Abstract
Tandem repeats can occupy a large portion of plant genomes and can either cause or result from chromosomal rearrangements, which are important drivers of dysploidy-mediated karyotype evolution and speciation. To understand the contribution of tandem repeats in shaping the extant Senna tora dysploid karyotype, we analyzed the composition and abundance of tandem repeats in the S. tora genome and compared the chromosomal distribution of these repeats between S. tora and a closely related euploid, Senna occidentalis. Using a read clustering algorithm, we identified the major S. tora tandem repeats and visualized their chromosomal distribution by fluorescence in situ hybridization. We identified eight independent repeats covering ~85 Mb or ~12% of the S. tora genome. The unit lengths and copy numbers had ranges of 7–5,833 bp and 325–2.89 × 106, respectively. Three short duplicated sequences were found in the 45S rDNA intergenic spacer, one of which was also detected at an extra-NOR locus. The canonical plant telomeric repeat (TTTAGGG)n was also detected as very intense signals in numerous pericentromeric and interstitial loci. StoTR05_180, which showed subtelomeric distribution in Senna occidentalis, was predominantly pericentromeric in S. tora. The unusual chromosomal distribution of tandem repeats in S. tora not only enabled easy identification of individual chromosomes but also revealed the massive chromosomal rearrangements that have likely played important roles in shaping its dysploid karyotype.
Keywords: satellite DNA, Senna tora, tandem repeats, dysploidy, fluorescence in situ hybridization, whole genome duplication, karyotype
Introduction
Numerous genome studies have shown the ubiquity and abundance of repetitive elements in plant genomes and have validated the crucial role of repeats in genome structure, function, and evolution (Wicker et al., 2007; Shatskikh et al., 2020). Once notoriously labeled as “junk DNA,” repetitive elements are now known as important players in gene regulation, stress response, and genome stability (Fedoroff, 2012). However, the same repeats are also substrates for, and byproducts of, chromosomal rearrangements, thereby driving variations in chromosome structure between closely related lineages (Schubert and Lysak, 2011; Murat et al., 2017). Tracing the dynamics of different repeat families among closely related taxa could therefore provide insights into a genome's evolutionary past (Long et al., 2013; Waminal et al., 2018b).
Repetitive elements are classified into two major types: dispersed repeats and tandem repeats. Dispersed repeats, such as transposable elements, are scattered either sparsely or extensively in one or more genomic loci without following a head-to-tail organization (Frello and Heslop-Harrison, 2000). In contrast, tandem repeats follow a head-to-tail organization in one or more genomic loci. They include microsatellites (2–5 bp of usually 10–100 units), minisatellites (6–100 bp of 0.5–30 kb arrays), and longer satellites with varied unit lengths (usually 150–400 bp) and array size of up to several megabase pairs (Mehrotra and Goyal, 2014; Garrido-Ramos, 2017).
Tandem repeats are abundant in heterochromatic regions of chromosomes, such as the (peri)centromere and (sub)telomere. Although a single satellite family often dominates either of these chromosomal regions (Garrido-Ramos, 2017), many other repeats occupy these sites at low copies forming a library of repeats that could amplify at any favorable time, such as in response to genomic shock (Fedoroff and Bennetzen, 2013; Ruiz-Ruano et al., 2016). Moreover, ectopic (non-allelic) (micro)homologies between the (peri)centromere and (sub)telomere make these regions hotspots for chromosomal rearrangements (Salser et al., 1976; Kubis et al., 1998; Schubert and Lysak, 2011; Pellestor and Gatinois, 2018; Rosato et al., 2018; Hartley and O'Neill, 2019).
Chromosomal rearrangements may occur either intrachromosomally via segmental deletion, addition, or inversion, or interchromosomally via arm translocation, telomere-telomere “fusions” (also known as end-to-end translocation [EET]), and nested chromosome insertion (NCI) (Mandáková et al., 2019). Interchromosomal rearrangements can generate dysploid karyotypes, that is, altered chromosome numbers (Murat et al., 2010; Schubert and Lysak, 2011; Mandáková and Lysak, 2018). When chromosomes are fragmented and the fragments maintain or develop centromere function, species with increased chromosome numbers (ascending dysploid) are produced (Rousselet et al., 2000; Chung et al., 2011; Mandáková and Lysak, 2018; Schubert et al., 2020). Conversely, EET and NCI could generate species with fewer chromosomes (descending dysploid) (Rousselet et al., 2000; Mandáková and Lysak, 2018). For example, EETs have been implicated in the karyotype evolution of the ant Myrmecia pilosula (Imai and Taylor, 1989), human (Ijdo et al., 1991), and many crucifers (Mandáková et al., 2017), whereas NCI is more prevalent in grasses (Luo et al., 2009; Murat et al., 2010). Moreover, dysploidy, particularly descending dysploidy, is more prevalent in angiosperms than originally thought (Sousa and Renner, 2015; Levin, 2020).
Although tandem repeats have the potential to generate chromosome rearrangements, they could also be a product of such rearrangements, that is, tandem repeats and chromosomal rearrangements are closely associated (Sousa and Renner, 2015; Louzada et al., 2020). Tandem repeats can also undergo massive amplification through concerted evolutionary processes, including unequal crossing over, replication slippage, gene conversion, or rolling circle replication of circular DNA (Charlesworth et al., 1994; Cohen and Segal, 2009; Rosato et al., 2018). Sometimes, novel repeat families arise after re-establishing genome stability from stressful events, such as a whole-genome duplication (WGD) (Fedoroff, 2012), which sometimes generates new taxonomic lineages (Murat et al., 2010; Waminal et al., 2016). Because the fixation of tandem repeats in terms of abundance and chromosome location may vary across different taxa in a clade (Perumal et al., 2017), quantifying and chromosomal mapping of tandem repeats can provide useful data to understand genome history and species relationships.
The genus Senna (Family Leguminosae, Subfamily Caesalpiniaceae) comprises many anthraquinone-producing medicinal plants (Jang et al., 2007; Puri, 2018; Kang et al., 2020b). Specifically, Senna tora L. (Roxb) (syn. Cassia tora L.) has been used traditionally as a dying agent, tea, or herbal medicine in several Asian countries, such as India, China, and Korea, and is now gaining global attention, prompting its genome sequencing initiative (Puri, 2018; Kang et al., 2020a).
The predominant diploid chromosome number in Senna is 2n = 28. However, species with descending dysploid karyotypes of 2n = 22–26 have also been reported, including S. tora with 2n = 26 chromosomes (Pellerin et al., 2019). The taxonomic classification of S. tora and its related species is still ambiguous (Marazzi et al., 2006), and although the genome of S. tora has been released recently, no comprehensive comparative genomics with related Senna species has been performed to understand its genome evolution (Kang et al., 2020a). Nevertheless, analyzing the abundance of repeats using short next-generation sequencing reads and their chromosomal distribution through fluorescence in situ hybridization (FISH) could provide relevant insights into the karyotype evolution and genome history of S. tora (Ruiz-Ruano et al., 2016; Novák et al., 2017).
Here, we performed in silico mining for high-abundance tandem repeats in the S. tora genome using 0.1× whole-genome short reads. We then visualized the chromosomal distribution through FISH using repeat-specific pre-labeled oligo probes (PLOP) to understand the composition and role of tandem repeats in S. tora karyotype evolution. Unconventional chromosomal distribution of S. tora tandem repeats, especially when compared with its closely related species, Senna occidentalis, provided cytogenetic evidence of past extensive chromosomal rearrangements that may have shaped the extant S. tora genome.
Materials and Methods
Plant Samples
S. occidentalis and S. tora seeds were kindly provided by the Department of Herbal Crop Research, NIHHS, RDA, Eumseong 369–873, South Korea. Seeds were germinated in potting soil and incubated in the greenhouse at 24–26°C. Root tips were treated with 2 mM 8-hydroxyquinoline for 4 h, fixed with aceto-ethanol (1:3 v/v), and stored in 70% ethanol at 4°C until use.
Chromosome Spread Preparation
Sporophytic metaphase chromosome slide preparations were performed according to the technique of Waminal et al. (2012) with some modifications. Briefly, meristematic tips (~2 mm) were digested in a 50 μl pectolytic enzyme solution (2% Cellulase RS [Duchefa, Haarlem, The Netherlands, C8003.001] and 1% Pectolyase Y-23 [Duchefa, P8004.0001] in 100 mM citrate buffer) for 2 h at 37°C, and washed with distilled water. Roots were then transferred into a microtube containing chilled Carnoy's solution and vortexed for 30 s at room temperature. After disposing of the supernatant, the pellet was resuspended in (9:1 v/v) aceto-ethanol. The cellular suspension was then pipetted onto clean glass slides prewarmed in a humid chamber. After air-drying, slides were fixed for 5 min in 2% formaldehyde (Vrana et al., 2012), quickly dipped into distilled water, and dehydrated using ascending concentrations of ethanol (70, 90, and 100%).
Repeat Mining and Quantification
Paired-end reads (100 bp), about 2.9× of the 686 Mb S. tora genome (Ohri et al., 1986), were obtained from the International Cooperation Team, International Technology Cooperation Center, RDA, Jeonju 54875, South Korea. Read quality trimming, read sampling, and repeat clustering were carried out using TAREAN (Novák et al., 2017). All consensus sequences were generated by TAREAN except for the Sto_5S rDNA, StoIGS_463, StoIGS_293, and StoIGS_188. The 5S rDNA contig was identified from dnaLCW analysis (Kim et al., 2015) using CLC Genomics Workbench (CLC Inc., Aarhus, Denmark) and annotated by BLAST against the 5S rDNA database (Szymanski et al., 2016). StoIGS_463, StoIGS_293, StoIGS_188, and other repeats in the IGS of 45S rDNA were identified using Tandem Repeats Finder (Benson, 1999) and BLAST (Altschul et al., 1990). Tandem repeats identified with TAREAN were named following a similar nomenclature as Ruiz-Ruano et al. (2016). The four 45S rDNA contigs generated by TAREAN were assembled manually using the CLC Genomics Workbench. Sequences were submitted to Genbank and accession numbers are shown in corresponding tables.
We quantified the copy number and genome proportion of each repeat by mapping 2.7× trimmed short reads to the consensus sequences of the tandem repeats using CLC Genomics Workbench (CLC Inc.) and normalized the values to the 686-Mb 1C genome size of S. tora. For the 45S rDNA, we used only the 5,833 bp coding region without the IGS for quantification because of the different repeats in the IGS that could distort quantification. Short repeats were concatenated to form longer arrays for efficient read mapping.
Probe Design
To visualize the chromosomal distribution of the repeats, we designed pre-labeled oligonucleotide probes (PLOPs). PLOPs for StoTR01_86, StoTR03_178, StoTR04_55, StoTR05_180, StoTR06_159, and StoIGS_463 were designed using the CLC Main Workbench and were synthesized by Bioneer (Daejeon, South Korea). PLOPs previously developed for the coding regions of the 5S rDNA and 45S rDNA, and the Arabidopsis-type telomeric repeat, which has the same sequence as StoTR02_7_tel, were used to localize these repeats (Waminal et al., 2018a). Details of the designed PLOPs are summarized in Supplementary Table 1.
FISH and Karyotyping
A rapid FISH method was performed for PLOP-labeled probes (Waminal et al., 2018a). For PCR amplicon probes labeled via nick-translation, FISH was performed according to a modified procedure of Waminal et al. (2020). Homologous chromosomes were identified based on their FISH signals, morphological characteristics, and lengths considering previous karyotype data for S. tora (Pellerin et al., 2019). Karyograms were created using Adobe Photoshop CS6, whereas the idiogram and other diagrams were generated using Adobe Illustrator CS6.
Results
Tandem Repeats With Various Lengths Comprise >12% of the S. tora Genome
A total of eight tandem repeats were identified using both TAREAN and dnaLCW (Table 1). Short read clustering of approximately 0.1× of the 686 Mb S. tora genome (Ohri et al., 1986), using TAREAN, generated seven satellite consensus sequences (Figure 1, Table 1). Of these, three were minisatellites: the canonical (Arabidopsis-type) plant telomeric minisatellite (TTTAGGG)n, which we named StoTR02_7_tel, StoTR01_86, and StoTR04_55. Three were satellites (StoTR03_178, StoTR05_180, and StoTR06_159), and one is the 45S rDNA coding sequence (Sto_45S_CDS).
Table 1.
No | Name | Analysis tool | Length (bp) | AT (%) | Copy no. | Length (kb)a | GP (%)b | Accession no. |
---|---|---|---|---|---|---|---|---|
1 | StoTR01_86 | TAREAN | 86 | 65 | 313,414 | 26,953.6 | 3.93 | MW143025 |
2 | StoTR02_7_tel | TAREAN | 7 | 57 | 2,888,813 | 20,221.7 | 2.95 | MW143031 |
3 | StoTR03_178 | TAREAN | 178 | 49 | 85,581 | 15,233.4 | 2.22 | MW143027 |
4 | StoTR04_55 | TAREAN | 55 | 71 | 194,692 | 10,708.1 | 1.56 | MW143024 |
5 | StoTR05_180 | TAREAN | 180 | 58 | 13,772 | 2,478.9 | 0.36 | MW143028 |
6 | StoTR06_159 | TAREAN | 159 | 47 | 14,432 | 2,294.7 | 0.33 | MW143026 |
7 | Sto_45S_CDS | TAREAN | 5,833 | 45 | 1,225 | 7,148.2 | 1.04 | MW143033 |
8 | Sto_5S | dnaLCW | 181 | 48 | 325 | 87.4 | 0.01 | MW143032 |
Length (kb) = copy number × repeat length/1,000.
Genome Proportion = length/S. tora genome size (686 Mb) × 100.
Three other clusters from the TAREAN output were grouped with the Sto_45S_CDS into a single 45S rDNA supercluster. Assembling these clusters generated a 10,235 bp 45S rDNA consensus with a 5,833 bp coding sequence (CDS) and a 4,402 bp intergenic spacer (IGS, Figure 2A, Table 1). The TAREAN pipeline was not able to generate any cluster associated with the 5S rDNA, indicating a low copy number in the S. tora genome. Therefore, to assemble the 5S rDNA sequence, we performed a de novo assembly of 2.7× short reads using the dnaLCW method (Kim et al., 2015). This approach enabled the identification of a 181 bp 5S rDNA contig, Sto_5S (Figure 2B, Table 1).
All eight tandem repeats represented 0.01~ 3.93%, totaling 12.4%, of the S. tora genome (Table 1). In terms of total physical length, five repeats covered >7 Mb or >1% genome proportion (GP) (Table 1). StoTR01_86 covered ~27 Mb or 3.9% GP followed by StoTR02_7_tel (~20 Mb, 2.7%), StoTR03_178 (~15.2 Mb, 2.2%), StoTR04_55 (~10.7 Mb, 1.6%), and Sto_45S_CDS (~7.1 Mb, 1.0%). Because of the various repeats in the 45S rDNA IGS which could potentially distort quantification (see below), we only used the CDS for 45S rDNA length and GP estimation. The actual values are expected to be higher. The other three repeats each had <1% GP, of which Sto_5S had the lowest values for length and GP at 87.4 kb and 0.01%, respectively.
Shorter REs tended to have higher copy number. The shortest repeat, StoTR02_7_tel, showed the highest copies at 2.89 × 106 followed by StoTR01_86 (3.13 × 105), StoTR04_55 (1.92 × 105), StoTR03_178 (8.56 × 104), StoTR06_159 (1.44 × 104), and StoTR05_180 (1.38 × 104). However, the short 5S rDNA which was only 181 bp was much fewer than the 5,833 bp 45S rDNA (325 vs. 1,225 copies, respectively).
Short Duplicated Sequences Were Present in the Intergenic Spacer of S. tora 45S rDNA
We analyzed for the presence of duplicated sequences in the 4,402-bp 45S rDNA IGS region, considering that this region often carries different repeats and is known to be involved in genome reorganization in some species (Elliott et al., 2013; Havlová et al., 2016). We identified three >100 bp short duplicated sequences (Figure 2A, Table 2). The longest was 463 bp long (StoIGS_463) and was present in two copies but not tandemly arranged. The second was 293 bp long (StoIGS_293) and was present in tandemly arranged 2.8 copies toward the 3′ end of the IGS. The third was 188 bp long (StoIGS_188) and was also tandemly arranged and distributed into two disjunct sites, each immediately upstream of the StoIGS_463. The upstream and downstream sites each had 2.0 and 0.6 copies of the StoIGS_188. A short array of a 13 bp tandem repeat, StoIGS_13, was also localized upstream of the 0.6-copy StoIGS_188 locus.
Table 2.
No | Name | Type | Length (bp) | AT (%) | Copy no. | Length (kb)a | GP (%)b | Accession no. |
---|---|---|---|---|---|---|---|---|
1 | StoIGS_463 | IGS-related | 463 | 65 | 2,612 | 1,209.2 | 0.18 | MW143034 |
2 | StoIGS_293 | IGS-related | 293 | 45 | 3,292 | 964.7 | 0.14 | MW143035 |
3 | StoIGS_188 | IGS-related | 188 | 48 | 3,856 | 724.9 | 0.11 | MW143036 |
Length (kb) = copy number × repeat length/1,000.
Genome Proportion = length/S. tora genome size (686 Mb) × 100.
Mapping of short reads to the 45S rDNA consensus sequence revealed a high coverage depth bias in the StoIGS_188 regions (Figure 2A), which is indicative of either a collapsed IGS region in the consensus sequence or an extra-IGS homologous locus.
StoTR06_159 Is a Deletion Variant of StoIGS_188
Our FISH results for StoTR06_159 showed unexpected colocalization with the 45S rDNA locus (Figures 1, 3). Therefore, we mapped the StoTR06_159 PLOPs to the Sto_45S consensus sequence to identify regions of homology between StoTR06_159 and Sto_45S. Interestingly, the PLOPs mapped to the deep-coverage StoIGS_188 regions indicating sequence homology between StoIGS_188 and StoTR06_159 (Figure 2A). A sequence comparison between these two TRs revealed up to ~76% identity mostly caused by deletions in StoTR06_159 (Supplementary Figure 1). Three deletions were identified totaling 29 bp (9, 10, and 10 bp each) at 4–12, 41–50, and 82–91 nt. Outside these deletions, both TRs showed >87% identity.
FISH Revealed Predominant (peri)centromeric Distribution of S. tora Tandem Repeats
Five of the eight tandem repeats (StoTR01_86, StoTR02_7_tel, StoTR03_178, StoTR04_55, StoTR05_180), which accounted for >11% GP, showed predominantly (peri)centromeric distribution (Figure 3A, Table 3). StoTR01_86, which had the highest genome proportions among all repeats, showed nine major and three minor loci. All major loci were exclusively paracentromeric at either the short (S) or long (L) arms of these nine chromosomes. The minor signal on Chr. 11 was pericentromeric, whereas those on chromosomes 4, 9, and 12 were paracentromeric (Table 3).
Table 3.
No | Name | Locia | Chromosomal distribution |
---|---|---|---|
1 | StoTR01_86 | 9/4 | Major: paracentromeric on 9 chromosomes, 3 on short (S), and 6 on long (L) arms: (1L, 3S, 4S, 5S, 6L, 7L, 8L, 10L, and 13L). Minor: pericentromeric on chr. 11 and paracentromeric on 4L, 9S, and 12L |
2 | StoTR02_7_tel | 13 | Chromosome termini, pericentromeric in all chromosomes, interstitial on 1L, 2S, 3S, 5S, 6L, 7L, 8L, 10L, and 13L |
3 | StoTR03_178 | 13/1 | Major: centromeric in all chromosomes, Chr. 12 more intense Minor: interstitial on 7L |
4 | StoTR04_55 | 12/2 | Major: pericentromeric in all chromosomes except Chr. 9 Minor: pericentromeric in Chr. 9, interstitial on 1L |
5 | StoTR05_180 | 12/3 | Major: centromere of Chr. 2 most intense, all centromeres except for chromosome 4, interstitial regions of 6L, 7L, and 8L Minor: centromere of chromosome 4, an interstitial region of 1L and 13L |
6 | StoTR06_159 | 1/1 | Major: NOR site at 2S Minor: interstitial region of 3S |
7 | Sto_45S_CDS | 1 | 2S |
8 | Sto_5S | 1 | 12S |
9 | StoIGS_463 | 1 | Colocalized at NOR site at 2S |
Number of chromosomes bearing major/minor FISH signals.
StoTR02_7_tel, an Arabidopsis-type telomeric repeat, was unusually abundant in the S. tora genome, in both repeat clustering quantification and FISH (Figure 3, Table 1). In addition to the canonical distribution at all chromosome termini, the StoTR02_7_tel FISH signals were intense in the pericentromeric region of all chromosomes. Although distinguishing the active centromere from the pericentromeric region was not straightforward in highly condensed metaphase chromosomes, we considered the StoTR02_7_tel loci as pericentromeric because active centromeres are unlikely to carry telomeric repeats, but instead have homogenous tandem repeats like those of StoTR03_178 (Hartley and O'Neill, 2019). Moreover, upon closer examination, StoTR02_7_tel signals do not perfectly coincide with those of StoTR_178 (Figure 3A). In addition to these pericentromeric loci, nine chromosomes carry roughly equilocal StoTR02_7_tel loci at either, but not both, short or long arms (2S, 3S, 5S, 1L, 6L, 7L, 8L, 10L, and 13L) (Table 3). Equilocality of repeats at interstitial regions in a chromosome are often relics of repeat displacement from the subtelomere (Garrido-Ramos, 2015).
StoTR03_178 showed two distinct FISH signals at all metaphase chromosome centromeres, one per sister chromatid (Figure 3). The signal in chromosome 12 was noticeably more intense than those in other centromeres, and a weak signal was observed in the interstitial region of chromosome 7L. Although we did not perform immunostaining for CENH3, the hallmark of an active centromere (Kursel and Malik, 2016), for lack of S. tora-specific CENH3 antibody, it is likely that StoTR03_178 could be involved in active centromere function because of its abundant copies and distinct FISH signals characterizing functional regional centromeres (Schubert et al., 2020). StoTR05_180 was detected in all chromosome pericentromeres and some interstitial regions. The centromeric signal in chromosome 2 was more intense than in other chromosomes. In addition to the centromeric loci, five equilocal interstitial loci were observed in five chromosomes: 1L, 6L, 7L, 8L, and 13L. Signals from 1L to 13L were weak and that of 7L was colocalized with StoTR03_178 (Figure 3).
StoTR04_55 localized to the pericentromeric region in all chromosomes. Except for chromosome 9, all chromosomes had intense signals. In addition, a minor signal was observed in the interstitial region of chromosome 1L. The dispersed distribution of StoTR04_55 is characteristic of pericentromeric retrotransposons found in other plants (Lim et al., 2007). StoTR06_159 was not localized at the centromere but revealed a colocalized signal at the NOR site of chromosome 2S and a weak signal at the interstitial region of chromosome 3S.
Both Sto_45S and Sto_5S rDNA had only one locus each at chromosomes 2S and 12S, respectively, as previously reported (Pellerin et al., 2019).
FISH Revealed Specific Localization of StoIGS_463 at the 45S rDNA Locus
Because some repeats that have been identified in the 45S rDNA IGS region in S. tora and other plants have also been detected in other chromosomal loci via FISH [see StoTR06_159 and Lim et al. (2004)], we checked whether this is the same case for StoIGS_463, although we observed no evidence of biased abundance from read mapping (Figure 2A). Unlike StoIGS_188/StoTR06_159, which showed overabundance in read mapping and a weak FISH signal at chromosome 3S, StoIGS_463 did not show any extra-NOR signal, suggesting its specific localization in the 45S rDNA IGS (Supplementary Figure 2). Moreover, although we did not perform FISH with StoIGS_293, it is likely that it is also specific to the IGS based on the absence of depth variation in the read mapping similar to that of StoIGS_463 (Figure 2A).
StoTR03_178 Is a More Abundant Centromeric Sequence Variant of StoTR05_180
Centromeric repeats are often categorized into families, which share >80% identity between members, and superfamilies with <80% identity with other families (Lim et al., 2007; Ruiz-Ruano et al., 2016; Hartley and O'Neill, 2019). We compared the consensus sequences of StoTR03_178 and StoTR05_180 to see whether they are evolutionarily related. StoTR03_178 and StoTR05_180 shared ~71% sequence identity, suggesting that these are two separate families in the same S. tora centromeric superfamily (Supplementary Figure 3). Moreover, sequences homologous to CENP-B box (CENP-B box-like), which play important roles in centromere function (Okada et al., 2007), were detected in both StoTR03_178 and StoTR05_180 (Supplementary Figure 3). However, only StoTR03_178 carries a 7 bp palindromic dyad symmetry region, which could indicate active centromeric DNA (Kasinathan and Henikoff, 2018).
Moreover, StoTR03_178 was ~6-fold more abundant than StoTR05_180 in S. tora (Table 1). Although both showed centromeric distribution, StoTR03_178 was more exclusively localized in the centromeres, whereas StoTR05_180 was abundant in pericentromeric and interstitial regions (Figure 3, Table 3). In addition, while the overall identity between the two families was <80%, one StoTR05_180 FISH probe, StTR180_OP2, was ~82% identical with StoTR03_178 (Supplementary Figure 3). This probe could not distinguish between StoTR03_178 and StoTR05_180 targets, which could explain the seemingly abundant StoTR05_180 FISH loci compared with the in-silico quantification data (Table 1). Nevertheless, non-centromeric signals from StoTR05_180, particularly at the interstitial regions of 1L, 6L, 7L, 8L, and 13L, along with the intense centromeric signal on chromosome 2, indicate the presence of cytologically exclusive niches occupied by the StoTR05_180 family.
Comparative FISH With S. occidentalis Revealed Extensive Chromosomal Rearrangements in S. tora
In our previous work, we showed that S. occidentalis has interstitial telomeric repeats although not as extensive as in S. tora (Pellerin et al., 2019). To better understand the chromosomal relationship between S. occidentalis and S. tora, we performed a comparative FISH between these two species using StoTR02_7_tel and centromeric (StoTR03_178 and StoTR05_180) distribution (Figure 4A).
Both S. occidentalis and S. tora showed StoTR02_7_tel signals at the canonical sites of chromosome termini. However, aside from being detected in only three chromosomes in S. occidentalis, interstitial StoTR02_7_tel sites were much weaker in S. occidentalis than in S. tora. Moreover, we did not observe any pericentromeric StoTR02_7_tel signals in S. occidentalis. Conversely, the interstitial and pericentromeric telomere repeat signals in S. tora were more ubiquitous and more pronounced suggesting that these interstitial telomere repeat loci in S. tora could stretch several megabases (Figure 4A).
Another striking difference between S. occidentalis and S. tora is the chromosomal distribution of StoTR05_180. In S. occidentalis, StoTR05_180 was cytologically colocalized with StoTR02_7_tel at chromosome termini and at interstitial sites. Moreover, some chromosomes have weaker StoTR05_180 signals than StoTR02_7_tel, indicating fewer copies (Figure 4A). In S. tora, terminal StoTR05_180 was not detected, but the interstitial and pericentromeric StoTR05_180 signals were considerably more intense.
Discussion
We identified eight tandem repeats in the S. tora genome through clustering of homologous reads from 1× whole-genome short reads. These repeats covered >12% of the S. tora genome. The striking differences in the chromosomal distribution of these repeats between S. occidentalis and S. tora (i) provides cytological evidence of extensive chromosomal rearrangements that have occurred during S. tora speciation, (ii) highlights the roles of tandem repeats in these rearrangements, and (iii) offer a system for identifying individual S. tora chromosomes for karyotyping and cytotaxonomic studies.
Roles of Tandem Repeats in S. tora Karyotype Evolution
The numerous ectopic and highly amplified tandem repeats in the (peri)centromeric and interstitial regions in S. tora chromosomes is evidence that they have been involved in shaping the extant S. tora genome (Figure 4B), either as a cause or, more likely, as a consequence of illegitimate recombination (Murat et al., 2010). This evidence, relative to that of S. occidentalis includes: (i) the ectopic loci of interstitial and pericentromeric telomeric repeats sites besides the canonical terminal telomeric sites, (ii) the displacement of StoTR05_180 from subtelomeric in S. occidentalis to interstital and pericentromeric sites in S. tora; (iii) the amplification of StoTR03_178 specifically in S. tora; (iv) the presence of StoTR06_159 homologous sequences in the 45S rDNA IGS; and (v) the descending dysploid karyotype of S. tora.
First, interstitial telomeric repeats (ITR) have been observed in several plants, although some are not as extensive as what is seen here in S. tora (Fuchs et al., 1995; He et al., 2013). These ITRs may have been generated via descending dysploid mechanisms such as end fusions (EET) and chromosome insertions (NCI), via chromosome inversions, or via amplification and reintegration of telomeric extrachromosomal circular DNA (eccDNA) repeats (Zellinger et al., 2007; Cohen and Segal, 2009). Although the replication, amplification, anchoring, and reintegration of eccDNAs into chromosomes have been demonstrated (Zellinger et al., 2007; Cohen and Segal, 2009; Durkin et al., 2012; Koo et al., 2018), we are careful not to speculate about their supposed contribution to generating interstitial and pericentromeric telomeric repeats in S. tora because there is limited information about the mechanisms of eccDNA-induced chromosome rearrangements in plants. Nevertheless, mechanisms involving eccDNA (Cohen and Segal, 2009) could help explain the amplification of ectopic telomeric repeats after they have moved to their new sites.
Alternatively, both EET and NCI could generate ITRs. However, EET is more plausible for explaining the situation in S. tora because all interstitial telomeric signals were observed only in one arm of all chromosomes bearing this signal, contrary to both arms if they were caused by NCI. However, we cannot rule out the possibility of NCI-mediated chromosome rearrangements, which, in this case, should require a biased reduction or elimination of the interstitial telomeric repeat array size in one arm, leaving signals in one arm undetectable by FISH (Majerová et al., 2014). Nevertheless, we believe that this is unlikely to happen compared with EET, considering the low likelihood for all chromosomes with interstitial telomeric loci to receive the same single-arm signals in a presumably random process of chromosomal rearrangements.
Second, whereas EET could generate interstitial telomeric and StoTR05_180 loci, it does not explain the disappearance of subtelomeric StoTR05_180 and its subsequent accumulation at pericentromeres as well as the concomitant accumulation of pericentromeric telomeric repeat loci in S. tora. Sequence microhomology between telomeres and centromeres (He et al., 2013; Pellestor and Gatinois, 2018) may have caused paracentric inversion with breakpoints at a proximal pericentromeric region and at terminal telomeric repeat loci (rather than at subtelomeric StoTR05_180 loci), which then likely generated pericientromeric StoTR05_180 at recombination sites followed by repeat array amplification. The subsequent disruption of (peri)centromere chromatin could have altered the epigenetic makeup of these regions, promoting centromere repositioning at pericentromeric StoTR05_180 sites, as satellites are known targets for epigenetic de novo centromere formation (Okada et al., 2007; Schubert, 2018; Lu and He, 2019), and centromere repositioning is shown to be more frequent than originally thought (Mandáková et al., 2020). Repositioned kinetochore assembly at pericentromeric StoTR05_180 sites likely seeded DNA mutation and amplification of StoTR03_178 as a new centromeric repeat variant unique to S. tora.
Third, the fact that there are more abundant copies of StoTR03_178 than there are of StoTR05_180, in addition to its centromeric location, suggest a novel shift of centromeric repeat preference to StoTR03_178 resulting from reestablishing proper meiotic pairing after genomic shock (Ma and Gustafson, 2005; Schubert and Vu, 2016). Mutations in StoTR05_180 sequences likely reduced its affinity to the kinetochore, thus weakening the centromere drive (Schubert, 2018). These mutations could have seeded StoTR03_178, which may have developed a higher affinity for the S. tora kinetochore and eventually dominated the centromere, pushing the StoTR05_180 to the pericentromeric regions, similar to what has been observed in other plants (Hirsch and Jiang, 2012). In addition, StoTR03_178 was completely absent in S. occidentalis, indicating a more recent amplification in the S. tora genome. Immunostaining with S. tora CENH3 should provide insights into the active centromere sites in S. tora chromosomes.
Fourth, 45S rDNA IGS is often linked to genome rearrangements (Havlová et al., 2016). Several duplicated sequences in the 45S rDNA IGS region have been identified as independent satellites somewhere else in the genome, outside the 45S rDNA array, in several plants similar to the relationship between StoTR06_159 and StoIGS_188 (Almeida et al., 2012; Elliott et al., 2013; Kirov et al., 2018). This observation suggests the role of the 45S rDNA IGS as a “repeat carrier” during genome rearrangement. However, although some authors hypothesized that these repeats are from the IGS region, which then moved out and amplified in other chromosomal loci (Almeida et al., 2012), others hypothesize otherwise (Falquet et al., 1997). To date, there is no definitive conclusion to the directionality of IGS-related satellite evolution nor is there a conclusive mechanism to explain the process by which 45S rDNA IGS operates in this process (Almeida et al., 2012).
Lastly, the 2n = 28 chromosome number is predominant in Senna and lower numbers such as 2n = 22–26 are considered descending dysploid species (Cordeiro and Felix, 2017; Pellerin et al., 2019). In S. tora, this reduction is likely caused by a merger of two chromosomes, resulting in derivative chromosome 7, as indicated by the interstitial signal of StoTR03_178 in chromosome 7L (Figure 3). The reduced chromosome number in S. tora indicates extensive genome rearrangements in S. tora relative to that of S. occidentalis (Figure 4B).
Chromosome rearrangements in many species often involve just one or a few chromosomes, contrary to all chromosomes rearranging all at once in a concerted manner (Mandáková and Lysak, 2018). However, chromoanagenic pathways, such as chromothripsis and chromoplexy, have been shown to produce massive chromosome rearrangements involving several chromosomes via dysploid and non-dysploid mechanisms in just a few generations (Comai and Tan, 2019; Pellestor and Gatinois, 2020). It is therefore interesting to know whether the extensive chromosomal rearrangements in S. tora occurred in a rapid process, or over slow recurrent rounds of hybridization. In addition, considering that S. occidentalis has three chromosomes with interstitial StoTR02_7_tel and StoTR05_180, reconstructing the ancestral Senna karyotype will be necessary to understand karyotype evolution in Senna. Comprehensive comparative cytogenomic analyses in Senna are crucial to achieving this.
A Hypothetical Chromosomal Evolution in S. tora
WGD is pervasive in angiosperms (Jiao et al., 2011; Soltis and Soltis, 2016). During the diploidization process, which a cell's mechanism for reestablishing proper meiotic pairing after a genomic shock from WGD (Ma and Gustafson, 2005; Schubert and Vu, 2016), karyotype dysploidy may occur (Levin, 2020). Recurrent cycles of WGD and diploidization in some lineages increased the chances of genome rearrangements and dysploidy, producing taxa with different chromosome numbers (Lysak et al., 2006; Mandakova et al., 2010; Mandáková et al., 2019; Symonds et al., 2010; Jiao et al., 2011; Chalhoub et al., 2014; Murat et al., 2017; Mandáková and Lysak, 2018).
In Senna, x = 7 is considered as the base chromosome number after the discovery of Senna rugosa cytotypes with a haploid chromosome number of n = 7 (Resende et al., 2014), suggesting that species with the predominant 2n = 28 could technically be diploidized tetraploids. Comparing the chromosomal distribution of S. tora tandem repeats between S. occidentalis and S. tora, we hypothesize that the extant S. tora genome, like many angiosperms, has experienced at least two rounds of WGD in the immediate past. The diploidization that followed each WGD event may have differently influenced the S. tora karyotype temporally; such that, the former WGD may have radically reverted the chromosome number to the diploid count whereas the latter “fused” two chromosomes, generating the extant 2n = 26 dysploid karyotype (Figure 4B).
After an older WGD event, the chromosome number may have doubled to 2n = 28 from an ancestral 2n = 14 karyotype. Dysploidy and non-dysploidy mechanisms may have reverted the chromosome number to 2n = 14; a similar reversion of chromosomal number to diploid count has been observed between Zea mays and Sorghum bicolor (Murat et al., 2010; Freeling et al., 2012). A more recent WGD event may have doubled the chromosome number to 2n = 28, which is then followed by EET of two chromosomes generating chromosome 7; hence, the extant 2n = 26 karyotype of S. tora.
Nevertheless, with purely molecular cytogenetic data, it is difficult to draw a definitive conclusion on the chromosome evolution of S. tora. The current genome assembly of S. tora and comparative genome analyses in Senna should provide more insight into S. tora chromosome evolution.
Tandem Repeats for Senna Karyotyping and Cytogenetics
The chromosomal distribution of the major S. tora tandem repeats facilitated the identification of individual homologous chromosomes for karyotyping (Figure 3B, Supplementary Table 2). Because chromosomal rearrangements are less likely homoplastic, they can be used to infer phylogenetic relationships between species (Mandáková and Lysak, 2008). Repeats are used as species identifiers in cytotaxonomic studies (Guerra, 2008, 2012) because certain repeat families are widely distributed within a taxonomic family or genus, or even specific to a species, a genome, a tissue, or even a chromosome (Sharma and Raina, 2005; Ruban et al., 2014).
To gain a comprehensive understanding of the satellite repeat dynamics in Senna, a comprehensive comparative satellitome (Ruiz-Ruano et al., 2016) between Senna species will unravel clade- or species-specific abundant satellites in Senna not only for karyotyping but also for unraveling satellite dynamics and genome history in Senna.
Conclusion
The identification and chromosomal mapping of the major tandem repeats in S. tora provided cytological evidence of past genome rearrangements. We have presented here the major tandem repeats that comprise and play an active role in shaping the highly rearranged descending dysploid S. tora karyotype. Using in silico and FISH data, we hypothesized an evolutionary pathway to the extant S. tora genome involving dysploid and non-dysploid mechanisms. This chromosomal information should be complemented with molecular data because sequences used here were purely generated in silico. Amplification and sequencing of the >4 kb S. tora 45S rDNA IGS region should provide a more accurate description of the IGS structure, for example, discovery of phylogenetically important sequence variants that would help decipher not only subgenome relationships within S. tora but also with other Senna species. Moreover, comparison with different Senna species should provide further insights into the role of 45S rDNA in genome rearrangements. Lastly, phylogenomic analysis will allow testing for a correlation between chromosomal rearrangements and species divergence and trace major chromosomal events that have occurred during speciation in Senna.
To understand whether the repeats identified here are specific to S. tora or are conserved within the genus or its sub-lineages, comparative cytogenetic analyses with other related species are necessary. Moreover, whereas most repeats identified here are satellite DNAs, a comprehensive repeatomics (Macas et al., 2015) involving repeats like transposable elements in S. tora and other Senna species will be the focus of a future work to fully understand the repeat dynamics in Senna. The release of the S. tora genome should enable identification of the two donor chromosomes that contribute to the S. tora chromosome 7 and pave the way for reconstructing the ancestral Senna karyotype.
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
Author Contributions
NW and HK conceived and designed the experiment. NW performed bioinformatics analyses. RP performed the FISH experiment. NW and RP wrote the manuscript. S-HK provided the whole genome sequence and plant samples. All authors approved the final manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
Funding. This study was funded by a grant from the National Research Foundation of Korea (NRF 2017R1A2B2004778).
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2021.629898/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.