Abstract
The evolution of sex chromosomes and mating loci in organisms with UV systems of sex/mating type determination in haploid phases via genes on UV chromosomes is not well understood. We report the structure of the mating type (MT) locus and its evolutionary history in the green seaweed Ulva partita, which is a multicellular organism with an isomorphic haploid-diploid life cycle and mating type determination in the haploid phase. Comprehensive comparison of a total of 12.0 and 16.6 Gb of genomic next-generation sequencing data for mt− and mt+ strains identified highly rearranged MT loci of 1.0 and 1.5 Mb in size and containing 46 and 67 genes, respectively, including 23 gametologs. Molecular evolutionary analyses suggested that the MT loci diverged over a prolonged period in the individual mating types after their establishment in an ancestor. A gene encoding an RWP-RK domain-containing protein was found in the mt− MT locus but was not an ortholog of the chlorophycean mating type determination gene MID. Taken together, our results suggest that the genomic structure and its evolutionary history in the U. partita MT locus are similar to those on other UV chromosomes and that the MT locus genes are quite different from those of Chlorophyceae.
Similar content being viewed by others
Introduction
Sexual reproduction systems in eukaryotes can be divided into two types, in terms of determining sex/mating type in the haploid phase (UV systems) or in the diploid phase (XY/ZW systems)1. In the XY/ZW systems of mammals, insects, and plants, the structures of XY/ZW chromosomes and their evolution correspond reasonably well with predictions based on population genetics theory, whereby the suppressed recombination of the two chromosomes results in degeneration through Muller’s ratchet, background selection, the Hill-Robertson effect with weak selection, and the “hitchhiking” of deleterious alleles along with favorable mutations2,3. These theoretical predictions are constructed under the postulate that both sex chromosomes (XY or ZW) are heterozygous in the diploid phase and that they are distributed separately into the gametes (egg and sperm) via meiosis. In this case, deleterious mutations in an allelic gene on a sex chromosome, referred to as a gametolog, are masked by the counterpart gene on the other sex chromosome, resulting in sex chromosome degeneration driven by the above population genetic mechanisms of gene fixation. Sex chromosomes undergo stepwise degeneration, such as a size decrease, gene loss, accumulation of transposable elements, and decrease in codon bias, at different evolutionary times, resulting in “evolutionary strata”1,4,5. Several recent studies about plant Y chromosomes suggest that purifying selection influences their degeneration6. On the other hand, this postulate is not applicable to organisms with UV systems in which mutations in both sex chromosomes, named UV chromosomes, are not sheltered, because they have no allelic counterparts in the dominant haploid phase, leading to the expectation of different evolutionary patterns for UV chromosomes7. Recent simulations of UV systems suggest that the degeneration of sex chromosomes due to the accumulation of deleterious mutations by reduced recombination at mating type (MT) loci or sex-determining regions (SDRs) should be slower than in diploid determination systems because of the absence of masking of these mutations in the haploid phase; their differentiation would be driven by balancing selection, which involves maintenance of allelic genes in a population, to a greater extent than in XY/ZW systems8. However, there have been very few empirical studies of the structure and evolution of UV chromosomes.
In the green plant lineage, the genomic sequences of MT loci and SDRs on UV chromosomes have been reported in four species: the unicellular green alga Chlamydomonas (Chlorophyta), the colonial green alga Gonium (Chlorophyta), the multicellular alga Volvox (Chlorophyta), and the liverwort Marchantia (Marchantiophyta)9,10,11. The three green algal MT loci and SDRs have been compared along with the evolution of multicellularity and oogamy because these algae evolved from an ancestral unicellular green alga, similar to Chlamydomonas, into Volvox with multicellularity and oogamy since least 200 million years ago (Mya)12. The sizes of Volvox male and female SDRs are over 1.0 and 1.5 Mb at the distal ends of the UV chromosomes and contain 70 and 80 genes, respectively, and they are larger than those of the of Chlamydomonas and Gonium MT loci, which are 200–300 kb and 360–500 kb and contain 40–41 genes and 24 genes, respectively9,10. Many genes of the Volvox SDR are the same as those located inside and outside of the Chlamydomonas MT locus, suggesting that expansion of the MT locus involves the surrounding genes9. These green algal MT loci/SDRs show high degrees of gene rearrangement9,10,13. Other well-studied green lineages include bryophyte species, specifically the liverwort Marchantia (Marchantiophyta) and the moss Ceratodon (Bryophyta). Marchantia has accumulated repeats in sex chromosomes, and gametologs are exposed to purifying selection11,14,15. Although the genomic sequences of Ceratodon have not been reported, population genetics and molecular evolutionary approaches indicate that non-recombination of SDRs exposes gametologs16. The genomic sequences of the MT loci have been reported in several species outside the green lineages. The brown alga Ectocarpus has a non-recombining SDR in which gametologs are exposed17. In fungi, the filamentous self-fertilized ascomycete Neurospora tetrasperma and the anther-smut fungus Microbotryum lychnidis-dioicae have UV chromosomes called “mating type chromosomes”; both the former and latter show an early stage of MT locus degeneration with two inversions via transposable elements over a 1.2–5.3 Mb region and a highly divergent MT locus with rearrangement over18,19,20. In both cases, degeneration signals, such as transposable element accumulation and relaxed codon bias, are found, but there are no clear evolutionary strata. These studies of the MT locus/SDR sequences provided both similar and contrasting findings (Fig. 1). The similar results included low levels of MT locus/SDR recombination, rearrangement of gametolog locations, exposure of most gametologs to purifying selection, low gene density, and gene loss. The contrasting results were a size range of 200 kb to 4 Mb, lack of clear strata except in Ceratodon, lack of relaxed codon usage bias in Chlamydomonas (but this has not been estimated in some species), and lack of accumulation of some transposable elements. The rules governing the generation of these differences are not yet clear.
Green seaweeds of the Ulvophyceae are multicellular and grow in coastal areas worldwide21,22. Ulva partita is a species of the Ulvophyceae and shows representative features of the life cycle of this order (Fig. 1). The species exhibits a typical haploid-diploid life cycle with alternating haploid and diploid phases, and the gametes have two mating types, mt− and mt+ 23,24. Our previous study indicated a difference between the mating types, as evidenced by the arrangement of a putative mating structure involved in the fusion of gamete cells and an eyespot required for the recognition of photons; the putative mating structure and eyespot are arranged on opposite sides in mt− gametes and on the same side in mt+ gametes25. The asymmetry between the mating structure and the eye spot is observed even in the isogamous green alga Chlamydomonas reinhardtii 26. Thus, U. partita develops a multicellular body and produces gametes with the determination of mating types in the haploid phase. Ulva species are anisogamous but not oogamous. U. partita develops isomorphic gametophytes and sporophytes with a thallus (leaf-like) shape, and their somatic cells differentiate into biflagellate gametes and tetraflagellate zoospores, respectively23,24. Compared with the other previously analyzed organisms with UV systems, U. partita may provide several insights into the drivers of MT locus/SDR evolution in terms of the life cycle. Isomorphism between gametophytes and sporophytes is expected to restrict the functions of the MT locus genes because they must function equally in the haploid gametophyte, haploid gamete, diploid sporophyte, and haploid zoospore. Natural populations of Ulva species show no dominance of haploid or diploid phases and no sexual bias between seasons, suggesting that isomorphism and sexuality do not affect fitness in either phase27. This is distinct from other organisms. For example, the two mosses develop extremely heteromorphic gametophytes and sporophytes or egg, sperm, and spores, and not all SDR genes are necessarily required for both phases, resulting in evolutionary relaxation of selective pressure on particular genes. Ulva genetically determines mating type after meiosis by harboring individual UV chromosomes in gametophytes, and it may acquire a transcriptional regulation system between mating types at the gamete stage or during gametogenesis.
Chlorophyta contains several classes; the major classes are Prasinophyceae, Trebouxiophyceae, Chlorophyceae, and Ulvophyceae28. In all Chlorophyta, the only known sex- or mating-determining gene is the Chlamydomonas MID (Mi nus dominance), encoding a putative transcription factor containing an RWP-RK domain, including a leucine zipper-like motif29,30. A MID ortholog has been found in the Volvox SDR, and its genetic manipulation results in the transformation of sex, from female to male or from male to female. However, the expression level of this gene is constant during spermatogenesis in males, suggesting that this gene does not play a role in sex determination but instead has a male-specific function in the differentiation of male vegetative cells into sperm31. MID is highly conserved in the Chlorophyceae lineage, but it is unclear whether other green algal lineages also possess this gene. With regard to green algal evolution, it is of interest to examine the conservation of MID among the distinct taxonomic classes Chlorophyceae and Ulvophyceae.
Here, we report identification of the MT locus in a species with a haploid mating type determination system without oogamy. The primary issue that this study aims to resolve is how much the genomic structures and evolutionary history of the MT locus in U. partita resemble those of the SDRs in UV chromosomes. The mating type determination system of U. partita is similar to the UV system in terms of the timing of mating determination, while the genes on the MT locus of the two mating types coexist in the diploid phase over a longer time scale. The isomorphism between the gametophyte in the haploid stage and the sporophyte in the diploid stage may affect the evolution of the MT locus. We also investigated the orthologs among the U. partita MT locus, the MT locus in Chlamydomonas, and SDRs in Volvox.
Results
Structure of the MT locus in the green seaweed Ulva partita
The PacBio long reads (1.7 × 106 reads and 12.0 Gb for mt− and 2.7 × 106 reads and 16.6 Gb for mt+) from the genomes of both mating types were assembled into scaffolds. Although comparison of the scaffolds with unassembled PacBio long reads revealed mating type-specific (MTS) PacBio long reads, these reads were distributed over many scaffolds (Supplementary Tables 1 and 2; Supplementary Fig. 1). To select the MTS PacBio long reads located within a particular narrow region, the ratio of the sum of the lengths of 5–15 successive MTS PacBio long reads on the same scaffold per genomic length to that of the distal positions of the successive reads was determined (Supplementary Fig. 2). For reads located close together in a narrow region, the ratio reached 1 (see Supplementary Text for detailed analysis). This analysis identified a scaffold (# 632) containing a region that was highly divergent between the two mating types (Supplementary Fig. 3). In addition, the mapping results of the Illumina short reads from the two mating type genomes and RNA-sequencing (RNA-seq) reads derived from gametes and gametophytes were mapped, and the gene models predicted by the RNA-seq assemblies are shown in Supplementary Fig. 3. The highly adjacent MTS region was located in the middle of mt− scaffold 632 over ~1.0 Mb (designated as the mt− MT locus), and this region was particularly well mapped using short-read nucleotide sequences generated from the mt−, but not the mt+, genome and RNA-seq reads (Supplementary Fig. 3, 4th and 5th lanes). In addition, two highly adjacent MTS regions (mt+ MT locus) were identified for mt+ (scaffolds 4 and 898; Supplementary Fig. 2D–F, Supplementary Figs 4 and 5). These regions had lower gene density than the surrounding regions (8.2 and 5.8 genes/100 kb for the mt− MT locus and the mt+ MT locus, and 10.6 and 9.8 genes/100 kb for the regions around these loci, respectively).
Using mt− scaffold 632 and mt+ scaffolds 4 and 898, homologous scaffolds for the opposite mating type genome were identified based on a reciprocal homology search of scaffolds, which revealed that all had complementary scaffolds, and the two mt+ scaffolds were estimated to be a single fragmented mt+ MT locus (Supplementary Fig. 6). The mt− and mt+ MT loci, together with the surrounding complementary regions identified in the flanking scaffolds, extended for 7.19 and 7.33 Mb, respectively (Fig. 2A).
As no genome of Ulva relatives has yet been analyzed, there are no training data for gene prediction based on genome sequencing data. Thus, for precise prediction of genes based on expression, sets of RNA-seq assemblies from gametes and gametophytes of the individual mating types were assembled and mapped on the scaffolds in and around the MT locus. The sets of RNA-seq assemblies were gathered based on homology, and then defined as genes. These analyses indicated that the mt− MT locus and mt+ MT locus contained 46 and 67 mRNA-coding loci, respectively; several of the loci were assumed to generate splicing variants (Supplementary Tables 4 and 5).
Comparisons of the genes in the mt− MT locus and the mt+ MT locus by reciprocal BLASTX analysis showed that 23 genes were shared by the two regions (Supplementary Table 6). These genes were defined as gametologs and were used to compare the genomic structures of the two regions; the results indicated that the mt− and mt+ MT loci were highly rearranged and contained many MTS reads (Fig. 2A; Supplementary Figs 3–5).
In XY and ZW systems, particular transposable elements accumulate in the sex chromosomes32. No such accumulation of transposable elements has been detected in the MT loci of Chlamydomonas and Gonium, but it has been found in Volvox or Ectocarpus, Marchantia 9,11,17. Transposable elements were predicted based on homology with known transposable elements and comparison of the genome with itself. The results showed that transposable elements were present at the MT locus but were not more highly accumulated than in neighboring regions (mt−, MT locus: 0.32 ± 0.56/100 kb; neighboring region: 0.57 ± 0.84/100 kb; mt+, MT locus: 0.61 ± 0.85/100 kb; neighboring region: 0.62 ± 0.81/100 kb) (Supplementary Fig. 7).
U. partita has no genetic marker for estimating homologous recombination. Thus, a genomic PCR analysis was performed using four MT locus genes in both mating types for the two genome-sequenced strains and four other strains (mt−, MGEC-3 and 5; mt+, MGEC-4 and 6) isolated from different areas along the Japanese coast (Supplementary Table 6). All examined genes were linked to the mating types of the individual isolates (Fig. 2B), suggesting that these two regions contain the characteristics expected of an MT locus.
Finally, to examine the linkage between mating type and the identified MT locus, the mt− strain, which was a different isolate than the one for which the genome was sequenced, was crossed with the mt+ strain, and the linkage between the mating types of their progeny and the unique gene markers of the MT locus was examined (Supplementary Table 7). A total of 10 of 16 progeny were mated with an mt+ tester strain, and 7 of 16 progeny were mated with an mt− tester strain. Eight of the mt− progeny harbored only mt− MT locus markers, but two of them harbored both types of MT locus marker. In addition, six of the mt+ progeny harbored only mt+ MT locus markers.
Evolution of gametologs in the U. partita MT locus
To analyze the evolutionary history of the gametologs in the MT locus, the homologous sequences of an MT locus gene encoding proliferation-associated protein 1, PAR1, and a gene encoding G-strand telomere-binding protein 1, GTBP1, in a region neighboring the MT locus, were isolated from species related to U. partita. Molecular phylogenies were then reconstructed (Fig. 3A and Supplementary Table 7). In all species examined, two types of homologous sequence were identified from the two distinct mating types, and the phylogenetic tree showed that the genes could be classified into two clades (Fig. 3A). In addition, these two clades were associated with the previously determined mating types (Supplementary Table 7). In contrast, the neighboring-region genes in each species were almost identical and were not classified into different clades in the molecular phylogeny (Fig. 3B). These data suggest that the investigated gametolog existed in the MT locus when this locus was established and evolved independently within the MT loci of the individual mating types.
Next, to determine the type of selective pressure exerted on the gametologs after their divergence, the nucleotide substitution rates at synonymous and non-synonymous sites (dS and dN, respectively) were estimated. They were also compared with those for genes at the known MT locus of Chlamydomonas and in the SDR of Volvox 9,13 (Supplementary Tables 8 and 9). Mean distances between individual genes on the plot were also calculated as an index to compare the divergence of MT locus genes (Supplementary Tables 10–12). Among 23 genes with several mRNA variants defined as gametologs by BLASTX analysis, two (06550 m/01365p and 12186 m/06628p) did not have coding sequences (CDSs) that could be aligned between gametologs; thus, the CDSs of the other 21 gametologs were aligned.
Both maximum-likelihood and approximate methods showed that the synonymous substitution rates for the gametologs in U. partita were considerably higher than the non-synonymous rates, and the non-synonymous rate/synonymous rate (dN/dS) ratios were <1 for all genes except one (means were 0.16 ± 0.36 for the approximate method and 0.16 ± 0.40 for the maximum-likelihood method), suggesting that these genes have been exposed to negative selective pressure and that their functions are highly restricted (Fig. 3E,F and Supplementary Table 13).
Mean dS values were much higher in U. partita and Volvox than in Chlamydomonas, and those of U. partita were higher than those of Volvox (Supplementary Fig. 8 and Supplementary Table 13). In addition, the dN means of U. partita and Volvox were higher than that of Chlamydomonas, but the difference between U. partita and Volvox was small.
Means of all distances between the two dots for each estimation method were calculated as an index of scattering (Supplementary Tables 10–13). If the mean distance is short, the dN/dS ratios would be expected to be homogeneous. The mean distances for U. partita in the two estimation methods were 1.43 ± 1.19 and 1.59 ± 1.23 (Supplementary Table 10). All mean distances were lower in Chlamydomonas than in U. partita, while some of the dN/dS ratios were slightly higher (0.17 ± 0.18 for the approximate method and 0.17 ± 0.17 for the maximum-likelihood method) and were plotted in a small area (mean distances were 0.03 ± 0.02 for the approximate method and 0.03 ± 0.02 for the maximum-likelihood method; Fig. 3C,F; Supplementary Table 11). Mean distances in Volvox were similar to those of U. partita (1.20 ± 0.92 for the approximate method and 1.10 ± 0.98 for the maximum-likelihood method), but comparison of the standard deviations showed that the divergence of their ratios was similar to that of Chlamydomonas (0.21 ± 0.22 for the approximate method and 0.22 ± 0.24 for the maximum-likelihood method; Fig. 3D,F; Supplementary Table 12). The molecular phylogeny and nucleotide substitution rates suggest that the U. partita gametologs were present at a common MT locus before the divergence of the relatives and that this region experienced a prolonged period after separation.
The synonymous and nonsynonymous substitution rates of the genes around the MT locus were estimated by the two methods. From the scaffold data around the MT loci of mt− and mt+, the CDSs of the genes were extracted and their associations were determined using BLASTN. After estimation of the synonymous and nonsynonymous substitution rates of 119 genes by the two methods, both values were plotted according to the mt− positions of the MT locus (Fig. 3G,H). The data showed that almost all synonymous and non-synonymous substitution rates of the genes around the MT locus were near zero or zero; additionally, the synonymous substitution rates were higher than those of the MT locus, and the non-synonymous substitution rates were slightly higher than those of the MT locus.
It has been reported that relaxed codon usage bias occurs with reduced recombination in sex chromosomes33,34. Furthermore, the codon usage in CDSs obtained from all mRNA data and the codon usage for the MT locus genes were compared with those of other autosomal locus genes (Supplementary Table 14). The codon usage patterns of all of the autosomal genes and the MT locus genes did not appear to differ (Supplementary Fig. 9), and comparisons between them and those of mt− and mt+ autosomal locus genes showed high correlations (Poisson’s correlation, 0.98; p-value, 2.2 × 10−16). However, the codon usage of half of the MT locus genes in both mating types differed significantly from that of the autosomal genes, and these included the gametologs, which showed a low dN/dS ratio (Supplementary Table 14).
Motifs and molecular phylogeny of RWP-RK domain-containing proteins in the MT locus and autosomes
We investigated whether there were orthologs among the U. partita MT locus genes, the Chlamydomonas MT locus, and the Volvox SDR. Although no gene was clearly shared among the MT loci and SDR in the three species, very weak homology with MID was found in a gene only in the U. partita mt− MT locus, named UpaRWP1. To assess the relationship between MID and UpaRWP1, a BLAST analysis was performed using all Chlamydomonas RWP genes as queries against the entire U. partita mRNA database from the assembly of RNA-seq data. Two of the autosomal RWPs (UpaRWP2 and UpaRWP3) were identified and mapped to locations other than the MT locus. In addition, genes encoding proteins containing the RWP-RK domain in Chlorophyta were collected from the annotated genes from the genomes of five species: Chlamydomonas reinhardtii, Volvox carteri, Gonium pectorale, Coccomyxa subellipsoidea, and Micromonas pusilla. Although these genes encode proteins containing a single RWP-RK domain, the protein lengths are very diverse.
Conserved motifs among all of the deduced amino sequences were identified with the MEME program; five conserved motifs were identified (Fig. 4A,B). Motif 1 contained the RWPxRK sequence, which was conserved among all identified gene products. Three Volvocales MIDs were very similar in terms of protein length and the order of the five motifs (Fig. 4A,B). Although the protein length of UpaRWP1 was similar to that of MID, the order of the five motifs differed. The order of Motif 1 and Motif 2 was conserved among UpRWP1 and the Volvocales MIDs, but the order of the other motifs was not.
A molecular phylogenetic tree was constructed using all five motifs of UpaRWP1, two U. partita autosomal RWPs, MIDs, and other Chlorophyta RWPs (Fig. 4C). The three MIDs were classified into a clade with high statistical support, whereas UpaRWP1 was classified into a different clade from that containing the MIDs, albeit with low statistical support (Fig. 4C). In addition, an autosomal U. partita RWP (UpaRWP2) was classified into a clade containing Chlamydomonas RWP11 (CreRWP11) with high statistical support and few amino acid substitutions35. The other (UparRWP2) was classified into a clade containing NIT2, which is a regulator of nitrate assimilation36. Thus, UpaRWP1 differed not only from MIDs but also from the autosomal RWPs, suggesting that this gene is not an ortholog among the three species and was acquired independently in the U. partita MT locus and the two other species.
Expression of MT locus genes in gametogenesis
Mating type-specific genes are expected to provide genetic differences to opposite mating types after meiosis, and the expression of the MT locus genes may provide differentiation of gametophytes and gametes between mating types. On the other hand, there are no differences in gametophytes between mating types in U. partita, but there are some differences in gametes with asymmetry of mating structure and eye spot and mt−-specific fusion machinery25,37. To analyze the expression levels of the U. partita MT locus genes, RNA-seq data during gametogenesis from the two mating types with biological replications were mapped on the genome, and the expression levels of the MT locus genes were estimated. The expression levels of all splicing variants are shown with the results of one-way ANOVA for four time points and the Dunnett test for multiple comparisons between gametophytes before induction and at various time points after gametogenesis (Supplementary Table 15). After removing splicing variants with low expression and clustering these data, the expression data of gametologs and mating type-specific genes as well as the relative expression changes were plotted separately (Fig. 5A–D). The expression data showed that most of the genes, including both the unique genes and the gametologs, were expressed constantly during gametogenesis in both mating types. In addition, the expression levels of gametologs were much higher than those of the mating type-specific genes (Fig. 5E,F).
Statistical analyses showed that the expression levels of 18 and 6 genes changed significantly during gametogenesis in mt− and mt+, respectively. Among the 18 mt− MT locus genes, the two gametologs LOG1m and ALP1m were upregulated in gametes; two gametologs (DGK1 and 12223m) and two mating type-specific genes (07489m and 05930m) were classified into cluster No. 7 and, except for 12223m, were downregulated during gametogenesis; six gametologs (elF1m, SNR1m, PRP1m, ACTB1m, 05354m, and 23244m) and two mating type-specific genes (RWP1 and 06021m) were co-expressed (cluster No. 3), and, except for 05354m, their expression levels increased at 24 h after gametogenesis and decreased to the pre-gametogenesis level in gametes (Fig. 5A,C). Of the mating type-specific genes at the mt− MT locus, the expression level of 03057m was increased at 48 h after gametogenesis and then decreased to zero in gametes; the others were downregulated in gametes. Among the 6 mt+ MT locus genes, two gametologs (SNR1p and PRP1p) were classified into co-expression cluster (#3, see above); one other gametolog (Pik1p) and two mating type-specific genes (03154p and 08677p) were downregulated (Fig. 5B,D). In summary, among the genes significantly upregulated in mt−, thirteen mt− genes and two mt+ genes were significantly upregulated during gametogenesis or in gametes, and the others were downregulated.
Discussion
Comparison of the genomic structures of the Ulva partita MT locus with those of other organisms
In this study, we used a third-generation sequencing technology with a single-molecule sequencing method to identify the putative mating locus in the genome of the green macroalga Ulva partita. The size of the U. partita MT locus (~1.0–1.5 Mb; Fig. 1 and 2) resembles that of the SDR of Volvox, which is a UV system with a dominating haploid phase in a life cycle showing phasic heteromorphism (sporophytes do not develop, and meiosis occurs in the zygote) and gamete dimorphism (eggs and sperm), and the brown alga Ectocarpus, which is also a UV system with a haploid-diploid life cycle with phasic heteromorphism and gamete dimorphism (motile and immotile gametes in males and females, respectively)9,17. These sizes are smaller than those in two fungal MT loci (Neurospora and Microbotryum) and larger than those in unicellular and colonial green algae (Chlamydomonas and Gonium)9,10,18,19,20. In addition, the gametolog location rearrangements in the individual mating types resemble not only the SDRs of Volvox and Ectocarpus but also the MT loci of all others sequenced to date. Therefore, genomic rearrangement in the MT loci and SDRs is a common phenomenon in haploid organisms. Accumulation of transposable elements and low gene content are found in the MT loci and SDRs of Volvox, Ectocarpus, and Microbotryum but not of Chlamydomonas, Gonium, or Neurospora. Note that the Neurospora locus is thought to be young and therefore to show less accumulation of transposable elements18. The Ulva MT locus showed lower gene content but not a high level of transposable element accumulation. The low gene content suggests chromosomal degeneration with gene loss, while the low level of transposable element accumulation may reflect the shortage of transposable element data for Ulvophyceae.
Chlamydomonas and Gonium are unicellular and colonial, respectively, with few cells in their gametophytes, and meiosis occurs in diploid spores38. This is the clearest difference from other organisms except the two fungi Neurospora and Microbotryum. On the other hand, the fungi Neurospora and Microbotryum exhibit automictic reproduction, which is a mating system involving a meiotic tetrad20,39. Such automictic reproduction is predicted to favor successive linkage to a set of mating type genes that experience deleterious and recessive mutations40,41. Therefore, the driver of evolution in fungal MT type loci may be distinct from those in the other organisms. While we initially expected to observe some differences between the Ulva MT locus and others, resulting from the contribution of types of diploid phases in UV systems, the sizes and structures seem to be associated with the multicellularity of gametophytes, except in the fungi, rather than equal dominance of the diploid phase. In the case of the liverwort, Marchantia, the UV chromosomes of which are thought to be dimorphic, complete genomic sequences have not yet been reported11. When available, they will likely provide some insight into the evolution of the MT locus/SDR in organisms in which the sex/mating type is determined in the haploid stages.
Although the MT locus genes were tightly linked to the mating types of the U. partita isolates, inheritance patterns from a sporophyte to gametophytes were somewhat unusual. Several progenies had the both mating type-specific genes, suggesting that they are diploid. However, these progenies mated with the mt+ tester strain. We now hypothesized that this is an apomixis-like phenomenon found in several organisms and will report on this in more detail in the future. In addition, the finding that the gametes of the diploid progenies mated with the mating type plus gametes is similar to an observation in Chlamydomonas, in which diploid gametes artificially generated by using auxotrophic mutants exhibited the mt− phenotype42. This suggests that the MT locus gene(s) of U. partita may determine the mating type.
Evolution of the U. partita MT locus
A comparison of the dS and dN values of the gametologs in the U. partita MT locus showed that the dS values were significantly higher than the dN values (Fig. 3). Although they are dependent on the substitution model and generation time, dS values are underestimated when they are greater than ~243. In total, 15 dS values for the approximate method and 13 for the maximum-likelihood method were >2, indicating that nucleotide substitution at a given site may have occurred several times and that substitutions at some sites are saturated. Thus, the possibility that the dS values estimated from this data set are not accurate cannot be ruled out. In contrast, with the exception of one gene, all dN values were <1. This suggests that the dN/dS ratios for all gametologs, except one, are <1, although dS may be over- or underestimated, and that the genes have been exposed to purifying selection with a functional constraint.
Volvox is considered to have diverged from a unicellular ancestor, similar to Chlamydomonas, at least 200 Mya12. Comparison of the MT locus/SDR and neighboring autosomal genes between Chlamydomonas and Volvox suggested that the expansion from an ancestral MT locus to an SDR involving neighboring autosomal genes occurred with cooption of gene functions12. Although the timing of the establishment of the U. partita MT locus is currently unclear, the molecular phylogeny of a gametolog among U. partita relatives was associated with mating type, and the U. partita gametologs showed high proportions of synonymous substitutions (Fig. 3). There are no fossil samples available to calibrate the molecular clock of the order Ulvales, including U. partita, and it is therefore difficult to determine the timing of the establishment of the Ulva MT locus. However, the diversity of gametologs and the molecular phylogeny within Ulvales suggest that this locus was established at least at the origin of the examined species and has experienced a long period of evolution. The low diversity of the dN/dS ratio in the U. partita gametologs suggests that no such expansion during evolution of the Volvox SDR has occurred for a prolonged period, because newer gametologs would be expected to have lower dN and dS values than those of older genes if there had been expansion involving the addition of autosomal genes adjacent to the MT locus9; alternatively, rapid gene losses may have been occurring, and this may be related to a larger number of mating type-specific genes than are present in other green linage organisms. This is similar to the SDR of the UV chromosome in Ectocarpus, which was estimated to have been established more than 70 Mya17.
Evolutionary relationship between Chlamydomonas MID and an MT locus gene encoding an RWP-RK domain
In the Chlorophyta, a gene determining mating type has been identified only in Chlamydomonas, namely, Minus Dominance (MID), which is located at the mt− MT locus29. This gene encodes a putative transcription factor containing an RWP-RK domain, which includes a leucine zipper-like motif29,30. Although MID homologs have been found across the Volvocales and the Volvox MID (VcaMID) is located on the SDR of the V chromosome in males, genetic manipulation data and the constitutive expression of VcaMID in males during both vegetative and sexual stages suggest that this gene does not play a role in sex determination but instead has a sex-specific function in the differentiation of male vegetative cells into sperm9,31,44. One RWP-RK domain-containing gene was found only at the mt− MT locus of U. partita and was named RWP1 (Fig. 4). Genes containing the RWP-RK domain are present in the genomes of various plants, including green algae, and their orthologs in Arabidopsis play roles in the development of eggs and embryos45,46,47,48,49. Although RWP1 is a potential determinant of mating type, transcriptome analysis showed that it is expressed even in gametophytes, with a slight increase at an early time point, and decreases to the initial level in gametes, suggesting that this gene is related to mating type differentiation at the transcriptional level (Fig. 5C). This is similar to the case of Volvox MID 9. If RWP1 is a master gene for mating type determination, future studies should address whether post-transcriptional or post-translational regulation occurs during gametogenesis and, if so, which mechanisms underlie this process.
Degeneration of U. partita MT locus genes
Expression levels of most of the MT locus genes were constant during gametogenesis in both mating types, and those of gametologs were much higher than those of mating type-specific genes (Fig. 5E,F). Ectocarpus sp. show much lower transcript abundance in haplotype mating type-specific SDR genes, and this may reflect degradation of the promoter and cis-regulatory sequences of these SDR genes17. This corresponds to the mating type-specific genes of U. partita. Although comparisons among species closely related to U. partita are required, these low levels of mating type-specific gene expressions may indicate their degeneration via mutations not only in protein-coding sequences but also in promoter regions. Degeneration is supported by the presence of degeneration signals such as relaxed codon usage bias in both gametologs and mating type-specific genes (Supplementary Table 14).
Expression of U. partita MT locus genes
The low dN/dS ratios of gametologs suggest that their gene functions are conserved between mating types. The mating type-specific genes confer genetic differences between mating types after meiosis and may lead to dimorphism between them. U. partita shows no difference between opposite mating type gametophytes, and only structural differences were found between gametes. Constitutive expression and expression changes during gametogenesis in most of the MT locus genes indicate that their functions are identical during each stage. A group of mt− gametologs (cluster No. 3) exhibited significantly increased expression levels at the early stage of gametogenesis. These genes encoded orthologs of actin (ACTB1m), alfin-like protein (ALP1m), small nuclear ribonucleoprotein polypeptide G (SNR1m), proliferation-associated protein 1 (PRP1m), and eukaryotic initiation factor (eIF1m) that are expected to be involved in important cellular functions, and their allelic genes, except eIF1m and PRP1m, did not show changes in expression levels, suggesting that these genes may modulate differentiation of gametes via transcriptional regulation. On the other hand, other mating type-specific genes (RWP1 and 06021m) were upregulated, and still others were downregulated; most of them, except RWP1, were shown to encode proteins with no homology to known proteins, making it difficult to predict their function(s) during gametogenesis. Our group and another team have developed a system to introduce and transiently express a transgene using a polyethylene glycol method. This method, as well as the application of other methods, including RNA interference and genome-editing technologies, will provide further information regarding the molecular functions of the MT locus and its constituent genes50,51.
In conclusion, we identified a locus linked to mating type in the green macroalga U. partita with an isomorphic haploid-diploid life cycle and without oogamy. This locus was highly rearranged and exhibited suppressed recombination for a prolonged period. In addition, the U. partita MT locus has features similar to UV chromosomes. Although the U. partita mt− MT locus harbored a gene encoding a protein containing an RWP-RK domain, RWP1, which is found in the Chlamydomonas mating type determination gene MID, this gene is not an ortholog of MID. During gametogenesis, the expression level of RWP1 increased once and then decreased in gametes as much as in gametophytes.
Materials and Methods
Algal materials and culture conditions
Algal strains
The pairs of mt− (MGEC-2) and mt+ (MGEC-1) strains of Ulva partita used were collected from the coast of Japan (Supplementary Table 7)23,24,25,52. We recently renamed this species from Ulva compressa to U. partita based on its molecular phylogeny and morphology35. The Ulva strains were obtained from culture collections at Kochi University, and their mating types were determined previously based on gamete sizes53,54,55. The strains are maintained in the culture collection of Nagasaki University (Nagasaki, Japan).
Culture conditions
Laboratory cultivation and induction of gametogenesis were performed as described previously23,56. Briefly, thalloid gametophytes were grown at 16 °C under 150 µmol photons m−2 s−1 light under a 10 h:14 h light (L):dark (D) cycle in artificial seawater for 28 days. Then, 2 days after the induction of gametogenesis by rinsing several times and transferring to long-day conditions at 23 °C under 150 µmol photons m−2 s−1 light under a 14 h:10 h L:D cycle in seawater, migrating gametes were released from the gametophytes. Positive phototaxis was used to collect the gametes. This alga was cultured with symbiotic bacteria because inappropriate development occurs in the absence of symbiotic bacteria.
Genome and RNA-sequencing
DNA isolation
To remove bacterial DNA contamination prior to genome sequencing, gametic cells were gathered by illumination using a natural white fluorescent light that induced positive phototaxis. Gametes of both mating types with a fresh weight (FW) of approximately 1.5 g were collected. The collected gametic cells were frozen in liquid nitrogen, ground, and subjected to genomic DNA isolation using a Plant Maxi Kit (QIAGEN, Venlo, The Netherlands).
RNA extraction
Gametic cells were collected by the same method as used to gather cells for RNA isolation. Gametophytic thalli were collected at 0, 24, and 48 h after the induction of gametogenesis, and three replicates of each mating type were included. Total RNA was extracted from 50 mg of gametic cells and gametophyte thalli using an RNeasy Plant Mini Kit (QIAGEN) according to the manufacturer’s protocol. Contaminating DNA was removed using RNase-Free DNase I (QIAGEN).
DNA and RNA-sequencing
Genomic sequences of U. partita MGEC-1 and MGEC-2 were determined using PacBio single-molecule real-time sequencing (long reads) and Illumina MiSeq for paired-end (PE) short reads. Briefly, for PacBio sequencing, a library was constructed using the PacBio DNA Template Prep Kit 2.0 (Pacific Biosciences, CA, USA) according to the manufacturer’s protocol. For Illumina sequencing, a library was constructed using the TruSeq- DNA LT Sample Prep Kit (Illumina, CA, USA). The PacBio sequencing and selection of reads of more than 500 bp provided 1.7 M reads of 12.0 Gb and 2.7 M reads of 16.6 Gb from the mt− and mt+ genomes, respectively. The average lengths of mt− and mt+ PacBio reads were 7182 and 6136 bp, respectively. The Illumina sequencing generated 271 M reads of 100 bp (totaling 27.1 Gb) and 252 M reads of 100 bp (totaling 25.2 Gb) from the mt− and mt+ genomes, respectively. Sequences in the obtained long reads were corrected by mapping the short reads and comparing individual sites, and the corrected long reads were assembled into scaffolds using HGAP3 software (Pacific Biosciences, CA, USA). Finally, BLASTN analysis was performed using the scaffolds as query sequences against the RefSeq microbial genome database (http://www.ncbi.nlm.nih.gov/refseq/) with a threshold e-value of 1 × 10−30 to exclude contaminating sequences from the symbiotic bacteria. For mt− and mt+ genomes, the final numbers of scaffolds after removing bacterial genome contamination were 851 and 1385, and the total lengths of scaffolds were 110.2 and 116.7 Mb. These sequences were used for later analyses. After assembly, the Illumina short reads were mapped onto the assembled sequences of both mating types. The proportions of properly paired reads were 99.8% and 99.5%, respectively. In addition, the proportions for mt− scaffold 632 and mt+ scaffolds 4 and 898 were 99.2%, 99.1%, and 99.4%, respectively.
For RNA-seq, the purification of mRNA from total RNA and construction of a cDNA library from the purified mRNA were performed using TruSeq RNA Sample Preparation (ver. 2; Illumina). The cDNA library was sequenced using an Illumina HiSeq 2500 instrument. A summary of the reads obtained is shown in Supplementary Table 1.
Identification of mating type-specific long genomic sequence reads
The long reads and the scaffolds were used to identify mating type-specific genomic regions. First, the corrected long reads from mt− were mapped to the scaffolds from mt+ by BLAST search57 using the criteria of nucleotide sequences >3 kb matched with 97% identity and a gap length of less than 100 bp, and then the unmapped long reads were obtained. For the individual mating types, RNA-seq data derived from the gametes and the gametophytes before gametogenesis were assembled into isotigs using Newbler (Roche Applied Science, Penzberg, Germany) with default parameters, and these isotigs were used as gene models. The isotigs of a mating type were mapped on the scaffolds of the same mating type. The mt− unmapped long reads on the above mt+ long scaffolds were used as query sequences against a database generated from the mt− scaffolds using BLASTN, and a pool of long reads with e-values of >1 × 10−100 was selected. From the selected long reads, MTS reads were defined using the following criteria: 1) identity with a region overlapping the read was less than 80%, 2) the read contained the gene model(s), and 3) length >1 kb. An equivalent analysis of the mt+ long reads was also performed. Finally, 241 and 320 sites were identified for mt− and mt+, respectively. A summary of the MTS reads is shown in Supplementary Table 2.
Identification of MTS genomic scaffolds
To identify genomic regions in which successively mapped MTS reads were present, “moving sums” were calculated. The length of a read among the MTS reads on a scaffold and lengths of n − 1 reads toward the 3′ end from the first read were summed (l, vertical axis in Supplementary Fig. 3) and defined as the “moving sum” unit. From a read at the 5′ end of a scaffold to its 3′ end, the same calculations of moving sums were performed. In addition, the distance between the position at the 5′ end of the first read of a moving sum and the position at the 3′ end of its last read, which were n reads, was calculated (L, horizontal axis in Supplementary Fig. 3). All moving sums for n = 5, 10, and 15 were calculated. The l/L ratio was used as an index of the extent to which the MTS reads were successive on a scaffold that is part of the U. partita genome. If the moving sum is completely successive, the ratio will be >1. MTSs that met the following criteria were subjected to further analysis: (1) l/L was >0.1, (2) l was >50 kb in n = 15, and (3) L was >1 Mb. Scaffold 632 from mt− and Scaffold 4 and Scaffold 898 from mt+ were identified as containing highly successive MTS reads (HMTS scaffolds).
Comparison of MTS genomic scaffolds from mt− and mt+ genomes
The data from short reads, MTS reads, Cufflinks gene models (not the same as the models from isotigs: see RNA-seq analysis for the generation of these gene models), and RNA-seq reads from gametes and gametophytes were mapped onto the scaffolds and visualized using the GBrowse genome browser58. The HMTS scaffolds were used as query sequences against the database for the opposite mating type using LAST (long-sequence alignment software) with default parameters59, and their counterpart scaffolds were identified. This process was performed reciprocally, and three scaffolds for mt− (#632, #629, and #1214) and four scaffolds for mt+ (#4, #898, #462, and #469) were identified. These scaffolds were aligned and visualized as a dot plot using a script in the LAST software with default parameters. Finally, the mt− and mt+ HMTS scaffolds were estimated as complementary scaffolds, and the sums of the HMTS scaffolds and adjacent scaffolds for mt− and mt+ were 7.19 and 7.33 Mb, respectively.
Comparison and visualization of the MT locus
The regions containing HMTS reads were ~1.0 and ~1.5 Mb, respectively. RNA-seq data of gametes and gametophytes in the individual mating types were merged and assembled using Newbler, and CDSs were generated automatically. These isotigs, were mapped on the genomic assemblies of both mating types, and genes contained in these regions were identified from the isotig gene models. In total, 84 and 95 genes with splicing variants were identified for mt− and mt+, respectively (Supplementary Tables 3 and 4). Clustering analyses using the DNACLUST package60 were performed for the genes in the HMTS genomic regions in mt− and mt+; after manual correction of the clusters, they were classified into 46 and 67 clusters that were defined as splicing variants transcribed from individual loci. These genes were compared by using reciprocal BLASTX analyses61 with e-values of >1 × 10−3, and 23 were identified as gametologs (Supplementary Table 5). Representative genes were selected and their positional data in the scaffolds were visualized using the ggplot2 (1.0.0) and ggbio (1.14.0)62 packages in R (3.1.3). The resulting data were modified using drawing software. The identified regions in the mt− and mt+ scaffolds were termed the MT loci. The nucleotide sequences of the MT loci were submitted to the DNA Data Bank of Japan (DDBJ; accession numbers: LC091542 for the mt+ MT locus; and LC091540 and LC091540 for mt− MT loci in scaffolds 4 and 898, respectively). The nucleotide sequences of the MT locus genes for RNA-seq analysis were submitted to DDBJ, and the accession numbers are shown in Supplementary Tables 3 and 4.
Segregation analysis
From MGEC-5 (mt−) and MGEC-2 (mt−) gametophytes, gametes were induced and mixed. Then, mated zygotes were gathered together by negative phototaxis. After cultivation for 3 weeks, some sporophytes were transferred to MGEC-5 or MGEC-2 culture flasks, from which zoospores were induced by the same method as for the gametogenesis. Microscopy was used to determine whether the zoospores had four flagella, which are different from gametes with two flagella. Zoospores that showed exactly four flagella were cultured in 1-L flasks for 3 weeks. Approximately 100 small gametophytes of MGEC-5/MGEC-2 progeny were transferred into respective 1-L flasks and cultured for 3 weeks. Before checking the mating types, small pieces of thalli were collected, frozen in liquid nitrogen and stored at −80 °C until the extraction of genomic DNA. Gametes were induced from approximately 50 healthily developed gametophytes. MGEC-2 (mt−) and MGEC-1 (mt+) were used as testers. After mixing the gametes of MGEC-5/MGEC-2 progeny with mt− or mt+ testers, mating was checked by negative phototaxis and the observation of zygotes. Finally, the mating types of a total of 16 MGEC-5/MGEC-2 progeny were determined.
Identification of repeats
To identify repetitive sequences, we used RepeatMasker (ver. 4.05) and RepBase (20140131) with RepeatMasker in polymorphism mode (Open-4.0. 2013–2015, http://www.repeatmasker.org). From all mt− genome assemblies, in total, 92 kb of repeats containing 1,126 transposable elements, 223 small RNAs, and one satellite were identified. For all mt+ genome assemblies, in total, 106 kb of repeats containing 1,147 transposable elements, 173 small RNAs, and one simple repeat were identified. The data of the mt− scaffolds (#632, #629, and #1214) and the mt+ scaffolds (#4, #898, #462, and #469) were extracted and visualized using R/ggbio.
Molecular evolution analysis
Phylogenetic analysis
To construct phylogenetic trees, an MT locus gene (PRA1) and a gene (GTBP1) in the flanking region of the MT locus (homologous genes) were isolated from Ulva spp. (Supplementary Table 7). The CDS regions of the two genes from the examined species were amplified using degenerate primers (mt− PRA1m/mt+ PRA1f, 5′-TTCATTGCYGTTCAAGCTACWAC-3′ and 5′-AACAAGCTCWCCRTCTTTCTCCCA-3′; G-strand telomere-binding protein 1 (GTBP1), 5′-TGGCGCACATCATGGCAAGATT-3′ and 5′-CAGCCCCACTGATCGAGCTTCAC-3′). The PCR program for PRA1 and GTBP1 consisted of one initial denaturation step for 2 min at 94 °C, followed by 45 cycles of denaturation for 30 s at 94 °C, annealing for 30 s at 50 °C, and extension for 40 s at 68 °C. Sequences were aligned using Muscle in MEGA663. Model tests for each analysis were performed using KAKUSAN 4.064. The best fit models for maximum-likelihood analysis were GTR + G for mt− PRA1m/mt+ PRA1p and J2 + G for GTBP1, based on the Akaike information criterion (AIC). Phylogenetic analyses were performed using the maximum-likelihood method in TREEFINDER65. Bootstrap values66 were obtained from analyses of 100 pseudoreplicates. The nucleotide sequences of the genes homologous to mt− PRA1m/mt+ PRA1p and GTBP1 were submitted to DDBJ, and the accession numbers are shown in Supplementary Table 7.
Using the C. reinhardtii RWP-RK domain-containing proteins defined by Chardin et al.45 as queries, RWP-RK domain-containing proteins were retrieved by BLAST analysis from data sets in Phytozome 11 (http://phytozome.jgi.doe.gov/pz/portal.html) for C. reinhardtii (ver. 5.5), Volvox carteri (ver. 2.1), Coccomyxa subellipsoidea (ver. 2.0), and Micromonas pusilla (ver. 3.0), and from NCBI for Gonium pectorale 38. MIDs for Chlamydomonas and Volvox were retrieved from NCBI9,13. U. partita autosomal genes encoding an RWP-RK domain-containing protein were identified with BLASTX using all Chlamydomonas RWP-RP domain-containing proteins as queries, similar to the description above, against the RNA-seq assembly database. The resulting data set served as input for a conserved motif analysis performed using MEME (http://meme.sdsc.edu/meme/meme.html), and five conserved motifs were identified. The five motifs were combined and used for molecular phylogenetic analyses. Phylogenetic analyses were performed using the maximum-likelihood method in MEGA6. Model tests for the analysis were also performed using MEGA6. The best-fit model, based on AIC, for the RWP-RK domain-containing proteins was JTT + G. Bootstrap values were obtained from analyses of 100 pseudoreplicates.
Calculation of synonymous and non-synonymous substitution rates
From mRNA assembly data, CDSs of gametologs were extracted, and the deduced amino acid sequences were checked manually with BLAST analyses. If the amino acid sequences were not similar between gametologs, the full-length assembly sequences were analyzed with ORF finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html) and an appropriate frame was identified. After manual checking, two gametologs were found to contain no CDSs that could form pairs with their counterparts. Pairs of CDSs for the individual gametologs were aligned using the ParaAT package67, and the alignments obtained were used to calculate the synonymous and non-synonymous substitution rates using the maximum-likelihood and approximation methods with nucleotide substitution models in the KaKs_Calculator 2.0 package68,69. For comparison with the substitution rate in U. partita, CDSs of gametologs in C. reinhardtii and V. carteri 9,13 were obtained from the NCBI database (Supplementary Table 8). The data were plotted using ggplot2 for R.
Calculation of codon usage
CDSs of all mRNAs of mt− and mt+ were extracted using a custom-made Perl script, and codons in individual CDSs were counted using the cusp command of EMBOSS (ver. 6.6.0.0). The results were merged using a custom-made Python script. From these data, the MT locus genes and autosomal genes were separated, and Pearson’s product-moment correlations and p-values for the sums of individual codons of all autosomal genes and the MT locus genes were determined using the R default “cor” command. The correlation between all autosomal mt− and mt+ genes was 0.98 (p = 2.2 × 10−16).
Amplification of MT locus genes
DNA was extracted from six U. partita strains using the CicaGeneus DNA Extraction Reagent DNA kit (Kanto Chemical, Tokyo, Japan). The mating types are given in Supplementary Table 7. To amplify DNA fragments of individual genes, the Kapa Taq PCR kit (Kapa Biosystems) was used in accordance with the manufacturer’s protocol. The PCR program for the amplification of each gene consisted of an initial denaturation step of 3 min at 95 °C, followed by 45 cycles of denaturation for 15 s at 95 °C, annealing for 15 s at 60 °C, and extension for 90 s at 72 °C. Primer sets are shown in Supplementary Table 15. The amplified DNA fragments were separated by electrophoresis and visualized by ethidium bromide staining.
RNA-seq analysis
Triplicate RNA-seq data from gametophytes, gametophytes after the induction of gametogenesis (24 and 48 h), and gametes from mt− and mt+ were obtained using an Illumina HiSeq. 2500. To compare the transcripts from the mt− and mt+ strains, the gamete and gametophyte data were merged and mapped on the mt− scaffolds and gene models (Cufflinks gene models) generated using a TopHat-Cufflinks pipeline, TopHat2 (2.0.12)/Bowtie2 (2.2.3)/Cufflinks (2.2.1)70,71,72. To compare gene expression at the MT locus during gametogenesis between the two mating types, mRNA gene models were used for the analysis using Cuffmerge from the Cufflinks results of individual genes of fragments per kilobase of exon per million fragments of mapped reads (FPKM) values, and the data were aggregated. The sum of FPKM values of all splicing variants at a locus was used to compare gametolog expression between the two mating types. Mean FPKM values were normalized relative to the maximum values, and clustering analysis was performed by the k-means method. One-way ANOVA and the Wilcoxon rank-sum test were performed for the expression data of each MT locus gene during gametogenesis. All statistical analyses were performed using R.
References
Bachtrog, D. et al. Are all sex chromosomes created equal? Trends Genet 27, 350–357, doi:https://doi.org/10.1016/j.tig.2011.05.005 (2011).
Charlesworth, B. The evolution of sex-chromosomes. Science 251, 1030–1033, doi:https://doi.org/10.1126/science.1998119 (1991).
Charlesworth, D., Charlesworth, B. & Marais, G. Steps in the evolution of heteromorphic sex chromosomes. Heredity 95, 118–128, doi:https://doi.org/10.1038/sj.hdy.6800697 (2005).
Fraser, J. A. & Heitman, J. Evolution of fungal sex chromosomes. Molecular Microbiology 51, 299–306, doi:https://doi.org/10.1046/j.1365-2958.2003.03874.x (2004).
Charlesworth, D. Plant sex chromosome evolution. Journal of Experimental Botany 64, 405–420, doi:https://doi.org/10.1093/jxb/ers322 (2013).
Crowson, D., Barrett, S. C. H. & Wright, S. I. Purifying and positive selection influence patterns of gene loss and gene expression in the evolution of a plant sex chromosome system. Mol Biol Evol 34, 1140–1154, doi:https://doi.org/10.1093/molbev/msx064 (2017).
Mable, B. K. & Otto, S. P. The evolution of life cycles with haploid and diploid phases. Bioessays 20, 453–462, doi:https://doi.org/10.1002/(sici)1521-1878(199806)20:6<453::aid-bies3>3.0.co;2-n (1998).
Immler, S. & Otto, S. P. The evolution of sex chromosomes in organisms with separate haploid sexes. Evolution 69, 694–708, doi:https://doi.org/10.1111/evo.12602 (2015).
Ferris, P. et al. Evolution of an expanded sex-determining locus in Volvox. Science 328, 351–354, doi:https://doi.org/10.1126/science.1186222 (2010).
Hamaji, T. et al. Sequence of the gonium pectorale mating locus reveals a complex and dynamic history of changes in volvocine algal mating haplotypes. G3-Genes Genom Genet 6, 1179–1189, doi:https://doi.org/10.1534/g3.115.026229 (2016).
Yamato, K. T. et al. Gene organization of the liverwort Y chromosome reveals distinct sex chromosome evolution in a haploid system. Proceedings of the National Academy of Sciences of the United States of America 104, 6472–6477, doi:https://doi.org/10.1073/pnas.0609054104 (2007).
Herron, M. D., Hackett, J. D., Aylward, F. O. & Michod, R. E. Triassic origin and early radiation of multicellular volvocine algae. Proceedings of the National Academy of Sciences of the United States of America 106, 3254–3258, doi:https://doi.org/10.1073/pnas.0811205106 (2009).
De Hoff, P. L. et al. Species and population level molecular profiling reveals cryptic recombination and emergent asymmetry in the dimorphic mating locus of C. reinhardtii. Plos Genetics 9, doi:https://doi.org/10.1371/journal.pgen.1003724 (2013).
Nakayama, S., Fujishita, M., Sone, T. & Ohyama, K. Additional locus of rDNA sequence specific to the X chromosome of the liverwort. Marchantia polymorpha. Chromosome Res 9, 469–473, doi:https://doi.org/10.1023/a:1011676328165 (2001).
Okada, S. et al. The Y chromosome in the liverwort Marchantia polymorpha has accumulated unique repeat sequences harboring a male-specific gene. Proceedings of the National Academy of Sciences of the United States of America 98, 9454–9459, doi:https://doi.org/10.1073/pnas.171304798 (2001).
McDaniel, S. F., Neubig, K. M., Payton, A. C., Quatrano, R. S. & Cove, D. J. Recent gene-capture on the UV sex chromosomes of the moss Ceratodon purpureus. Evolution 67, 2811–2822, doi:https://doi.org/10.1111/evo.12165 (2013).
Ahmed, S. et al. A haploid system of sex determination in the brown alga Ectocarpus sp. Current Biology 24, 1945–1957 (2014).
Badouin, H. et al. Chaos of rearrangements in the mating-type chromosomes of the anther-smut fungus Microbotryum lychnidis-dioicae. Genetics 200, 1275–+, doi:https://doi.org/10.1534/genetics.115.177709 (2015).
Ellison, C. E. et al. Massive Changes in Genome Architecture Accompany the Transition to Self-Fertility in the Filamentous Fungus Neurospora tetrasperma. Genetics 189, 55–U652, doi:https://doi.org/10.1534/genetics.111.130690 (2011).
Menkis, A., Jacobson, D. J., Gustafsson, T. & Johannesson, H. The mating-type chromosome in the filamentous ascomycete Neurospora tetrasperma represents a model for early evolution of sex chromosomes. Plos Genetics 4, doi:https://doi.org/10.1371/journal.pgen.1000030 (2008).
Hayden, H. S. & Waaland, J. R. Phylogenetic systematics of the Ulvaceae (Ulvales, Ulvophyceae) using chloroplast and nuclear DNA sequences. Journal of Phycology 38, 1200–1212, doi:https://doi.org/10.1046/j.1529-8817.2002.01167.x (2002).
Wichard, T. et al. The green seaweed Ulva: a model system to study morphogenesis. Front Plant Sci 6, doi:ARTN 72 https://doi.org/10.3389/fpls.2015.00072 (2015).
Kagami, Y. et al. DNA content of Ulva compressa (Ulvales, Chlorophyta) nuclei determined with laser scanning cytometry. Phycological Research 53, 77–83, doi:https://doi.org/10.1111/j.1440-1835.2005.tb00359.x (2005).
Kagami, Y. et al. Sexuality and uniparental inheritance of chloroplast DNA in the isogamous green alga Ulva compressa (Ulvophyceae). Journal of Phycology 44, 691–702, doi:https://doi.org/10.1111/j.1529-8817.2008.00527.x (2008).
Mogi, Y. et al. Asymmetry of eyespot and mating structure positions in Ulva compressa (Ulvales, Chlorophyta) revealed by a new field emission scanning electron microscopy method. Journal of Phycology 44, 1290–1299, doi:https://doi.org/10.1111/j.1529-8817.2008.00573.x (2008).
Holmes, J. A. & Dutcher, S. K. Cellular asymmetry in Chlamydomonas reinhardtii. J Cell Sci 94, 273–285 (1989).
Hiraoka, M. & Yoshida, G. Temporal variation in isomorphic phase and sex ratios of a natural population of Ulva pertusa (Chlorophyta). Journal of Phycology 46, 882–888, doi:https://doi.org/10.1111/j.1529-8817.2010.00873.x (2010).
Leliaert, F. et al. Phylogeny and molecular evolution of the green algae. Crit Rev Plant Sci 31, 1–46, doi:https://doi.org/10.1080/07352689.2011.615705 (2012).
Ferris, P. J. & Goodenough, U. W. Mating type in Chlamydomonas is specified by mid, the minus-dominance gene. Genetics 146, 859–869 (1997).
Lin, H. & Goodenough, U. W. Gametogenesis in the Chlamydomonas reinhardtii minus mating type is controlled by two genes, MID and MTD1. Genetics 176, 913–925, doi:https://doi.org/10.1534/genetics.106.066167 (2007).
Geng, S., De Hoff, P. & Umen, J. G. Evolution of Sexes from an Ancestral Mating-Type Specification Pathway. Plos Biology 12, doi:https://doi.org/10.1371/journal.pbio.1001904 (2014).
Kejnovsky, E., Hobza, R., Cermak, T., Kubat, Z. & Vyskot, B. The role of repetitive DNA in structure and evolution of sex chromosomes in plants. Heredity 102, 533–541, doi:https://doi.org/10.1038/hdy.2009.17 (2009).
Bachtrog, D. Adaptation shapes patterns of genome evolution on sexual and asexual chromosomes in Drosophila. Nat Genet 34, 215–219, doi:https://doi.org/10.1038/ng1164 (2003).
Bartolome, C. & Charlesworth, B. Rates and patterns of chromosomal evolution in Drosophila pseudoobscura and D. miranda. Genetics 173, 779–791, doi:https://doi.org/10.1534/genetics.105.054585 (2006).
de Lomana, A. L. G. et al. Transcriptional program for nitrogen starvation-induced lipid accumulation in Chlamydomonas reinhardtii. Biotechnol. Biofuels 8, 18, doi:https://doi.org/10.1186/s13068-015-0391-z (2015).
Camargo, A. et al. Nitrate signaling by the regulatory gene NIT2 in Chlamydomonas. Plant Cell 19, 3491–3503, doi:https://doi.org/10.1105/tpc.106.045922 (2007).
Yamazaki, T. et al. HAP2/GCS1 is involved in the sexual reproduction system of the marine macroalga Ulva compressa (Ulvales, Chlorophyta). Cytologia 79, 575–584, doi:https://doi.org/10.1508/cytologia.79.575 (2014).
Hanschen, E. R. et al. The Gonium pectorale genome demonstrates co-option of cell cycle regulation during the evolution of multicellularity. Nature Communications 7, 11370–11370 (2016).
Giraud, T., Yockteng, R., Lopez-Villavicencio, M., Refregier, G. & Hood, M. E. Mating system of the anther smut fungus Microbotryum violaceum: Selfing under heterothallism. Eukaryotic Cell 7, 765–775, doi:https://doi.org/10.1128/ec.00440-07 (2008).
Antonovics, J. & Abrams, J. Y. Intratetrad mating and the evolution of linkage relationships. Evolution 58, 702–709 (2004).
Johnson, L. J., Antonovics, J. & Hood, M. E. The evolution of intratetrad mating rates. Evolution 59, 2525–2532 (2005).
Ebersold, W. T. Chlamydomonas reinhardi - heterozygous diploid strains. Science 157, 447–&, doi:https://doi.org/10.1126/science.157.3787.447 (1967).
Gojobori, T. Codon substitution in Evolution and the saturation of synonymous changes. Genetics 105, 1011–1027 (1983).
Hamaji, T., Ferris, P. J., Nishii, I., Nishimura, Y. & Nozaki, H. Distribution of the sex-determining gene MID and molecular correspondence of mating types within the isogamous genus gonium (Volvocales, Chlorophyta). Plos One 8, doi:https://doi.org/10.1371/journal.pone.0064385 (2013).
Chardin, C., Girin, T., Roudier, F., Meyer, C. & Krapp, A. The plant RWP-RK transcription factors: key regulators of nitrogen responses and of gametophyte development. Journal of Experimental Botany 65, 5577–5587, doi:https://doi.org/10.1093/jxb/eru261 (2014).
Jeong, S., Palmer, T. M. & Lukowitz, W. The RWP-RK factor GROUNDED promotes embryonic polarity by facilitating YODA MAP kinase signaling. Current Biology 21, 1268–1276, doi:https://doi.org/10.1016/j.cub.2011.06.049 (2011).
Koszegi, D. et al. Members of the RKD transcription factor family induce an egg cell-like gene expression program. Plant Journal 67, 280–291, doi:https://doi.org/10.1111/j.1365-313X.2011.04592.x (2011).
Waki, T., Hiki, T., Watanabe, R., Hashimoto, T. & Nakajima, K. The arabidopsis RWP-RK protein RKD4 triggers gene expression and pattern formation in early embryogenesis. Current Biology 21, 1277–1281, doi:https://doi.org/10.1016/j.cub.2011.07.001 (2011).
Wuest, S. E. et al. Arabidopsis female gametophyte gene expression map reveals similarities between plant and animal gametes. Current Biology 20, 506–512, doi:https://doi.org/10.1016/j.cub.2010.01.051 (2010).
Oertel, W., Wichard, T. & Weissgerber, A. transformation of Ulva mutabilis (Chlorophyta) by vector plasmids integrating into the genome. Journal of Phycology 51, 963–979, doi:https://doi.org/10.1111/jpy.12336 (2015).
Suzuki, R., Yamazakil, T., Toyoda, A. & Kawano, S. A transformation system using rbcS N-terminal region fused with GFP demonstrates pyrenoid targeting of the small subunit of RubisCO in Ulva compressa. Cytologia 79, 427–427, doi:https://doi.org/10.1508/cytologia.79.427 (2014).
Ichihara, K. et al. Ulva partita sp nov., a Novel enteromorpha-like Ulva species from Japanese coastal areas. Cytologia 80, 261–270, doi:https://doi.org/10.1508/cytologia.80.261 (2015).
Hiraoka, M. et al. Different life histories of Enteromorpha prolifera (Ulvales, Chlorophyta) from four rivers on Shikoku Island, Japan. Phycologia 42, 275–284, doi:https://doi.org/10.2216/i0031-8884-42-3-275.1 (2003).
Shimada, S., Hiraoka, M., Nabata, S., Iima, M. & Masuda, M. Molecular phylogenetic analyses of the Japanese Ulva and Enteromorpha (Ulvales, Ulvophyceae), with special reference to the free-floating Ulva. Phycological Research 51, 99–108, doi:https://doi.org/10.1111/j.1440-1835.2003.tb00176.x (2003).
Shimada, S., Yokoyama, N., Arai, S. & Hiraoka, M. Phylogeography of the genus Ulva (Ulvophyceae, Chlorophyta), with special reference to the Japanese freshwater and brackish taxa. Journal of Applied Phycology 20, 979–989, doi:https://doi.org/10.1007/s10811-007-9296-y (2008).
Kuwano, K., Hashioka, T., Nishihara, G. N. & Iima, M. Durations of gamete motility and conjugation ability of Ulva compressa (Ulvophyceae). Journal of Phycology 48, 394–400, doi:https://doi.org/10.1111/j.1529-8817.2011.01110.x (2012).
Kent, W. J. BLAT - The BLAST-like alignment tool. Genome Res 12, 656–664, doi:https://doi.org/10.1101/Gr.229202 (2002).
Donlin, M. J. Using the generic genome browser (GBrowse). Current Protocols in Bioinformatics, 9.9. 1–9.9. 25 (2009).
Frith, M. C., Hamada, M. & Horton, P. Parameters for accurate genome alignment. Bmc Bioinformatics 11, doi:https://doi.org/10.1186/1471-2105-11-80 (2010).
Ghodsi, M., Liu, B. & Pop, M. DNACLUST: accurate and efficient clustering of phylogenetic marker genes. Bmc Bioinformatics 12, doi:https://doi.org/10.1186/1471-2105-12-271 (2011).
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. Journal of Molecular Biology 215, 403–410, doi:https://doi.org/10.1006/jmbi.1990.9999 (1990).
Yin, T., Cook, D. & Lawrence, M. ggbio: an R package for extending the grammar of graphics for genomic data. Genome Biology 13 (2012).
Tamura, K., Stecher, G., Peterson, D., Filipski, A. & Kumar, S. MEGA6: Molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution 30, 2725–2729, doi:https://doi.org/10.1093/molbev/mst197 (2013).
Tanabe, A. S. KAKUSAN: a computer program to automate the selection of a nucleotide substitution model and the configuration of a mixed model on multilocus data. Molecular Ecology Notes 7, 962–964, doi:https://doi.org/10.1111/j.1471-8286.2007.01807.x (2007).
Jobb, G., von Haeseler, A. & Strimmer, K. TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics (Retraction of vol 4, 18, 2004). Bmc Evol Biol 15, doi:https://doi.org/10.1186/s12862-015-0513-z (2015).
Felsenstein, J. Confidence-limits on phylogenies - an approach using the bootstrap. Evolution 39, 783–791, doi:https://doi.org/10.2307/2408678 (1985).
Zhang, Z. et al. ParaAT: A parallel tool for constructing multiple protein-coding DNA alignments. Biochemical and Biophysical Research Communications 419, 779–781, doi:https://doi.org/10.1016/j.bbrc.2012.02.101 (2012).
Wang, D., Zhang, Y., Zhang, Z., Zhu, J. & Yu, J. KaKs_Calculator 2.0: A toolkit incorporating gamma-series methods and sliding window strategies. Genomics Proteomics & Bioinformatics 8, 77–80, doi:https://doi.org/10.1016/s1672-0229(10)60008-3 (2010).
Zhang, Z. et al. KaKs_calculator: Calculating Ka and Ks through model selection and model averaging. Genomics Proteomics & Bioinformatics 4, 259–263, doi:https://doi.org/10.1016/s1672-0229(07)60007-2 (2006).
Kim, D. et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biology 14, doi:https://doi.org/10.1186/gb-2013-14-4-r36 (2013).
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nature Methods 9, 357–U354, doi:https://doi.org/10.1038/nmeth.1923 (2012).
Trapnell, C. et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nature Protocols 7, 562–578, doi:https://doi.org/10.1038/nprot.2012.016 (2012).
Acknowledgements
We thank Dr. Tsuyoshi Takeshita for the computer support; Mr. Mikiya Endo, Mr. Kan Ito, and Mr. Yasuo Shimizu for assistance with the experiments; Ms. Kiyomi Imamura and Ms. Terumi Horiuchi for the RNA-seq analysis; and all members of the Plant Life System Laboratory for their assistance with this research. We also thank Dr. Masanori Hiraoka of Kochi University for providing the Ulva strains. This study was funded by JSPS KAKENHI (no. 25291070) and MEXT KAKENHI (no. 221S0002) to K.S.
Author information
Authors and Affiliations
Contributions
S.K. conceived the study, designed the research, and supervised the study. K.K., R.S., and K.I. maintained and cultured the strains. R.S. and K.I. prepared genomic DNA samples and R.S. prepared RNA samples. A.T., K.O., and M.H. sequenced genomic DNA and assembled the sequences. Y.S. and S.S. sequenced mRNA. A.T. and T.Y. analyzed the genome structures and transcriptome. R.S. performed the genetic analysis. T.Y. and K.I. performed the molecular evolution analysis. T.Y., R.S., and K.I. prepared the figures and tables. T.Y. wrote the manuscript, and R.S., K.I., K.K., S.M., and S.K. assisted in writing the manuscript.
Corresponding author
Ethics declarations
Competing Interests
The authors declare that they have no competing interests.
Additional information
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Yamazaki, T., Ichihara, K., Suzuki, R. et al. Genomic structure and evolution of the mating type locus in the green seaweed Ulva partita . Sci Rep 7, 11679 (2017). https://doi.org/10.1038/s41598-017-11677-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-017-11677-0
This article is cited by
-
Genome-wide SNP markers provided insights into the reproductive strategy and genetic diversity of the green tide causative species Ulva prolifera in China
Journal of Oceanology and Limnology (2024)
-
Transcriptional dynamics of gametogenesis in the green seaweed Ulva mutabilis identifies an RWP-RK transcription factor linked to reproduction
BMC Plant Biology (2022)
-
Gamete dimorphism of the isogamous green alga (Chlamydomonas reinhardtii), is regulated by the mating type-determining gene, MID
Communications Biology (2022)
-
First record of Ulva californica in the mainland of China: a single alien parthenogenetic population in discontinuous distribution
Journal of Oceanology and Limnology (2022)
-
Switching it up: algal insights into sexual transitions
Plant Reproduction (2021)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.