectively [53]) with oligos 1080 and 1081. We then stitched all the fragments together using overlap PCR to make the DNA deletion cassettes with the regions upstream and downstream of Sp wtf18-2 flanking a drug resistance gene. We then used standard lithium acetate transformation to introduce the deletion fragments into yeast (strains SZY1442 and SZY1446). We selected for drug resistant colonies and verified strains SZY1481 and SZY1483 had the proper deletion by amplifying the locus with oligos (1113 and 1114) external to the targeting cassettes.
Crosses for assaying fertility and meiotic drive
We generated stable diploids similar to the description in [18]. We first mixed 300 μl of a saturated culture of each parental haploid strain in a microcentrifuge tube. Then, we spun down the cells and spread them onto SPA (1% glucose, 7.3mM KH2PO4, vitamins and agar) and SPAS (SPA + 45 mg/l adenine, histidine, leucine, uracil and lysine) for ~12 hours at 25°C. We then scraped the cells off the SPA (or SPAS) plates and struck them out onto selective media (for most of the crosses: minimal yeast nitrogen-based plates). The parental strains contained complementary auxotrophies that allowed us to select for heterozygous diploids. We grew diploid cells in YEL (0.5% yeast extract, 3% glucose, 250 mg/l adenine, histidine, leucine, uracil and lysine) at 32°C with shaking overnight. We spread 50 μl of the saturated culture onto SPA to induce sporulation. We also diluted the culture and spread it onto YEA (same as YEL + agar) plates to determine the colony forming units (CFU) and to assess if the culture contained heterozygous diploids which we determined via replica plating colonies after 2–3 days of growth at 32°C. Cultures determined to not be comprised of heterozygous diploids were not assayed further. After three days on SPA, we scraped off all the cells. We then incubated the cells with glusulase (snail gut enzyme) to digest the ascus wall and release the spores. We also treated the cells with 60% ethanol to kill the remaining vegetative cells. We plated diluted spores on YEA and incubated the plates at 32°C for five days. We scored the CFU of the cells plated on YEA and assayed fertility using the viable spore yield assay (VSY = [number of spores/ number of diploids] [43]). To assay allele transmission, we determined the genotype of the progeny at control and test loci via replica plating. We generated at least two independent diploids (but usually more) and genotyped more than 200 spores per cross. We used a G-test to detect biased allele transmission compared to our control sample (S1, S3 and S4 Tables). To determine if there were any changes in the fertility of the different crosses, we assayed at least three diploids using VSY. We then used the Wilcoxon test and compared them to control diploids. All the raw values we utilized for the Wilcoxon test can be found in S2 Table.
Linkage between wtf13 and wtf18 loci
To determine the recombination frequency between wtf13 and wtf18-2, we used the progeny made by the Sp wtf13 wtf18-2 double heterozygote diploid (wtf13+ wtf18-2+ /wtf13Δ wtf18-2Δ; S4 Table) made by mating strains SZY643 and SZY1481 [or SZY1482]. Drive of the Sp wtf13 allele occurs in this diploid, which prevented us from using all the progeny to calculate recombination frequencies. Instead, we only used wtf13+ progeny which are not killed by the driver. We then divided the number of recombinants (wtf13+ wtf18-2Δ) by the total number of wtf13+ progeny. We had 82 recombinants and 213 parental wtf13+ progeny (S4 Table). This gave us the 28% recombination frequency.
Sp wtf18 alleles
The Sp wtf18 allele from the reference genome is present in the lab stock strain SZY44. The Sp wtf18-2 allele was discovered in our lab stock strain SZY643. This strain is a segregant from a cross between SZY631 and SZY629, which are themselves segregants from a cross between GP52 and GP7596. The GP strains were obtained from the collection of G.R. Smith. We sequenced the wtf18 locus from SZY631, SZY629, GP52, and GP7596. We determined that the wtf18-2 mutant appeared in SZY629.
Alignments
To determine the sequence identity between our proteins, we aligned the amino acid sequences using Geneious 10.1.3 (https://www.geneious.com). Using the Geneious alignment tool, we performed global alignments with free end gap with the default parameters. We deposited the sequence of the Sp wtf18-2, Sk wtf18 and Sk wtf13 alleles to Genbank under accession numbers MH029505, MH029506 and MH029507, respectively.
Transmembrane domain prediction
We used the topology prediction program TMHMM2.0 [57] to predict the topology of Sp Wtf13, Wtf18 and Wtf18-2 proteins and the number of transmembrane helices in each protein.
Cytology
To detect if spores were being killed, we stained the asci sporulated on SPA plates with propidium iodide (PI, 1mg/ml) [7]. We scraped the cells off the plate and mixed them with 50 μl of diluted PI (1:50 in ddH20). We then incubated the cells at room temperature for 20 minutes. We then plated the cells onto a 35mm glass culture dish (MatTek) pre-coated with lectin to immobilize the cells [58]. We then imaged the cells on an LSM-780 (Zeiss) AxioObserver microscope with a 40X C-Apochromat water-immersion (Zeiss, NA = 1.2). We imaged the PI-stained cells in photon-counting channel mode with 561 nm excitation and collected the PI fluorescence through a 562–642 nm filter.
We also acquired the Sk wtf4 images on the same LSM-780 microscope, with a 100x alpha Plan-Apochromat (Zeiss, NA = 1.46) objective. We acquired the images in photon-counting channel mode. We excited GFP at 488 nm and collected the fluorescence through a 481–552 nm bandpass filter. We excited mCherry at 561 nm and collected its fluorescence through a 572–735 nm bandpass filter.
For imaging asci, we induced meiosis of the diploid cells in liquid culture using the protocol described in Zanders et al [18]. Briefly, we made diploid cultures in YEL and incubated them at 32°C overnight. We then diluted the saturated culture 1:50 into 5 ml of PM media (8mM NA2HPO4, 2% glucose, 0.5% NH4Cl, EMM2 salts, vitamins and minerals) shaking at 32°C for 16 hours. To induce meiosis, we spun down 500 μl of the PM culture in a microcentrifuge tube and resuspended the cells in 5 ml of PM-N media (8mM NA2HPO4, 1% glucose, EMM2 salts, vitamins and minerals). We then incubated the samples shaking at 28°C and imaged the cells ~24 hours after the induction of sporulation. For analyses using YFP and PI, we acquired images on the same LSM-780 microscope, also with the same 40x C-Apochromat water-immersion objective. We acquired images sequentially, first in photon counting lambda mode with YFP excitation at 488 nm and with the fluorescence collected over the entire visible range. We then acquired PI images in photon counting channel mode with excitation at 561 nm and with the fluorescence collected over a bandpass of 597–735 nm. To obtain the true YFP signal from confounding autofluorescence, we linearly unmixed the YFP lambda mode data using YFP and yellow autofluorescence spectra. We recombined the unmixed YFP in ImageJ with the channel mode PI image.
To determine if Sp Wtf13-YFP co-localized with Sp mCh-Wtf18-2 (Fig 6C), we induced meiosis in diploids carrying those tagged constructs using the liquid sporulation protocol described above. Here, we also acquired the images on the LSM-780 microscope, with the objective described above, using photon-counting lambda mode with YFP and mCherry excited off-peak at 488 and 633 nm, respectively. This was done to eliminate, as much as possible, overlapping autofluorescence spectra. We collected the emission from the entire visible spectral region (~400–700 nm). After acquisition, we linearly unmixed the samples using an in-house written plug-in in ImageJ (https://imagej.nih.gov/ij/). To obtain the true fluorescence signal from the samples, we imaged control strains to obtain the YFP and mCherry spectra.
To detect if the mCherry from the Sp mCh-Wtf18-2 was enriched in two out of the four spores of the spore sac in a heterozygote (Fig 5C), we manually drew region of interest (ROIs) around the spores based only on transmitted light. Then, we plotted a histogram of the raw average intensities, which was weakly bimodal. We found a threshold between the peaks at an intensity of 3. We counted as positive every spore with an average intensity above 3, and negative every spore with an intensity less than 3. Every positive spore was given a score of 1 and an average value for that ascus was calculated. Enrichment in two out of the four spores will yield an average of 0.5 (2 positive out of 4 spores in the ascus). The analysis of the data can be found at the Stowers Original Data Repository (http://www.stowers.org/research/publications/libpb-1270).
To determine if mCherry and YFP co-localized inside the spores (Fig 6D, S9–S11 Figs) in Sk diploids hemizygous for both Sp wtf13-YFP and Sp mCh-wtf18-2, we manually drew ROIs around each of the spores in the ascus, again based only on transmitted light. We determined positive and negative mCherry and YFP spores as described above. In this case, positive YFP spores had an average intensity greater than 10 and mCherry spores had an average intensity greater than 5. We then determined how many spores were mCherry and YFP positive. The number of YFP and mCherry positive spores was then corrected to account for the double counting of the double positive spores by subtracting the number of double positive spores from both the YFP and mCherry positive spores. For example, in an ascus that has 1 mCherry positive, 1 YFP positive and 1 double positive, there are in total 2 mCherry positive, 2 YFP positive and 1 double positive spores. Subtracting 1 (double positive) from each of the mCherry and YFP positive spores yields the correct number of spores of each type. We then counted all the spores that fell into the parental ditype (PD) (2 mCherry positive, 2 YFP positive), non-parental ditype (NPD) (2 double positive) and tetratype (TT) (1 mCherry positive, 1 YFP positive, 1 double positive) tetrads. For each, we then calculated the percent of asci that were classified as each. Our unbiased approach identified PD, NPD and TT at the expected (1:1:4) frequencies. The analysis of the data can be found at the Stowers Original Data Repository (http://www.stowers.org/research/publications/libpb-1270).
Supporting information
Acknowledgments
We are grateful to Mia Levine, Robert Unckless, Sue Jaspersen, Philippe Silar, an anonymous reviewer and members of the Zanders lab for their helpful comments on the manuscript. This work was performed to fulfill, in part, requirements for MABN‘s thesis research in The Graduate School of the Stowers Institute for Medical Research.
Data Availability
Original data underlying this manuscript can be accessed from the Stowers Original Data Repository at http://www.stowers.org/research/publications/libpb-1270.
Funding Statement
This work was supported by the following awards to SEZ: The Stowers Institute for Medical Research (https://www.stowers.org), March of Dimes Foundation Basil O'Connor Starter Scholar Research Award No. 5-FY18-58 (https://www.marchofdimes.org), and the National Institutes of Health (NIH) under the award numbers R00GM114436 and DP2GM132936 (https://www.nih.gov). MABN was also supported by NIH under award number F99CA234523. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Data Availability Statement
Original data underlying this manuscript can be accessed from the Stowers Original Data Repository at http://www.stowers.org/research/publications/libpb-1270.