- Research article
- Open Access
Expression patterns, molecular markers and genetic diversity of insect-susceptible and resistant Barbarea genotypes by comparative transcriptome analysis
BMC Genomics volume 16, Article number: 486 (2015)
Barbarea vulgaris contains two genotypes: the glabrous type (G-type), which confers resistance to the diamondback moth (DBM) and other insect pests, and the pubescent type (P-type), which is susceptible to the DBM. Herein, the transcriptomes of P-type B. vulgaris before and after DBM infestation were subjected to Illumina (Solexa) pyrosequencing and comparative analysis.
5.0 gigabase pairs of clean nucleotides were generated. Non-redundant unigenes (33,721) were assembled and 94.1 % of them were annotated. Compared with our previous G-type transcriptome, the expression patterns of many insect responsive genes, including those related to secondary metabolism, phytohormones and transcription factors, which were significantly induced by DBM in G-type plants, were less sensitive to DBM infestation in P-type plants. The genes of the triterpenoid saponin pathway were identified in both G- and P-type plants. The upstream genes of the pathway showed similar expression patterns between the two genotypes. However, gene expression for two downstream enzymes, the glucosyl transferase (UGT73C11) and an oxidosqualene cyclase (OSC), were significantly upregulated in the P-type compared with the G-type plant. The homologous genes from P- and G-type plants were detected by BLAST unigenes with a cutoff level E-value < e−10. 12,980 gene families containing 26,793 P-type and 36,944 G-type unigenes were shared by the two types of B. vulgaris. 38,397 single nucleotide polymorphisms (SNPs) were found in 9,452 orthologous genes between the P- and G-type plants. We also detected 5,105 simple sequence repeats (SSRs) in the B. vulgaris transcriptome, comprising mono-nucleotide-repeats (2,477; 48.5 %) and triple-nucleotide-repeats (1,590; 31.1 %). Of these, 1,657 SSRs displayed polymorphisms between the P- and G-type. Consequently, 913 SSR primer pairs were designed with a resolution of more than two nucleotides. We randomly chose 30 SSRs to detect the genetic diversity of 32 Barbarea germplasms. The distance tree showed that these accessions were clearly divided into groups, with the G-type grouping with available Western and Central European B. vulgaris accessions in contrast to the P-type accession, B. stricta and B. verna.
These data represent useful information for pest-resistance gene mining and for the investigation of the molecular basis of plant-pest interactions.
Barbarea is a genus comprising 29 species of flowering plants from the tribe Cardamineae in the family Brassicaceae . B. vulgaris, B. intermedia, B. stricta, and B. verna are four widely distributed biennial species that are commonly used as model plants in research [2, 3]. B. vulgaris contains two distinct genotypes: the G-type has glabrous leaves and is resistant to infestation by the diamondback moth (DBM, Plutella xylostella) and a flea beetle (Phyllotreta nemorum); the P-type has pubescent leaves and is susceptible to DBM and flea beetles [4–6]. The two types also differ in their glucosinolate composition, flavonoid composition, saponin content and disease susceptibility [4–11]. Recently, significant genetic diversity and reproductive incompatibility have been reported between the two plant types . The ability to induce oviposition and kill larvae of the DBM, a serious pest of cruciferous crops, makes the G-type B. vulgaris a useful trap crop for pest management [13–16]. The P- and G-types of B. vulgaris and the DBM represent an ideal model to study evolution in plant-insect ecology [4–21].
The insect resistance ability of G-type B. vulgaris relies on the four triterpenoid saponins, including 3-O-cellobiosyl-oleanoic acid, 3-O-cellobiosyl-hederagenin, 3-O-cellobiosyl-gypsogenin and 3-O-cellobiosyl-4-epihederagenin [5, 18–20]. To the best of our knowledge, these metabolites are not found in P-type B. vulgaris or non-Barbarea cruciferous plants. The saponin biosyntheses have developed from the triterpenoid pathway, which exists commonly in plants. The triterpenoid backbone, 2,3-oxidosqualene, is first cyclized to form a core structure by oxidosqualene cyclases (OSCs), and then decorated by cytochrome P450s (P450s) and further covalently linked to sugars by glycosyltransferases (UGTs) . The different decorations and diverse sugar residues of saponins produce distinct biological activities, such as anti-pathogenic, insecticidal, anti-tumorigenic and immunomodulatory effects [22–24]. In G-type B. vulgaris, the 2,3-oxidosqualene is cyclized into β-amyrin by a specific OSC, and then the C23, C24 and C28 residues are modified by P450s to form the four sapogenins, all of which are subsequently linked to a cellobiose at the C3 position with a carbon–oxygen β-glycosidic bond [5, 19, 20], thus conferring insect deterrence or insecticidal activity . The UGTs catalyzing the first glycosylation have been cloned from both G- and P-type B. vulgaris . However, the P450s responsible for the C23, C24 and C28 decoration and the UGTs for the second glycosylation remain unidentified.
Much research effort has been applied to identify the anti-insect genes in B. vulgaris, including quantitative trait locus (QTL) mapping and cDNA scanning. A P × G-type derived F2 population has been used for QTL analysis; the insect resistance and the four kinds of triterpenoid saponins co-segregated and were mapped on two genomic regions spanning 7–30 cM . Higher-density markers are needed for fine mapping and finally cloning of the resistance genes. By activity scanning of a cDNA expression library, UGT73C11 encoding the enzyme catalyzing the first monoglucosylation of the saponins was identified. The authors also detected two homologous genes from both P- and G-type B. vulgaris with similar functions . Another efficient technology to identify saponin pathway genes is transcription profiling. Using cDNA-amplified fragment length polymorphism-based transcript profiling of jasmonate-treated plant tissues, a regulator gene MKB1 has been screened out in Medicago truncatula and its control mechanism to manage the biosynthesis of triterpene saponins was further revealed . Using a similar method, a synthesis enzyme of the saponin biosynthesis pathway, CYP716Y1, has been identified in Bupleurum falcatum, and combining this with several other genes the synthesis of monoglycosylated saponins was reconstituted in yeast . Benefitting from the rapid development of next-generation DNA sequencing technology, pyrosequencing has become a labor-efficient and cost-saving transcript profiling method.
Our previous study revealed the transcriptome profile of G-type B. vulgaris under a series of DBM herbivory treatments . The DBM-responsive genes, including those related to secondary metabolism, transcription factors and signaling transduction, were monitored. In the present study, we report the transcriptomes of P-type B. vulgaris before and under DBM infestation, with the aim of determining the differential expression patterns between the two plant genotypes in response to the DBM. The saponin biosynthesis pathways of the two genotypes were compared. A rich set of single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) markers were identified, which will accelerate the map-based cloning of the resistance genes. Additionally, the quality of the SSRs was tested experimentally and the genetic diversity of the Barbarea plants analyzed.
Generation and annotation of the transcriptomes of P-type Barbarea vulgaris
The transcriptomes of G-type B. vulgaris under diamondback moth feeding and non-feeding conditions were pyrosequenced in our previous study . To perform a comparative analysis of the transcriptomes between susceptible and resistant genotypes of Barbarea vulgaris, the transcriptomes of P-type seedlings under DBM feeding and non-feeding conditions were pyrosequenced in the present study. A total of 13,684,884 and 11,415,972 clean paired-end reads containing 2.764 and 2.238 gigabase pairs of clean nucleotides were generated from insect infested and control P-type B. vulgaris, respectively. These data were assembled into a set of 33,721 non-redundant unigenes, with a mean length of 896 nt and an N50 length of 1,440 nt, which were comparable with the G-type transcriptome assembly (Table 1). The length distribution of the unigenes are listed in Additional file 1: Table S1.
Subsequently, we screened the unigene sequences against the NCBI non-redundant (Nr), SwissProt, Gene Ontology (GO), Clusters of Orthologous Groups of proteins (COGs), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway protein databases using BLASTX (e-value < 0.00001). Protein function was predicted from the annotations of the most similar proteins in those databases. As shown in Table 1, 31,715 (94.1 %) unigenes were annotated by at least one of these databases. Detailed information on the Nt, Nr, SwissProt, GO, COGs and KEGG annotations is shown in Tables S2–S7, respectively. The gene functional classification by GO analysis showed that the largest GO terms were “cell”, “binding activity” and “physiological processes” from the “cellular component”, “molecular function” and “biological process” ontologies, respectively. The most abundant COGs terms were “general function prediction only”, “replication, recombination and repair” and “transcription”. The distributions of the functional categories were similar to that of G-type plants (Fig. 1).
Comparison of pest-induced transcriptome patterns between susceptible and resistant B. vulgaris
Of the unigenes, 1,029 were differentially expressed in P-type B. vulgaris, including 530 up- and 499 downregulated, by DBM infestation (Additional file 1: Table S8; Additional file 2: Figure S1). This is far fewer than the number of genes affected by DBM in G-type plants, which accounted for 2,102–4,685 up- and 1,254–5,188 downregulated genes at a series of experimental time points . The GO classification of the differentially expressed P-type unigenes indicated that the “cell junction” and “extracellular region”, “electron carier activity” and “enzyme regulator activaty”, “response to stimulus” and “localization” were the over-represented terms from the “cellular component”, “molecular function” and “biological process” ontologies, respectively. The most abundant COG class was “general function prediction only”, followed by “amino acid transport and metabolism” and “carbohydrate transport and metabolism” (Fig. 2). KEGG pathway analysis indicated that the over-represented pathways of the DBM-infected P-type transcriptome were “Nitrogen metabolism”, “Phenylpropanoid biosynthesis”, “Photosynthesis–antenna proteins” and “Flavonoid biosynthesis” (Table 2 and Additional file 1: Table S9). As shown in Additional file 2: Figure S2, the photosynthesis pathway genes were generally repressed by DBM infestation, indicating that the pest not only consumed the existing assimilates, but also disrupted the photosynthesis process. The phenylpropanoid biosynthesis and flavonoid biosynthesis pathways were upregulated extensively (Additional file 2: Figures S3 and S4), similar to the results found in G-type B. vulgaris and Arabidopsis [29, 30], indicating that these kinds of secondary metabolites  were common response compounds to DBM infestation in plants. Generally, in susceptible plants, the main DBM-affected genes are those engaged in nutrient, amino acid, carbohydrate transport and metabolism, and photosynthetic processes. However, genes related to certain secondary metabolism pathways such as glucosinolate biosynthesis, as well as phytohormones and transcription factors, which were dramatically induced by DBM in G-type B. vulgaris, showed less significant induction in P-type plants.
The saponin pathway in susceptible and resistant B. vulgaris
The genes of the triterpenoid saponin pathway (except P450s) were identified in both G- and P-type B. vulgaris transcriptomes, based on gene annotation. To limit the omissions, the saponin pathway genes were BLAST searched against the transcriptome databases from both G- and P-type plants. Seventy-one G-type and 44 P-type unigenes representing 22 enzymes catalyzing 20 metabolic reactions of the triterpenoid saponin pathway were identified (Additional file 1: Table S10). The presence of more unigenes in the G-type plants could partially reflect the higher heterozygosity among the sequenced individuals; polymorphisms within the alleles could produce multiple potential unigenes during the assembly process. Particularly evident were MDD and LUP2, which were represented by seven CL278.Contigs and five CL2531.Contigs, respectively (Additional file 1: Table S10). The authenticity of these sequences requires further experimental analysis. The expression abundances of these saponin synthesis genes were compared between G- and P-type plants (Fig. 3a and Additional file 1: Table S10); the genes upstream of SE showed similar expression patterns between the two genotypes. Unexpectedly, expression of genes for the bottom first and third enzymes, the glucosyl transferase (UGT73C11) and an oxidosqualene cyclases (OCS), was significantly upregulated, and these mRNAs accumulated by more than 10-fold in the P-type compared with the G-type plant. The over expression of these genes were also comfirmed by Q-PCR analysis, though the change levels were not as high as RNA-Seq displayed (Fig. 3b). One of them, UGT73C11, is known to be functional in the P-type plant . The dramatic induction of these two enzymes could result from the P-type plants suffering more serious damage under insect infestation and because the regulator of this pathway is still functioning. However, some of the enzymes upstream of UGT73C11, most likely the uncharacterized enzyme-P450s, are perhaps dysfunctional or have gained new functions, resulting in no anti-DBM saponin being produced in P-type plants.
Gene divergence and SNP and SSR markers between susceptible and resistant B. vulgaris
The homologous genes were detected by BLAST searching the unigenes from P- and G-type B. vulgaris against each other with a cutoff E-value < e−10. The most similar unigenes within the P- or G-type were treated as paralogous genes, while the most similar ones between the P- and G-type were treated as orthologous genes. 12,980 gene families containing 26,793 P-type and 36,944 G-type unigenes were shared between P- and G-type B. vulgaris (Fig. 4). The 6,928 P-type and 2,587 G-type unique unigenes were mainly composed of 200–300-nt short sequences. The less clustered but more unique unigenes in P-type than in G-type reflected the fact that the P-type transcriptome contained a large fraction (7,857) of 200–300-nt short sequences. We then analyzed the SNP and SSR markers among the orthologous genes distinguishing the two plant genotypes. 38,397 SNPs were found within the 9,452 orthologous genes between the P- and G-type plants (the SNPs within each genotype are not included); thus, about 35.3 % unigenes contain SNPs, with an average of four SNPs per SNP-containing unigene (the detailed SNP list is shown in Additional file 1: Table S11). Among these SNPs, nucleotide transitions accounted nearly triple the number of transversions, and there were many more A/T transversions than G/C transversions (Table 3). The overall GC content is 47 % in this transcriptome. We detected 5,105 SSRs in the P-type transcriptome; the majority comprised mono-nucleotide-repeats (2,477) and triple-nucleotide-repeats (1,590), which represented 48.5 % and 31.1 % of the total SSRs (listed in Additional file 1: Table S12). The SSR-harboring unigene sequences were BLAST searched against the orthologous genes from the G-type plant. 1,657 SSRs with polymorphisms between the two genotypes were identified by a manual check. Among these, 98.4 % comprised mono- (793), double- (273) and triple-(564) nucleotide-repeats, which accounted for 47.9 %, 16.5 % and 34.0 % of the total, respectively (Table 4). From the polymorphic SSRs, 913 primer pairs were designed to detect SSRs with a length divergence of more than two nucleotides between the two genotypes (the primers and the product sequences are listed in Additional file 1: Table S13). As shown in Table 5, the SSRs with 3, 6, 9 and 12-bp variants comprised significantly larger fractions than the other types, suggesting that the SSR type and repeat variant that did not cause frameshift mutations were preferentially selected during evolution.
Genetic diversity of Barbarea germplasm
To test the utility of the SSRs produced in this study, 30 randomly chosen SSRs were used to investigate the genetic diversity of germplasms from the Barbarea genus. Thirty accessions assigned by the supplying seedbank to four species (B. intermedia, B. stricta, B. verna, and B. vulgaris) and derived from seven countries (Austria, Belgium, Germany, Ireland, Norway, Poland and Spain) were analyzed in addition to the two G- and P-type accessions used for transcriptomics (Additional file 1: Table S14). On PCR, 99.7 % of the primer pairs produced clear peaks on electrophoresis and generated 957 data points. The three (0.31 %) low-quality reactions were treated as missing values in the analyses. The 30 SSR markers generated 92 alleles in the population. Among these, 88 alleles displayed a frequency of more than 5 % in the total sample. Rare alleles could have been missed because of the small sample size. The summary statistics of the SSRs are shown in Table 6. The unweighted pair-group method with arithmetic means (UPGMA) tree was generated using the SSR data. Based on the tree topology, the germplasms could be clearly divided into 4 groups and the P-type alone (Fig. 5). The G-type and P-type accessions from this and a previous  transcriptomics study were widely separated as a logical consequence of their polymorphism for all markers used. The B. verna and B. stricta accessions were also separated onto different branches of the tree. Interestingly, the P-type from transcriptomics did not group with any other tested accession, while the G-type from transcriptomics grouped with all the remaining seed bank accessions of B. vulgaris, including twenty-two Western and Central European B. vulgaris accessions. All seed bank B. vulgaris accessions were also found to be resistant to the DBM. Some substructure was evident in the B. vulgaris group, including a distinct group of three accessions (4, 8, 27). However, the seed-bank assigned B. intermedia accessions were completely embedded in the G-type-like B. vulgaris germplasms. Morphological inspection of the two seed bank assigned B. intermedia accessions (as both rosette plants and flowering plants) revealed only modest morphological difference from B. vulgaris (shape of the top few leaves on the scapes) and both B. intermedia accessions showed full DBM resistance (as for the G-type).
The P- and G-types of B. vulgaris have been used extensively to explore plant-insect co-evolution, plant secondary metabolism, and for anti-insect gene identification [4–21, 25, 26, 29]. However, publicly released transcriptome data and molecular markers are extremely rare compared with other model plants. Following our previous transcriptome analysis of G-type plants, the present study presented the first P-type transcriptome data, which will be useful for further studies of the two genotypes. There were 14.7 % fewer assembled unigenes in the P-type compared with the G-type. One possible explanation is that the G-type sequencing produced nearly twice as many clean nucleotides as the P-type (Table 1), allowing the detection of more poorly expressed transcripts. However, the homology analysis of the unigenes revealed that the G-type contains significantly more paralogous genes than the P-type in each family (2.85:2.06) (Fig. 4). The targeted analysis of the triterpenoid saponin pathway also revealed more unigenes in the G-type than in the P-type (71:44) (Additional file 1: Table S10). Research in other plants has indicated that the genes involved in the triterpenoid pathways are often in gene clusters and can evolve new functions by duplication and reorganization [31–34]. Thus, it would be interesting to know whether the G-type plants have evolved a relatively more complicated genome with whole or partial genome duplication, and whether the genes of the triterpenoid saponin pathway are in a cluster in Barbarea. However, more data, such as genome sequencing, are needed to answer these questions.
The functional classification of the unigenes showed similar patterns between the P- and G-type transcriptomes, except in terms of the absolute number of each term, which was usually lower in the P-type compared with the G-type (Fig. 1), implying no bias derived from the transcriptome sequencing and assembly. There were significantly fewer DBM-affected genes in P-type plants, indicating that they have a less complex defense system against the DBM than the G-type. The major groups represented in the DBM-affected genes are those engaged in photosynthesis, nutrient processes, amino acid, lipid and carbohydrate transport and metabolism. The relationship between photosynthesis and insect herbivory response in plants was reviewed by ref. . It is not easy to distinguish which of these effecs are direct responses to insect stimuli and which are indirect, reflecting the severe damage to the plant. However, the triterpenoid saponin pathway, which produces the major insect resistance compounds, was apparently efficiently induced by the DBM in P-type plants, indicating the insect sensing and induction networks of this pathway to be functional. It is thought that the anti-DBM triterpenoid saponins evolved in a common ancestor of B. vulgaris and B. verna, because these species share saponin based DBM (and flea beetle) resistance and the major saponin 3-O-cellobiosyl-hederagenin as the only known plants from the crucifer family [6, 15, 20]. It was also suggested that the P-type might have lost DBM resistance secondarily if truly included in the species B. vulgaris, but that the phylogeny of the two types needed to be tested by modern methods . Our analyses of the putative saponin biosynthesis genes in the P-type suggest that the P-type plants possess the ability to produce other triterpenoid saponins than those conferring resistance to the DBM, because most of the genes of the pathway are expressed and show a positive response to insect stimuli. One possible explanation of the lack of DBM resistance is that in P-type plants certain enzymes in the biosynthesis pathway, such as P450s, are missing or not expressed, or P450s or OSCs have altered product profile, resulting in non-production of the specific anti-DBM saponins. Indeed, presence of unidentified saponin-like metabolites in the P-type has been suggested based on LC-MS analyses . The putative P-type saponins and the present finding of differentially expressed saponin biosynthesis genes support that the P-type represents an advanced state derived from a G-type-like ancestor. It would be interesting to combine our expression-data with quantitative analysis of saponins in the infested P-type plants, but so far no-one has ever identified any of the putative P-type saponins, and the putative metabolites may require elaborate analytical methods .
Great efforts have been made in the map-based cloning of the insect-resistance genes in B. vulgaris. A genetic map has been constructed using 100 amplified fragment length polymorphisms (AFLP) and 31 SSR markers to map saponin genes and several other quantitative trait loci . The authors identified 38,350 SSRs from the G-type transcriptome by 454 pyrosequencing. Among these, only 24 SSRs were finally used for map generation. One possible reason is that screening for polymorphic SSRs is inefficient using a single reference transcriptome. In the present study, two transcriptomes were compared and manually screened for polymorphic SSRs before primer design. More than 70 % of the 913 primer pairs produced clear polymorphic bands between the P- and G-type plants. Our method, although seemingly labor intensive, could reduce the costs of primer syntheses and the labor cost of experimental screening. Our high-quality ready-to-use SSRs and SNPs will be useful to construct high-density maps and for fine mapping of the saponin genes and other interesting trait loci.
In our genetic diversity analysis, because the SSRs we used are those that primarily distinguished the G- and P-type plants, the distance between the two types was expected to be magnified, and indeed the types were widely separated in the resulting tree. However, the fine clustering of the accessions in accordance with traditional taxonomy (except two B. intermedia accessions) suggested that the additional topologies of the tree represent genetic difference with biological significance. Many studies have shown that the P- and G-type plants are divergent in their morphology, phenology, cytology, phytochemical compounds and anti-insect capability [2–6, 11]. Recent studies also revealed a strong genetic separation and hybridization barrier between the two plant genotypes using five SSR markers, AFLP markers and a series of pollination experiments [12, 17, 37]. Our diversity analysis demonstrates similarity of the previously investigated G-type [5, 6, 29] to a large sample of Central and Western European B. vulgaris accessions in contrast to remarkable distinctness of the P-type accession investigated here and previously [5, 6]. The P-type is apparently recognized at the level of “variety” in classical taxonomy (var. pubescens Busch) [6, 38]. Any future taxonomic revision is yet undecided. A recent investigation across a hybrid zone of the two types in Eastern Europe found signs of hybridization and otherwise distinct geographical zones of each type, but the question of e.g. variety, subspecies or even species level separation has not been answered [17, 37, 38].
Interestingly, although P-type like accessions were not discovered in the investigated germplasm, another genetic substructure with no correlation to geographic origin was evident within B. vulgaris, with three accessions (4, 8, 27) forming a distinct group. This diversity deserves further investigation, and could represent established taxa  or yet unknown genotypes . The finding of two B. intermedia accessions completely embedded in B. vulgaris and fully resistant to DBM was a surprise and could be a chance effect, considering genetic distinctness of B. intermedia in previous molecular investigations , near lack of flea beetle resistance in the species , and the well established status of B. intermedia . Natural hybrids between B. vulgaris and B. intermedia are known , and as the two studied accessions were surprisingly similar to B. vulgaris, a hybrid nature of the seed bank-assigned accessions is another possible explanation for this finding.
Future studies employing unbiased molecular markers and integrating more germplasms of the Barbarea genus onto the tree may explain at what point the DBM resistance arose in a common ancestor of B. vulgaris and B. verna and possibly was lost in the P-type line  during the evolution of the Barbarea. The present detailed molecular genetic investigation of lack of DBM resistance, as compared to full DBM resistance , will contribute to understanding the molecular events associated with evolutionary loss of insect resistance.
In conclusion, the present study reports the first P-type B. vulgaris transcriptomes from insect-free plants and those under DBM infestation. At the transcriptome level, the P-type plants reacted differently to the G-type under DBM infestation. Most of the genes of the triterpenoid saponins pathway are present and insect inducible in P-type plants. Many high-quality SNPs and SSR markers were identified based on P- and G-type transcriptome comparison. A subset of ready-to-use SSR primers was designed for genetic analysis of P- and G-type populations. Using the SSRs, further genetic diversity of Barbarea germplasms was revealed. These findings provide a basis for further investigation of the molecular biology and molecular ecology of the on-going evolution of insect resistance in Barbarea plants.
The B. vulgaris lines B4 (P-type) and B44 (G-type) (accession numbers as in ), which were pyrosequenced in the present and previous [5, 29] studies, respectively, were introduced from the University of Copenhagen, Denmark. The other 30 accessions used in this study were from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany. The passport information of these germplasms is listed in Additional file 1: Table S14.
Plant growth conditions were similar to our previous study . Seeds were surface-sterilized in 1 % NaClO and sown in plastic pots (10 cm wide × 10 cm tall) filled with a mixture of peat soil (peat:moss:perlite:vermiculite soil = 3:2:1:1). Each pot contained one plant. Seedlings were placed in an artificial climate room with the temperature set at 25 °C (light) and 20 °C (dark), and 60 % relative humidity. Sodium lamps were used to maintain a minimum photosynthetically available radiation (PAR) of 225 μmol · m−2 · s−1, with a photoperiod of 16 h:8 h (L:D). Plants were watered regularly and fertilized with half-strength Hoagland’s nutrient solution. Plants aged 6 to 7 weeks were used for the DBM infestation assays.
DBM (P. xylostella) larvae were maintained on cabbage leaves in a climate-controlled cage at 25 °C, 12 h:12 h photoperiod and 50 % to 60 % relative humidity. Four DBM larvae of second to third instars were inoculated onto each fully expended leaf of the seedlings and allowed to stay on the leaves until the time of harvest. The control group comprised similar plants and was maintained under the same conditions but without exposure to DBM larvae. Five plants were used as biological replicates. Leaves from DBM-exposed plants and controls were harvested 4 h after the onset of herbivory, and flash-frozen in liquid nitrogen for future use.
RNA isolation and sequencing
The TRIZOL reagent (Invitrogen, CA, USA) was used to isolate total RNAs from the liquid-nitrogen-frozen samples, according to the manufacturer’s instructions. BIOMARKER (Beijing, China) performed the Illumina sequencing. Total RNA (10 μg) was subjected to poly-A selection, fragmentation, random priming, and first and second-strand cDNA synthesis using the Illumina Gene Expression Sample Prep kit (Illumina, CA, USA). The cDNA fragments were subjected to an end repair process and then ligated to adapters. The products were enriched by PCR, and then the 350-bp fragments (270-bp insertion and 80-bp adapters) were gel-purified after 6 % TBE polyacrylamide gel electrophoresis. After denaturation, the single-chain fragments were fixed onto the Solexa Sequencing Chip (Flowcell) and subsequently grown into single-molecule cluster sequencing templates via in situ amplification on an Illumina Cluster Station. Double-end pyrosequencing was performed on the Illumina Genome Analyzer platform. The read-length is 101-bp for each end.
Raw reads produced from the sequencing machines were first subjected to purification by removal of adaptors and low-quality reads. The clean reads of infested and control plants were separately subjected to transcriptome de novo assembly using the short-read assembling program (Trinity) . The longest assembled sequences were termed contigs. The paired-end reads were then mapped back to the contigs. Sequences without Ns and that could not be extended at either end were defined as transcripts. The TGI Clustering Tool (TGICL)  was then used to assemble the transcripts into unigenes. The unigenes from the treated and the control sample were clustered again; the longest ones from the two data sets were adopted to form a single set of non-redundant unigenes.
The program getorf from EMBOSS  was used to predict the open reading frames (ORF) of the unigenes. The deduced longest ORF was adopted as the coding region sequence (CDS) of the unigene. The CDSs were translated into amino sequences using the standard codon table. The functions of the unigenes were annotated by Nr, Nt, SwissProt, KEGG, COG, and GO methods. All unigene sequences were searched against these protein databases using BLASTX (e-value < 0.00001). Protein function information was predicted from the annotations of the most similar proteins in those databases.
Unigene expression levels were calculated using the reads per kilobase per million (RPKM) method , the formula for which is RPKM = (1,000,000 * C) / (N * L * 1000), where RPKM(A) is the expression of gene A, C is the number of reads that uniquely align to gene A, N is the total number of reads that uniquely align to all genes, and L is the number of bases in gene A. Statistical comparisons between the treated sample and control was performed using IDEG6 software . The general Chi squared method was used and the false discovery rate (FDR) was applied to determine the threshold of Q-value. Unigenes were considered differentially expressed (DEG) when the RPKM between the treatment and the control displayed a more than two-fold change, with an FDR less than 10−2.
The DEGs were then mapped to GO terms and KEGG pathways and followed with an enrichment analysis useing hypergeometric test to find over-represented GO terms and KEGG pathways. The algorithm used is described as follows:
Where N is the number of all genes with GO or KEGG annotation; n is the number of DEGs in N; M is the number of all genes that are annotated to certain GO terms or KEGG pathways; m is the number of DEGs in M. The calculated p-value goes through Bonferroni Correction , taking a corrected p-value ≤ 0.05 as threshold.
Orthologous gene analysis
The unigenes from the P-type and G-type transcriptomes were BLAST searched against each other with a cutoff value e−10. The best homologs within each genotype were designated as paralogous genes. The best homologs between the two genotypes were designated as orthologous genes.
SOAPsnp  was used to analyze the SNPs between the P- and G-type transcriptomes. SNPs with a sequencing depth more than 10, a score more than 30 and the adjacent SNPs harboring an interval no less than 5 bp were selected.
The MIcroSAtellite identification tool MISA  was used to identify and localize SSRs in unigenes longer than 1 Kb. The SSR-containing sequences were extracted with a 300-bp (if less than 300 bp, extracted from the end) fragment upstream and downstream of the SSR region sequence to facilitate primer design. For identification of SSRs that could distinguish the P- and G-type plants, the SSR repeats between the orthologous genes were checked. SSRs with polymorphisms were extracted and submitted for primer design using Primer 3.0.
DNA extraction and SSR analysis
Newly formed leaves from five individual plants per accession were bulk sampled. The cetyl trimethylammonium bromide method  was used to extract genomic DNA. Thirty SSR markers were used in this study and the primer pairs are listed in Table 6. PCR amplifications were performed in a 15-μl volume containing 20–50 ng template DNA, 0.4 pmol primers, 0.5 U Taq enzyme and 1× PCR reaction buffer. Reactions were performed with an initial denaturation step of 5 min at 95 °C; followed by 35 cycles of 95 °C for 30 s, 57 °C for 45 s and 72 °C for 30 s; and a final extension at 72 °C for 10 min. The PCR products were then separated on an 8 % polyacrylamide gel electrophoresis and visualized with silver staining.
Genetic diversity assessment
PowerMarker version 3.25  was used to calculate the allele number, allele frequency, heterozygosity, genotype number, gene diversity and polymorphism information content (PIC). Tree topologies were constructed based on the bootstrapped UPGMA method within the MEGA software .
The plant samples and RNAs were prepared using the same method as that for RNA-Seq. First-strand cDNAs were synthesized from 800 ng total RNAs using EasyScript One-Step gDNA Removal and cDNA Synthesis SuperMix (TransGen, Beijing, China) and diluted 20-fold as templates. The primers of the selected genes were as follows: HMGS-F (5′- GGGCGTCTTGAAGTAGGAAG-3′) and HMGS-R (5′- CAGTTCCACCATAGCAAGCA-3′); OSC-F (5′- GTCGGACGTCAAACATGGGA-3′) and OSC-R (5′- GCCACAAGAGATCACTGCAA-3′); UGT-F (5′- CCTTGCACATCATTCCGTTGG-3′) and UGT-R (5′- TGGCCAAGTGAGCAATGGAA-3′). The Tublin (Tublin-F: 5′- GGAGATGTTTAGGCGTGTG-3′ and Tublin-R: 5′- GCGTCTTGGTATTGCTGGT-3′) were used as internal controls. Experiments were performed on a StepOne™ Real-Time PCR System (Applied Biosystems, UK) using TransStar Green qPCR SuperMix (TransGen). The reaction volume was 20 μL, including 10 μL of TransStar Green qPCR SuperMix, 0.4 μL of 10 mM primer, 1.0 μL of the cDNA sample, 0.4 μL of Passive Reference Dye and 7.8 μL of dH2O. The following thermal cycling profile was used: 95 °C 10 min; 40 cycles of 95 °C for 15 s, 58 °C for 15 s, 72 °C for 10 s; 95 °C for 15 s, 60 °C for 1 min, 95 °C for 15 s. Three independent biological and technical replicates were performed. Data were analyzed using StepOne™ Software Version 2.0 (Applied Biosystems). The fold change was estimated in terms of threshold cycles by the 2−ΔΔCT method .
RNAseq data are available at EMBL/NCBI/SRA (accession number SRR1582492 and SRR1583630).
Coding region sequence
Clusters of orthologous groups
Differentially expressed gene
Deoxy-D-xylulose 5-phosphate reductase
Deoxy-D-xylulose 5-phosphate synthase
False discovery rate
Farnesyl pyrophosphate synthase
Geranylgeranyl pyrophosphate synthase
(E)-4-Hydroxy-3-methyl-but-2-enyl pyrophosphate (HMB-PP) synthase
3-hydroxy-3-methylglutaryl CoA reductase
3-hydroxy-3-methylglutaryl CoA synthase
Kyoto encyclopedia of gene and genomes
2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase
mevalonic acid diphosphate decarboxylase
2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase
Mevalonic acid kinase
Open reading frames
Polymorphism information content
Reads per kilobase per million
UDP-dependent glycosyl transferases
Unweighted pair-group method with arithmetic
Al-Shehbaz I, Beilstein M, Kellogg E. Systematics and phylogeny of the Brassicaceae (Cruciferae): an overview. Plant Syst Evol. 2006;259:89–120.
Orgaard M, Linde-Laursen I. Cytogenetics of Danish species of Barbarea (Brassicaceae): chromocentres, chromosomes and rDNA sites. Hereditas. 2007;144(4):159–70.
Orgaard M, Linde-Laursen I. Meiotic analysis of Danish species of Barbarea (Brassicaceae) using FISH: chromosome numbers and rDNA sites. Hereditas. 2008;145(5):215–9.
Agerbirk N, Olsen CE, Nielsen JK. Seasonal variation in leaf glucosinolates and insect resistance in two types of Barbarea vulgaris ssp arcuata. Phytochemistry. 2001;58(1):91–100.
Agerbirk N, Olsen CE, Bibby BM, Frandsen HO, Brown LD, Nielsen JK, et al. A saponin correlated with variable resistance of Barbarea vulgaris to the diamondback moth Plutella xylostella. J Chem Ecol. 2003;29(6):1417–33.
Agerbirk N, Orgaard M, Nielsen JK. Glucosinolates, flea beetle resistance, and leaf pubescence as taxonomic characters in the genus Barbarea (Brassicaceae). Phytochemistry. 2003;63(1):69–80.
van Molken T, Kuzina V, Munk KR, Olsen CE, Sundelin T, van Dam NM, et al. Consequences of combined herbivore feeding and pathogen infection for fitness of Barbarea vulgaris plants. Oecologia. 2014;175(2):589–600.
Agerbirk N, Olsen CE. Isoferuloyl derivatives of five seed glucosinolates in the crucifer genus Barbarea. Phytochemistry. 2011;72(7):610–23.
Badenes-Perez FR, Gershenzon J, Heckel DG. Insect attraction versus plant defense: young leaves high in glucosinolates stimulate oviposition by a specialist herbivore despite poor larval survival due to high saponin content. PLoS One. 2014;9(4):e95766.
van Leur H, Raaijmakers CE, van Dam NM. A heritable glucosinolate polymorphism within natural populations of Barbarea vulgaris. Phytochemistry. 2006;67(12):1214–23.
Dalby-Brown L, Olsen CE, Nielsen JK, Agerbirk N. Polymorphism for novel tetraglycosylated flavonols in an eco-model crucifer, Barbarea vulgaris. J Agric Food Chem. 2011;59(13):6947–56.
Toneatto F, Nielsen JK, Orgaard M, Hauser TP. Genetic and sexual separation between insect resistant and susceptible Barbarea vulgaris plants in Denmark. Mol Ecol. 2010;19(16):3456–65.
Badenes-Perez FR, Shelton AM, Nault BA. Evaluating trap crops for diamondback moth, Plutella xylostella (Lepidoptera: Plutellidae). J Econ Entomol. 2004;97(4):1365–72.
Badenes-Perez FR, Shelton AM, Nault BA. Using yellow rocket as a trap crop for diamondback moth (Lepidoptera: Plutellidae). J Econ Entomol. 2005;98(3):884–90.
Badenes-Perez FR, Reichelt M, Gershenzon J, Heckel DG. Using plant chemistry and insect preference to study the potential of Barbarea (Brassicaceae) as a dead-end trap crop for diamondback moth (Lepidoptera: Plutellidae). Phytochemistry. 2014;98:137–44.
Lu JH, Liu SS, Shelton AM. Laboratory evaluations of a wild crucifer Barbarea vulgaris as a management tool for the diamondback moth Plutella xylostella (Lepidoptera: Plutellidae). Bull Entomol Res. 2004;94(6):509–16.
Christensen S, Heimes C, Agerbirk N, Kuzina V, Olsen CE, Hauser TP. Different geographical distributions of two chemotypes of Barbarea vulgaris that differ in resistance to insects and a pathogen. J Chem Ecol. 2014;40(5):491–501.
Nielsen JK, Nagao T, Okabe H, Shinoda T. Resistance in the plant, Barbarea vulgaris, and counter-adaptations in flea beetles mediated by saponins. J Chem Ecol. 2010;36(3):277–85.
Nielsen NJ, Nielsen J, Staerk D. New resistance-correlated saponins from the insect-resistant crucifer Barbarea vulgaris. J Agric Food Chem. 2010;58(9):5509–14.
Shinoda T, Nagao T, Nakayama M, Serizawa H, Koshioka M, Okabe H, et al. Identification of a triterpenoid saponin from a crucifer, Barbarea vulgaris, as a feeding deterrent to the diamondback moth, Plutella xylostella. Journal Chem Ecol. 2002;28(3):587–99.
Augustin JM, Kuzina V, Andersen SB, Bak S. Molecular activities, biosynthesis and evolution of triterpenoid saponins. Phytochemistry. 2011;72(6):435–57.
Sparg SG, Light ME, van Staden J. Biological activities and distribution of plant saponins. J Ethnopharmacol. 2004;94(2–3):219–43.
Fuchs H, Bachran D, Panjideh H, Schellmann N, Weng A, Melzig MF, et al. Saponins as tool for improved targeted tumor therapies. Curr Drug Targets. 2009;10(2):140–51.
Just MJ, Recio MC, Giner RM, Cuellar MJ, Manez S, Bilia AR, et al. Anti-inflammatory activity of unusual lupane saponins from Bupleurum fruticescens. Planta Med. 1998;64(5):404–7.
Augustin JM, Drok S, Shinoda T, Sanmiya K, Nielsen JK, Khakimov B, et al. UDP-glycosyltransferases from the UGT73C subfamily in Barbarea vulgaris catalyze sapogenin 3-O-glucosylation in saponin-mediated insect resistance. Plant Physiol. 2012;160(4):1881–95.
Kuzina V, Nielsen JK, Augustin JM, Torp AM, Bak S, Andersen SB. Barbarea vulgaris linkage map and quantitative trait loci for saponins, glucosinolates, hairiness and resistance to the herbivore Phyllotreta nemorum. Phytochemistry. 2011;72(2–3):188–98.
Pollier J, Moses T, Gonzalez-Guzman M, De Geyter N, Lippens S, Vanden Bossche R, et al. The protein quality control system manages plant defence compound synthesis. Nature. 2013;504(7478):148–52.
Moses T, Pollier J, Almagro L, Buyst D, Van Montagu M, Pedreno MA, et al. Combinatorial biosynthesis of sapogenins and saponins in Saccharomyces cerevisiae using a C-16alpha hydroxylase from Bupleurum falcatum. Proc Natl Acad Sci U S A. 2014;111(4):1634–9.
Wei X, Zhang X, Shen D, Wang H, Wu Q, Lu P, et al. Transcriptome analysis of Barbarea vulgaris infested with diamondback moth (Plutella xylostella) larvae. PLoS One. 2013;8(5):e64481.
Ehlting J, Chowrira SG, Mattheus N, Aeschliman DS, Arimura G, Bohlmann J. Comparative transcriptome analysis of Arabidopsis thaliana infested by diamond back moth (Plutella xylostella) larvae reveals signatures of stress response, secondary metabolism, and signalling. BMC Genomics. 2008;9:154.
Inagaki YS, Etherington G, Geisler K, Field B, Dokarry M, Ikeda K, et al. Investigation of the potential for triterpene synthesis in rice through genome mining and metabolic engineering. New Phytol. 2011;191(2):432–48.
Qi X, Bakht S, Leggett M, Maxwell C, Melton R, Osbourn A. A gene cluster for secondary metabolism in oat: implications for the evolution of metabolic diversity in plants. Proc Natl Acad Sci U S A. 2004;101(21):8233–8.
Qi X, Bakht S, Qin B, Leggett M, Hemmings A, Mellon F, et al. A different function for a member of an ancient and highly conserved cytochrome P450 family: from essential sterols to plant defense. Proc Natl Acad Sci U S A. 2006;103(49):18848–53.
Thimmappa R, Geisler K, Louveau T, O’Maille P, Osbourn A. Triterpene biosynthesis in plants. Annu Rev Plant Biol. 2014;65:225–57.
Kerchev PI, Fenton B, Foyer CH, Hancock RD. Plant responses to insect herbivory: interactions between photosynthesis, reactive oxygen species and hormonal signalling pathways. Plant Cell Environ. 2012;35(2):441–53.
Khakimov B, Amigo JM, Bak S, Engelsen SB. Plant metabolomics: resolution and quantification of elusive peaks in liquid chromatography-mass spectrometry profiles of complex plant extracts using multi-way decomposition methods. J Chromatogr A. 2012;1266:84–94.
Toneatto F, Hauser TP, Nielsen JK, Orgaard M. Genetic diversity and similarity in the Barbarea vulgaris complex (Brassicaceae). Nord J Bot. 2012;30:506–12.
Agerbirk N, Olsen CE, Heimes C, Christensen S, Bak S, Hauser TP: Multiple hydroxyphenethyl glucosinolate isomers and their tandem mass spectrometric distinction in a geographically structured polymorphism in the crucifer Barbarea vulgaris. Phytochemistry 2015, doi:10.1016/j.phytochem.2014.09.003.
Hegi G. Illustrierte Flora von Mittel-Europa. Munich, Germany: Carl Hanser Verlag; 1958.
Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29(7):644–52.
Pertea G, Huang X, Liang F, Antonescu V, Sultana R, Karamycheva S, et al. TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. Bioinformatics. 2003;19(5):651–2.
Olson SA. EMBOSS opens up sequence analysis. European Molecular Biology Open Software Suite. Brief Bioinform. 2002;3(1):87–91.
Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods. 2008;5(7):621–8.
Romualdi C, Bortoluzzi S, D’Alessi F, Danieli GA. IDEG6: a web tool for detection of differentially expressed genes in multiple tag sampling experiments. Physiol Genomics. 2003;12(2):159–62.
Abdi H. Bonferroni and Sidák corrections for multiple comparisons. In: Salkind NJ, editor. Encyclopedia of measurement and statistics. Thousand Oaks, CA, USA: Sage; 2007.
Li R, Li Y, Fang X, Yang H, Wang J, Kristiansen K, et al. SNP detection for massively parallel whole-genome resequencing. Genome Res. 2009;19(6):1124–32.
MISA - MIcroSAtellite identification tool [http://pgrc.ipk-gatersleben.de/misa/]
Stewart Jr CN, Via LE. A rapid CTAB DNA isolation technique useful for RAPD fingerprinting and other PCR applications. Biotechniques. 1993;14(5):748–50.
Liu K, Muse SV. PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics. 2005;21(9):2128–9.
Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007;24(8):1596–9.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−delta delta C(T)) method. Methods. 2001;25(4):402–8.
This work was supported by grants from the National Key Technology R & D Program of the Ministry of Science and Technology of China (2013BAD01B04-2), 948 Program (2011-G1(4)-02) and the Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-IVFCAAS). We are grateful to Dr. Andreas Graner from Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) for kindly providing Barbarea seeds.
The authors declare that they have no competing interests.
Conceived and designed the experiments: XL, XZ, XW. Performed the experiments: TL, XW, XZ. Analyzed the data: XZ, TL, XW, XL, YQ, HW, DS, JS. Contributed seeds and ideas: NA. Wrote the paper: XZ, TL, XL, NA. All authors read and approved the final manuscript.
Xiaohui Zhang, Tongjin Liu and Xiaochun Wei were authors contributed equally to this research.
The statistic of P-type Barbarea Unigenes. Table S2. The Nt annotation of unigenes from P-type B.vulgaris. Table S3. The Nr annotation of unigenes from P-type B.vulgaris. Table S4. The Swissprot annotation of unigenes from P-type B.vulgaris. Table S5. The GO annotation of unigenes from P-type B.vulgaris. Table S6. The COG annotation of unigenes from P-type B.vulgaris. Table S7. The KEGG annotation of unigenes from P-type B.vulgaris. Table S8. The differentially expressed unigenes from P-type B. vulgaris with DBM infest and non-infest control. Table S9. The KEGG pathways affected by DBM in P-type B. vulgaris. Table S10. The expression profiles of saponin pathways in P- and G-type B. vulgaris. Table S11. The SNPs between P- and G-type B. vulgaris. Table S12. The SSR list from P-type B. vulgaris. Table S13. The SSR primer list for B. vulgaris. Table S14. The information list of Barbarea germplasm analyzed.
Expression (left) and fold-change (right) plots of transcripts of P-type B. vulgaris. Figure S2. Expression of photosynthetic related pathways response to diamondback moth. Figure S3. Expression of phenylpropanoid biosynthesis pathway response to diamondback moth. Figure S4. Expression of flavonoid biosynthesis pathway response to diamondback moth.
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Zhang, X., Liu, T., Wei, X. et al. Expression patterns, molecular markers and genetic diversity of insect-susceptible and resistant Barbarea genotypes by comparative transcriptome analysis. BMC Genomics 16, 486 (2015). https://doi.org/10.1186/s12864-015-1609-y
- Barbarea vulgaris
- Diamondback moth
- Expression pattern
- Molecular marker
- Genetic diversity
- Saponin biosynthesis