Nicotiana sylvestris and Nicotiana tomentosiformis are members of the Solanaceae family that includes tomato, potato, eggplant and pepper. These two Nicotiana species originate from South America and exhibit different alkaloid and diterpenoid production. N. sylvestris is cultivated largely as an ornamental plant and it has been used as a diploid model system for studies of terpenoid production, plastid engineering, and resistance to biotic and abiotic stress. N. sylvestris and N. tomentosiformis are considered to be modern descendants of the maternal and paternal donors that formed Nicotiana tabacum about 200,000 years ago through interspecific hybridization. Here we report the first genome-wide analysis of these two Nicotiana species.
Results
Draft genomes of N. sylvestris and N. tomentosiformis were assembled to 82.9% and 71.6% of their expected size respectively, with N50 sizes of about 80 kb. The repeat content was 72-75%, with a higher proportion of retrotransposons and copia-like long terminal repeats in N. tomentosiformis. The transcriptome assemblies showed that 44,000-53,000 transcripts were expressed in the roots, leaves or flowers. The key genes involved in terpenoid metabolism, alkaloid metabolism and heavy metal transport showed differential expression in the leaves, roots and flowers of N. sylvestris and N. tomentosiformis.
Conclusions
The reference genomes of N. sylvestris and N. tomentosiformis represent a significant contribution to the SOL100 initiative because, as members of the Nicotiana genus of Solanaceae, they strengthen the value of the already existing resources by providing additional comparative information, thereby helping to improve our understanding of plant metabolism and evolution.
Background
Woodland tobacco (Nicotiana sylvestris) grows naturally in the Andes from Bolivia to Argentina and is largely cultivated nowadays as an ornamental plant. Nicotiana tomentosiformis also grows naturally in the Andes but over a wider range, from Peru to Argentina [1]. N. sylvestris (2n = 24) and N. tomentosiformis (2n = 24) belong to clades of the Nicotiana sections Sylvestres and Tomentosae, respectively, of the Solanaceae family, which have diverged about 15 million years ago [2]. Other members of this family include many agriculturally important species such as tomato, potato, eggplant and pepper. N. sylvestris is considered to be the maternal donor, which about 200,000 years ago merged through interspecific hybridization with N. tomentosiformis (most likely paternal donor) to form an allotetraploid N. tabacum (2n = 4x = 48), the common tobacco [3]. Thus, the N. sylvestris and N. tomentosiformis genome sequences are expected to have high identity to the S-genome and T-genome of N. tabacum, respectively. Both are important for understanding the biological processes - for example, regulation of gene expression, in allotetraploid N. tabacum species.
N. sylvestris and N. tomentosiformis are diploid species with an estimated 1C genome size of about 2,650 Mb. As summarized in the Plant DNA C-values database [4], the genome size estimation based on 1C measurements for N. sylvestris ranges from 2.078 to 2.812 Gb [3, 5–9], with the generally accepted size of 2.636 Gb. For N. tomentosiformis, the genome size ranges from 1.809 to 2.763 Gb [3, 7, 8], with the accepted size of 2.682 Gb.
A subset of simple sequence repeat (SSR) markers derived from the Tobacco Genome Initiative [10] and conserved ortholog set (COSII) [11] was used to construct a genetic map for the diploid N. tomentosiformis (on a mapping population of N. tomentosiformis TA3385 × N. otophora TA3353) and for N. acuminata, a species closely related to N. sylvestris [12]. It was because of the failure to produce a suitable mapping population for N. sylvestris that a mapping population of N. acuminata TA3460 × N. acuminata TA3461 was used instead. A high density genetic map of an allotetraploid N. tabacum was built based on a complete set of 2,317 SSR markers applied to an F2 mapping population of Hicks Broadleaf and Red Russian [13]. Recently, another genetic map of tobacco was constructed from SSR markers applied to a mapping population of two flue-cured tobacco varieties, Honghua Dajinyuan and Hicks Broadleaf [14]. All these genetic markers can serve as anchoring points for validation of the N. sylvestris and N. tomentosiformis genome assemblies because of their high similarity to the S- and T-genomes of tobacco.
In plant biology, N. sylvestris serves as a diploid model system for studies of terpenoid production in glandular trichomes [15, 16], engineering of plastid genomes [17, 18], mitochondrial function [19, 20], herbicide resistance [21, 22] and plant virus resistance [23]. Besides its contribution to tobacco, N. sylvestris has been shown to be a modern descendent of one of the progenitors of other polyploid Nicotiana species (for example, N. nudicaulis, N. repanda, N. nesophila and N. stocktonii) [1]. Chase et al. [24] have even suggested that N. sylvestris might have been 'ancestral' to all the Nicotiana species because it easily produces crosses within the genus. N. tomentosiformis has been investigated mostly as a possible ancestor of N. tabacum.
Similar to other members of the Solanaceae family, N. sylvestris produces a wide range of alkaloids that are toxic to insects; this serves as a well-established mechanism of its natural defense against damage to leaves and flowers caused by herbivores [25]. Leaves of the field-grown plants under a defoliation regime exhibit a four-fold increase in total leaf alkaloids depending on leaf position compared with undamaged control plants [26]. It was shown that wounding induces nicotine transport to the injured tissues via the jasmonate signal transduction pathway [25]. Upon wounding, accumulated jasmonates in the shoots are transported to the roots, where they stimulate nicotine synthesis leading to augmented nicotine availability throughout the plant [27]. Nicotine is the predominant alkaloid in N. sylvestris [28] and, unlike for most Nicotiana species in which the roots contain higher quantities of alkaloids compared with the leaves, the total alkaloid content in dry N. sylvestris leaves is the highest (2.96%) in the genus and only 0.786% in roots [29]. The nicotine content of N. sylvestris (82% of 4.8 mg/g total alkaloids) was found to be much higher than the nicotine content of N. tomentosiformis (6% of 0.5 mg/g total alkaloids), and this could be the driving force behind the favorable allotetraploidization between N. sylvestris and other Nicotiana species [30]. Nornicotine is the predominant alkaloid (65% of 0.5 mg/g total alkaloids) in N. tomentosiformis, which is typical for the members of Tomentosae section. In this work, we provide a genomic explanation for the dramatic differences in the alkaloid metabolism between these two Nicotiana species.
The Nicotiana genus is a rich source of terpenoids, the biosynthesis of which has been reviewed previously [31, 32]. Terpenoids play a significant role as attractants to a number of insects that pollinate N. sylvestris and N. tomentosiformis [27]. Two of the most abundant diterpenoids, cembranoids and labdanoids, are synthesized in the trichome glands of N. tabacum cultivars. However, N. sylvestris produces predominantly labdanoids and N. tomentosiformis produces predominantly cembranoids [27, 33]. To better understand these differences at the genomic level, we attempted to investigate the structure and copy number of the genes responsible for diterpenoid metabolism in their respective genomes.
Another peculiar property of Nicotiana species is their high susceptibility to accumulate cadmium as well as other heavy metals [34]. Rosén et al. [35] compared the availability of added and naturally occurring soil cadmium in N. sylvestris plants and found that cadmium concentrations in the leaves was three-fold higher than in the roots, and two-fold higher than in the soil. We examined a set of genes believed to be involved in heavy metal accumulation and describe their structural variations between the two Nicotiana plants.
High quality genome sequences of tomato and potato have been published and annotated thoroughly by the Solanaceae community [36, 37]. Comparison of the N. sylvestris and N. tomentosiformis genomes with these two reference genomes will improve our understanding of Nicotiana clade evolution and expedite the functional annotation of their genomes. A draft of the first Nicotiana genome (N. benthamiana, about 3 Gb in size) has recently been published and its utility has been shown immediately in the discovery of homologs of some immunity-associated genes [38]. Because the allotetraploid genome of N. benthamiana is a result of the hybridization of two Nicotiana species at least one of which is thought to be a member of the Sylvestres clade [30, 39], a certain degree of synteny with the genome of N. sylvestris might be expected.
The estimated genome sizes of N. sylvestris and N. tomentosiformis (approximately 2,600 Mb) are nearly three times larger than the tomato (900 Mb) [37] or potato (844 Mb) [36] genomes, a phenomenon that could be explained by repeat expansion in the Nicotiana genomes due to the accumulation of transposable elements. C0t measurements in the N. tabacum genome, which showed the presence of 55% short (approximately 300 nucleotides) and 25% long (approximately 1,500 nucleotides) repeats [40], support this hypothesis. Similarly, pepper euchromatin doubled its size compared with tomato through a massive gain of a specific group of long terminal repeat (LTR) retrotransposons [41]. The N. sylvestris genome showed signs of more recent repeat expansions with higher homogeneity, whereas the genome of N. tomentosiformis showed significantly higher repeat diversity [2]. Further, the N. sylvestris genome was reported to have a higher content of Tnt1 transposons and a more uniform distribution of the elements than the N. tomentosiformis genome [42, 43]. A more detailed analysis showed that the relative copy numbers of four retrotransposons (Tnt1-OL13, Tnt1-OL16, Tnt2d and Tto1-1R) were higher in N. sylvestris than in N. tomentosiformis [44]. Conversely, Renny-Byfield et al. [45] found that a highly repetitive DNA sequence (NicCL3) made up to 2% of the N. tomentosiformis genome but was almost absent in the N. sylvestris genome. A second repetitive DNA sequence, NicCL7/30, was also found to be more represented in N. tomentosiformis than N. sylvestris, although not as strongly. Other repeat families, EPRV [46], TAS49 [47] and GRS [43], were identified in both genomes and displayed differential copy number, distribution and methylation patterns. These findings emphasize the significant differences in the evolution of the two genomes since they diverged about 15 million years ago.
The assembly of the N. sylvestris and N. tomentosiformis transcriptomes based on 454 sequencing data showed that only 33% of the sequences contained substitutions between the two species [48]. Bombarely et al. [48] suggested that additional Illumina sequencing of the transcriptome should overcome the 'homopolymer' problem due to pyrosequencing and that genomic DNA sequencing would allow an increased number of SNPs to be identified. Elucidating the transcriptomes of N. sylvestris and N. tomentosiformis can shed light on their protein complement, and allow more targeted experimental investigations of these and related species. Recently an Affymetrix Tobacco Exon Array was developed based on the current genome and EST sequence data from the Tobacco Genome Initiative, which cover a large proportion of the tobacco gene space [49]. Because the probes that cover both the S-genome and T-genome of N. tabacum are very similar to the N. sylvestris and N. tomentosiformis genomes, respectively; in this study we have used the Tobacco Exon Array to investigate the differential gene expression between the latter two Nicotiana species.
Here, we present the sequencing and assembly of the N. sylvestris and N. tomentosiformis whole genomes as well as the transcriptomes from leaves, roots and flowers. We assess the assembly quality, and analyze and compare them to the existing genomes and transcriptomes from other members of the Solanaceae family. We take a more detailed look at the gene families involved in alkaloid and terpenoid metabolism and heavy metal transport because they should contribute to the unique characteristics of these two plants.
Results and discussion
Genome assembly
The N. sylvestris and N. tomentosiformis genomes were sequenced using a whole-genome shotgun sequencing approach. For N. sylvestris, a 94× coverage of 100 bp Illumina HiSeq-2000 reads was used. In total, six libraries were constructed with different insert sizes ranging from 180 bp to 1 kb for paired-end libraries, and from 3 to 4 kb for mate-pair libraries. The numbers of clean reads in each library are summarized in Additional file 1. Similarly, for N. tomentosiformis a 146× coverage of 100 bp Illumina HiSeq-2000 reads was used. In total, seven libraries were constructed with different insert sizes ranging from 140 bp to 1 kb for paired-end libraries, and from 3 to 5 kb for mate-pair libraries. The numbers of clean reads in each library are summarized in Additional file 2.
The genomes were assembled by creating contigs from the paired-end reads and then scaffolding them with the mate-pair libraries. In this step, mate-pair information from closely related species was also used. The resulting final assemblies, described in table 1, amounted to 2.2 Gb and 1.7 Gb for N. sylvestris and N. tomentosiformis, respectively, of which, 92.2% and 97.3% were non-gapped sequences. The N. sylvestris and N. tomentosiformis assemblies contain 174 Mb (7.8%) and 46 Mb (2.7%) undefined bases, respectively. The N. sylvestris assembly contains 253,984 sequences, its N50 length is 79.7 kb, and the longest sequence is 698 kb. The N. tomentosiformis assembly is made of 159,649 sequences, its N50 length is 82.6 kb, and the longest sequence is 789.5 kb.
Table 1
Statistics of the assembly of the N.
N. sylvestris
N. tomentosiformis
Sequences
253,984
159,649
Average length (bp)
8,748.83
10,576.84
Maximum length (bp)
698,072
789,565
N50 length (bp)
79,724
82,598
Total length (bp)
2,222,062,302
1,688,581,715
Undefined bases
174,351,674 (7.8%)
45,955,292 (2.7%)
Genome coverage
82.9%
71.6%
sylvestris and N. tomentosiformis draft genomes
With the advent of next-generation sequencing, genome size estimations based on k-mer depth distribution of sequenced reads are becoming possible [36, 50–52]. For instance, the recently published potato genome was estimated to be 844 Mb using a 17-mer distribution [36], in good agreement with its 1C size of 856 Mb [4]. Furthermore, the analysis of repetitive content in the 727 Mb potato genome assembly and in bacterial artificial chromosomes and fosmid end sequences indicated that much of the unassembled genome sequences were composed of repeats [36]. In N. sylvestris and N. tomentosiformis the genome sizes were estimated by this method using a 31-mer to be 2.68 Gb and 2.36 Gb, respectively. While the N. sylvestris estimate is in good agreement with the commonly accepted size of its genome based on 1C DNA values, the N. tomentosiformis estimate is about 15% smaller than its commonly accepted size. Estimates using a 17-mer were smaller; 2.59 Gb and 2.22 Gb for N. sylvestris and N. tomentosiformis, respectively. Using the 31-mer depth distribution, we estimated that our assembly represented 82.9% of the 2.68 Gb N. sylvestris genome and 71.6% of the 2.36 Gb N. tomentosiformis genome.
The proportion of contigs that could not be integrated into scaffolds was low; namely, the N. sylvestris assembly contains 59,563 contigs (18 Mb; N50 length of 273 bp) that were not integrated in scaffolds, and the N. tomentosiformis assembly contains 47,741 contigs (17.3 Mb; N50 length of 346 bp) that were not integrated in scaffolds. Using the regions of the Whole Genome Profiling (WGP) physical map of tobacco [53] that are of N. sylvestris or N. tomentosiformis ancestral origin, the assembly scaffolds were superscaffolded and an N50 of 194 kb for N. sylvestris (10,261 contigs and scaffolds in 2,637 superscaffolds) and of 166 kb for N. tomentosiformis (7,463 contigs and scaffolds in 1,989 superscaffolds) were obtained. Superscaffolding was performed using the WGP physical map contigs as templates and positioning the assembled sequences for which an orientation in the superscaffolds could be determined. This approach discards any anchored sequence of unknown orientation as well as any sequence that spans across several WGP contigs, thereby reducing the number of superscaffolded sequences. Furthermore, the superscaffolding introduced additional unknown bases (N) into the assembly because the length of each stretch was estimated based on the tobacco genome.
Repeat content
The repeat content of the N. sylvestris and N. tomentosiformis genomes is summarized in Table 2. Additional file 3 shows this in more detail. More than 70% of both genomes are repeat elements. In N. tomentosiformis, there seem to be more copia-type LTRs (13.43% and 9.13%, respectively) and retrotransposons (13.05% and 10.33%, respectively) than in N. sylvestris; while the amount of gypsy-like LTRs is about 20% in both genomes. The difference between the total size of sequenced DNA and repeat-masked DNA indicates that the gene-rich DNA is around 625 Mb for N. sylvestris and 425 Mb for N. tomentosiformis.
Table 2
Composition of the repeat elements in the N.
N. sylvestris
N. tomentosiformis
Repeat element
Number of bases
%
Number of bases
%
LINE
5,828,979
0.27
2,834,174
0.17
SINE
4,040,138
0.18
5,244,169
0.31
LTR/copia
203,592,581
9.13
227,491,087
13.43
LTR/gypsy
463,070,166
20.75
343,784,620
20.32
LTR/others
184,881,207
8.28
90,166,206
5.33
Transposons
33,621,895
1.51
22,593,004
1.34
Retrotransposons
230,653,066
10.33
220,727,245
13.05
Simple repeats
4,954,900
0.22
4,809,855
0.28
Low complexity
10,145,060
0.45
9,723,109
0.57
Others
95,243,945
4.28
130,185,895
7.72
Unknown
197,792,439
8.86
116,127,639
6.86
Total
1,605,541,978
71.95
1,266,206,541
74.84
sylvestris and N. tomentosiformis genomes
More Tnt1 retrotransposons are found in N. tomentosiformis than in N. sylvestris, (7.39% and 3.98% respectively), which apparently contradicts previous reports [42–44]. This finding could be caused by the mislabeling of novel N. tomentosiformis repetitive elements obtained by RepeatScout as Tnt1. The amounts of Tnt2 and Tto1 repetitive elements are higher in N. sylvestris than in N. tomentosiformis and this finding agrees with previous studies. Furthermore, as reported previously [45], we also observed a higher proportion of NicCL3 (0.75% versus 0.14%) and NicCL7/30 (5.57% versus 2.94%) repetitive DNA elements in N. tomentosiformis than in N. sylvestris.
Genetic markers
The 2,363 tobacco SSR markers reported previously [13] were mapped to both genome assemblies. The number of uniquely mapped markers on each genome was then compared with the results of the PCR amplification tests performed in N. sylvestris and N. tomentosiformis, in order to assign an origin to them when creating the tobacco genetic map (Additional file 4). Sixty-five percent of the SSR markers that amplified only in N. sylvestris mapped only to the N. sylvestris genome; 7% mapped to both genomes. Similarly, 65% of the SSR markers that amplified only in N. tomentosiformis mapped only to N. tomentosiformis; 15% mapped to both N. sylvestris and N. tomentosiformis. About a third of the tobacco SSR markers could not be mapped. This can be expected, because the current draft genome assemblies are likely to fail assembling in regions with simple repeats such as the ones found in SSR markers. If this is the case, a primer pair will match to two different sequences.
Of the 173 SSR markers present in the N. acuminata genetic map (Additional file 5), 128 (74%) of them could be mapped to the N. sylvestris genome assembly. This number is the sum of the 75 SSRs of the N. acuminata map found in the N. sylvestris assembly, the 50 SSRs of the N. acuminata map found in the N. sylvestris and N. tomentosiformis assemblies, the single SSR of the N. acuminata and N. tomentosiformis maps found in the N. sylvestris assembly, and the 2 SSRs of the N. acuminata and N. tomentosiformis maps found in the N. sylvestris and N. tomentosiformis assemblies (Additional file 6). Similarly, of the 221 SSR markers present in the N. tomentosiformis genetic map (Additional file 7), 173 (78%) could be mapped to the N. tomentosiformis genome assembly (Additional file 6). In addition, 706 SSR markers not present on the existing genetic maps could be mapped to the N. sylvestris genome assembly, 605 mapped to the N. tomentosiformis genome assembly, and 174 mapped to both.
Of the 134 COSII markers present in the N. acuminata genetic map, 45 (34%) could be mapped to the N. sylvestris genome assembly (Additional file 8). Similarly, of the 262 COSII markers in the N. tomentosiformis genetic map, 81 (31%) could be mapped to the N. tomentosiformis genome assembly (Additional file 8). Using the same method, 736 of the 879 COSII markers (84%) on the expen2000 tomato genetic map could be found; 718 of them mapped to the expected chromosome. In addition, 68 COSII markers not present on the existing genetic maps could be mapped to the N. sylvestris genome assembly, 78 mapped to the N. tomentosiformis genome assembly, and 226 mapped to both.
The low numbers of COSII markers that could be mapped to the N. sylvestris and N. tomentosiformis assemblies, despite the good results that were obtained using the same method on the tomato map, could be due to the current fragmented state of the assemblies, or because the COSII marker primers are not adapted for Nicotiana species.
Transcriptome assembly
The number of reads obtained for each of the tissue-specific samples from both species is outlined in Additional file 9. Tissue-specific assemblies were generated for the three samples (root, leaf and flower) by mapping the reads to the reference genomes using the Bowtie2/Tophat2 pipeline. The length distributions of the assembled transcripts are summarized in table 3. In addition, a reference transcriptome for each species was created by merging the three individual tissue-specific assemblies. We also used a de novo assembly program to generate an assembly that potentially contains transcripts missing from the mapping assembly because of the absence of certain genes from the current reference genome assembly. The size and length distribution of the assembled transcripts is shown in Additional file 10.
Table 3
Number and length distribution of transcripts from the tissue-specific read mapping using Cufflinks2
Sequence
Transcript length distribution
Species
Tissue
number
Q0
Q1
Q2
Q3
Q4
N. sylvestris
Flower
53,247
63
796
1,327
2,122
24,850
Leaf
46,114
72
801
1,372
2,216
23,553
Root
46,313
72
826
1,364
2,159
20,215
N. tomentosiformis
Flower
48,043
75
864
1,410
2,200.5
15,607
Leaf
43,743
89
817
1,415
2,249
19,133
Root
44,169
69
832
1,388
2,169
16,753
Sequences that contained the pseudo-base N were excluded. Quartiles are labeled with Q0 to Q4.
Transcript and protein quality
The assembled reference transcriptome was assessed for completeness and accuracy by mapping the transcripts to the UniProt reference plant sequence databases. The number of sequences for both the transcripts and the unique genes from which the transcripts are derived that could be mapped was similar for N. sylvestris and N. tomentosiformis (Figure 1). For N. sylvestris and N. tomentosiformis, 58.6% and 60.5% of transcripts, respectively, had significant ORFs with a length equal to or longer than 100 amino acids. The majority, 82.2% for N. sylvestris and 81.9% for N. tomentosiformis, had a homologous sequence in the UniProt Knowledgebase. Approximately a third of these peptide sequences, 37.2% in N. sylvestris and 36.5% in N. tomentosiformis, had hits in Swiss-Prot, the annotated subset of UniProt. The BLAST alignments show that while the coverage of the predicted ORFs by the reference sequences is generally high (Figure 2) and comparable between the species, the coverage of the reference sequence by the predicted ORFs is often partial, indicating that these ORFs are likely to be incomplete.
Figure 1
Numbers of transcripts from the merged tissue assemblies with hits to UniProt plant sequences.
Figure 2
Percentage coverage of predicted ORFs from the merged transcript assemblies by homologs from UniProt. Hits were determined by BLAST searches. (a,b) The ORFs were derived from the transcripts from the N. sylvestris (a) and N. tomentosiformis (b) genome assemblies. Dots are indicating the percentage of coverage of the query and the reference for each BLAST hit. Histograms for the coverage of the query and reference show the categorized number of BLAST hits.
Functional comparison to other species
We used the OrthoMCL software [54, 55] to define clusters of orthologous and paralogous genes between N. sylvestris and N. tomentosiformis, as well as tomato, another representative of the Solanaceae family, and Arabidopsis as a representative of the eudicots (Figure 3). While a large number of sequences are shared between all the species (7,098), many are specific to Solanaceae (2,790). A very high number of sequences are only observed in the Nicotiana species (3,614), with several hundred gene clusters being specific to N. sylvestris and N. tomentosiformis. These sequences may be artifacts that are the result of incomplete transcripts not clustering correctly, rather than actual novel protein families that evolved since the split of the species.
Figure 3
Clusters of orthologous genes fromN. sylvestris, N. tomentosiformis, tomato and Arabidopsis. The genes for the predicted N. sylvestris and N. tomentosiformis ORFs are from the merged transcript assemblies. Tomato is a representative of Solanaceae and Arabidopsis is a representative eudicot.
At the tissue level (Figure 4), the vast majority of gene clusters are shared. As far as the number of clusters is concerned, flowers had the most diverse transcriptome; flowers also contain a large number of transcripts (3,510 for N. sylvestris and 3,387 for N. tomentosiformis) not found in root or leaf tissues. The number of tissue-specific clusters is very low (<20 for any of the tissues in either of the species); this number reflects the 'noise level' of the merging process because in choosing representative transcripts while merging of the tissue transcriptomes, a different set of exons may have been chosen, and the tissue sequences may not match the representative in the merged transcriptome.
Figure 4
Clusters of orthologous genes from the individual tissue and merged sample reads. The gene sequences are derived from RNA-seq reads. (a) The gene clusters for N. sylvestris. (b) The gene clusters for N. tomentosiformis.
Functional annotation
Function assignment for proteins was performed by computational means, using the EFICAz program to assign Enzyme Commission (EC) numbers and the InterProScan software to assign Gene Ontology (GO) terms (Table 4).
Table 4
Functional annotation of the predicted proteome from the N.
N. sylvestrismerged
N. tomentosiformismerged
Unique IDs
38,940
38,648
EC numbers
Any EC assignment
12,220
11,951
3×EC assignments
7,793
7,611
... to unique proteins
7,554
7,397
3×EC assignments HC
4,117
4,069
...to unique proteins
4,061
4,008
Unique 3×EC numbers
148
150
4×EC assignments
4,427
4,340
...to unique proteins
4,203
4,120
4×EC assignments HC
3,096
3,120
...to unique proteins
2,989
3,007
Unique 4×EC
635
635
GO terms
Unique protein IDs
22,497
22,196
Unique protein IDs with a molecular function
19,852
19,551
Biological process
48,896
48,365
Molecular function
24,680
24,136
Cellular component
8,414
8,419
sylvestris and N. tomentosiformis assemblies
EFICAz2.5 was used to assign Enzyme Commission (EC) numbers and InterProScan was used to assign GO terms assignments to the ORFs derived from the assemblies. HC, high confidence.
Over 7,000 proteins could be annotated with a three-digit EC number using the EFICAz tool (7,554 in N. sylvestris, 7,397 in N. tomentosiformis), of which over 4,000 were assigned with high confidence (4,061 in N. sylvestris and 4,008 in N. tomentosiformis). This implies that just less than 20% of the predicted proteome of the two species (19.4% and 19.1% for N. sylvestris and N. tomentosiformis) has enzymatic function. Just over 4,000 and over 3,000 four-digit EC numbers could be assigned to predicted proteins. Although the number of unique four-digit EC numbers is comparatively small (635 for both N. sylvestris and N. tomentosiformis), this information can still be used to generate molecular pathway databases.
Approximately half of all the proteins were annotated with at least one GO term by the InterProScan software (57.8% for N. sylvestris and 57.4% for N. tomentosiformis); close to 50,000 biological process tags were assigned and slightly more than 20,000 molecular functions were assigned to just under 20,000 unique proteins. GO term enrichment was analyzed using the GOStats package [56]. Enrichment was tested by comparing the GO term complement for each species against the background of the pooled set of GO terms from both organisms. We see only small and not highly significant changes in gene composition. For N. sylvestris, the defense response function is overrepresented; in N. tomentosiformis we observe an enrichment of core metabolic functions as well as protein phosphorylation. The phenotypic differences between the species are thus likely to be regulatory rather than due to the loss or gains of new genes. A caveat exists in that the absence of a gene in the genome of one species does not guarantee that the gene does not exist: it is possible that the section of the genome containing the gene simply has not been covered by our current efforts and that further sequencing will identify these. The results of GO term enrichment analysis are shown in Additional file 11.
Heavy-metal transport
A non-exhaustive list of gene copies that may be involved in cadmium/zinc (Cd/Zn) accumulation (Figure 5) in Nicotiana leaves is shown in Additional file 12. The corresponding transcripts in root, leaf and flower are depicted. The expression data resulting from the hybridization of specific Affymetrix probes (100% matches with the targeted sequences) with leaf RNA isolated from N. sylvestris and N. tomentosiformis provided data similar to fragments per kilobase of transcript per million mapped reads (FPKM) expression data. The results show that the design of the Affymetrix exon probes is suitable for the analyses of gene expression in both tobacco ancestors, N. sylvestris and N. tomentosiformis.
Figure 5
Diagrammatic representation of heavy-metal transport and accumulation inNicotianaleaves. Left circle: cadmium is transported by IRT from the environment in the root, and then by HMA into the phloem. Middle: NA and PCS transport cadmium from the root to the leaves. Right circle: in roots and leaves, cadmium enters cells, where it is transported to the vacuole by HMA, ABC or CAX. ABC also exports cadmium outside of the cell. ABC, ATP-binding cassette transporter; CAX, cation/proton exchanger; HMA, heavy metal ATPase; IRT, iron transporter protein; NA, nicotinamine synthase; PCS, phytochelatin synthase.
Based on sequence and expression data analogies with corresponding Arabidopsis thaliana gene data, two Nicotiana iron transport-related sequences belonging to the IRT family were identified and named NsylIRT1, NtomIRT1 and NsylIRT2, NtomIRT2 corresponding to Arabidopsis IRT1 and IRT2. Both of the A. thaliana genes are expressed in the roots and are involved in Zn/Cd uptake [57], although IRT1 is more selective for iron [58]. Interestingly, IRT1 and IRT2 are expressed in N. sylvestris roots but not in N. tomentosiformis roots, suggesting that one or more other genes, possibly belonging to the ZIP family, function for Zn and iron uptake in N. tomentosiformis [59]. Conversely, the potential Nicotiana orthologs (NtomIRT3 and NsylIRT3) of AtIRT3 are not expressed in the roots (Additional file 12), although AtIRT3 is expressed in Arabidopsis roots, where it is involved in Zn and iron transport [60]. Interestingly, NsylIRT3 and NtomIRT3 transcripts are more abundant in flower tissues most likely for the redistribution of Zn and Fe. The function of NicotianaIRT3 is possibly closer to the Zrt/IRT-like protein AtZIP4, which is highly expressed in anther and pollen [61], where it is suspected to play a role in Zn redistribution in flowers ([62] and references therein). Thus, Zn and iron uptake is likely driven by AtIRT1 and AtIRT2 orthologous proteins in N. sylvestris, whereas another gene(s) is likely to perform this function in N. tomentosiformis.
The P1B-type ATPases, known as heavy metal ATPases (HMAs), play important roles in metal transport in plants. In Arabidopsis, AtHMA3 (OsHMA3 in rice) is localized in the tonoplast membrane, where it plays a major role in detoxifying Zn and Cd through vacuolar sequestration. AtHMA3 is recognized as the major locus responsible for the variation in leaf Cd accumulation of A. thaliana accessions. AtHMA2 (OsHMA2 in rice) and AtHMA4 (likely OsHMA9 in rice), are localized in the plasma membrane and are expressed in the tissues that surround the vascular vessels of roots, where they function in Zn and Cd efflux from cells [63]. In N. sylvestris, N. tomentosiformis and Solanum lycopersicum (Solyc07g009130) genomes, only one HMA gene orthologous to the sub-cluster formed by AtHMA2, AtHMA3 and AtHMA4 in A. thaliana is present. This suggests a strong evolutionary divergence between Brassicaceae-Poaceae and Solanaceae. The FPKM expression data show major expression of Nicotiana HMA in the root tissues, suggesting that it has functions that are similar to those of AtHMA2, AtHMA3 and AtHMA4, and is more involved in Zn/Co/Cd/Pb translocation from root to shoot than in vacuolar sequestration.
The long-distance root-to-shoot transport of Cd/Zn can be driven by phytochelatins or nicotianamine. Therefore, the key genes that may affect Cd/Zn accumulation in leaves are phytochelatin synthases (PCS) and nicotianamine synthetases (NS) [64, 65]. The orthologous genes (PCS, NS1 and NS2) identified in N. sylvestris and N. tomentosiformis exhibit similar expression profiles in the root, leaf and flower tissues, suggesting that transport in vascular tissues is similar in both Nicotiana species.
Genes orthologous to the ABC transporters that are involved in Cd transport in A. thaliana, such as AtPDR8 (PDR) [66] and AtATM3 (ATM) [67], are found in both the N. sylvestris and N. tomentosiformis genome. Their expression profiles are similar in both Nicotiana species and close to their expression profiles in Arabidopsis, suggesting that these genes have similar functions in root, leaf and flower in both species. ABC proteins related to the multidrug resistance-associated protein (MRP) family have been already described to be involved in Cd transport and sequestration [68, 69] Although the precise cellular function of one of the MRP family members in N. tabacum, NtMRP4, has not yet been determined, silencing NtMRP4 [70] resulted in Cd reduction in leaves under field conditions. The corresponding gene is expressed in both N. sylvestris and N. tomentosiformis, suggesting that it has similar functions in both plants.
Other genes that play a role in Cd accumulation into vacuoles belong to the cation proton exchanger (CAX) family. Overexpression of AtCAX2 and AtCAX4 in tobacco resulted in Cd accumulation in the roots and a subsequent decrease in the shoots [71]. Four genes that clustered with AtCAX2 and not AtCAX4 (Additional file 13) were identified in N. sylvestris and N. tomentosiformis, suggesting that tobacco CAX gene products orthologous to AtCAX2 and not AtCAX4 may play roles in Cd sequestration in Nicotiana species. The expression profiles of the four genes are similar in both N. sylvestris and N. tomentosiformis, indicating that these genes play identical functions in both plants.
Alkaloid metabolism
The key genes involved in the synthesis of nicotine and nornicotine alkaloids in Nicotiana leaves (Figure 6) are listed in Additional file 14 and the corresponding transcripts in root, leaf and flower are shown. The expression data obtained from the hybridization of specific Affymetrix probes (100% match with the targeted sequences) with leaf RNA isolated from N. sylvestris and N. tomentosiformis provided data similar to FPKM expression, except for four N. tomentosiformis genes - NtomQPT1, NtomBBL3, NtomNND1 and NtomNND2. However, these four genes were found to be expressed in the leaf of N. tomentosiformis plants subjected to RNA-seq analyses. The plants that were used for the RNA-seq analyses were fully mature compared with the young plantlets that were used for the Tobacco Exon Array hybridization, which may indicate that the four genes are more highly expressed in mature leaves than in the primary leaves, suggesting that these genes may possibly affect the alkaloid pathway. Similar to the Cd genes described above, this type of comparison confirms that the design of the Affymetrix exon probes is suitable for the analyses of gene expression in both N. sylvestris and N. tomentosiformis.
Figure 6
Key genes involved in the synthesis of nicotine and nornicotine alkaloids inNicotianaleaves. The berberine bridge enzyme-like protein converts nicotinic acid and N-methylpyrrolinium cation into nicotine, and nicotine N-deaminase converts it further to nornicotine. AO, L-aspartate oxidase; BBL, berberine bridge enzyme-like protein; MPO, methyleputrescine oxidase; NND, nicotine N-demethylase; PMT, putrecine N-methyltransferase; QPT, quinolinate phosphoribosyltransferase; QS, quinolinate synthase.
The higher accumulation of nicotine in N. sylvestris compared with N. tomentosiformis is because of the relatively large deletion that encompasses the NIC2 locus of N. tomentosiformis. Therefore, the low-nicotine phenotype is often associated with nic2 mutations [72]. In nic1nic2 mutant roots, BBL transcripts are strongly reduced [73], attesting that berberine bridge enzyme-like (BBL) genes are regulated by the NIC loci in the roots. Our data confirm that BBL1 and BBL3 are particularly expressed in the roots of both Nicotiana species. However, no large differences in transcript levels were found, possibly suggesting that BBL gene regulation is not as different as suspected between N. sylvestris and N. tomentosiformis, and the effect of the nic2 deletion is apparent somewhere else within the nicotine biosynthesis pathway. In this context, our data show that the expression of a large set of genes involved in nicotine biosynthesis, for example, L-aspartate oxidase (AO), quinolinate synthase (QS), quinolinate phosphoribosyltransferase (QPT), and putrecine N-methyltransferase (PMT), are strongly up-regulated in the roots of N. sylvestris compared with N. tomentosiformis; indeed, PMT expression is not detected in the roots of N. tomentosiformis. Four different PMT genes have been found in N. tabacum [74] and, based on sequence analogy, three of them [75] likely originate from N. sylvestris (Additional file 15). Surprisingly, the two copies of PMT that are present in N. tomentosiformis are similar to only one PMT gene in N. tabacum (NtPMT-2). This finding suggests that because of the lack of the three other PMT copies in N. tomentosiformis, the full pathway for nicotine synthesis is certainly different in N. tomentosiformis than in N. sylvestris, which has three PMT copies that are related to N. tabacum, NtPMT-1, -3 and -4 (Additional file 15).
The up-regulation of PMTs, AO and QS in N. sylvestris compared with N. tomentosiformis attests that the early steps in the pathway that lead to the synthesis of nicotinic acid are also particularly active in N. sylvestris and certainly play a major role in nicotine synthesis. Recent data reported by Shoji and Hashimoto [76] suggest that tobacco MYC2 regulates PMT-2 and QPT-2 by interacting with specific promoter regions. It is therefore tempting to speculate that regulation occurs differently via MYC2 in N. sylvestris and N. tomentosiformis. Conversely, because AO and QS are located in the plastids and are involved in NAD synthesis from aspartate via quinolinic acid [77], they are likely regulated via nuclear cross-talk that is possibly more active in N. sylvestris than in N. tomentosiformis (Additional file 14).
In species of the Nicotiana genus, the conversion of nicotine to nornicotine, which is the precursor of the tobacco nitrosamine N'-nitrosonornicotine, is mediated by nicotine N-demethylase enzymes (NND) encoded by the CYP82E subfamily of cytochrome P450 genes. Four genes from this gene family are reported to be distributed in the N. sylvestris and N. tomentosiformis genomes. CYP82E4 is the dominant factor in senescence-inducible nornicotine production, whereas CYP82E5v2 is involved in nicotine conversion in the green leaves; both of them are found in N. tomentosiformis, along with CYP82E3. In N. sylvestris, one such gene, CYP82E2, has been found [78]. Searches in both these Nicotiana genomes revealed that N. sylvestris has five related genes, and N. tomentosiformis has four. A comparison of the phylogenetic trees (Additional file 16) confirms that three of the N. tomentosiformis genes are related to the N. tabacumCYP82E3, CYP82E4 and CYP82E5 genes and that one of the N. sylvestris genes corresponds to N. tabacumCYP82E10 [79]. The data presented in Additional file 14 and Additional file 16 show that NtomNND-1 is evolutionarily close to one copy of CYP82E4and highly expressed in flowers, whereas its expression in leaves is not supported by Affymetrix data. To our knowledge, the high expression of a nicotine demethylase gene in flowers has not yet been described; the gene product possibly plays a role in protection against insects. Conversely, the NsylNND-1 that is evolutionary close to the N. tabacumCYP82E10 is highly expressed in roots, confirming the findings of an earlier study [79]. The high expression of the three N. tomentosiformis genes related to the N. tabacumCYP82E3, CYP82E4 and CYP82E5 genes suggests that N. tomentosiformis is globally a more active producer of nornicotine than N. sylvestris, which is the opposite of what was found for nicotine synthesis (see above).
Conclusions
Draft genomes of N. sylvestris and N. tomentosiformis were assembled from Illumina short reads; the assemblies cover 83.3% and 71.7% of the calculated genome sizes (2.68 Gb and 2.36 Gb), respectively. Both assemblies have an N50 size of about 80 kb. The repeat content was determined to be 72 to 75% with a higher proportion of retrotransposons and copia-like LTRs in N. tomentosiformis compared with N. sylvestris. The reported draft genomes offer good coverage of coding regions, as exemplified by the heavy-metal transport and alkaloid metabolism analyses. The examination of the terpenoid metabolism gene families is more challenging because their members are numerous and highly similar, and will require further investigations.
Tobacco SSR markers were mapped to both assemblies and a 65% concordance with PCR amplification data reported previously [13] was obtained. In addition, 5 to 7% of the markers that amplified in only one of the species could actually be mapped in both. Of the markers on the N. acuminata and N. tomentosiformis genetic maps, 74 to 78% could be mapped to the genome assemblies.
The COSII markers from these two genetic maps were also mapped to both assemblies. In this case, only 31 to 34% of them could be mapped onto the N. sylvestris and N. tomentosiformis assemblies, although when the same method was applied on the tomato genome, 84% of the markers present on the tomato genetic map could be mapped. This discrepancy could be due either to the still relatively high fragmentation of the Nicotiana genome assemblies, or to the COSII PCR primers not being suitable for the Nicotiana species.
The transcriptome assemblies revealed the expression of 44,000 to 53,000 transcripts in roots, leaves or flowers. Flowers had the most expressed transcripts, with about 3,500 expressed transcripts not detectable in roots or leaves. The merged species transcriptomes yielded 66,000 to 68,000 expressed transcripts, encoding 39,000 proteins. When these transcripts were clustered with genes from tomato and Arabidopsis, a core set of about 7,100 clusters, a Solanaceae-specific set of about 2,800 clusters, and a Nicotiana-specific set of about 3,600 clusters were identified.
Phenotypic differences observed between N. sylvestris and N. tomentosiformis could be explained by investigating the number of genes for specific protein families of the three metabolic pathways and their expressions in root, leaf and flower.
The SOL100 initiative aims to sequence a wide range of Solanaceae species to deepen our understanding of this plant family and improve breeding of its cultivars. The draft genomes of N. sylvestris and N. tomentosiformis represent a significant contribution to this effort. Both are the ancestral species of allotetraploid tobacco (N. tabacum) with a 4.5 Gb genome, which currently represents a formidable challenge due to its high complexity. The genomes of the ancestor species provide a significant advance towards the assembly of the N. tabacum genome and illustrate a general strategy for the genomes of other polyploidy species such as wheat and cotton. These new genomes will increase the value of the already existing Solanaceae resources by providing additional comparative information at the genome and transcriptome levels and will help improve our understanding of plant metabolism and evolution.
Materials and methods
Illumina sequencing
Young leaves, roots and flowers of N. sylvestris (USNGC TW136, PI555569) and N. tomentosiformis (USNGC TW142, PI555572) grown in a greenhouse were collected. DNA extraction was performed using Qiagen DNAeasy Plant Maxi Kit (Qiagen, Düsseldorf, Germany) from fresh leaves. RNA extraction was performed using the Qiagen RNAeasy Mini Kit (Qiagen).
Short insert 'paired-end' libraries were prepared using the Illumina TruSeq DNA Sample Preparation Kit version 2 according to the manufacturer's instructions, or with few modifications if prepared by Fasteris. For Fasteris, 2.1 mg of genomic DNA was broken using BioRuptor (Diagenode, Liège, Belgium); ends were repaired using Klenow and polynucleotide kinase, and then Fasteris-modified adapters were ligated to the inserts. After size selection on agarose gel, the libraries were amplified by ten PCR cycles, and then purified and quantified.
Long insert 'mate-pair' libraries were prepared using the Illumina Mate Pair Library Prep Kit version 2 according to the manufacturer's instructions, or using a Fasteris-developed protocol in which 10 mg of genomic DNA were broken into fragments of approximately 2 to 5 kb using Covaris (KBioSciences, Herts, UK) and purified on 0.7% agarose gel to recover fragments of 3 kb and 5 kb. After end repair, a Fasteris-designed spacer was ligated and the fragments were circularized. Non-circular fragments were eliminated and then the DNA was broken using Covaris to generate fragments of 400 bp, which were end repaired, ligated with Illumina adapters, purified on agarose gel and amplified by PCR for 12 cycles.
RNA-seq libraries were constructed using Illumina's TruSeq RNA Sample prep Kit protocol according to the manufacturer's instructions. All the libraries (short insert 'paired-end', long insert 'mate-pair', and RNA-seq) were sequenced on an Illumina HiSeq-2000 using version 3 chemistry and flow-cells with runs of 2 × 100 bases. Base calling and sample demultiplexing were performed using Illumina's HiSeq Control Software and the CASAVA pipeline. The data for the N. sylvestris and N. tomentosiformis RNA-seq triplicates have been uploaded to the EBI Sequence Read Archive under accession numbers ERP002501 and ERP002502, respectively.
Genome size estimation
We estimated the genome size of N. sylvestris and N. tomentosiformis using the 31-mer depth distribution of all the non-overlapping paired-end libraries, as described previously [36, 50–52]. Briefly, the genome size is obtained by dividing the total number of 31-mers considered to be error-free by their most frequent depth of coverage.
Genome assembly
The raw DNA reads from N. sylvestris and N. tomentosiformis were preprocessed by first trimming 3' bases with qualities lower than 30, and then discarding reads shorter than 50 bases or with less than 90% of the bases with qualities lower than 30. The paired-end libraries with insert sizes shorter than 200 bases were further preprocessed using FLASH [80] to merge the paired-end reads into extended single reads.
The paired and single reads from the paired-end libraries were then assembled into contigs using SOAPdenovo [81] with a k-mer of 63, and the paired reads from paired-end and mate-pair libraries were used for scaffolding by increasing library size. To improve scaffolding, mate-pair libraries from closely related Nicotiana species were also used. Gaps that resulted from the scaffolding were closed using GapCloser and all sequences shorter than 200 bases were discarded from the final assemblies.
Superscaffolding using the tobacco WGP™ physical map was possible because it is based on sequencing tags, and the origin of the WGP contigs have been annotated. Briefly, WGP tags of S or T origin were mapped to the N. sylvestris or N. tomentosiformis sequences, respectively. Superscaffolds were created when two or more sequences could be anchored and oriented unambiguously to a WGP contig. The N. sylvestris and N. tomentosiformis genome assemblies have been submitted to GenBank BioProjects PRJNA182500 and PRJNA182501, respectively. The N. sylvestris whole genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession ASAF00000000. The version described in this paper is version ASAF01000000. The N. tomentosiformis whole genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession ASAG00000000. The version described in this paper is version ASAG01000000. The raw sequencing data used for the assemblies of N. sylvestris and N. tomentosiformis genomes have been submitted to the EBI Sequence Read Archive under accession numbers ERP002501 and ERP002502.
Repeat content estimation
The repeat content of the N. sylvestris and N. tomentosiformis genome assemblies were estimated using RepeatMasker [82] with the eudicot repeat library available from the Sol Genomics Network, the TIGR Solanaceae repeat library, and RepeatScout [83] libraries created using sequences of at least 200 kb from the draft genome assemblies of N. sylvestris and N. tomentosiformis. Classification of the repeat types was done using the NCBI BLASTN [84–86] hits to known repeat elements.
Genetic markers
PCR primers for the SSR markers have been reported previously [13] and the COSII makers from Sol Genomics Network were mapped to the draft assembly genomes of N. sylvestris and N. tomentosiformis using LAST [87]. Only the primer pairs that could be mapped with at least 95% identity and that yielded a unique PCR product were retained.
Pathway gene identification and quantification
Genomic regions containing genes that potentially encode proteins from the selected pathways were identified by mapping homologous proteins from other species to the genome assemblies using BLAT [88] and manually curating the hits. Probes from the Tobacco Exon Array [49] were selected by mapping them to the identified genome regions using LAST [87] and retaining only perfect matches that could be mapped uniquely. Quantification of gene expression was obtained by summing the Cufflinks [89] FPKM values of the transcripts that overlapped the identified genome regions.
De novo transcriptome assembly
All the reads were preprocessed to clip the overrepresented sequences reported by FastQC [90]. After clipping, the 3' ends of the reads were quality trimmed with a quality threshold of 20 and artifacts were removed. Finally, reads of at least 50 nucleotides with at least 75% nucleotides of quality 20 or more were kept. The clipping, trimming and filtering were performed using the fastx toolkit [91]. Transcripts were assembled using the Trinity de novo assembly pipeline [92]; the peptide prediction program contained within this software suite was used to predict peptides from the assembled transcripts.
Transcriptome assembly was performed using the 'Tuxedo' suite of tools. Reads were mapped to the appropriate genome assembly using the Bowtie2/Tophat2 [93, 94] pipeline with the default parameters. Transcript generation was performed using the Cufflinks tools [89] and merged using Cuffmerge. A representative set of transcript sequences was generated using the 'gtf_to_fasta' component of Cufflinks.
Transcript and protein quality
The ORF finding utility included in the Trinity software package (version January 2012) was used to find ORFs in the inferred transcripts. Candidate peptide sequences were culled at a minimum length of 100 amino acids. The search for sequences homologous to the ORFs was performed using BLAST [84], with the UniProt Knowledgebase and the Swiss-Prot subset as reference databases. A reasonably stringent e-value cutoff of 1E-30 was used and only one hit was retained for each sequence. To determine which of the best hits were mutual, a reverse search (reference database against transcripts) was also performed using the same parameters.
Functional comparison to other species
Orthologous and paralogous genes between our sequences and those from other species were clustered using OrthoMCL [54, 55]. To ensure comparability, we used the same ORF finding software on the Arabidopsis (TAIR10 sequence) and tomato sequences (ITAG version 2.3) to derive peptide sequences and then used only sequences of 100 amino acids or longer. An all-against-all sequence search was performed using BLAST [84] (version 2.2.23+) with default parameters and the results of this search were used as the input to OrthoMCL, which was run using the default parameter set (percentMatchCutoff = 50; e-valueExponentCutoff = -5). The OrthoMCL protein group output files were further processed using in-house Python scripts, and visualized in R [95] as a Venn diagram using the CRAN package 'VennDiagram' [96].
Functional annotation
The EFICAz2.5 software [97–99] was used to predict EC numbers for the protein sequences predicted from the transcripts of the pooled tissue samples. The InterProScan software [100], version 4.8 was used to assign GO terms to the protein sequences.
Abbreviations
AO:
L-aspartate oxidase
BBL:
berberine bridge enzyme-like
CAX:
cation proton exchanger
COS:
conserved ortholog set
EC:
Enzyme Commission
EST:
expressed sequence tag
FPKM:
fragments per kilobase of transcript per million mapped reads
GO:
Gene Ontology
HMA:
heavy metal ATPase
LTR:
long terminal repeat
MRP:
multidrug resistance-associated protein
NND:
nicotine N-demethylase
NS:
nicotianamine synthetase
ORF:
open reading frame
PCS:
phytochelatin synthase
PMT:
putrecine N-methyltransferase
QPT:
quinolinate phosphoribosyltransferase
QS:
quinolinate synthase
SNP:
single nucleotide polymorphism
SSR:
simple sequence repeat
WGP:
Whole Genome Profiling.
Declarations
Acknowledgements
The authors thank FASTERIS SA, Geneva, Switzerland for part of the sequencing and PMI R&D High Performance Computing team for making the computational work possible. The research described in this article was financially supported by Philip Morris International. All authors are employees of Philip Morris International.
Authors’ Affiliations
(1)
Philip Morris International R&D, Philip Morris Products SA
References
Knapp S, Chase MW, Clarkson JJ: Nomenclatural changes and a new sectional classification in Nicotiana (Solanaceae). Taxon. 2004, 53: 73-82. 10.2307/4135490.View ArticleGoogle Scholar
Renny-Byfield S, Chester M, Kovarik A, Le Comber SC, Grandbastien MA, Deloger M, Nichols RA, Macas J, Novak P, Chase MW, Leitch AR: Next generation sequencing reveals genome downsizing in allotetraploid Nicotiana tabacum, predominantly through the elimination of paternally derived repetitive DNAs. Mol Biol Evol. 2011, 28: 2843-2854. 10.1093/molbev/msr112.View ArticlePubMedGoogle Scholar
Leitch IJ, Hanson L, Lim KY, Kovarik A, Chase MW, Clarkson JJ, Leitch AR: The ups and downs of genome size evolution in polyploid species of Nicotiana (Solanaceae). Ann Bot. 2008, 101: 805-814. 10.1093/aob/mcm326.View ArticlePubMedPubMed CentralGoogle Scholar
Ingle J, Timmis JN, Sinclair J: The relationship between satellite deoxyribonucleic acid, ribosomal ribonucleic acid gene redundancy, and genome size in plants. Plant Physiol. 1975, 55: 496-501. 10.1104/pp.55.3.496.View ArticlePubMedPubMed CentralGoogle Scholar
Narayan R: Nuclear DNA changes, genome differentiation and evolution in Nicotiana (Solanaceae). Plant Systematics Evol. 1987, 157: 161-180. 10.1007/BF00936195.View ArticleGoogle Scholar
Narayan R, Rees H: Nuclear DNA, heterochromatin and phylogeny of Nicotiana amphidiploids. Chromosoma. 1974, 47: 75-83. 10.1007/BF00326273.View ArticleGoogle Scholar
Sharma D, Firoozabady E, Ayres N, Galbraith D: Improvement of anther culture in Nicotiana: media, cultural conditions and flow cytometric determination of ploidy levels. Zeitschrift für Pflanzenphysiologie. 1983, 111: 441-451.View ArticleGoogle Scholar
Bindler G, van der Hoeven R, Gunduz I, Plieske J, Ganal M, Rossi L, Gadani F, Donini P: A microsatellite marker based linkage map of tobacco. Theor Appl Genet. 2007, 114: 341-349.View ArticlePubMedGoogle Scholar
Wu F, Mueller LA, Crouzillat D, Petiard V, Tanksley SD: Combining bioinformatics and phylogenetics to identify large sets of single-copy orthologous genes (COSII) for comparative, evolutionary and systematic studies: a test case in the euasterid plant clade. Genetics. 2006, 174: 1407-1420. 10.1534/genetics.106.062455.View ArticlePubMedPubMed CentralGoogle Scholar
Wu F, Eannetta NT, Xu Y, Plieske J, Ganal M, Pozzi C, Bakaher N, Tanksley SD: COSII genetic maps of two diploid Nicotiana species provide a detailed picture of synteny with tomato and insights into chromosome evolution in tetraploid N. tabacum. Theor Appl Genet. 2010, 120: 809-827. 10.1007/s00122-009-1206-z.View ArticlePubMedGoogle Scholar
Bindler G, Plieske J, Bakaher N, Gunduz I, Ivanov N, Van der Hoeven R, Ganal M, Donini P: A high density genetic map of tobacco (Nicotianatabacum L.) obtained from large scale microsatellite marker development. Theor Appl Genet. 2011, 123: 219-230. 10.1007/s00122-011-1578-8.View ArticlePubMedPubMed CentralGoogle Scholar
Tong Z, Yang Z, Chen X, Jiao F, Li X, Wu X, Gao Y, Xiao B, Wu W: Large-scale development of microsatellite markers in Nicotianatabacum and construction of a genetic map of flue-cured tobacco. Plant Breeding. 2012, 131: 674-680. 10.1111/j.1439-0523.2012.01984.x.View ArticleGoogle Scholar
Ennajdaoui H, Vachon G, Giacalone C, Besse I, Sallaud C, Herzog M, Tissier A: Trichome specific expression of the tobacco (Nicotianasylvestris) cembratrien-ol synthase genes is controlled by both activating and repressing cis-regions. Plant Mol Biol. 2010, 73: 673-685. 10.1007/s11103-010-9648-x.View ArticlePubMedGoogle Scholar
Sallaud C, Giacalone C, Töpfer R, Goepfert S, Bakaher N, Rösti S, Tissier A: Characterization of two genes for the biosynthesis of the labdane diterpene Z-abienol in tobacco (Nicotiana tabacum) glandular trichomes. Plant J. 2012, 72: 1-17. 10.1111/j.1365-313X.2012.05068.x.View ArticlePubMedGoogle Scholar
Maliga P, Svab Z: Engineering the plastid genome of Nicotiana sylvestris, a diploid model species for plastid genetics. Methods Mol Biol. 2011, 701: 37-50. 10.1007/978-1-61737-957-4_2.View ArticlePubMedGoogle Scholar
Thyssen G, Svab Z, Maliga P: Exceptional inheritance of plastids via pollen in Nicotiana sylvestris with no detectable paternal mitochondrial DNA in the progeny. Plant J. 2012, 72: 84-88. 10.1111/j.1365-313X.2012.05057.x.View ArticlePubMedGoogle Scholar
Pellny TK, Van Aken O, Dutilleul C, Wolff T, Groten K, Bor M, De Paepe R, Reyss A, Van Breusegem F, Noctor G: Mitochondrial respiratory pathways modulate nitrate sensing and nitrogen-dependent regulation of plant architecture in Nicotiana sylvestris. Plant J. 2008, 54: 976-992. 10.1111/j.1365-313X.2008.03472.x.View ArticlePubMedPubMed CentralGoogle Scholar
Priault P, Fresneau C, Noctor G, De Paepe R, Cornic G, Streb P: The mitochondrial CMSII mutation of Nicotiana sylvestris impairs adjustment of photosynthetic carbon assimilation to higher growth irradiance. J Exp Bot. 2006, 57: 2075-2085. 10.1093/jxb/erj161.View ArticlePubMedGoogle Scholar
Stel'makh O, Kravets E, Emets A, Blium IB: Analysis of reproductive development of mutant Nicotiana sylvestris plants resistant to isopropyl-N-phenylcarbamate]. Tsitol Genet. 2005, 39: 15-PubMedGoogle Scholar
Yemets A, Stelmakh O, Blume Y: Effects of the herbicide isopropyl-N-phenyl carbamate on microtubules and MTOCs in lines of Nicotiana sylvestris resistant and sensitive to its action. Cell Biol Int. 2008, 32: 623-629. 10.1016/j.cellbi.2008.01.012.View ArticlePubMedGoogle Scholar
Sekine KT, Tomita R, Takeuchi S, Atsumi G, Saitoh H, Mizumoto H, Kiba A, Yamaoka N, Nishiguchi M, Hikichi Y: Functional differentiation in the leucine-rich repeat domains of closely related plant virus-resistance proteins that recognize common Avr proteins. Mol Plant Microbe Interact. 2012, 25: 1219-1229. 10.1094/MPMI-11-11-0289.View ArticlePubMedGoogle Scholar
Chase MW, Knapp S, Cox AV, Clarkson JJ, Butsko Y, Joseph J, Savolainen V, Parokonny AS: Molecular systematics, GISH and the origin of hybrid taxa in Nicotiana (Solanaceae). Ann Bot. 2003, 92: 107-127. 10.1093/aob/mcg087.View ArticlePubMedPubMed CentralGoogle Scholar
Baldwin IT: Inducible nicotine production in native Nicotiana as an example of adaptive phenotypic plasticity. J Chem Ecol. 1999, 25: 3-30. 10.1023/A:1020880931488.View ArticleGoogle Scholar
Baldwin IT: Damage-induced alkaloids in tobacco: pot-bound plants are not inducible. J Chem Ecol. 1988, 14: 1113-1120. 10.1007/BF01019339.View ArticlePubMedGoogle Scholar
Eich E: Solanaceae and Convolvulaceae: Secondary Metabolites: Biosynthesis, Chemotaxonomy, Biological and Economic Significance (A Handbook). 2008, SpringerView ArticleGoogle Scholar
Smith C: Occurrence of L-nornicotine in Nicotiana sylvestris. J Economic Entomol. 1937, 30: 724-727.View ArticleGoogle Scholar
Sisson V, Severson R: Alkaloid composition of the Nicotiana species. Beiträge zur Tabakforschung International. 1990, 14: 327-339.Google Scholar
Leffingwell J: Basic chemical constituents of tobacco leaf and differences among tobacco types. Tobacco: Production, Chemistry and Technology. 1999, Oxford, UK: Blackwell Sciences, 265-284.Google Scholar
Heemann V, Brümmer U, Paulsen C, Seehofer F: Composition of the leaf surface gum of some Nicotiana species and Nicotiana tabacum cultivars. Phytochemistry. 1983, 22: 133-135. 10.1016/S0031-9422(00)80073-4.View ArticleGoogle Scholar
Wagner GJ: Accumulation of cadmium in crop plants and its consequences to human health. Adv Agronomy. 1993, 51: 173-212.View ArticleGoogle Scholar
Rosén K, Eriksson J, Vinichuk M: Uptake and translocation of 109Cd and stable Cd within tobacco plants (Nicotiana sylvestris). J Environ Radioact. 2012, 113: 16-20.View ArticlePubMedGoogle Scholar
Xu X, Pan S, Cheng S, Zhang B, Mu D, Ni P, Zhang G, Yang S, Li R, Wang J: Genome sequence and analysis of the tuber crop potato. Nature. 2011, 475: 189-10.1038/nature10158.View ArticlePubMedGoogle Scholar
Sato S, Tabata S, Hirakawa H, Asamizu E, Shirasawa K, Isobe S, Kaneko T, Nakamura Y, Shibata D, Egholm M: The tomato genome sequence provides insights into fleshy fruit evolution. Nature. 2012, 485: 635-641. 10.1038/nature11119.View ArticleGoogle Scholar
Bombarely A, Rosli HG, Vrebalov J, Moffett P, Mueller L, Martin G: A draft genome sequence of Nicotiana benthamiana to enhance molecular plant-microbe biology research. Mol Plant Microbe Interact. 2012, 25: 1523-1530. 10.1094/MPMI-06-12-0148-TA.View ArticlePubMedGoogle Scholar
Knapp S, Bohs L, Nee M, Spooner DM: Solanaceae - a model for linking genomics with biodiversity. Comp Funct Genomics. 2004, 5: 285-291. 10.1002/cfg.393.View ArticlePubMedPubMed CentralGoogle Scholar
Zimmerman JL, Goldberg RB: DNA sequence organization in the genome of Nicotiana tabacum. Chromosoma. 1977, 59: 227-252. 10.1007/BF00292780.View ArticleGoogle Scholar
Park M, Jo SH, Kwon JK, Park J, Ahn JH, Kim S, Lee YH, Yang TJ, Hur CG, Kang BC: 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.View ArticlePubMedPubMed CentralGoogle Scholar
Melayah D, Lim KY, Bonnivard E, Chalhoub B, Dorlhac de Borne F, Mhiri C, Leitch AR, Grandbastien MA: Distribution of the Tnt1 retrotransposon family in the amphidiploid tobacco (Nicotiana tabacum) and its wild Nicotiana relatives. Biol J Linn Soci. 2004, 82: 639-649. 10.1111/j.1095-8312.2004.00348.x.View ArticleGoogle Scholar
Gazdova B, Široký J, Fajkus J, Brzobohatý B, Kenton A, Parokonny A, Heslop-Harrison JS, Palme K, Bezděk M: Characterization of a new family of tobacco highly repetitive DNA, GRS, specific for the Nicotiana tomentosiformis genomic component. Chromosome Res. 1995, 3: 245-254. 10.1007/BF00713050.View ArticlePubMedGoogle Scholar
Petit M, Lim KY, Julio E, Poncet C, Dorlhac de Borne F, Kovarik A, Leitch AR, Grandbastien MA, Mhiri C: Differential impact of retrotransposon populations on the genome of allotetraploid tobacco (Nicotiana tabacum). Mol Genet Genomics. 2007, 278: 1-15. 10.1007/s00438-007-0226-0.View ArticlePubMedGoogle Scholar
Renny-Byfield S, Kovařík A, Chester M, Nichols RA, Macas J, Novák P, Leitch AR: Independent, rapid and targeted loss of highly repetitive DNA in natural and synthetic allopolyploids of Nicotianatabacum. PloS One. 2012, 7: e36963-10.1371/journal.pone.0036963.View ArticlePubMedPubMed CentralGoogle Scholar
Gregor W, Mette MF, Staginnus C, Matzke MA, Matzke AJM: A distinct endogenous pararetrovirus family in Nicotiana tomentosiformis, a diploid progenitor of polyploid tobacco. Plant Physiol. 2004, 134: 1191-1199. 10.1104/pp.103.031112.View ArticlePubMedPubMed CentralGoogle Scholar
Horáková M, Fajkus J: TAS49 a dispersed repetitive sequence isolated from subtelomeric regions of Nicotiana tomentosiformis chromosomes. Genome. 2000, 43: 273-284.PubMedGoogle Scholar
Bombarely A, Edwards KD, Sanchez-Tamburrino J, Mueller LA: Deciphering the complex leaf transcriptome of the allotetraploid species Nicotiana tabacum: A phylogenomic perspective. BMC Genomics. 2012, 13: 406-10.1186/1471-2164-13-406.View ArticlePubMedPubMed CentralGoogle Scholar
Martin F, Bovet L, Cordier A, Stanke M, Gunduz I, Peitsch MC, Ivanov NV: Design of a Tobacco Exon Array with application to investigate the differential cadmium accumulation property in two tobacco varieties. BMC Genomics. 2012, 13: 674-10.1186/1471-2164-13-674.View ArticlePubMedPubMed CentralGoogle Scholar
Huang S, Li R, Zhang Z, Li L, Gu X, Fan W, Lucas WJ, Wang X, Xie B, Ni P: The genome of the cucumber, Cucumis sativus L. Nat Genet. 2009, 41: 1275-1281. 10.1038/ng.475.View ArticlePubMedGoogle Scholar
Li R, Fan W, Tian G, Zhu H, He L, Cai J, Huang Q, Cai Q, Li B, Bai Y: The sequence and de novo assembly of the giant panda genome. Nature. 2010, 463: 311-10.1038/nature08696.View ArticlePubMedGoogle Scholar
Varshney RK, Chen W, Li Y, Bharti AK, Saxena RK, Schlueter JA, Donoghue MT, Azam S, Fan G, Whaley AM, Farmer AD, Sheridan J, Iwata A, Tuteja R, Penmetsa RV, Wu W, Upadhyaya HD, Yang SP, Shah T, Saxena KB, Michael T, McCombie WR, Yang B, Zhang G, Yang H, Wang J, Spillane C, Cook DR, May GD, Xu X, Jackson SA: Draft genome sequence of pigeonpea (Cajanus cajan), an orphan legume crop of resource-poor farmers. Nat Biotechnol. 2011, 30: 83-89. 10.1038/nbt.2022.View ArticlePubMedGoogle Scholar
Sierro N, Van Oeveren J, van Eijk MJ, Martin F, Stormo KE, Peitsch MC, Ivanov NV: Whole genome profiling physical map and ancestral annotation of tobacco Hicks broadleaf. Plant J. 2013, [http://dx.doi.org/10.1111/tpj.12247]Google Scholar
Li L, Stoeckert CJ, Roos DS: OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003, 13: 2178-2189. 10.1101/gr.1224503.View ArticlePubMedPubMed CentralGoogle Scholar
Falcon S, Gentleman R: Using GOstats to test gene lists for GO term association. Bioinformatics. 2007, 23: 257-258. 10.1093/bioinformatics/btl567.View ArticlePubMedGoogle Scholar
Guerinot ML: The ZIP family of metal transporters. Biochim Biophys Acta. 2000, 1465: 190-198. 10.1016/S0005-2736(00)00138-3.View ArticlePubMedGoogle Scholar
Varotto C, Maiwald D, Pesaresi P, Jahns P, Salamini F, Leister D: The metal ion transporter IRT1 is necessary for iron homeostasis and efficient photosynthesis in Arabidopsis thaliana. Plant J. 2002, 31: 589-599. 10.1046/j.1365-313X.2002.01381.x.View ArticlePubMedGoogle Scholar
Kim SA, Guerinot ML: Mining iron: iron uptake and transport in plants. FEBS Lett. 2007, 581: 2273-2280. 10.1016/j.febslet.2007.04.043.View ArticlePubMedGoogle Scholar
Lin YF, Liang HM, Yang SY, Boch A, Clemens S, Chen CC, Wu JF, Huang JL, Yeh KC: Arabidopsis IRT3 is a zinc-regulated and plasma membrane localized zinc/iron transporter. New Phytol. 2009, 182: 392-404. 10.1111/j.1469-8137.2009.02766.x.View ArticlePubMedGoogle Scholar
Gainza-Cortés F, Pérez-Dïaz R, Pérez-Castro R, Tapia J, Casaretto JA, González S, Peña-Cortés H, Ruiz-Lara S, González E: Characterization of a putative grapevine Zn transporter, VvZIP3, suggests its involvement in early reproductive development in Vitis vinifera L. BMC Plant Biol. 2012, 12: 111-10.1186/1471-2229-12-111.View ArticlePubMedPubMed CentralGoogle Scholar
Takahashi R, Bashir K, Ishimaru Y, Nishizawa NK, Nakanishi H: The role of heavy-metal ATPases, HMAs, in zinc and cadmium transport in rice. Plant Signal Behav. 2012, 7: 0-1.View ArticleGoogle Scholar
Gong JM, Lee DA, Schroeder JI: Long-distance root-to-shoot transport of phytochelatins and cadmium in Arabidopsis. Proc Natl Acad Sci USA. 2003, 100: 10118-10123. 10.1073/pnas.1734072100.View ArticlePubMedPubMed CentralGoogle Scholar
Deinlein U, Weber M, Schmidt H, Rensch S, Trampczynska A, Hansen TH, Husted S, Schjoerring JK, Talke IN, Krämer U: Elevated nicotianamine levels in Arabidopsis halleri roots play a key role in zinc hyperaccumulation. Plant Cell Online. 2012, 24: 708-723. 10.1105/tpc.111.095000.View ArticleGoogle Scholar
Kim DY, Bovet L, Maeshima M, Martinoia E, Lee Y: The ABC transporter AtPDR8 is a cadmium extrusion pump conferring heavy metal resistance. Plant J. 2007, 50: 207-218. 10.1111/j.1365-313X.2007.03044.x.View ArticlePubMedGoogle Scholar
Kim DY, Bovet L, Kushnir S, Noh EW, Martinoia E, Lee Y: AtATM3 is involved in heavy metal resistance in Arabidopsis. Plant Physiol. 2006, 140: 922-932. 10.1104/pp.105.074146.View ArticlePubMedPubMed CentralGoogle Scholar
Bovet L, Feller U, Martinoia E: Possible involvement of plant ABC transporters in cadmium detoxification: a cDNA sub-microarray approach. Environ Int. 2005, 31: 263-267. 10.1016/j.envint.2004.10.011.View ArticlePubMedGoogle Scholar
Gaillard S, Jacquet H, Vavasseur A, Leonhardt N, Forestier C: AtMRP6/AtABCC6, an ATP-Binding Cassette transporter gene expressed during early steps of seedling development and up-regulated by cadmium in Arabidopsis thaliana. BMC Plant Biol. 2008, 8: 22-10.1186/1471-2229-8-22.View ArticlePubMedPubMed CentralGoogle Scholar
Bovet L: Heavy Metal Reduction in Planta. 2012, WO Patent WO/2012/028,309Google Scholar
Korenkov V, King B, Hirschi K, Wagner GJ: Root-selective expression of AtCAX4 and AtCAX2 results in reduced lamina cadmium in field-grown Nicotiana tabacum L. Plant Biotechnol J. 2009, 7: 219-226. 10.1111/j.1467-7652.2008.00390.x.View ArticlePubMedGoogle Scholar
Kajikawa M, Shoji T, Kato A, Hashimoto T: Vacuole-localized berberine bridge enzyme-like proteins are required for a late step of nicotine biosynthesis in tobacco. Plant Physiol. 2011, 155: 2010-2022. 10.1104/pp.110.170878.View ArticlePubMedPubMed CentralGoogle Scholar
Biastoff S, Brandt W, Dräger B: Putrescine N-methyltransferase - The start for alkaloids. Phytochemistry. 2009, 70: 1708-1718. 10.1016/j.phytochem.2009.06.012.View ArticlePubMedGoogle Scholar
Shoji T, Yamada Y, Hashimoto T: Jasmonate induction of putrescine N-methyltransferase genes in the root of Nicotiana sylvestris. Plant Cell Physiol. 2000, 41: 831-839. 10.1093/pcp/pcd001.View ArticlePubMedGoogle Scholar
Shoji T, Hashimoto T: Tobacco MYC2 regulates jasmonate-inducible nicotine biosynthesis genes directly and by way of the NIC2-locus ERF genes. Plant Cell Physiol. 2011, 52: 1117-1130. 10.1093/pcp/pcr063.View ArticlePubMedGoogle Scholar
Katoh A, Uenohara K, Akita M, Hashimoto T: Early steps in the biosynthesis of NAD in Arabidopsis start with aspartate and occur in the plastid. Plant Physiol. 2006, 141: 851-857. 10.1104/pp.106.081091.View ArticlePubMedPubMed CentralGoogle Scholar
Gavilano LB, Siminszky B: Isolation and characterization of the cytochrome P450 gene CYP82E5v2 that mediates nicotine to nornicotine conversion in the green leaves of tobacco. Plant Cell Physiol. 2007, 48: 1567-1574. 10.1093/pcp/pcm128.View ArticlePubMedGoogle Scholar
Lewis RS, Bowen SW, Keogh MR, Dewey RE: Three nicotine demethylase genes mediate nornicotine biosynthesis in Nicotiana tabacum L.: Functional characterization of the CYP82E10 gene. Phytochemistry. 2010, 71: 1988-1998. 10.1016/j.phytochem.2010.09.011.View ArticlePubMedGoogle Scholar
Magoč T, Salzberg SL: FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics. 2011, 27: 2957-2963. 10.1093/bioinformatics/btr507.View ArticlePubMedPubMed CentralGoogle Scholar
Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, Li Y, Li S, Shan G, Kristiansen K: De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010, 20: 265-272. 10.1101/gr.097261.109.View ArticlePubMedPubMed CentralGoogle Scholar
Price AL, Jones NC, Pevzner PA: De novo identification of repeat families in large genomes. Bioinformatics. 2005, 21: i351-i358. 10.1093/bioinformatics/bti1018.View ArticlePubMedGoogle Scholar
Roberts A, Pimentel H, Trapnell C, Pachter L: Identification of novel transcripts in annotated genomes using RNA-Seq. Bioinformatics. 2011, 27: 2325-2329. 10.1093/bioinformatics/btr355.View ArticlePubMedGoogle Scholar
Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, Adiconis X, Fan L, Raychowdhury R, Zeng Q, Chen Z, Mauceli E, Hacohen N, Gnirke A, Rhind N, di Palma F, Birren BW, Nusbaum C, Lindblad-Toh K, Friedman N, Regev A: Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011, 29: 644-652. 10.1038/nbt.1883.View ArticlePubMedPubMed CentralGoogle Scholar
Team RDC: R: A language and environment for statistical computing. 2008, Foundation Statistical ComputingGoogle Scholar
Chen H, Boutros PC: VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R. BMC Bioinformatics. 2011, 12: 35-10.1186/1471-2105-12-35.View ArticlePubMedPubMed CentralGoogle Scholar
Kumar N, Skolnick J: EFICAz2. 5: Application of a high-precision enzyme function predictor to 396 proteomes. Bioinformatics. 2012, 28: 2687-2688. 10.1093/bioinformatics/bts510.View ArticlePubMedPubMed CentralGoogle Scholar
Arakaki AK, Huang Y, Skolnick J: EFICAz2: enzyme function inference by a combined approach enhanced by machine learning. BMC Bioinformatics. 2009, 10: 107-10.1186/1471-2105-10-107.View ArticlePubMedPubMed CentralGoogle Scholar
Tian W, Arakaki AK, Skolnick J: EFICAz: a comprehensive approach for accurate genome-scale enzyme function inference. Nucleic Acids Res. 2004, 32: 6226-6239. 10.1093/nar/gkh956.View ArticlePubMedPubMed CentralGoogle Scholar
Zdobnov EM, Apweiler R: InterProScan - an integration platform for the signature-recognition methods in InterPro. Bioinformatics. 2001, 17: 847-848. 10.1093/bioinformatics/17.9.847.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
