- Research article
- Open Access
Comprehensive analysis of expressed sequence tags from cultivated and wild radish (Raphanus spp.)
BMC Genomics volume 14, Article number: 721 (2013)
Radish (Raphanus sativus L., 2n = 2× = 18) is an economically important vegetable crop worldwide. A large collection of radish expressed sequence tags (ESTs) has been generated but remains largely uncharacterized.
In this study, approximately 315,000 ESTs derived from 22 Raphanus cDNA libraries from 18 different genotypes were analyzed, for the purpose of gene and marker discovery and to evaluate large-scale genome duplication and phylogenetic relationships among Raphanus spp. The ESTs were assembled into 85,083 unigenes, of which 90%, 65%, 89% and 89% had homologous sequences in the GenBank nr, SwissProt, TrEMBL and Arabidopsis protein databases, respectively. A total of 66,194 (78%) could be assigned at least one gene ontology (GO) term. Comparative analysis identified 5,595 gene families unique to radish that were significantly enriched with genes related to small molecule metabolism, as well as 12,899 specific to the Brassicaceae that were enriched with genes related to seed oil body biogenesis and responses to phytohormones. The analysis further indicated that the divergence of radish and Brassica rapa occurred approximately 8.9-14.9 million years ago (MYA), following a whole-genome duplication event (12.8-21.4 MYA) in their common ancestor. An additional whole-genome duplication event in radish occurred at 5.1-8.4 MYA, after its divergence from B. rapa. A total of 13,570 simple sequence repeats (SSRs) and 28,758 high-quality single nucleotide polymorphisms (SNPs) were also identified. Using a subset of SNPs, the phylogenetic relationships of eight different accessions of Raphanus was inferred.
Comprehensive analysis of radish ESTs provided new insights into radish genome evolution and the phylogenetic relationships of different radish accessions. Moreover, the radish EST sequences and the associated SSR and SNP markers described in this study represent a valuable resource for radish functional genomics studies and breeding.
Expressed sequence tags (ESTs), which are created by partially sequencing randomly isolated gene transcripts and converting them into cDNAs, provide a valuable information source for investigating a wide variety of genetic characteristics of a species. Since they represent the expressed portion of a genome, ESTs have been reported to play significant roles in accelerating gene discovery, improving genome annotation[2, 3], uncovering whole genome duplication events and facilitating evolutionary analysis[4, 5]. Furthermore, EST analysis represents an effective means to for rapidly identify transcripts involved in specific biological processes[6, 7].
EST collections also represent a valuable resource to identify simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. In recent years, SSR markers have been increasingly used to construct high-density genetic maps and to identify quantitative trait loci (QTL) associated with economically important crop traits[8, 9]. While SNPs typically provide more useful markers in many basic and applied research areas, such as population genetics, gene discovery, plant breeding and germplasm identification[10–12], the steps from sequencing and SNP discovery to SNP marker design and validation are generally lengthy and expensive. As a consequence of the rapid development of next generation sequencing technologies and progress with genome and cDNA sequencing projects, extremely large numbers of ESTs are becoming publicly available. Some of these sequence resources have been already exploited for the development of molecular markers such as SSRs and SNPs[14, 15], which have value in both elucidating phylogenetic relationships and facilitating breeding programs.
Radish (Raphanus sativus L., 2n = 2× = 18), an economically important root vegetable crop that is grown and consumed worldwide, belongs to Brassicaceae and is closely related to Brassica rapa and the experimental model plant Arabidopsis thaliana. Its fleshy, edible root varies in shape (round, oval or elongated), size (from one-half inch in diameter to one-half feet in length) and color (e.g. white, pink, red and purple). Although there are no detailed archeological records describing the early history of radish cultivation, it has been suggested that it was domesticated in Europe in pre-Roman times[17, 18]. However, the origin of cultivated radish is still debated. R. raphanistrum, the wild species of R. sativus, includes three subspecies: subsp. maritimus; subsp. Raphanistrum; and subsp. landra. Most reports suggest that R. sativus L. originated from R. raphanistrum L., but it has also been proposed that R. sativus resulted from hybridization between R. maritimus and R. landra, or alternatively that it derived from interspecific hybridization between a variety of parental species[18–20].
Despite its agricultural importance as a root vegetable crop, radish has only recently been analyzed using genomic and functional genomic approaches. For example, transcriptome studies have been reported, with a focus on SSR marker development and expression profiling in response to lead exposure. There are currently more than 300,000 publicly available ESTs in the NCBI dbEST database, but this large-scale EST dataset has not been characterized in detail, and has primarily been used to derive SSR markers for genetic map construction. In order to integrate and utilize these data efficiently, and to gain more insights into the biology and genome evolution of radish, these radish ESTs were first clustered and assembled into 85,083 unigenes. This unigene set was then extensively annotated. Comparative genomic analysis of radish, A thaliana and B. rapa were performed in order to elucidate the functional and evolutionary processes that act on their respective genomes. Furthermore, putative SSR and SNP markers were identified from these ESTs and the phylogenetic relationships between the different radish genotypes were inferred. This information provided new insights into the biology of major agronomic traits of radish, as well as its genome evolution and the phylogenetic relationships between different genotypes.
Results and discussion
EST assembly and annotation
A total of 314,799 Raphanus ESTs were collected from the NCBI dbEST database. After removing low quality and contaminating sequences, 311,021 ESTs were obtained. Of these, 149,092 were from cultivated radish (R. sativus) and 161,929 from wild radish (R. raphanistrum), comprising subsets from the three subspecies: subsp. raphanistrum (80,380 ESTs); subsp. landra (41,398 ESTs); and subsp. maritimus (40,151 ESTs). These ESTs were generated from 22 different Raphanus cDNA libraries derived from 18 different accessions (Table 1). Different radish organs/tissues were sampled to construct these cDNA libraries, including cotyledons, hypocotyls, roots, root axes, leaves, flowers, whole buds and whole seedlings.
The ESTs were assembled de novo into 85,083 unigenes with an average length of 822 bp, of which 33,322 were singletons with an average length of 594 bp and 51,761 were contigs with an average length of 970 bp. The distribution of the number of EST members in the radish unigenes is listed in Table 2. A total of 6,404 (~8%) of the unigenes had more than 10 EST members and they represented 41% of the total number of EST reads.
To functionally annotate the radish unigenes, their sequences were compared against the GenBank non-redundant (nr) protein database using the BLAST program. A total of 76,156 (90%) radish unigenes had hits in the nr database, indicating that a very high percentage of radish unigenes could be assigned a putative function. The radish unigenes were also compared against the UniProt/SwissProt, UniProt/TrEMBL and Arabidopsis (TAIR version 10) protein databases, which yielded 54,959 (65%), 75,427 (89%) and 76,042 (89%) matches in these three databases, respectively.
A Gene Ontology (GO) analysis of the radish unigenes was then undertaken. A total of 66,194 (78%) unigenes were associated with at least one GO term, of which 58,419 (69%) were assigned at least one GO term in the cellular component category, 56,634 (67%) in the biological process category and 56,389 (67%) in the molecular function category, while 47,475 (56%) were annotated with GO terms from all three categories. Go slim analysis was then performed to classify the radish unigenes into different functional categories according to the GO annotations. Biosynthetic process, ion binding and cytoplasm were the most abundant GO terms within the biological process, molecular function, and cellular component categories, respectively (Figure 1). In addition, cell differentiation, reproduction, and growth were also among the most highly represented groups within the biological process category, consistent with the fact that the majority of radish ESTs were derived from whole seedlings, buds and anthers. In addition, genes involved in other important biological processes, such as stress responses and signal transduction, were also identified.
Transcription factors (TFs) are an important and diverse class of regulatory proteins that can initiate and regulate gene transcription, and that collectively coordinate gene expression in different cell types and during development. In the present study, a thorough screen of the radish unigene dataset was performed to identify putative TFs using iTAK. A total of 2,809 TFs were predicted and systematically grouped into 56 TF families (Additional file1 and Additional file2). The MYB family was the most abundant, comprising 277 genes, followed by the bHLH (209), bZIP (187), AP2-EREBP (178) and NAC (145) families. Identification of these TFs from radish provides a useful resource to help researchers to gain a better understanding of the intricate relationships between transcription factors and the major agricultural traits of radish.
Comparative analysis of gene sets between radish and other plants
The 85,083 radish unigenes were compared to the complete protein sequence sets of rice, grape, Arabidopsis and Brassica rapa using the BLAST program. At an E-value cutoff of 1e-5, approximately 90% and 88% of radish unigenes matched proteins of Brassica rapa and A. thaliana, respectively, which belong to the same family of radish, while 79% and 77% matched proteins from grape and rice, respectively.
Gene family clustering analysis was performed for the above five plant species. A total of 172,156 gene sequences from the five species were clustered into 29,327 gene families (Figure 2). Of these, 8,156 were shared by all five species, and so may represent highly conserved gene families among dicotyledonous and monocotyledonous plants. Of the 85,083 radish unigenes, 54,195 were divided among 21,359 of these gene families, while 5,595 gene families were unique to radish. The analysis also revealed that 12,899 gene families were unique to the Brassicaceae family (radish, B. rapa and A. thaliana). Functional analysis using GO terms showed that gene families that were specific to the Brassicaceae family were significantly enriched with GO terms involved in response to hormones, such as auxin and gibberellins, and seed oil body biogenesis (Additional file3). These observations can be associated with well-known characteristics of the Brassicaceae since bolting, one of the most important traits of the family, can be induced by gibberellins[24, 25], and seeds of the Brassicaceae contain a high oil content, which makes them good candidates for producing feedstock oils for biodiesel. The oil body is a unique oil storage organelle, consisting mainly of triacylglycerol (TAG) surrounded by a layer consisting of phospholipids and the protein oleosin. It has been demonstrated that the quantity and size of oil bodies correlate well with the oil content of rapeseed and that oil body biogenesis may be coupled with the embryogenesis. Gene families specific to radish were significantly enriched with GO terms related to small molecule metabolic processes, including monosaccharide and organic acid metabolism (Additional file4). This observation aligns well with the most important agronomic product of radish, the fleshy tap root, since during taproot development the carbohydrate content, including total soluble sugars, sucrose and fructose decrease at the onset of taproot swelling,.
Whole genome duplications in radish
Whole genome duplication (WGD) is common in angiosperms and is regarded as the major evolutionary force that gives rise to novel gene functions and transcriptome sequences have been successfully used to identify WGD events[4, 5]. In the present study, gene families were constructed using proteins from four species, A. thaliana, Brassica rapa, Carica papaya (papaya) and radish, which all belong to the order Brassicales. A total of 1,472 gene families with a single gene in each species were used to date speciation events and homologous pairs with best reciprocal matches within each species were used to identify WGD events. A total of 1,422, 2,594, 630 and 2,175 pairs were identified for A. thaliana, B. rapa, papaya and radish, respectively. Ks values for these homologous gene pairs were calculated. The peaks of the Ks values corresponding to the WGD events in A thaliana, B. rapa, and papaya (Figure 3 and Additional file5) are consistent with those presented in the PGDD database, indicating the robustness of the approach.
Based on the distribution of Ks values of homologous genes, two recent WGD events in radish, α and β, were identified, which were estimated to have occurred approximately 5.1-8.4 and 12.8-21.4 million years ago (MYA), corresponding to the peaks of Ks at 0.13 and 0.35, respectively (Figure 3). The β event occurred before the divergence of radish and B. rapa approximately 8.9-14.9 MYA and is shared by Raphanus and Brassica, while the α event occurred after the divergence and is Raphanus specific. The analysis also indicated that the common ancestor of radish and B. rapa diverged from A. thaliana about 15.9-27.8 MYA, which is consistent with previous reports[30, 31].
Identification of simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs)
Both SSRs and SNPs are valuable markers for genetic mapping and marker-assisted breeding. SSR and SNP markers derived from EST sequences, which directly link to expressed genes, have been widely used in linkage map construction and genetic mapping of QTLs associated with important agronomic traits[11, 32]. In the present study, a thorough screen of the radish unigene dataset for the presence of SSRs was performed. A total of 13,570 SSR motifs were discovered in 12,403 radish unigenes. The major types of the identified SSRs were tri-nucleotide (6,651) and di-nucleotide (5,918), accounting for 49% and 44% of the SSRs, respectively, followed by tetra-nucleotide (170), penta-nucleotide (63) and hexa-nucleotide (50). An additional 718 SSRs were classified as SSR motifs in compound form; that is, the SSRs contained two or more repeat types separated by none to any number of base pairs. SSR motifs with five repeats (30%) were the most common, followed by six (29%), seven (15%), eight (8%), nine (4%) and ten (3%). The most frequent SSR motif was TC/GA (2440; 18%), followed by AG/CT (2384; 18%), TCT/AGA (841; 6%), GAA/TTC (776; 6%), CTT/AAG (711; 5%) and GAT/ATC (468; 3%), while GC/GC (2) was the least frequent SSR motif (Table 3). Most of these values are in agreement with a previous report of a radish RNA-seq dataset and reports of EST analysis from other plant species, including watermelon. Of the 12,403 SSR-containing unigenes, three combinations of primer pairs were designed for each of the 11,282 SSR motifs that had sufficient flanking sequences.
Since the ESTs described in this study were derived from 18 different accessions, including 14 cultivated (R. sativus) and 4 wild (R. raphanistrum) accessions, it is expected that SNPs would be highly abundant in this radish EST dataset. Using very stringent criteria (see methods), a total of 28,758 high-quality SNPs were detected in 4,764 unigenes. Of these, 15,029 were transitions, 10,051 were transversions, and 3,678 were single-base indels (Table 4). The identified SSRs and SNPs and their associated information are available at RadishBase and provide a resource of valuable molecular markers to facilitate radish breeding and research.
Phylogenetic relationship analysis
Phylogenetic analysis using DNA markers is not only an important tool to study the evolutionary relationships between organisms, at many levels, but also a technique that gives much deeper insight into the mechanism of maintenance of polymorphic alleles in populations. To analyze the phylogenetic relationships of different Raphanus accessions, a neighbor-joining phylogenetic tree was constructed for eight accessions that had sufficient ESTs for the analysis, using a subset of 1,800 SNPs that had information derived from all eight accessions (Figure 4). The eight accessions were clearly separated into two groups: the first group included four accessions belonging to cultivated radish (R. sativus) and the second group included four wild radish accessions (R. raphanistrum). In the R. sativus group, Rat-Tail 3870 (var. caudatus), which is not an edible root variety but rather is used for its slender and edible seedpods, showed a closer phylogenetic relationship with GSK 3-1 (var. hortensis), which is a selfed progeny from a leading Japanese variety of R. sativus known as Utsugi-Gensuke, which has a long white root. A close phylogenetic relationship was observed between Early Scarlet Globe (var. radiculus), known for its globular shape and white fleshy roots, and var. oleiformis, a fodder or oilseed radish (Figure 4). In the wild radish group, two accessions of subsp. Raphanistrum formed a sub-group, while subsp. maritimus and subsp. landra clustered together. Currently phylogenetic relationships between different radish genotypes remain largely uncertain. Lewis-Jonas et al. proposed that a variant of the raphanistrum-landra complex might be the wild ancestor of the cultivated radish, while other studies suggested that the cultivated radish displayed multiple origins[37–39]. In the present study, a phylogenetic analysis based on 1,800 SNP markers strongly supported the proposition that the four radish cultivars share the same ancestor, which might originate from one subspecies of R. raphanistrum or the complex of the three subspecies. However, further studies are required to definitively establish the phylogenetic relationship between cultivated and wild radishes.
The analysis of approximately 315,000 radish ESTs collected from the NCBI dbEST database was presented here. These ESTs were assembled de novo into 85,083 unigenes and functionally annotated. Comparative analysis between radish ESTs and other plant genome sequences revealed a number of highly conserved gene families across dicotyledonous and monocotyledons plants, as well as gene families that are specific to members of the Brassicaceae and to radish. Two recent WGD events were identified in radish; one before and one after the divergence of radish and Brassica rapa. In addition, the identified 13,570 SSRs and 28,758 high-quality SNPs represent valuable molecular markers and can be widely used in linkage map construction and the genetic mapping of QTLs associated with important agronomic traits. Based on 1,800 identified SNPs, the phylogenetic relationships between different Raphanus species were analyzed to investigate the evolutionary history of radish. The comprehensive analysis of Raphanus ESTs presented in this study will not only facilitate the annotation of the radish genome, which is currently being sequenced, but also provide a valuable resource for marker assisted breeding programs and further functional and comparative genomics analyses.
EST processing and assembly
Raphanus ESTs were collected from the NCBI dbEST database. The EST sequences were first screened against the NCBI UniVec database, E. coli genome sequences and ribosomal RNA sequences using SeqClean, to remove possible contamination of these sequences. The ESTs were further processed to remove low quality (containing >3% Ns) and adaptor sequences. The resulting high-quality cleaned ESTs were assembled into unigenes using the iAssembler program, with default parameters.
The radish unigenes were functionally annotated by comparing their sequences against GenBank non-redundant (nr), UniProt (TrEMBL and SwissProt) and Arabidopsis protein databases using the BLAST program, with an E-value cutoff of 1e-5. Gene ontology (GO) terms were assigned to each unigene based on the GO terms annotated to its corresponding homologs in the UniProt databases. GO annotations of radish unigenes were then mapped to a list of plant-specific GO slim ontologies and these GO slim terms were used to functionally classify radish unigenes.
Comparative genomics analysis
The radish unigenes were compared to protein databases of four plant species, Brassica rapa, A. thaliana, Vitis vinifera (grape) and Oryza sativa (rice) using the BLAST program with an E-value cutoff 1e-5. Orthologous groups of protein sequences were identified using the orthoMCL program. Venn diagram showing the distribution of shared and specific gene families among the five species was generated using the online Venn Diagrams program. GO terms associated with the radish unigenes that were significantly enriched in each list of specific orthologous groups were identified using GO: TermFinder perl module implemented in RadishBase, with a cutoff of corrected p values (False Discovery Rate, FDR) of no more than 0.01.
Whole-genome duplication (WGD) analysis in radish
To investigate potential WGD events in radish, gene families were constructed and the rate of synonymous substitutions (Ks) between each homologous gene pair was calculated using the methods described in Jiao et al. and Shi et al.. Specifically, radish unigenes were first translated into proteins using ESTScan with a matrix built from the coding sequences (CDS) of Brassica rapa. Only the translated protein with best matches to the B. rapa proteins was kept if a particular radish unigene had multiple translated protein sequences. Translated proteins with < 100 amino acids were not included in the analysis. Radish CDS sequences were then aligned to themselves using BLASTN with an E-value cutoff of 1e-5 and based on the alignments redundancies of radish translated protein sequences caused by alternative splicing were removed and orthologues from different sub-species according to the following rules: 1) If the two CDS had an alignment longer than 600 bp and > 95% amino acid sequence identity, the shorter sequence was removed; 2) If the two CDS were both shorter than 600 bp and the alignment was longer than 300 bp, with >95% amino acid sequence identity, the shorter sequence was removed; 3) If the aligned region covered 95% of one of the gene pair with no less than 95% amino acid sequence identity, the shorter CDS was removed.
Orthologous groups were then constructed using OrthoMCL based on the all-to-all BLASTP results of protein sequences from radish, A. thaliana, Brassica rapa, and papaya, with an E-value cutoff of 1e-20. The proteins in each orthologous group were aligned using MUSCLE with default parameters, and the alignments were then trimmed using trimAL to remove poorly aligned regions, using the parameter “-automated1”. The resulting trimmed protein alignments were then converted to the corresponding CDS alignments, which were used for Ks calculations. For the Ks calculation between species, the orthologous groups with one gene from each of the four plant species were used. For the Ks calculation within species, homologous pairs with the best reciprocal matches were used. The Ks values were calculated using the yn00 program in the PAML package under the F3x4 model. Only Ks values >0 and <3 were used in the analysis.
The speciation events as well as WGD events were dated based on the Ks values. The average substitution rate (r) used to calibrate the age of the considered genes was calculated based on the fossil record time interval (54-90 million years ago) of Capparales, as previously reported[54, 55]. The time (T) was then estimated using the formula T = Ks/r[56, 57].
SSR and SNP identification
The complete set of radish unigene sequences were screened for the presence of SSR motifs using the MISA program. The minimum repeat was six for dinucleotide and five for tri-, tetra-, penta and hexa-nucleotide. Primer pairs were designed for SSR motifs that had sufficient flanking sequences using the Primer3 program.
SNPs in the EST sequences among the different radish cultivars were identified as described in Clepet et al.. Briefly, polymorphisms were first identified with PolyBayes and only those with at least 2× coverage for each accession and no same bases at the potential SNP site between the two compared accessions were considered. Detailed information related to all radish SSRs and SNPs is publicly available at the RadishBase.
Phylogenetic analysis of radish germplasm
Among the 18 radish accessions used for EST generation, eight were selected to determine their phylogenetic relationship as they had a sufficient number of ESTs for the analysis. These eight accessions were Rat-Tail Radish 3870, GSK3-1, Early Scarlet Globe, R. sativus var. oleiformis, R. raphanistrum subsp. raphanistrum MS and NY, R. raphanistrum subsp. maritimus and R. raphanistrum subsp. landra. A neighbor-joining phylogenetic tree was constructed with MEGA5, using a total of approximately 1,800 SNP markers that had information in all eight accessions. Trees were bootstrapped 1,000 times to assure confidence in topology.
Adams MD, Kelley JM, Gocayne JD, Dubnick M, Polymeropoulos MH, Xiao H, Merril CR, Wu A, Olde B, Moreno RF: Complementary DNA sequencing: expressed sequence tags and human genome project. Science. 1992, 252: 1651-1656.
Yang H, Kaur N, Kiriakopolos S, McCormick S: EST generation and analyses towards identifying female gametophyte-specific genes in Zea mays L. Planta. 2006, 224: 1004-1014. 10.1007/s00425-006-0283-3.
Eswaran N, Parameswaran S, Anantharaman B, Kumar GR, Sathram B, Johnson TS: Generation of an expressed sequence tag (EST) library from salt-stressed roots of Jatrophacurcas for identification of abiotic stress-responsive genes. Plant Biol. 2012, 14: 428-437. 10.1111/j.1438-8677.2011.00529.x.
Shi T, Huang H, Barker MS: Ancient genome duplications during the evolution of kiwifruit (Actinidia) and related Ericales. Ann Bot. 2010, 106: 497-504. 10.1093/aob/mcq129.
Jiao Y, Wickett NJ, Ayyampalayam S, Chanderbali AS, Landherr L, Ralph PE, Tomsho LP, Hu Y, Liang H, Soltis PS: Ancestral polyploidy in seed plants and angiosperms. Nature. 2011, 473: 97-100. 10.1038/nature09916.
Chatzopoulou FM, Makris AM, Argiriou A, Degenhardt J, Kanellis AK: EST analysis and annotation of transcripts derived from a trichome-specific cDNA library from Salvia fruticosa. Plant Cell Rep. 2010, 29: 523-534. 10.1007/s00299-010-0841-9.
Büchel K, McDowell E, Nelson W, Descour A, Gershenzon J, Hilker M, Soderlund C, Gang DR, Fenning T, Meiners T: An elm EST database for identifying leaf beetle egg-induced defense genes. BMC Genomics. 2012, 13: 242-10.1186/1471-2164-13-242.
Budahn H, Peterka H, Mousa MA, Ding Y, Zhang S, Li J: Molecular mapping in oil radish (Raphanus sativus L.) and QTL analysis of resistance against beet cyst nematode (Heterodera schachtii). Theor Appl Genet. 2009, 118: 775-782. 10.1007/s00122-008-0937-6.
Xu L, Wang L, Gong Y, Dai W, Wang Y, Zhu X, Wen T, Liu L: Genetic linkage map construction and QTL mapping of cadmium accumulation in radish (Raphanus sativus L.). Theor Appl Genet. 2012, 125: 659-670. 10.1007/s00122-012-1858-y.
Shirasawa K, Shiokai S, Yamaguchi M, Kishitani S, Nishio T: Dot-blot-SNP analysis for practical plant breeding and cultivar identification in rice. Theor Appl Genet. 2006, 113: 147-155. 10.1007/s00122-006-0281-7.
Li F, Hasegawa Y, Saito M, Shirasawa S, Fukushima A, Ito T, Fujii H, Kishitani S, Kitashiba H, Nishio T: Extensive chromosome homoeology among Brassiceae species were revealed by comparative genetic mapping with high-density EST-based SNP markers in radish (Raphanus sativus L.). DNA Res. 2011, 18: 401-411. 10.1093/dnares/dsr027.
Bourret V, Kent MP, Primmer CR, Vasemägi A, Karlsson S, Hindar K, McGinnity P, Verspoor E, Bernatchez L, Lien S: SNP-array reveals genome-wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmosalar). Mol Ecol. 2012, 22: 532-551.
Wang S, Wang X, He Q, Liu X, Xu W, Li L, Gao J, Wang F: Transcriptome analysis of the roots at early and late seedling stages using Illumina paired-end sequencing and development of EST-SSR markers in radish. Plant Cell Rep. 2012, 31: 1437-1447. 10.1007/s00299-012-1259-3.
Anithakumari AM, Tang J, Van Eck HJ, Visser RG, Leunissen JA, Vosman B, van der Linden CG: A pipeline for high throughput detection and mapping of SNPs from EST databases. Mol Breed. 2010, 26: 65-75. 10.1007/s11032-009-9377-5.
Ersoz ES, Wright MH, Pangilinan JL, Sheehan MJ, Tobias C, Casler MD, Buckler ES, Costich DE: SNP discovery with EST and NextGen sequencing in switchgrass (Panicum virgatum L.). PLoS One. 2012, 7: e44112-10.1371/journal.pone.0044112.
Herbst ST: Barron’s Cooking Guide. The new food lover’s companion: comprehensive definitions of nearly 6,000 food, drink, and culinary terms. 2001, Hauppauge, NY: Barron’s Educational Series
Zohary D, Hopf M: Domestication of plants in the old world. 2000, Oxford: University Press, 3
Lewis-Jones LJ, Thorpe JP, Wallis GP: Genetic divergence in four species of the genus Raphanus: implications for the ancestry of the domestic radish R. sativus. Biol J Linn Soc. 1982, 18: 35-48. 10.1111/j.1095-8312.1982.tb02032.x.
Kitamura S: Cultivars of radish and their change. Japanese radish. Edited by: Nishiyama I. 1958, Tokyo: Japan Society for the Promotion of Science, 1-19.
Kaneko Y, Kimizuka-Takagi C, Bang SW, Matsuzawa Y: Radish. Genome mapping and molecular breeding in plants. Edited by: Kole C. 2007, New York: Springer, 141-160.
Wang Y, Xu L, Chen Y, Shen H, Gong Y, Limera C, Liu L: Transcriptome profiling of radish (Raphanus sativus L.) root and identification of genes involved in response to lead (Pb) stress with next generation sequencing. PLoS One. 2013, 8: e66539-10.1371/journal.pone.0066539.
NCBI dbEST database.http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/dbEST/,
Rood SB, Mandel R, Pharis RP: Endogenous gibberellins and shoot growth and development in Brassica napus. Plant Physiol. 1989, 89: 269-273. 10.1104/pp.89.1.269.
Rieu I, Ruiz-Rivero O, Fernandez-Garcia N, Griffiths J, Powers SJ, Gong F, Linhartova T, Eriksson S, Nilsson O, Thomas SG: The gibberellin biosynthetic genes AtGA20ox1 and AtGA20ox2 act, partially redundantly, to promote growth and development throughout the Arabidopsis life cycle. Plant J. 2008, 53: 488-504.
Tzen JTC, Huang AHC: Surface structure and properties of plant seed oil bodies. J Cell Biol. 1992, 117: 327-335. 10.1083/jcb.117.2.327.
He YQ, Wu Y: Oil body biogenesis during Brassica napus embryogenesis. J Integr Plant Biol. 2009, 51: 792-799. 10.1111/j.1744-7909.2009.00851.x.
Wang W, Gong Y, Liu L, Wang Y, Jing Z, Huang D, Wang L: Changes of sugar content and sucrose metabolizing enzyme activities during fleshy taproot development in radish (Raphanus sativus L.). Acta Hortic Sinica. 2007, 34: 1313-1316.
Lee T-H, Tang H, Wang X, Paterson AH: PGDD: a database of gene and genome duplication in plants. Nucleic Acids Res. 2013, 41: D1152-D1158. 10.1093/nar/gks1104.
Yang YW, Lai KN, Tai PY, Li WH: Rates of nucleotide substitution in angiosperm mitochondrial DNA sequences and dates of divergence between Brassica and other angiosperm lineages. J Mol Evol. 1999, 48: 597-604. 10.1007/PL00006502.
Koch M, Haubold B, Mitchell-Olds T: Molecular systematics of the Brassicaceae: evidence from coding plastidic matK and nuclear Chs sequences. Am J Bot. 2001, 88: 534-544. 10.2307/2657117.
Shirasawa K, Oyama M, Hirakawa H, Sato S, Tabata S, Fujioka T, Kimizuka-Takagi C, Sasamoto S, Watanabe A, Kato M: An EST-SSR linkage map of Raphanus sativus and comparative genomics of the Brassicaceae. DNA Res. 2011, 18: 221-232. 10.1093/dnares/dsr013.
Guo S, Liu J, Zheng Y, Huang M, Zhang H, Gong G, He H, Ren Y, Zhong S, Fei Z: Characterization of transcriptome dynamics during watermelon fruit development: sequencing, assembly, annotation and gene expression profiles. BMC Genomics. 2011, 12: 454-10.1186/1471-2164-12-454.
Shen D, Sun H, Huang M, Zheng Y, Li X, Fei Z: RadishBase: a database for genomics and genetics of radish. Plant Cell Physiol. 2013, 54: e3-10.1093/pcp/pcs176.
Nei M: Phylogenetic analysis in molecular evolutionary genetics. Annu Rev Genet. 1996, 30: 371-403. 10.1146/annurev.genet.30.1.371.
Tsuro M, Suwabe K, Kubo N, Matsumoto S, Hirai M: Construction of a molecular linkage map of radish (Raphanus sativus L.), based on AFLP and Brassica-SSR markers. Breed Sci. 2005, 55: 107-111. 10.1270/jsbbs.55.107.
Yamagishi H, Terachi T: Multiple origins of cultivated radishes as evidenced by a comparison of the structural variations in mitochondrial DNA of Raphanus. Genome. 2003, 46: 89-94. 10.1139/g02-110.
Yamane K, Lü N, Ohnishi O: Multiple origins and high genetic diversity of cultivated radish inferred from polymorphism in chloroplast simple sequence repeats. Breed Sci. 2009, 59: 55-65. 10.1270/jsbbs.59.55.
Lü N, Yamane K, Ohnishi O: Genetic diversity of cultivated and wild radish and phylogenetic relationships among Raphanus and Brassica species revealed by the analysis of trn K/mat K sequence. Breed Sci. 2008, 58: 15-22. 10.1270/jsbbs.58.15.
NCBI UniVec database.http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/VecScreen/UniVec.html,
Zheng Y, Zhao L, Gao J, Fei Z: iAssembler: a package for de novo assembly of Roche-454/Sanger transcriptome sequences. BMC Bioinformatics. 2011, 12: 453-10.1186/1471-2105-12-453.
Plant specific GO slims.http://www.geneontology.org/GO.slims.shtml,
Li L, Stoeckert CJJ, Roos DS: OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003, 13: 2178-2189. 10.1101/gr.1224503.
Boyle EI, Weng S, Gollub J, Jin H, Botstein D, Cherry JM, Sherlock G: GO: TermFinder-open source software for accessing gene ontology information and finding significantly enriched gene ontology terms associated with a list of genes. Bioinformatics. 2004, 20: 3710-3715. 10.1093/bioinformatics/bth456.
Iseli C, Jongeneel CV, Bucher P: ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences. Proc Int Conf Intell Syst Mol Biol. 1999, 138-148.
Wang X, Wang H, Wang J, Sun R, Wu J, Liu S, Bai Y, Mun JH, Bancroft I, Cheng F: The genome of the mesopolyploid crop species Brassica rapa. Nat Genet. 2011, 43: 1035-1039. 10.1038/ng.919.
Swarbreck D, Wilks C, Lamesch P, Berardini TZ, Garcia-Hernandez M, Foerster H, Li D, Meyer T, Muller R, Ploetz L: The arabidopsis information resource (TAIR): gene structure and function annotation. Nucleic Acids Res. 2008, 36: D1009-D1014.
Ming R, Hou S, Feng Y, Yu Q, Dionne-Laporte A, Saw JH, Senin P, Wang W, Ly BV, Lewis KL: The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus). Nature. 2008, 452: 991-996. 10.1038/nature06856.
Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.
Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T: trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009, 25: 1972-1973. 10.1093/bioinformatics/btp348.
Yang Z: PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007, 24: 1586-1591. 10.1093/molbev/msm088.
Wikström N, Savolainen V, Chase MW: Evolution of the angiosperms: calibrating the family tree. Proc Biol Sci. 2001, 268: 2211-2220. 10.1098/rspb.2001.1782.
Crepet WL, Nixon KC, Gandolfo MA: Fossil evidence and phylogeny: the age of major angiosperm clades based on mesofossil and macrofossil evidence from cretaceous deposits. Am J Bot. 2004, 91: 1666-1682. 10.3732/ajb.91.10.1666.
Salse J, Abrouk M, Bolot S, Guilhot N, Courcelle E, Faraut T, Waugh R, Close TJ, Messing J, Feuillet C: Reconstruction of monocotelydoneous proto-chromosomes reveals faster evolution in plants than in animals. Proc Natl Acad Sci USA. 2009, 106: 14908-14913. 10.1073/pnas.0902350106.
Murat F, Xu JH, Tannier E, Abrouk M, Guilhot N, Pont C, Messing J, Salse J: Ancestral grass karyotype reconstruction unravels new mechanisms of genome shuffling as a source of plant evolution. Genome Res. 2010, 20: 1545-1557. 10.1101/gr.109744.110.
Clepet C, Joobeur T, Zheng Y, Jublot D, Huang M, Truniger V, Boualem A, Hernandez-Gonzalez ME, Dolcet-Sanjuan R: Analysis of expressed sequence tags generated from full-length enriched cDNA libraries of melon. BMC Genomics. 2011, 12: 252-10.1186/1471-2164-12-252.
Marth GT, Korf I, Yandell MD, Yeh RT, Gu Z, Zakeri H, Stitziel NO, Hillier L, Kwok PY, Gish WR: A general approach to single-nucleotide polymorphism discovery. Nat Genet. 1999, 23: 452-456. 10.1038/70570.
Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011, 28: 2731-2739. 10.1093/molbev/msr121.
We thank Prof. Jocelyn Rose for his critical reading of the manuscript. This work was supported by National Science Foundation (IOS-0923312), the National High-tech R&D Program of China (2012AA021801) and the National Science & Technology Pillar Program of China during the Twelfth Five-year Plan Period (2013BAD01B04).
The authors declare that they have no competing financial interests.
ZF and XL conceived and designed the study. DS, HS, MH, YZ, YQ and ZF performed the data analysis. DS, HS and ZF wrote the manuscript. All authors approved the final manuscript.
Di Shen, Honghe Sun contributed equally to this work.
Electronic supplementary material
Additional file 5: This figure shows the distribution of synonymous nucleotide substitution (Ks) rates between homologous gene pairs within Arabidopsis (yellow), papaya (black) and between Brassica rapa and Arabidopsis (cyan) and Brassica rapa and papaya (red). (PDF 142 KB)
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Shen, D., Sun, H., Huang, M. et al. Comprehensive analysis of expressed sequence tags from cultivated and wild radish (Raphanus spp.). BMC Genomics 14, 721 (2013). https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2164-14-721
- Comparative analysis
- Whole genome duplication
- Phylogenetic relationship