De novo sequencing and characterization of Picrorhiza kurrooa transcriptome at two temperatures showed major transcriptome adjustments
- Parul Gahlan†1,
- Heikham Russiachand Singh†2,
- Ravi Shankar2Email author,
- Niharika Sharma1,
- Anita Kumari1,
- Vandna Chawla2,
- Paramvir Singh Ahuja1 and
- Sanjay Kumar1Email author
© Gahlan et al; licensee BioMed Central Ltd. 2012
Received: 22 September 2011
Accepted: 31 March 2012
Published: 31 March 2012
Picrorhiza kurrooa Royle ex Benth. is an endangered plant species of medicinal importance. The medicinal property is attributed to monoterpenoids picroside I and II, which are modulated by temperature. The transcriptome information of this species is limited with the availability of few hundreds of expressed sequence tags (ESTs) in the public databases. In order to gain insight into temperature mediated molecular changes, high throughput de novo transcriptome sequencing and analyses were carried out at 15°C and 25°C, the temperatures known to modulate picrosides content.
Using paired-end (PE) Illumina sequencing technology, a total of 20,593,412 and 44,229,272 PE reads were obtained after quality filtering for 15°C and 25°C, respectively. Available (e.g., De-Bruijn/Eulerian graph) and in-house developed bioinformatics tools were used for assembly and annotation of transcriptome. A total of 74,336 assembled transcript sequences were obtained, with an average coverage of 76.6 and average length of 439.5. Guanine-cytosine (GC) content was observed to be 44.6%, while the transcriptome exhibited abundance of trinucleotide simple sequence repeat (SSR; 45.63%) markers.
Large scale expression profiling through "read per exon kilobase per million (RPKM)", showed changes in several biological processes and metabolic pathways including cytochrome P450s (CYPs), UDP-glycosyltransferases (UGTs) and those associated with picrosides biosynthesis. RPKM data were validated by reverse transcriptase-polymerase chain reaction using a set of 19 genes, wherein 11 genes behaved in accordance with the two expression methods.
Study generated transcriptome of P. kurrooa at two different temperatures. Large scale expression profiling through RPKM showed major transcriptome changes in response to temperature reflecting alterations in major biological processes and metabolic pathways, and provided insight of GC content and SSR markers. Analysis also identified putative CYPs and UGTs that could help in discovering the hitherto unknown genes associated with picrosides biosynthesis.
Picrorhiza kurrooa Royle ex Benth. is a medicinally important endangered plant species of family Scrophulariaceae. The species is distributed between 3,000-5,000 m above mean sea level in the Himalayan region . P. kurrooa is widely used in traditional as well as modern system of medicine for the treatment of liver disorders, fever, asthma and jaundice [2, 3]. Indiscriminate and extensive harvesting and lack of organized cultivation has threatened the status of this plant in nature and is listed as "endangered species" by International Union for Conservation of Nature and Natural Resources . Due to narrow distribution range, small population size and high use, the species appears among the 37 identified as top priority species for conservation and cultivation in western Himalaya.
The biological activity of P. kurrooa is attributed to the presence of iridoid glycosides mainly picroside I and picroside II. Studies have shown that temperature plays an important role in the biosynthesis and accumulation of picrosides . A temperature of 15°C favored picrosides accumulation as compared to 25°C and this was in agreement with the expression of 1-deoxy-D-xylulose-5-phosphate synthase (DXS) and 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGR), the genes associated with picrosides biosynthesis. However, the progress in unraveling the molecular response of P. kurrooa at these temperatures has been impeded by the dearth of transcriptomic resources. Transcriptome sequencing is an efficient way to understand global molecular response by the plant in response to a cue . Expressed sequence tags (ESTs) played a significant role in accelerating gene discovery, expression analysis, improving genome annotation, identifying splice variants, and identification of molecular markers [7–9]. Transcriptome sequencing through next generation sequencing technology provides extensive data in much shorter time period with enormous depth and coverage to facilitate understanding of major change in the metabolic processes as well as contribute to comparative transcriptomics, evolutionary genomics and gene discovery [10–15]. Illumina genome analyzer based sequencing technology (Illumina, USA) yields huge amount of short reads with high coverage. Assembling such short reads is a challenging task, more so in the absence of reference sequences. A few bioinformatics tools have been developed for de novo assembly using short-read sequence data [16, 17], which vary in their success and application, and depends upon data specific strategies.
The present study describes the first global analysis of P. kurrooa transcriptome under two temperature regimes, which would serve as a blueprint of gene expression profile. The work reports a strategy for de novo assembly of transcriptome using short-read sequence data generated by Illumina RNA-Seq method. Read per exon kilobase per million (RPKM) based comparative expression profiling study was done to systematically characterize the mRNAs at two temperatures and to identify the differentially regulated genes including those involved in picrosides biosynthesis. Data on in silico gene expression was validated by reverse transcriptase-polymerase chain reaction (RT-PCR) as well using a set of 19 genes.
Results and Discussion
Transcriptome represents the expressed portion of the genome and offers an overall view of the transcribed genes. It is a powerful tool in gene discovery and in understanding the biochemical pathways involved in physiological responses. Various techniques such as microarray, serial analysis of gene expression and massively parallel signature sequencing emerged for high throughput gene expression profiling in the past and to allow for simultaneous interrogation of gene expression on a genome-wide scale . However, these techniques are time consuming and become expensive, particularly for the analysis at global level. Also, biases are introduced by the inevitable cloning step .
With the advent of next generation sequencing technology, transcriptome analysis takes lesser time, cost and labour, and at the same time provides major sequence coverage and depth . The technology has been used with success for the analysis of transcriptomes of several plant species including Cajanus cajan, Arabidopsis thaliana[21, 22], Medicago truncatula, Zea mays, Hordeum vulgare, Lycopersicum esculentum, Camellia sinenis, and Cicer arietinum.
The present work was carried out on de novo transcriptome sequencing of P. kurrooa, de novo assembly of short reads, annotation of assembled sequences at 15°C and 25°C and validation of RPKM based expression analysis by RT-PCR using selected genes. P. kurrooa is a medicinally important and endangered plant species. Medicinal properties are attributed to the monoterpenoids, picroside I and picroside II, which are associated with hepatoprotective activity as one of the major activities .
Reads generation and de novo sequence assembly
The de novo assembly of short reads without a reference genome still remains a challenge in spite of the development of many bioinformatics tools for data assembly and analysis [17, 29]. Paired-end (PE) run of 36 cycles, for each of the leaf tissues collected from plants exposed to 15°C and 25°C, was performed on Illumina genome analyzer IIx platform (Illumina, USA). Bcl converter was used to produce the reads in qseq format of the PE run of genome analyzer. It contains reads, their coordinates, tile number and quality encoding. Since 3' ends of reads are prone to sequencing error, for every 36 bp read, only 33 bases (excluding the 3 bases at 3' end) were considered for further use. A total of 27,562,496 and 49,274,224 PE reads were generated at 15°C and 25°C, respectively. After performing quality filtering, a total of 20,593,412 and 44,229,272 PE reads were obtained for 15°C and 25°C, respectively. In total 64,822,684 PE reads were obtained.
Effect of k-mer size on assembling performance of transcriptome
Average length (bp)
Per cent transcripts above 1000 bp
Summary of transcriptome data generated on Illumina genome analyzer IIx for leaf tissue of P. kurrooa.
Total number of paired-end reads
Number of reads obtained after quality filtering
Number of assembled transcripts
Average length of transcripts (in bp)
Average coverage (%)
Homology search and sequence clustering
Set of assembled sequences contained several sequences sharing similarity, causing over-representation of data for total transcript sequence measurement. Such redundancy and over-representation can be reduced by finding similar sequences either through merging them or by using a single representative sequence instead. This was done by applying sequence similarity based clustering. After performing hierarchical clustering with TIGR Gene Indices clustering tools (TGICL) using Contig Assembly Program (CAP3) and Cluster database at high identity with tolerance (CD-HIT), with minimum 90% similarity cut off, the number of unique assembled transcripts reduced from 74,336 to 72,220.
Analysis of sequences, obtained after clustering, was done for homology search against protein sequences at non-redundant (NR) databases at NCBI by BLASTX with cut off E-value of 10-5. For pooled read assembled transcript sequences, significant BLAST hits were found for a total of 42,598 sequences while no hit was found for 29,622 sequences.
Another clustering step was carried out for sequences which returned significant BLAST hits. Sequences with no apparent significant identity among themselves might belong to the different parts of the same gene or may represent the isoforms. Counting them as separate transcripts would only inflate the number of unique genes. Therefore, all those transcripts were searched that exhibited significant hits and shared the best hits to the same reference sequence. A set of local scripts was written to scan for all those assembled transcript sequences that returned a common best hit and common reference gene but differed in their location. All such transcripts were clustered together and assumed as the members of associated reference sequence/gene represented. This step reduced the total number of transcripts with significant BLAST hits, from 42,598 to 28,403. Therefore, the number of actual unique genes is expected to be much lower than the total transcript sequences coming out of any de novo assembling tool. Such clustering approach was applied in order to get the correct number of unique genes represented by the assembled transcripts sequences, which could be over-represented otherwise. A complete detail of grouped sequences has been made available in Additional file 3. Related materials and associated annotations for sequences representing the group sequences as the best one is available at the URL: http://scbb.ihbt.res.in/Picro_information. Remaining 29,622 transcript sequences, with no significant homologous reference sequence, too could display the above mentioned clustering property and their total number might go lower than the observed. However, in this part of the study, ORFs were derived in six frames of these unknown sequences and looked for possible functional domains across the conserved domain databases. Interestingly, for 1,225 sequences, a few significant conserved domains were identified. Some of the highly represented domains were Fibronectin attachment protein (FAP), large tegument protein, extensin-like, formin homology region 1, TT-viral orf1, cysteine-rich transmembrane module stress tolerance and fibrillarin (Additional file 4). These hitherto unknown sequences might render the function characteristic to the domain.
Validation of assembled sequences against the ESTs of P. kurrooa
The assembled sequences obtained from pooled reads were validated by sequence based alignments against ESTs of P. kurrooa submitted at NCBI dbEST by our group. For 500 submitted ESTs (Additional file 5; this has accession numbers of the submitted ESTs), BLASTN analysis against the assembled transcripts was performed with an E-value threshold of 10-05. The sequences were analyzed for mis-assemblies and manually checked for all alignment conditions. Besides this, manual assessment of alignment for all transcripts with their BLASTX hits against protein NR databases at NCBI was also performed. Significant hits were observed for 417 sequences (83.4%), while no hit could be obtained for 83 ESTs from the assembled transcript set. Also, most of the assembled transcript sequences were found to be aligned correctly and in continuous form, with average identity of 96.35%, suggesting good assembly quality. The unmappable unigenes in P. kurrooa might include fusion transcripts, relatively short and low quality singletons, UTR sequences far from the translation start or stop sites (> 1,000 bp), and those having incomplete coverage by the genome. It has been reported that even in A. thaliana around 13% of the ESTs could not be aligned to the predicted genes  and in human only 64% of the reads could be mapped to the RefSeq database of well annotated human genes . Detailed information regarding this part of analysis is mentioned at URL http://scbb.ihbt.res.in/Picro_information.
Utilization of transcriptome data for analysis of guanine-cytosine (GC) content and identification of simple sequence repeats (SSRs) markers
Next generation sequencing offered an opportunity for the analysis of GC content among unigenes and expanded the scope for molecular markers such as SSRs. GC content gives important indication about the genes and genomic composition including evolution, gene structure (intron size and number), gene regulation and is an indicator of stability of DNA . Average GC content of P. kurrooa transcripts was 44.6% (Additional file 6), which is in range of GC levels of coding sequences in dicots (44-47%) .
SSRs or microsatellites markers have diagnostic and functional significance, and have been usually associated with functional and phenotypic variations. SSRs are multi-allelic in nature, reproducible, highly abundant, cover the genome extensively and exhibit co-dominant inheritance. Transcriptome SSR markers exhibit high interspecific transferability . Due to the limitation of genomic data available, EST databases have been increasingly screened for development of genic SSRs [37–41]. P. kurrooa is a cross pollinated species and hence the seed raised population will have variability. Variability in vegetative growth as well as for picrosides content of wild populations of P. kurrooa has also been reported . Also, considerable variation exists in picrosides content for plants collected from different locations . The identification of SSRs in P. kurrooa will help in distinguishing closely related individuals and will also provide useful criteria for enriching and analyzing variation in the gene pool of the plant.
Assembled transcript sequences of P. kurrooa were analyzed for these SSRs (Additional file 7). A total of 1,562 SSRs were identified in the assembled transcripts. The trinucleotide SSRs have been observed to be the most prevalent group of markers (45.63%) with highest occurrence of GAA, TGG, CCA, AGA, and TCA repeats followed by mononucleotide (35.25%) and dinucleotide (21.29%) SSRs. Most prevalent mononucleotide was poly-A while highest prevalent dinucleotide SSRs were poly-AG and poly-TC. The observed prevalence of poly-A could be due to the presence of poly-A tails of RNA sequences. Only a small fraction of tetra and penta SSRs were identified (Additional file 7). In general, trinucleotide SSRs are the most common ones as compared to dinucleotides or tetranucleotides [40, 41].
Functional annotation and classification of P. kurrooa transcriptome
Transcriptome analysis suggests modulation of major plant processes at two temperatures
Concomitant modulation of several plant processes suggests involvement of transcription factors (TFs) for coordinated regulation of gene expression. TFs are sequence specific DNA-binding proteins that interact with the promoter regions of target genes and modulate gene expression. These proteins regulate gene transcription depending upon tissue type and in response to internal signals, for example plant hormones, and to external signals such as temperature, UV light, pathogen attack, and drought. In P. kurrooa, 6,305 transcript sequences exhibited homology with TF families, which were reduced to 2,500 after dissimilar sequence clustering (Additional file 10). The most abundant TF families observed were for C3H, PHD, MADS, bHLH and MYB-related family (Additional file 11). Of the 2,500 transcription factors, 5.36% exhibited 2-fold or higher abundance enrichment at 15°C (Additional file 12). The most abundant TFs in this group were MYB-related, FAR1, FHA, HB, bHLH, Orphans, C3H, C2H2, MADS, G2-like, NAC, SNF2 and WRKY. Of the total TFs, 16.9% exhibited abundance increment two fold or above at 25°C and belonged to C3H, MADS, bHLH, PHD and FAR1 family.
The above mentioned TFs have been associated with varied processes. For example, members of C3H family are involved in embryogenesis , whereas PHD proteins are found in nucleus and regulate chromatin-mediated transcription . Most members of MADS family TFs are involved in the regulation of flower-related physiological and developmental processes , whereas members of bHLH are involved in controlling cell proliferation and in the development of specific cell lineages . FAR1, yet another family of TFs, is involved in phytochrome signaling .
It was interesting to note that global gene expression analysis exhibited modulation of processes which were responsive to heat, responsive to biotic stimulus, lipid catabolic process and glycogen biosynthetic process (Figure 4) at 25°C as compared to 15°C. Members of TFs families such as bHLH, WRKY, MYB, AP2/EREBP [54–57] that are known to regulate the above processes, also exhibited modulation (Additional file 12) in accordance with the said transcripts, suggesting their role in regulating the mentioned processes. P. kurrooa is a plant of high altitude temperate region which does not tolerate a continuous temperature greater than 20°C for a longer period of time . A systematic analysis of these transcription factors would open door for imparting tolerance to P. kurrooa at high temperature (25°C). It would also be worthwhile to study, how such a temperature mediated transcriptomic adjustment affects picrosides biosynthesis.
Pathways associated with picrosides biosynthesis exhibit temperature dependent modulation
Iridoid moiety is derived from geranyl pyrophosphate (GPP) (Figure 7). GPP is synthesized by sequential head to tail addition of isopentenyl pyrophosphate (IPP) and its allelic isomer dimethylallyl pyrophosphate (DMAPP) . Cytosolic MVA pathway and the plastid localized MEP pathway synthesize IPP and DMAPP [60–64], with cross talks between these two pathways [65, 66]. Thus MVA, MEP and PP are regarded as central pathways for the synthesis of picrosides. MVA pathway starts from the condensation of acetyl-CoA [67, 68], whereas MEP pathway needs pyruvate and glyceraldehyde 3-phosphate [69, 70]. Biosynthesis of picrosides involves synthesis of iridoid moiety from GPP through series of oxidation and cyclization steps followed by the condensation of glucose moiety and cinnamate/vanillate with iridoid unit (Figure 7).
Analysis of MVA, MEP and PP pathways have general implications as well. These are involved in the biosynthesis of large number of secondary metabolites including those having commercial implications. These compounds include taxol [71, 72], artemisinin , β-carotene , α-tocopherol , vincristine, vinblastine and coumarins . These pathways play important roles in growth and development including secondary metabolism, and hence identification of major regulatory steps would be key to modulate plant performance and secondary metabolism, if need be.
RPKM data showed up-regulation of various genes of MVA and PP pathway at 25°C as compared to those at 15°C (Figure 8, Additional file 13). The accumulation of picrosides decreased at 25°C as compared to 15°C, whereas various genes of PP pathway exhibited up-regulation at 25°C. Since PP pathway is important in supplying cinnamate and vallinate for picrosides biosynthesis, an up-regulation of various genes of the pathways were envisioned at 15°C as compared to 25°C. However the results were opposite, suggesting rerouting of the metabolites towards the synthesis of other metabolites at 25°C. And at 15°C, the observed expression of genes of the MVA and PP pathway might be sufficient enough to meet the requirement of cinnamate and vanillate. In fact, increased activity of PAL (a gene of PP pathway) in response to thermal stress was considered as an acclamatory response of cells to heat stress in Citrulus vulgaris. Expression of various genes of PP pathway including PAL is regulated by TF family LIM. LIM proteins have conserved cysteine-histidine rich, zinc-coordinating domain consisting of two zinc fingers repeated in tandem. In transgenic tobacco, down-regulating the expression of LIM proteins through antisense approach lowered the expression of various genes of PP pathway . In P. kurrooa, RPKM based expression analysis showed that the expression of LIM was up-regulated at 25°C (Additional file 12) suggesting its role in regulating PP pathway. Thus at higher temperature, up-regulation of MVA and PP pathways could have a role in temperature stress acclimation also.
Transcriptome data identifies cytochrome P450 (CYPs) and glycosyltransferases (GTs) as a source of hitherto unknown genes involved in the biosynthesis of picrosides
In P. kurrooa, the intermediates and enzymes involved in cyclization of GPP for the synthesis of iridoid moiety and later its condensation with glucose and cinnamate/vanillate moieties are yet to be deciphered. In vivo tracer studies in Catharanthus roseus and Lonicera morrowii showed that iridoid is synthesized by cyclization of 10-oxogeranial to yield iridoial . This is subsequently converted into iridoid compounds via iridotrial intermediate, and involves multiple oxidation/hydroxylation and glycosylation reactions. Most of the oxidative reactions, including hydroxylations, epoxidation, dealkylation, dehydration and carbon-carbon bond cleavage are catalyzed by CYP group of enzymes , whereas glycosylation reactions are catalyzed by GTs. Therefore, it would be relevant to discuss CYPs and GTs in the transcriptome of P. kurrooa.
CYPs are membrane bound hemoproteins involved in array of pathways in primary and secondary metabolism. Some of the example of CYPs include lauric acid hydroxylase, limonene-3-hydroxylases (CYP71D13 and CYP71D15), (+)-menthofuran synthase, geraniol hydroxylase, camphor-6-exo-hydroxylase, cinnamate 4-hydroxylase (4-CH), flavonoid 3'-hydroxylase, flavones synthase 2- berbamunine synthase, tyrosine N-hydroxylase. Based on phylogenetic studies, plant CYPs can be divided into 10 separate clans that cover the current 61 families .
GTs constitute a large family of enzymes that catalyze transfer of glycosyl group from activated sugars [activation is achieved after addition of nucleoside diphosphate e.g., uridine diphosphate (UDP) sugars] to aglycone acceptor molecules, and regulate their bioactivity, solubility and transport . GTs are grouped into 69 families based on the substrate recognition and sequence relatedness, of which family 1 is the largest and is over-represented by uridine diphosphate glycosyltransferases (UGTs). UGTs use UDP-glucose as the donor in the GT catalyzed reactions . Therefore, the reactions involving transfer of glucose utilize UGTs. UGTs have 44-amino acid C-terminal signature motif designated as PSPG box and are encoded by large multigene families, sometime comprising several hundred of genes. For example, family 1 UGTs are encoded by 120 UGT genes in A. thaliana and by 165 UGTs in M. truncatula. The UGT superfamily in higher plants is thought to encode enzymes that glycosylate a broad array of aglycones, including plant hormones, all major classes of plant secondary metabolites, and xenobiotics such as herbicides . Picrosides are present as 1-O-glucosides and hence an analysis of UGTs would be central to identify the gene associated with the glycosylation of iridoid moiety.
Experimental validation of RPKM data by reverse transcriptase-polymerase chain reaction (RT-PCR)
RT-PCR showed up-regulation of HMGR, mevalonate kinase (MVK) and phosphomevalonate kinase (PMK) of MVA pathway and COMT of PP pathway at 15°C. However, RPKM data exhibited up-regulation of these genes at 25°C. Expression of acetyl-CoA acetyltransferase (of MVA pathway) did not exhibit any significant variation at the two temperatures as evidenced by RT-PCR and RPKM data. Expression of GPS (Figure 8) was prominent at 15°C as compared to 25°C with 3 fold increase as per the RT-PCR data (Figure 11); RPKM based expression analysis also confirmed the same trend (Figure 8).
It was encouraging to note that except for PAL, 4-CH, COMT, 3-hydroxy-3-methylglutaryl-CoA synthase, HMGR, MVK, PMK, diphosphomevalonate decarboxylase, the expression of rest of the 11 genes as analyzed by RPKM and RT-PCR was in accordance with each other. The different trend of expression by RPKM and RT-PCR method has been reported by other groups as well . The possibility of opposite results by the two methods could be due to the reasons that genome analyzer provides a holistic picture of all the isoforms of a gene into consideration, whereas the expression by RT-PCR is specific to the isoform of the gene into consideration owing to the use of gene specific primers.
In this study, transcriptome for leaf tissue of P. kurrooa was generated and analyzed for the plants kept at 15°C and 25°C with a total of 74,336 assembled sequences. PE read data along with optimized parameters and suitable multiple assembling and clustering approaches were used to find out non-inflated number of assembled transcript sequences with high coverage and average length. The similarity and overlap based similarity search and assembling might result into inflated number of assembled sequences, many of which could be either from different parts of the same gene or the isoforms. The dissimilar sequence clustering approach used in the present work helped to overcome the above problems to a large extent and reduced over-representation of assembled sequences. GO, KEGG and EC based tools and scripts were used for sequence annotation. Transcriptome data exhibited GC content representative of a dicot genome and also abundance of trinucleotide SSR markers was evident. RPKM based expression analysis by comparing transcriptomes at two temperatures showed major adjustments reflecting changes in major biological processes and metabolic pathways including the pathways associated with picrosides biosynthesis. A number of novel candidate genes involved in picrosides biosynthesis, including CYPs and UGTs were also identified, which could serve as a source of hitherto uncharacterized genes associated with picrosides biosynthesis. Transcriptome data generated in the present work has immense implications in understanding plant response at two temperatures, marker assisted selection, and metabolic engineering in an economically important, medicinal and endangered plant species P. kurrooa.
Plants of P. kurrooa were collected from its natural habitat at Rohtang pass (4,000 m altitude, 32°23' N, 77°15' E, India) and maintained at the Institute at Palampur (1,300 m altitude; 32°06' N, 76°33' E, India) as described previously . After three months at Palampur, these were shifted to plant growth chambers (Percival Scientific, USA) maintained at 15°C and 25°C with a 16-h photoperiod. Plants were adequately watered and the sampling was done on day 6 at the two temperatures. Third leaf (position with respect to the top apical leaf designated as first leaf) was harvested for various experiments, frozen in liquid nitrogen and stored at -80°C for further use.
Extraction and estimation of picrosides
Picrosides were estimated as described previously  except that Ultra Performance Liquid Chromatography (UPLC) system consisting of Acquity UPLC (Waters, Millford, USA) equipped with binary solvent manager, sample manager, photodiode array detector (PDA) and a BEH workflow Shield C18 (1.7 μm particles, 2.1 × 100 mm) analytical column (Waters Corp., Manchester UK) was used. After extraction, samples were filtered through 0.22 micron filter (Millipore, USA) and injected into the chromatographic system. The mobile phase consisted of formic acid (0.05%) in water and methanol:acetonitrile (1:1) in 70:30 ratio. Isocratic elution was carried out at a flow rate of 0.250 ml min-1 with injection volume of 5 μl. Picrosides were monitored at 270 nm and quantified using picroside I and picroside II as standards (ChromaDex™, USA). Four separate biological replicates were used for each estimation.
Preparation of cDNA and transcriptome sequencing
Total RNA was extracted as described by Ghawana et al. . Quality and quantity of RNA was determined using a Nanodrop 1000 (NanoDrop Technologies, USA) and a Bioanalyzer Chip RNA7500 series II (Agilent Technologies, USA). Total RNA was used to purify poly (A) mRNA using Oligotex mRNA midi prep kit (QIAGEN, Germany) followed by repurification using mRNA-Seq 8 sample prep kit (Illumina, USA). This was used to prepare a non-directional Illumina RNA Seq library. Quality control and quantification of library was performed with a Bioanalyzer chip DNA 1200 series II (Agilent Technologies, USA). Each library had an average insert size of 200 bp. PE 36 bp sequences were generated on Illumina genome analyzer IIx following manufacturer's instructions.
De novo assembly and sequence clustering
Assembly validation and similarity search for assembled transcripts
In order to assess the reliability of assembly, 500 experimentally validated EST sequences available at dbEST NCBI of P. kurrooa were used (Additional file 5). A BLASTN analysis was performed for each reported EST against the set of assembled sequences at E-value threshold of 10-5.
For similarity search, the assembled and filtered transcript sequences obtained after hierarchical clustering were scanned against NR protein database  through BLASTX with the E-value threshold of 10-5.
Assembled transcripts of P. kurrooa were blasted against UniProt databases  and associated GO , KEGG  and EC with a cut-off E-value of 10-1. It was observed that high stringent cut-off missed out either the right candidate and valid annotations and sometimes no hit was reported. GO terms were assigned for each unigene based on the GO terms annotated to its corresponding homologue in the UniProt database. For every query transcript sequence multiple hits were observed. Using in-house developed scripts, the best hit observed for each given sequence was selected based on highest bitscore and E-value. Majority of GO, EC and KEGG based annotation and statistics was done using Annotation tool, Annot8r . Plant transcription factor database  hosts large number of plant specific TFs, their classification, corresponding nucleic acids and protein sequences. In the current study, data for all the 29,474 TFs reported in the database, version 3.0, were downloaded. The assembled transcript sequences were searched against this database using BLASTX with an E-value threshold of 10-5. Only the top bit-scoring significant hit for each sequence was considered. GO term enrichment analysis was performed using Bingo tool  for hyper-geometric test, with Bonferroni Family-wise error rate correction . This enrichment analysis was performed to evaluate the enrichment of various GO categories for the transcripts having expression level 2 fold or above at 15°C and 25°C.
Functional domains search for unknown sequences
The assembled sequences which did not return any homologous sequence hit through BLASTX, were converted into six longest ORFs, which were scanned against the functional domain databases like Conserved domain database, using RPS-BLAST  using UNIX version of RPS-BLAST [108, 109].
Comparative similarity search for assembled sequences for different environmental conditions
In order to find the common transcripts between sets of assembled sequences for P. kurrooa at 15°C and 25°C, the assembled transcript sequences for both the conditions were search against each other using BLASTN with E-value threshold of 10-5. Transcripts returning best hits were identified as the common transcripts.
Read mapping and transcript abundance measurement
Applying the approach adopted by Mortazvi et al.  the expression level of each assembled transcript sequence can be measured through RPKM values. RPKM level measurement is a sensitive approach to detect expression level, that measures expression of even poorly expressed transcripts using read count as the fundamental. For RPKM measurement, we first mapped back the filtered reads to various assembled transcripts, estimated total mapped reads, uniquely mapped reads assigned to each assembled transcript, with maximum two mismatches allowed. SeqMap  was used for read mapping and rSeq  was applied for RPKM based expression measurement. Expression data from both the sample were collected for each of the transcripts. Similar sequences across the samples were searched and their differential expression was measured by calculating the ratio of expression at 15°C and 25°C. Assembled sequences were used as the reference sequence to map back short reads and to measure RPKM for all assembled transcripts as suggested by Mortazavi et al.  and Jiang and Wong . Based on the above mentioned dissimilar sequence clustering, having homologous sequences in database, for each such cluster, the longest sequence was considered as the representative sequence for the unique gene it represented. The associated GO terms and Ids were parsed for each of such sequence and their corresponding RPKM values for the two different temperature conditions were calculated along with fold increment.
GC content analysis and SSRs identification
GC content of the sequences was measured using Emboss GeeCee tool, while sequences were scanned for SSR markers using MISA .
Gene validation and expression analysis
Results of gene expression were validated by RT-PCR. RNA was pretreated with RNase-free DNase I (Invitrogen, USA) to remove any contaminating DNA followed by first strand cDNA synthesis with 1 μg of total RNA using superscript III (Invitrogen, USA) according to the manufacturer's instructions. PCR conditions including primer details for RT-PCR are mentioned in Additional file 16. Cycling conditions were optimized to obtain amplification within the exponential phase. Amplicons were quantified using Alpha DigiDoc gel documentation and image analysis system (Alpha Innotech, USA). Triplicates of each reaction were performed, and 26 s rRNA was chosen as an internal control for normalization .
We acknowledge the financial support provided by the Council of Scientific and Industrial Research (CSIR) through networking projects entitled "Exploratory study on climate change and adaptation of species complexes NWP020" and "Pathway engineering and system biology approach towards homologous and heterologous expression on high-value phytoceuticals (artemisinin, taxanes, picroside, morphine, withanolides) NWP008". RS thanks CSIR for MLP0037 internal funding for Bioinformatics infrastructural support raised. We are thankful to Hue Jiang, Stanford University, for providing us rSEQ, a tool to measure RPKM as well as helpfully discussing the process of RPKM calculation for interpreting transcript abundance. PG thanks ICMR, India, for awarding Junior Research Fellowship; HRS, NS, AK gratefully acknowledge CSIR for providing assistantship; VC is thankful to DST for INSPIRE-JRF fellowship. The manuscript represents IHBT publication number 3183.
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