Skip to main content
  • Research article
  • Open access
  • Published:

Analysis of plant LTR-retrotransposons at the fine-scale family level reveals individual molecular patterns



Sugarcane is an important crop worldwide for sugar production and increasingly, as a renewable energy source. Modern cultivars have polyploid, large complex genomes, with highly unequal contributions from ancestral genomes. Long Terminal Repeat retrotransposons (LTR-RTs) are the single largest components of most plant genomes and can substantially impact the genome in many ways. It is therefore crucial to understand their contribution to the genome and transcriptome, however a detailed study of LTR-RTs in sugarcane has not been previously carried out.


Sixty complete LTR-RT elements were classified into 35 families within four Copia and three Gypsy lineages. Structurally, within lineages elements were similar, between lineages there were large size differences. FISH analysis resulted in the expected pattern of Gyps y/heterochromatin, Copia/euchromatin, but in two lineages there was localized clustering on some chromosomes. Analysis of related ESTs and RT-PCR showed transcriptional variation between tissues and families. Four distinct patterns were observed in sRNA mapping, the most unusual of which was that of Ale1, with very large numbers of 24nt sRNAs in the coding region. The results presented support the conclusion that distinct small RNA-regulated pathways in sugarcane target the lineages of LTR-RT elements.


Individual LTR-RT sugarcane families have distinct structures, and transcriptional and regulatory signatures. Our results indicate that in sugarcane individual LTR-RT families have distinct behaviors and can potentially impact the genome in diverse ways. For instance, these transposable elements may affect nearby genes by generating a diverse set of small RNA's that trigger gene silencing mechanisms. There is also some evidence that ancestral genomes contribute significantly different element numbers from particular LTR-RT lineages to the modern sugarcane cultivar genome.


Plant genome evolution is closely associated with polyploidy and gene amplification, the most highly amplified genes being Long Terminal Repeat retrotransposons (LTR-RTs) [1, 2]. LTR-RT proliferation is regulated by the genome at both the transcriptional and post-transcriptional level [3]. LTR-RTs, like other Transposable Elements (TEs), can not only affect a genome by expansion by proliferation, but also by, for example, providing a template for recombination, inserting into coding regions and disrupting gene expression, or affecting the transcription of neighboring genes (reviewed by [4]).

Based on the massive amounts of genomic sequence data released in the last 15 years, phylogenetic analysis of plant LTR-RTs has identified distinct evolutionary lineages within Gypsy and Copia, the two main plant LTR-RT superfamilies [5]. These lineages are widespread in both monocot and eudicot genomes. Uncovering of this fine structuring within Gypsy and Copia plant LTR-RTs has lead to a better understanding of the diversification of LTR-RTs and shed light on their structure and genomic distribution [68].

Sugarcane is an important crop worldwide, being a major source of sugar, and is also increasingly being used for the production of renewable energy sources such as ethanol. Despite its economic importance, the sequencing of the sugarcane genome is at the pilot stage [9]. Modern cultivars are highly polyploid and have one of the largest (10Gb) and most complex crop genomes, and chromosome numbers varying between 100-130 [10].

There are a few reports on transposable elements in sugarcane sequences [1114] but there is no detailed study on sugarcane LTR-RTs, their phylogenetic classification, and potential impact on genomic distribution and transcriptional activity. In addition, the importance of accurate and complete TE annotation is increasingly recognized as a priority in plant genome sequencing projects to minimize the inaccuracy of gene annotation and facilitate functional gene studies [15].

To set the basis for future genome interpretation, LTR-RTs in the sugarcane genome were characterized using available public resources and BAC sequences from the BIOEN project [16]. We examined the structure, genomic distribution, phylogenetic diversity, transcriptional activity and regulation of sugarcane LTR-RTs. This study reveals that within well-defined phylogenetic lineages, that while TEs within LTR-RTs families are structurally similar, they have distinct transcriptional and regulatory signatures. Taken together, these results support the growing evidence that LTR-RTs contribute to genomic diversity, but with a wide range of potential outcomes.


Characterization of LTR retrotransposons in sugarcane: phylogeny and structural features

Plant LTR-RT evolutionary lineage names are not used consistently within the literature [68], we therefore chose to include sequences from more than one source, so that we could directly compare our results with published data. Our inferred evolutionary histories suggest that, at least for the sequences we analyzed within Gypsy superfamily, the DEL lineage is equivalent to Tekay, and within the Copia superfamily, the Maximus lineage is equivalent to Sire, Ale to Retrofit and Ivana to Oryco (Figures 1 and 2; Additional file 1). The relationship between the TAR, Angela, Tork and Bianca lineages is more problematic. While the Bianca lineage is not included in the GyDb [8] Tork appears to be the Angela and TAR lineages combined (Figure 2; Additional file 1: Figure S2).

Figure 1
figure 1

Neighbour-joining (NJ) phylogenies of Copia and Gypsy families. NJ phylogeny of Gypsy families based on reverse transcriptase, with schematic representations of sugarcane elements. Sequences from the Gypsy database [8] are denoted with a plus symbol, those from Du et al. [7] with a star. Robustness of the nodes was estimated by 500 bootstrap replications. Bootstrap values below 50% are not shown. Lineages are indicated by names and colored blocks. A star indicates the sequences used as probes for fluorescent in situ hybridization (Figure 3). Schematic representations were created using domain draw [17]. A scale and a key for the domains represented in the schematic representations are shown in the bottom right hand corner. Abbreviations and color coding of domains: LTR = long terminal repeat (orange); gag = Gag (dark green); protease = Protease (light green); rt = Reverse Transcriptase (pink); rnaseh = Ribonuclease H (purple); integrase = Integrase (yellow); chromo = Chromodomain (brown); env = Envelope (brown); pol = Polyprotein (grey).

Figure 2
figure 2

Neighbour-joining (NJ) phylogenies of Copia and Gypsy families. NJ phylogeny of Copia families based on reverse transcriptase, with schematic representations of sugarcane sequences. Sequences from the Gypsy database [8] are denoted with a plus symbol, those from Wicker and Keller [6] with a star. Robustness of the nodes was estimated by 500 bootstrap replications. Bootstrap values below 50% are not shown. Lineages are indicated by names and colored blocks. A star indicates the sequences used as probes for fluorescent in situ hybridization (Figure 3). Schematic representations were created using domain draw [17]. A scale and a key for the domains represented in the schematic representations are shown in the bottom right hand corner. Abbreviations and color coding of domains: LTR = long terminal repeat (orange); gag = Gag (dark green); protease = Protease (light green); rt = Reverse Transcriptase (pink); rnaseh = Ribonuclease H (purple); integrase = Integrase (yellow); chromo = Chromodomain (brown); env = Envelope (brown); pol = Polyprotein (grey).

Of the sixty full-length sequences extracted from sugarcane BAC sequences, thirty-two sequences were assigned to the Copia superfamily and twenty-eight to the Gypsy superfamily (Table 1; Figures 1 and 2). We identified four of the six major plant evolutionary Copia lineages described by Wicker and Keller [6] in the sugarcane genome (Figure 2; Additional file 1: Figure S2), and three of the six Gypsy lineages described by Du et al. [7] and the GyDB [8] (Figure 1; Additional file 1: Figure S1). In terms of sequence numbers, the Maximus lineage was the most highly represented within the Copia superfamily, and the Del and Tat lineages were equally represented within the Gypsy superfamily. Based on sequence identity within the LTRs, the elements were classified into 35 families (Table 1) [5]. In order to simplify reading of the text we have referred to these families as simply 'Ale1' for example, rather than the by the full name 'RLC_scAle1'.

Table 1 General features of sugarcane LTR-RT lineages

We were able to identify all the internal coding domains (gag, aspartic protease, reverse transcriptase, integrase and RNAseH) in all the sugarcane sequences, apart from the gag domain in RLG_scTat_7.1 (Figure 1). In addition, a putative envelope domain was identified in elements from the Maximus1 family (Figure 2) and a chromodomain in all DEL and Reina elements (Figure 1) [8].

There was a general pattern in overall size of elements from lineages in each of the two superfamilies. In both superfamilies, there was one lineage that is very large (Maximus and Del, 10.2-16.7 kb), and at least one lineage that is comparatively smaller (Ivana, Ale and Reina, 4.7-5.9 kb) (Figures 1 and 2). Within the Copia superfamily, there is a lineage that is an in-between size (Angela at 6.5-8.5 kb), while within the Gypsy superfamily, the sequences of the Tat lineage (9.2-17.7 kb) are more comparable in size to those of the DEL lineage (11.3-16.7 kb) (Figures 1 and 2). Differences in total length were chiefly due to differences in LTR size, and the presence and size of spacer regions between the internal coding domain and the LTRs, rather than insertions within the gag/pol coding regions (Figures 1 and 2). The exception is the Tat elements, which contain insertions within the pol region, but in most cases between actual coding domains (Figure 1).

Distribution of LTR retrotransposons in metaphases

Given that transposable elements can be distributed throughout a genome, it is difficult to distinguish between random and real signals from a probe derived from a transposable element. The probe for the Del lineage was therefore prepared twice, one probe labeled with DIG and the other with biotin, and hybridized separately to the same slide before and after stripping. The distribution of the Del probe was compared on the same 10 metaphases visualized with anti-digoxigenin-rhodamine (Red) or with NeutrAvidin-Oregon Green-488 (Green) (Additional file 2). The distribution of the probe signal was similar in all 10 metaphases, and therefore the signal was considered to be valid. Similar in situ hybridization conditions were used for all subsequent experiments. A BAC clone (SCHRBa_239_N21), identified by our group [16], contains known sugarcane centromeric repeats [18, 19]. This BAC clone hybridized to the middle region of the chromosome, which consists mainly of centromeric specific sequences (Figure 3b).

Figure 3
figure 3

Fluorescent in situ hybridization patterns observed for sugarcane LTR-RTs. A pair of representative chromosomes is shown underneath the metaphase spreads. Chromosomes are stained with DAPI, probes were labelled with Digoxigenin (DIG) and detected with Anti-DIG-Rhodomine (red signal) or with Biotin and detected with NeutrAvidin-Oregon Green (green signal) (a) DAPI counterstaining only. (b) BAC SCHRBa_239_N21 which contains known sugarcane centromeric repeats (c) scAle probe (euchromatic pattern). (d) scMaximus probe (dispersed pattern) (e) scDELprobe (centromeric/pericentromeric pattern). The LTR-RT probes were 1.9-2.9 kb and included the reverse transcriptase domain.

Seven LTR-RT probes were used, three of which are from Gypsy superfamily members and four from Copia superfamily members, representing all the major lineages already described. No convincing signal was obtained for the Reina1, Ivana1 and Angela1 probes, using the same conditions that were used for the other LTR-RT probes.

The probe from one of the two Gypsy lineages, Del1, localized almost exclusively in a broad band around the centromeres. This observation suggests that it is a heterochromatic or pericentromeric specific element (Figure 3e). The second Gypsy element examined, Tat2, displays a generally strong broad dispersed pattern, but with some concentration along some chromosome arms (data not shown).

Two Copia probes were found dispersed along the chromosome arms and none localized exclusively at or near the centre of the chromosomes. The Ale1 lineage probe was found in high concentrations along particular chromosome arms (Figure 3c). Signals from the Maximus lineage probe were generally dispersed (Figure 3d).

Transcriptional activity of sugarcane LTR retrotransposons

We associated 84 ESTs from the sugarcane cultivar SP80-3280 related to full-length LTR retrotransposons. The largest number of transcripts was identified from the root libraries (Figure 4b), followed by the internode, lateral bud and calli libraries.

Figure 4
figure 4

Transcriptional activity of sugarcane LTR-RTs. ESTs from the cultivar SP80-3280 available from NCBI were assigned to an LTR-RT family, using the criteria described by Wicker et al. (2007) [5]. (a) Total normalized number of ESTs assigned to each LTR-RT family and (b) Total normalized number of ESTs by tissue type.

The Copia superfamily was more highly represented in the EST database than the Gypsy superfamily, with 51 and 33 sequences, respectively (Figure 4a). Previously described full length cDNA sequences [20] were assigned to 8 of the 35 families we identified from BAC sequences (Additional file 3). In this study, no ESTs were identified for 14 families (Figure 4a). We assigned ESTs to another 14 families not previously described as transcriptionally active [11, 20] (Figure 4a), however for one family, Ale3, for which a previously described cDNA sequence was assigned, no ESTs were identified.

RT-PCR analysis confirmed the transcriptional activity of sugarcane LTR-RTs in leaves and lateral buds. We also experimentally confirmed transcriptional activity for five new families: Ale2, Ivana6, Del2, Reina1 and Reina3.

The most represented family in the EST data, Ale1, had an intense band, confirming its transcriptional activity, and had the same intensity of signal in both leaves and lateral buds. Transcriptional patterns differed between tissues and LTR-RT families (Figure 5a). The Ivana and Reina lineages illustrate that individual families have distinct transcriptional patterns: for instance, the Ivana6 signal is more intense than that of Ivana1; moreover, Ivana1 has higher transcriptional activity in lateral buds, while Ivana6 is more active in leaves. Reina1 and Reina3 are both transcriptionally active in lateral buds, but clear differences in band intensity can be observed (Figure 5a).

Figure 5
figure 5

Mapping of small RNAs in confirmed transcriptionally active LTR-RTs families. (a) Sugarcane TEs are transcriptionally active in leaf and bud tissues. Expression profiles of selected TEs in leaf blade and developing lateral buds of the sugarcane hybrid SP80-3280. Ribosomal 25S gene (Sc25S) was used as a loading control. RT- (reaction without RT) and PCR- (reaction without cDNA) are shown as negative controls. Numbers in parentheses represent PCR cycles for each amplicon. (b). Mapping of sRNA within 8 LTR-RT families. 20-22nt sRNAs are represented as blue lines, 23-25nt sRNAs as red lines. A scaled schematic (also shown in Figures 1 and 2), is shown below each sRNA map.

Distribution of small RNAs among LTR retrotransposon lineages

We divided the sRNA population into two major classes: 20-22nt and 23-25nt sRNA sequences. We refer hereafter to these classes as 21-nt class (20-22nt) and 24-nt class (23-25nt). In this analysis we allowed a 0-2 nt mismatch between the sRNA and LTR-RT reference sequences, in which 25% and 22% of the 21 and 24 ntRNAs class, respectively, showed a perfect match with the LTR-RTs sequences. All identified lineages had at least one family with sRNA from both classes mapped to LTR-RTs. In the Copia superfamily, all families within the Maximus lineage had more than 8000 sRNAs mapped, mostly belonging to the 24-nt class (Additional file 4: Figure S5 and Additional file 5). These elements had the highest sRNA counts, about 1.5 to 5.5 fold higher than other lineages and these counts mapped chiefly to the LTRs (Additional file 4: Figure S5). Del1 is the only representative of the Gypsy superfamily that has comparable sRNA counts. The Ivana and Reina lineages were the lineages with the least number of sRNA counts (Additional file 5). Within the Ivana lineage, the element RLC_scIvana6.1 had the highest number of sRNA matches, most of which belong to the 21-nt class (Additional file 5). The same pattern was observed in RLG_Reina3.1. The remaining Ivana and Reina families had lower sRNA counts.

To evaluate whether sRNAs preferentially matched specific regions of each LTR-RT, we compared the sRNA distribution within LTRs and coding domains (Additional file 4: Figure S1-S7). Various distribution patterns, both within the LTRs and the coding domains were observed. Families of the Maximus lineage and Del1 had the high 24-nt sRNA counts within the LTRs. The 5' region of both LTRs from Del2 and Del3 families had a peak of 21-nt sRNAs. Most LTR-RT families did not have high sRNA counts within the coding domains, but some cases of high counts of sRNAs were noted. The Ale1 family had > 1000 counts of the 24-nt class sRNAs within the integrase and protease domains and the Tat2 family had > 6000 counts of the 24-nt class sRNAs within the RnaseH domain (Additional file 4: Figure S4, Figure S3). All other cases of high counts in coding domains are related to 21-nt class sRNAs, as seen in the Ivana6 and Reina3 families, both with around 300 counts. Interestingly, Angela2 had peaks of > 200 24-nt sRNA counts in a 3.5 kb non-coding region between the 5'LTR and the gag domain (Additional file 4: Figure S5).


We characterized LTR-RTs in the sugarcane genome using BAC sequences available from the BIOEN project and publicly available genomic and EST resources, which allowed us to provide the most complete overview of the structural and phylogenetic diversity of these elements to date. The 35 LTR-RT families identified belong to four lineages from the Copia superfamily and to three from the Gypsy superfamily. Among all these families we observed distinct patterns of differences in structural features, chromosomal distribution, transcriptional activity, and sRNAs targeting.

Sugarcane LTR-RTs are structurally diverse and belong to evolutionary lineages shared by monocots and eudicots

Previous surveys of LTR-RTs in plants defined six major common evolutionary Copia lineages [6] and six major common evolutionary Gypsy lineages [8]. Bianca was the only Copia superfamily lineage in which sugarcane LTR-RTs were not found. Absence of Bianca in the sugarcane genome dataset analyzed may be explained by its relatively low representation in other plants. Indeed, rice has few Bianca families [6] and soybean has none [7].

We also did not find sugarcane LTR-RTs elements from the Galadriel and CRM lineages in Gypsy superfamily. The Galadriel lineage seems to be an under-represented lineage among monocots, since there are only reports of Galadriel elements in banana [21]. CRM elements are also minor components of Gypsy retrotransposons in the model grass rice [7], which may explain its low representation in sugarcane.

Although very little sequence of the sugarcane genome is available, the number of LTR-RT families we identified was comparable to previous large scale LTR-RTs analyses in BAC clones from Medicago truncatula (232 Mb) [22] and Capsicum annuum (35.6 Mb) [23]. This finding suggests that we have a good overview of the diversity of sugarcane LTR-RTs.

Sugarcane LTR-RT families have distinct chromosomal distributions

Transposable elements are not distributed randomly along eukaryotic chromosomes [24]. In particular, Gypsy elements tend to be found in heterochromatic regions, Copia elements are more dispersed throughout the genome [25, 26]. In addition, heterochromatic and pericentromeric regions are enriched in TEs, such as those of the CR/CRM and Tat lineages, compared with euchromatic regions [2729]. Using fluorescence in situ hybridization (FISH), we examined the distribution of representatives from seven lineages identified within the Gypsy and Copia superfamilies in sugarcane chromosomes. No detectable FISH signal was obtained for the Angela, Ivana and Reina lineages; in the case of Ivana preliminary estimates from the R570 BAC library suggests that there is approximately 50 copies of Ivana1 per haploid genome in sugarcane (data not shown), which suggests that the lack of signal is due to low copy number. We suspect that this observation may be also valid for Angela and Reina.

The two Copia probes, Ale1 and Maximus1, had the expected euchromatic patterns, but they were distinctly different. The signals from the Ale probe had localized clusters along particular chromosome arms, while those of the Maximus1 probe were widespread and dispersed, without any signs of concentration in particularly regions (Figure 3d). It has been suggested that as TEs accumulate in a genome, even if they insert randomly, they are more likely to insert within other TEs, forming clusters of TEs. Because these clusters of TEs are most likely selectively neutral, they will be free to expand [24]. The Ale distribution pattern observed in sugarcane is reminiscent of such clusters of TEs.

The sugarcane BAC SCHRBa 239_N21 used as a centromeric-specific probe in this study contains the SCEN repeat interspersed with LTR-RTs from the Tat lineage [16]. Previous studies in sugarcane [18, 19] identified a centromere-specific repeat (SCEN) and centromere associated LTR-RTs, classified as CR/CRM-like. We did not identify any full length LTR-RTs from the CR/CRM lineage in this study, but sequence from a related Gypsy lineage, Del1, did hybridize to a broad region around and within the centromeric region (Figure 3b and 3e). Del lineage sequences have been identified at other plant centromeres [28], however our results suggest that the Del sequence we used as a probe is not strictly centromeric specific, but is rather preferentially found in and around heterochromatic regions of the centromeric repeats. The Tat sequences identified in the BAC SCHRBa 239_N21 clustered with the Tat1, Tat4, Tat5 and Tat6 families, (data not shown) which is quite distinct from the Tat2 family (Figure 1). The Tat FISH probe used is most closely related to the Tat2 sequences (Figure 1) and had a clusters of localization along some chromosomes, like those seen with the Ale1 probe, but with much more intense signals.

Modern sugarcane cultivars are interspecific hybrids between Saccharum officinarum and S. spontaneum and backcrossed with S. officinarum [30]. The resulting genomes are highly polyploid, 70-80% of which is from S. officinarum, 10-23% from S. spontaneum, the rest being recombinants [10, 31]. The derivation of the modern sugarcane genome suggests that, rather than being the result of TEs inserting into clusters of TEs, the distribution of Tat2 and Ale1 may be the result of differential transmission of TEs from the parental genomes. Future work using genomic in situ hybridization [31] combined with FISH should enable us to distinguish between these two hypotheses.

Transcriptional activity of LTR-RTs and their associated sRNAs

Transposable elements make up a substantial proportion of plant genomes, and are often transcriptionally active. A very stringent search for sugarcane ESTs associated with TEs confirmed that transcriptional activity appears to be a general feature of some sugarcane LTR-RTs, as reported for other monocots [32, 33]. Since we do not have detailed information about cDNA library preparation of EST data, we cannot identify if transcribed sequences were in sense or antisense orientation. Interestingly, within each lineage, the number of transcripts mapped to each family was variable (Figure 4a). The most striking example is the Ale lineage, which has the highest number of transcripts, all of which mapped to a single family, Ale1. There is a similar, but not as definitive pattern in all other lineages, except for Maximus, where all families have similar numbers of transcripts.

In terms of tissue specificity (Figure 4b), the highest number of LTR-RT associated transcripts was identified from the root libraries, followed by the internode, lateral bud and calli libraries. A previous macroarray analysis identified calli as the tissue with the highest number of TEs being expressed in sugarcane [20], however in this study only calli, apical meristem, leaf roll and flower were analyzed. These differences in expression according to tissue, in particular that leaf is the tissue with least number of ESTs identified, may help guide future studies of transposable elements in sugarcane.

As they are potentially highly mutagenic, the activity of LTR-RTs is usually controlled by the host genome through the siRNA machinery. The specificity of this response is achieved by a surveillance system that detects aberrant RNA. The proliferative nature of TEs makes them prone to insert in the genome in such way that both sense and anti-sense transcripts are produced, generating dsRNA, and activating the siRNA system.

Two main classes of siRNAs are generated, the 21-nt class regulates post-transcriptionally related mRNAs while the 24-nt class is involved in RNA-dependent DNA methylation (RdDM) and heterochromatin maintenance and therefore suppresses gene expression at transcriptional level [34].

Previous studies mapping sRNAs to LTR-RTs in wheat and maize genomes [35, 36], presented an overall study of TE superfamilies and described a pattern of concentration of 24nt sRNA in the LTRs. Our work, which focused on mapping to individual LTR-RT elements, identified distinct patterns of sRNA targeting within sugarcane LTR-RT lineages and families.

The previously described '24nt LTR' pattern was observed for all references sequences in the Maximus families, and for Del1 and Tat3 (Additional file 5). For all other reference sequences a different type of pattern was observed. For almost half of the families (18 out of 33) very few sRNAs(< 2000 counts) were mapped to the reference copy (Additional file 5). Two other patterns were observed, one in which high numbers of 21nt sRNAs mapped along the coding region, represented by Ivana6 and Reina3 (Additional file 5), and one in which a very large number of 24nt sRNAs mapped within the coding region, seen only in Ale1.

Very few mapped sRNAs indicates that elements from those families either are not transcriptionally active, or they are very recently activate and have not yet triggered the host small RNA-dependent silencing machinery. If they are not transcriptionally active, silencing may be being maintained by ancient methylation. A previous study has shown that ~63% of methylated regions were maintained without persistent targeting by sRNAs [37], explaining the absence of both 21 and 24nt sRNAs.

The high numbers of 21nt sRNAs mapped to the coding region of some families suggests that they are being regulated primarily post-transcriptionally. This has been previously reported for MITEs [36] and may indicate recent activation of transcription, pior to triggering of the RdDM machinery.

The unique pattern observed in the Ale1 family suggests that the RdDM machinery is guiding methylation to the coding region of the element, not the promoter region. The "body-methylated gene" concept was first described in plants in 2006, when Zhang and collaborators showed that over one third of Arabidopsis expressed genes were methylated in the coding region, but not in the promoter region [37]. The Ale1 family has a distinct profile, it has a 'body-gene'-like sRNA pattern, it is the most transcriptionally active LTR-RT in sugarcane and is concentrated in euchromatic regions and gene-rich BAC sequences ([12] and Figure 3c). At this point it is difficult to make conclusions from these observations, however these results are intriguing and warrant further investigation.


This is the first study to perform a concomitant survey of phylogenetic diversity, chromosomal distribution, structure, transcriptional activity and interaction with sRNAs of LTR-RTs in a plant genome. We assigned 60 LTR-RT elements to 35 families within four Copia and three Gypsy lineages. Two lineages, one Copia and one Gypsy lineage, showed distinct patterns of signal clustering along some chromosomes in the FISH analysis. Given that the modern sugarcane cultivars are hybrids with highly unequal contributions from the ancestral genomes, the FISH patterns suggest that for these lineages there has been higher numbers of elements from one ancestral genome than the other. For the transcriptional and sRNA mapping analyses we chose to analyze at the family level. Individual families had distinct transcript and sRNA mapping profiles, suggesting that they are differentially expressed and regulated. The Ale1 family was particularly unusual in that it had 'body-gene'-like sRNA pattern, it is the most transcriptonally active LTR-RT in sugarcane and is concentrated in euchromatic regions. Overall, our results indicate that LTR-RTs could impact the genome in different ways at the family levels.


Identification and retrieval of sugarcane LTR retrotransposon sequences

All BACs used are from the R570 sugarcane cultivar library [38]. BACs sequenced for the BIOEN Project [16] and public sugarcane BAC sequences available at the National Center for Biotechnology Information (NCBI) website as at 01/02/2011 were screened for full-length LTR elements using LTR_STRUC [39] with the most thorough stringency (1). Sixty sequences were retrieved and provisionally assigned to the Gypsy or Copia superfamily by submission against cores in the Gypsy Database (GyDB) [8] using BLASTX. To determine whether the sequences were complete elements, we identified target site duplications (TSDs) by submitting the full length sequences as a query and subject to a blast2seq [40] on the NCBI website.

Phylogenetic analysis

Sugarcane LTR-RTs, including the probes used for fluorescence in situ hybridization, were assigned to previously described plant LTR lineages [68] by phylogenetic analysis using the translated reverse transcriptase (RT) domain excised from all the sugarcane LTR-RTs and published RT sequences.

For both phylogenies we downloaded RT alignments from the Gypsy database (GyDB) [8], and removed non-plant sequences. Gypsy sequences were also taken from Du et al. (2010) [7], Copia sequences were taken from Wicker and Keller (2007) [6]. All sequences were renamed to reflect published lineage names. Sequences were aligned using MUSCLE with default settings [41] and manually adjusted by eye. The optimal model of amino acid substitution was estimated using MEGA5 [42] with default settings. Neighbor-joining and maximum-likelihood phylogenies were estimated with MEGA5 [42] using the highest-ranked substitution model available and a bootstrap of 500 replicates.

Assignment to Families within Lineages and naming of sequences

Sugarcane LTR-RTs were assigned to families within lineages on the basis of 80% sequence identity in at least 80% of their LTRs [5]. Although previous reports assign names to some sugarcane LTR-RT families [11, 14, 20], we opted to standardize the name of sugarcane LTR-RT sequences, using a more straightforward strategy, based in the proposed universal classification of TEs by Wicker et al. (2007) [5]. Sequences were named 'RLC' (Copia) or 'RLG' (Gypsy), 'sc' for 'sugarcane', the lineage name e.g. 'Ale', the family number e.g. '1', then each sequence within a family was numbered sequentially. For example 'RLC_scAle_1.1' is the first sequence named within the Ale lineage, family 1, superfamily Copia.

Analysis of the structure of Sugarcane LTR-RTs

Coding domains were identified using Pfam, or by alignment with MUSCLE [41] against the domain alignment from the GyDb [8]. Full-length sequences were aligned and analyzed using BioEdit [43], using the toggle translate option so that we could align the coding domains as well as the LTRs, TSDs, and the regions between the LTRs and the coding domains. LTRs were identified by submitting the sequence of the entire sugarcane LTR-RT as both a query and subject to a MEGABLAST [40] analysis. The beginning of the LTRs, regions between the LTRs and the coding domains, and the TSDs were manually aligned in BioEdit [43]. Co-ordinates of the beginning of all features of each element were recorded in an Excel table and the information submitted to domain draw [17] to create a schematic representation of each sugarcane LTR-RT.

General features of each sequence, as element size, LTR size, Target Side Duplications (TSD) and GenBank accession numbers are presented in Additional file 6.

Sugarcane EST database screening

All full-length LTR-RTs were used as queries in a BLASTN search against EST sequences from the sugarcane cultivar SP80-3280. The ESTs were obtained using ENTREZ at NCBI A total of 155,354 sugarcane ESTs were analyzed, all of them from the SUCEST (Sugarcane EST) project [44].

ESTs similar to LTR-RTs were assigned to a family according to the criteria based on Wicker et al. [5]: 80% coverage with 80% nucleotide identity.

The number of hits for each library was normalized by dividing the raw number of hits by the total number of valid reads. The normalized numbers of hits per library were then combined according to tissue type. The final number was multiplied by 100,000, so that in Figure 4 the X axis represents the number of ESTs per 100,000 transcripts from each tissue.

Association of cDNAs to full-length LTR-RTs

Thirty manually curated sugarcane cDNAs related to LTR-RTs [20], described using an older nomenclature, were assigned to a family according to the same criteria used for the ESTs.

RNA extraction and Reverse Transcriptase (RT) PCR Analysis

Leaf blade tissues were collected from one-month-old sugarcane plants (cultivar SP 80-3280) grown under greenhouse conditions. Mature eight-month-old plants of the same cultivar were used to obtain lateral buds. Stalk pieces with one bud (single eye sets) were planted in plastic trays containing a commercial planting mix (Plantmax, Eucatex, Brazil). After five days, developing buds were collected for RNA extraction. Two independent biological replicates were collected for leaf blade and lateral bud tissues. Total RNA was extracted using TRizol reagent (Invitrogen) according to the manufacturer's instructions.

Primers were designed within the reverse transcriptase domain using Primer3Plus [45] to amplify all known elements from a family. Total RNA was treated with DNAse I Amp Grade (Invitrogen) to remove any residual genomic DNA. Three micrograms of DNAse-treated RNA was used to generate the first strand cDNA using ImProm II Reverse Transcriptase (Promega) according to the manufacturer's instructions. The reaction mixture was placed in a GeneAmp9700 thermocycler (Applied Biosystems) and incubated at 16°C for 30 minutes, followed by 60 cycles of pulsed reverse transcription at 30°C for 30 seconds, 42°C for 30 seconds, and 50°C for one second. cDNA dilutions were used in PCR reactions as following: 1.0 μL of cDNA, 10 pmol of each primer, GoTaqmastermix, and 1 U of GoTaq DNA Polymerase (Promega) in a total volume of 25 μL. The reactions were placed in the thermocycler with the following conditions: 94°C for three minutes and appropriate cycle numbers of 94°C for 30 seconds, 55°C or 60°C for 30 seconds, and 72°C for 45 seconds. All reactions were repeated at least twice.

Small RNA library construction and bioinformatic analysis

To evaluate the small RNA "landscape" of sugarcane LTR-RTs, we prepared a sRNA library from leaves of one-month old SP80-3280 sugarcane cultivar plants, grown under greenhouse conditions. Ten micrograms of total RNA, prepared using TRizol reagent (Invitrogen) according to the manufacturer's instructions, were used to generate sRNA library following Illumina's modified protocol. The sRNA fraction of 19-28 nt was purified by size fractionation on a 15% TBE-Urea polyacrylamide gel. A 5'-adenylated single-stranded adapter was first ligated to the 3'-end of the RNA using T4 RNA ligase without ATP, followed by a second single-stranded adapter ligation at the 5'-end of the RNA using T4 RNA ligase in the presence of ATP. The resulting products were fractioned on a 10% TBE-Urea polyacrylamide gel and then used for cDNA synthesis and PCR amplification. The resulting library was sequenced on an Illumina Genome Analyzer (GA-IIx) following the manufacturer's protocol available at

A total of 4,388,665 20-25nt raw sequences were retrieved in a FASTQ formatted file and the adapter sequences were removed using Perl Scripts. After trimming of adapter sequences, the inserts were sorted into separate files according to their lengths. We used the program MAQ [46] to map 20-25 ntsRNA reads against sugarcane LTR-RT reference sequences (sequence 1 from each family). MAQ is a program that rapidly aligns short reads to reference genome sequences, and in this study we allowed 0-2 nt mismatches between the sRNA and LTR-RTs sequences. Three percent of the total library, that is, 131,641 high quality raw 20-25nt sequences matched against the sugarcane LTR-RT sequences. These sRNAs sequences have been submitted to the NCBI Gene Expression Omnibus database under accession number GSE35143.

Fluorescence in situ hybridization (FISH)

The distribution of the sugarcane LTR-RTs was analyzed by fluorescence in situ hybridization (FISH) on metaphase chromosomes. In order to compare the distribution of the LTR-RT relative to the centromere, a centromeric BAC [16] was also used as a probe. A single representative probe was used for each evolutionary lineage (Figure 3). The sequence of each probe was submitted as a query to a BLASTN analysis against a database of sugarcane cDNAs related to TEs identified in our lab [11, 20] to check that, at 85% stringency, it would not hybridize against other elements.

All LTR-RT probes were 1.9 to 2.9 kb and covered the reverse transcriptase domain. For the Ale1 and Ivana1 families, probes were selected from previously reported cDNA sequences [11, 20]. For Ale1, we used cDNA TE137 (GenBank accession [GenBank:JN786875]) and TE049 for scIvana1 (GenBank accession [GenBank:DQ115032]) on the basis of size (> 1.9 kb) and the presence of the reverse transcriptase domain. For all other lineages primers were designed from alignments of the RT domain using Primer3Plus [45]. All kits were used according to the manufacturer's instructions. The probe sequences were PCR amplified from R570 cultivar genomic DNA using Elongase (Invitrogen) or GoTaq (Promega) with 2 mM MgCl2, 0.2 mMdNTPs, 0.2 μM primers, 1 ng/μL genomic DNA and 0.025units/uL of Enzyme. Cycling conditions were as described in the Expand Long Template PCR System (Roche). The resulting amplicons were separated on 1% agarose, gel-purified using the NucleoSpin Extract II kit (Macherey Nagel), ligated into the pGEM T-Easy Vector (Promega), and cloned into DH10B electrocompetent cells according to standard procedures [47]. Minipreps from three clones from each PCR reaction and from the cDNA clones were prepared using standard alkaline precipitation methods [47], and sequenced using the vector primers M13F/R. In order to obtain a probe that consisted of just the probe, one miniprep for each lineage was diluted 1:1000 and used as template in 100 μL PCR reaction with M13F/R primers to amplify the insert only, using GoTaq (Promega) in same reaction conditions as above, but with the following cycling conditions, initial denaturation 95°C 3 min, 35cycles of 95°C 1 min, 55°C 30 sec, 72°C 2 min, followed by a final extension of 72°C for 3 min. The resulting amplicons were separated on 1% agarose, gel purified using the NucleoSpin Extract II kit (Macherey Nagel) and quantified using a NanoDrop Spectrometer (ThermoScientific). For the centromeric BAC probe, BAC DNA was extracted using the Large-Construct Kit (Qiagen).

Between 350-700 ng of probe DNA was used in a 20 μL nick translation reaction with Digoxigenin (DIG)-11-dUTP (Invitrogen) or Biotin-16-dUTP (Invitrogen) and the NT mix (Roche). Labeling efficiency was tested according to Heslop (2000) [48] (protocol 4.7). The probe was only used if the 1:1000 dilution was clearly visible.

Sections of sugarcane stalk from the cultivar SP80-3280 were planted in a mixture of 1/2 soil 1/2 vermiculite, root tips harvested within 1-3 days and placed directly into 2 mM 8-hydroxyquinoline for 6 hours at 18°C. Next, they were transferred to 3:1 ethanol:acetic acid fixative and stored at -20°C. Root samples were prepared according to Heslop(2000) [48], protocol 5.3, except that they were digested in either 2% cellulase/0.2% macerozyme/20% pectinase or 1% cellulase/0.2% macerozyme for 2 1/2 to 3 hours (depending on how large the root tip was) at 37°C.

Hybridization and detection was performed according to Heslop (2000) [48] using protocols 8.1, 8.4, 9.1 and 9.2, with the following conditions: the slide was dried for 30 min at 50-60°C and pretreated with both RNAse A and pepsin (20 min at 37°C); 1 μL of each labeled probe was added to a 20 μL hybridization mix of 50% formamide/2xSSC/10% dextran sulphate/1%SDS; the slide was denatured in 50 mL of 70% formamide/2xSSC at 70°C for 2 min and then dehydrated through an ice-cold ethanol series (70%, 85%, 100% ethanol); washes were 80-82% stringent, 20% formamide with 0.1 or 0.2 xSSC at 42°C; DIG-labeled probes were detected with anti-digoxigenin-rhodamine (Roche), biotin-labeled with NeutrAvidin-Oregon Green-488 (Molecular Probes).

The slide was stained with DAPI, observed and photographed with an Zeiss AxioPlan2 microscope and captured using an Axiocam MR camera and the Isis Fluorescence Imaging System (MetaSystems). Nine to 25 metaphases were photographed for each probe. Slides were stripped by carefully removing the immersion oil, soaked in 4xSSC/0.1% Tween 20 at 37°C until the coverslip floated off, transferred to fresh 4xSSC/0.1% Tween 20 for 3 hours with gentle shaking, transferred to 3:1 ethanol:acetic acid fixative for 30 min and then dehydrated through an ethanol series (70%, 85%, 100% ethanol) for 5 min each at room temperature and air dried for 1 hour.


  1. Ainouche ML, Jenczewski E: Focus on polyploidy. New Phytol. 2010, 186: 1-4. 10.1111/j.1469-8137.2010.03215.x.

    Article  PubMed  Google Scholar 

  2. Parisod C, Alix K, Just J, Petit M, Sarilar V, Mhiri C, Ainouche M, Chalhoub B, Grandbastien M: Impact of transposable elements on the organization and function of allopolyploid genomes. New phytol. 2010, 186: 37-45. 10.1111/j.1469-8137.2009.03096.x.

    Article  PubMed  Google Scholar 

  3. Hirochika H, Okamoto H, Kakutani T: Silencing of retrotransposons in Arabidopsis and reactivation by the ddm1 mutation. Plant cell. 2000, 12: 357-368.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Feschotte C, Jiang N, Wessler SR: Plant transposable elements: where genetics meets genomics. Nature reviews Genetics. 2002, 3: 329-341.

    Article  PubMed  Google Scholar 

  5. Wicker T, Sabot F, Hua-Van A, Bennetzen JL, Capy P, Chalhoub B, Flavell A, Leroy P, Morgante M, Panaud O, Paux E, SanMiguel P, Schulman AH: A unified classification system for eukaryotic transposable elements. Nat Rev Genet. 2007, 8: 973-982. 10.1038/nrg2165.

    Article  PubMed  Google Scholar 

  6. Wicker T, Keller B: Genome-wide comparative analysis of copia retrotransposons in Triticeae, rice, and Arabidopsis reveals conserved ancient evolutionary lineages and distinct dynamics of individual copia families. Genome Res. 2007, 17: 1072-1081. 10.1101/gr.6214107.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Du J, Tian Z, Hans CS, Laten HM, Cannon SB, Jackson SA, Shoemaker RC, Ma J: Evolutionary conservation, diversity and specificity of LTR-retrotransposons in flowering plants: insights from genome-wide analysis and multi-specific comparison. Plant J. 2010, 63: 584-598. 10.1111/j.1365-313X.2010.04263.x.

    Article  PubMed  Google Scholar 

  8. Llorens C, Futami R, Covelli L, Domínguez-Escribá L, Viu JM, Tamarit D, Aguilar-Rodríguez J, Vicente-Ripolles M, Fuster G, Bernet GP, Maumus F, Munoz-Pomer A, Sempere JM, Latorre A, Moya A: The Gypsy Database (GyDB) of mobile genetic elements: release 2.0. Nucleic Acids Res. 2011, 39: D70-D74. 10.1093/nar/gkq1061.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Souza GM, Berges H, Bocs S, Casu R, D'Hont A, Ferreira JE, Henry R, Ming R, Potier B, Van Sluys M-A, Vincentz M, Paterson AH: The Sugarcane Genome Challenge: Strategies for Sequencing a Highly Complex Genome. Tropical Plant Biology. 2011, 4: 145-156. 10.1007/s12042-011-9079-0.

    Article  Google Scholar 

  10. Piperidis G, Piperidis N, D'Hont A: Molecular cytogenetic investigation of chromosome composition and transmission in sugarcane. Molecular Genet Genomics. 2010, 284: 65-73. 10.1007/s00438-010-0546-3.

    Article  Google Scholar 

  11. Rossi M, Araujo PG, Van Sluys M-A: Survey of transposable elements in sugarcane expressed sequence tags (ESTs). Genet Mol Bio. 2001, 24: 147-154.

    Google Scholar 

  12. Jannoo N, Grivet L, Chantret N, Garsmeur O, Glaszmann JC, Arruda P, D'Hont A: Orthologous comparison in a gene-rich region among grasses reveals stability in the sugarcane polyploid genome. Plant J. 2007, 50: 574-585. 10.1111/j.1365-313X.2007.03082.x.

    Article  PubMed  Google Scholar 

  13. Wang J, Roe B, Macmil S, Yu Q, Murray JE, Tang H, Chen C, Najar F, Wiley G, Bowers J, Van Sluys M-A, Rokhsar DS, Hudson ME, Moose SP, Paterson AH, Ming R: Microcollinearity between autopolyploid sugarcane and diploid sorghum genomes. BMC Genomics. 2010, 11: 261-10.1186/1471-2164-11-261.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Garsmeur O, Charron C, Bocs S, Jouffe V, Samain S, Couloux A, Droc G, Zini C, Glaszmann J-C, Van Sluys M-A, D'Hont A: High homologous gene conservation despite extreme autopolyploid redundancy in sugarcane. New Phytol. 2010, 189: 629-642.

    Article  PubMed  Google Scholar 

  15. Bennetzen JL, Coleman C, Liu R, Ma J, Ramakrishna W: Consistent over-estimation of gene number in complex plant genomes. Current Opin Plant Biol. 2004, 7: 732-736. 10.1016/j.pbi.2004.09.003.

    Article  Google Scholar 

  16. Setta N, Cruz G, Cruz E, Gomes K, Campos R, Hotta C, Vilela M, Vincentz M, Vautrin S, Souza G, Bérgès H, Gaiarsa J, Kitajima J, Van Sluys M: Sugarcane genome: a snapshot from 100 sequenced BACs. Plant and Animal Genomes XIX Conference San Diego. 2011, USA

    Google Scholar 

  17. Fink J, Hamilton N: DomainDraw: A Macromolecular Schematic Drawing Program. In Silico Biol. 2007, 7: 14-

    Google Scholar 

  18. Nagaki K, Tsujimoto H, Sasakuma T: A novel repetitive sequence of sugar cane, SCEN family, locating on centromeric regions. Chromosome Res. 1998, 6: 295-302. 10.1023/A:1009270824142.

    Article  PubMed  Google Scholar 

  19. Nagaki K, Murata M: Characterization of CENH3 and centromere-associated DNA sequences in sugarcane. Chromosome research. 2005, 13: 195-203. 10.1007/s10577-005-0847-2.

    Article  PubMed  Google Scholar 

  20. de Araujo PG, Rossi M, de Jesus EM, Saccaro NL, Kajihara D, Massa R, de Felix JM, Drummond RD, Falco MC, Chabregas SM, Ulian EC, Menossi M, Van Sluys M-A: Transcriptionally active transposable elements in recent hybrid sugarcane. The Plant journal. 2005, 44: 707-717. 10.1111/j.1365-313X.2005.02579.x.

    Article  PubMed  Google Scholar 

  21. Hribová E, Neumann P, Matsumoto T, Roux N, Macas J, Dolezel J: Repetitive part of the banana (Musa acuminata) genome investigated by low-depth 454 sequencing. BMC Plant Biol. 2010, 10: 204-10.1186/1471-2229-10-204.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Wang H, Liu J-S: LTR retrotransposon landscape in Medicago truncatula: more rapid removal than in rice. BMC Genomics. 2008, 9: 382-10.1186/1471-2164-9-382.

    Article  PubMed Central  PubMed  Google Scholar 

  23. Park M, Jo S, Kwon J-K, Park J, Ahn JH, Kim S, Lee Y-H, Yang T-J, Hur C-G, Kang B-C, Kim B-D, Choi D: Comparative analysis of pepper and tomato reveals euchromatin expansion of pepper genome caused by differential accumulation of Ty3/Gypsy-like elements. BMC Genomics. 2011, 12: 85-10.1186/1471-2164-12-85.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Hua-Van A, Le Rouzic A, Boutin TS, Filée J, Capy P: The struggle for life of the genome's selfish architects. Biology Direct. 2011, 6: 19-10.1186/1745-6150-6-19.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Heslop-Harrison JS, Brandes A, Taketa S, Schmidt T, Vershinin A, Alkhimova EG, Kamm A, Doudrick RL, Schwarzacher T, Katsiotis A, Kubis S, Kumar A, Pearce SR, Flavell A, Harrison GE: The chromosomal distributions of Ty1-copia group retrotransposable elements in higher plants and their implications for genome evolution. Genetica. 1997, 100: 197-204. 10.1023/A:1018337831039.

    Article  PubMed  Google Scholar 

  26. Paterson AH, Bowers JE, Bruggmann R, Dubchak I, Grimwood J, Gundlach H, Haberer G, Hellsten U, Mitros T, Poliakov A, Schmutz J, Spannagl M, Tang H, Wang X, Wicker T, Bharti AK, Chapman J, Feltus FA, Gowik U, Grigoriev IV, Lyons E, Maher CA, Martis M, Narechania A, Otillar RP, Penning BW, Salamov AA, Wang Y, Zhang L, Carpita NC: The Sorghum bicolor genome and the diversification of grasses. Nature. 2009, 457: 551-556. 10.1038/nature07723.

    Article  PubMed  Google Scholar 

  27. Mizuno H, Ito K, Wu J, Tanaka T, Kanamori H, Katayose Y, Sasaki T, Matsumoto T: Identification and mapping of expressed genes, simple sequence repeats and transposable elements in centromeric regions of rice chromosomes. DNA Res. 2006, 13: 267-274. 10.1093/dnares/dsm001.

    Article  PubMed  Google Scholar 

  28. Theuri J, Phelps-Durr T, Mathews S, Birchler J: A comparative study of retrotransposons in the centromeric regions of A and B chromosomes of maize. Cytogenetic Genome Res. 2005, 110: 203-208. 10.1159/000084953.

    Article  Google Scholar 

  29. Weber B, Schmidt T: Nested Ty3-gypsy retrotransposons of a single Beta procumbens centromere contain a putative chromodomain. Chromosome Res. 2009, 17: 379-396. 10.1007/s10577-009-9029-y.

    Article  PubMed  Google Scholar 

  30. Grivet L, Arruda P: Sugarcane genomics: depicting the complex genome of an important tropical crop. Current Opin Plant Biol. 2001, 5: 122-127.

    Article  Google Scholar 

  31. D'Hont A: Unraveling the genome structure of polyploids using FISH and GISH; examples of sugarcane and banana. Cytogenetic Genome Res. 2005, 109: 27-33. 10.1159/000082378.

    Article  Google Scholar 

  32. Vicient CM: Transcriptional activity of transposable elements in maize. BMC Genomics. 2010, 11: 601-10.1186/1471-2164-11-601.

    Article  PubMed Central  PubMed  Google Scholar 

  33. Echenique V, Stamova B, Wolters P, Lazo G, Carollo L, Dubcovsky J: Frequencies of Ty1- copia and Ty3- gypsy retroelements within the Triticeae EST databases. Theoretical Appl Genet. 2002, 104: 840-844. 10.1007/s00122-001-0849-1.

    Article  Google Scholar 

  34. Baulcombe D: RNA silencing in plants. Nature. 2004, 431: 356-363. 10.1038/nature02874.

    Article  PubMed  Google Scholar 

  35. Nobuta K, Lu C, Shrivastava R, Pillay M, De Paoli E, Accerbi M, Arteaga-Vazquez M, Sidorenko L, Jeong DH, Yen Y, others: Distinct size distribution of endogenous siRNAs in maize: Evidence from deep sequencing in the mop1-1 mutant. Proc Natl Acad Sci USA. 2008, 105: 14958-14963. 10.1073/pnas.0808066105.

    Article  PubMed Central  PubMed  Google Scholar 

  36. Cantu D, Vanzetti LS, Sumner A, Dubcovsky M, Matvienko M, Distelfeld A, Michelmore RW, Dubcovsky J: Small RNAs, DNA methylation and transposable elements in wheat. BMC Genomics. 2010, 11: 408-10.1186/1471-2164-11-408.

    Article  PubMed Central  PubMed  Google Scholar 

  37. Zhang X, Yazaki J, Sundaresan A, Cokus S, Chan SW-L, Chen H, Henderson IR, Shinn P, Pellegrini M, Jacobsen SE, Ecker JR: Genome-wide high-resolution mapping and functional analysis of DNA methylation in Arabidopsis. Cell. 2006, 126: 1189-1201. 10.1016/j.cell.2006.08.003.

    Article  PubMed  Google Scholar 

  38. Tomkins J, Yu Y, Miller-Smith H, Frisch D, Woo S, Wing R: A bacterial artificial chromosome library for sugarcane. Theoretical Appl Genet. 1999, 99: 419-424. 10.1007/s001220051252.

    Article  Google Scholar 

  39. McCarthy EM, McDonald JF: LTR_STRUC: a novel search and identification program for LTR retrotransposons. Bioinformatics. 2003, 19: 362-367. 10.1093/bioinformatics/btf878.

    Article  PubMed  Google Scholar 

  40. Sayers EW, Barrett T, Benson DA, Bolton E, Bryant SH, Canese K, Chetvernin V, Church DM, DiCuccio M, Federhen S, Feolo M, Fingerman IM, Geer LY, Helmberg W, Kapustin Y, Landsman D, Lipman DJ, Lu Z, Madden TL, Madej T, Maglott DR, Marchler-Bauer A, Miller V, Mizrachi I, Ostell J, Panchenko A, Phan L, Pruitt KD, Schuler GD, Sequeira E: Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2011, 39: D38-D51. 10.1093/nar/gkq1172.

    Article  PubMed Central  PubMed  Google Scholar 

  41. Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.

    Article  PubMed Central  PubMed  Google Scholar 

  42. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol Biol Evol. 2011, 28: 2731-2739. 10.1093/molbev/msr121.

    Article  PubMed Central  PubMed  Google Scholar 

  43. Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser. 1999, 41: 95-98.

    Google Scholar 

  44. Vettore AL, Silva FRD, Kemper EL, Arruda P: The libraries that made SUCEST. Genet Mol Biol. 2001, 24: 1-7. 10.1590/S1415-47572001000100002.

    Article  Google Scholar 

  45. Untergasser A, Nijveen H, Rao X, Bisseling T, Geurts R, Leunissen JA: Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Res. 2007, 35: W71-W74. 10.1093/nar/gkm306.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Mapping and Assembly with Qualities. []

  47. Sambrook J, Fritsch EF, Maniatis T: Molecular Cloning: A Laboratory Manual. Edited by: Irwin N, Ford N, Nolan C, Ferguson M Cold Spring Harbor Laboratory Press. 1989, 2

    Google Scholar 

  48. Heslop-Harrison P, Schwarzacher T: Practical In situ Hybridization. 2000, Oxford, UK: BIOS Scientific Publishers Ltd

    Google Scholar 

Download references


The authors thank Dr Marguerite Rodier-Goud (CIRAD, Montpellier, France), Dr Angélique D'Hont (CIRAD, Montpellier, France), Dr Reginaldo Carvalho (Universidade Federal Rural de Pernambuco, Recife, Brazil) and Dr.Ana Christina Brasileiro Vidal (Universidade Federal de Pernambuco, Recife, Brazil) for help with the preparation of metaphases from sugarcane and fluorescence in situ hybridization. We also thank GaTE Lab members Dr Nathalia de Setta, Andréia Prata, Edgar Andres Ochoa-Cruz and Kleber Alves Gomes for their help with sugarcane BAC sequencing under the BIOEN project. This work was partly funded by FAPESP-BIOEN 2008/52074-0 and CNPq grants to MAVS. DSD, GMQC and CJM are supported by fellowships from FAPESP. DSD was also supported by a fellowship from CAPES.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Marie-Anne Van Sluys.

Additional information

Competing interests

The authors declare that they have no competing interests

Authors' contributions

The project was designed by MAVS, DSD and GMQC, and co-ordinated by MAVS. DSD, GMQC and CJM did the bio-informatic analyses. CJM carried out the FISH assays. FTSN and RV made the sRNA library and did the sRNA analyses. CSA did the RT-PCRs. DSD, GMQC, CJM, FTSN, RV and MAVS wrote the manuscript. All authors read and approved the final manuscript.

Douglas S Domingues, Guilherme MQ Cruz contributed equally to this work.

Electronic supplementary material


Additional file 1: Gypsy and Copia Maximum Likelihood phylogenies. Maximum-likelihood phylogeny of Gypsy families (Figure 1) based on reverse transcriptase. Sequences from the Gypsy database [8] are denoted with a plus symbol, those from Du et al. [7] with a star. Maximum-likelihood phylogeny of Copia families (Figure 2) based on reverse transcriptase. Sequences from the Gypsy database [8] are denoted with a plus symbol, those from Wicker and Keller [6] with a star. Robustness of the nodes was estimated by 500 bootstrap replications. Bootstrap values below 50 are not shown. (PPTX 101 KB)


Additional file 2: Fluorescence in situ hybridization with the DEL probe. Figure of fluorescence in situ hybridization using the Del probe, prepared and labelled twice, once with Digoxigenin (DIG) and detected with Anti-DIG-Rhodomine (red signal) and once with Biotin and detected with NeutrAvidin-Oregon Green(green signal). The probes were hybridized to the same slide in consecutive FISH experiments under the same conditions. The same pattern was observed for both probes, suggesting that the signal was real, and the same FISH conditions was used for all LTR-RT probe. (PPTX 1 MB)


Additional file 3: Assignment of previously described cDNA sequences to LTR-RT families. Thirty manually curated sugarcane cDNAs related to LTR-RTs [20] were assigned to a family according Wicker et al. [5]: 80% coverage with 80% nucleotide identity. (XLSX 10 KB)


Additional file 4: sRNA mapping to individual LTR-RT elements. Mapping of sRNAs within each LTR-RT family (Figures 1 to 7). 20-22nt sRNAs are represented as blue lines, 23-25ntsRNAs as red lines. Each figure shows a different lineage, and includes all the families of that lineage. A scaled schematic (also shown in Figures 1 and 2), is shown below each sRNA map. (PPTX 759 KB)


Additional file 5: Total 20-22nt and 23-25nt sRNA counts for each LTR-RT family. Total 20-22nt (black) and 23-25nt (grey) sRNA counts for each LTR-RT family, with a mismatch of 2nt allowed. (PPTX 87 KB)


Additional file 6: LTR-RT information. Name assigned in this paper, pre-existing name from [14, 20], GenBank accession number, size of full-length element, length of 5' and 3' LTRs, and sequence of 5 and 3' TSDs, for individual LTR-RT sequences. (XLSX 15 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Domingues, D.S., Cruz, G.M., Metcalfe, C.J. et al. Analysis of plant LTR-retrotransposons at the fine-scale family level reveals individual molecular patterns. BMC Genomics 13, 137 (2012).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: