Differential transcriptomic responses to Fusarium graminearum infection in two barley quantitative trait loci associated with Fusarium head blight resistance
© Huang et al. 2016
Received: 9 March 2016
Accepted: 6 May 2016
Published: 21 May 2016
Fusarium graminearum causes Fusarium head blight (FHB), a major disease problem worldwide. Resistance to FHB is controlled by quantitative trait loci (QTL) of which two are located on barley chromosomes 2H bin8 and 6H bin7. The mechanisms of resistance mediated by FHB QTL are poorly defined.
Near-isogenic lines (NILs) carrying Chevron-derived resistant alleles for the two QTL were developed and exhibited FHB resistance in field trials. To understand the molecular responses associated with resistance, transcriptomes of the NILs and recurrent parents (M69 and Lacey) were investigated with RNA sequencing (RNA-Seq) after F. graminearum or mock inoculation. A total of 2083 FHB-responsive transcripts were detected and provide a gene expression atlas for the barley-F. graminearum interaction. Comparative analysis of the 2Hb8 resistant (R) NIL and M69 revealed that the 2Hb8 R NIL exhibited an elevated defense response in the absence of fungal infection and responded quicker than M69 upon fungal infection. The 6Hb7 R NIL displayed a more rapid induction of a set of defense genes than Lacey during the early stage of fungal infection. Overlap of differentially accumulated genes were identified between the two R NILs, suggesting that certain responses may represent basal resistance to F. graminearum and/or general biotic stress response and were expressed by both resistant genotypes. Long noncoding RNAs (lncRNAs) have emerged as potential key regulators of transcription. A total of 12,366 lncRNAs were identified, of which 604 were FHB responsive.
The current transcriptomic analysis revealed differential responses conferred by two QTL during F. graminearum infection and identified genes and lncRNAs that were associated with FHB resistance.
KeywordsHordeum vulgare Barley Fusarium head blight Fusarium graminearum QTL RNA-Seq
Fusarium head blight (FHB) of small grains is caused by fungal pathogens of Fusarium species, primarily Fusarium graminearum. FHB is widespread in wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) production areas globally and has caused significant economic losses due to reduced yield and grain quality [1, 2]. F. graminearum infects spikes and the resulting infected grains are often contaminated with trichothecene mycotoxins (such as deoxynivalenol, DON) and create adverse health issues for animal and human consumption . Practices to manage FHB include deploying resistant varieties, crop rotation and fungicide application. Developing a thorough understanding of the defense response and genetic mechanisms conferring resistance to F. graminearum infection may result in more precise genetic manipulation and control of the disease.
Fusarium species infect barley after anthesis  and colonize the brush hairs (ovary epithelial hairs) at the extruded seed tip, followed by invasion into the developing caryopsis . In contrast, Fusarium species infect wheat spikes during anthesis with colonization of floret surfaces first and followed by penetration of floral tissues and spread within the spike, ultimately resulting in bleaching of the whole spike [6–8]. Wheat exhibits two primary forms of partial resistance to FHB which are termed type I (resistance to initial infection) and type II (resistance to spread of infection) resistance . In barley, disease symptoms do not spread in the spike, even in susceptible cultivars, indicating that barley exhibits a natural level type II resistance . During the infection process, F. graminearum grows intercellularly and asymptomatically at the advancing hyphal front and later grows intracellularly and induces host cell death [10–12]. Virulence of F. graminearum on host cells is associated with the expression of genes encoding plant cell wall degradation enzymes (CWDEs), proteases, lipases and enzymes for trichothecene biosynthesis [13–15].
A number of studies have examined the host response in wheat and barley to F. graminearum infection or DON application via profiling the host transcriptome and identified host genes providing basal plant-pathogen resistance and genes responding specifically to trichothecene accumulation [16–22]. In general, host plants respond to pathogen attack with two forms of defense mechanisms. Conserved pathogen-associated molecular patterns (PAMPs, such as flagellin or chitin) or damage-associated molecular patterns (DAMPs, such as oligogalacturonides or peptides) are perceived by plant pattern recognition receptors (PRRs) and result in PAMP-triggered immunity (PTI). To counteract PTI, adapted pathogens deliver effector proteins to enhance virulence which can be recognized by intracellular resistance proteins (R proteins) and initiate effector-triggered immunity (ETI) [23, 24]. Downstream events of PTI and ETI include calcium ion influx, generation of reactive oxygen species (ROS), signaling through kinase cascades, hormonal changes, transcriptional reprogramming, cell wall appositions and hypersensitive response. In addition to general defense strategies, barley genes that specifically respond to trichothecenes have been identified. It has been shown that a DON-inducible uridine diphosphate glucosyltransferase gene (HvUGT13248, MLOC_65675) can convert DON to less toxic DON-3-O-glucoside (D3G) in yeast . Transgenic Arabidopsis and wheat expressing HvUGT13248 exhibited increased resistance to DON [26, 27]. In addition, ABC transporters and glutathione-S-transferases (GSTs) have been implicated in DON tolerance [16, 28]. Recently, long noncoding RNAs (lncRNAs) have been shown to act as potential regulators of transcriptional response to pathogen infection. A study identified F. oxysporum responsive lncRNAs in Arabidopsis thaliana and suggested that lncRNAs were important components of the antifungal network .
In barley, resistance to FHB is partial and conditioned by quantitative trait loci (QTL). Two major QTL were identified on chromosome 2H bin8 (2Hb8) and 6H bin7 (6Hb7) in the six-rowed cultivar Chevron [30–32]. The resistance allele at the 2Hb8 QTL was associated with late heading date and a fine mapping study showed that heading date and FHB resistance were controlled by tightly linked loci . FHB resistance at the 6Hb7 QTL was associated with high grain protein content and it is not known if this is due to linkage or pleiotropy . Although numerous QTL have been identified, the understanding of the genetic mechanisms that these QTL contribute to resistance is limited. To determine the responses associated with FHB resistance conferred by the 2Hb8 and 6Hb7 QTL, we performed transcriptomic profiling using RNA-Seq on two R NILs and their susceptible recurrent parents M69 and Lacey, respectively. The objectives of this study were to (1) develop an atlas of gene expression in barley during F. graminearum infection; (2) identify transcriptional differences between the resistant and susceptible alleles at both QTL and discover potential defense mechanisms to FHB; and (3) identify and characterize lncRNAs during barley-Fusarium interaction. Our results provide the foundation for examining the mechanisms of FHB resistance conferred by two resistant QTL.
Genetic and phenotypic characterization of the chromosome 2H bin8 and 6H bin7 FHB QTL NILs
Two FHB resistant alleles derived from Chevron, 2Hb8 and 6Hb7, were introgressed via backcrossing into the susceptible genotypes M69 (a breeding line) and Lacey (a cultivar), respectively. To map the introgressed regions, the plants carrying the resistant allele at 2Hb8 and 6Hb7 and the susceptible recurrent parents were genotyped with the barley 9 K iSelect SNP array  and the results revealed that 94.2 and 93.9 % of the recurrent parent genome was recovered in the 2Hb8 resistant (R) NIL and 6Hb7 R NIL, respectively. Based on the iSelect consensus genetic map , the Chevron alleles were introgressed in the expected QTL regions (Additional file 1: Figure S1). The 2Hb8 QTL ranges from 43.27 cM (marker SCRI_RS_140819) to 69.55 cM (marker SCRI_RS_237688) on chromosome 2H, while the 6Hb7 QTL ranges from 38.12 cM (marker BOPA1_885-104) to 60.71 cM (marker SCRI_RS_206797) on chromosome 6H.
To examine the defense response and to gain an increased understanding of the genetic basis of FHB resistance in barley, RNA-Seq was performed to measure the transcriptome changes on three biological replications of the two NILs and their respective recurrent parents after F. graminearum or mock inoculation at 48 and 96 h after inoculation (hai). The experimental procedure and analysis pipeline are shown in Additional file 1: Figure S3. The accumulation of DON and ergosterol were analyzed for all samples used for sequencing (Additional file 3: Table S2). No DON or ergosterol was detected in any of the genotypes at 48 hai after mock or fungal inoculation. At 96 hai, the 2Hb8 R NIL accumulated less DON and ergosterol than M69 although the difference was not significant. Jia et al.  analyzed the 2Hb8 R NIL and M69 and observed significant difference in DON content at 96 hai. The 6Hb7 R NIL and Lacey samples had similar amounts of DON and ergosterol.
Number of differentially expressed genes (DEGs) identified by all pairwise comparisons
RNA-Seq datasets comparison
number of DEGs
R NIL Fusarium inoculated – R NIL mock inoculated (R_F/M)
M69 Fusarium inoculated – M69 mock inoculated (M69_F/M)
R NIL Fusarium inoculated – M69 Fusarium inoculated (R/M69_F)
R NIL mock inoculated – M69 mock inoculated (R/M69_M)
R NIL Fusarium inoculated – R NIL mock inoculated (R_F/M)
Lacey Fusarium inoculated – Lacey mock inoculated (Lacey_F/M)
R NIL Fusarium inoculated – Lacey Fusarium inoculated (R/Lacey_F)
R NIL mock inoculated – Lacey mock inoculated (R/Lacey_M)
Barley host response to F. graminearum infection
To gain a further understanding of the barley host response to Fusarium infection, the transcriptomic changes of the susceptible parent M69 after F. graminearum and mock inoculation were analyzed. Compared to mock inoculation, there were 46 and 1283 genes up-regulated and 167 and 354 genes down-regulated at 48 and 96 h after F. graminearum inoculation, respectively. These results demonstrate a dramatic increase in DEGs between 48 and 96 hai. For ease of interpretation, all the DEGs were categorized into broad functional classes based on their annotations which included abiotic stress (such as heat shock proteins), biotic stress (such as pathogenesis-related proteins), cell wall (such as cellulose synthases, chitinases and pectinesterase inhibitors), hormone, metabolism (primary and secondary), miscellaneous (proteins related to cell cycle, chromatin, retrotransposon, nodulin, scaffolding and protein-protein interaction), proteolysis (proteases, protease inhibitors and ubiquitination), disease resistance (R) genes and receptor-like kinases (RLKs), redox proteins (such as peroxidases and glutaredoxins), regulatory proteins (transcription factors), signal transduction (kinases and phosphatases), transport and trafficking, and unknown. (Fig. 2b, Additional file 5: Table S4).
An overrepresentation analysis using agriGO  was performed to identify enriched Gene Ontology (GO) terms associated with the barley-F. graminearum interaction in M69 (Fig. 2c and Additional file 7: Table S6). At 48 hai no enriched GO terms were identified for the up-regulated DEGs whereas two terms, O-glycosyl hydrolase activity (GO:0004553) and enzyme inhibitor activity (GO:0004857), were enriched in the down-regulated DEGs. The O-glycosyl hydrolase term includes gene products involved in carbohydrate metabolism, such as endoglucanases, glucosidases, invertases and galactosidases. The term enzyme inhibitor activity comprises endopeptidase inhibitors and pectin methylesterase inhibitors (PMEIs). At 96 hai nine functional groups were enriched in up-regulated DEGs, including kinases (GO:0004672), oxidoreductases (GO:0016491, such as laccases, 12-oxo-phytodienoic acid reductase (OPR) and aminocyclopropanecarboxylate (ACC) oxidase), storage proteins (GO:0045735, such as germin-like proteins), phenylalanine ammonia-lyases (GO:0016841, the first enzyme in phenylpropanoid pathway), serine-type endopeptidase inhibitors (GO:0004867, such as Bowman-Birk type trypsin inhibitors), transporters (GO:0005215), peroxidases (GO:0004601), chitinases (GO:0004568) and glycosyltransferases (GO:0016757). In contrast, four types of genes were enriched in down-regulated DEGs, including enzyme inhibitors (GO:0004857), glycosyltransferases (GO:0016757), peptidases (GO:0008233) and phosphorelay signal transduction system (GO:0000160, cytokinin signaling). MapMan analysis was performed to visualize DEGs involved in diverse metabolic pathways  (Additional file 1: Figure S7). These results suggested that at 96 hai there were up-regulation of pathways involved in amino acid and lipid metabolism, glutathione homeostasis, secondary metabolism and cell wall reinforcement. Pectin enzymes and lipid transfer proteins (LTPs) exhibited continuous down-regulation at both time points. Functional classification and GO enrichment analysis of Fusarium responsive DEGs in Lacey revealed similar results as those in M69 (Additional file 1: Figure S8 and Additional file 8: Table S7).
Constitutive and induced defense response in the 2Hb8 R NIL to F. graminearum infection
Given the observed constitutive and induced elevation of defense responses in the R NIL and late, overlapping defense responses in M69, we hypothesized that the expression of candidate gene(s) for the 2Hb8 QTL might mirror the transcriptomic profiles of the R NIL and meet the following conditions: (1) they are located in the QTL region; and (2) they were expressed higher in the R NIL versus the susceptible parent after mock inoculation at 48 and/or 96 hai and/or after F. graminearum inoculation at 48 hai. We examined the expression profiles of nineteen genes that met these criteria (Fig. 4b and Additional file 12: Table S11). Three cysteine-rich receptor-like kinases (CRKs) appeared to be promising candidates (see discussion).
Earlier induction of defense response mediated by 6Hb7 QTL
The expression profile of DEGs in the 6Hb7 R NIL at 48 hai clustered with those of all four genotypes at 96 hai, which indicated a quicker mobilization of defense response mediated by the Chevron allele at the 6Hb7 QTL (Fig. 2a). After Fusarium inoculation, a total of 100 genes were induced in the 6Hb7 R NIL at 48 h, of which 44 (44.0 %) were induced in Lacey at 96 hai (Additional file 13: Table S12). Comparisons of the resistant and susceptible genotypes at the 6Hb7 QTL after F. graminearum inoculation identified 102 and 15 transcripts with differential accumulation patterns at 48 hai and 96 hai, respectively. At 48 hai, transcripts with increased accumulation in the R NIL were involved in cell wall, biotic stress, proteolysis and transport (Additional file 1: Figure S9). Representative transcripts encoded defense-related proteins including HvUGT3248, PMEI, PR proteins, ACC synthase, GSTs, proteases, protease inhibitors and ABC transporters (Fig. 4c).
Transcripts accumulated higher in both R NILs and expression of HvUGT13248
A group of 34 transcripts exhibited increased accumulation in the R NILs when compared to the respective susceptible parents at 48 hai (Additional file 14: Table S13). These transcripts encode proteins such as HvUGT13248, PR proteins, ACC synthase, cytochrome P450s, GSTs and transporters. This suggested that these transcripts might be involved in basal defense to Fusarium infection, and were co-regulated by two QTL. The HvUGT13248 gene had increased accumulation in both 2Hb8 and 6Hb7 R NILs when compared to the respective susceptible parents at 48 hai. At 96 hai, expression of HvUGT13248 in the R NILs and recurrent parents were induced to comparable levels. Barley genotypes, even ones susceptible to FHB, exhibit natural type II resistance to F. graminearum by delaying or restricting the spread of the disease in the spike and this resistance may be partially associated with the ability of HvUGT13248 to convert DON to D3G . The higher accumulation of HvUGT13248 during the early stage of fungal infection (within 48 hai) in both R NILs may further enhance resistance to F. graminearum.
Identification of lncRNAs from barley spikes responsive to F. graminearum inoculation
Long noncoding RNAs (lncRNAs) have emerged as important regulators of transcription . Genome-wide identification of lncRNAs from plants has been reported recently [44–46]. Applying the informatics pipeline developed by Li et al. (2014), we identified 12,366 lncRNAs from the four barley genotypes inoculated with F. graminearum or water at 48 and 96 hai (Additional file 1: Figure S10A and Additional file 15: Table S14). The class codes of lncRNAs describing their relationship with the barley reference transcripts were summarized in Additional file 16: Table S15. The majority (94.9 %) of lncRNAs were intergenic lncRNAs (lincRNAs). Thirty-four were long noncoding natural antisense transcripts (lncNATs). A comparison of lncRNAs to the barley high confidence protein–coding transcripts revealed that lncRNAs have fewer exons and shorter transcript length than protein-coding RNAs (Additional file 1: Figure S10B and C). Differentially expressed lincRNAs (DELs) were identified applying the same criteria as in DEGs analysis. We identified 449 and 284 FHB responsive DELs in the 2Hb8 R NIL-M69 comparison and the 6Hb7 R NIL-Lacey comparison, respectively. After removing duplicates, a total of 604 lincRNAs were FHB responsive in all genotypes at 48 and/or 96 hai. The number of differentially accumulated lincRNAs was 611 in the 2Hb8 R NIL compared to M69 and was 254 in the 6Hb7 R NIL compared to Lacey. The number of up- and down-regulated lincRNAs in respective comparisons is listed in Additional file 17: Table S16 and the associated lncRNAs are listed in Additional file 18: Table S17.
Co-induction of lncRNAs and neighboring transcripts
Transcription of lncRNAs can regulate the expression of neighboring genes . By comparing the expression levels of lncNATs and their sense transcripts, we identified one lncNAT (XLOC_057704), which exhibited induction in the M69_F96/M96 comparison. Its sense transcript (MLOC_70487) which encoded a trichome birefringence-like (TBL) protein involved in cellulose biosynthesis  showed co-induction (1.8 fold, q = 7.4 × 10−4, verified by qPCR) (Fig. 5c and Additional file 6: Table S5). The lncNAT XLOC_057704 was transcribed from the 3’ end and overlapped with the last exon of its sense transcript. In addition, five lincRNAs exhibited co-induction with their nearby transcripts after fungal inoculation. These transcripts encoded two receptor-like kinases, an alpha/beta fold hydrolase, a late embryogenesis abundant protein and an unknown protein (DUF538) (Additional file 19: Table S18). One of the RLKs was a cysteine-rich receptor-like kinase (MLOC_60954), which was identified as a candidate gene for the 2Hb8 QTL. The lincRNA XLOC_050232 is located approximately 2 kb upstream of MLOC_60954 (Fig. 5d). Its expression was not detected in M69 after mock inoculation (48 and 96 hai) or F. graminearum inoculation at 48 hai but was induced after F. graminearum inoculation at 96 hai, which coincided with the induction of MLOC_60954 in M69. In the 2Hb8 R NIL, XLOC_050232 was constitutively expressed in mock or F. graminearum inoculated samples at both 48 and 96 hai which coincided with the constitutively higher accumulation of MLOC_60954 in the 2Hb8 R NIL compared with M69 (Fig. 5d).
Gene expression atlas of barley host responses to F. graminearum infection
In the present study we investigated the defense response of two barley NILs and their recurrent parents to F. graminearum infection. Previous transcriptomic analyses of barley-F. graminearum were conducted using the barley1 GeneChip technology and provided a framework for understanding the complex interaction of the pathosystem [16, 20, 21, 39]. Next-generation sequencing technology provides more sensitivity and versatility in querying the transcriptome changes than microarray technologies . In addition, the assembly of the barley genome allowed genome-wide transcriptional profiling using RNA-Seq technology. We identified 2083 FHB responsive genes in four barley genotypes of which 248 (53 %) and 225 (47 %) genes were also identified by Boddu et al.  and Boddu et al. , respectively, validating the reliability and reproducibility of our results. The high sensitivity of RNA-Seq permitted detection of more DEGs in certain categories. For example, 74 and 9 receptor-like kinase transcripts were identified by this study and Boddu et al. , respectively. In addition, transcripts involved in new functional groups were discovered, such as pectinesterase inhibitors, cuticular wax biosynthesis, small auxin up RNAs (SAURs), gibberellin biosynthesis and phosphorelay signal transduction. The significantly increased volume of data provided by RNA-Seq enabled us to conduct hierarchical clustering and enrichment analysis to better understand the host response to Fusarium infection and potential molecular mechanisms conferred by resistant RILs. LncRNAs have been shown to play important roles in regulating transcription. However, the identification and characterization of lncRNAs in barley-Fusarium interaction have not been reported. We identified lncRNAs from the barley RNA-Seq dataset and analyzed their differential expression patterns in response to Fusarium infection. Co-regulation of lncRNAs and mRNAs were also uncovered. Thus, our RNA-Seq results of barley- F. graminearum interaction provide a comprehensive gene expression atlas for gene and lncRNA discovery and further comparative studies of wheat-Fusarium interaction or other cereal-pathogen pathosystems.
Constitutive and induced defense response mediated by the 2Hb8 QTL
As the disease progressed to 96 h, a shift in the gene categories was observed in the transcripts with higher accumulation in the R NIL. PMEIs, LTPs, proteases and phosphorelay signal transduction pathway were enriched in the R NIL (Fig. 6). In contrast, these activities were repressed in M69 after F. graminearum infection at both 48 and 96 h (Fig. 2c and Additional file 1: Figure S7). Overexpression of PMEI has been shown to limit fungal disease in Arabidopsis and wheat [56, 57]. Pathogen attack can induce PME activity and lead to decreased pectin methylesterification, which facilitates pathogen invasion of plant cells . Our results suggested that F. graminearum might increase PME activity by repressing the expression of PMEI transcripts in M69, but in the R NIL the repression of PMEI transcripts may have been inhibited and cell wall pectin remained highly methylesterified, making the cell wall less susceptible to the effects of pectin degradation enzymes secreted by F. graminearum. Expression of genes encoding lipid transfer proteins can be induced by fungal pathogens. Biological roles of LTPs include antifungal activity, SAR signaling and cuticular lipid deposition . Overexpression of a wheat LTP5 gene increased resistance to Cochliobolus sativus and F. graminearum . An LTP gene is proposed as the candidate gene for the wheat FHB QTL Qfhs.ifa-5A . And an Arabidopsis LTP enhances resistance to a trichothecene toxin by increasing glutathione content . In the 2Hb8 R NIL compared to M69, after fungal infection the number of up-regulated LTP genes increased from 5 (48 hai) to 19 (96 hai), suggesting that they may contribute to the FHB resistance by inhibiting F. graminearum growth and/or reinforce the cuticle. During infection of host plants, Fusarium species secrete not only CWDEs, but also proteases to hydrolyze host proteins. Plants respond by producing their own proteases and protease inhibitors to inhibit fungal counterparts. Gottwald et al.  reported the enrichment of proteases and protease inhibitors in the transcriptome of the FHB resistant wheat cultivar after infection. We observed enrichment of proteases in the R NIL at 96 hai, including aspartyl proteases, subtilisin-like serine proteases and cysteine proteases. At 96 hai, the R NIL exhibited enrichment of genes involved in phosphorelay signal transduction pathway that was regulated by cytokinin. Eight genes functioning in cell cycle and division exhibited increased accumulation in the R NIL compared to M69 as well. One of the prominent roles of cytokinin is to control cell cycle and cell division. The up-regulation of the cytokinin pathway in the R NIL suggested that cell proliferation and kernel development were less disturbed in the R NIL than in M69, consistent with the reduced disease severity phenotype of the R NIL.
Identification of candidate genes for the 2Hb8 QTL
Previous studies have suggested that higher accumulation of defense-related transcripts and activation of immunity in the absence of pathogen challenge contributed to disease resistance in soybean and Arabidopsis [63, 64]. Similarly, the 2Hb8 R NIL exhibited elevated expression of defense-related genes upon mock treatment. Based on physical location and expression profiles, three CRKs were identified as candidate genes for the QTL with two of them exhibiting high homology (MLOC_17074, MLOC_21698 and MLOC_60954, Additional file 1: Figure S11). A previous microarray analysis of the 2Hb8 NIL  identified a CRK gene (probe set name: rbaal11f18_at, which matches MLOC_21698) that exhibited similar expression profile as in this study. CRKs, also known as DUF26 (Domain of Unknown Function 26) RLKs, belong to a subfamily of RLKs and are characterized by two copies of the C-X8-C-X2-C motif in their extracellular domain . Expression of CRKs can be induced by oxidative stress, SA and pathogen infection . Overexpression of Arabidopsis CRKs conferred enhanced resistance to Pseudomonas syringae . The CRK13 mediated resistance to P. syringae was dependent on SA accumulation, and transcriptomic analysis revealed significant overlap between CRK13 overexpression plants and wild-type plants treated with P. syringae. These results were concordant with our observations. The SA regulated barley homologs of NPR1 and DIR1 exhibited increased accumulation in the 2Hb8 R NIL compared to M69 at 48 h after fungal infection. Among the up-regulated genes in the R NIL versus M69 after mock treatment, 64.5 % (362 out of 561) were induced by F. graminearum infection in M69 at 96 hai. Given the function of Arabidopsis CRKs in disease resistance and our transcriptomic data, the three barley CRKs are promising candidates for the 2Hb8 QTL and merit further study.
More rapidly induced early-stage defense responses conferred by the 6Hb7 QTL
The 6Hb7 QTL confers a minor effect on FHB resistance when compared to the 2Hb8 QTL and its transcriptomic response to Fusarium infection has not been studied. Our results indicated that the 6Hb7 R NIL exhibited an earlier induction of a set of genes involved in FHB response (Fig. 2a and Additional file 13: Table S12), suggesting a sensitized state to F. graminearum infection conferred by the QTL. Compared with the 2Hb8 R NIL and M69, the transcriptomic changes between the resistant and susceptible genotypes at the 6Hb7 QTL after F. graminearum inoculation were limited and occurred mainly during the early-stage of infection (48 hai). Among the 66 genes with increased accumulation in the 6Hb7 R NIL compared to Lacey after F. graminearum infection at 48 h, many encoded proteins which are associated with resistance to DON or F. graminearum (Fig. 6 and Additional file 5: Table S4). Walter et al.  reported that a wheat ABC transporter contributes to mycotoxin tolerance. We identified 3 ABC transporters with higher accumulation in the R NIL. The expression of HvUGT13248 was higher in the 6Hb7 R NIL than in Lacey at 48 hai. However, we did not observe a reduced DON concentration in the 6Hb7 R NIL compared to Lacey at 96 hai (Additional file 3: Table S2). One possible explanation is that the inoculation method we used may overwhelm the resistance in the 6Hb7 R NIL. As a result, the two genotypes exhibited no difference in fungal biomass at 96 hai. We examined the 66 transcripts for candidate genes for the 6Hb7 QTL. Only one transcript was located within the QTL interval, which encoded a protein homologous to a maize F-box domain containing protein (MLOC_36388).
Identification of lncRNAs and co-regulation of lncRNAs and mRNAs in response to F. graminearum infection
Recent years have witnessed discoveries of thousands of long noncoding RNAs (lncRNAs) in plant genomes and a few lncRNAs have been shown to regulate vernalization, male sterility and photomorphogenesis [68–70]. In addition, expression of lncRNAs can be altered by abiotic and biotic conditions, suggesting a role of lncRNAs in responding to stress [45, 71]. Zhu et al.  identified 20 F. oxysporum responsive intergenic lncRNAs (lincRNAs) of which five may play a role in resistance. We mined our RNA-Seq data to identify 12,366 lncRNAs from F. graminearum or water inoculated barley spike samples. Hierarchical clustering analyses revealed similar clustering patterns between differentially expressed lincRNAs (DELs) and DEGs (Fig. 2a and Fig. 5a), indicating that the transcriptional changes of lincRNAs and mRNAs are highly coordinated in barley-F. graminearum interactions.
Correlations between significantly regulated lncRNAs and mRNAs have been shown in Arabidopsis after F. oxysporum infection. In our study, one lncNAT (XLOC_057704) and its sense transcript (MLOC_70487) and five lincRNAs and their neighboring transcripts exhibited co-induction regulation after fungal infection. The lncNAT XLOC_057704 and MLOC_70487 were both induced in M69 after fungal infection at 96 hai. The MLOC_70847 encoded a trichome birefringence-like (TBR-like [TBL]) protein which was required for cellulose biosynthesis. The tbr and tbl3 mutants had decreased cellulose and altered pectin composition . Cellulose is important for cell wall apposition against pathogen attack and we observed enrichment of cellulose activity in the 2Hb8 R NIL compared to M69 at 48 hai. Thus, the induction of MLOC_70847 may have a role in disease resistance. It is unclear whether XLOC_057704 up-regulation has a causal relationship with the induction of MLOC_70847. Among the five lincRNAs and their proximal protein-coding transcripts that exhibited co-induction after fungal infection, one lincRNA (XLOC_050232) was located about 2 kb upstream of a CRK (MLOC_60954, a candidate gene for 2Hb8 QTL) gene on the same strand. The lincRNA/mRNA pair was transcribed in a divergent fashion. However, whether or how XLOC_050232 affected the transcription of the CRK is unknown and requires further research.
The current RNA-Seq analyses of two barley NILs carrying resistant FHB QTL alleles revealed the molecular mechanisms of FHB resistance. The 2Hb8 QTL confers elevated defense response in the absence of F. graminearum infection, which enables the resistant NIL to mount an earlier and augmented defense response within 48 h of fungal infection. The transcript levels of the components involved in effector-triggered immunity and pattern-triggered immunity, as well as genes targeting F. graminearum virulence factors, such as DON, cell wall degrading enzymes and proteases, accumulated higher in the 2Hb8 resistant NIL when compared to M69. Based on expression profiles and function of homologous genes, three cysteine-rich RLK were identified as candidate genes for the 2Hb8 QTL. The 6Hb7 QTL mediates an earlier induction of defense genes within 48 h after fungal infection. These genes were involved in DON detoxification and cell wall fortification. In addition to mRNA profiling, lncRNAs were identified from barley spike samples and their differential expression in response to F. graminearum infection were characterized. Co-regulation of lncRNAs and neighboring mRNA suggests that their expression is highly coordinated in response to F. graminearum infection.
Plant materials, genotyping and FHB field trials
The 2Hb8 R NIL was developed by Nduulu et al.  through five backcrosses of a resistant F4:7 progeny from the Chevron/M69 mapping population carrying the Chevron haplotype for the 2Hb8 QTL region with the susceptible parent M69. The 6Hb7 R NIL was generated by backcrossing four times the Chevron allele at the 6Hb7 QTL region to a susceptible genotype Lacey . M69 and Lacey are six-rowed spring barleys that were developed by the University of Minnesota barley breeding program. Leaf tissue from 2-week old seedlings was collected and genomic DNA of each genotype was extracted using the CTAB method. DNA samples were genotyped with the barley iSelect SNP array at the USDA-ARS in Fargo ND. Results of SNP analyses were visualized using the Spotfire software (TIBCO, Boston, MA).
Field trials of the genotypes were conducted in an FHB nursery at Saint Paul, MN in 2013 and 2014 following the methods of Nduulu et al. . Seeds were planted in single rows 5–6’ long using a randomized complete block design with 5 replications. Plants were spray inoculated with a mixture of 39 local F. graminearum isolates twice (1 × 105 spores/mL, 0.02 % Tween 20). The first inoculation was applied 2–3 days after heading and the second 3 days later. A mist irrigation system was applied to promote disease development. Plants were scored for FHB severity 2 weeks after the first inoculation by randomly selecting ten spikes per row and estimating the percentage of infected kernels within each spike. The difference in disease severity between the resistant and susceptible genotypes was tested by a Student’s t test. To determine the time course of DON accumulation in spikes, four or five spikes per row were randomly sampled, pooled and frozen to − 80 °C on the 8th, 12th, 16th, 20th and 24th day after the first inoculation. The pooled spikes per genotype/time point/replication were ground in liquid nitrogen to a fine powder and one gram of the powder was analyzed for DON and ergosterol content using gas chromatography–mass spectrometry . The DON and ergosterol content were not analyzed for the 6Hb7 R NIL and Lacey (year 2013) due to insufficient number of samples.
Growth chamber inoculation, sample collection and RNA sequencing
For the RNA-Seq experiments, a randomized complete block design with three biological replications was used. Four seeds of each genotype were planted in 5-inch pots filled with Sunshine MVP mix and plants were grown in a growth chamber (16 h light/8 h dark, 20 °C day/18 °C night). Inoculation was applied on barley spikes 2–3 days after their complete emergence from the boot. The spikes from the main culm of each plant were spray-inoculated with F. graminearum (strain PH-1) conidia suspension (1 × 105 spores/mL, 0.02 % triton X-100) using an airbrush applicator (Paasche, Chicago, IL). For mock inoculation, conidia suspension was replaced with sterile water. Each side of the spike was sprayed twice from top to bottom and then covered in clear plastic bags which were removed at the time of sampling (48 and 96 hai). Four inoculated spikes per genotype/time point/treatment/replication were sampled, pooled and flash frozen in liquid nitrogen. A total of 48 samples were collected (four genotypes x two treatments x two time points x three biological replications). Total RNA was extracted from each sample using RNeasy Plant Mini Kit and on-column DNase digestion was performed to remove genomic DNA (QIAGEN, Valencia, CA). Sample QC, library creation and RNA sequencing (HiSeq 2000 platform, paired-end, 100 cycles) were performed at the University of Minnesota Genomics Center.
RNA-Seq data analysis
The barley genome sequence data were retrieved from the barley FTP download page (ftp://ftpmips.helmholtz-muenchen.de/plants/barley/public_data/). All RNA-seq reads from each sample were trimmed by sequencing quality and mapped to barley reference genome using the spliced read aligner TopHat . The parameters “-a 5 -m 1 -i 40 -g 1 --segment-mismatches 1 --microexon-search --coverage-search” as well as the high-quality gene annotation of barley reference genome as a guide were employed during the read mapping. Uniquely mapped reads were extracted to profile gene expression level (FPKM - normalized read number per gene) in each sample using cufflinks . Differentially expressed genes (DEGs) or long noncoding RNAs were identified using Cuffdiff from the Cufflinks tool package with the reference genome high-confidence gene annotation. DEGs were represented by both quantitatively- and qualitatively-expressed genes. Quantitatively-expressed transcripts were defined as transcripts with a fold change in expression level greater than 2.0 and a false discovery rate (FDR) less than 0.05. Qualitatively expressed transcripts (presence or absence) were defined as those exhibiting an FPKM value greater than 10.0 versus a value of 0 in either F. graminearum or mock treatment. Correlation coefficients (r) of biological replicates were calculated and two replicates (6Hb7_R_M48_REP3 and 6Hb7_R_F96_REP2) were removed from further analysis due to low r values (Additional file 4: Table S3 and Additional file 1: Figure S5).
Gene expression analysis
Barley high-confidence gene annotation files were downloaded from the barley FTP site. High-confidence genes without GO annotations were subjected to Blast2GO analysis . GO terms were subject to singular enrichment analysis within agriGO . Hierarchical Clustering of DEGs were performed using Cluster 3.0  and visualized using Java Treeview . Heat maps of DEGs were generated using Plotly (Montreal, Quebec). Visualization of metabolism-related DEGs were done using MapMan . The experiment and mapping files were generated according to the manual. Venn diagrams were generated using Venny 2.0 .
Quantitative RT-PCR validation
Total RNA were extracted from the same spike samples used for RNA-Seq using RNeasy Plant Mini Kit and DNase digestion (QIAGEN, Valencia, CA). RNA quality was assessed on a NanoDrop spectrophotometer (Thermo Scientific, Wilmington, DE) to ensure that all samples had A260/A280 and A260/A230 ratios greater than 2.0. First strand complementary DNA (cDNA) was synthesized from 0.5-1 μg total RNA using the ImProm-II reverse transcription system (Promega, Madison, WI). A set of transcripts with diverse roles in defense response were selected for qRT-PCR analysis. Gene-specific primers were designed to amplify 80–150 bp fragments that span exon-exon junctions or near the 3’ UTR region of the target gene. Q-PCR was performed using iTaq universal SYBR green supermix (Bio-Rad, Hercules, CA) on a StepOnePlus real time PCR system (Applied Biosystems, Carlsbad, CA) with the following protocol: 95 °C for 20 s, 40 cycles of 95 °C for 3 s and 60 °C for 30 s followed by a melt curve analysis. All reactions were run in triplicate and a barley tubulin gene (MLOC_60297) was used as an internal control. Results of qPCR reactions were analyzed using the comparative CT method (ΔΔCT)  and the mock-treated recurrent parent was used as the calibrator. The genes selected for validation, time point, primer sequences and qPCR results were listed in Additional file 6: Table S5.
Availability of supporting data
The RNA sequencing data were submitted to the NCBI database (BioProject ID PRJNA294716). The other supporting data were included as additional files.
We acknowledge Dr. Shiaoman Chao (USDA-ARS Cereal Crops Research unit) for genotyping the four genotypes with the barley iSelect SNP arrays, Dr. Yanhong Dong for the deoxynivalenol and ergosterol analyses of RNA-Seq and field samples, Dr. María Muñoz-Amatriaín for assisting with the Spotfire software, Dr. Ruth Dill-Macky for providing inoculum for field trials, and Dr. H. Corby Kistler and Xin Li for providing the PH-1 strain for inoculating RNA-Seq samples. Edward L. Shiefelbein, Guillermo Velasquez and Karen Beaubien are thanked for technical help with the St. Paul, MN FHB nursery trials. The project was supported by funding from U.S. Wheat and Barley Scab Initiative to G.J.M.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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