Analysis of BAC end sequences in oak, a keystone forest tree species, providing insight into the composition of its genome
- Patricia Faivre Rampant†1Email author,
- Isabelle Lesur†2,
- Clément Boussardon1,
- Frédérique Bitton1,
- Marie-Laure Martin-Magniette1,
- Catherine Bodénès2,
- Grégoire Le Provost2,
- Hélène Bergès3,
- Sylvia Fluch4,
- Antoine Kremer2 and
- Christophe Plomion2
© Rampant et al; licensee BioMed Central Ltd. 2011
Received: 10 December 2010
Accepted: 6 June 2011
Published: 6 June 2011
One of the key goals of oak genomics research is to identify genes of adaptive significance. This information may help to improve the conservation of adaptive genetic variation and the management of forests to increase their health and productivity. Deep-coverage large-insert genomic libraries are a crucial tool for attaining this objective. We report herein the construction of a BAC library for Quercus robur, its characterization and an analysis of BAC end sequences.
The Eco RI library generated consisted of 92,160 clones, 7% of which had no insert. Levels of chloroplast and mitochondrial contamination were below 3% and 1%, respectively. Mean clone insert size was estimated at 135 kb. The library represents 12 haploid genome equivalents and, the likelihood of finding a particular oak sequence of interest is greater than 99%. Genome coverage was confirmed by PCR screening of the library with 60 unique genetic loci sampled from the genetic linkage map. In total, about 20,000 high-quality BAC end sequences (BESs) were generated by sequencing 15,000 clones. Roughly 5.88% of the combined BAC end sequence length corresponded to known retroelements while ab initio repeat detection methods identified 41 additional repeats. Collectively, characterized and novel repeats account for roughly 8.94% of the genome. Further analysis of the BESs revealed 1,823 putative genes suggesting at least 29,340 genes in the oak genome. BESs were aligned with the genome sequences of Arabidopsis thaliana, Vitis vinifera and Populus trichocarpa. One putative collinear microsyntenic region encoding an alcohol acyl transferase protein was observed between oak and chromosome 2 of V. vinifera.
This BAC library provides a new resource for genomic studies, including SSR marker development, physical mapping, comparative genomics and genome sequencing. BES analysis provided insight into the structure of the oak genome. These sequences will be used in the assembly of a future genome sequence for oak.
Quercus (oak) belongs to the Fagaceae family which also contains the genera Castanea (chestnut), Fagus (beech), Lithocarpus (stone oaks) and Castanopsis. Oaks constitute a major component of northern hemisphere forests, extending from temperate to tropical regions . Oaks provide raw material for different uses but also afford important environmental services (carbon sequestration, energy production, water cycle etc.). These long-lived organisms are also considered good models for studies of the short- and long-term mechanisms of adaptation to the abiotic and biotic constraints associated with global climate change, because they grow under a wide range of soil and climatic conditions . The traits involved in adaptation are complex, so exploration of the entire genome is required to locate the genes involved.
The species of the Quercus genus are diploid (2 n = 24). Haploid DNA content varies between the species, ranging from 539 Mb in Q. velutina to 921 Mb in Q. coccifera and Q. ilex, and 740 Mb in Q. robur, corresponding to five times the size of the Arabidopsis genome (using the estimate of 157 Mb from Bennett et al. 2003 ) and approximately twice the size of the poplar genome (using the estimate of 485 Mb from Tuskan et al. 2006 ).
Large collections of oak expressed sequence tags (ESTs) have been generated from various tissues and developmental stages, including 130,000 Sanger sequences and 2 M 454-reads, available from public databases . This catalog constitutes a useful resource for detecting candidate genes controlling traits of interest and for the development of new genetic markers for forward genetics approaches (linkage mapping and QTL detection, association mapping) for dissection of the genetic architecture of adaptive traits [6–9]. However, little is known about the overall structure of the oak genome.
Bacterial artificial chromosome (BAC) genomic libraries provide a source of large genomic DNA insert clones for physical mapping, gene isolation, comparative studies of gene organization between species and sequencing projects [10, 11]. Despite carrying large inserts of genomic DNA (up to 200 kb), BAC clones display low rates of de novo rearrangement and are easy to handle. BAC libraries are thus widely used as genomic tools for diverse organisms, including forest tree species (Additional file 1). With the recently introduced strategies of genome sequencing combining BAC end Sanger sequences (BESs) with sequence reads from next-generation sequencing technologies, it has now become possible to sequence the oak genome. In this context, the use of BESs should make it possible to develop scaffolding over long distances, thus ensuring the long-range contiguity of the assembly particularly for large and heterozygous genomes [12, 13]. We had two main aims in this study: i) to construct and characterize a BAC library for Quercus robur, and ii) to characterize the composition of the oak genome by sequencing and analyzing BESs. A 12 × coverage library was obtained and an analysis of 20,056 BESs provided insight into the structure and composition of the oak genome.
Results and Discussion
BAC library characterization
Estimation of mean insert size
Characteristics of the oak BAC library
Pindigo BAC 536
Partial digest enzyme
Number of clones
Number of 384-well plates
Mean insert size
Minimum insert size
Maximum insert size
Number of genome equivalents
Screening the library for cytoplasmic DNA sequences
We investigated the frequency of BAC clones containing chloroplast (cp) and mitochondrial (mt) DNA sequences in the library by carrying out PCR with specific primers to screen a subset of the library consisting of 984 individual BAC clones. Amplification products were detected for 22 BAC clones, indicating a low frequency of clones derived from the chloroplast genome (2.2%). No BAC clone containing mt DNA was detected (Table 1).
Estimation of genome coverage
The approximate haploid genome size of Quercus robur has been estimated at 740 Mb . Based on mean insert size, the frequency of cytoplasmic sequences and the number of empty clones, the coverage of this library was estimated at 12×. We used the Clarke - Carbon equation  to estimate the probability of covering the genome: N = ln(1-P)/ln(1-[I/GS]), where N is the number of clones in the library, GS is genome size, and I is the insert size. In our case, the probability of recovering any sequence of interest from the library was more than 99%. Moreover, the high degree of genome coverage and the mean insert size of 135 kb make this library suitable for diverse applications such as physical mapping, map-based cloning and genome sequencing.
Depth of genome coverage
The theoretical genome coverage of the BAC library was validated by PCR screening of the library with 60 genetic markers detecting unique loci (5 per linkage group). Library screening was facilitated by forming plate pools for 127 plates corresponding to the equivalent of seven genomes. For a unique co-dominant locus, we expected a mean of seven hits. All but three of the markers detected at least one positive pool plate. In total, 430 pool plates were identified and the number of BAC clones detected by each marker ranged from 1 to 20, giving a mean of seven BAC clones per marker. Thus, the calculated depth of coverage was confirmed by screening the library with 60 genetic markers by PCR (Additional file 2). However, the library is not entirely random because not all the sequences tested were represented. This bias may be due to the use of Eco RI for cloning or may reflect the presence of genomic regions in which the Eco RI site is underrepresented. The use of several enzymes is usually recommended to achieve complete representation of the genome . We therefore constructed a second BAC library for the same Q. robur genotype, using Hin dIII as the cutting enzyme (results not shown). Both libraries are available at the CNRGV  and PICME  repository centers for library and clone distribution. A set of 15,000 clones is also being sequenced (both ends) to characterize this second library.
BAC end sequences
Summary of BAC end sequencing
No. of good-quality BAC end sequences
Total base count
Comparison of the BESs with the chloroplast (cp) genomes of oak (kindly provided by GG. Vendramin), poplar [GenBank: DQ424856] and grapevine [GenBank: EF489041] confirmed the low frequency of cp sequences in the library (<2%). The mitochondrial (mt) genome of oak has not yet been sequenced, so we searched for homologous mt sequences by comparison with the grapevine mt genome. Less than 1% of our BESs showed significant matches with the grapevine mt genome [GenBank: NC_012119]. These values are consistent with the estimates obtained by PCR screening with cp- and mt-specific primers.
Classical repeat analysis and classification
Classification and distribution of known plant repeats in the BAC end sequences
Number of elements
% of nucleotides
Total interspersed repeats
Identification of novel repeats
Characterization of oak repeat elements (ORE)
Despite the masking of known repeat elements in our BESs, 60.5% could be considered as putative repeats. Datema et al. carried out a similar analysis on potato and tomato . Based on the criterion that at least 50% of a given sequence matches another BES with at least 90% identity, 52% of the nucleotides in the tomato BESs displayed matches with at least one other tomato BES and 19% displayed matches with at least five other BESs. Potato BESs displayed a lower degree of redundancy than those of tomato; 39% of the nucleotides in the potato BESs had a hit with at least one other BES, and 12.9% had a hit with at least five other BESs. The authors concluded that the remaining redundancy after repeat masking might correspond to novel repetitive or duplicated sequences. In carrot, high levels of redundancy were found to be due to repetitive elements not previously identified in other plants . By considering the BES with a minimum of 6 hits, the authors characterized 11 carrot repetitive elements. In the oak BES data set we identified 93 repeat sequences among the 2,948 BESs presenting at least six matches with other BESs. For confirmation that these sequences were unique to the oak genome, we queried them against the NCBI GenBank non-redundant nucleic acid sequence database, the NCBI GenBank EST database (excluding oak ESTs), the Swissprot database, the TIGR Plant Repeat Databases, the Triticeae repetitive sequence database and the GIRI repeat database. None of these repeat sequences matched protein sequences in the Swissprot database but 52 repeat sequences matched at least one accession in the other databases. These sequences were removed from our list of putative oak repetitive elements (OREs). Of the remaining 41 OREs, 19 matched oak ESTs, 1 motif matched Fagaceae ESTs (Quercus and Castanea), 1 motif matched a Quercus suber retrotransposon 'Qsub2' in the NR database, and 20 motifs specifically matched oak BESs corresponding to unknown repetitive sequences (Additional file 3). These 41 OREs were present in seven to 119 copies in the BES database and their sizes ranged from 80 bp to 224 bp (Additional file 4). Overall, these OREs matched 1,459 BESs, covering 151,565 bp and accounting for almost 1.26% of the total BES length. Extrapolating to the level of the oak genome, there could be as many as 7,327 copies of the most frequent ORE. Similarly, four other OREs may be present more than 4,000 times. Thus, in addition to the repetitive DNA fraction identified by classical analysis (5.88% - Table 1), the 41 OREs and 52 repeat sequences bring the total repetitive DNA content to a minimum of 8.94%.
Simple sequence repeats (SSRs)
Once repeats were masked, 2,712 BESs (13.5% of total BESs) were found to match at least one A. thaliana sequence in the NR database. We found that 0.33% and 0.11% of these 2,712 BESs were homologous to cp and mt sequences, respectively. A total of 1,823 masked BESs (9.1% of the BESs) matched at least one A. thaliana sequence in the Swissprot database (25,056 significant alignments) (Additional file 6), 166 (0.83%) and 66 (0.33%) of which matched a chloroplast- or mitochondrion-encoded protein sequence, respectively. The number of cp hits was in the range of chloroplast contamination estimated by PCR (i.e 2.2% - Table 1). We found that 1,461 BESs matched an A. thaliana sequence in both the NR and Swissprot databases, including 0.55% (8 BESs) of cp and 0.14% (2 BESs) of mt sequences. We found that 5,250 masked BESs (26.18%) matched at least one oak EST sequence in the Oak Unigene dataset (15,359 significant alignments), and among these sequences, we identified 4.21% of cp and 0.1% of mt protein-coding sequences. Among these 5,250 BESs, 2,018 (38.44%) also matched at least one sequence in Swissprot, NR or both databases (Additional file 7).
Based on the number of BESs matching at least one A. thaliana sequence in the Swissprot database (1,591), the mean sequence length of the BES (599 bp), the size of the oak genome (740 Mb), the total size of the BESs (9,535 kb) and the mean size of a gene (2 kb - ), we estimated a number of 29,340 genes. Bioinformatics' analysis on oak unigene set revealed that 11% of them have no homology with genes in Arabidopsis , taking into account this result we estimated the gene content of the whole genome of at least 32467 genes. This estimated number of genes is consistent with the gene number for a fully sequenced plant genome.
Comparative genome mapping
We found that 176 of the 20,056 oak BESs that were compared with the V. vinifera genome presented at least one match. These matches were divided into seven categories, as shown in the last seven columns of Additional file 9. The 'single end' category corresponds to BAC end pairs for which only one of the two sequences matched a sequence in the V. vinifera genome Most of the matches (415) were of this type. Twenty BES pairs for which BESs from the same BAC matched the V. vinifera genome (not necessarily the same chromosome) were assigned to the 'paired-end' category. The 'colocalized' category contained eight BAC end pairs that matched the same V. vinifera chromosome. The distance between the paired matches for seven of these eight BES pairs was either smaller than 15 kb or larger than 250 kb ('gapped' category). For one of the eight BES pairs, 20 hits were detected with the V. vinifera genome and all of these intertwined alignments fell into the 'no-gapped' category for chromosome 2 of V. vinifera. The last two categories corresponded to BACs for which both end sequences matched the genome, at points 15 to 250 kb apart on the V. vinifera and P. trichocarpa genome, either in the correct orientation with respect to each other ('collinear') or rearranged with respect to each other ('rearranged'). One of the eight BES pairs matching the same V. vinifera chromosome fell into the 'collinear' category, suggesting the presence of one putative microsyntenic region between oak and chromosome 2 of V. vinifera. This region contains the GSVIVG01022745001 gene , which encodes an alcohol acyl transferase protein very similar to that encoded by the Lupinus albus Q5H873_LUPAL gene and involved in competition with other plant species and in the synthesis of defense compounds active against pathogenic organisms . The sequence of the protein encoded by GSVIVG01022745001 matched 88 sequences in the Oak Unigene set , all classified as having GO:0016747 Transferase activity, transferring acyl groups other than amino-acyl groups in the Gene Ontology classification.
BlastN hits between oak BESs and the Vitis vinifera, Populus trichocarpa and Arabidopsis thaliana genomes
Single end (BESs)
We repeated this analysis for the A. thaliana genome. For the 16 BES pairs identified as 'co-localized', both ends matched to the chloroplast molecule (i.e. contamination 0.2%) (Table 4).
In similar investigations in the A. thaliana genome, Datema et al., identified very few regions of microsynteny in potato (one collinear and one rearranged sequence) and tomato (three collinear and one rearranged). Tomato displayed a higher degree of synteny with P. trichocarpa, with 51 collinear sequences and 22 rearranged sequences.
We constructed the first genomic BAC library for the genus Quercus. It was built for a genotype involved in controlled crosses for genetic mapping and QTL detection. The estimated genome coverage of 12 × was confirmed by PCR screening of 60 genetic markers evenly distributed over the genetic linkage map. Both genome coverage and the mean insert size of 135 kb make this library useful for physical mapping and map-based cloning approaches for adaptive trait QTLs and genome sequencing. We carried out a preliminary examination of the composition of the genome sequence by generating 20,056 BESs and searching for sequence similarities. The sequences contained a relatively small proportion of the known repetitive DNA sequences (5.88%). However, 3.06% of the BESs constituted new repeat sequences. Protein-coding regions accounted for 13.5% of the BESs. Only 176 and 81 matches were found between oak and grapevine or oak and poplar respectively, suggesting that studies of the oak genome will provide new insight into the organization and function of plant genomes.
The Quercus robur genotype named 3P was selected for BAC library construction. It was used as the female parent of an intraspecific control cross, 3P × A4 . A dense genetic map is available  and QTL for adaptive traits have already been described for this genotype [6, 7, 32]. Young leaves were collected from an adult tree and incubated 3 days in the dark at 4°C. The leaves were washed in double-distilled H2O and frozen in liquid nitrogen, then stored at -80°C until use.
BAC library construction
The BAC library was constructed at the Clemson University Genomic Institute (CUGI, http://www.genome.clemson.edu/services/bacrc/BAC_library). Briefly, high-molecular weight DNA was partially digested with Eco RI and subjected to size selection via pulsed-field gel electrophoresis. Size-selected DNA was ligated into the vector, pBeloBAC536. E. coli strain DH10B was electroporated with the ligation products. Recombinant white colonies were arrayed as individual clones in 240 384-well microtiter plates containing Freezing Medium (FM) (13 mM KH2PO4, 36 mM K2HPO4, 1.7 mM sodium citrate, 6.8 m (NH4)2SO4, 4.4% v/v glycerol) with 12.5 μgml-1 chloramphenicol.
BAC clone characterization/BAC insert sizing
BAC DNA was prepared by a standard alkaline lysis method , from 3 ml of overnight culture in 2YT supplemented with 12.5 μg/ml chloramphenicol. The pellet was resuspended in 40 μl of TE (10:1). We estimated mean insert size and determined the distribution of clone sizes, by digesting 10 μl of BAC DNA miniprep with 10 U of Not I enzyme. Digested BAC DNA was fractionated by PFGE (CHEF-DRIII, Biorad, USA) in a 0.5% agarose gel in 0.5 × TBE buffer (0.09 M Tris-borate, 0.09 M boric acid, 0.002 M EDTA), with a 1-40 s linear ramp, 6 V/cm, 14°C and a 13 h run time. The gel was then stained with ethidium bromide and photographed with a Gel Doc apparatus (Bio-Rad, Hercules, California). The size of the insert in each BAC clone was determined by comparison with PFGE size standard markers (Lambda Ladder PFG Markers New England Biolabs, Ipswich, MA, USA).
PCR screening for organelle contamination
Universal chloroplast primers CCMP2 (F-GATCCCGGACGTAATCCTG/R-ATGGTACCGAGGGTTCGAAT) and udt 5 (F-TAAATCTGGAAATCTGGGAA/R-TTGATACATAGACTTGCCAA) were used to estimate the level of chloroplast contamination, in individual tests of 984 BAC clones [34, 35]. PCR was carried out on bacterial suspensions in 384-well plates. Each reaction was carried out in a 10 μl reaction volume containing 5 μM of each dNTP (Applied Biosystem, Carlsbad, CA, USA), 0.5 U Taq DNA polymerase (Applied Biosystems), 5 μM of each primer, 1 μl of 10 × PCR buffer, 50 μM MgCl2 (Applied Biosystems) and 20%(v/v) loading buffer [60% (w/v) sucrose, 5 mM Cresol Red in water]. Amplifications were performed with a GeneAmp 9700 PCR system (Applied Biosystems) programmed as follows: 94°C for 5 min, followed by 30 cycles of 94°C for 30 s, 55°C for 30 s, 72°C for 20 s, and then a final 5 min extension at 72°C. We used 3P genomic DNA as positive control. We then used the same procedure and mitochondrial primers F-GGTAATGGTTTGTTCCGATT/R-CATGCCTAGATACCCGAAGAC to evaluate mitochondrial DNA contamination of the library. PCR products were loaded onto 1% classical agarose gels in 1 × TAE buffer. Electrophoresis was performed at 300 mA for 30 min in 1 × TAE buffer. The gels were stained with ethidium bromide and photographed.
PCR screening for SSR genetic markers
BAC clones from 127 384-well plates were replicated with a 384-well pin tool into microtiter plates containing 60 μl FM supplemented with 12.5-μg/ml chloramphenicol per well, and the plates were incubated overnight at 37°C. Each BAC clone was grown independently, to prevent growth-based competition. For each plate, we removed 20 μl from each well and added it to a single tube to create a plate pool. Dilutions of 1/20, 1/50 and 1/100 were tested for successful PCR amplification.
Sixty SSR markers (5 per linkage group from ) were used for BAC library screening, with 1:20-diluted plate pools as the DNA template. The PCR mixture was as follows: 2.5 μl of bacterial suspension was added to a 7.5 μl reaction mixture according to the procedure describe above. PCR was carried out with a touchdown program, as follows: initial denaturation for 5 min at 94°C, followed by 15 cycles of 20 s at 94°C, 20 s at a temperature of 65°C to 51°C with a decrease of 1°C at each cycle, 30 s at 72°C and a final 40 cycles of 20 s at 94°C, 20 s at 55°C and 30 s at 72°C. The program ended with a 5-minute step at 72°C. PCR products were separated onto agarose gels.
BAC end sequencing
Thirty-nine plates were randomly selected for BAC end sequencing. This procedure was carried out with Applied Biosystems Big Dye Terminator chemistry and the results were analyzed on an ABI 3730 machine at the IG-CNS facility. Base calling was performed with PHRED . Sequences were trimmed for vector and low-quality sequences with Seqtrim V0.110 .
Identifying previously characterized repeats
Repeats in the oak BESs were identified by searches for similarity to sequences in the Viridiplantae section of the RepBase repeat database (release 05-10-2010) , with RepeatMasker 3.1.9  and WU-blast . Repeat density was then calculated as the percentage of nucleotides in the BESs with at least one hit matching the repeat database . Repeat families were classified on the basis of annotation in the RepBase database.
Ab initio Repeat identification
Oak BESs were first masked for known repeat elements with RepeatMasker. We then detected redundancy in the BESs with MegaBlast, by comparing the oak BESs with themselves (E-value = 10-50). Sequences with at least six hits were input into MEME V4.4.0 to identify DNA motifs (E-value = 10-4) . We assessed the extent to which these motifs were unique, by using the resulting putative oak repeat elements (ORE) to query the NCBI GenBank non-redundant nucleic acid sequence database (Viridiplantae section - release 03-10-2010) , the NCBI GenBank EST database (Viridiplantae section - release 03-10-2010)  and the Oak Unigene set , with BlastN (E-value = 10-5 for NR database and E-value = 10-40 for EST databases).
We also used these sequences to query repeat databases including the TIGR Plant Repeat Databases (http://www.tigr.org/tdb/e2k1/plant.repeats/ - August 2010) , Triticeae repetitive sequence database (TREP) (http://wheat.pw.usda.gov/ITMI/Repeats/ - August 2010) , and GIRI repeat database (http://www.girinst.org/ - August 2010) , with BlastN and an E-value cut off of 10-5. Finally, we used the putative OREs as queries against the Swissprot database (release 2010-04) , with BlastX and an E-value cutoff of 10-4.
Simple sequence repeats
Microsatellites were detected with Mreps 2.5 software . Running parameters were set to return all SSRs with a motif length between 1 and 6 (i.e. mono-, di-, tri-, tetra-, penta- and hexanucleotide repeats). SSRs were at least 15 nucleotides long for tri- and pentanucleotide motifs, 16 nucleotides long for di- and tetranucleotide motifs and 18 nucleotides long for hexanucleotide motifs. The resolution parameter was set to 0, indicating that no irregular repetitive structure was allowed.
Gene content of the BESs was estimated through BLAST searches with Blastall 2.2.15. BESs were first masked for repeat sequences and low-complexity sequences with RepeatMasker 3.1.9 . The BESs were then compared with the NCBI GenBank non-redundant protein database (A. thaliana - release 03-10-2010) , with BlastX . We identified putative protein-coding regions, by comparing oak BESs with the Swissprot database (Arabidopsis thaliana - release 2010-04) , with BlastX. For all BlastX searches, an E-value cutoff of 10-4 was used. In parallel, the gene content of the BESs was estimated against the Oak Unigene set, comprising 69,154 contigs and 153,517 singletons, by BlastN at a very high stringency (E value = 10-50) . BlastN searches were performed with a minimum identity of 90% in each sliding window of 100 nucleotides. For each analysis, the percentage contamination with chloroplast and mitochondrial sequences was calculated.
Gene Ontology provides a system for classifying gene products according to three ontologies: Molecular Function, Cellular Component and Biological Process .
Oak BESs were functionally annotated by comparison with the HMMER 2.3.2 (Pfam V24.0) protein family databases, with InterProScan 4.6 [50, 51]. GO terms from the Pfam annotations were extracted from the merged output file of InterProScan. For each GO term, the number of matching BESs was counted.
We performed the same analysis on Oak BESs significantly aligned with A. thaliana sequences in Swissprot.
Comparative genome mapping
We tried to identify potential areas of microsynteny between oak and Arabidopsis, poplar or grapevine, by selecting paired BESs and mapping them onto the Arabidopsis thaliana, Populus trichocarpa and Vitis vinifera genome sequences with MegaBlast (Blastall 2.2.15) alignments. Whole-genome sequences from A. thaliana, P. trichocarpa and V. vinifera were downloaded from TAIR, Genoscope and URGI [52–54], respectively. The E-value cutoff was set at 10-4 and BLAST hits were removed if they did not have a minimum identity of 90% in each sliding window of 100 nucleotides. A BAC was considered to display microsynteny to the target genome if both ends mapped to within 15 kb to 250 kb of each other. When the two ends were correctly oriented with respect to each other, the region was considered collinear. Otherwise, the region was considered to be rearranged between the two species. When a microsyntenic region was identified, we also compared the protein sequence with the Oak Unigene set , with tblastN. An E-value cutoff of 10-5 was used.
We thank the EU for funding supports: EVOLTREE project (n°16322) for the sequencing and FORESTTRAC project (n°FP7-244096) for providing IL a postdoctoral fellowship. We thank INRA (AIP Bioressources) for its funding. We thank H. Belkram and I. Leclainche from URGV for technical assistance and N. Boudet for helpful discussions on oak repeat searches.
- Jones JH: Evolution of the Fagaceae: the implications of foliar features. Annals of the Missouri Botanical Garden. 1986, 73: 228-275. 10.2307/2399112.View ArticleGoogle Scholar
- Kremer A: Fagaceae Trees. Genome Mapping and Molecular Breeding in Plants. 2007, Kole, Chittaranjan. Kole, Chittaranjan, 7: 161-184. 10.1007/978-3-540-34541-1_5.Google Scholar
- Bennett MD, Leitch IJ, Price HJ, Johnston JS: Comparisons with Caenorhabditis (~100 Mb) and Drosophila (~175 Mb) using flow cytometry show genome size in Arabidopsis to be ~157 Mb and thus ~25% larger than the Arabidopsis Genome Initiative estimate of ~125 Mb. Annals of Botany. 2003, 91: 547-557. 10.1093/aob/mcg057.PubMed CentralPubMedView ArticleGoogle Scholar
- Tuskan GA, Difazio S, Jansson S, et al: The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science. 2006, 313: 1596-1604. 10.1126/science.1128691.PubMedView ArticleGoogle Scholar
- Ueno S, Le Provost G, Léger V, Klopp C, Noirot C, Frigerio J, Salin F, Salse J, Abrouk M, Murat F, Brendel O, Derory J, Abadie P, Léger P, Cabane C, Barré A, de Daruvar A, Couloux A, Wincker P, Reviron M, Kremer A, Plomion C: Bioinformatic analysis of Sanger and 454 ESTs for a keystone forest tree species: oak. BMC Genomics. 2010, 11: 650-674. 10.1186/1471-2164-11-650.PubMed CentralPubMedView ArticleGoogle Scholar
- Casasoli M, Derory J, Morera-Dutrey C, Brendel O, Porth I, Guehl J, Villani F, Kremer A: Comparison of quantitative trait loci for adaptive traits between oak and chestnut based on an expressed sequence tag consensus map. Genetics. 2006, 172: 533-546.PubMed CentralPubMedView ArticleGoogle Scholar
- Derory J, Scotti-Saintagne C, Bertocchi E, Le Dantec L, Graignic N, Jauffres A, Casasoli M, Chancerel E, Bodenes C, Alberto F, Kremer A: Contrasting relations between diversity of candidate genes and variation of bud burst in natural and segregating populations of European oaks. Heredity. 2010, 105 (4): 401-11. 10.1038/hdy.2009.170.PubMedView ArticleGoogle Scholar
- Alberto F, Niort J, Derory J, Lepais O, Vitalis R, Galop D, Kremer A: Population differentiation of sessile oak at the altitudinal front of migration in the French Pyrenees. Mol Ecol. 2010, 19: 2626-2639. 10.1111/j.1365-294X.2010.04631.x.PubMedView ArticleGoogle Scholar
- Durand J, Bodénès C, Chancerel E, Frigerio J, Vendramin G, Sebastiani F, Buanamici A, Gailing O, Koelewijn H, Villani F, Mattioni C, Cherubini M, Goicoechea PG, Herran A, Ikaran Z, Cabané C, Ueno S, Alberto F, Dumoulin P, Guichoux E, de Daruvar A, Kremer A, Plomion C: A fast and cost-effective approach to develop and map EST-SSR markers: oak as a case study. BMC Genomics. 2010, 11: 570-10.1186/1471-2164-11-570.PubMed CentralPubMedView ArticleGoogle Scholar
- Zhang HB, Wu CC: BACs as tools for genome sequencing. Plant Physiology and Biochemistry. 2001, 39: 195-209. 10.1016/S0981-9428(00)01236-5.View ArticleGoogle Scholar
- Meksem K, Kahl G: The handbook of plant genome mapping: genetic and physical mapping. 2005, Wiley-VCHView ArticleGoogle Scholar
- Schatz MC, Delcher AL, Salzberg SL: Assembly of large genomes using second-generation sequencing. Genome Research. 2010, 20: 1165-1173. 10.1101/gr.101360.109.PubMed CentralPubMedView ArticleGoogle Scholar
- Velasco R, Zharkikh A, Affourtit J, Dhingra A, Cestaro A, et al: The genome of the domesticated apple (Malus × domestica Borkh.). Nat Genet. 2010, 42: 833-839. 10.1038/ng.654.PubMedView ArticleGoogle Scholar
- Clarke L, Carbon J: A colony bank containing synthetic Col El hybrid plasmids representative of the entire E. coli genome. Cell. 1976, 9: 91-99. 10.1016/0092-8674(76)90055-6.PubMedView ArticleGoogle Scholar
- Adam-Blondon A, Bernole A, Faes G, Lamoureux D, Pateyron S, Grando MS, Caboche M, Velasco R, Chalhoub B: Construction and characterization of BAC libraries from major grapevine cultivars. Theor Appl Genet. 2005, 110: 1363-1371. 10.1007/s00122-005-1924-9.PubMedView ArticleGoogle Scholar
- CNRGV: The French Plant Genomic Resource Center - Home. [http://cnrgv.toulouse.inra.fr/]
- PICME: The Platform for Integrated Clone Management. [http://www.picme.at/]
- Zoldos V, Papes D, Brown S, Panaud O, Siljak-Yakovlev S: Genome size and base composition of seven Quercus species: inter- and intra-population variation. Genome. 1998, 41: 162-168.View ArticleGoogle Scholar
- Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000, 408: 796-815. 10.1038/35048692.
- Liang H, Fang EG, Tomkins JP, Luo M, Kudrna D, Kim HR, Arumuganathan K, Zhao S, Leebens-Mack J, Schlarbaum SE, Banks JA, dePamphilis CW, Mandoli DF, Wing RA, Carlson JE: Development of a BAC library for yellow-poplar (Liriodendron tulipifera) and the identification of genes associated with flower development and lignin biosynthesis. Tree Genetics & Genomes. 2006, 3: 215-225.View ArticleGoogle Scholar
- Jaillon O, Aury J, Noel B, Policriti A, Clepet C, Casagrande A, Choisne N, Aubourg S, Vitulo N, Jubin C, Vezzi A, Legeai F, Hugueney P, Dasilva C, Horner D, Mica E, Jublot D, Poulain J, Bruyère C, Billault A, Segurens B, Gouyvenoux M, Ugarte E, Cattonaro F, Anthouard V, Vico V, Del Fabbro C, Alaux M, Di Gaspero G, Dumas V, Felice N, Paillard S, Juman I, Moroldo M, Scalabrin S, Canaguier A, Le Clainche I, Malacrida G, Durand E, Pesole G, Laucou V, Chatelet P, Merdinoglu D, Delledonne M, Pezzotti M, Lecharny A, Scarpelli C, Artiguenave F, Pè ME, Valle G, Morgante M, Caboche M, Adam-Blondon A, Weissenbach J, Quétier F, Wincker P: The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature. 2007, 449: 463-467. 10.1038/nature06148.PubMedView ArticleGoogle Scholar
- Datema E, Mueller LA, Buels R, Giovannoni JJ, Visser RGF, Stiekema WJ, van Ham RCGJ: Comparative BAC end sequence analysis of tomato and potato reveals overrepresentation of specific gene families in potato. BMC Plant Biol. 2008, 8: 34-10.1186/1471-2229-8-34.PubMed CentralPubMedView ArticleGoogle Scholar
- Han Y, Chagné D, Gasic K, Rikkerink EHA, Beever JE, Gardiner SE, Korban SS: BAC-end sequence-based SNPs and Bin mapping for rapid integration of physical and genetic maps in apple. Genomics. 2009, 93: 282-288. 10.1016/j.ygeno.2008.11.005.PubMedView ArticleGoogle Scholar
- Moisy C, Garrison KE, Meredith CP, Pelsy F: Characterization of ten novel Ty1/copia-like retrotransposon families of the grapevine genome. BMC Genomics. 2008, 9: 469-10.1186/1471-2164-9-469.PubMed CentralPubMedView ArticleGoogle Scholar
- Cavagnaro PF, Chung S, Szklarczyk M, Grzebelus D, Senalik D, Atkins AE, Simon PW: Characterization of a deep-coverage carrot (Daucus carota L.) BAC library and initial analysis of BAC-end sequences. Mol Genet Genomics. 2009, 281: 273-288. 10.1007/s00438-008-0411-9.PubMedView ArticleGoogle Scholar
- Hribová E, Neumann P, Matsumoto T, Roux N, Macas J, Dolezel J: Repetitive part of the banana (Musa acuminata) genome investigated by low-depth 454 sequencing. BMC Plant Biol. 2010, 10: 204-10.1186/1471-2229-10-204.PubMed CentralPubMedView ArticleGoogle Scholar
- Terol J, Naranjo MA, Ollitrault P, Talon M: Development of genomic resources for Citrus clementina: characterization of three deep-coverage BAC libraries and analysis of 46,000 BAC end sequences. BMC Genomics. 2008, 9: 423-10.1186/1471-2164-9-423.PubMed CentralPubMedView ArticleGoogle Scholar
- Hong CP, Plaha P, Koo D, Yang T, Choi SR, Lee YK, Uhm T, Bang J, Edwards D, Bancroft I, Park B, Lee J, Lim YP: A Survey of the Brassica rapa genome by BAC-end sequence analysis and comparison with Arabidopsis thaliana. Mol Cells. 2006, 22: 300-307.PubMedGoogle Scholar
- Vitis vinifera GSVIVG01022745001 gene - URGI Versailles. [http://urgi.versailles.inra.fr/cgi-bin/gbrowse/vitis_12x_pub/?name=GSVIVG01022745001]
- Okada T, Hirai MY, Suzuki H, Yamazaki M, Saito K: Molecular characterization of a novel quinolizidine alkaloid O-tigloyltransferase: cDNA cloning, catalytic activity of recombinant protein and expression analysis in Lupinus plants. Plant and Cell Physiology. 2005, 46: 233-244. 10.1093/pcp/pci021.PubMedView ArticleGoogle Scholar
- Barreneche T, Casasoli M, Russell K, Akkak A, Meddour H, Plomion C, Villani F, Kremer A: Comparative mapping between Quercus and Castanea using simple-sequence repeats (SSRs). Theor Appl Genet. 2004, 108: 558-566. 10.1007/s00122-003-1462-2.PubMedView ArticleGoogle Scholar
- Parelle J, Zapater M, Scotti-Saintagne C, Kremer A, Jolivet Y, Dreyer E, Brendel O: Quantitative trait loci of tolerance to waterlogging in a European oak (Quercus robur L.): physiological relevance and temporal effect patterns. Plant Cell Environ. 2007, 30: 422-434. 10.1111/j.1365-3040.2006.01629.x.PubMedView ArticleGoogle Scholar
- Sambrook J, Gething MJ: Protein structure. Chaperones, paperones. Nature. 1989, 342: 224-225. 10.1038/342224a0.PubMedView ArticleGoogle Scholar
- Weising K, Gardner RC: A set of conserved PCR primers for the analysis of simple sequence repeat polymorphisms in chloroplast genomes of dicotyledonous angiosperms. Genome. 1999, 42: 9-19. 10.1139/g98-104.PubMedView ArticleGoogle Scholar
- Deguilloux M, Pemonge M, Petit RJ: Novel perspectives in wood certification and forensics: dry wood as a source of DNA. Proc Biol Sci. 2002, 269: 1039-1046. 10.1098/rspb.2002.1982.PubMed CentralPubMedView ArticleGoogle Scholar
- Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8: 175-185.PubMedView ArticleGoogle Scholar
- Falgueras J, Lara AJ, Fernández-Pozo N, Cantón FR, Pérez-Trabado G, Claros MG: SeqTrim: a high-throughput pipeline for pre-processing any type of sequence read. BMC Bioinformatics. 2010, 11: 38-10.1186/1471-2105-11-38.PubMed CentralPubMedView ArticleGoogle Scholar
- Jurka J, Kapitonov VV, Pavlicek A, Klonowski P, Kohany O, Walichiewicz J: Repbase Update, a database of eukaryotic repetitive elements. Cytogenet Genome Res. 2005, 110: 462-467. 10.1159/000084979.PubMedView ArticleGoogle Scholar
- Tarailo-Graovac M, Chen N: Using RepeatMasker to identify repetitive elements in genomic sequences. Curr Protoc Bioinformatics. 2009, Chapter 4 (Unit 4.10):
- WU-BLAST: Advanced Biocomputing. [http://www.advbiocomp.com/blast.html]
- Zhang Z, Schwartz S, Wagner L, Miller W: A greedy algorithm for aligning DNA sequences. J Comput Biol. 2000, 7: 203-214. 10.1089/10665270050081478.PubMedView ArticleGoogle Scholar
- Bailey TL, Bodén M, Whitington T, Machanick P: The value of position-specific priors in motif discovery using MEME. BMC Bioinformatics. 2010, 11: 179-10.1186/1471-2105-11-179.PubMed CentralPubMedView ArticleGoogle Scholar
- Pruitt KD, Tatusova T, Maglott DR: NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic Acids Res. 2007, 35: D61-D65. 10.1093/nar/gkl842.PubMed CentralPubMedView ArticleGoogle Scholar
- Ouyang S, Buell CR: The TIGR Plant Repeat Databases: a collective resource for the identification of repetitive sequences in plants. Nucleic Acids Res. 2004, 32: D360-363. 10.1093/nar/gkh099.PubMed CentralPubMedView ArticleGoogle Scholar
- ITMI Triticeae Repeat Sequence Database. [http://wheat.pw.usda.gov/ITMI/Repeats/]
- Bairoch A, Boeckmann B, Ferro S, Gasteiger E: Swiss-Prot: juggling between evolution and stability. Brief Bioinformatics. 2004, 5: 39-55. 10.1093/bib/5.1.39.PubMedView ArticleGoogle Scholar
- Kolpakov R, Bana G, Kucherov G: mreps: Efficient and flexible detection of tandem repeats in DNA. Nucleic Acids Res. 2003, 31: 3672-3678. 10.1093/nar/gkg617.PubMed CentralPubMedView ArticleGoogle Scholar
- BLAST: Basic Local Alignment Search Tool. [http://blast.ncbi.nlm.nih.gov/]
- Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000, 25: 25-29. 10.1038/75556.PubMed CentralPubMedView ArticleGoogle Scholar
- Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Das U, Daugherty L, Duquenne L, Finn RD, Gough J, Haft D, Hulo N, Kahn D, Kelly E, Laugraud A, Letunic I, Lonsdale D, Lopez R, Madera M, Maslen J, McAnulla C, McDowall J, Mistry J, Mitchell A, Mulder N, Natale D, Orengo C, Quinn AF, Selengut JD, Sigrist CJA, Thimma M, Thomas PD, Valentin F, Wilson D, Wu CH, Yeats C: InterPro: the integrative protein signature database. Nucleic Acids Res. 2009, 37: D211-215. 10.1093/nar/gkn785.PubMed CentralPubMedView ArticleGoogle Scholar
- Finn RD, Mistry J, Tate J, Coggill P, Heger A, Pollington JE, Gavin OL, Gunasekaran P, Ceric G, Forslund K, Holm L, Sonnhammer ELL, Eddy SR, Bateman A: The Pfam protein families database. Nucleic Acids Res. 2010, 38: D211-222. 10.1093/nar/gkp985.PubMed CentralPubMedView ArticleGoogle Scholar
- Poole RL: The TAIR database. Methods Mol Biol. 2007, 406: 179-212.PubMedGoogle Scholar
- Populus trichocarpa Genome Browser: PTR15:228635..254155. [http://urgi.versailles.inra.fr/cgi-bin/gbrowse/populus_PTR_pub/]
- Grape Genome Browser. [http://www.cns.fr/externe/GenomeBrowser/Vitis/]
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