Abstract
Lily basal rot, caused by Fusarium oxysporum f. sp. lilii, is one of the most serious diseases of lily. Although the lily germplasm which is resistant to F. oxysporum has been used in disease-resistant breeding, few studies on its molecular mechanism of disease resistance have been reported. To comprehensively study the mechanism of resistance to F. oxysporum, transcriptome sequencings of root tissues from Lilium pumilum inoculated with F. oxysporum or sterile water for 6, 12, or 24 h were performed. A total of 50 GB of data were obtained from the transcriptome sequencings of the 6 L. pumilum samples, and 217 098 Unigenes were obtained after the de novo assembly, of which 38.36% Unigenes were annotated. The sequencing results showed that the numbers of differentially expressed genes at 6, 12, and 24 h after inoculation compared with the control were 111, 254, and 2500, respectively. The functional enrichment analysis of the differentially expressed genes showed that several pathways were involved in responses of L. pumilum, mainly including starch and sucrose metabolism, glycolysis/gluconeogenesis, phenylpropanoid biosynthesis, plant hormone signal transduction, flavonoid biosynthesis, vitamin B6 (VB6) biosynthesis, acid biosynthesis, proteasome, and ribosome. Transcription factor analysis revealed that the WRKY and ERF families played important roles in responses of L. pumilum to F. oxysporum. The results of this study elucidate the molecular responses to F. oxysporum in lily and lay a theoretical foundation for improving lily breeding and strategies for lily basal rot resistance.
Keywords: Lilium pumilum, Fusarium oxysporum, transcriptome sequencing
Introduction
Lily is a perennial bulbous flower in the monocotyledon subclass, Liliaceae family and Lilium genus, with an extremely high ornamental value. China is a large producer of lily cut flowers. As the planting of lily continues and the planting area of lily expands, lily diseases are becoming more serious. Lily basal rot (also known as root rot or stem rot) has become one of the most important diseases endangering lily. It is a soil-borne disease that mainly harms the underground part of the plant, resulting in wilting, yellowing, and rotting of the bulbs. This disease seriously affecting the yield and quality of lily and resulting in huge economic losses.1 Fusarium oxysporum f. sp. lilii is the main pathogen that causes lily basal rot.2 F. oxysporum can survive for a long time as mycelium in the bulbs or as mycelium, chlamydospore, or sclerotium with diseased residue in the soil. At present, chemical control methods are the main measures to prevent and control lily basal rot. However, due to the soil-borne nature and the development of pathogenic resistance of this disease, chemical control methods have shown dwindling effects.3 At the same time, long-term, large-scale, and repeated use of chemical pesticides causes environmental pollution. Therefore, selective breeding of resistant varieties is the preferred choice to control lily basal rot.
The germplasm resources of Lilium species highly resistant to F. oxysporum have an important role in cultivating lily varieties against this disease. To date, no wild Lilium species or cultivars showing complete resistance to lily basal rot have been found, but several wild Lilium species and cultivars are highly resistant to it.4 Among lily cultivars, Asian lily hybrid is highly resistant and Oriental lily is the least resistant.4 The lily germplasm resources in China are abundant. Some wild species with strong disease resistance, such as Lilium henryi, Lilium pumilum, and Lilium regale, have been widely used in disease resistance breeding.4
Although the germplasm resources of Lilium species resistant to F. oxysporum have been used in disease-resistant breeding, the molecular mechanism of disease resistance is rarely reported. In 2013, a cDNA library of the root of F. oxysporum–infested Lilium regale was constructed by suppression subtractive hybridization and 180 sequences homologous to known proteins in the model plant by sequencing analysis, most of which belonged to pathogenesis-related (PR) 3, PR10, glutathione S-transferase, cytochrome P450, antioxidant enzymes, and peroxidases, were obtained.5 In 2012, Lilium leichtlinii var. maximowiczii Baker was used to construct suppression subtractive hybridization library of lily after induced by F. oxysporum. They identified 6 types of disease-resistant expressed sequence tags (ESTs), including serine/threonine protein kinase, glutathione S-transferase, peroxidase, and cyclophilin homologs.6 The above 2 studies identified some genes of lily in response to F. oxysporum infection, but the mechanism of this resistance has not been investigated in depth. Some studies have used the molecular marker system to construct the genetic map of Asian lily backcross populations. To date, a total of 10 potential quantitative trait loci (QTLs) for F. oxysporum resistance have been mapped.7,8 However, none of these studies identified the specific genes involved in F. oxysporum resistance. Therefore, the molecular mechanism of resistance to F. oxysporum in lily needs to be further studied.
In this study, L. pumilum that was highly resistant to F. oxysporum was used as the experimental material. High-throughput transcriptome sequencing technology combined with bioinformatics method was applied to identify genes related to F. oxysporum resistance in L. pumilum, understand the function of these genes, and fully integrate the regulatory network, thereby clarifying the molecular mechanism of lily resistance-associated genes in response to pathogen invasion. Our findings will lay a theoretical foundation for the cloning of disease-resistance-associated genes and for disease-resistance breeding.
Materials and Methods
The tissue culture seedlings of wild L. pumilum with the same genetic background were used in the experiment. The pathogen F. oxysporum was isolated from the plants with the symptom of lily basal rot in the Greenhouse of Beijing University of Agriculture. L. pumilum and F. oxysporum were stored in the Lily Breeding Laboratory, College of Landscape Architecture, Beijing University of Agriculture.
F. oxysporum was inoculated on potato dextrose agar (PDA) medium and cultured at 27°C for 7 days. The spores were washed with sterile water and adjusted to 1 × 106 spores/mL for the subsequent inoculation. The tissue culture seedlings of L. pumilum grew at 25°C under a 16/8 h light/dark period. The tissue culture seedlings of L. pumilum with a bulb diameter 1 to 1.5 cm and strong root tissue were selected for F. oxysporum inoculation. For each treatment, 3 bottles with 3 plant tissue culture seedlings in each bottle were used for inoculation, and each seedling was inoculated with 600 µL of spore suspension. L. pumilum tissue culture seedlings were inoculated with sterile water at the same time as the control group. The roots of the tissue culture seedlings in the treatment group and the control group were collected at 6, 12, or 24 h after inoculation and immediately frozen in liquid nitrogen. The samples were stored at −80°C for later use. The 3 time-point samples for F. oxysporum inoculation were named F6h, F12h, and F24h, respectively, and the corresponding samples for the control group were named M6h, M12h, and M24h.
The total RNA of the samples was extracted using the RNAprep Pure Plant Kit (TIANGEN Ltd; Beijing, China). After the obtained sample was tested, the eukaryotic mRNA was enriched using magnetic beads with Oligo (dT). Subsequently, fragmentation buffer was added to break the mRNA into short fragments. The mRNA was used as the template to synthesize a single strand of cDNA, followed by the addition of buffer, dNTPs, DNA polymerase I, and RNase H to synthesize the double-stranded cDNA, which was purified with AMPure XP beads. The purified double-stranded cDNA was first subjected to end repair by adding poly-A tails and linking to the sequencing adaptor, and then AMPure XP beads were used for the selection based on fragment size. Finally, polymerase chain reaction (PCR) amplification was performed, and the PCR product was purified with AMPure XP beads to obtain the final library. After the library was constructed, Qubit 2.0 was used for the preliminary quantification, and the library was diluted to 1.5 ng/µL. The insert size of the library was detected using an Agilent 2100 Bioanalyzer. When the expected insert size was detected, the effective concentration of the library was accurately quantified (effective concentration of the library >2 nM) to ensure the quality of the library.
The constructed cDNA library was sequenced by Illumina HiSeq 2500 sequencing platform (Illumina, Inc, San Diego, CA, USA) from Novogene. The raw reads from sequencing were filtered. Clean reads were collected after removing reads with the adaptor and those of low quality. The clean reads were spliced by Trinity.9 The resulting transcript sequence was used as a reference for the subsequent analysis. The longest transcript in each gene was used as a Unigene. Functional annotation was carried out for the obtained Unigenes with 7 major databases: National Center for Biotechnology Information (NCBI), non-redundant protein (Nr), NCBI nucleotide sequences (Nt), Protein family (Pfam), euKaryotic Ortholog Groups (KOG), Swiss-Prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO).
Using Bowtie2 software, the clean reads were aligned to the assembled Unigene library, and the results were statistically analyzed using RNA-Seq by Expectation Maximization (RSEM) software to further obtain the number of read counts for each gene sample corresponding to each gene.10,11 The expression of the Unigene was calculated using the fragments per kb per million fragments (FPKM) method.12 The read-count data were first standardized using trimmed mean of M values (TMM), followed by the differential analysis using DEGSeq, with the screening threshold q < 0.005 and |log2FoldChange| > 1.13 The obtained differentially expressed genes were subjected to GO functional enrichment analysis and KEGG pathway analysis.
Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis was used to analyze the expression of genes responsive to F. oxysporum identified by RNA-seq. Total RNA of roots of the tissue culture seedlings were extracted according to the above methods. Total RNA was used for synthesizing reverse transcripts using the PrimeScript RT reagent Kit (TaKaRa, Dalian, China) according to the manufacturer’s instructions. cDNA was amplified using the following primer pairs: UTP-glucose-1-phosphate uridylyltransferase, 5P (5′-AAAGGTTTCGGGTGGTTGTG-3′) and 3P (5′-TCCGACGACGGATACAACTG-3′); alpha-1,4 glucan phosphorylase, 5P (5′-CTCCGGCGTAGAAGGTATCG-3′) and 3P (5′-CGAGGATCCAAGGCAAAGAC-3′); phosphoglucomutase, 5P (5′-CGTCAACGATCCCTTCATCA-3′) and 3P (5′-AGGGTTCCTGCATCCAAAGA-3′); NADP-dependent glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 5P (5′-CCCCTCCTCATCGACATAGC-3′) and 3P (5′-GCTCCTTTGTTCCCCAACAC-3′); and 18 rRNA, 5P (5′-GCCTGAGAAACGGCTACCAC-3′) and 3P (5′-ACCAGACTTGCCCTCCAATG-3′). Quantitative reverse transcription polymerase chain reaction was performed using SYBR Premix Ex Taq II (TaKaRa) under the following conditions: 40 cycles at 95°C for 15 s, 60°C for 30 s, and 72°C for 30 s. The qRT-PCR reactions were performed on the BIO-RAD iQ5 (Applied Biosystems, Foster City, CA, USA). Each sample was processed in triplicate, and the relative expression was calculated using 2−ΔΔCT.14 The 18S rRNA was used as references to normalize the expression level of genes.
Results and Discussion
High-throughput transcriptome sequencing technology is an effective means of studying the molecular mechanisms of the plant without whole-genome information. To date, transcriptome sequencing has been used in studies of genetic divergence,15 flavonoid biosynthesis,16 carbohydrate metabolism,17 cold response,18 and vernalization19 in lily. In this study, transcriptome sequencing was used to identify the genes of L. pumilum that were involved in responses to F. oxysporum infection. Transcriptomes of the root tissues of the L. pumilum at 6, 12, and 24 h after inoculation with F. oxysporum or sterile water (control) were sequenced. A total of more than 50 GB of raw reads were obtained in this study. After removing adaptors, low-quality reads, and contaminants, over 7 GB of clean reads were obtained from each sample (Supplementary Table 1). The raw data (Accession Number: SRA633315) used in the study can be obtained from the sequence read archive (SRA) database. A total of 217 098 Unigenes with the average length of 517 bp and the N50 of 664 bp were obtained after the de novo assembly of the obtained clean reads (Supplementary Table 2). The obtained Unigenes were aligned in 7 large databases, and 83 289 of the Unigenes were annotated in more than 1 database, accounting for 38.36% of the total Unigenes (Supplementary Table 3). The number of Unigenes with successful annotation was the highest in Nr, accounting for 23.06% of the total Unigenes, and lowest in KOG in the KOG database, only 7.89% of Unigenes annotated.
The analysis of differential gene expression at 6, 12, or 24 h after inoculation with F. oxysporum and sterile water was performed. There were 111 differentially expressed genes in F6h vs M6h, of which 61 were upregulated and 50 were downregulated. There were 254 differentially expressed genes in F12h vs M12h, of which 188 were upregulated and 66 were downregulated. There were 2500 differentially expressed genes in F24h vs M24h, of which 2009 were upregulated and 491 were downregulated (Figure 1).
Figure 1.
Volcano plot indicated upregulated and downregulated Unigenes after inoculation using F. oxysporum. L. pumilum was inoculated with F. oxysporum and sterile water, and cultured for (A) 6 h, (B) 12 h, and (C) 24 h.
The results of GO enrichment analysis of the differentially expressed genes showed that the differentially expressed genes of F6h vs M6h were enriched in the category of molecular function (MF) with only 1 subset annotated as catalytic activity. The differentially expressed genes of F12h vs M12h were enriched in the categories of MF and BP (biological process), including 19 subsets with distribution mainly in catalytic activity, single-organism metabolic process, oxidation-reduction process, oxidoreductase activity, carbohydrate metabolic process, and riboflavin metabolic process. The differentially expressed genes of F24h vs M24h were enriched in the categories of BP, CC (cellular component), and MF, including 196 subsets, which were mostly annotated in the BP categories of metabolic process, single-organism metabolic process, and biosynthetic process; the CC categories of macromolecular complex, cytoplasm, and non-membrane-bound organelle; and the MF categories of catalytic activity, oxidoreductase activity, and structural molecule activity (Figure 2).
Figure 2.
Gene Ontology classification of upregulated and downregulated Unigenes after inoculation using F. oxysporum. L. pumilum was inoculated with F. oxysporum and sterile water, and cultured for (A) 6 h, (B) 12 h, and (C) 24 h. BP indicates biological process; CC, cellular component; MF, molecular function.
The results of KEGG enrichment analysis of the differentially expressed genes showed that there were 7 KEGG pathways enriched among the differentially expressed genes of F6h vs M6h. The upregulated genes were significantly enriched in the metabolic pathway of flavonoid biosynthesis (Supplementary Table 4). There were 18 KEGG pathways enriched among the differentially expressed genes of F12h vs M12h. The upregulated genes were significantly enriched in 13 metabolic pathways, mainly including vitamin B6 (VB6) metabolism, flavonoid biosynthesis, phenylalanine metabolism, phenylpropanoid biosynthesis, plant hormone signal transduction, and tyrosine metabolism (Supplementary Table 4). There were 19 KEGG pathways enriched among the differentially expressed genes of F24h vs M24h. The upregulated genes were significantly enriched in 3 metabolic pathways, including biosynthesis of amino acids, proteasome, and ribosome (Supplementary Table 4).
Previous studies have shown that starch and sucrose metabolism changes when pathogens infect plants.20,21 Gómez-Ariza reported that defense-related genes were upregulated systemically in rice leaves after adding sucrose to the roots.22 Sucrose can promote the lupine defense responses against Fusarium.23 In this study, starch and sucrose metabolism was the pathway with the most upregulated genes at 12 h after inoculation, and a total of 9 genes were upregulated, including sucrose-phosphate synthase (c117443_g1); UTP-glucose-1-phosphate uridylyltransferase (c95325_g1); aglucan phosphorylase (c112961_g2); alpha-1,4 glucan phosphorylase (c121101_g1); 1,4-alpha-glucan branching enzyme (c108888_g1); phosphoglucomutase (c116359_g1); glucose-1-phosphate adenylyltransferase (c108264_g1 and c117572_g1); and fructokinase-2-like (c94420_g1) (Figure 3). The upregulation of these genes is conducive to transforming starch and glycogen into sucrose. At 24 h after inoculation, 9 genes in the starch and sucrose metabolism pathway were downregulated, including sucrose-phosphate synthase (c113968_g1), pectinesterase (c74217_g1), glucose-1-phosphate adenylyltransferase (c108264_g1, c117572_g1, and c115394_g1), granule-bound starch synthase 2 (c114915_g1), phosphoglucomutase (c116359_g1), alpha-amylase (c117598_g1), and beta-fructofuranosidase (c119079_g2) (Figure 3).
Figure 3.
A heatmap showing the expression profiles of resistance-associated genes. This graph presents the log base 2 of the change fold of gene expressions at 6, 12, and 24 h after inoculation using F. oxysporum. Each row corresponds to 1 gene, and each column corresponds to the 1 time point.
Glyceraldehyde-3-phosphate dehydrogenase, the key enzyme in the glycolysis/gluconeogenesis pathway, is a multifunctional enzyme that is involved in the regulation of reactive oxygen species (ROS), autophagy, and plant immune responses.24 The knockout of GAPDH in Arabidopsis enhances the resistance to the incompatible pathogen Pseudomonas syringae pv. Tomato.24 In the present study, 5 genes in the glycolysis/gluconeogenesis pathway were upregulated at 12 h after inoculation with F. oxysporum, including GAPDH (c103781_g1), NADP-dependent GAPDH (c105111_g1), phosphoglucomutase (c116359_g1), glucose-6-phosphate 1-epimerase (c111964_g1), and phosphoglycerate kinase (c109005_g2). The expression levels of these genes were increased by 2.5-fold and 4.9-fold. The expression level of GAPDH (c103781_g1) was 2.5 times the levels of the control, but there was no significant difference between the expression of these genes and the control at 24 h after inoculation (Figure 3).
In the present study, 6 genes in the phenylpropanoid biosynthesis pathway were highly expressed at 12 h after inoculation with F. oxysporum, including 4-coumarate-CoA ligase 2 (c115266_g1), caffeoyl-CoA O-methyltransferase (c105247_g1), cinnamyl-alcohol dehydrogenase (c119082_g1), and peroxidase (c118468_g3, c115650_g1, and c120335_g1). At 24 h after inoculation, the expression levels of 13 genes in this pathway were downregulated, including phenylalanine ammonia-lyase (c103771_g1), cinnamyl-alcohol dehydrogenase (c117898_g1, c118292_g2, and c119633_g1), peroxidase (c115552_g2, c101935_g1, c116520_g1, c101806_g1, c96040_g1, c116501_g1, c120735_g1, and c103286_g1), and cationic peroxidase 1 (c80387_g1) (Figure 3).
Flavonoids are involved in the resistance of wheat against F. graminearum25 and the resistance of Brassica napus against Xanthomonas campestris pv. Campestris.26 In the present study, the expression levels of 3 chalcone synthase genes (c113690_g1, c113916_g1, and c113916_g2) in the flavonoid biosynthesis pathway were upregulated at 6 and 12 h after inoculation with F. oxysporum. Caffeoyl-CoA O-methyltransferase (c105247_g1 and c105247_g2), which is involved in the synthesis of feruloyl-CoA, was upregulated at 12 h after inoculation (Figure 3). Caffeoyl-CoA O-methyltransferase is also involved in the phenylpropanoid pathway and lignin production, playing an important role in the resistance process of maize against Cochliobolus heterostrophus, Cercospora zeae-maydis, and Setosphaeria turcica.27
At 12 h after inoculation with F. oxysporum, some genes in the jasmonic acid (JA), abscisic acid (ABA), and auxin signaling pathways were induced. Jasmonic acid is an endogenous growth regulator in higher plants and a stress signal molecule that will accumulate rapidly when the plant tissues are attacked by pathogens or insects. The transcription factor MYC4 (c114016_g1 and c113516_g3) of the JA signaling pathway was upregulated in the present study. Abscisic acid can negatively regulate the disease resistance in plants by inhibiting salicylic acid (SA) signaling.28–30 In the present study, the expression of Protein phosphatase 2C 51 (c115633_g1), which negatively regulates ABA signaling, was significantly upregulated.31 GH3 in the auxin signaling pathway can positively regulate SA-mediated plant disease resistance.32,33 The gene of auxin-responsive GH3 gene family (c117107_g1) was significantly upregulated in this study (Figure 3).
Vitamin B6 participates in the resistance process of Arabidopsis thaliana against Pseudomonas syringae pv. Tomato DC3000 and Botrytis cinerea.34 Pyridoxal phosphate is the enzyme in the last step of the process of VB6 biosynthesis. In the present study, the expression levels of pyridoxal phosphate (c121490_g2, c121490_g1, and c108372_g2) at 12 h after inoculation with F. oxysporum were 14.9, 13, and 119.4 times those of the control, respectively (Figure 3).
Inoculation of pathogens can result in the accumulation of different amino acids in the host plant.35 The inoculation of pathogens in Arabidopsis can result in changes in the expression of some enzymes in the biosynthesis of amino acids.36,37 Homoserine is a precursor of threonine, isoleucine, and methionine. The mutation of downy mildew resistant (DMR1)–encoded homoserine kinase leads to the accumulation of homoserine. Mutations in dihydrodipicolinate synthase 2 (DHDPS2) and aspartate kinase 2 (AK2) genes can lead to the accumulation of the amino acids threonine, methionine, and isoleucine. Mutations in the DMR1, DHDPS2, and AK2 genes are reported to enhance resistance to Hyaloperonospora in Arabidopsis.38,39 In this study, a total of 69 synthase genes were upregulated in acid biosynthesis pathways at 24 h after inoculation with F. oxysporum. These enzymes are involved in the synthesis of multiple amino acids, including threonine, isoleucine, tryptophan, tyrosine, lysine, valine, leucine, phenylalanine, arginine, and proline (Figure 4).
Figure 4.
Upregulated genes in amino acids biosynthetic pathway at 24 h after inoculation using F. oxysporum.
The ubiquitin-26S proteasome system is an important post-translational protein regulation system in eukaryotes. It plays an important role in pathogen defense,40,41 abiotic stress tolerance,42 hormone signaling,43 morphogenesis,44 and chromatin modification45 in plants. In the present study, the expression levels of 24 subunits of the 26S proteasome in lily root were significantly increased to more than 32 times the levels of the control, and the expression levels of all 14 subunits of the 20S proteasome were significantly increased at 24 h after inoculation with F. oxysporum (Figure 5).
Figure 5.
Upregulated genes in proteasome biosynthetic pathway at 24 h after inoculation using F. oxysporum.
Ribosomal proteins can maintain the stability of the ribosomal complex and play an important role in the synthesis of proteins. Several ribosomal proteins are involved in the disease resistance of plants.46,47 In this study, 86 ribosome protein-coded genes were significantly upregulated 24 h after inoculation, including 37 genes coding for small-subunit proteins and 39 genes coding for large-subunit proteins. All 86 ribosome protein genes were upregulated by more than 32-fold, and most of the genes were upregulated by approximately 1000-fold (Figure 6).
Figure 6.
Upregulated genes in ribosome protein biosynthetic pathway at 24 h after inoculation using F. oxysporum.
Transcription factors can regulate target genes by binding to specific cis-regulatory elements in their promoters.48 The transcription factors of the WRKY, AP2/ERF, MYC, bZIP, and MYB families are involved in the regulation of defense gene expression when attacked by pathogens.49,50 MYC transcription factors are important regulators of JA-responsive genes, negatively regulating the expression of the defense genes in Arabidopsis.49,51 ERF is a transcription factor of the AP2/ERF subfamily and is involved in the defense responses of plants to pathogenic bacteria via the SA and Ethylene (ET)/JA-dependent signal transduction pathways.52,53 The transcription factors of the WRKY family are involved in the protection response of plants against various pathogens.54 In this study, 20 differentially expressed transcription factors at 3 time points were identified (Figure 3). The number of differentially expressed transcription factors was significantly increased at 24 h after inoculation, and all 12 transcription factors in the WRKY and ERF families had upregulated expression. At 6 h after inoculation, 2 transcription factors MYC4 (c113516_g3 and c114016_g1) were upregulated. The c113516_g3 was upregulated 97-fold at 6 h after inoculation, but no change in the gene expression was observed at 12 and 24 h after inoculation. At 24 h after inoculation, 7 ERF members were upregulated, including Ethylene-responsive transcription factor 1A (c118561_g1) by 24.3-fold. WRKY transcription factor 33 (c96521_g1) was upregulated by 2.7-fold and 12.1-fold at 12 h and 24 h after inoculation respectively. WRKY transcription factor 33 (c113118_g1) and WRKY transcription factors 2, 70, and 40 were upregulated by 3.7-fold and 8.6-fold at 24 h after inoculation (Figure 3). Therefore, we speculate that WRKY and ERF proteins play important roles in the resistance of L. pumilum to F. oxysporum. The role of MYC in the responses of L. pumilum to F. oxysporum needs to be further investigated.
To validate the results obtained by high-throughput sequencing, 4 genes were selected for further confirmation by qRT-PCR. Our results showed that the 4 genes including UTP-glucose-1-phosphate uridylyltransferase (c95325_g1), alpha-1,4 glucan phosphorylase (c121101_g1), phosphoglucomutase (c116359_g1), and NADP-dependent GAPDH (c105111_g1) showed significantly higher expression in 12 h after inoculation with F. oxysporum (Figure 7). Thus, our qRT-PCR results were consistent with those using Illumina sequencing method.
Figure 7.
Transcriptome sequencing differentially expressed genes data validation by quantitative reverse transcription PCR (qRT-PCR).
In this study, transcriptome sequencing was used to study resistance responses during early stages of L. pumilum infected by lily pathogen F. oxysporum. Biological pathways and transcription factors related to the responses of L. pumilum to F. oxysporum were identified using bioinformatics analysis. Our research greatly improves the current understanding of molecular mechanism in Lilium to resist F. oxysporum.
Supplementary Material
Acknowledgments
The authors thank Zhengping Liu for her assistance in the isolation of Lilium pathogen F. oxysporum.
Footnotes
Funding:The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Outstanding Talent Project of the Organizational Department of the Beijing Municipal Committee (2014000020124G079), the Beijing Municipal Education Commission (CEFF-PXM2017_014207_000043 and SQKM201810020009), and Building Project of Beijing Laboratory of Urban and Rural Ecological Environment (PXM2015-014207-000014).
Declaration of conflicting interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Author Contributions: XH, SX, and WW conceived and designed the experiments; WL, WZ, and XJ performed the experiments; XH and WL analyzed the data; and XH, SX, WW, AGS, and TA wrote the paper.
Supplemental Material: Supplemental material for this article is available online.
ORCID iD: Tessema Aynalem
https://orcid.org/0000-0003-1709-3234
References
- 1. Straathof TP, Jansen J, Loffler HJM. Determination of resistance to Fusarium oxysporum in Lilium. Phytopatho. 1993;83:568–572. [Google Scholar]
- 2. Straathof TP, Löffler HJM. Resistance to Fusarium oxysporum at different developmental stages of Asiatic hybrid lilies. J Am Soc Hort Sci. 1994;119:1068–1072. [Google Scholar]
- 3. Bollen GJ. Pathogenicity of fungi isolated from stems and bulbs of lilies and their sensitivity to benomyl. Neth J Plant Pathol. 1977;83:317–329. [Google Scholar]
- 4. Straathof TP, Tuyl JMV. Genetic variation in resistance to Fusarium oxysporum f.sp. lilii in the genus Lilium. Ann Appl Biol. 1994;125:61–72. [Google Scholar]
- 5. Rao J, Liu D, Zhang N, He H, Ge F, Chen C. Identification of genes differentially expressed in a resistant reaction to Fusarium oxysporum in Lilium regale by SSH. IERI Proc. 2013;5:95–101. [Google Scholar]
- 6. Ma L, Zhang Y, Ding K, et al. Resistance identification of lily germplasms to Fusarium oxysporum and screening of the resistance related genes. Acta Hortic Sin. 2012;6:1141–1150. [Google Scholar]
- 7. Shahin A, Arens P, Heusden AWV, et al. Genetic mapping in Lilium: mapping of major genes and quantitative trait loci for several ornamental traits and disease resistances. Plant Breeding. 2011;130:372–382. [Google Scholar]
- 8. Heusden AWV, Jongerius MC, Tuyl JMV, Straathof TP, Mes JJ. Molecular assisted breeding for disease resistance in lily. Acta Hortic. 2002;572:131–138. [Google Scholar]
- 9. Grabherr MG, Haas BJ, Yassour M, et al. Full-length transcriptome assembly from RNA-seq data without a reference genome. Nat Biotechnol. 2011;29:644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Li B, Dewey CN. RSEM: accurate transcript quantification from RNA-seq data with or without a reference genome. BMC Bioinformatics. 2011;12:323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B. Mapping and quantifying mammalian transcriptomes by RNA-seq. Nat Methods. 2008;5:621–628. [DOI] [PubMed] [Google Scholar]
- 13. Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Ann Stat. 2001;29:1165–1188. [Google Scholar]
- 14. Kenneth J, Livak TDS. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25:402–408. [DOI] [PubMed] [Google Scholar]
- 15. Shahin A, Smulders MJM, van Tuyl JM, Arens P, Bakker FT. Using multi-locus allelic sequence data to estimate genetic divergence among four Lilium (Liliaceae) cultivars. Front Plant Sci. 2014;5:567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Zhang MF, Jiang LM, Zhang DM, Jia GX. De novo transcriptome characterization of Lilium “Sorbonne” and key enzymes related to the flavonoid biosynthesis. Mol Genet Genomics. 2015;290:399–412. [DOI] [PubMed] [Google Scholar]
- 17. Li X, Wang C, Cheng J, et al. Transcriptome analysis of carbohydrate metabolism during bulblet formation and development in Lilium davidii var. unicolor. BMC Plant Biol. 2014;14:358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Wang J, Yang Y, Liu X, et al. Transcriptome profiling of the cold response and signaling pathways in Lilium lancifolium. BMC Genomics. 2014;15:203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Huang J, Liu X, Wang J, Lu Y. Transcriptomic analysis of Asiatic lily in the process of vernalization via RNA-seq. Mol Biol Rep. 2014;41:3839–3852. [DOI] [PubMed] [Google Scholar]
- 20. Gurkok T, Turktas M, Parmaksiz I, Unver T. Transcriptome profiling of alkaloid biosynthesis in elicitor induced opium poppy. Plant Mol Biol Rep. 2015;33:673–688. [Google Scholar]
- 21. Erayman M, Turktas M, Akdogan G, et al. Transcriptome analysis of wheat inoculated with Fusarium graminearum. Front Plant Sci. 2015;6:867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Gomez-Ariza J, Campo S, Rufat M, et al. Sucrose-mediated priming of plant defense responses and broad-spectrum disease resistance by overexpression of the maize pathogenesis-related PRms protein in rice plants. Mol Plant Microbe Interact. 2007;20:832–842. [DOI] [PubMed] [Google Scholar]
- 23. Morkunas I, Marczak L, Stachowiak J, Stobiecki M. Sucrose-induced lupine defense against Fusarium oxysporum: sucrose-stimulated accumulation of isoflavonoids as a defense response of lupine to Fusarium oxysporum. Plant Physiol Biochem. 2005;43:363–373. [DOI] [PubMed] [Google Scholar]
- 24. Henry E, Fung N, Liu J, Drakakaki G, Coaker G. Beyond glycolysis: GAPDHs are multi-functional enzymes involved in regulation of ROS, autophagy, and plant immune responses. PLoS Genet. 2015;11:e1005199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Gunnaiah R, Kushalappa AC, Duggavathi R, Fox S, Somers DJ. Integrated metabolo-proteomic approach to decipher the mechanisms by Which Wheat QTL (Fhb1) contributes to resistance against Fusarium graminearum. PLoS ONE. 2012;7:e40695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Islam MT, Lee BR, Park SH, La VH, Bae DW, Kim TH. Cultivar variation in hormonal balance is a significant determinant of disease susceptibility to Xanthomonas campestris pv. Campestris in Brassica napus. Front Plant Sci. 2017;8:2121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Yang Q, He Y, Kabahuma M, et al. A gene encoding maize caffeoyl-CoA O-methyltransferase confers quantitative resistance to multiple pathogens. Nat Genet. 2017;49:1364–1372. [DOI] [PubMed] [Google Scholar]
- 28. Cao FY, Yoshioka K, Desveaux D. The roles of ABA in plant-pathogen interactions. J Plant Res. 2011;124:489–499. [DOI] [PubMed] [Google Scholar]
- 29. Audenaert K, De Meyer GB, Hofte MM. Abscisic acid determines basal susceptibility of tomato to Botrytis cinerea and suppresses salicylic acid-dependent signaling mechanisms. Plant Physiol. 2002;128:491–501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Xu J, Audenaert K, Hofte M, De Vleesschauwer D. Abscisic acid promotes susceptibility to the rice leaf blight pathogen Xanthomonas oryzae pv oryzae by suppressing salicylic acid-mediated defenses. PLoS ONE. 2013;8:e67413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Allen GJ, Kuchitsu K, Chu SP, Murata Y, Schroeder JI. Arabidopsis abi1-1 and abi2-1 phosphatase mutations reduce abscisic acid-induced cytoplasmic calcium rises in guard cells. Plant Cell. 1999;11:1785–1798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zhang Z, Li Q, Li Z, et al. Dual regulation role of GH3.5 in salicylic acid and auxin signaling during Arabidopsis-Pseudomonas syringae interaction. Plant Physiol. 2007;145:450–464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Jagadeeswaran G, Raina S, Acharya BR, et al. Arabidopsis GH3-LIKE DEFENSE GENE 1 is required for accumulation of salicylic acid, activation of defense responses and resistance to Pseudomonas syringae. Plant J. 2007;51:234–246. [DOI] [PubMed] [Google Scholar]
- 34. Zhang Y, Jin X, Ouyang Z, et al. Vitamin B6 contributes to disease resistance against Pseudomonas syringae pv. Tomato DC3000 and Botrytis cinerea in Arabidopsis thaliana. J Plant Physiol. 2015;175:21–25. [DOI] [PubMed] [Google Scholar]
- 35. Wagner G, Charton S, Lariagon C, et al. Metabotyping: a new approach to investigate rapeseed (Brassica napus L.) genetic diversity in the metabolic response to clubroot infection. Mol Plant Microbe Interact. 2012;25:1478–1491. [DOI] [PubMed] [Google Scholar]
- 36. Scheideler M, Schlaich NL, Fellenberg K, et al. Monitoring the switch from housekeeping to pathogen defense metabolism in Arabidopsis thaliana using cDNA arrays. J Biol Chem. 2002;277:10555. [DOI] [PubMed] [Google Scholar]
- 37. Irani S, Trost B, Waldner M, et al. Transcriptome analysis of response to Plasmodiophora brassicae infection in the Arabidopsis shoot and root. BMC Genomics. 2018;19:23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. van Damme M, Zeilmaker T, Elberse J, Andel A, de Sain-van der Velden M, van den Ackerveken G. Downy mildew resistance in Arabidopsis by mutation of HOMOSERINE KINASE. Plant Cell. 2009;21:2179–2189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Stuttmann J, Hubberten HM, Rietz S, et al. Perturbation of Arabidopsis amino acid metabolism causes incompatibility with the adapted biotrophic pathogen Hyaloperonospora arabidopsidis. Plant Cell. 2011;23:2788–2803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Xu Y, Wu J, Fu S, Li C, Zhu ZR, Zhou X. Rice stripe Tenuivirus nonstructural protein 3 hijacks the 26S proteasome of the small brown planthopper via direct interaction with regulatory particle non-ATPase subunit 3. J Virol. 2015;89:4296–4310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Camborde L, Planchais S, Tournier V, et al. The ubiquitin-proteasome system regulates the accumulation of Turnip yellow mosaic virus RNA-dependent RNA polymerase during viral infection. Plant Cell. 2010;22:3142–3152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Lyzenga WJ, Stone SL. Abiotic stress tolerance mediated by protein ubiquitination. J Exp Bot. 2012;63:599–616. [DOI] [PubMed] [Google Scholar]
- 43. Zhang X, Garreton V, Chua NH. The AIP2 E3 ligase acts as a novel negative regulator of ABA signaling by promoting ABI3 degradation. Genes Dev. 2005;19:1532–1543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Yang J, Lin R, Sullivan J, et al. Light regulates COP1-mediated degradation of HFR1, a transcription factor essential for light signaling in Arabidopsis. Plant Cell. 2005;17:804–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Weake V, Workman J. Histone ubiquitination: triggering gene activity. Mol Cell. 2008;29:653–663. [DOI] [PubMed] [Google Scholar]
- 46. Yang L, Xie C, Li W, Zhang R, Jue D, Yang Q. Expression of a wild eggplant ribosomal protein L13a in potato enhances resistance to Verticillium dahliae. Plant Cell Tiss Org. 2013;115:329–340. [Google Scholar]
- 47. Moin M, Bakshi A, Saha A, Dutta M, Madhav SM, Kirti PB. Rice ribosomal protein large subunit genes and their spatio-temporal and stress regulation. Front Plant Sci. 2016;7:1284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Riechmann JL. Transcription factors of Arabidopsis and rice: a genomic perspective. In: Grasser KD, ed. Annual Plant Reviews, Vol. 29: Regulation of Transcription in Plants. Oxford: Blackwell Publishing Ltd; 2007:28–53. [Google Scholar]
- 49. Alves M, Dadalto S, Goncalves AB, de Souza GB, Barros VA, Fietto LG. Transcription factor functional protein-protein interactions in plant defense responses. Proteomes. 2014;2:85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Liu J, Wang Y, Zhao G, et al. A novel Gossypium barbadense ERF transcription factor, GbERFb, regulation host response and resistance to Verticillium dahliae in tobacco. Physiol Mol Biol Plants. 2017;23:125–134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Major IT, Yoshida Y, Campos ML, et al. Regulation of growth-defense balance by the JASMONATE ZIM-DOMAIN (JAZ)-MYC transcriptional module. New Phytol. 2017;215:1533–1547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Ma R, Xiao Y, Lv Z, et al. AP2/ERF transcription factor, Ii049, positively regulates lignan biosynthesis in Isatis indigotica through activating salicylic acid signaling and lignan/lignin pathway genes. Front Plant Sci. 2017;8:1361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Lorenzo O, Piqueras R, Sanchez-Serrano JJ, Solano R. ETHYLENE RESPONSE FACTOR1 integrates signals from ethylene and jasmonate pathways in plant defense. Plant Cell. 2003;15:165–178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Pandey SP, Somssich IE. The role of WRKY transcription factors in plant immunity. Plant Physiol. 2009;150:1648–1655. [DOI] [PMC free article] [PubMed] [Google Scholar]
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