Generation and analysis of ESTs from strawberry (Fragaria xananassa) fruits and evaluation of their utility in genetic and molecular studies
© Bombarely et al; licensee BioMed Central Ltd. 2010
Received: 12 February 2010
Accepted: 17 September 2010
Published: 17 September 2010
Cultivated strawberry is a hybrid octoploid species (Fragaria xananassa Duchesne ex. Rozier) whose fruit is highly appreciated due to its organoleptic properties and health benefits. Despite recent studies on the control of its growth and ripening processes, information about the role played by different hormones on these processes remains elusive. Further advancement of this knowledge is hampered by the limited sequence information on genes from this species, despite the abundant information available on genes from the wild diploid relative Fragaria vesca. However, the diploid species, or one ancestor, only partially contributes to the genome of the cultivated octoploid. We have produced a collection of expressed sequence tags (ESTs) from different cDNA libraries prepared from different fruit parts and developmental stages. The collection has been analysed and the sequence information used to explore the involvement of different hormones in fruit developmental processes, and for the comparison of transcripts in the receptacle of ripe fruits of diploid and octoploid species. The study is particularly important since the commercial fruit is indeed an enlarged flower receptacle with the true fruits, the achenes, on the surface and connected through a network of vascular vessels to the central pith.
We have sequenced over 4,500 ESTs from Fragaria xananassa, thus doubling the number of ESTs available in the GenBank of this species. We then assembled this information together with that available from F. xananassa resulting a total of 7,096 unigenes. The identification of SSRs and SNPs in many of the ESTs allowed their conversion into functional molecular markers. The availability of libraries prepared from green growing fruits has allowed the cloning of cDNAs encoding for genes of auxin, ethylene and brassinosteroid signalling processes, followed by expression studies in selected fruit parts and developmental stages. In addition, the sequence information generated in the project, jointly with previous information on sequences from both F. xananassa and F. vesca, has allowed designing an oligo-based microarray that has been used to compare the transcriptome of the ripe receptacle of the diploid and octoploid species. Comparison of the transcriptomes, grouping the genes by biological processes, points to differences being quantitative rather than qualitative.
The present study generates essential knowledge and molecular tools that will be useful in improving investigations at the molecular level in cultivated strawberry (F. xananassa). This knowledge is likely to provide useful resources in the ongoing breeding programs. The sequence information has already allowed the development of molecular markers that have been applied to germplasm characterization and could be eventually used in QTL analysis. Massive transcription analysis can be of utility to target specific genes to be further studied, by their involvement in the different plant developmental processes.
Strawberry (Fragaria xananassa Duchesne ex. Rozier) is one of the most important berry crops in the world; in 2008 its production was approximately 4 million metric tons . The benefits that strawberry fruit consumption has on cardiovascular, neurodegenerative, and other diseases like aging, obesity, and cancer has been a subject of increased study over recent years . The strawberry belongs to the family Rosaceae in the genus Fragaria. There are four basic fertility groups in Fragaria that are associated primarily with their ploidy level or chromosome number. The most common native species, F. vesca L., has 14 chromosomes and it is considered to be a diploid and proposed as model for the genus . The most important cultivated strawberry is a perennial and herbaceous octoploid plant, with fifty six chromosomes (2n = 8× = 56), that stems from the cross of the octoploids F. virginiana Duchesne from eastern North America, which was noted for its fine flavour, and F. chiloensis (L.) Mill. from Chile, noted for its large size . Numerous varieties of strawberries have been developed in the temperate zones of the world by different breeding programs.
Strawberry has been considered a non-climacteric fruit, since there is no concomitant burst of respiration and production of the hormone ethylene that triggers the ripening process [4, 5]. The berry results from the development of the flower receptacle that consists of a pith at the centre, a fleshy cortex, an epidermis, and a ring of vascular bundles with branches leading to the achenes, the true fruits. Each achene contains a single seed and a hard pericarp. The achenes are attached to the receptacle by vascular strands. When classifying the strawberry as non-climacteric, no distinction was made between the receptacle and the achenes. Growth and ripening of strawberry fruits is an important field of research, which includes the role played by hormones, the synthesis of anthocyanins and flavour compounds, and the cell wall changes occurring during the late stages of ripening. It is reasonable to think that those changes that are important for fruit quality, like anthocyanins and flavour content, as well as fruit softening, mostly rest on the receptacle, whereas hormone control of the process might be supported by the achenes. Therefore, the generation of tools to distinguish the functional roles of these two parts in the growth and ripening of the whole berry is important.
The hormone auxin, which is supplied by the achenes, is considered as a key regulator of growth and ripening. Removal the achenes from the receptacle has different effects depending on the developmental stage. In the early green stage it stops receptacle growth, whereas in the late green and white stages it accelerates ripening . Interestingly, both effects are suppressed by the exogenous application of auxin restoring normal development , . Therefore the role of ethylene in fruit ripening has been considered as negligible. Recently, however, it has been reported that the achenes of red fruits produce ethylene at low concentrations, although its role in fruit ripening is unclear .
Genes related to biochemical processes and metabolites, such as the health promoting metabolites anthocyanin  and vitamin C , with important roles in modulating fruit quality have been studied. The aroma, an important criterion defining strawberry quality is dependent on more than 360 volatile compounds, many of them esters, whose synthesis is dependent on the strawberry alcohol acyltransferase (SAAT) activity encoded by the FaSAAT gene . Of all the volatiles, furaneol (HDMF) is the main one responsible of the aroma of the strawberry fruit . The genes of two enzymes related to the biosynthesis of HDMF have been cloned , . Due to the importance of the cell wall in the integrity of the strawberry fruit, genes encoding for cell wall modifying enzymes have been analysed, including expansins , cellulases , beta-galactosidase , pectate lyases , , and pectinmethylesterases , .
Despite all the previous molecular studies, including a recent report on metabolic changes during fruit growth and ripening , information on regulatory genes involved in the strawberry fruit development is still scarce. The development of genomic tools will, no doubt, constitute important input that will facilitate strawberry research. In recent years molecular markers for this species have been developed , , and microarray gene expression experiments during fruit ripening , , and in relation to fruit firmness have been reported .
One of the most useful tools in the gene discovery, and further assignment of function, is the availability of expressed sequence tags (ESTs). These sequences stem from cDNA libraries constructed from different tissues and organs, under different environmental conditions and stages of development, so they represent a broad set of expressed genes. ESTs collections have been used in gene expression studies  and to saturate genetic maps with simple sequence repeats (EST-SSRs)  or single nucleotide polymorphisms (SNPs) . They also allow the identification of miRNA precursors and targets , and massive transcriptome analysis using microarrays , . At present there are more than 50 million ESTs in the GenBank database, a quarter of which are from plants. Although fruit crops have been less studied than other plants like Arabidopsis, rice, soybean, maize or pine, there is a significant number of ESTs obtained from fruits like tomato , grape , apple , citrus  and melon .
In this report we have analysed around 10,000 ESTs from F. xananassa, 4,600 of which originated from our own sequencing project, and 5,400 are from the GenBank database. These ESTs have been processed, clustered, annotated and classified into different functional categories. We have searched for SSRs and SNPs in the ESTs set in order to evaluate their potential in marker-assisted breeding programs. Creation of a gene index  and comparisons with other species enabled the conclusion that the highest average sequence identity was with the wild diploid relative F. vesca, up to a value of 93.27% between sequences of orthologous genes. Expression studies of selected ESTs using QRT-PCR allowed investigating on the possible involvement of hormones like auxin, ethylene, and brassinosteroid in strawberry fruit ripening. In addition, the set of non-redundant sequences from F. xananassa jointly with an equivalent number of sequences from F. vesca has been used to design and perform a microarrays-based expression studies in ripe receptacle of these two species.
EST Sequencing and Clustering
Description on cDNA libraries
Green fruit receptacle
Green fruit achenes
Subtracted red/green fruit
Subtracted red/green fruit
Red fruit treated with ethylene
Whole plant treated 24 h with 1 mM SA
Red fruit receptacle
Leaves infected with Colletotrichum
ESTs information and clustering.
537 ± 107
549 ± 179
609 ± 186
484 ± 155
343 ± 68
(619.74 ± 195.83)
(491.25 ± 195.83)
359 ± 175
612 ± 150
385 ± 158
Contigs made up of more than 15 ESTs
Metallothionein-like Protein related cluster
Pru2 proteinprecursor related cluster
Pru2 Protein precursor related cluster
Pru2 protein precursor related cluster
Putative oxidoreductase related cluster
Ethylene-forming- enzyme-like dioxygenase
Prunin precursor related cluster
Metallothionein-like protein type 2 MET1
Putative aldo/keto reductase related cluster
No significant similarity found
HyPRP related cluster
Calmodulin 2/3/5 related cluster
Translationally controlled tumor protein
Lipid transfer protein Precursor
G protein-coupled receptor-like protein
Plasma membrane intrinsic protein
Putative 70 kDa peptidylprolyl isomerase
Arabidopsis low temperature and salt responsive protein
Annotation of strawberry unigenes
Fragaria xananassa dataset
Chimera analysis using TAIR blastX
GenBank blastX (e-value < 1e-10)
GenBank blastX (e-value < 1e-100)
InterProScan (Domain Databases)
GO Terms associated
EC number associated
Unigenes with annotation
Sequence analyses allowed the identification of genes involved in metabolic and regulatory processes of fruit ripening
Genes involved in metabolic and regulatory processes relevant for the ripening of the strawberry fruit
Fatty Acid Biosynthesis
Overall comparison of F. xananassa sequences with other species. Gene Index
Global homology comparison between sequences of different species
Unigenes of X species with
high homology to strawberry
Unigenes of strawberry with
high homology to X species
Average identity for
Malus x domestica
The average identity was calculated after the alignments of these putative orthologous sequences from different species with the F. xananassa sequences (Table 6, column 4). As expected, the highest value was for F. vesca reaching the 93.27 percent, as the genome of this species probably shares a common ancestor with F. xananassa. The order of the species in this column reflects the taxonomic proximity with close relatives, having Rosa hybrid, Prunus and Malus the highest values. However, this is not an analysis of phylogeny, but the result of the multiple alignments of sequences available in the databases for the different species. Therefore, it is not possible to gain taxonomic information from the results here presented on species out of the Rosaceae family (Table 6, column 4)
Actual polymorphisms evaluation inside the EST collection
Simple sequence repeats (SSRs) statistics
Number of di-pSSR
Number of Tri-pSSR
Number of tetra-pSSR
Number of tetra-pSSR
Of the 1,120 contigs generated in the present study, 242 contained a minimum of two alleles, 128 of them with potential SNPs. In these contigs the changes corresponded to 636 potential SNPs and 148 indels. The final number of good quality true-SNPs was 372, 192 of them were transitions, 124 were transversions, 2 were tri-allelic polymorphisms, and 54 were indels. The frequency of SNP was one every 256 bp, and a mean value of 2.9 SNPs per contig.
Expression analysis of selected genes during fruit ripening
Sequences of genes of hormone biosynthesis and signalling
Gene (or gene family)
AI795146, CO381892, CO381923, CO817276, CO817815, GT150129, CO818125, GT151766, CO816980; GT151867, GT150239, GT150959
CO817481, CO817779, GT150063
CO817274, GT150547 GW402778
GW402649, GT149793 GT148932, GT151848, GT149872
GW402737, CO817183, CO817782, CO817196, CO817932, GT150183, GT150854, CO816657, GT151564
Selected ESTs from hormones signalling pathways
EST (Acc. No.)
Best hit acc. No.
Best hit gene
AUXIN RESPONSE FACTOR
TRANSCRIPTION FACTOR 3
ERF SUBFAMILY B-2 OF
ERF SUBFAMILY B-3 OF
Transcript analysis in red receptacle of F. xananassa and F. vesca
Sequences down-regulated in the receptacle of red fruits of Fragaria xananassa (cv. Camarosa) in comparison to red receptacle of F. vesca, corresponding to the biological process "Response to Stress" using the Blat2go software.
GenBank Acc. No.
Fold change DOWN F. xananassa/F. vesca
small heat shock protein
heat shock protein 18
thaumatin-like protein precursor
heat shock protein 83
heat shock protein
heat shock protein putative
mitochondrial heat shock 22 kd
heat shock protein 17.8
Sequences up-regulated in the receptacle of red fruits of Fragaria xananassa (cv. Camarosa) in comparison to red receptacle of F. vesca, corresponding to the biological process "Regulation of Cellular Processes" according to the Blat2go software.
GenBank Acc. No.
Fold change F. ananassa/F. vesca UP
LRR serine-threonine protein kinase
LRR serine-threonine protein kinase
rac gtp binding protein arac7
serine-threonine protein kinase
serine-threonine protein kinase
type-b response regulator
auxin influx carrier protein
glutamate-gated kainate-type ion channel receptor subunit 5
auxin influx transport protein
brassinosteroid insensitive 1- associated receptor kinase 1
conserved hypothetical protein
two-component system sensor histidine kinase response
conserved hypothetical protein
Sequencing information has produced important data that is being used to investigate both basic and applied aspects of plant growth and development. It is the first step towards a functional genomics, and a basic tool for molecular breeding. However, this information has been mainly generated either in model species or species with great impact in global food supply. Fruits of cultivated strawberry (F. xananassa) are appreciated both as fresh and as processed foods. However, there have been only limited genetic and genomic resources developed in this species due to its growing characteristics and the inherent difficulty of working with an octoploid. Despite this, genetic and genomic information is slowly appearing and recently the first genetic map has been reported . In this work we analyzed more than 10,000 ESTs from F. xananassa, assembled in more than 7,000 unigenes. Half of these sequences proceeded from our own sequencing project; a second set of sequences was obtained from the GenBank dbEST Database.
Regarding the new sequences reported here it is worth emphasizing that they proceed from different fruit parts (achenes and receptacle), at different developmental stages (green and red fruit), and after hormone treatment (ethylene). In addition to the genetic characteristics, difficulties analyzing strawberry fruit growth and ripening arise from the fact that the commercial fruit is not a true fruit but includes an engrossed flower receptacle with the true fruits, the achenes, attached on its surface. Moreover, the development pattern of these two parts of the commercial fruit is not synchronous in that the achenes reach their mature stage much earlier than receptacle  Thus, the sequence information provided in this report specific for achenes and receptacle libraries is highly valuable. This is highlighted by the high number of ESTs encoding prunins in the achene library that is absent in the receptacle library. Similarly a large number of ESTs encoding metallothioneins were identified in the receptacle library with a low number of ESTs in the achene library. Prunins are known as the globulins of the genus Prunus, which comprise the main family of storage proteins synthesized in seeds during embryogenesis . Metallothioneins belong to a family of cysteine-rich, low molecular weight proteins that have the capacity to bind metals through the thiol group of the cysteine residues, which represent nearly 30% of their amino acidic residues. These proteins have been shown to be involved in metal scavenging and detoxification , as well as in biotic and abiotic plant responses , . Their high abundance in green receptacle suggests their important role in this organ.
The gene index analysis of the sequences reflected the genetic proximity of strawberry with other species of Rosaceae. Effectively, Fragaria sp. belongs to the Rosaceae family that includes apple, peach and apricot, and to the Rosaceae supertribe  that includes rose. The highest identity in the alignment was with F. vesca, from the same genus, followed by Rosa hybrida from the same supertribe, and Prunus and Malus from the same family. Previous studies on genomic resources of Fragaria and Rosa have also shown a high level of genetic proximity , . There are more than 50.000 ESTs available from the diploid F. vesca that has been proposed as a model plant for genomic studies. Recent studies have predicted approximately 200 Mb for its genome size  which might facilitate its complete sequencing. However, cultivated strawberry is an octoploid species with at least two genomes involved in its origin; one is thought to be an ancestor of F. vesca or F. manchurica, and the other an ancestor of F. iinumae, or potentially other species .
Overall comparison between the F. vesca and F. xananassa has revealed that only 32.42% of the diploid species had a corresponding putative orthologous gene in the octoploid. A possible explanation for this low value would be that the F. vesca derived subgenome is silenced in F. xananassa, as it has been previously described for specific genes , or even that the donor subgenome could be an ancestor or F. vesca. However, these hypothesis needs further studies since it could also be just a consequence of the different precedence of the EST sequences used in this comparison, mostly from plantlets in F. vesca and from fruits in F. xananassa. In any case, cultivated strawberry still represents a great potential source of alleles that might be important for selected traits, since in other species it has been shown that polyploidization is accompanied by changes in the gene expression, and accordingly in phenotypic variation .
In addition, the strawberry fruit produces some metabolites that are not found in other fruit models, such as tomato. These aspects make the ESTs information provided here valuable since it might eventually be used to probe for specific genes in other species, some of them closely related as some berries of the Rubus genus, like raspberry and blackberry that are classified in the same supertribe of Rosoideae as Fragaria.
SSRs derived from ESTs have been used as functional markers in the generation of maps and in breeding programs. In strawberry, we have previously used some of these markers to study genetic diversity within the species . Based on the high level of identity found with corresponding genes of genetically close species, like those of the Rosaceae family, we foresee their transferability to these species, as other authors have shown , . For this purpose, it is important to indicate that strawberry comparative map reveals a high level of co-linearity between diploid and octoploid Fragaria species . For other species of the Rosaceae family this transferability deserves to be evaluated.
The function played by hormones in the development of strawberry fruits is still an unresolved question. Considered as a non-climacteric fruit, the main role has been attributed to the auxin synthesized in the achenes . A search for genes involved in hormones response was performed. Auxin response factors (ARF) are transcription factors acting on the signalling pathway of this hormone . We have unequivocally identified two of them in the strawberry ESTs Database, FaARF1 and FaARF3. For the FaARF1, the highest homology corresponds to a gene expressed in tomato , and to the Arabidopsis ARF1 gene . FaARF3 has high homology to both ARF3 genes from tomato and Arabidopsis. The strawberry gene FaARF3 is mostly expressed in the receptacle at the white stage. At this stage the content of auxin is decreasing but still high in comparison to red fruits , , and cell expansion determines the final size of the receptacle.
The ethylene binding factors (ERF) constitute a family of transcription factors that were identified by their capacity to bind ethylene-responsive elements (ERE) present as cis-sequences in the ethylene-inducible genes. Further studies revealed that they act as transcriptional activators or repressors of GCC Box-mediated gene expression . In tomato fruits it has been reported that some of them participate in the signalling pathway initiated by ethylene during the ripening of the fruits . In the ESTs collection we have identified three putative ERFs (FaERF1, FaERF2, FaERF3) proceeding from the library prepared from the achenes, and this is consistent with the finding that achenes produced four to ten-fold more ethylene than fruit epidermal peels . Both FaERF1 and FaERF3 have highest expression at the green stage and show high homology with SlERF2 and MdERF1, respectively, involved in tomato and apple fruit ripening. The corresponding Arabidopsis genes for FaEFR1 and FaERF3 belong to the subfamily B-2 (Group VII) . In contrast, the Arabidopsis gene homologous to FaERF2, which shows minor variation, is classified in the subfamily B-3 (Group IX) . The genes in group IX have often been linked in defensive gene expression in response to pathogen infection.
In strawberry there is no information on the content of active brassinosteroid in the ripening fruit. The preferential expression of FaBRI1 in red receptacle suggests an increased concentration of this hormone in this tissue at later stages of ripening. However, a relationship between FaBRI1 expression and an increased concentration is not direct since it is needed to know the expression of other important elements in the brassinosteroid signalling pathway such as BAK1 (BRI1 associated receptor kinase) and BKI1 (inhibitor of the association of BRI1 and BAK1) . BZR1 is a transcription factor  whose cell location depends on its phosphorylation status, mainly controlled by BIN2 . When BZR1 is phosphorylated goes to the nucleus where induces the expression of brassinosteroid dependent genes. Expression of genes FaBZR and FaBIN2 occurs in achenes and receptacle at all stages, but the expression ratio FaBZR/FaBIN2 is higher in the white achene and lower in white receptacle. These expression patterns must be interpreted under the light of the interaction of the encoded proteins as above indicated. In summary, the functional relevance of all these expression studies in terms of the role of hormones in fruit ripening is limited. However, they illustrate the possibility of using the sequence information here reported to initiate the molecular dissection the problem with gene-specific tools.
The database here reported allowed the comparison of the transcriptome in the ripe receptacle of F. xananassa (cv. Camarosa) and the diploid F. vesca. As expected, there are very specific changes in genes related to secondary metabolism (see Additional file 6). However, global analysis revealed that differences in the transcriptomes being more quantitative than qualitative i.e. supported by activation/depletion rather than by gain/loss of biological processes. The two minor differences found in "response to stress", up-regulated in F. vesca, and "regulation of cellular processes", up-regulated in F. xananassa, are probably related to the domestication of the species. Natural environment of the wild F. vesca is more cold climate and high altitude than F. xananassa, and it is probable that its cultivation under temperate conditions triggers the heat stress response. On the other hand, is not surprising that hormone signalling pathways are more efficient in F. xananassa especially those related to auxin action since it has been reported that increasing auxin content in both F. xananassa and F. vesca has the effect of increasing weight and size of fruits . The relevance of these changes here reported deserves further investigation by a deep study of specific genes. This is currently under progress.
We anticipate that the generation of this strawberry gene dataset will be important in further genomic studies of this species. It doubled the number of ESTs available for this species and combined and analysed all the information presently available for the strawberry. The analysis of the information reported and gathered in relation to the cultivated strawberry when compared with the available information on the wild strawberry, the diploid Fragaria vesca, is valuable to establish their genetic relationship. It is an essential source of information for the study of the expression of genes, either by QRT-PCR or by microarray. It will also allow the establishment of few tools for the analysis of metabolic and hormone signalling pathways playing a role in the different developmental processes of this species.
Strawberry plants (F. xananassa Duchesne ex. Rozier) were grown under field conditions in Huelva, in the southwest of Spain. The fruits were sampled at selected developmental stages that we previously established . For the expression studies samples were from receptacle and achenes, separately, from stages of green fruit (green receptacle and green achenes); white fruits: white receptacle and green achenes; and red fruits: red receptacle and brown achenes, of the cultivar Camarosa. The cDNA libraries were prepared from different tissues of the strawberry fruits at various developmental stages. The M1 and M2 libraries were prepared from receptacle and achenes, respectively, of fruits of the cultivar Carisma at the green stage. The C1, and C2, and C3 libraries were prepared from fruits of the cultivar Chandler, being C1 and C3 subtractive libraries. Whereas libraries C1 and C2 were prepared from whole fruits, the C2 library was only from receptacle. The L1 library was prepared from red fruits (receptacle and achenes) of the cultivar Elsanta treated with ethylene.
In the microarray studies, plants of F. xananassa (cv. Camarosa) and F. vesca were cultivated in a greenhouse under natural light conditions in Churriana (Málaga, Spain), and fruits of the two species were sampled during their overlapping growing season.
Construction of cDNA libraries and EST sequencing
For the M1 and M2 libraries achenes were removed from fruits at the green stage and total RNA was extracted separately from the remaining receptacle and the achenes. Total RNA isolation was performed as previously described . Poly(A+) mRNA was purified from total RNA using the 'PolyAtract_mRNA Isolation Systems' kit according to the manufacturer's instruction (Promega). This poly(A+) RNA was used for the construction of the directional cDNA library in the Lambda ZAP Express phage using the 'ZAP Express_ cDNA Synthesis Kit','Gigapack_ III Gold Cloning Kit', and 'Gigapack_ III GoldPackaging Extract' kits according to the manufacturer's instructions (Stratagene, La Jolla, CA).
The C1 subtractive library (red stage versus green stage) was generated from the whole fruit (receptacle and achenes) as previously described . The C2 library was prepared from RNA extracted from whole red strawberry fruits . The C3 library was prepared based in the suppression subtractive hybridization (SSH) . The subtraction (red stage versus green stage) was normalized and prepared, only from receptacle tissue, according the Clontech PCR-Select cDNA Subtraction Kit (BD Biosciences) system. For the L1 library ripe strawberry fruits were exposed to a constant stream of air containing 50 vpm ethylene. RNA was extracted after 2, 4, 24, 48 and 72 hours and also used in a suppressed subtractive hybridisation (SSH, Clontech Inc.) protocol.
Sequencing of the M1 and M2 libraries was performed from the 5'-end of the inserts using the M13 reverse primer by a custom service (Sistemas Genómicos S.L., Spain). The C1, C2, and C3 libraries were sequenced in an ABI PRISM™ 310 de Perkin Elmer by the Central Services of the Universidad de Córdoba. Primers used were T3, T7, M13 forward y M13 reverse when cloned in pBSII, and sp6 when cloned in pGEM-T.
The strawberry EST sequences for the libraries CO3, CO8 and SGBL were obtained from the dbEST database from GenBank. Libraries with less than 100 sequences were placed in the group SGBL (Small GenBank libraries).
EST sequences were cleaned with the seqclean software  using the default parameters. As dataset for fragments of vectors and adaptors the Univec and Univec_core from NCBI were used. To remove contaminants, ColiBank95, an Escherichia coli genome dataset from NCBI, was used. The program was repetitively applied to the sequences in FASTA format until no sequence was excluded. Clustering and creation of the consensus sequences were performed through the TGICL pipeline  with the programs Megablast for clustering and Cap3 for the consensus sequences. Variations on the default parameters in Megablast revealed that the percentage of minimum identity was the only determinant on the final number of clusters. Thus, the parameters established for clustering were: 95 percent for the minimum identity, 40 bp length for the minimum overlapping region, and 20 bp length for maximum non-overlapping extremes. Those sequences from a cluster allowing the establishment of a consensus sequence were included in a contig. In this process, we defined singlets as clustered sequences that could not be included in a consensus sequence and singletons as sequences that were not grouped in a cluster. The unigenes were then the sum of singletons, singlets, and contigs.
The chimera analysis was performed parsing the results of the BlastX of the 5' and 3' extremes (300 nt) of each unigene using TAIR 8 as blast database. Unigenes that presented different blast hits for each extreme not related between them were annotated as putative chimeras.
Functional annotation was performed using the package Blast2Go . Tools of this package were used for BlastX (using GenBank nr as database and 1e-10 as initial cutoff e-value), InterProScan (for protein domain search and signal peptide prediction) and enzyme code and GO term mapping. The functional category analysis was done over biological process GO term distribution at a cutoff level of 3.
The datasets for the comparison with other species were made in the following way: The sequences were downloaded from the dbEST database in GenBank. These sequences were cleaned and clustered in the same way as the strawberry sequences. The homology search between strawberry and these species were made with the program Blastall, and subprogram TblastX, with a threshold e-value of 1e-20.
SSRs and SNPs
The identification and localization of SSRs was accomplished by PERL5 scripts MISA . SSRs were only considered when they contained motifs that were between two and five nucleotides in size and with 2, 3, 4 and 5 repeats for di- tri-tetra- and pentanucleotides, respectively. For SNP location we have used the pipeline QualitySNP  that develops an algorithm to detect reliable SNPs and insertions/deletions in EST data, from diploid and polyploid species. The default parameters were used, i.e. CAP3 similarity of overlap 95%, minimum size of alleles of each SNP 2, length of the low quality region at the 5' end of sequence 30 nucleotides, similarity on one polymorphic site 0.75, similarity on all polymorphic ie sites 0.8, low quality region of 3' side 0.2 (20% of the whole sequence). The weight value of the low quality region 0.5 and the minimal confidence score 2. 2.
Total RNA was extracted from F. xananassa fruits, from receptacle and achenes separatetly, according to the method described by . Two biological and three technical replicates of each were performed for every sample. The RT reaction was done using iScript ™cDNA Synthesis Kit (Bio-Rad, http://www.bio-rad.com) according to the manufacturer's instructions. Expression was analysed by real-time quantitative RT-PCR using iQ™SYBR® Green Supermix sample in an iCycler detection system (Bio-Rad, http://www.bio-rad.com according to the manufacturer's instructions, and gene-specific primers. The results obtained were normalized against FaRIB413 expression that was reported to be constitutive . The primers used in the PCR reactions are indicated in Additional File 6.
Oligo (60 mer length) design for expression analysis was performed by NimbleGen Systems Inc. from 6,349 non redundant sequences of F. xananassahttp://fresa.uco.uma.es/srs71 and 7,734 non redundant sequences of F. vesca (GenBank). A minimum of 7-10 oligo were printed per probe and three blocks were printed per dataset. Samples corresponding to two growing seasons were prepared as high quality double-stranded cDNA which were synthesized from total RNA, extracted from the receptacle of ripe fruit as above described, following the protocol described in the Invitrogen's SuperScript™ Double-Stranded cDNA Synthesis Kit. Samples labeling, hybridization with three probes per target, and data normalization was performed by NimbleGen Systems Inc. according to the procedures described in the expression analysis section http://www.nimblegen.com/.
Data analysis of the microarrays expression studies was performed with the software for gene expression analysis ArrayStar (DNASTAR). The t-test and FDR (Benjamini-Hochberg) for multiple testing corrections were used with a confidence p-value < 0.1, to identify statistically significant differences.
The redundancy between probes of the two species were analysed using BlastN with cutoff value < 1e-100 and a similarity percentage > 90%.
This project was funded by the Spanish Government (Grant No. BIO2007-67509-C02-01.02).
- FAOSTAT. --- Either ISSN or Journal title must be supplied.. [http://faostat.fao.org/site/567/DesktopDefault.aspx]
- Seeram NP: Berry Fruits: Compositional Elements, Biochemical Activities, and the Impact of Their Intake on Human Health, Performance, and Disease. J Agric Food Chem. 2008, 56: 627-62. 10.1021/jf071988k.View ArticleGoogle Scholar
- Hancock JF: Strawberries. 2000, CABIView ArticleGoogle Scholar
- Trainotti L, Pavanello A, Casadoro G: Different ethylene receptors show an increased expression during the ripening of strawberries: does such an increment imply a role for ethylene in the ripening of these non-climacteric fruits?. J Exp Bot. 2005, 56: 2037-2046. 10.1093/jxb/eri202.View ArticleGoogle Scholar
- Iannetta PPM, Laarhoven L, Medina-Escobar N, James EK, McManus MT, Davies HV, Harren FJM: Ethylene and carbon dioxide production by developing strawberries show a correlative pattern that is indicative of ripening climacteric fruit. Physiol Plantarum. 2006, 127: 247-259. 10.1111/j.1399-3054.2006.00656.x.View ArticleGoogle Scholar
- Nitsch JP: Free Auxins and Free Tryptophane in the Strawberry. Plant Physiol. 1995, 30: 33-39. 10.1104/pp.30.1.33.View ArticleGoogle Scholar
- Given NK, Venis MA, Gierson D: Hormonal regulation of ripening in the strawberry, a non-climacteric fruit. Planta. 1988, 174: 402-406. 10.1007/BF00959527.View ArticleGoogle Scholar
- Nitsch JP: Growth and Morphogenesis of the Strawberry as Related to Auxin. Am J Bot. 1950, 57: 211-215. 10.2307/2437903.View ArticleGoogle Scholar
- Halbwirth H, Puhl I, Haas U, Jezik K, Treutter D, Stich K: Two-Phase Flavonoid Formation in Developing Strawberry (Fragaria xananassa) Fruit. J Agric Food Chem. 2006, 54: 1479-1485. 10.1021/jf0524170.View ArticleGoogle Scholar
- Agius F, Gonzalez-Lamothe R, Caballero JL, Muñoz-Blanco J, Botella MA, Valpuesta V: Engineering increased vitamin C levels in plants by overexpression of a D-galacturonic acid reductase. Nat Biotechnol. 2003, 21: 177-181. 10.1038/nbt777.View ArticleGoogle Scholar
- Aharoni A, Keizer LPC, Bouwmeester HJ, Sun Z, Alvarez-Huerta M, Verhoeven HA, Blaas J, van Houwelingen AMML, De Vos RCH, van der Voet H, Jansen RC, Guis M, Mol J, Davis RW, Schena M, van Tunen AJ, O'Connell AP: Identification of the SAAT Gene Involved in Strawberry Flavor Biogenesis by Use of DNA Microarrays. Plant Cell. 2000, 12: 647-662. 10.1105/tpc.12.5.647.PubMed CentralView ArticleGoogle Scholar
- Roscher R, Koch H, Herderich M, Schreier P, Schwab W: Identification of 2,5-dimethyl-4-hydroxy-3[2H]-furanone beta-D-glucuronide as the major metabolite of a strawberry flavour constituent in humans. Food Chem Toxicol. 1997, 35: 777-782. 10.1016/S0278-6915(97)00055-0.View ArticleGoogle Scholar
- Raab T, Lopez-Raez JA, Klein D, Caballero JL, Moyano E, Schwab W, Muñoz-Blanco J: FaQR, Required for the Biosynthesis of the Strawberry Flavor Compound 4-Hydroxy-2,5-Dimethyl-3(2H)-Furanone, Encodes an Enone Oxidoreductase. Plant Cell. 2006, 18: 1023-1037. 10.1105/tpc.105.039784.PubMed CentralView ArticleGoogle Scholar
- Lunkenbein S, Salentijn EMJ, Coiner HA, Boone MJ, Krens FA, Schwab W: Up- and down-regulation of Fragaria xananassa O-methyltransferase: impacts on furanone and phenylpropanoid metabolism. J Exp Bot. 2006, 57: 2445-2453. 10.1093/jxb/erl008.View ArticleGoogle Scholar
- Civello PM, Powell AL, Sabehat A, Bennett AB: An Expansin Gene Expressed in Ripening Strawberry Fruit. Plant Physiol. 1999, 121: 1273-1279. 10.1104/pp.121.4.1273.PubMed CentralView ArticleGoogle Scholar
- Trainotti L, Spolaore S, Pavanello A, Baldan B, Casadoro G: A novel E-type endo-beta-1,4-glucanase with a putative cellulose-binding domain is highly expressed in ripening strawberry fruits. Plant Mol Biol. 1999, 40: 323-332. 10.1023/A:1006299821980.View ArticleGoogle Scholar
- Trainotti L, Spinello R, Piovan A, Spolaore S, Casadoro G: β-Galactosidases with a lectin-like domain are expressed in strawberry. J Exp Bot. 2001, 52: 1635-1645. 10.1093/jexbot/52.361.1635.View ArticleGoogle Scholar
- Medina-Escobar N, Cárdenas J, Moyano E, Caballero JL, Muñoz-Blanco J: Cloning, molecular characterization and expression pattern of a strawberry ripening-specific cDNA with sequence homology to pectate lyase from higher plants. Plant Mol Biol. 1997, 34: 867-877. 10.1023/A:1005847326319.View ArticleGoogle Scholar
- Benitez-Burraco A, Blanco-Portales R, Redondo-Nevado J, Bellido ML, Moyano E, Caballero J, Munoz-Blanco J: Cloning and characterization of two ripening-related strawberry (Fragaria xananassa cv. Chandler) pectate lyase genes. J Exp Bot. 2003, 54: 633-645. 10.1093/jxb/erg065.View ArticleGoogle Scholar
- Castillejo C, de la Fuente JI, Iannetta P, Botella MA, Valpuesta V: Pectin esterase gene family in strawberry fruit: study of FaPE1, a ripening-specific isoform. J Exp Bot. 2004, 55: 909-918. 10.1093/jxb/erh102.View ArticleGoogle Scholar
- Osorio S, Castillejo C, Quesada MA, Medina-Escobar N, Brownsey GJ, Suau R, Heredia A, Botella MA, Valpuesta V: Partial demethylation of oligogalacturonides by pectin methyl esterase1 is required for eliciting defence responses in wild strawberry (Fragaria vesca). Plant J. 2008, 54: 43-55. 10.1111/j.1365-313X.2007.03398.x.View ArticleGoogle Scholar
- Fait A, Hanhineva K, Beleggia R, Dai N, Rogachev I, . Nikiforova VJ, Fernie AR, Aharoni A: Reconfiguration of the achene and receptacle metabolic networks during strawberry fruit development. Plant Physiol. 2008, 148: 730-750. 10.1104/pp.108.120691.PubMed CentralView ArticleGoogle Scholar
- Folta KM, Staton M, Stewart PJ, Jung S, Bies DH, Jesdurai C, Main D: Expressed sequence tags (ESTs) and simple sequence repeat (SSR) markers from octoploid strawberry (Fragaria xananassa). BMC Plant Biology. 2005, 5: 12-10.1186/1471-2229-5-12.PubMed CentralView ArticleGoogle Scholar
- Gil-Ariza D, Amaya I, Botella MA, Muñoz-Blanco J, Caballero JL, López Aranda J, Valpuesta V, Sánchez-Sevilla J: EST-derived polymorphic microsatellites from cultivated strawberry (Fragaria xananassa) are useful for diversity studies and varietal identification among Fragaria species. Mol Ecol Notes. 2006, 6: 1195-1197. 10.1111/j.1471-8286.2006.01489.x.View ArticleGoogle Scholar
- Aharoni A, O'Connell AP: EST-derived polymorphic microsatellites from cultivated strawberry (Fragaria xananassa) are useful for diversity studies and varietal identification among Fragaria species. J Exp Bot. 2002, 53: 2073-2087. 10.1093/jxb/erf026.View ArticleGoogle Scholar
- Aharoni A, Keizer LC, Van Den Broeck HC, Blanco-Portales R, Munoz-Blanco J, Bois G, Smit P, De Vos RC, O'Connell AP: Novel Insight into Vascular, Stress, and Auxin-Dependent and -Independent Gene Expression Programs in Strawberry, a Non-Climacteric Fruit. Plant Physiol. 2002, 129: 1019-1031. 10.1104/pp.003558.PubMed CentralView ArticleGoogle Scholar
- Salentijn EMJ, Aharoni A, Schaart JG, Boone MJ, Krens FA: Differential gene expression analysis of strawberry cultivars that differ in fruit-firmness. Physiol Plantarum. 2003, 118: 571-578. 10.1034/j.1399-3054.2003.00138.x.View ArticleGoogle Scholar
- Ewing RM, Ben Kahla A, Poirot O, Lopez F, Audic S, Claverie JM: Large-scale statistical analyses of rice ESTs reveal correlated patterns of gene expression. Genome Res. 1999, 9: 950-959. 10.1101/gr.9.10.950.PubMed CentralView ArticleGoogle Scholar
- Sargent DJ, Clarke J, Simpson DW, Tobutt KE, Arús P, Monfort A, Vilanova S, Denoyes-Rothan B, Rousseau M, Folta KM, Bassil NV, Battey NH: An enhanced microsatellite map of diploid Fragaria. Theor Appl Genet. 2006, 112: 1349-1359. 10.1007/s00122-006-0237-y.View ArticleGoogle Scholar
- Choi I, Hyten DL, Matukumalli LK, Song Q, Chaky JM, Quigley CV, Chase K, Lark KG, Reiter RS, Yoon M, Hwang E, Yi S, Young ND, Shoemaker RC, van Tassell CP, Specht JE, Cregan PB: A Soybean Transcript Map: Gene Distribution, Haplotype and Single-Nucleotide Polymorphism Analysis. Genetics. 2007, 176: 685-696. 10.1534/genetics.107.070821.PubMed CentralView ArticleGoogle Scholar
- Zhang BH, Pan XP, Wang QL, Cobb GP, Anderson TA: Identification and characterization of new plant microRNAs using EST analysis. Cell Res. 2005, 15: 336-360. 10.1038/sj.cr.7290302.View ArticleGoogle Scholar
- Alba R, Payton P, Fei Z, McQuinn R, Debbie P, Martin GB, Tanksley SD, Giovannoni JJ: Transcriptome and Selected Metabolite Analyses Reveal Multiple Points of Ethylene Control during Tomato Fruit Development. Plant Cell. 2005, 17: 2954-2965. 10.1105/tpc.105.036053.PubMed CentralView ArticleGoogle Scholar
- Waters DL, Holton TA, Ablett EM, Lee LS, Henry RJ: The ripening wine grape berry skin transcriptome. Plant Science. 2006, 171: 132-138. 10.1016/j.plantsci.2006.03.002.View ArticleGoogle Scholar
- Fei Z, Tang X, Alba RM, White JA, Ronning CM, Martin GB, Tanksley SD, Giovannoni JJ: Comprehensive EST analysis of tomato and comparative genomics of fruit ripening. Plant J. 2004, 40: 47-59. 10.1111/j.1365-313X.2004.02188.x.View ArticleGoogle Scholar
- Goes da Silva F, Iandolino A, Al-Kayal F, Bohlmann MC, Cushman MA, Lim H, Ergul A, Figueroa R, Kabuloglu EK, Osborne C, Rowe J, Tattersall E, Leslie A, Xu J, Baek J, Cramer GR, Cushman JC, Cook DR: Characterizing the Grape Transcriptome. Analysis of Expressed Sequence Tags from Multiple Vitis Species and Development of a Compendium of Gene Expression during Berry Development. Plant Physiol. 2005, 139: 574-597. 10.1104/pp.105.065748.View ArticleGoogle Scholar
- Newcomb RD, Crowhurst RN, Gleave AP, Rikkerink EH, Allan AC, Beuning LL, Bowen JH, Gera E, Jamieson KR, Janssen BJ, Laing WA, McArtney S, Nain B, Ross GS, Snowden KC, Souleyre EJ, Walton EF, Yauk Y: Analyses of Expressed Sequence Tags from Apple. Plant Physiol. 2006, 141: 147-166. 10.1104/pp.105.076208.PubMed CentralView ArticleGoogle Scholar
- Forment J, Gadea J, Huerta L, Abizanda L, Agusti J, Alamar S, Alos E, Andres F, Arribas R, Beltran JP, Berbel A, Blazquez MA, Brumos J, Canas LA, Cercos M, Colmenero-Flores JM, Conesa A, Estables B, Gandia M, Garcia-Martinez JL, Gimeno J, Gisbert A, Gómez G, Gonzalez-Candelas L, Granell A, Guerri J, Lafuente MT, Madueno F, Marcos JF, Marques MC, Martinez F, Martinez-Godoy MA, Miralles S, Moreno P, Navarro L, Pallas V, Perez-Amador MA, Perez-Valle J, Pons C, Rodrigo I, Rodriguez PL, Royo C, Serrano R, Soler G, Tadeo F, Talon M, Terol J, Trenor M, Vaello L, Vicente O, Vidal C, Zacarias L, Conejero V: Development of a citrus genome-wide EST collection and cDNA microarray as resources for genomic studies. Plant Mol Biol. 2005, 57: 375-391. 10.1007/s11103-004-7926-1.View ArticleGoogle Scholar
- Gonzalez-Ibeas D, Blanca J, Roig C, Gonzalez-To M, Pico B, Truniger V, Gómez P, Deleu W, Cano-Delgado A, Arus P, Nuez F, Garcia-Mas J, Puigdomenech P, Aranda M: MELOGEN: an EST database for melon functional genomics. BMC Genomics. 2007, 8: 306-10.1186/1471-2164-8-306.PubMed CentralView ArticleGoogle Scholar
- Quackenbush J, Liang F, Holt I, Pertea G, Upton J: The TIGR gene indices: reconstruction and representation of expressed gene sequences. Nucleic Acids Res. 2000, 28: 141-145. 10.1093/nar/28.1.141.PubMed CentralView ArticleGoogle Scholar
- Conesa A, Götz S, García-Gómez JM, Terol J, Talón M, Robles M: Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005, 21: 3674-3676. 10.1093/bioinformatics/bti610.View ArticleGoogle Scholar
- Pertea G: TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. Bioinformatics. 2003, 19: 651-10.1093/bioinformatics/btg034.View ArticleGoogle Scholar
- Rousseau-Gueutin M, Lerceteau-Kohler E, Barrot L, Sargent DJ, Monfort A, Simpson D, Arus P, Guerin G, Denoyes-Rothan B: Comparative Genetic Mapping Between Octoploid and Diploid Fragaria Species Reveals a High Level of Colinearity Between Their Genomes and the Essentially Disomic Behavior of the Cultivated Octoploid Strawberry. Genetics. 2008, 179: 2045-2060. 10.1534/genetics.107.083840.PubMed CentralView ArticleGoogle Scholar
- Jones B, Frasse P, Olmos E, Zegzouti H, Li ZG, Latch A, Pech JC, Bouzayen M: Down-regulation of DR12, an auxin-response-factor homolog, in the tomato results in a pleiotropic phenotype including dark green and blotchy ripening fruit. Plant J. 2002, 32: 603-613. 10.1046/j.1365-313X.2002.01450.x.View ArticleGoogle Scholar
- Fujimoto SY, Ohta M, Usui A, Shinshi H, Ohme-Takagi M: Arabidopsis Ethylene-Responsive Element Binding Factors Act as Transcriptional Activators or Repressors of GCC Box-Mediated Gene Expression. Plant Cell. 2000, 12: 393-404. 10.1105/tpc.12.3.393.PubMed CentralView ArticleGoogle Scholar
- Vardhini BV, Rao SSR: Acceleration of ripening of tomato pericarp discs by brassinosteroids. Phytochemistry. 2002, 61: 843-847. 10.1016/S0031-9422(02)00223-6.View ArticleGoogle Scholar
- Symons GM, Davies C, Shavrukov Y, Dry IB, Reid JB, Thomas MR: Grapes on Steroids. Brassinosteroids Are Involved in Grape Berry Ripening. Plant Physiol. 2006, 140: 150-158. 10.1104/pp.105.070706.PubMed CentralView ArticleGoogle Scholar
- Medina-Escobar N, Cárdenas J, Muñoz-Blanco J, Caballero JL: Cloning and molecular characterization of a strawberry fruit ripening-related cDNA corresponding a mRNA for a low-molecular-weight heat-shock protein. Plant Mol Biol. 1998, 36: 33-42. 10.1023/A:1005994800671.View ArticleGoogle Scholar
- Mittal D, Chakrabarti S, Sarkar A, Singh A, Grover A: Heat shock factor gene family in rice: genomic organization and transcript expression profiling in response to high temperature, low temperature and oxidative stresses. Plant Physiol Biochem. 2009, 47: 785-795. 10.1016/j.plaphy.2009.05.003.View ArticleGoogle Scholar
- Perkins Veazie P: Growth and ripening of strawberry fruit. Horticultural Reviews. 1995, 17: 267-197.Google Scholar
- Garcia-Mas J, Messeguer R, Arús P, Puigdomenech P: Molecular characterization of cDNAs corresponding to genes expressed during almond (Prunus amygdalus Batsch) seed development. Plant Mol Biol. 1995, 27: 205-210. 10.1007/BF00019192.View ArticleGoogle Scholar
- Hall J: Cellular mechanisms for heavy metal detoxification and tolerance. J Exp Bot. 2002, 53: 1-11. 10.1093/jexbot/53.366.1.View ArticleGoogle Scholar
- Butt A, Mousley C, Morris K, Beynon J, Can C, Holub E, Greenberg JT, Buchanan-Wollaston V: Differential expression of a senescence-enhanced metallothionein gene in Arabidopsis in response to isolates of Peronospora parasitica and Pseudomonas syringae. Plant J. 1998, 16: 209-221. 10.1046/j.1365-313x.1998.00286.x.View ArticleGoogle Scholar
- Clement M, Lambert A, Herouart D, Boncompagni E: Identification of new up-regulated genes under drought stress in soybean nodules. Gene. 2008, 426: 15-22. 10.1016/j.gene.2008.08.016.View ArticleGoogle Scholar
- Potter D, Eriksson T, Evans RC, Oh S, Smedmark JEE, Morgan DR, Kerr M, Robertson KR, Arsenault M, Dickinson TA, Campbell CS: Phylogeny and classification of Rosaceae. Plant Syst Evol. 2007, 266: 5-43. 10.1007/s00606-007-0539-9.View ArticleGoogle Scholar
- Shulaev V, Korban SS, Sosinski B, Abbott AG, Aldwinckle HS, Folta KM, Iezzoni A, Main D, Arus P, Dandekar AM, Lewers K, Brown SK, Davis TM, Gardiner SE, Potter D, Veilleux RE: Multiple Models for Rosaceae Genomics. Plant Physiol. 2008, 147: 985-1003. 10.1104/pp.107.115618.PubMed CentralView ArticleGoogle Scholar
- Pontaroli AC, Rogers RL, Zhang Q, Shields ME, Davis TM, Folta KM, SanMiguel P, Bennetzen JL: Gene Content and Distribution in the Nuclear Genome of Fragaria vesca. Plant Genome. 2009, 2: 93-101. 10.3835/plantgenome2008.09.0007.View ArticleGoogle Scholar
- Aharoni A, Giri AP, Verstappen FWA, Bertea CM, Sevenier R, Sun Z, Jongsma MA, Schwab W, Bouwmeester HJ: Gain and Loss of Fruit Flavor Compounds Produced by Wild and Cultivated Strawberry Species. Plant Cell. 2004, 16: 3110-3131. 10.1105/tpc.104.023895.PubMed CentralView ArticleGoogle Scholar
- Adams KL, Cronn R, Percifield R, Wendel JF: Genes duplicated by polyploidy show unequal contributions to the transcriptome and organ-specific reciprocal silencing. Proc Natl Acad Sci USA. 2003, 100: 4649-4654. 10.1073/pnas.0630618100.PubMed CentralView ArticleGoogle Scholar
- Gil-Ariza D, Amaya I, López-Aranda JM, Sanchez-Sevilla JF, Botella MA, Valpuesta V: Impact of Plant Breeding on the Genetic Diversity of Cultivated Strawberry as Revealed by Expressed Sequence Tag-derived Simple Sequence Repeat Markers. J Amer Soc Hort Sci. 2009, 134: 337-347.Google Scholar
- Davis TM, DiMeglio LM, Yang R, Styan SM, Lewers KS: Assessment of SSR Marker Transfer from the Cultivated Strawberry to Diploid Strawberry Species: Functionality, Linkage Group Assignment, and Use in Diversity Analysis. J Amer Soc Hort Sci. 2006, 131: 506-512.Google Scholar
- Monfort A, Vilanova S, Davis TM, Arús P: A new set of polymorphic simple sequence repeat (SSR) markers from a wild strawberry (Fragaria vesca) are transferable to other diploid Fragaria species and to Fragaria xananassa. Mol Ecol Notes. 2006, 6: 197-200. 10.1111/j.1471-8286.2005.01191.x.View ArticleGoogle Scholar
- Benjamins R, Scheres B: Auxin: the looping star in plant development. Annu Rev Plant Biol. 2008, 59: 443-465. 10.1146/annurev.arplant.58.032806.103805.View ArticleGoogle Scholar
- Tiwari SB, Hagen G, Guilfoyle T: The roles of auxin response factor domains in auxin-responsive transcription. Plant Cell. 2003, 15: 533-543. 10.1105/tpc.008417.PubMed CentralView ArticleGoogle Scholar
- Serrani JC, Ruiz-Rivero O, Fos M, García-Martínez JL: Auxin-induced fruit-set in tomato is mediated in part by gibberellins. Plant J. 2008, 56: 922-934. 10.1111/j.1365-313X.2008.03654.x.View ArticleGoogle Scholar
- Ellis CM, Nagpal P, Young JC, Hagen G, Guilfoyle TJ, Reed JW: AUXIN RESPONSE FACTOR1 and AUXIN RESPONSE FACTOR2 regulate senescence and floral organ abscission in Arabidopsis thaliana. Development. 2005, 132: 4563-4574. 10.1242/dev.02012.View ArticleGoogle Scholar
- Pirrello J, Jaimes-Miranda F, Sanchez-Ballesta MT, Tournier B, Khalil-Ahmad Q, Regad F, Latche A, Pech JC, Bouzayen M: Sl-ERF2, a Tomato Ethylene Response Factor Involved in Ethylene Response and Seed Germination. Plant Cell Physiol. 2006, 47: 1195-1205. 10.1093/pcp/pcj084.View ArticleGoogle Scholar
- Wang A, Tan D, Takahashi A, Zhong Li T, Harada T: MdERFs, two ethylene-response factors involved in apple fruit ripening. J Exp Bot. 2007, 58: 3743-3748. 10.1093/jxb/erm224.View ArticleGoogle Scholar
- Nakano T, Suzuki K, Fujimura T, Shinshi H: Genome-Wide Analysis of the ERF Gene Family in Arabidopsis and Rice. Plant Physiol. 2006, 140: 411-432. 10.1104/pp.105.073783.PubMed CentralView ArticleGoogle Scholar
- Wang X, Chory J: Brassinosteroids Regulate Dissociation of BKI1, a Negative Regulator of BRI1 Signaling, from the Plasma Membrane. Science. 2006, 313: 1118-1122. 10.1126/science.1127593.View ArticleGoogle Scholar
- Li L, Den XW: It runs in the family: regulation of brassinosteroid signaling by the BZR1-BES1 class of transcription factors. Trends Plant Sci. 2005, 10: 266-268. 10.1016/j.tplants.2005.04.002.View ArticleGoogle Scholar
- He J, Gendron JM, Yang Y, Li J, Wang Z: The GSK3-like kinase BIN2 phosphorylates and destabilizes BZR1, a positive regulator of the brassinosteroid signaling pathway in Arabidopsis. Proc Natl Acad Sci USA. 2002, 99: 10185-10190. 10.1073/pnas.152342599.PubMed CentralView ArticleGoogle Scholar
- Mezzetti B, Landi L, Pandolfini T, Spena A: The defH9-iaaM auxin- synthesizing gene increases plant fecundity and fruit production in strawberry and raspberry. BMC Biotechnology. 2004, 4: 4-10.1186/1472-6750-4-4.PubMed CentralView ArticleGoogle Scholar
- Manning K: Isolation of nucleic acids from plants by differential solvent precipitation. Anal Biochem. 1991, 195: 45-50. 10.1016/0003-2697(91)90292-2.View ArticleGoogle Scholar
- Medina-Escobar N, Cárdenas J, Valpuesta V, Muñoz-Blanco J, Caballero JL: Cloning and Characterization of cDNAs from Genes Differentially Expressed during the Strawberry Fruit Ripening Process by a MAST-PCR-SBDS Method. Anal Biochem. 1997, 248: 288-296. 10.1006/abio.1997.2110.View ArticleGoogle Scholar
- Diatchenko L, Lau YF, Campbell AP, Chenchik A, Moqadam F, Huang B, Lukyanov S, Lukyanov K, Gurskaya N, Sverdlov ED, Siebert PD: Suppression subtractive hybridization: a method for generating differentially regulated or tissue-specific cDNA probes and libraries. Proc Natl Acad Sci USA. 1996, 93: 6025-6030. 10.1073/pnas.93.12.6025.PubMed CentralView ArticleGoogle Scholar
- Thiel T, Michalek W, Varshney RK, Graner A: Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.). Theor Appl Genet. 2003, 106: 411-22.Google Scholar
- Tang J, Vosman B, Voorrips R, van der Linden CG, Leunissen J: QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyploid species. BMC Bioinformatics. 2006, 7: 438-10.1186/1471-2105-7-438.PubMed CentralView ArticleGoogle Scholar
- Casado-Díaz A, Encinas-Villarejo S, Santos BLD, Schilirò E, Yubero-Serrano E, Amil-Ruíz F, Pocovi MI, Pliego-Alfaro F, Dorado G, Rey M, Romero F, Muñoz-Blanco J, Caballero J: Analysis of strawberry genes differentially expressed in response to Colletotrichum infection. Physiol Plantarum. 2006, 128: 633-650. 10.1111/j.1399-3054.2006.00798.x.View ArticleGoogle Scholar
- de la Fuente JI, Amaya I, Castillejo C, Sánchez-Sevilla JF, Quesada MA, Botella MA, Valpuesta V: The strawberry gene FaGAST affects plant growth through inhibition of cell elongation. J Exp Bot. 2006, 57: 2401-2411. 10.1093/jxb/erj213.View ArticleGoogle Scholar
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