- Research article
- Open Access
An examination of targeted gene neighborhoods in strawberry
© Davis et al; licensee BioMed Central Ltd. 2010
Received: 26 August 2009
Accepted: 4 May 2010
Published: 4 May 2010
Strawberry (Fragaria spp.) is the familiar name of a group of economically important crop plants and wild relatives that also represent an emerging system for the study of gene and genome evolution. Its small stature, rapid seed-to-seed cycle, transformability and miniscule basic genome make strawberry an attractive system to study processes related to plant physiology, development and crop production; yet it lacks substantial genomics-level resources. This report addresses this deficiency by characterizing 0.71 Mbp of gene space from a diploid species (F. vesca). The twenty large genomic tracks (30-52 kb) captured as fosmid inserts comprise gene regions with roles in flowering, disease resistance, and metabolism.
A detailed description of the studied regions reveals 131 Blastx-supported gene sites and eight additional EST-supported gene sites. Only 15 genes have complete EST coverage, enabling gene modelling, while 76 lack EST support. Instances of microcolinearity with Arabidopsis thaliana were identified in twelve inserts. A relatively high portion (25%) of targeted genes were found in unanticipated tandem duplications. The effectiveness of six FGENESH training models was assessed via comparisons among ab initio predictions and homology-based gene and start/stop codon identifications. Fourteen transposable-element-related sequences and 158 simple sequence repeat loci were delineated.
This report details the structure and content of targeted regions of the strawberry genome. The data indicate that the strawberry genome is gene-dense, with an average of one protein-encoding gene or pseudogene per 5.9 kb. Current overall EST coverage is sparse. The unexpected gene duplications and their differential patterns of EST support suggest possible subfunctionalization or pseudogenization of these sequences. This report provides a high-resolution depiction of targeted gene neighborhoods that will aid whole-genome sequence assembly, provide valuable tools for plant breeders and advance the understanding of strawberry genome evolution.
Strawberry is the familiar name of a valuable genus [Fragaria spp. (Rosaceae)] comprising cultivated plants that produce popular and nutritious fruits, as well as wild plant species that populate many areas of the northern hemisphere and South America. The genus contains a diversity of species representing ploidy levels from diploid to decaploid [1, 2]. The octoploid (2 n = 8 x = 56) genome composition of the cultivated strawberry, Fragaria × ananassa, places this hybrid species among the most genetically complex crop plants. Paradoxically, the ~200 Mbp size of the basic (x = 7) strawberry genome [3, 4] ranks among the lowest of crop plant C values. The discordance between small basic genome size and wide ranging genomic complexities makes Fragaria a unique system in which to study the effects of reticulate evolution, polyploidization, domestication, and breeding on genes and genomes.
While the cultivated strawberry's genome is complex, extant diploid species provide the opportunity to analyze simpler yet relevant genomes as appropriate comparators to the cultivated octoploids. The widely distributed diploid (2 n = 2 x = 14) species Fragaria vesca has been implicated as an ancestral subgenome donor to the octoploid strawberries: F. ×ananassa and its immediate ancestors F. chiloensis and F. virginiana . Thus, F. vesca provides an outstanding system for addressing genetic and genomic questions relevant to the octoploid strawberries, as well as to the entire Rosaceae family . Existing genomics resources for F. vesca include mapping populations and linkage maps [7, 8], an efficient genetic transformation system for reverse genetics [9, 10], growing EST support , and forthcoming whole-genome sequence information .
Large scale projects aimed at sequencing the complete genomes of many crop and model plant species have been preceded by smaller scale efforts that informatively sample and annotate limited but representative genomic regions. Examples include the sequencing of: an initial 1.9 Mb contig from Arabidopsis thaliana chromosome 4 , constituting about 1.4% of the 140 Mbp Arabidopsis genome; six BAC clones, comprising 592 kb or 0.06% of the 950 Mbp tomato genome ; and BAC ends that generated 17 Mb of sequence or 4.7% of the 372 Mbp papaya genome . Detailed analysis and annotation of these genomic sequence samples provided initial insights into genome composition, gene number, and other parameters that could help to guide, or in some cases physically anchor, a subsequent complete genome sequencing project.
In a companion paper , we examined a random sampling of 30 F. vesca genomic sequence segments comprising ~1.0 Mb, or ~0.5% of the F. vesca genome. The key resource for that and the present study was a fosmid library from F. vesca; constructed from physically sheared and blunt-end cloned genomic DNA fragments from F. vesca ssp. americana 'Pawtuckaway' [17, 18]. On the basis of that representative genomic sampling, we concluded that the F. vesca genome contains about 30,500 protein-encoding genes, plus > 4700 truncated gene fragments. Over 30 new repeat families were identified, the most common of which were long terminal repeat (LTR) retrotransposons. Total transposable element (TE) content of the F. vesca ssp. americana genome was estimated to be at least 16%.
In the present study, our aim was to examine a specific set of genomic sequences and gene neighborhoods, targeted for study because they contain genes of likely relevance to horticultural and fruit quality traits, with emphasis on metabolic pathways, flowering-related genes, and disease resistance-related genes. The alcohol dehydrogenase (ADH) was targeted on the basis of its use in ongoing phylogenetic studies in Fragaria [4, 19], and for its historical status as the first protein-encoding gene to be sequenced in strawberry . The granule-bound starch synthase I (GBSSI) gene was also of interest relevant to its use in phylogenetic studies of Fragaria  and the Rosaceae .
Our approach necessarily differed from that of the previous study , because our focus was on the features of specifically targeted genomic sites rather than on representative genomic sampling. We herein present a detailed description of 20 genomic regions comprising 0.71 Mb of DNA sequence. This description encompasses the identification and annotation of putative genes, pseudogenes, and repetitive elements. It is expected that the results reported herein will be of particular value to plant biologists interested in the studied genes and the traits to which they may relate, and to molecular breeders pursuing the genetic improvement of strawberry and/or other members of the Rosaceae family.
The CTAB isolation procedure produced genomic DNA fragments in the 40 kb size range, evidently a consequence of random, procedure-induced physical shearing. Following end-repair, this genomic DNA was used in a single ligation reaction to construct the fosmid library, which consisted of 33,295 clones arrayed in eighty-seven 384-well plates and spotted in ordered pairs onto multiply replicated sets of two high-density filters.
Features and GenBank accession numbers of sequenced fosmids.
Insert length (bp)
Number of contigs
NBS-LRR Resistance-like gene
SUPPRESSOR OF CONSTANS I
NBS-LRR Resistance-like gene
NBS-LRR Resistance-like gene
NBS-LRR Resistance-like gene
LRR Resistance-like gene
GRANULE-BOUND STARCH SYNTHASE-I
REGULATOR OF ANTHOCYANIN SYNTHESIS
Fosmid Insert Sequences
Uninterrupted insert sequences bounded by vector ends were obtained from 13 of 20 fosmid clones. These insert contigs ranged in length from 29,623 bp to 42,439 bp (Table 1). Of the remaining 7 clones, sequence assembly generated two (2 clones) or three (5 clones) ordered contigs (Table 1). For the 7 multi-contig clones, the sum of contig sequence lengths varied from 31,107 bp to 44,532 bp. The total length of insert sequence generated from the 20 selected fosmids was 708,363 bp, or an average of 35,418 bp per insert. These sequences have been deposited into GenBank under the accession numbers listed in Table 1.
Identification of Genetic Elements
FGENESH gene predictions and comparisons to homology-based inferences.
Validated starts + stops
Instances of micro-colinearity or conserved microsynteny between F. vesca and A. thaliana.
Blastx E value
E = 8.3e-30
OCP3 (OVEREXPRESSOR OF CATIONIC PEROXIDASE 3)
E = 4.0e-31
HY5 (ELONGATED HYPOCOTYL 5); DNA binding/transcription factor
E = 2.3e-39
CESA1 (CELLULOSE SYNTHASE 1); transferase, transferring glycosyl groups
E = 7.0e-160
SHS1 (SODIUM HYPERSENSITIVE 1); binding/transporter
E = 1.5e-76
floral homeotic protein AP3
E = 7.8e-25
putative protein (embryo defective 1967)
E = 1.8e-39
ATP-dependent DNA helicase, putative
E = 3.2e-38
E = 6.4e-31
xanthine/uracil permease family protein
E = 0
E = 9.7e-53
SMC2 (STRUCTURAL MAINTENANCE OF CHROMOSOMES 2) (AtSMC2-1) (AtSMC2-2)
E = 5e-83
E = 1.0e-80
ATNOA1/ATNOS1/NOA1/NOS1 (nitrous oxide synthase 1)
E = 3.0e-34
disease resistance protein (CC-NBS-LRR class), putative
E = 5.8e-56
E = 1.0e-54
disease resistance protein (CC-NBS-LRR class), putative
E = 6.5e-63
E = 1.2e-59
disease resistance protein (CC-NBS-LRR class), putative
E = 3.9e-90
E = 1.9e-89
terpene synthase/cyclase family protein
E = 2.1e-55
terpene synthase/cyclase family protein
E = 2.4e-56
zinc ion binding
E = 8.0e-164
protein kinase, putative
E = 2.5e-153
E = 1.2e-25
E = 6.6e-9
EMB1138 (EMBRYO DEFECTIVE 1138); ATP binding/ATP-dependent helicase
E = 7.0e-82
E = 1.0e-8
E = 8.2e-27
E = 1.3e-8
E = 2.3e-25
E = 1.7e-9
AGL42 (AGAMOUS LIKE 42); transcription factor
E = 1.3e-22
E = 6.9e-19
DNA binding/binding/protein binding/zinc ion binding
E = 1.2e-44
E = 0
E = 8.5e-41
terpene synthase/cyclase family protein
E = 1.2e-123
PTAC6 (PLASTID TRANSCRIPTIONALLY ACTIVE6)
E = 2.6e-54
wound-responsive family protein
E = 3.9e-14
Summary of SSR data.
Number of SSR loci
SSRs per Mb
Each Fosmid Figure consists of five parts (see Figure 2). Part A depicts the ab initio predictions of the six FGENESH training models. Part B depicts the output of Blastx homology searches of the NCBI protein database, delimited to Arabidopsis or Viridiplantae. Part C depicts the output of Blastn homology searches of the NCBI EST-Others database, delimited to the Rosaceae family. Fragaria EST matches are boxed. Part D provides a graphic representation of the annotated features of the respective fosmid insert, wherein each icon-coded gene site is coupled to its supporting evidence and FGENESH predictions (if any) by a vertical, gray stripe. Part E depicts the locations, sequence motifs, and repeat numbers of SSR loci. Finally, each Fosmid Figure is accompanied by an abbreviated spreadsheet that provides information about the annotated gene sites, including strand assignments, putative start and stop codon sites, and putative gene product identity. A more detailed listing of the homology-based evidence supporting each gene site identification is provided in Additional file 1: Fosmid Gene Content Annotation.
Ab initiopredictions (Fosmid Figures: Part A)
The number of predicted protein-encoding genes varied considerably among the six FGENESH models (Table 2), ranging from a low of 115 (Mt model) to a high of 208 (Nt model), with an overall mean of 152.5. As detailed below, the subsequent generation of a set of homology-based inferences provided a basis for comparison with the outputs of the six ab initio models.
Blastx homology (Fosmid Figures: Part B)
Blastx searches of the NCBI Arabidopsis and Viridiplantae protein databases, employing the fosmid inserts as query sequences, were used to identify protein-encoding gene sites, including intact genes, pseudogenes, and TE-related proteins. Using a conservative cutoff of e = 10-10 , a total of 123 gene sites were identified, while a less conservative cutoff of e = 10-5 yielded eight additional gene sites. With reference to their best Blastx matches, 11 gene sites encoded TE-related proteins (reverse transcriptase, transposase, polyprotein, etc.), 100 encoded proteins with tentative or definitive functional identities, and 20 encoded "unknown proteins". The inferred strand assignments of each of these 131 genes sites are provided in the Fosmid Figures and in Additional file 1: Fosmid Gene Content Annotation, Column C.
Blastn homology to Fragariaand Rosaceae ESTs (Fosmid Figures: Part C)
In total, Blastn searches of the NCBI Rosaceae EST database (conducted prior to June 1, 2009) recovered 128 "top-tier" (≥ 95% sequence identity) EST matches, of which 126 were from Fragaria (F-ESTs) [Additional file 1: Fosmid Gene Content Annotation, Columns K, L, M, N, O and P] and two were from Rosa. Top-tier F-EST coverage varied considerably among the 131 Blastx-inferred gene sites. Fifty-five gene sites had one or more top-tier F-EST matches, while 76 had none. Fifteen genes sites had complete EST coverage [Additional file 1: Fosmid Gene Content Annotation - coded in red], providing a basis for establishing gene models, as addressed below. Numerous "second-tier" (85-94% identity range) ESTs from Fragaria and other rosaceous species (including Malus, Prunus, Rosa, Rubus, and Pyrus) occurred at many of the identified gene sites [Additional file 1: Fosmid Gene Content Annotation, Columns Q, R and S], and elsewhere within the fosmid sequences. The second tier F-ESTs were denoted by rounded boxes in the Fosmid Figures.
Several top-tier F-EST matches occurred at genomic sites that lacked Blastx matches and FGENESH predictions. Six such gene sites occurred at fosmid insert boundaries, where the match comprised a 5' or 3' UTR sequence but little or no coding sequence. In the absence of recognizable coding sequence within the fosmid boundaries, these putative gene sites were invisible to FGENESH and Blastx. Additionally, two F-EST sites that lacked Blastx matches and FGENESH predictions occurred internally in the inserts. Gene site 9 in fosmid 08G19 (Figure 12) was defined by F-ESTs [GenBank: DY667692 and DY674185], and gene site 3 in fosmid 52B01 (Figure 15) was also defined by an F-EST [GenBank: DY670302]. These F-ESTs lacked obvious ORFS, and Blastx searches using the ESTs themselves as queries obtained no quality matches. Thus, the F-ESTs in question may be non-coding, or may encode previously undescribed proteins.
Comparison of ab initiopredictions and homology-based inferences
Homology-based inferences of gene site numbers and locations and of start and stop codon positions provided a basis for evaluating the differing outputs of the six FGENESH ab initio models. As previously noted, the number of predicted genes varied considerably among ab initio models (Table 2). As compared with the number of 131 Blastx inferred gene sites, the Mo (115) and Vv (121) models under-predicted, while the remaining models over-predicted the number of protein-encoding genetic elements.
Under-prediction was primarily due to "gene merging": the prediction of one large gene over a region wherein two or more separate genes were detected by homology search (e.g., Figure 11, gene sites 2 and 3). The Vv model generated a high of 16 such "gene mergers", involving a total of 38 Blastx-inferred genes, while the Nt model generated only 3 gene mergers, involving 7 Blastx-inferred genes (Table 2). Over-prediction was primarily due to absence of homology-based evidence of gene location at some sites of ab initio prediction. The number of non-validated ab initio predictions ranged from a high of 65 (Nt) to a low of 9 (Mo) (Table 2).
For each of the Blastx-identified genes, start and stop codon positions were inferred on the basis of homology searches supplemented by manual examination of reading frames as displayed by SeqBuilder (DNAStar), utilizing comparisons to F-ESTs wherever possible. This homology-based analysis established the putative locations of 93 start and 92 stop codons.
The discrepancy between the homology based inference of 131 gene sites and the substantially lesser numbers of inferred start and stop codon locations was attributable to several factors. Nineteen of the 131 gene sites were artifactually truncated at their 5' or 3' ends, either by a fosmid end or by a contig gap. Because no contig gaps interrupted genes of specific interest, effort was not invested in closing these gaps, with the expectation that they soon will be closed by the anticipated whole genome sequencing of Fragaria vesca. Another obstacle was "biological truncation" , in which a terminal segment of a coding region is missing due to deletion or rearrangement. As many as 20 of the identified gene sites appeared to be truncated pseudogenes, as evidenced by substantial shortening of the predicted protein as compared with its putative Arabidopsis homolog. Of the 11 TE-related gene sites, only one start codon and two stop codons could be identified. Lack of EST support also precluded establishment of start and/or stop codon positions in many genes.
When the homology-inferred 93 start and 92 stop codon locations were compared to those predicted for the respective genes by the FGENESH models (Table 2), the highest number of start and stop codon agreements were, respectively, 80 (At and Mt) and 72 (Mt). The lowest numbers, respectively, were 65 (Vv) and 62 (Vv). Among the six FGENESH models, the closest overall agreement with our homology-based inferences of start and stop codon positions was provided by the Mt model, with the At model a close second best (Table 2).
Using the GeneSeqer program, intron locations were determined in each of the 15 genes for which complete coding sequence (cds) EST coverage was available. This information, in combination with previously detailed determinations of start and stop codon locations, provided a basis for defining gene models [Additional file 2: Gene Models]. Among the 15 modeled genes, intron number ranged from zero to nine per gene, with a mean of 2.87. The intron size range, from 84 bp to 933 bp, approximated a Poisson distribution, with 23 of 43 introns falling below 150 bp in length and 30 falling below the mean intron size of 289 bp [Additional file 2: Gene Models].
A central objective of this project was to obtain the complete genomic sequences of a suite of targeted genes that were of potentially broad interest to the Fragaria/Rosaceae research community and industry. Each fosmid clone contained a gene site that clearly corresponded, with ≥ 98% nucleotide sequence identity, to its respective hybridization probe. Each of the targeted genes was contained entirely within the respective fosmid boundaries, providing knowledge of promoter and other flanking regulatory sequences. Noteworthy features of these targeted genes are described below, with the expectation that they will be the subjects of intensive follow-up studies.
Chalcone Synthase (CHS)
Two adjacent copies of the CHS gene are present in head-to-tail orientation on minus strand of fosmid 73I22 (Figure 2). For purposes of discussion only, we provisionally designate the downstream and upstream gene copies as CHS-1 and CHS-2, respectively. Six F-ESTs were identified that provide top-tier matches to one or both of these gene copies. Three F-ESTs best match CHS-1, and three best match CHS-2, uniquely providing full F-EST coverage to each gene copy. The resulting gene models, each displaying the presence of one intron, are provided in Additional file 2: Gene Models. A comparison of CHS-1 and CHS-2 coding sequences showed them to have 95% nucleotide sequence identity and 98% predicted amino acid sequence identity. In contrast, the nucleotide sequences of the single intron of each gene shared only 55% identity.
Chalcone Isomerase (CHI)
Fosmid 48I08 (Figure 3) contains a single CHI gene (site 4). Two top-tier F-ESTs provide complete coding sequence coverage, with the resulting gene model displaying the presence of three introns [Additional file 2: Gene Models].
Dihydroflavonol 4-Reductase (DFR)
Fosmid 53O08 (Figure 4) contains a single DFR gene. Four top-tier F-ESTs provide complete cds coverage, with the resulting gene model displaying the presence of five introns [Additional file 2: Gene Models].
Regulator of Anthocyanin Synthesis (RAN)
Fosmid 76C08 (Figure 5) was selected by a probe targeted to a Del-like regulatory gene designated as RAN in strawberry . The probe sequence has 98% nucleotide identity to a region of gene site 6 on the same fosmid. In taxon-delimited Blastx searches, this gene site had the following best protein matches: GL3 (GLABRA 3) and transcription factor (bHLH 1) (Arabidopsis); and myc-like anthocyanin regulatory protein (Viridiplantae). One top-tier F-EST match provides partial EST coverage for this gene.
Other metabolism-related genes
Alcohol Dehydrogenase (ADH)
Two adjacent copies of the targeted ADH gene are present in head-to-head orientation on fosmid 14K06 (Figure 6). The gene copy on the plus strand (site 4) corresponds to the originally sequenced ADH gene from F. ×ananassa , in recognition of which we designate it ADH-1. This gene copy had no F-EST support. The gene copy on the minus strand (site 3), which we designate ADH-2, had four matching F-ESTs, providing full coding sequence coverage. The resulting gene model is provided in Additional file 2: Gene Models. There is 85% identity between the inferred amino acid sequence of ADH-2, and the previously defined amino acid sequence of ADH-1 , while the coding sequences of these two genes have 77% nucleotide identity. Both ADH-1 and ADH-2 have nine introns, and between the two genes the corresponding intron sequences are so divergent as to preclude meaningful alignment.
Granule-Bound Starch Synthase-I (GBSSI)
Fosmid 52I20 (Figure 7) contains a single GBSSI gene (site 7). Of the two GBSSI genes known in Fragaria (5), this is GBSSI-1. Three top-tier F-ESTs provide EST coverage of this gene's 5' and 3' ends.
Terpene Synthase (TPS)
Two fosmids with differing restriction digestion patterns were selected by their hybridization to the TPS probe. Fosmid 41O22 (Figure 8) contains two TPS genes (sites 2 and 4), while fosmid 53J04 (Figure 9) contains one TPS gene (site 6). None of the three identified TPS genes have top-tier F-EST matches. A single Fragaria EST Blastn match [GenBank: CO817558], has only 94% nucleotide sequence identity to each of the three identified TPS genes, suggesting that this EST may be the transcript of an additional TPS gene in the Fragaria genome. Intriguingly, each TPS gene has as its immediate downstream neighbor a pentatricopeptide (PPR) gene, in tail-to-tail orientation. In fosmid 40I22 the 5' ends of both PPR genes appear to be truncated, while the PPR gene in fosmid 53J04 appears to have a full length coding sequence.
Two adjacent copies of the PISTILLATA gene were present in head-to-tail orientation on the minus strand of fosmid 76K13 (Figure 10). The gene copy at site 2, which we designate as PISTILLATA-1, had two matching top-tier F-ESTs, providing full coding sequence coverage. The PISTILLATA-1 gene model, which contains six introns, is presented in Additional file 2: Gene Models. The gene copy at site 3, designated PISTILLATA-2, had no matching F-ESTs. A partial Fragaria homolog of the Arabidopsis EFS (EARLY FLOWERING IN SHORT DAYS) gene resides at gene site 1. Thus, fosmid 76K13 captures members of a multi-gene cluster that may play a complex role in the regulation of flowering in Fragaria. Notably, in Arabidopsis the PISTILLATA gene is not tandemly duplicated, and it resides at a locus (At5g20240) unlinked to that of the EFS gene (At1g77300).
Fosmid 10B08 (Figure 11) contains a single copy of the LEAFY gene (site 1). This gene had no top-tier F-EST matches, or any high percentage EST matches in any Rosaceae species.
Fosmid 08G19 (Figure 12) contains a single copy of the AP3 gene (site 2). This gene had no top-tier F-EST matches.
Phytochrome A (PHYA)
Fosmid 51F10 (Figure 13) contains a single copy of the PHYA gene (site 5). This gene had no top-tier F-EST matches.
Elongated Hypocotyl 5 (HY5)
Fosmid 01I13 (Figure 14) contains a single copy of the HY5 gene (site 6). Three top-tier F-ESTs provide complete cds coverage. The HY5 gene model, which contains two introns, is presented in Additional file 2: Gene Models.
Fosmid 52B01 (Figure 15) contains a single copy of a targeted gene (site 5) that has the COL-2 (CONSTANS-LIKE 2) protein as its best Arabidopsis Blastx match. Four top-tier F-ESTs provide complete coding sequence coverage. The respective gene model, which contains one intron, is presented in Additional file 2: Gene Models.
Suppressor of Constans Overexpression (SOC)
In fosmid 19H07 (Figure 16), the probe hybridization was to gene site 4, which has the Arabidopsis AGL20 (SOC1) SUPPRESSOR OF CONSTANS OVEREXPRESSION 1 protein as its best Arabidopsis Blastx match. This gene has one top-tier F-EST match that provides partial coding sequence coverage, but not of the 5' end, thus leaving the start codon site undetermined. Also on fosmid 19H07, gene sites 6 and 7 both have best Blastx homology to the Arabidopsis AGL6 (AGAMOUS LIKE-6) gene, but appear to be truncated at their 3' ends and have no top-tier F-EST matches. Yet interestingly, a Fragaria vesca SOC 1 protein sequence [GenBank: ACR24128 see http://www.ncbi.nlm.nih.gov/protein] identified by Blastx search, has very high homology at its C terminal end to gene site 4, and at its N terminal end to gene sites 6 and 7. Thus, gene site(s) 6 and/or and 7 may actually constitute the 5' end(s) of the F. vesca SOC gene - a hypothesis that will attract further investigation.
NBS-LRR disease resistance-like genes
Fosmid 34E24 (Figure 17) contains a cluster of NBS-LRR disease resistance-like genes. Three of these are apparently full length NBS-LRR resistance-like genes (sites 4, 6, and 7), each of which has strong Blastx homology to the protein products of both members of a tandemly duplicated pair of Arabidopsis loci: At5g66900 and At5g66910. Additionally, gene site 3 is an apparently truncated resistance-like gene. Two F-ESTs provide top-tier matches to the internal region of gene site 4, while two other F-ESTs (including the probe source [GenBank: DV439384]) provide top-tier matches to the 5' and 3' ends of gene site 6, providing evidence that these two genes are transcribed.
Fosmid 19M24 (Figure 18) contains a pair of NBS-LRR disease resistance-like genes (sites 2 and 3). Both have among their top Blastx matches an Arabidopsis NBS-LRR resistance-like protein encoded by locus At4g12010. One F-EST provides a top-tier match to the 3' end of gene site 2.
Two fosmids with differing restriction digestion patterns were selected by their hybridization to the genomic gRGA2 probe. In fosmid 13I24 (Figure 19), the probe target is gene site 1. This gene has one marginally top-tier F-EST match (95.08% identity) that provides coverage mostly of the 3' UTR. In fosmid 32L07 (Figure 20), the probe target is gene site 4, which has one top-tier F-EST match. The indicated gene sites on both fosmids show sequence similarity to NBS-LRR resistance-like proteins encoded by both members of tandemly duplicated Arabidopsis loci At3g14460 and At3g14470.
LRR disease resistance-like gene
Fosmid 49M15 (Figure 21) was selected by its hybridization to the probe gLRR at gene site 4a. This gene site had as its best Blastx match a disease resistance family protein encoded by Arabidopsis locus At2g34930, and had no top-tier F-EST matches. The 3' structure of this gene is ambiguous, with evidence from a Malus (apple) cDNA sequence suggesting that this gene may be transcriptionally merged with the neighboring squalene epoxidase-like gene (site 4b).
Micro-colinearity with Arabidopsis
By cross-referencing Arabidopsis proteins identified by Blastx to their respective physical map positions, instances of microcolinearity or conserved microsynteny with Arabidopsis thaliana were identified in twelve fosmids, involving a total of 36 putative Fragaria genes (Table 3). As an example of microcolinearity in fosmid 08G19 (Figure 12), Fragaria genes 2 and 3 are homologous to Arabidopsis loci At3g54340 and At3g54350. As examples of interrupted colinearity but conserved microsynteny, Fragaria genes 4 and 6 in fosmid 76K13 (Figure 10) are homologous to Arabidopsis loci At1g21600 and At1g21610, while Fragaria genes 5 and 6 in fosmid 10B08 (Figure 11) are homologous to Arabidopsis loci At1g27880 and At1g27850.
Two full length COPIA-type LTR retrotransposons were identified: one on fosmid 14K06 (Figure 6 - site 2) and one on fosmid 19M24 (Figure 18). Single Mutator-like elements were identified on fosmids 10B08 (Figure 11) and 52B01 (Figure 15 - site 2). Gene sites 4 and 1 on fosmids 73I22 (Figure 2) and 76C08 (Figure 5), respectively, encoded putative reverse transcriptase-related proteins, while gene sites 1 and 5 on fosmids 14K06 (Figure 6) and 49M15 (Figure 21), respectively, encoded transposase-like proteins. Blastx searches detected retroviral polyprotein-like sequences on fosmids 08G19 (Figure 12 - site 7), 19H07 (Figure 16 - site 8), 53J04 (Figure 9 - site 7), and 53O08 (Figure 4 - site 4).
Any uninterrupted tract of five or more identical repeat units (of repeat length ≤ 5 nucleotides) was counted as an SSR by the SSRIT analysis. Part E of each Fosmid Figure depicts the locations, motif sequences, and repeat lengths of these SSR sites. The number of SSR sites per fosmid insert varied from zero (fosmid 32L07 - Figure 20) to 19 (fosmid 49M15 - Figure 21). The total number of qualifying SSRs found in the 20 targeted fosmid inserts was 158, giving an average SSR distribution of ~1 per 4.5 kb (Table 4). There were 123 di-nucleotide repeat SSRs and 35 tri-nucleotide repeats, and no tetra- or penta- nucleotide repeats. Of SSRs with repeat numbers of 18 or more, two were AT (= AT and TA) repeats and 13 were AG (= AG and CT) repeats. The eight longest SSR tracts were all AG repeats, ranging from 24 to 38 repeats. Among tri-nucleotide repeat types, AAG (= AAG, AGA, and GAA) repeats were by far the most common. The numbers/frequencies of the various SSR repeat types are summarized in Table 4.
Our evaluation of targeted gene space in the strawberry diploid species, Fragaria vesca, unveils new knowledge about 20 important genomic neighborhoods: information that can guide a diversity of gene- or trait-specific investigations, and facilitate site-specific molecular marker development. Moreover, the cumulative generation of over 1.75 Mb of genomic sequence by the present investigation of 20 gene-targeted sites and its companion study of 31 randomly selected sites , provides an invaluable baseline of robustly assembled and carefully annotated Sanger sequence data to which future Next Generation data sets and high throughput bioinformatic analyses can be compared and assessed. We anticipate that the experience gained through this effort will contribute valuable perspective, precedent, and impetus to whole genome sequencing efforts in Fragaria.
Although our assessment of gene content ultimately relied on homology-based methods, ab initio predictions provided an illuminating framework within which to organize and interpret homology-based determinations. In undertaking a comparison of the six higher plant ab initio training models (Arabidopsis, Medicago, monocot, Nicotiana, Lycopersicon, Vitis) accessible on Softberry's FGENESH website , we hypothesized that the taxa most closely related phylogenetically to Fragaria would provide the best training models for our analysis. According to the most recent release of the Angiosperm Phylogeny Group , the ordered phylogenetic distances of the six training model taxa from Fragaria (order Rosales) are (closest to most distant) Medicago (Fabales) < Arabidopsis (Brassicales) < Vitis (Vitales) < Nicotiana and Lycopersicon (Solonales) < monocots. By one measure, the "accurate" prediction of start and stop codons, the Medicago (Mt) model was marginally better than the Arabidopsis (At) model, and both of these surpassed the remaining four predictive models. It would be of considerable interest to know whether and to what extent an FGENESH model trained on Rosaceae sequence data would outperform the Mt and At models for predictive analysis of Fragaria sequence; however, such a model was not available for the present study.
Our analysis indicated that the six FGENESH models were variably prone to over-prediction, under-prediction, gene-merging, and/or gene-splitting. However, with knowledge of these tendencies in hand, the overall perspective provided by comparisons among these disparate models provided a useful backdrop to the interpretation of homology-based analyses, helping to draw attention to structural anomalies worthy of further exploration. On balance, our experience suggests that integrated consideration of all six FGENESH model outputs provided maximal insight into the genetic content of the studied Fragaria sequences. As easily visualized by viewing a broad sampling of the Fosmid Figures, the FGENESH models were in substantial agreement in some genomic regions, but at considerable variance in others. Yet such disagreements are themselves informative, potentially drawing attention to sites of unconventional functionality.
The genomic frequency of gene sites identified in our study of 20 gene-targeted fosmid clones is similar to that found in 31 randomly selected clones from the same genomic library . Discounting 11 TE-related gene sites, the present study identified 120 protein encoding genes and pseudogenes within a total of ~708 kb, or an average of one gene site per 5.9 kb. Similarly, the companion study identified 182 gene sites in 1,035 kb, or one gene per 5.7 kb . That an intentional focus on gene-rich, as opposed to randomly selected, genomic sites yielded similar protein-encoding gene densities is consistent with the finding that TE and other repetitive sequence content in the F. vesca genome is quite low , and that most of this genome is, in fact, gene rich.
A surprising finding in the present study was the number of targeted genes, as well as non-targeted genes, that were tandemly duplicated. Full length tandem gene duplications of targeted genes were seen in fosmids 14K06 (ADH), 73I22 (CHS), 41O22 (TPS), 76K13 (PISTILLATA), 19M24 (NBS-LRR resistance-like), and 34E24 (NBS-LRR resistance-like). Tandem or near-tandem duplications of genes or gene fragments not targeted by probes were also seen. Such duplications involved apparently truncated pseudogenes on fosmids 13I24 (CIPK20 KINASE), 32L07 (SMC2), and 41O22 (pentatricopeptide containing protein). On fosmid 08G19, two apparently full-length copies of a small basic intrinsic protein gene flanked a retroelement-like sequence. Although the clustering and neighboring duplication of disease resistance-like genes is a well-known phenomenon in plants , it is noteworthy that, excluding the resistance-like genes, none of the homologues to the tandemly duplicated Fragaria genes enumerated above were themselves tandemly duplicated in Arabidopsis.
EST support varied with respect to the members of tandem gene duplicates. Substantial EST support existed for both CHS copies. In contrast, EST support was lacking for ADH-1, but was sufficient to allow definition of a gene model for ADH-2. Only one of the two Pistillata copies had top-tier EST support. Similarly, only one of the two tandemly duplicated NBS-LLR resistance-like genes on fosmid 19M24 had any top-tier EST support, while no such EST support existed for either TPS copy on fosmid 41O22 or for the single copy on fosmid 53J04. The absence of EST support for one or both members of a tandemly duplicated gene pair might be the consequence of differential expression patterns, or might simply be attributable to sampling bias in the existing Fragaria EST database, wherein most of the currently available sequences are from whole seedlings of Fragaria vesca subjected to a handful of stressors. Alternately, absence of EST support might be indicative of mutational gene silencing, which is one of several possible evolutionary fates of duplicated genes . Resolution of these possibilities awaits the much needed expansion of the Fragaria EST database to include a comprehensive diversity of tissue types, and representation of influence by a broad spectrum of environmental variables.
The complete elucidation of candidate gene sequences from strawberry opens many opportunities to now test functional predictions as they relate to plant productivity. Clearly the information identified from analysis of LEAFY, SOC, PHYA, HY5 and CO all may present a means to now translate information about flowering from Arabidopsis and other species to strawberry. Strawberry species exhibit a wide range of photoperiodic behaviors. These are of intense interest to breeders as photoperiod sensitivity strongly dictates the utility of a given cultivar.
Anthocyanin pigmentation is an important aspect of fruit color and quality, but also can be a factor in stress resistance and other physiological functions and environmental interactions throughout the plant . The identified CHS, CHI, DFR, and RAN genes are likely to be factors in many aspects of anthocyanin pigment composition and spatiotemporal distribution. Along with the anthocyanin pathway gene products, terpene synthases play a demonstrated role in flavor and fragrance as aspects for fruit quality, also making them of interest to strawberry breeders.
Two other metabolic genes, ADH and GBSSI, were of interest because of their widespread usage in plants , and their specific recent usage in Fragaria [5, 19, 29], for phylogenetic analysis. The finding that the ADH gene is tandemly duplicated in F. vesca, and the differential EST support for its two gene copies, further extends the potential interest in ADH as a focal point for comparative evolutionary studies in Fragaria. The GBSSI gene sequence described herein is that of GBSSI-1, as distinct from the GBSSI-2 gene used in the phylogenetic analysis of Fragaria by Rousseau-Gueutin et al. . The presence of at least two copies of the GBSSI gene is a general feature of the Rosaceae family .
Disease resistance genes are of central interest to plant breeders. Conserved segments of NBS-LRR resistance-like genes have been isolated from genomic DNA in many plant species, including strawberry , using degenerate primers targeted to conserved sites . The NBS-LRR and LRR resistance-like gene sequences we present here are the first complete genomic disease-resistance like gene sequences to be reported in strawberry.
As the number of sequenced genomes grows, various studies have examined gene arrangement between sequenced genomes in the interest of inferring evolutionary relationships. One recent study defined microsyntenic relationships by examining colinearity of Prunus (a close taxonomic neighbor of Fragaria), Populus, Medicago and Arabidopsis. A positive relationship was defined as a distance not less than 200 kb that contained four gene pairs . Comparisons using this approach relating Prunus and Arabidopsis genomes indicated that microsynteny is not well-conserved between these species. In the present study gene-pair relationships were examined between the genes ordered in the fosmids and the known gene order in Arabidopsis. Not surprisingly, similar results were obtained to those in the Prunus-Arabidopsis comparisons. The data in Table 3 indicate that out of the set of 20 fosmid clones, only nine shared evidence of potential gene-pair relationships with Arabidopsis.
The data agree well with the conclusions of Jung et al. . There are some clear special cases that should be considered carefully. The two adjacent genes on fosmid 34E24 are NBS-LRR genes. These are typically found as proximally located members of a multigene family, so it is not surprising that these would be detected as colinear in these analyses. Two fosmids contain strawberry terpene synthase genes, where Arabidopsis only has one. In both cases an immediate neighbor is an Arabidopsis gene, yet a gene found on different linkage groups. This finding indicates the possibility that the terpene synthase gene may have been a site for duplication in strawberry relative to a common ancestor, or perhaps a site of duplication within strawberry.
EST support and coverage
The genomic sequence analyzed provides a means to test gene prediction against actual gene-coding sequence, best estimated by analysis of EST relationships. Of the total predicted genes on all fosmids, approximately half (78/148) maintain >85% identity with an EST in the Viridiplantae database. When compared against ESTs from the Rosaceae even fewer matches were obtained, and those were typically from Malus, Rosa and Prunus where significant EST resources exist. Of all of the sequences featuring EST cognates, only fourteen genes have sufficient EST support to provide complete delineation of exon/intron boundaries as a basis for gene modeling, while 76 gene sites had no top-tier Fragaria EST support. Exemplifying the latter case, support was lacking for fosmid 08G19 gene 3 (Figure 12) and fosmid 10B08 gene 1 (Figure 11). The first is annotated only as an embryo defective transcript and the second is Leafy. Both of these are examples where transcripts may be expected to be found in specialized tissues and/or developmental contexts. Therefore, it is not surprising that representative cDNA sequences do not appear in the public databases, wherein over 90% of sequences represent seedling transcripts in response to abiotic stress.
Taken together, these findings indicate the need for more Fragaria EST coverage, especially from specific tissues and developmental states. EST coverage from other diploid species, such as Fragaria iinumae, will be helpful in the development of subgenome-specific markers in the cultivated strawberry Fragaria ×ananassa. The reciprocal condition also exists, where fosmid-based sequences have EST coverage, but it is either confined to the Rosaceae (no match in Viridiplantae) or possibly strawberry specific (no match beyond Fragaria). These uncharacterized expressed sequences are abundant in EST collections but were not identified in this study.
The identification of SSR loci for use as potential molecular markers for linkage mapping, marker assisted selection, and diversity studies has received considerable attention in Fragaria [33, 34]. A total of 158 SSRs of five or more homogeneous repeat tracts were identified. Of the di-nucleotide repeat motif types, AG and AT were by far the most common, as has also been reported in species as diverse as Arabidopsis and rice . Among tri-nucleotide repeat types, AAG was the most common, eclipsing the frequency of any other tri-nucleotide type by a factor of at least 2.8. AAG is also the most common tri-nucleotide repeat motif in Arabidopsis, while CCG is the most common type in rice .
The utilized SSRIT program counts only uninterrupted repeat tracts as SSRs. Thus, a continuous sequence such as (TCC)6TCT(TCC)5 (as in fosmid 14K06, SSRs D and E) would be counted as two SSRs by SSRIT because the two TCC tracts are interrupted by a TCT. From the perspective of PCR primer pair design for SSR marker genotyping, this and several other instances of close-proximity SSR tracts would have to be treated as a single SSR locus, amplified by a single primer pair. Thus, the total number of operationally defined SSR loci detected in the fosmid inserts is somewhat less than the total number of 158 counted SSRs. If any pair of SSR tracts separated by less than 100 bp is counted as constituting a single operational SSR locus for purposes of molecular marker development, there are 144 discrete SSR loci, with a frequency of 1 SSR locus per 4.9 kb, or about 200 SSR loci per Mb.
The current F. vesca linkage map  has a total length of 424 cM. Given the 206 Mb size of the F. vesca genome, there is an average ratio of 486 kb/cM. Extrapolating from these data, SSR loci are distributed in the F. vesca genome with a density of about 92 SSR loci per 1 cM of map distance, thus indicating that sufficient SSR loci exist to support the construction of SSR-based linkage maps to a resolution of well under 1 cM.
In this study, thirteen TE-related elements were detected on the basis of Blastx homology and structural analysis. A thorough analysis of TE-related and other repetitive element content in 31 random sequence samples comprising ~1 Mbp in F. vesca was presented in the companion study , while Ma et al.  reported the isolation of retroelement sequences from Fragaria ×ananassa. No top-tier EST support was found for any of the TE-related sequences identified in the present study or that of Ma et al. , and no evidence of contemporary TE transpositional activity has been reported to date in Fragaria.
Characterization of a targeted sampling of gene space in strawberry provides tremendous information that can be used on many levels. First, a comprehensive accounting of genic regions revealed by Sanger sequencing will inform and guide high throughput, whole genome sequencing efforts, and serve to anchor short-read sequencing assemblies. The focus on genes with known roles in biological processes relevant to agricultural production allows comparative study of these genes and their nascent transcripts, and development of markers for use in breeding and selection. The results allow contrast with other genomes, spotlighting the surprising tendency for gene duplications in strawberry. The detailed characterization of diploid strawberry gene space also is a reference point that will permit comparisons with other diploid and polyploid Fragaria species, further unveiling evolutionary relationships in this economically important genus.
Fragaria vesca ssp. americana variety 'Pawtuckaway' was collected from a site on Mt. Pawtuckaway in Deerfield, New Hampshire by T. M. Davis and S. Williamson, and was propagated and maintained in the Department of Biological Sciences Greenhouse facility at the University of New Hampshire (UNH). It has been donated to the National Clonal Germplasm Repository (NCGR)  in Corvallis, OR, wherein it is identified as accession CFRA 1948.001 (PI 657856).
Total genomic DNA was isolated from two grams of freshly harvested, unexpanded leaves from greenhouse-grown plants using a modified 2% CTAB protocol , but without addition of 100 μl 24:1 chloroform:octanol to the tissue slurry after grinding in liquid nitrogen. Modifications also included the addition of antioxidants (0.10% (w/v) ascorbic acid/0.13% (w/v) sodium metabisulfite (Na2O5S2), added to CTAB just prior to use, followed by incubation on ice rather than at 60°C. No steps were taken to exclude organelle DNA.
Fosmid Library Construction
Fosmid cloning was performed using the Epicentre CopyControl™ Fosmid Library Production Kit per the manufacturer's instructions (Epicentre, Madison, WI). End-repaired DNA (264 ng) was ligated into the CopyControl™ pCC1FOS™ fosmid vector (Epicentre), packaged, transfected into EPI300™-T1R E. coli cells (Epicentre), and the transformed cells were stored in a 20% glycerol freezing buffer at -80°C. Fosmid clones were robotically picked into 384-well plates (Genetix, Boston, MA) and spotted in duplicate onto Performa II high-performance, positively charged, nylon high-density filters (Genetix) using a Genetix Qbot at the Hubbard Center for Genome Studies (HCGS), UNH. Clones were grown in a 4% glycerol enriched LB freezing buffer, and stored at -80°C.
Probe Construction, Filter Hybridization, and Clone Selection
Labeled probes with an average size of 650 bp were synthesized by incorporation of Biotin-16-2'-deoxy-uridine-5'-triphosphate (Biotin-16-dUTP) (Roche, Indianapolis, IN) into PCR products. Primer pairs used in probe synthesis were designed using DNAStar LaserGene PrimerSelect Mac OS X 5.53 software, based on unpublished data generated in house, public domain Fragaria EST sequences, or conserved regions of orthologous genes. PCR reactions were prepared using MasterTaq kits (Eppendorf, Westbury, NY). Filters were hybridized using the Standard Hybridization protocol described in the NEBlot® Phototope® Kit (NEB, Ipswich, MA), with minor modifications. Probes were used in multiplexed sets of two to six. All clones to which protein-encoding, nuclear gene probes hybridized were subjected to confirmatory PCR screening using the same primer pairs used to generate the respective probes. When multiple clones were obtained for a single probe, clones were fingerprinted by restriction digestion, and insert ends were sequenced. Any clone in which the target gene was adjacent to and possibly truncated by the insert end was excluded from subsequent sequencing.
Fosmid Subcloning and Sequencing
Fosmid clones that were selected on the basis of positive hybridization to probes and further differentiated on the basis of end-sequences and restriction digests were subcloned and sequenced as described in Pontaroli et al. . Fosmid clones were sequenced to 14× redundancy, using an ABI 3700 capillary sequencer with T3 and T7 primers and ABI PRISM Big Dye Terminator chemistry (Applied BioSystems, Foster, CA). Base calling and quality assessment were done by using PHRED , and reads were assembled with PHRAP. Contigs were ordered using CONSED . Assembled insert sequences were deposited into the GenBank database .
For each fosmid, predictions of protein-encoding gene content, including start and stop codon predictions, were obtained using FGENESH (Softberry) , as trained on six reference models: Arabidopsis thaliana (At), Medicago sativa (Mt), Monocots (Mo), Nicotiana tabacum (Nt), Lycopersicon esculentum (Le), and Vitis vinifera (Vv). To obtain homology-based gene inferences, each fosmid sequence was subjected to Blastx and Blastn (NCBI)  queries of relevant GenBank databases using default parameters, except that "maximum target sequences" was set at 1000, and under formatting options, "graphical overview" was set at 1000 and the default low complexity filter was turned off. Blastx searches were done against the Arabidopsis thaliana and Viridiplantae databases, for the purposes of locating putative protein-encoding genes and assigning them to the plus or minus strand, inferring start and stop codon locations, and establishing putative gene identities. Blastn searches of the "EST others" database and limited to the Rosaceae family of plants were used to identify supporting ESTs in Fragaria and other rosaceous species as a means of further validating gene locations, inferring start/stop codon positions, and identifying expressed sites that lacked Blastx protein homology matches or FGENESH gene predictions. The locations of inferred start and stop codon sites were then compared to the start and stop codon locations predicted for the respective genes by each of the FGENESH models. Blastn and tBlastx searches of the Viridiplantae nr database were performed on a limited, ad hoc basis as needed to resolve questions that emerged from the systematic analyses. Gene models for genes with complete EST coverage were devised by integrating start and stop codon identifications with exon/intron boundary predictions generated independently using GeneSeqer .
The identification of transposable-element-like sequences employed a multifaceted approach. Full-length LTR retrotransposons were discovered by structural search using LTR_FINDER  and LTR_STRUC . Novel repeat elements were identified using RepeatModeler . Blastx was also used to discern TE-related protein-encoding sequences.
Simple sequence repeats (SSRs) were identified using SSRIT  with search parameters set for pentamers as the maximum repeat length and five as the minimum number of repeat units. The LaserGene ® suite of programs (DNASTAR) was used for various purposes, including visualization and annotation of reading frame translations, construction of EST contigs, and sequence alignments.
This is Scientific Contribution 2814 from the New Hampshire Agricultural Experiment Station (NHAES). This project was supported in part by grant # 2005-35300-15467 from the National Research Initiative Plant Genome Program of USDA's Cooperative State Research, Education and Extension Service.
- Ichijima K: Cytological and genetic studies on Fragaria. Genetics. 1926, 11 (6): 590-604.PubMedPubMed CentralGoogle Scholar
- Hummer KE, Nathewet P, Yanagi T: Decaploidy in Fragaria iturupensis Staudt (Rosaceae). Am J Bot. 2008, 96 (3): 713-716. 10.3732/ajb.0800285.View ArticleGoogle Scholar
- Davis TM, Denoyes-Rothan B, Lercerteau-Kohler E: Strawberry. Fruits and Nuts. Edited by: Kole C. 2007, Berlin: Springer-Verlag, 189-206. full_text. 4View ArticleGoogle Scholar
- Folta KM, Davis TM: Strawberry genes and genomics. Crit Rev Plant Sci. 2006, 25 (5): 399-415. 10.1080/07352680600824831.View ArticleGoogle Scholar
- Rousseau-Gueutin M, Gaston A, Aïnouche A, Aïnouche ML, Olbricht K, Staudt G, Richard L, Denoyes-Rothan B: Tracking the evolutionary history of polyploidy in Fragaria L. (strawberry): new insights from phylogenetic analyses of low-copy nuclear genes. Mol Phylogenet Evol. 2009, 51 (3): 515-530. 10.1016/j.ympev.2008.12.024.PubMedView ArticleGoogle Scholar
- Shulaev V, Korban SS, Sosinski B, Abbott AG, Aldwinckle HS, Folta KM, Iezzoni A, Main D, Arus P, Dandekar AM, et al: Multiple models for Rosaceae genomics. Plant Physiol. 2008, 147 (3): 985-1003. 10.1104/pp.107.115618.PubMedPubMed CentralView ArticleGoogle Scholar
- Davis TM, Yu H: A linkage map of the diploid strawberry, Fragaria vesca. J Hered. 1997, 88 (3): 215-221.View ArticleGoogle Scholar
- Sargent DJ, Clarke J, Simpson DW, Tobutt KR, Arus P, Monfort A, Vilanova S, Denoyes-Rothan B, Rousseau M, Folta KM, et al: An enhanced microsatellite map of diploid Fragaria. Theor Appl Genet. 2006, 112 (7): 1349-1359. 10.1007/s00122-006-0237-y.PubMedView ArticleGoogle Scholar
- Oosumi T, Gruszewski HA, Blischak LA, Baxter AJ, Wadl PA, Shuman JL, Veilleux RE, Shulaev V: High-efficiency transformation of the diploid strawberry (Fragaria vesca) for functional genomics. Planta. 2006, 223 (6): 1219-1230. 10.1007/s00425-005-0170-3.PubMedView ArticleGoogle Scholar
- Folta KM, Davis TM: Transformation systems to study gene function in Fragaria. Proceedings 2007 North American Strawberry Symposium: February 9-12, 2007; Ventura, California North American Strawberry Growers Association, Kemptville, ON Canada; 2007, 94-99.Google Scholar
- Slovin J: HSP101 in the model strawberry Fragaria vesca. HortScience. 2005, 40 (4): 1016-[http://www.ars.usda.gov/research/publications/publications.htm?SEQ_NO_115=177284]Google Scholar
- Sosinski B, Shulaev V, Dhingra A, Kalyanaraman A, Bumgarner R, Rokhsar D, Verde A, Velasco R, Abbott AG: Rosaceous genome sequencing: Perspectives and progress. Genetics and Genomics of Rosaceae. Edited by: Folta KM, Gardiner SE New York, NY: Springer;2009; 601-615. full_text.View ArticleGoogle Scholar
- Bevan M, Bancroft I, Bent E, Love K, Goodman H, Dean C, Bergkamp R, Dirkse W, Van Staveren M, Stiekema W, et al: Analysis of 1.9 Mb of contiguous sequence from chromosome 4 of Arabidopsis thaliana. Nature. 1998, 391 (6666): 485-488. 10.1038/35140.PubMedView ArticleGoogle Scholar
- Hoeven Van der R, Ronning C, Giovannoni J, Martin G, Tanksley S: Deductions about the number, organization, and evolution of genes in the tomato genome based on analysis of a large expressed sequence tag collection and selective genomic sequencing. Plant Cell. 2002, 14 (7): 1441-1456. 10.1105/tpc.010478.PubMedPubMed CentralView ArticleGoogle Scholar
- Lai CWJ, Yu QY, Hou SB, Skelton RL, Jones MR, Lewis KLT, Murray J, Eustice M, Guan PZ, Agbayani R, et al: Analysis of papaya BAC end sequences reveals first insights into the organization of a fruit tree genome. Molecular Genetics and Genomics. 2006, 276 (1): 1-12. 10.1007/s00438-006-0122-z.PubMedView 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. The Plant Genome. 2009, 2 (1): 93-101. 10.3835/plantgenome2008.09.0007.View ArticleGoogle Scholar
- Shields ME: Construction and characterization of a large-insert genomic library for Fragaria (Rosaceae). M.S. Durham, NH: University of New Hampshire;2005,Google Scholar
- Davis TM, Folta KM, Shields ME, Zhang Q: Gene pair markers: An innovative tool for comparative linkage mapping. North American Strawberry Symposium March 11, 2008 2007; Ventura, California. 2007, North American Strawberry Growers Association, Kemptville, ON Canada, 105-107. [http://www.intl-pag.org/15/abstracts/PAG15_P03f_193.html]Google Scholar
- Staudt G, DiMeglio LM, Davis TM, Gerstberger P: Fragaria × bifera Duch.: Origin and taxonomy. Bot Jahrb Syst. 2003, 125 (1): 53-72. 10.1127/0006-8152/2003/0125-0053.View ArticleGoogle Scholar
- Wolyn DJ, Jelenkovic G: Nucleotide sequence of an alcohol dehydrogenase gene in octoploid strawberry (Fragaria × ananassa Duch). Plant Mol Biol. 1990, 14 (5): 855-857. 10.1007/BF00016518.PubMedView ArticleGoogle Scholar
- Evans RC, Alice LA, Campbell CS, Kellogg EA, Dickinson TA: The granule-bound starch synthase (GBSSI) gene in the Rosaceae: multiple loci and phylogenetic utility. Mol Phylogenet Evol. 2000, 17 (3): 388-400. 10.1006/mpev.2000.0828.PubMedView ArticleGoogle Scholar
- Deng C, Davis TM: Molecular identification of the yellow fruit color (c) locus in diploid strawberry: a candidate gene approach. Theor Appl Genet. 2001, 103 (2-3): 316-322. 10.1007/s001220100648.View ArticleGoogle Scholar
- Fgenesh HMM-based gene structure prediction. [http://www.softberry.com]
- A.P.G.III: An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG III. The Angiosperm Phylogeny Group. Botanical Journal of the Linnean Society. 2009, 161: 105-121. 10.1111/j.1095-8339.2009.00996.x.View ArticleGoogle Scholar
- Friedman AR, Baker BJ: The evolution of resistance genes in multi-protein plant resistance systems. Curr Opin Genet Dev. 2007, 17 (6): 493-499. 10.1016/j.gde.2007.08.014.PubMedView ArticleGoogle Scholar
- Moore RC, Purugganan MD: The evolutionary dynamics of plant duplicate genes. Curr Opin Plant Biol. 2005, 8 (2): 122-128. 10.1016/j.pbi.2004.12.001.PubMedView ArticleGoogle Scholar
- Meyers BC, Kaushik S, Nandety RS: Evolving disease resistance genes. Curr Opin Plant Biol. 2005, 8 (2): 129-134. 10.1016/j.pbi.2005.01.002.PubMedView ArticleGoogle Scholar
- Small RL, Cronn RC, Wendel JF: Use of nuclear genes for phylogeny reconstruction in plants. Australian Systematic Botany. 2004, 17 (2): 145-170. 10.1071/SB03015.View ArticleGoogle Scholar
- Davis TM, DiMeglio LM: Identification of putative diploid genome donors to the octoploid cultivated strawberry, Fragaria × ananassa. Plant & Animal Genomes XII Conference. San Diego, CA. 2004Google Scholar
- Martinez Zamora MG, Castagnaro AP, Diaz Ricci JC: Isolation and diversity analysis of resistance gene analogues (RGAs) from cultivated and wild strawberries. Mol Gen Genomics. 2004, 272 (4): 480-487. 10.1007/s00438-004-1079-4.View ArticleGoogle Scholar
- Leister D, Ballvora A, Salamini F, Gebhardt C: A PCR-based approach for isolating pathogen resistance genes from potato with potential for wide application in plants. Nat Genet. 1996, 14 (4): 421-429. 10.1038/ng1296-421.PubMedView ArticleGoogle Scholar
- Jung S, Jiwan D, Cho I, Lee T, Abbott A, Sosinski B, Main D: Synteny of Prunus and other model plant species. BMC Genomics. 2009, 10: 76-10.1186/1471-2164-10-76.PubMedPubMed CentralView ArticleGoogle Scholar
- Davis TM, DiMeglio LM, Yang RH, Styan SMN, 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 Am Soc Hortic Sci. 2006, 131 (4): 506-512. [http://ddr.nal.usda.gov/bitstream/10113/21530/1/IND43832028.pdf]Google Scholar
- Sargent DJ, Davis TM, Simpson DW, eds: Strawberry (Fragaria spp.) structural genomics. New York: Springer; 2009,Google Scholar
- Lawson MJ, Zhang L: Distinct patterns of SSR distribution in the Arabidopsis thaliana and rice genomes. Genome Biol. 2006, 7 (2): R14-10.1186/gb-2006-7-2-r14.PubMedPubMed CentralView ArticleGoogle Scholar
- Ma Y, Sun H, Zhao G, Dai H, Gao X, Li H, Zhang Z: Isolation and characterization of genomic retrotransposon sequences from octoploid strawberry (Fragaria × ananassa Duch.). Plant Cell Rep. 2008, 27 (3): 499-507. 10.1007/s00299-007-0476-7.PubMedView ArticleGoogle Scholar
- National Clonal Germplasm Repository. [http://www.ars.usda.gov]
- Davis TM, Yu H, Haigis KM, Mcgowan PJ: Template mixing - a method of enhancing detection and interpretation of codominant RAPD markers. Theor Appl Genet. 1995, 91 (4): 582-588. 10.1007/BF00223283.PubMedView 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 (3): 175-185.PubMedView ArticleGoogle Scholar
- Gordon D, Abajian C, Green P: Consed: A graphical tool for sequence finishing. Genome Res. 1998, 8 (3): 195-202.PubMedView ArticleGoogle Scholar
- National Center for Biotechnology Information. [http://www.ncbi.nlm.nih.gov/]
- Schlueter SD, Dong Q, Brendel V: GeneSeqer@PlantGDB: Gene structure prediction in plant genomes. Nucleic Acids Res. 2003, 31 (13): 3597-3600. 10.1093/nar/gkg533.PubMedPubMed CentralView ArticleGoogle Scholar
- Xu Z, Wang H: LTR_FINDER: an efficient tool for the prediction of full-length LTR retrotransposons. Nucleic Acids Res. 2007, 35: W265-W268. 10.1093/nar/gkm286.PubMedPubMed CentralView ArticleGoogle Scholar
- McCarthy EM, McDonald JF: LTR_STRUC: a novel search and identification program for LTR retrotransposons. Bioinformatics. 2003, 19 (3): 362-367. 10.1093/bioinformatics/btf878.PubMedView ArticleGoogle Scholar
- RepeatModeler. [http://www.repeatmasker.org/RepeatModeler.html]
- Temnykh S, Lukashova A, Cartinhour S, DeClerck G, Lipovich L, McCouch S: Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length variation, transposon associations, and genetic marker potential. Genome Res. 2001, 11: 1441-1452. 10.1101/gr.184001.PubMedPubMed CentralView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.