- Research article
- Open Access
Sequencing analysis of 20,000 full-length cDNA clones from cassava reveals lineage specific expansions in gene families related to stress response
- Tetsuya Sakurai†1,
- Germán Plata†2,
- Fausto Rodríguez-Zapata†2,
- Motoaki Seki3,
- Andrés Salcedo2,
- Atsushi Toyoda4,
- Atsushi Ishiwata1,
- Joe Tohme2,
- Yoshiyuki Sakaki4,
- Kazuo Shinozaki3 and
- Manabu Ishitani2Email author
© Sakurai et al; licensee BioMed Central Ltd. 2007
- Received: 12 June 2007
- Accepted: 20 December 2007
- Published: 20 December 2007
Cassava, an allotetraploid known for its remarkable tolerance to abiotic stresses is an important source of energy for humans and animals and a raw material for many industrial processes. A full-length cDNA library of cassava plants under normal, heat, drought, aluminum and post harvest physiological deterioration conditions was built; 19968 clones were sequence-characterized using expressed sequence tags (ESTs).
The ESTs were assembled into 6355 contigs and 9026 singletons that were further grouped into 10577 scaffolds; we found 4621 new cassava sequences and 1521 sequences with no significant similarity to plant protein databases. Transcripts of 7796 distinct genes were captured and we were able to assign a functional classification to 78% of them while finding more than half of the enzymes annotated in metabolic pathways in Arabidopsis. The annotation of sequences that were not paired to transcripts of other species included many stress-related functional categories showing that our library is enriched with stress-induced genes. Finally, we detected 230 putative gene duplications that include key enzymes in reactive oxygen species signaling pathways and could play a role in cassava stress response features.
The cassava full-length cDNA library here presented contains transcripts of genes involved in stress response as well as genes important for different areas of cassava research. This library will be an important resource for gene discovery, characterization and cloning; in the near future it will aid the annotation of the cassava genome.
- Gene Ontology
- Alternative Splice Variant
- Cassava Plant
- KEGG Orthology
- Recent Gene Duplication
Among starch producing crops, cassava (Manihot esculenta Crantz, Euphorbiaceae) has a higher carbohydrate production than rice or maize under suboptimal conditions ; more than 163 million tons are produced in the world each year and about 84% of them are used for direct human consumption and animal feed . Cassava starch is used as a raw material for a wide range of food products and industrial goods, including paper, cardboard, textile, plywood, glue and alcohol . Moreover, because starch production from cassava is cheap compared to other crops, it is gaining attention as a biomass source for fuel production . The growing interest in cassava as an energy crop is evidenced by a genome sequencing project  and the increasing production and technical advancements in tropical countries; for instance, cassava fresh root production in Thailand increased from 6.3 to 20 million tons between 1973 and 1990  while a 2.2% increase per year has been reported for the same period worldwide .
By virtue of its remarkable tolerance to abiotic stresses, cassava is grown in marginal, low fertility acidic soils showing increased nutrient use efficiency . It is known to maintain a healthy appearance in drought-prone areas, remaining photosynthetically active though at a reduced rate . Because cassava is very drought-resistant and the tubers can be left in the soil for a couple of years, it is considered an important reserve carbohydrate source to prevent or relieve famine . Cassava has some unusual characteristics that make it highly productive in near optimum environments (hot-humid climates with high solar radiation), these include elevated activities of the C4 phosphoenolpyruvate carboxylase enzyme, long leaf life and low photorespiration rates ; it, however, is usually grown in marginal highly eroded soils with uncertain rainfall and almost no agrochemical input. Although cassava has some features that allow it to cope with stress better than other crops, e.g. high stomatal sensitivity to environmental humidity , deep rooting capacities and quick recovery after stress , under these conditions productivity is sub-optimal and unstable . Cassava productivity is also threatened by bacterial and viral diseases , as well as arthropod pests . Moreover, its high starch content is in contrast with its deficiency in proteins and key micronutrients (zinc, iron and vitamins), as well as the production of toxic hydrogen cyanide .
To address these issues, traditional breeding methods have had some success, particularly in improving fresh root yield and dry matter content under non-stress conditions , however, because of the crop's heterozygous genetic makeup and long growth cycle, progress with this approach is slow . The use of biotechnology to improve cassava cultivars is a more straightforward strategy that relies on the tools of molecular and cell biology to find genetic determinants of desirable phenotypes . The construction of genetic maps and the identification of quantitative trait loci have yielded some results in cassava response to biotic stress , yet, the identification of candidate genes with this approach is a time consuming process involving the construction of bacterial artificial chromosome (BAC) libraries and anchoring of these clones to the genetic map . A reverse-genetics approach  can be a more direct solution, relying on the accumulated knowledge of gene function in model species it is possible to assess the effects of selected genes through regulation of their expression. As an example, silencing of P-450 cytochromes has allowed the production of cyanogen-free transgenic cassava plants [22, 23].
One tool that may assist both, the characterization of a plant expressed genes and the isolation of nucleotide sequences of genes with known function, are ESTs . These are a cost-effective gene discovery methodology that is also useful for the study of gene expression . Despite its importance, large-scale sequence collections from cassava are scarce, there are 36162 expressed cassava sequences in the dbEST database  as of April 2007, which is a small number compared to the number of ESTs of maize (2961956), rice (1912256), soybean (686687), potato (275813) or sugarcane (257998). This is likely to change with the release of a cassava draft genome sequence this year by the United States Department of Energy's Joint Genome Institute. Although ESTs can aid the annotation of the cassava genome, the fact that most of them come from libraries made of random mRNA fragments, make them insufficient to accurately and fully define gene models , ESTs are not only derived from partial transcripts, but also they can confound alternatively spliced forms during the assembly process . Moreover due to the fragmentary nature of ESTs, their use in gene functional analysis is limited [29–31].
Full-length cDNA libraries, on the other hand, are built in such a way that one insert represents one transcription unit, providing information on complete molecules for the functional dissection of genes . We built a full-length enriched cDNA library from cassava leaves and roots subject to drought, heat, and acidic conditions, as well as from roots subject to post-harvest physiological deterioration (PPD), a major obstacle for cassava commercialization . The aim of this library is to support research in cassava improvement for high yield under abiotic stress, providing full sequences of stress-responsive genes and expanding the gene catalog of this species. The characterization of the transcripts captured in the library and the selection of non-redundant clones will certainly aid the annotation of genomic sequences  and the construction of microarrays or other tools for functional genomics . In order to characterize the library and find the number and putative functions of the transcripts captured, nearly 20.000 clones were sequenced from both ends, these ESTs, although unlikely to include the whole sequence of the inserts, are tagged with clone names. Because this information is considered during the assembly process, ESTs derived from a full-length library allow, in principle, a more accurate definition of transcript units than normal ESTs.
The annotation of the sequences acquired and the availability of the genome sequences of two species closely related to cassava such as castor bean (Ricinus communis, Euphorbiaceae) and poplar (Populus trichocarpa, Salicaceae)  as well as the complete set of genes from Arabidopsis thaliana, provide altogether an opportunity to study the evolution of the cassava genome by means of comparative genomics ; if it is possible to define gene correspondences between these species and on that basis find sequences that are unique to cassava, a closer inspection of these genes could provide hints as to the mechanisms underlying cassava's unique features. Cassava is believed to be an allotetraploid that appeared by hybridization of wild Manihot species , it would then be interesting to see what genes within a highly heterozygous gene pool have remained functional during cassava domestication; for this we use a methodology for the detection of recent duplications that is based on the detection of groups of genes sharing similarity to single sequences in other genomes, hopefully the genes detected with this strategy will aid cassava research for the genetic improvement of an already outstanding crop.
Sequencing and assembly of both-end, single-pass sequences
A full-length cDNA library was constructed from leaves and roots of cassava plants under various environmental conditions (see methods), 19968 clones (CAS01_001_A01 to CAS01_052_P24 or 52 × 384-well plates) were sequenced from both ends; the clones are available at RIKEN Bioresource Center  and the sequences can be obtained from the DNA Databank of Japan (DDBJ) under accession numbers DB920056-DB955455.
Sequence reads were trimmed for low quality and vector contamination; 35400 sequences belonging to 19449 clones were obtained after this process. For the clones with 5' and 3' sequence data showing significant sequence similarity to known proteins, the calculated full-length ratio was 0.84, meaning that roughly 85% of the clones contain the complete coding sequence (CDS) of their inserts.
The sequences were assembled into 6355 contigs and 9026 singletons using CAP3; however, given that all sequences were tagged with their respective clone ids, we were able to further cluster the results of the CAP3 assembly to build 10577 scaffolds representing distinct transcripts. Of these, 2005 (19%) contained, in a single contig, both ends of the respective clones and were thus considered full-length sequences.
Summary of library properties and assembly results after sequencing the clones from both ends.
Sequence reads (trimmed)
Fully sequenced transcripts
Novel cassava transcripts
Novel plant transcripts
Number of predicted transcripts according to the species-specific datasets downloaded from the given locations.
Joint Genome Institute 
Sequence functional annotation
Comparison of the number of genes per pathway in Arabidopsis and in the full-length cDNA library according to the automated annotation. The 40 KEGG pathways with the largest number of cassava genes are presented.
Starch and sucrose metabolism
Biosynthesis of steroids
Phenylalanine, tyrosine and tryptophan biosynthesis
Pentose phosphate pathway
Citrate cycle (TCA cycle)
Porphyrin and chlorophyll metabolism
Glycine, serine and threonine metabolism
Alanine and aspartate metabolism
Arginine and proline metabolism
Basal transcription factors
One carbon pool by folate
Fructose and mannose metabolism
Fatty acid metabolism
Glyoxylate and dicarboxylate metabolism
Valine, leucine and isoleucine biosynthesis
Stilbene, coumarine and lignin biosynthesis
Valine, leucine and isoleucine degradation
For some pathways we captured the full-length transcript of genes homologous to more than 70% of the enzymes involved according to the Arabidopsis annotation, these almost-complete pathways include: 'Glycolysis/Gluconeogenesis' (100%), 'Starch and sucrose metabolism' (76%), 'Proteasome' (84%), 'Carbon fixation' (92%), 'Pyruvate metabolism' (79%), 'Biosynthesis of steroids' (70%), 'Pentose phosphate pathway' (93%) and 'Stilbene, coumarine and lignin biosynthesis' (73%) among others. The metabolic pathway of starch metabolism is of special interest in the case of cassava; the synthesis of this biopolymer is a relatively simple process that relies on the activities of three major enzymes: ADP glucose pyrophosphorylase (ADPGPase, 18.104.22.168), starch synthase (SS, 22.214.171.124) and starch branching enzyme (SBE, 126.96.36.199) ; as shown in Figure 2, we captured the full-length sequence of ADPGPase and SS, the pathway visualization also indicates that the SBE was not found in the library. Three cassava transcripts of ADPGPase were identified; these included one sequence of the small subunit of this enzyme and two alternative splicing variants of the large subunit. For the SS enzyme we found five sequences, these appear to be alternative transcripts of two enzyme isoforms.
Molecular markers are an important tool for crop improvement. Using the SSRFinder set of Perl scripts  and the AutoSNP package , we designed 1391 Simple Sequence Repeats (SSR) and 2356 Single Nucleotide Polymorphism (SNP) markers for 1725 of the 10577 captured transcripts; these markers were stored in a relational database where they were linked to the functional annotation of the sequences. After this process we got either a SNP or a SSR marker for 7 of the 22 cassava transcripts identified as enzymes in the starch and sucrose metabolism pathway, these enzymes include SS, starch phosphorylase (188.8.131.52), sucrose phosphate synthase (184.108.40.206) and UDP-glucose 6-dehydrogenase (220.127.116.11), which are enzymes known to have an effect on starch production [46, 47]. Of the remaining 1718 genes associated with molecular markers, 563 were inside genes included in 85 different pathways.
Arabidopsis stress-induced genes identified by the RAFL microarray  captured in the cassava full-length library.
Gamma tonoplast intrinsec protein 2
Heat shock protein dnaJ homolog
Catalase 3 (CAT3)
Cysteine proteinase homolog
DC 1.2 homolog
Non-specific lipid transfer protein
Cysteine proteinase inhibitor homolog
Rice glyoxalase 1 homolog
DEAD box ATPase/RNA helicase protein (DHR1)
Putative cold acclimation protein
Reversibly glycosylated polypeptide-3
Nodulin-like protein homolog
Group II LEA protein
Group II LEA protein
LEA protein SAG21 homolog
Jasmonate-inducible protein homolog
Gene correspondence and in-paralog (co-ortholog) detection
In the following sections the term ortholog will be used to designate sequences that are derived from a single ancestral gene in the last common ancestor of the species that are being compared . This definition allows for cases were a single copy of a gene exists in each of these genomes (one-to-one orthologs) and cases where recent gene duplication has occurred and two or more genes in one species are orthologs with a single gene in another. In the later case, genes produced by gene duplication after a speciation event are called in-paralogs and they are co-orthologs of the corresponding gene in other species.
It is not our objective to provide a full classification of the transcripts captured in the full-length library into orthologs and paralogs, but to make use of the methods available to describe some interesting features of this collection of genes. First we use blast to designate pairs of genes that are reciprocal best hits (RBHs) when cassava transcripts are compared to those of other species. With this approach, RBHs are interpreted as potential one-to-one orthologs whereas co-orthologs are ignored; this way we are able to look for GO terms overrepresented in the set of sequences that remain unpaired (including possible gene duplications and alternative transcripts) as a means to recognize functional categories that are particularly frequent in the annotation of cassava transcripts. Second, we use blast to identify putative in-paralogs from a set of sequences from which alternative transcripts have been removed; this way we can produce a list of potential recent gene duplications for further analysis.
Besides GO terms that are immediately associated to stress response like 'response to high light intensity,' 'response to heat' or 'response to oxidative stress,' sequences without a reciprocal best hit were frequently annotated with terms related to the synthesis of stress-responsive molecules like 'phenylpropanoid biosynthesis' ; also they were annotated with terms describing cellular processes that are enhanced during stress such as 'ubiquitin-dependent protein catabolism' [49, 50] and 'abscisic acid mediated signaling' ; or, as a third example, with terms like 'photosynthesis, light harvesting', which we found to include mainly homologues of chlorophyll binding proteins, that might help protect the photosystems during high-light stress .
Given that many of the sequences without assigned orthologs were somehow involved in response to stress, we wanted to see if those unmatched sequences corresponded to recent gene duplications of stress-related genes instead of alternatively spliced forms or assembly errors of single genes. For this we excluded from our set of sequences the scaffolds that were identified as alternative splicing variants of other sequences. Then, we defined in-paralogs as sequences that were similar to each other and shared the same best hit in another genome (see "Methods").
Value of the cassava full-length cDNA library
We built the first EST characterized full-length cDNA library of cassava, providing nearly the same number of sequences previously available in EST databases of this species. The high number of novel sequences captured in this library can be taken as an indication of how poorly characterized the cassava transcriptome is; our library was not normalized, however, the fact that we extracted mRNA from leaves and roots of cassava plants under different environmental conditions, resulted in a low-redundancy set with more than 7000 distinct sequences represented by just one clone (Figure 1). This low redundancy could be the outcome of different gene expression patterns in response to the varying conditions used to build the library, also, the small overlap between our set of ESTs and those of previous efforts that focused on cassava traits like starch content and response to pathogens , could be an indication of the presence in our library of many genes specific to the abiotic stresses used in this study.
Full-length cDNAs are useful for the detailed annotation of sequence features in coding sequences and untranslated regions (UTRs) . While the analysis of the first can sometimes render valuable information about protein structure and function through the annotation of amino acid motifs or protein domains , UTR sequences can be useful for the analysis of gene expression by means of the identification of transcription factor binding motifs , polyadenylation signals  and other structural features. Given the above, the importance of our effort is not only measured in terms of the amount of sequences captured, but also in terms of the quality and relevance of the genes represented in the library. We found that approximately 85% of the clones in our library contain full-length inserts; although this means that some of the cloned fragments are incomplete, the functional characterization of partial cDNAs in the library still allows the retrieval of sequence data for further experiment design and for the isolation of the full-length cDNA of specific genes. Moreover, from the EST information alone, we were able to determine the 5'UTRs of 1949 sequences and the 3'UTRs of 2241 sequences, as well as the complete coding sequence of 732 genes by running BLASTX against a set of known proteins, this information can be valuable to look for functional features such as micro RNA binding sites .
We tried to minimize annotation errors by using curated databases of protein function to retrieve GO and KO terms (see "Methods"). Although this can prevent the propagation of such errors, sequence similarity does not always guarantee functional relationship, especially when identity is low . In our dataset, only 15 percent of the alignments that were used to retrieve functional annotations had a percent identity below 50 % and more than 70 % of the times the e-value was less than 10-30; as shown by Joshi and Xu , this level of sequence similarity can be expected to provide a 70 to 80 percent probability that two proteins will have similar functions, even for the most specific GO terms. Wilson and collaborators  have also showed that precise function is generally well conserved when sequence identity is above 40%. We trust that the overall representation of functional categories of the sequenced transcripts should not be very different from what we presented, however, at the more specific levels, one should be very careful in verifying the functional significance of sequence similarity.
Putative functions were assigned to 78% of the sequenced clones, this is in contrast with previous cassava EST collections for which as much as 63% of the sequences showed no significant similarity to known proteins , the high number of annotated sequences in our library may be due to an increase in the number of annotations in GO. Compared to similar reports in other species, we assigned a function to more sequences than those reported for maize  or wheat  full-length libraries, in these cases the amount of sequences with no function assigned were 52 and 44% respectively. The fact that a large portion of the sequences in our library has been assigned a function through sequence similarity aids the detection and isolation of particular genes known to participate in relevant biological processes, or at least of genes with features such as protein motifs that would make them interesting targets for research.
While most of the clones were linked to a molecular function or biological process using GO, the use of KEGG pathways to visualize functional assignments allows a much easier assessment of the enzymatic activities and metabolic processes for which we have transcripts. We mapped our cassava sequences to almost all of the pathway graphs of Arabidopsis; it is noteworthy that with only 10577 distinct transcripts, the equivalent to more than half of the pathway knowledge represented in KEGG for Arabidopsis been inferred from electronic annotation in cassava. KEGG pathways consist of reference diagrams on top of which species-specific enzymes can be drawn, since not all the metabolic pathways are as conserved as to allow the construction of a reference diagram, most of the KEGG pathway graphs are of intermediary metabolism processes, and only a few regulatory pathways for a particular species like A. thaliana are available . Nonetheless, traits of agronomical value such as starch content and quality , carotene production , photosynthesis  and lignin biosynthesis  that are important targets for cassava improvement are easily related to some of the KEGG pathway maps (Figure 2); identification of cassava genes participating in these as well as other processes would allow a rapid selection, isolation and characterization of key enzymes for the improvement of the crop, i.e. rate limiting enzymes or catalytic elements missing from a biosynthetic pathway. As an example, ADPGPase has been shown to be a rate limiting enzyme in starch biosynthesis whose over-expression in cassava leads to increased root biomass , the characterization of the molecular diversity of this as well as other enzymes could lead to the development of higher yielding crops.
Although our library was oriented towards stress genes, the fact that we captured the full-length transcript of important enzymes in processes such as starch biosynthesis shows that we have a valuable resource for several aspects of cassava research. Furthermore, since we were able to design molecular markers for genes that directly or indirectly affect the poising between starch production and the synthesis of other molecules like sucrose  or glucuronate; it is possible that the information provided by this library will provide elements for marker assisted selection in this as well as other processes, i.e. protein biosynthesis, carotene accumulation, disease resistance, etc.
Once a candidate gene in cassava is selected, the complete cDNA sequence can be easily isolated from the corresponding clones. This sequence can then be used to screen the molecular diversity of the studied loci to find gene variants suited for molecular marker development in a breeding program; with this in mind, we used the ESTs to design SSR and SNP molecular markers; if these markers are within interesting genes, then they could be valuable for the detection of quantitative trait loci (QTL). Moreover, once the cassava genome is revealed, they could serve as a tool for pseudomolecule assembly , which is an addition to the central role of the full-length sequences in gene annotation.
We found that our library contains transcripts of 7796 different genes, this is a small number compared to the expected number of genes for a higher plant [63, 64]; The calculated number of 50698 transcripts in cassava is a guide for the future efforts required for the completion of the gene catalog for this species. This figure however may well be an overestimation of the true number of transcripts, mainly because our library is believed to be rich in rare transcripts that result from specific stress conditions .
Transcripts of stress-related genes
RNA from different tissues of plants under normal conditions was pooled with that of plants under PPD, drought, heat and acidic soil stresses, we therefore suppose that our library should be enriched with transcripts of genes induced by these conditions. If this is the case, one of the objectives of the analysis should be the identification of the types of stress-induced genes in the library. As stated before, the abundance of novel cassava sequences in our set of transcripts could be an indication of the specificity of the genes captured according to the different treatments; this assumption is supported by the fact that we captured most of the stress-induced genes detected by the RAFL microarray  and that most of the sequences without assigned one-to-one orthologs in other species are in GO categories linked directly or indirectly to stress response.
The comparison of the annotation of sequences with and without RBHs that we made for the detection of stress-induced genes is based on the following assumption: if there is more than a spliced form, allele or copy of a certain gene in a set of sequences, the use of the RBH criterion to define orthologs in a second set would assign just one of them to the corresponding sequence in the second group, this would leave an amount of unpaired sequences that would enrich the corresponding GO category in the group of sequences without orthologs. If our library includes many transcripts of stress related genes, then it is more likely to find alternative splicing variants or even more assembly errors of these sequences; this would lead to an overrepresentation of genes annotated with GO terms corresponding to the functional categories of these sequences.
One possible explanation for the fact that many of the sequences without one-to-one orthologs were associated with stress-related genes could be the existence of recent gene duplications of these sequences in the cassava lineage. We applied a very conservative methodology to detect some of these duplications (see "Methods"); with this method, two or more cassava sequences sharing their best hit in at least two other genomes are considered as potential in-paralogs. In order to create a method to establish gene correspondences across genomes while dealing with recent and ancient gene duplications, Kellis and collaborators have defined a best unambiguous subset as a group of genes such that all best hits of any gene within the set are contained within the set and no best hit of a gene outside the set is contained within the set ; accordingly, we defined potential gene duplications in cassava by finding pairs of potential in-paralogs in which only one of the sequences was a best hit of genes in a second genome; in this way we avoid the report of false positives in which orthologs exists for the candidate in-paralogs, but both best blast hits point to just one of them , in many cases as a result of different sequence lengths.
As shown in Figure 4, almost 5% of these potential duplications are annotated in the 'response to stimulus' GO category; although this number may seem small, we have already seen that not all of the sequences related to stress response are annotated in that category. For instance, many sequences involved in ubiquitin-mediated proteolysis correspond to a large portion of the duplications in the 'macromolecule metabolism' category. A detailed inspection of the 230 possible gene duplications that we found, revealed that they were homologous to several enzymes related to ROS metabolism; since heat , drought , acidic soils  and PPD  have been reported to induce ROS production, we think that these potential duplications are a good example of how the full-length library can provide hints as to the mechanisms underlying cassava stress response features.
Most ROS in plants are produced by dismutation of superoxide generated by electron transfer to molecular oxygen in the Mehler reactions of the chloroplast . During stress response, H2O2 production can be increased  in a process that sometimes involves abscisic acid mediated stomatal closure and reduction of CO2 levels for photosynthesis . High dosage of hydrogen peroxide results in hypersensitive cell-death while low quantities of this molecule can trigger a protective function against different stress conditions , this ROS-mediated activation of stress responses is dependent on a network of many genes that balance the outcome of ROS-scavenging and ROS-producing proteins . What we found in our sample of the cassava transcriptome is that many important enzymes in the main pathways of H2O2 scavenging seem to be duplicated (Figure 5); we propose that these duplications may account, at least in part, for the stress tolerance characteristics of cassava, and that this could be due to a tighter control of some of the ROS signaling mechanisms already described for other plants. We base our hypothesis on the extensive literature regarding the importance of molecules like MDAR , FNR , NTR , GLR [79, 80], thioredoxin  and glutathione [82, 83] in plant sensitivity to environmental stress.
It is believed that the genus Manihot emerged by recent allopolyploidization, this event is considered responsible for both, rapid speciation and weak interespecific barriers leading to hybridization . We hypothesize that potential duplications of stress-responsive genes could have originated in this polyploidization event; since it has been shown that most genes are rapidly silenced after these episodes unless they diversify in function , it would be interesting to see if some of the detected duplications show evidence of subfunctionalization. A first step to do this would be the evaluation of the expression profiles in different organs and under various conditions of the plausible gene duplications detected with this library, this could readily be done through microarray construction, for which once again the full-length library would be an invaluable resource .
The cassava research community will certainly benefit from the full-length library here presented. The analysis of the sequenced clones already suggests tempting research directions for the improvement of this crop. An in-depth analysis of gene features and gene families in cassava, as well as the fine-tuning of their assigned functions, could provide the necessary elements for the enhancement of production under stress environments, moreover, what we learn from this crop should lead to important achievements in other important but not so tolerant plant species.
Plant material and abiotic stresses
Conditions and tissues used for mRNA extraction.
Duration of treatment before RNA extraction
9, 11, 12 weeks
3, 6, 24, 72 hours
3, 6, 24, 72 hours
24, 48, 120 hours
High Al, low pH
3, 6, 24, 72 hours
High Al, low pH
6, 24, 48 hours
For the high Al-low pH treatment, plants were placed in continuously aerated solutions containing 200 μM AlCl3 and 200 μM CaCl2 with pH 4.2. In the heat treatment they were incubated at a temperature of 42°C. For drought shock, plants were taken out of the pots and then their roots were washed with water, dried with a towel and left at room temperature. For the PPD treatment, nine-month-old roots were harvested and their distal and proximal parts cut, the proximal part of the tuber was covered with plastic, and the root was cut in 2 cm slides before RNA extraction.
RNA preparation and construction of the full-length cDNA library
Poly (A)+ RNA was prepared with the μMACS mRNA Isolation Kit (Miltenyi Biotec) under standard conditions given in the manual. A full-length cDNA library was constructed from the poly (A)+ RNA by the biotinylated CAP trapper method using trehalose-thermoactivated reverse transcriptase . The resultant double-stranded cDNAs were digested with BamHI and XhoI, and ligated into the BamHI and SalI sites of a Lambda FLC-III vector .
The DNA of each clone was directly amplified from 384 bacterial cultures of a glycerol stock plate by the RCA method  using a TempliPhi HT DNA amplification kit (GE Healthcare, United Kingdom). End sequencing of 19968 clones was carried out using ABI 3700 automated capillary DNA sequencers (Applied Biosystems). The M13-21 primer (5'-TGTAAAACGACGGCCAGT-3') and the 1233 primer (5'-AGCGGATAACAATTTCACACAGGA-3') were used for forward and reverse sequencing, respectively.
Trimming of sequence data and assembly
Raw sequence data was base-called using the Phred program , the low quality region (Phred quality score < 20, and more than 20 bases repeated) which was found at edges of each raw sequence was discarded. For vector sequence detection, we used the sim4 program . Sequence data of a length shorter than 100 bases after this trim process was omitted. In addition, if the repetition of a single nucleotide in a sequence was longer than 10% of its total length, we rejected such a sequence. ESTs were assembled by CAP3  with default parameters. Trimmed sequences were submitted to DDBJ under accession numbers DB920056-DB955455 while trace files were uploaded to the trace archive  under accessions 1918207201 to 191824260.
Full-length cDNA library quality
We calculated a full-length ratio with sample clones satisfying the following conditions: A clone had both, 5' and 3' sequence data, the e-value in a 5' sequence fastx34 search  was less than 1e-30 against the NCBI-nr dataset, and the aligned frame was in a plus direction. The clones fulfilling the conditions mentioned above were identified as 'full-length' if the fastx34 alignment of 5' sequence data started with methionine and a poly (A)+ tail existed in the 3' sequence.
In order to obtain a non-redundant set of transcripts, these were clustered according to clone names. For this, the '.ace' file from the CAP3 output was parsed to build scaffolds, that is, groups of sequences representing a unique transcript for which the relative position and orientation of the fragments can be inferred. Using clone names, the contigs or singletons corresponding to the two ends of a given clone were joined together by adding 20 Ns in the middle of both sequences. Since 20 is the default window size in BLAST searches these Ns do not interfere with the BLAST analyses.
Functional annotation of the sequences
Once these scaffolds were created, the sequences were introduced to a pipeline previously developed at CIAT for functional annotation of DNA sequences (GoMp). Shortly, the system uses protein sequences in high quality curated annotation databases, GO lite  and TAIR , and transfers the respective GO and KO annotations to sequences showing significant sequence similarity (e-value < 1e-5) using BLASTX . Within the top five hits of the blast report, we look for the best alignment with a sequence having assigned GO terms and a sequence with assigned KO accessions, if these two sequences are not the same, then both annotations are reported in order to assign a functional annotation from both controlled vocabularies. Annotations are then stored in a relational database and become navigable through web cgi-scripts. Pathway maps were drawn based on the KO accessions using the KEGG web services API .
Identification of alternative transcripts
To identify alternative splicing variants we used two approaches. First, we used the resulting CAP3 assembly and clone id information to select groups of two or more contigs formed by sequence reads of clones with a second read assembled in only one contig. Secondly, we performed a BLASTN analysis of the remaining sequences against itself and filtered those pairs for which all high scoring pairs of more than 100 base pairs had a percent identity of more than 98%.
Annotation of coding sequences and UTRs
For the annotation of coding sequences and UTRs, the blast report that was used to assign functions to the sequences was parsed to extract alignments around the beginning or end of known proteins, these positions were then used to find, in the same reading frame, start or stop codons that would define the start and end points of coding sequences and UTRs in the ESTs.
Molecular marker design
We used the SSRFinder set of Perl scripts  in order to find microsatellite repeats and automatically design PCR primers around them. Additionally, the e-PCR software  was used to remove unspecific primer pairs that annealed to more than one transcript.
The AutoSNP software  was used to find single nucleotide polymorphisms. For this we created a second CAP3 assembly including our sequences and ESTs from cassava accessions MBRA685, MPER183, CM523-7, MCOL1522 and SG107-35. We designed primer pairs around these SNPs using primer3  and primers for single base extension using the SBEprimer package .
Gene prediction in R. communis
The published assembly of the Ricinus communis genome (GenBank accessions AASG01000001 to AASG01036140) was masked for repetitive elements using RepeatMasker  and Arabidopsis repeat libraries. All Euphorbiaceae ESTs in GenBank (October 2006) were used to train TIGRSCAN for gene prediction  on the masked sequences. Putative protein coding genes having ORFs larger than 200 base pairs were considered; this resulted in a set of 22734 predicted genes used in further comparative analysis with M. esculenta. Although being a draft shotgun genome (129 MB out of ~300 MB, 2x coverage, maximum contig length 36140 and N50 length = 3683), it was still deemed valuable for analysis as it is currently the most complete genome sequence belonging to the Euphorbiaceae.
Comparative genomics analysis
The sequences of the predicted and/or verified transcripts of Arabidopsis thaliana, Populus trichocarpa and Ricinus communis were downloaded or determined from the genomic sequences. Then several reciprocal blast analyses were run using TBLASTX, e-value < 1e-5, and parsed to retrieve the best hit of each sequence of cassava in each of the other databases and the best hit of each sequence of the other species in cassava. We thus built a table representing the network of best hits among the four species.
A one-to-one ortholog was identified as a reciprocal best blast hit , with this definition we were able to divide our set of sequences into those that had one-to-one orthologs in any other species and those that did not. The comparison of the annotation of the two sets of sequences was performed using the WEGO web server , terms overrepresented in one of the two groups (p-value < 0.05 Pearson Chi-Square test and more than 5 genes per category) were considered for further analysis as having an overabundance of transcripts.
In-paralogs were found based on the same network of blast results with the following definition: C1 and C2 are cassava sequences, C1 and C2 are BLASTN hits (e-value < 1e-10) of each other and the best hit of both sequences in at least two of the datasets used for the comparison corresponds to a single gene. If the best hit of C1 and C2 in dataset A is sequence A1 and their best hit in dataset B is sequence B1, then the best hit of A1 and B1 in cassava must be either C1 or C2. Finally, for all C1 and C2 pairs fulfilling the above conditions, if only one of them is a best hit of sequences in dataset A and only one of them is a best hit of sequences in dataset B, then they are considered in-paralogs.
We thank all of the technical staff of the sequencing technology team at RIKEN genomic sciences center and Akiko Enju of the plant functional genomics research group of RIKEN plant science center for their technical assistance. We also thank Martin Fregene and Hernán Ceballos at CIAT for providing information and materials of the used genotype. We are also very grateful to the Biotechnology Institute of the National University of Colombia and to the Venezuelan National Center for Scientific Calculations for lending us their machines to perform the computational analyses. This work was supported by RIKEN Plant Science Center, The Grant-in-Aid for Scientific Research (Young Scientists (B)18700106) from the Ministry of Education, Culture, Sports, Science and Technology of Japan and additionally by the core fund of CIAT.
- Cock JH: Cassava: a basic energy source in the tropics. Science. 1982, 218 (4574): 755-762. 10.1126/science.7134971.PubMedGoogle Scholar
- IFAD, FAO: The world cassava economy. Facts, trends and outlook. Rome , IFAD, FAO 2000.Google Scholar
- Tonukari NJ: Cassava and the future of starch . Electronic journal of biotechnology. 2004, 7 (1): 5-8.Google Scholar
- Amutha R, Gunasekaran P: Production of ethanol from liquefied cassava starch using co-immobilized cells of Zymomonas mobilis and Saccharomyces diastaticus. J Biosci Bioeng. 2001, 92 (6): 560-564. 10.1263/jbb.92.560.PubMedGoogle Scholar
- Raven P, Fauquet C, Swaminathan MS, Borlaug N, Samper C: Where next for genome sequencing?. Science. 2006, 311 (5760): 468-10.1126/science.311.5760.468b.PubMedGoogle Scholar
- Sriroth K, Piyachomkwan K, Wanlapatit S, Oates C: Cassava starch technology: the Thai experience. Starch. 2000, 52: 439-449. 10.1002/1521-379X(200012)52:12<439::AID-STAR439>3.0.CO;2-E.Google Scholar
- El-Sharkawy MA, Cadavid LF: Response of cassava to prolonged water stress imposed at different stages of growth. Exp Agric. 2002, 38 (3): 333-350. 10.1017/S001447970200306X.Google Scholar
- El-Sharkawy MA: Cassava biology and physiology. Plant Mol Biol. 2004, 56 (4): 481-501. 10.1007/s11103-005-2270-7.PubMedGoogle Scholar
- Raheem D, Chukwuma C: Foods from cassava and their relevance to Nigeria and other African countries. Agriculture and Human Values. 2001, 18: 383-390. 10.1023/A:1015233606665.Google Scholar
- El-Sharkawy MA: International research on cassava photosynthesis, productivity, eco-physiology, and responses to environmental stresses in the tropics. Photosynthetica. 2006, 44 (4): 481-512. 10.1007/s11099-006-0063-0.Google Scholar
- Oguntunde P: Whole-plant water use and canopy conductance of cassava under limited available soil water and varying evaporative demand. Plant and Soil. 2005, 278: 371-383. 10.1007/s11104-005-0375-z.Google Scholar
- El-Sharkawy MA, Cock J: Response of cassava to water stress. Plant and Soil. 1987, 100: 345-360. 10.1007/BF02370950.Google Scholar
- Tomkins J, Fregene M, Main D, Kim H, Wing R, Tohme J: Bacterial artificial chromosome (BAC) library resource for positional cloning of pest and disease resistance genes in cassava (Manihot esculenta Crantz). Plant Mol Biol. 2004, 56 (4): 555-561. 10.1007/s11103-004-5045-7.PubMedGoogle Scholar
- Bellotti A, Schoonhoven A: Mite and insect pests of cassava. Ann Rev Entomol. 1978, 23: 39-67. 10.1146/annurev.en.23.010178.000351.Google Scholar
- Andersen MD, Busk PK, Svendsen I, Moller BL: Cytochromes P-450 from cassava (Manihot esculenta Crantz) catalyzing the first steps in the biosynthesis of the cyanogenic glucosides linamarin and lotaustralin. Cloning, functional expression in Pichia pastoris, and substrate specificity of the isolated recombinant enzymes. J Biol Chem. 2000, 275 (3): 1966-1975. 10.1074/jbc.275.3.1966.PubMedGoogle Scholar
- Kawano K: Thirty years of cassava breeding for productivity - biological and social factors for success. Crop Sci. 2003, 43: 1325-1335.Google Scholar
- Fauquet CM, Tohme J: The global cassava partnership for genetic improvement. Plant Mol Biol. 2004, 56 (4): v-x. 10.1007/s11103-004-0157-7.PubMedGoogle Scholar
- Pauls KP: Plant biotechnology for crop improvement. Biotechnol Adv. 1995, 13 (4): 673-693. 10.1016/0734-9750(95)02010-1.PubMedGoogle Scholar
- Jorge V, Fregene M, Vélez C, Duque M, Tohme J, Verdier V: QTL analysis of field resistance to Xanthomonas axonopidis pv. manihotis in cassava. Theor Appl Genet. 2001, 102: 564-571. 10.1007/s001220051683.Google Scholar
- Anderson JV, Delseny M, Fregene MA, Jorge V, Mba C, Lopez C, Restrepo S, Soto M, Piegu B, Verdier V, Cooke R, Tohme J, Horvath DP: An EST resource for cassava and other species of Euphorbiaceae. Plant Mol Biol. 2004, 56 (4): 527-539. 10.1007/s11103-004-5046-6.PubMedGoogle Scholar
- Waterhouse PM, Helliwell CA: Exploring plant genomes by RNA-induced gene silencing. Nat Rev Genet. 2003, 4 (1): 29-38. 10.1038/nrg982.PubMedGoogle Scholar
- Siritunga D, Sayre RT: Generation of cyanogen-free transgenic cassava. Planta. 2003, 217 (3): 367-373. 10.1007/s00425-003-1005-8.PubMedGoogle Scholar
- Jorgensen K, Bak S, Busk PK, Sorensen C, Olsen CE, Puonti-Kaerlas J, Moller BL: Cassava plants with a depleted cyanogenic glucoside content in leaves and tubers. Distribution of cyanogenic glucosides, their site of synthesis and transport, and blockage of the biosynthesis by RNA interference technology. Plant Physiol. 2005, 139 (1): 363-374. 10.1104/pp.105.065904.PubMedPubMed CentralGoogle Scholar
- Luo M, Dang P, He G, Holbrook C, Bausher M, Lee R: Generation of expressed sequence tags (ESTs) for gene discovery and marker development in cultivated peanut. Crop Sci. 2005, 45: 343-356.Google Scholar
- Lopez C, Jorge V, Piegu B, Mba C, Cortes D, Restrepo S, Soto M, Laudie M, Berger C, Cooke R, Delseny M, Tohme J, Verdier V: A unigene catalogue of 5700 expressed genes in cassava. Plant Mol Biol. 2004, 56 (4): 541-554. 10.1007/s11103-004-0123-4.PubMedGoogle Scholar
- dbEST. [http://www.ncbi.nlm.nih.gov/dbEST/]
- Seki M, Satou M, Sakurai T, Akiyama K, Iida K, Ishida J, Nakajima M, Enju A, Narusaka M, Fujita M, Oono Y, Kamei A, Yamaguchi-Shinozaki K, Shinozaki K: RIKEN Arabidopsis full-length (RAFL) cDNA and its applications for expression profiling under abiotic stress conditions. J Exp Bot. 2004, 55 (395): 213-223. 10.1093/jxb/erh007.PubMedGoogle Scholar
- Zavolan M, van Nimwegen E, Gaasterland T: Splice variation in mouse full-length cDNAs identified by mapping to the mouse genome. Genome Res. 2002, 12 (9): 1377-1385. 10.1101/gr.191702.PubMedPubMed CentralGoogle Scholar
- Ogihara Y, Mochida K, Kawaura K, Murai K, Seki M, Kamiya A, Shinozaki K, Carninci P, Hayashizaki Y, Shin IT, Kohara Y, Yamazaki Y: Construction of a full-length cDNA library from young spikelets of hexaploid wheat and its characterization by large-scale sequencing of expressed sequence tags. Genes Genet Syst. 2004, 79 (4): 227-232. 10.1266/ggs.79.227.PubMedGoogle Scholar
- Alexandrov NN, Troukhan ME, Brover VV, Tatarinova T, Flavell RB, Feldmann KA: Features of Arabidopsis genes and genome discovered using full-length cDNAs. Plant Mol Biol. 2006, 60 (1): 69-85. 10.1007/s11103-005-2564-9.PubMedGoogle Scholar
- Seki M, Narusaka M, Kamiya A, Ishida J, Satou M, Sakurai T, Nakajima M, Enju A, Akiyama K, Oono Y, Muramatsu M, Hayashizaki Y, Kawai J, Carninci P, Itoh M, Ishii Y, Arakawa T, Shibata K, Shinagawa A, Shinozaki K: Functional annotation of a full-length Arabidopsis cDNA collection. Science. 2002, 296 (5565): 141-145. 10.1126/science.1071006.PubMedGoogle Scholar
- Cortés D, Reilly K, Okogbenin J, Beeching JR, Iglesias C, Tohme J: Mapping wound-response genes involved in post-harvest physiological deterioration (PPD) of cassava (Manhiot esculenta Crantz). Euphytica. 2002, 128: 47-53. 10.1023/A:1020695719706.Google Scholar
- Seki M, Narusaka M, Abe H, Kasuga M, Yamaguchi-Shinozaki K, Carninci P, Hayashizaki Y, Shinozaki K: Monitoring the expression pattern of 1300 Arabidopsis genes under drought and cold stresses by using a full-length cDNA microarray. Plant Cell. 2001, 13 (1): 61-72. 10.1105/tpc.13.1.61.PubMedPubMed CentralGoogle Scholar
- Djerbi S, Lindskog M, Arvestad L, Sterky F, Teeri TT: The genome sequence of black cottonwood (Populus trichocarpa) reveals 18 conserved cellulose synthase (CesA) genes. Planta. 2005, 221 (5): 739-746. 10.1007/s00425-005-1498-4.PubMedGoogle Scholar
- Koonin EV: Orthologs, paralogs, and evolutionary genomics. Annu Rev Genet. 2005, 39: 309-338. 10.1146/annurev.genet.39.073003.114725.PubMedGoogle Scholar
- Nassar NM: Cassava, Manihot esculenta Crantz, genetic resources: origin of the crop, its evolution and relationships with wild relatives. Genet Mol Res. 2002, 1 (4): 298-305.PubMedGoogle Scholar
- RIKEN Bioresource Center. [http://www.brc.riken.go.jp/lab/epd/Eng/]
- Wang JP, Lindsay BG, Leebens-Mack J, Cui L, Wall K, Miller WC, dePamphilis CW: EST clustering error evaluation and correction. Bioinformatics. 2004, 20 (17): 2973-2984. 10.1093/bioinformatics/bth342.PubMedGoogle Scholar
- Wang JP, Lindsay BG, Cui L, Wall PK, Marion J, Zhang J, dePamphilis CW: Gene capture prediction and overlap estimation in EST sequencing from one or multiple libraries. BMC Bioinformatics. 2005, 6: 300-10.1186/1471-2105-6-300.PubMedPubMed CentralGoogle Scholar
- Harris MA, Clark J, Ireland A, Lomax J, Ashburner M, Foulger R, Eilbeck K, Lewis S, Marshall B, Mungall C, Richter J, Rubin GM, Blake JA, Bult C, Dolan M, Drabkin H, Eppig JT, Hill DP, Ni L, Ringwald M, Balakrishnan R, Cherry JM, Christie KR, Costanzo MC, Dwight SS, Engel S, Fisk DG, Hirschman JE, Hong EL, Nash RS, Sethuraman A, Theesfeld CL, Botstein D, Dolinski K, Feierbach B, Berardini T, Mundodi S, Rhee SY, Apweiler R, Barrell D, Camon E, Dimmer E, Lee V, Chisholm R, Gaudet P, Kibbe W, Kishore R, Schwarz EM, Sternberg P, Gwinn M, Hannick L, Wortman J, Berriman M, Wood V, de la Cruz N, Tonellato P, Jaiswal P, Seigfried T, White R: The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004, 32 (Database issue): D258-61.PubMedGoogle Scholar
- Kanehisa M, Goto S, Hattori M, Aoki-Kinoshita KF, Itoh M, Kawashima S, Katayama T, Araki M, Hirakawa M: From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res. 2006, 34 (Database issue): D354-7. 10.1093/nar/gkj102.PubMedPubMed CentralGoogle Scholar
- Kanehisa M, Goto S: KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28 (1): 27-30. 10.1093/nar/28.1.27.PubMedPubMed CentralGoogle Scholar
- Martin C, Smith AM: Starch biosynthesis. Plant Cell. 1995, 7 (7): 971-985. 10.1105/tpc.7.7.971.PubMedPubMed CentralGoogle Scholar
- Sharopova N, McMullen MD, Schultz L, Schroeder S, Sanchez-Villeda H, Gardiner J, Bergstrom D, Houchins K, Melia-Hancock S, Musket T, Duru N, Polacco M, Edwards K, Ruff T, Register JC, Brouwer C, Thompson R, Velasco R, Chin E, Lee M, Woodman-Clikeman W, Long MJ, Liscum E, Cone K, Davis G, Coe EH: Development and mapping of SSR markers for maize. Plant Mol Biol. 2002, 48 (5-6): 463-481. 10.1023/A:1014868625533.PubMedGoogle Scholar
- Barker G, Batley J, H OS, Edwards KJ, Edwards D: Redundancy based detection of sequence polymorphisms in expressed sequence tag data using autoSNP. Bioinformatics. 2003, 19 (3): 421-422. 10.1093/bioinformatics/btf881.PubMedGoogle Scholar
- Schupp N, Ziegler P: The relation of starch phosphorylases to starch metabolism in wheat. Plant Cell Physiol. 2004, 45 (10): 1471-1484. 10.1093/pcp/pch170.PubMedGoogle Scholar
- Hubbard NL, Pharr DM, Huber SC: Role of sucrose phosphate synthase in sucrose biosynthesis in ripening bananas and its relationship to the respiratory climacteric. Plant Physiol. 1990, 94 (1): 201-208.PubMedPubMed CentralGoogle Scholar
- Dixon RA, Paiva NL: Stress-Induced Phenylpropanoid Metabolism. Plant Cell. 1995, 7 (7): 1085-1097. 10.1105/tpc.7.7.1085.PubMedPubMed CentralGoogle Scholar
- Xiong L, Zhu JK: Abiotic stress signal transduction in plants: Molecular and genetic perspectives. Physiol Plant. 2001, 112 (2): 152-166. 10.1034/j.1399-3054.2001.1120202.x.PubMedGoogle Scholar
- Belknap WR, Garbarino JE: The role of ubiquitin in plant senescence and stress responses. Trends plant sci. 1996, 1 (10): 331-335.Google Scholar
- Alves AAC, Setter TL: Abscisic acid accumulation and osmotic adjustment in cassava under water deficit. Environmental and experimental botany. 2004, v. 51, issue 3: 259-271. 10.1016/j.envexpbot.2003.11.005.Google Scholar
- Li XP, Bjorkman O, Shih C, Grossman AR, Rosenquist M, Jansson S, Niyogi KK: A pigment-binding protein essential for regulation of photosynthetic light harvesting. Nature. 2000, 403 (6768): 391-395. 10.1038/35000131.PubMedGoogle Scholar
- Karin M: Mitogen-activated protein kinase cascades as regulators of stress responses. Ann N Y Acad Sci. 1998, 851: 139-146. 10.1111/j.1749-6632.1998.tb08987.x.PubMedGoogle Scholar
- Kawai J, Shinagawa A, Shibata K, Yoshino M, Itoh M, Ishii Y, Arakawa T, Hara A, Fukunishi Y, Konno H, Adachi J, Fukuda S, Aizawa K, Izawa M, Nishi K, Kiyosawa H, Kondo S, Yamanaka I, Saito T, Okazaki Y, Gojobori T, Bono H, Kasukawa T, Saito R, Kadota K, Matsuda H, Ashburner M, Batalov S, Casavant T, Fleischmann W, Gaasterland T, Gissi C, King B, Kochiwa H, Kuehl P, Lewis S, Matsuo Y, Nikaido I, Pesole G, Quackenbush J, Schriml LM, Staubli F, Suzuki R, Tomita M, Wagner L, Washio T, Sakai K, Okido T, Furuno M, Aono H, Baldarelli R, Barsh G, Blake J, Boffelli D, Bojunga N, Carninci P, de Bonaldo MF, Brownstein MJ, Bult C, Fletcher C, Fujita M, Gariboldi M, Gustincich S, Hill D, Hofmann M, Hume DA, Kamiya M, Lee NH, Lyons P, Marchionni L, Mashima J, Mazzarelli J, Mombaerts P, Nordone P, Ring B, Ringwald M, Rodriguez I, Sakamoto N, Sasaki H, Sato K, Schonbach C, Seya T, Shibata Y, Storch KF, Suzuki H, Toyo-oka K, Wang KH, Weitz C, Whittaker C, Wilming L, Wynshaw-Boris A, Yoshida K, Hasegawa Y, Kawaji H, Kohtsuki S, Hayashizaki Y: Functional annotation of a full-length mouse cDNA collection. Nature. 2001, 409 (6821): 685-690. 10.1038/35055500.PubMedGoogle Scholar
- Vandepoele K, Vlieghe K, Florquin K, Hennig L, Beemster GT, Gruissem W, Van de Peer Y, Inze D, De Veylder L: Genome-wide identification of potential plant E2F target genes. Plant Physiol. 2005, 139 (1): 316-328. 10.1104/pp.105.066290.PubMedPubMed CentralGoogle Scholar
- Jia J, Fu J, Zheng J, Zhou X, Huai J, Wang J, Wang M, Zhang Y, Chen X, Zhang J, Zhao J, Su Z, Lv Y, Wang G: Annotation and expression profile analysis of 2073 full-length cDNAs from stress-induced maize (Zea mays L.) seedlings. Plant J. 2006, 48 (5): 710-727. 10.1111/j.1365-313X.2006.02905.x.PubMedGoogle Scholar
- Rhoades MW, Reinhart BJ, Lim LP, Burge CB, Bartel B, Bartel DP: Prediction of plant microRNA targets. Cell. 2002, 110 (4): 513-520. 10.1016/S0092-8674(02)00863-2.PubMedGoogle Scholar
- Joshi T, Xu D: Quantitative assessment of relationship between sequence similarity and function similarity. BMC Genomics. 2007, 8: 222-10.1186/1471-2164-8-222.PubMedPubMed CentralGoogle Scholar
- Wilson CA, Kreychman J, Gerstein M: Assessing annotation transfer for genomics: quantifying the relations between protein sequence, structure and function through traditional and probabilistic scores. J Mol Biol. 2000, 297 (1): 233-249. 10.1006/jmbi.2000.3550.PubMedGoogle Scholar
- Iglesias C, Mayer J, Chavez L, Calle F: Genetic potential and stability of carotene content in cassava roots. Euphytica. 1997, 94: 367-373. 10.1023/A:1002962108315.Google Scholar
- Demirbas A: Ethanol from cellulosic biomass resources. Int J Green Energy. 2004, 1 (1): 79-87. 10.1081/GE-120027885.Google Scholar
- Ihemere U, Arias-Garzon D, Lawrence S, Sayre R: Genetic modification of cassava for enhanced starch production. Plant Biotechnol J. 2006, 4 (4): 453-465. 10.1111/j.1467-7652.2006.00195.x.PubMedGoogle Scholar
- International.Rice.Genome.Sequencing.Project: The map-based sequence of the rice genome. Nature. 2005, 436 (7052): 793-800. 10.1038/nature03895.Google Scholar
- The.Arabidopsis.Initiative: Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000, 408 (6814): 796-815. 10.1038/35048692.Google Scholar
- Kellis M, Patterson N, Birren B, Berger B, Lander ES: Methods in comparative genomics: genome correspondence, gene identification and regulatory motif discovery. J Comput Biol. 2004, 11 (2-3): 319-355. 10.1089/1066527041410319.PubMedGoogle Scholar
- Wall DP, Fraser HB, Hirsh AE: Detecting putative orthologs. Bioinformatics. 2003, 19 (13): 1710-1711. 10.1093/bioinformatics/btg213.PubMedGoogle Scholar
- Dat JF, Lopez-Delgado H, Foyer CH, Scott IM: Parallel changes in H2O2 and catalase during thermotolerance induced by salicylic acid or heat acclimation in mustard seedlings. Plant Physiol. 1998, 116 (4): 1351-1357. 10.1104/pp.116.4.1351.PubMedPubMed CentralGoogle Scholar
- Wang W, Vinocur B, Altman A: Plant responses to drought, salinity and extreme temperatures: towards genetic engineering for stress tolerance. Planta. 2003, 218 (1): 1-14. 10.1007/s00425-003-1105-5.PubMedGoogle Scholar
- Ezaki B, Gardner RC, Ezaki Y, Matsumoto H: Expression of aluminum-induced genes in transgenic Arabidopsis plants can ameliorate aluminum stress and/or oxidative stress. Plant Physiol. 2000, 122 (3): 657-665. 10.1104/pp.122.3.657.PubMedPubMed CentralGoogle Scholar
- Reilly K, Gomez-Vasquez R, Buschmann H, Tohme J, Beeching JR: Oxidative stress responses during cassava post-harvest physiological deterioration. Plant Mol Biol. 2004, 56 (4): 625-641. 10.1007/s11103-005-2271-6.PubMedGoogle Scholar
- Bhattacharjee S: Reactive oxygen species and oxidative burst: roles in stress, senescence and signal transduction in plants. Curr Sci. 2005, 89 (7): 1113-1121.Google Scholar
- Mittler R: Oxidative stress, antioxidants and stress tolerance. Trends Plant Sci. 2002, 7 (9): 405-410. 10.1016/S1360-1385(02)02312-9.PubMedGoogle Scholar
- Jiang M, Zhang J: Effect of abscisic acid on active oxygen species, antioxidative defence system and oxidative damage in leaves of maize seedlings. Plant Cell Physiol. 2001, 42 (11): 1265-1273. 10.1093/pcp/pce162.PubMedGoogle Scholar
- Kovtun Y, Chiu WL, Tena G, Sheen J: Functional analysis of oxidative stress-activated mitogen-activated protein kinase cascade in plants. Proc Natl Acad Sci U S A. 2000, 97 (6): 2940-2945. 10.1073/pnas.97.6.2940.PubMedPubMed CentralGoogle Scholar
- Mittler R, Vanderauwera S, Gollery M, Van Breusegem F: Reactive oxygen gene network of plants. Trends Plant Sci. 2004, 9 (10): 490-498. 10.1016/j.tplants.2004.08.009.PubMedGoogle Scholar
- Leterrier M, Corpas FJ, Barroso JB, Sandalio LM, del Rio LA: Peroxisomal monodehydroascorbate reductase. Genomic clone characterization and functional analysis under environmental stress conditions. Plant Physiol. 2005, 138 (4): 2111-2123. 10.1104/pp.105.066225.PubMedPubMed CentralGoogle Scholar
- Palatnik JF, Valle EM, Carrillo N: Oxidative stress causes ferredoxin-NADP+ reductase solubilization from the thylakoid membranes in methyl viologen-treated plants. Plant Physiol. 1997, 115 (4): 1721-1727. 10.1104/pp.115.4.1721.PubMedPubMed CentralGoogle Scholar
- Serrato AJ, Perez-Ruiz JM, Spinola MC, Cejudo FJ: A novel NADPH thioredoxin reductase, localized in the chloroplast, which deficiency causes hypersensitivity to abiotic stress in Arabidopsis thaliana. J Biol Chem. 2004, 279 (42): 43821-43827. 10.1074/jbc.M404696200.PubMedGoogle Scholar
- Rouhier N, Gelhaye E, Jacquot JP: Plant glutaredoxins: still mysterious reducing systems. Cell Mol Life Sci. 2004, 61 (11): 1266-1277. 10.1007/s00018-004-3410-y.PubMedGoogle Scholar
- Rouhier N, Couturier J, Jacquot JP: Genome-wide analysis of plant glutaredoxin systems. J Exp Bot. 2006, 57 (8): 1685-1696. 10.1093/jxb/erl001.PubMedGoogle Scholar
- Gelhaye E, Rouhier N, Jacquot JP: The thioredoxin h system of higher plants. Plant Physiol Biochem. 2004, 42 (4): 265-271. 10.1016/j.plaphy.2004.03.002.PubMedGoogle Scholar
- May MJ, Vernoux T, Leaver C, Montagu M, Inze D: Glutathione homeostasis in plants: implications for environmental sensing and plant development. J exp bot. 1998, 49 (321): 649-667. 10.1093/jexbot/49.321.649.Google Scholar
- Komives T, Gullner G, Király Z: Role of glutathione and glutathione-related enzymes in response of plants to environmental stress. Ann NY Acad Sci. 1998, 851: 251-258. 10.1111/j.1749-6632.1998.tb09000.x.Google Scholar
- Nassar NM: Cytogenetics and evolution of cassava (Manihot esculenta Crantz). Gen Mol Bio. 2000, 23 (4): 1003-1014.Google Scholar
- Adams KL, Wendel JF: Polyploidy and genome evolution in plants. Curr Opin Plant Biol. 2005, 8 (2): 135-141. 10.1016/j.pbi.2005.01.001.PubMedGoogle Scholar
- Chang S, Puryear J, Cairney J: A simple and efficient method for isolating RNA from pine trees. Plant Mol Biol Rep ISPMB. 1993, 11 (2): 113-116.Google Scholar
- Carninci P, Shibata Y, Hayatsu N, Itoh M, Shiraki T, Hirozane T, Watahiki A, Shibata K, Konno H, Muramatsu M, Hayashizaki Y: Balanced-size and long-size cloning of full-length, cap-trapped cDNAs into vectors of the novel lambda-FLC family allows enhanced gene discovery rate and functional analysis. Genomics. 2001, 77 (1-2): 79-90. 10.1006/geno.2001.6601.PubMedGoogle Scholar
- Dean FB, Nelson JR, Giesler TL, Lasken RS: Rapid amplification of plasmid and phage DNA using Phi 29 DNA polymerase and multiply-primed rolling circle amplification. Genome Res. 2001, 11 (6): 1095-1099. 10.1101/gr.180501.PubMedPubMed CentralGoogle Scholar
- Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8 (3): 175-185.PubMedGoogle Scholar
- Florea L, Hartzell G, Zhang Z, Rubin GM, Miller W: A computer program for aligning a cDNA sequence with a genomic DNA sequence. Genome Res. 1998, 8 (9): 967-974.PubMedPubMed CentralGoogle Scholar
- Huang X, Madan A: CAP3: A DNA sequence assembly program. Genome Res. 1999, 9 (9): 868-877. 10.1101/gr.9.9.868.PubMedPubMed CentralGoogle Scholar
- Trace Archive. [http://www.ncbi.nlm.nih.gov/Traces/trace.cgi]
- Pearson WR, Wood T, Zhang Z, Miller W: Comparison of DNA sequences with protein sequences. Genomics. 1997, 46 (1): 24-36. 10.1006/geno.1997.4995.PubMedGoogle Scholar
- Camon E, Magrane M, Barrell D, Lee V, Dimmer E, Maslen J, Binns D, Harte N, Lopez R, Apweiler R: The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology. Nucleic Acids Res. 2004, 32 (Database issue): D262-6. 10.1093/nar/gkh021.PubMedPubMed CentralGoogle Scholar
- Rhee SY, Beavis W, Berardini TZ, Chen G, Dixon D, Doyle A, Garcia-Hernandez M, Huala E, Lander G, Montoya M, Miller N, Mueller LA, Mundodi S, Reiser L, Tacklind J, Weems DC, Wu Y, Xu I, Yoo D, Yoon J, Zhang P: The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community. Nucleic Acids Res. 2003, 31 (1): 224-228. 10.1093/nar/gkg076.PubMedGoogle Scholar
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.PubMedPubMed CentralGoogle Scholar
- Schuler GD: Sequence mapping by electronic PCR. Genome Res. 1997, 7 (5): 541-550.PubMedPubMed CentralGoogle Scholar
- Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol. 2000, 132: 365-386.PubMedGoogle Scholar
- Kaderali L, Deshpande A, Nolan JP, White PS: Primer-design for multiplexed genotyping. Nucleic Acids Res. 2003, 31 (6): 1796-1802. 10.1093/nar/gkg267.PubMedPubMed CentralGoogle Scholar
- Smit A, Hubley R, Green P: RepeatMasker Open-3.0. 1996, [http://www.repeatmasker.org]Google Scholar
- Majoros WH, Pertea M, Salzberg SL: TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics. 2004, 20 (16): 2878-2879. 10.1093/bioinformatics/bth315.PubMedGoogle Scholar
- Overbeek R, Fonstein M, D'Souza M, Pusch GD, Maltsev N: The use of gene clusters to infer functional coupling. Proc Natl Acad Sci U S A. 1999, 96 (6): 2896-2901. 10.1073/pnas.96.6.2896.PubMedPubMed CentralGoogle Scholar
- Ye J, Fang L, Zheng H, Zhang Y, Chen J, Zhang Z, Wang J, Li S, Li R, Bolund L, Wang J: WEGO: a web tool for plotting GO annotations. Nucleic Acids Res. 2006, 34 (Web Server issue): W293-7. 10.1093/nar/gkl031.PubMedPubMed CentralGoogle Scholar
- Vranova E, Inze D, Van Breusegem F: Signal transduction during oxidative stress. J Exp Bot. 2002, 53 (372): 1227-1236. 10.1093/jexbot/53.372.1227.PubMedGoogle Scholar
- JGI Populus Trichocarpa v1.1. [http://genome.jgi-psf.org/Poptr1_1/]
- The Arabidopsis Information Resource. [http://www.arabidopsis.org]
- TIGR Rice Genome Annotation. [http://www.tigr.org/tdb/e2k1/osa1/]
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