Abstract
Background
Strawberry is susceptible to destructive pathogens including Colletotrichum siamense (Cs), Fusarium oxysporum f.sp. fragariae (Fof) and Xanthomonas fragariae (Xf). There lacks a system including pathogens, uniform grading scales and candidate genes for assessing strawberry broad-spectrum resistance.
Objective
The main objectives of current work are to verify representative microbial strains and identify Cinnamyl Alcohol Dehydrogenase (CAD) genes in strawberry basal defenses to three leading pathogens.
Methods
Pathogenic strains were selected and used to study the resistance of three strawberry varieties. Common scales were applied for grading disease severity. Quantitative RT-PCR was performed to study the dynamic transcriptional profiles of CADs in early responses to three pathogens in all varieties.
Results
Pathogenic Cs, Fof and Xf isolates from strawberry crown parts were used for non-wound spraying inoculation on whole plants. F. vesca ‘Hawaii4’ was most susceptible to Fof and Xf. The cultivar ‘Benihoppe’ was most susceptible to Cs. Cultivar ‘Shenyi’ was less susceptible than ‘Benihoppe’, exhibiting a broad-spectrum resistance to Cs and Xf. ELI3-like CADs were down-regulated in ‘Hawaii4’ just 5 min post Cs inoculation but subsequently up-regulated at 30 min. Upon inoculation with Cs and Fof, six CADs displayed largely similar transcription profiles in ‘Shenyi’, while more CAD members were provoked in susceptible ‘Benihoppe’. The early expression profiles of strawberry CADs were largely host-genotype specific, but not pathogen-specific.
Conclusion
Representative strains of C. siamense, F. oxysporum f.sp. fragariae and X. fragariae were verified and successfully used to assess strawberry broad-spectrum resistance integrated with a common set of grading scales for disease severity. Transcriptional responses of CADs in strawberry leaves occurred as early as 5 min post Cs inoculation. Several CADs including CAD4, −9, −11 and −12 might function as early markers of strawberry basal resistance to broad-spectrum pathogens.
Introduction
In natural environments, the sessile plants engage in constant infection of various pathogens. Plants have evolved a robust and conserved, two-tiered innate immune system, dynamically the frontline defense of pattern-triggered immunity (PTI) and a subsequent layer defense of effector-triggered immunity (ETI). PTI and ETI are mutually potentiated and collaborate synergistically to bolster disease resistance.1,2 Plant immune responses to pathogens could be categorized into the horizontal (quantitative) and vertical (qualitative) resistance, 3 or the basal resistance and race-specific resistance. 4 Broad-spectrum resistance (BSR) refers to resistance against two or more types of pathogen species or the majority races/isolates of the same species, is the ultimate objective of crop improvement. 5 Plant BSR can be realized by the cooperation of multiple genes, and also can be conferred by a single gene. 5 Three strategies have been suggested for crop BSR breeding: marker-assisted gene pyramiding, editing the susceptibility and executor genes (especially the effector binding elements, EBEs), and engineering genes from other species in resistant germplasms with excellent integrative agronomic traits. 6 The prerequisite for BSR breeding is to identify genes vital for BSR.
Defense-responsive genes and host pattern recognition receptor (PRR) type genes are important resources for BSR. 5 Rice phenylalanine ammonia-lyase gene OsPAL4 is a key contributor and potential breeding target for BSR. 7 Overexpression of Arabidopsis transcription regulator Elongator complex enhanced BSR in Fragaria vesca. 8 Plants use receptor kinases and receptor-like proteins as PRRs to monitor the apoplastic environment and detect potential danger, which contributes to both basal and non-host resistances critical for BSR. 9 For example, Sucrose non-fermenting-1-related protein kinase-1 (SnRK1) is conserved in all eukaryotes sensing energy deficits and maintaining energy homeostasis and survival: OsSnRK1α is a positive regulator of BSR, 10 while the inducible susceptibility gene OsSnRK1β1A is a negative regulator of BSR. 11
Being the first barrier that pathogens must overcome, plant cell wall is critical for disease resistance. Lignin is the biopolymer second to cellulose in abundance in plant cell wall, 12 whose composition is flexible and differs among species. 13 The biosynthesis of lignin involves in a variety of enzymes differentially regulated by developmental and various stresses signals. 13 Cinnamyl alcohol dehydrogenase (CAD) functions in the last and rate-limiting step to synthesizing the monomeric precursors of lignin.14,15,16 CAD is encoded by a gene family composed of multiple members widely found in the ancestral plants such as streptophyte algae 17 and moss Physcomitrium patens, 18 together with vascular plants.16,19 CAD genes share a complicated evolutionary history and are functionally versatile.17,20,21 AtCAD7 (ELI3-1) and AtCAD8 (ELI3-2) were strongly induced by pathogens and pathogen-derived elicitors.22,23 AtCAD4 and AtCAD5 were found to defend plants against Pseudomonas syringae through the salicylic acid pathway. 24 AtCAD7 was a negative regulator of immunity targeted by multiple Avr3a-like effectors to promote infection, 25 which was recently identified as a metabolic hub linking small-molecule aldehyde reductase activity to immune suppression. 26 Similarly being the target of multiple Phytophthora Avr3a-like effectors, AtCAD5 has been identified as the conserved positive immune regulator required for both plant PTI and ETI responses. 27 TaCAD1 in wheat (brown glume and internode 1, BGI1) contributed to lignin biosynthesis and pathogen defence. 28 Overexpression of soybean GmCAD3 increased lignin content and resistance to Fusarium oxysporum. 29 Rice OsCAD2, the target of Magnaporthe oryzae effector MoBys1, is critical for blast resistance and functions both as an enzyme catalyzing lignin biosynthesis and as a transcription factor regulating JA and lignin signaling pathways. 30
Strawberry (Fragaria × ananassa Duch.) is an important crop cultivated worldwide for its nutritious fruits with rich flavor. This herbaceous perennial plant is highly susceptible to various microbes. 31 Among the biotic stresses constraining strawberry production, anthracnose necrosis caused by the hemibiotrophic fungal pathogen Colletotrichum spp., vascular disease (crown rot and plant wilt) caused by the facultative fungal parasitism Fusarium oxysporum f.sp. fragariae (Fof), as well as angular leaf spot (ALS) and crown dry cavity rot caused by the hemibiotrophic bacterial pathogen Xanthomonas fragariae (Xf), are three leading diseases threatening strawberry. Anthracnose poses a devastating threat to strawberry worldwide, and the typical symptoms include leaf necrosis, stolon and petiole lesion spot, fruit rot, crown rot and plant death.32,33 C. siamense (Cs) of C. gloeosporioides complex has been the most prevailing species endangering strawberry. 34 Fusarium wilt caused by the soilborne fungal pathogen F. oxysporum f.sp. fragariae has been one serious cause of strawberry wilt and death worldwide.35,36 Typical symptoms caused by Fusarium sp. include growth-arrest and discoloration (yellow) in one of the three leaflets of a compound leaf, stunting, crown rot, wilting and eventual death. Fof can move from mother plant to first-generation daughter plants and then from first to second-generation daughter plants through stolons. 35 Preplant soil fumigation with chemicals is vital for controlling this pathogen. 37 Bacterial Angular leaf spot (ALS) of strawberry caused by X. fragariae was first reported in America in 1960. 38 The typical symptoms of this disease are translucent lesions on leaves and calyxes, easily viewed with transmitted light. 39 Long before the quarantine bacterium X. fragariae was first reported in China in 2017, 40 this pathogen has been widespread in strawberry fields in California, Florida, and Minnesota of USA in the 1990s. 41 Last five years have evidenced ALS emerging as the only major and widespread bacterial disease of strawberry industry in China.42,43,44 These diseases infect both strawberry survival and metabolites accumulation. For example, long-term Xf infection increased phenylalanine, tryptophan, and salicylic acid but decreased coumaric acid, quinic acid, and flavonoids of the phenylpropanoid pathway in strawberry leaves. 45
Some resistance-related genes or QTLs have been identified in strawberry. FaRCa1 (mapped to LG 6B) and FaRCa2 (mapped to LG 7B) were identified to confer fruit resistance to C. acutatum belonging to pathogenicity group 1 and group 2, respectively.46,47,48 FaRCg1 (mapped to LG 6B) accounted for 17–30% of the genetic variation in crown rot resistance. 49 Dominant genes Fw1 to Fw7, conferring strawberry resistance to Fusarium wilt, have been identified on four chromosomes 1A, 2A, 2B and 6B.50,51,52,53 The magnesium chelatase subunit CHLI contributes to strawberry resistance to X. fragariae through ABA-mediated stomatal closure. 54 Resistance gene analogue 3 (FaRGA3) is a promising candidate gene of FaRXf1 locus controlling strawberry resistance to X. fragariae.55,56
However, few work addressed the evaluation of strawberry BSR, let alone identifying candidate genes involving in strawberry BSR. There are great knowledge gaps surrounding strawberry resistance and a long way ahead before we can deploy durable BSR in field. Early activation of defense responses is crucial for plant resistance. Previously we identified CAD genes in strawberry and revealed their involvement in early responses to C. fructicola.57,58 There exist many queries regarding CAD genes in strawberry resistance. Does this versatile family respond to C. siamense as to C. fructicola? Does strawberry CADs respond to distinct pathogens beyond Colletotrichum spp.? Thus, the main objectives of current work are to i) verify pathogen strains for evaluating strawberry broad–spectrum resistance to three leading pathogens; ii) explore how fast can strawberry ELI3-like CADs respond to pathogen, and iii) identify universal candidate CAD genes involving in strawberry BSR. This study provided systematic methods, materials and molecular markers for assessing strawberry BSR to leading pathogens, which not only sets a basis for future functional study of strawberry CADs but also facilitates the screening of novel strawberry germplasms with admirable BSR.
Materials and methods
Collection of strawberry pathogens
Diseased strawberry plants were sampled in China and the prevailing causal agents including two species of fungi and one species of bacterium from crown parts were used in this work (Table 1). C. siamense strain GQH140 (CGMCC3.33997) and F. oxysporum f.sp. fragariae strain XueSH06 (CGMCC3.40050) were isolated from strawberry cv. Shenyi and cv. Zijinxiangxue, respectively. X. fragariae strain W2R from cv. Akihime was generously provided by Prof. Bo Zhu of Shanghai Jiao Tong University. Molecular identification of these pathogens was performed by PCR with specific primers listed in Table 2. Crude extract of fungal DNA for PCR template was obtained from fresh hypha in TE buffer (B548106-0500, Sangon Biotech Co. Ltd, Shanghai, China) via centrifugation at 5000 rpm for 30 s. 59 Bacterium culture was directly diluted in water and used as PCR template. PCR products were sequenced (BioSune Biotech Co. Ltd, Shanghai, China) and further validated via BLASTN analysis at NCBI (identity threshold, ≥98%).
Detailed information for strawberry pathogens in this work.
Genome resource of C. siamense strain CGMCC3.33997 had been reported. 60 XueSH06 was featured with DNA barcodes C_AA159910.1 to C_AA159912.1.
Primers for identifying strawberry pathogens.
Plant materials and growth conditions
The woodland strawberry ‘Hawaii4’ (F. vesca) and commercial strawberry (F. × ananassa) varieties ‘Benihoppe’ (HY) and ‘Shenyi’ (SY) were assessed in this work. Young stolon-derived seedlings collected from nursery or greenhouse were cultivated in pots filled with mixed substrate containing moss peat and perlite (of 3:1 v/v). These plants were grown in a greenhouse at 24 ± 2°C under a 12h-dark/ 12h-light rhythm for one and a half months. Uniform healthy plants with 4–5 fully expanded leaves were moved to a growth chamber (GZX-1000; Jiangnan Brand, Ningbo, China) under similar conditions two weeks before inoculation. Five plants per strawberry variety were used for pathogen inoculation or mock treatment in one independent experiment.
To evaluate strawberry resistance, inoculation experiment was independently repeated three times per host × pathogen. For the quantitative-PCR (qPCR) analysis of one subclade of strawberry ELI3-like CADs (FvCAD10, −11 and −12)22,58 to C. siamense infection or whole CAD family members in strawberries, experiments were independently repeated three times.
Preparation of C. siamense inoculum and inoculation
The method for inoculum preparation and whole plant inoculation with C. siamense (Cs) was performed largely as recently reported. 70 Ten plants of each variety were equally divided into control (mock) and inoculation groups in one experiment. About 20 ml conidial solution (2 × 106 cfu) with 0.01% Tween-20 was sprayed on one plant. Leaf necrosis symptoms were scored at 4, 7, 14 and 21 days post inoculation (dpi). Leaves with anthracnose lesions were rated in 0, 1, 3, 5, 7 to 9 scales as previously reported. 71 Disease index (DI, %) was calculated following the same publication.
To analyze the dynamic expression of the ELI3-like representative genes FvCAD10, −11 and −12, one and a half month old Hawaii4 young seedlings were spray-inoculated. The third and forth fully-expanded leaves were sampled at 5 min, 10 min, 15 min, 30 min, 1 h, 2 h post pathogen inoculation or mock treated simultaneously. The experiment was independently performed three times.
For analysis of the expression responses of whole CAD family to Cs, two-month old Hawaii4, cultivar Shenyi and Benihoppe plants were spray-inoculated. The third and fourth fully-expanded leaves were sampled at 30 min and 2 h post Cs inoculation or mock treatment. The experiment was independently performed three times.
Preparation of F. oxysporum f.sp. fragariae inoculum and inoculation
Single-conidia strain of F. oxysporum f.sp. fragariae (Fof) was isolated from crowns as other pathogenic fungi of strawberry. 70 The preparation of F. oxysporum inoculum was largely similar with that for C. siamense. Briefly, about 10 pieces of fresh Fof mycelial culture were cut from the margin of 5- or 6-d PDA (Difco Potato Dextrose Agar, Becton, Dickinson Company, USA) plate, transferred to a 250 mL conical flask with 100 mL PDB (Potato Dextrose Broth, BD Company, USA), and incubated in a shaker at 200 rpm in dark for 24 h under 25°C. Conidia were filtered through two-layer lens tissue and diluted with distilled water to expected concentration 1x 106 conidia per mL. 72
Each plant was sprayed with about 20 mL Fof conidial suspension or mock-treated with sterile water, consistently added with 0.01% Tween-20 (v/v). After spray inoculation, plants were maintained under conditions as 25°C, 12 h/12 h light/dark rhythm. Humidity was maintained over 90% for the first three days, and later kept in a range of 70–80%. The incidence of disease was observed from 7 dpi till 19 dpi. Symptoms were recorded and graded on the crown longitudinal section of each plant at 19 dpi following previous report. 73 DI was similarly calculated as for crown rot caused by C. siamense. The experiment was independently performed three times.
Preparation of X. fragariae inoculum and inoculation
The W2R strain of X. fragariae) 61 was first cultivated on Nutrient Broth (NB) medium (Cat. 022010#, Guangdong Huankai Microbial Sci. & Tech. Co., Ltd,Guangdong, China) plate with 15 g/L agar (Cat. A037#, Caisson Lab Inc., USA) for 3 days under 28°C in dark. Single clone of W2R was then grown in liquid NB medium under 25°C at 200 rpm for 24–48 h. This culture was centrifuged and re-suspended in sterile water to OD600 = 0.9 74 with Tween-20 (0.01%, v/v) added. Each plant was sprayed with about 20 mL bacterial suspension or distilled water for mock treatment. After inoculation, plants were maintained under conditions as 25°C, 12 h/12 h light/dark rhythm for disease development. Humidity was maintained over 90% for the first three days, and later kept around 70–80%. Water-soaked lesions on the abaxial surface of each leaflet were observed at 4, 7, 14, 18, 19 and 21 dpi, and scored following the same criteria as for anthracnose leaf lesions. Briefly, the severity of lesions on each leaflet was assessed using the following grades: 0, asymptomatic; 1, lesion cover ≤5%; 3, lesion cover above 5% and ≤10%; 5, lesion cover over 10% and ≤25%; 7, lesion cover over 25% and ≤50%; 9, lesion cover > 50% of leaf area. DI was similarly calculated as for two fungal pathogens. The experiment was independently performed three times.
RNA extraction, rt-PCR and qPCR
The leaf blades of the third or the fourth fully expanded compound leaves collected from 5 plants per strawberry variety × treatment (pathogen or mock) at certain timepoint post inoculation were pooled as a biological replicate. Leaves were wrapped in tin foil and stored immediately at −80°C for RNA purification in one month. RNA was isolated using All-In-One DNA/RNA mini-Preps Kit (Cat. B618203-0050#, Sangon Biotech (Shanghai) Co., Ltd, China). The first strand cDNA was synthesized using the SynScriptⅢ One-Tube RT superMix (+gDNA Remover) kit (Cat. DLR102#, DaLing Bio, Hubei Tsingke, China). Quantitative RT-PCR (qPCR) was performed using the ArtiCanATMSYBR qPCR Mix (Cat. DLQ102#, DaLing Bio, Hubei Tsingke, China) in a reaction volume 12 μl in Light Cycler 480 (Roche, USA). qPCR analysis was performed for individual cDNAs using the 2−ΔΔCT method combined with a geometric mean for normalization of the Ct values of two reference genes EF1a and GAPDH2. 75 All primers used were the same as previously reported 58 with the exception of those for CAD11 and CAD12. Forward primers specific to CAD11 and CAD12 were TACGGAAGTAGGGAGCAAAG (5’-3’) and GACGGAAGTAGGAAGCAGTG (5’-3’), respectively. Their shared reverse primer was GTCAGAGTAACCGCCATA (5’-3’).
For dynamic expression profiling of ELI3-like CAD genes at 6 timepoints post C. siamense inoculation, three independent biological repeats, each with four technical replicates were studied in qPCR and the relative expression values with similar alteration patterns were used for further analysis. For analysis of the early responses of whole CAD family to distinct pathogens, three independent biological repeats, each with four technical replicates were applied in qPCR and the mean of relative expression values were used. All results were illustrated using GraphPad Prism 10.1.2 software.
Results
Assessing strawberry susceptibility to C. siamense
Fungal pathogens of strawberry were isolated and identified from diseased strawberry samples in whole China. In Colletotrichum spp., the C. siamense strain Cs:GQH140 (deposited under the accession number CGMCC3.33997 in Chinese General Microbiological Culture Collection Center) with high sporulation and moderate pathogenicity under 25°C was selected as a model organism in current lab, with its genome sequenced. 60
Cs:GQH140 was isolated from the crown of cv ‘Shenyi’ in the field of Jiading District, Shanghai (Table 1). It forms gray to white colonies characterized by abundant and floccose aerial mycelia with entire margin on PDA plate. The reverse sides of the colonies are gray to black with a few black conidial masses near the inoculum origin and the conidia are long elliptical or cylindrical with bluntly rounded ends (Figure 1(a) to (c)).

The biological features of Colletotrichum siamense strain GQH140 (CGMCC3.33997) and the disease it caused in three strawberry varieties after non-wound spray inoculation. (
The relative resistance of three strawberry varieties to Cs:GQH140 was assessed following spray inoculation. The development of necrotic lesions on leaves was recorded. At 4 dpi, small leaf lesions were observed on the first and second compound leaves of all three varieties (Figure 1(d) to (f)), with a relatively higher DI in cv. ‘Benihoppe’. Pathogenesis varied with host variety. ‘Shenyi’ displayed the slowest development of necrosis within the first 14 dpi (Figure 1(g)). By 21 dpi, disease progression accelerated in all three varieties. At all stages recorded, ‘Benihoppe’ had the highest DI being most susceptible, ‘Shenyi’ had the lowest DI being most resistant, and F. vesca ‘Hawaii4’ was moderate susceptible. The relative resistance of three varieties to Cs:GQH140 was also evident in macroscopic symptoms shown in Supplementary Figure S1(b) and (e).
Assessing strawberry susceptibility to F. oxysporum f.sp. fragariae
To study strawberry resistance to Fusarium wilt, the F. oxysporum f.sp. fragariae strain XueSH06 (CGMCC3.40050) isolated from the crown of cultivar ‘Zijingxiangxue’ in Kunming, Yunnan Province was selected for its high sporulation and moderate pathogenicity. Barcode sequences of ITS (Internal transcribed spacer ribosomal DNA), CAL (Calmodulin) and RPB2 (RNA polymerase second largest subunit) for Fof:XueSH06 had been deposited in the GenBase 76 in National Genomics Data Center, 77 Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, under accession numbers C_AA159910.1 to C_AA159912.1 (https://ngdc.cncb.ac.cn/genbase). This Fof strain develops gray to white colony with well-developed aerial mycelium and a regular margin on PDA medium; the reverse side of the colony is gray with a faint purple cycle (Figure 2(a) and (b)). The macroconidia are rod-shaped with tapered ends, while the microconidia are oval (Figure 2(c)).

The biological features of Fusarium oxysporum f. sp. Fragariae strain XueSH06 and the disease it caused in three strawberry varieties after non-wound spray inoculation. (
The susceptibility of three strawberry varieties was assessed following leaf spray inoculation of Fof:XueSH06 conidia. No wilt symptom was perceived directly on any of three varieties during 18 days post inoculation, although a light decoloration observed in Hawaii4 leaves (Supplementary Figure S1(d)). At 19 dpi, strawberry crowns were examined via longitudinal sectioning. As shown in Figure 2(d) to (f), reddish-brown lesions were observed in the crown of all three varieties. The lower part of crown was rot in cultivar ‘Shenyi’ and ‘Benihoppe’, which indicated that Fof colonized commercial cultivars from root upward, meeting with the general character of a soilborne and vascular pathogen. But in F. vesca ‘Hawaii4’, lesions occurred in the upper part of crowns, which might result from a direct contact between the inoculum and the upper crown tissues, thus effectively bypassing the natural root barriers. According to grading the relative crown rot area (Figure 2(g)), the DI of ‘Shenyi’ at 19 dpi was the lowest and relatively more resistant than cv. ‘Benihoppe’ and diploid ‘Hawaii4’. As compared with cultivated strawberries, ‘Hawaii4’ had thinner crowns and displayed relatively the weakest resistance to Fof in sheltered and moist environments.
Assessing strawberry susceptibility to X. fragariae
To assess strawberry resistance to the bacterial disease ALS, X. fragariae strain W2R isolated from the crown of cultivar ‘Akihime’ in the field of Pudong New District, Shanghai (Table 1) was used. The yellow colonies on NB agar are circular with smooth, well-defined margins. They appear opaque with a raised center. The colony surface is smooth, glistening, and mucoid in consistency (Figure 3(a) and (b)). This strain grows better in NB medium than in liquid R2A medium (Figure 3(c)).

The biological features of Xanthomonas fragariae strain W2R and the disease it caused in three strawberry varieties after non-wound spray inoculation. (
Following inoculation with X. fragariae, pathogenesis was monitored by the occurrence of irregular water-soaked lesions on the abaxial surfaces of leaves viewed with transmitted light. No lesions were observed on the upper surface of the leaves within 18 days post inoculation. The lesion on leaf abaxial surface was easily observed in cv. ‘Benihoppe’ at 4 dpi and in F. vesca ‘Hawaii4’ at 7 dpi (Figure 3(d) to (f)). Bacterial ooze was observed following the water-soaked lesions coalesced and expanded like translucent necrotic patches in cv, Benihoppe and F. vesca Hawaii4 (Figure 3(g) to (i)). ‘Hawaii 4’ exhibited the most severe disease symptoms than two cultivated varieties (Figure 3(j)). In cv. ‘Shenyi’, lesion was obvious at 7 dpi, but no bacterial ooze was observed by 14 dpi, although plant death also was observed (Supplementary Figure S1(c) and (f)). Regarding disease indices recorded by 14 dpi, cv. ‘Shenyi’ was more resistant than cv. ‘Benihoppe’, but disease progressed more sharply in ‘Shenyi’ than in ‘Benihoppe’ at 21 dpi.
Expression profiling of ELI3-like CADs upon C. siamense infection
To answer how fast strawberry CADs can respond to biotic stress, dynamic changes in the relative expression of CAD genes were monitored from 5 min to 2 h post inoculation with C. siamense in F. vesca ‘Hawaii4’. It's worth noting that ELI3-like representative CADs tested were highly sensitive (Figure 4). Transient down-regulation was observed for all CADs examined just at 5 min post inoculation with C. siamense. That immediate suppression lasted till 10 min for CAD10 and −12 transcripts. Furthermore, all three genes were up-regulated at 30 min post inoculation, followed by a rapid decrease in relative expression. Accordingly, 30 min and 2 h post inoculation were chosen as time nodes for further analysis of whole CAD family.

Quantitative RT-PCR analysis of the dynamic expression of ELI3-like genes FvCAD10, −11 and −12 in F. vesca var. ‘Hawaii 4’ post inoculation with C. siamense. The amount of the cDNA templates in each sample was normalized against two reference genes GAPDH2 and EF1α. 75 Relative expression of CADs was calculated relative to the ‘Mock’ control at each specific time-point. Three independent biological repeats, each with four technical replicates were analyzed and the mean of similar results were shown.
Transcriptional responses of CAD family to three pathogens
Early expression responses of strawberry CAD family were investigated in three varieties with varying resistance to three pathogens. The quality of cDNAs was assessed via RT-PCR using GAPDH and EF1α as internal controls. All 72 except for 2 (‘Hawaii4’ sampled at 30 min post inoculation with Fof in the second repeat and ‘Benihoppe’ (HY) sampled at 30 min post mock treatment in the third repeat) cDNA samples were of high quality (Supplementary Figure S2). To screen CAD family members for qRT-PCR analysis, 12 cDNAs for each strawberry variety (3 independent replicates×2 time nodes×2 treats (mock and Cs/Fof/Xf)) were pooled, resulting in 9 mixtures (3 hosts × 3 pathogens). Semi-RT-PCR selected a total of eight genes detectable belonging to all three subfamilies 58 (CAD2, −3, −4, −9, −10, −11, −12, and −13) (Supplementary Figure S3) for further qPCR analysis with individual biological replicates (Figure 5).

Quantitative RT-PCR analysis of eight strawberry CAD genes during early responses to distinct pathogens. Three strawberry varieties including F. vesca var. ‘Hawaii 4’, commercial cultivars ‘Shenyi’ and ‘Benihoppe’ were tested upon infection with three pathogens. Relative expression of CADs was calculated relative to the ‘Mock’ control at each specific time-point. Three independent biological repeats, each with four technical replicates were analyzed and the mean of similar results were shown. Mock for water treatment; Cs for C. siamense inoculation; Fof for F. oxysporum f. sp. Fragariae; Xf for Xanthomonas fragariae.
In ‘Hawaii4’, at least six CADs were quickly activated at 30 min post pathogen inoculation: CAD4, −11 and −13 were up-regulated by all three pathogens, and the rest three members CAD9, −10 and −12 were up-regulated by Fof and Xf. At 2 hpi, CAD3 was also up-regulated by Fof and Xf, while CAD2 was down-regulated by three pathogens.
As compared with that in F. vesca Hawaii4, fewer CADs were activated in the cultivated variety ‘Shenyi’. CAD13 was up-regulated by three pathogens at 30 min post inoculation; CAD4 was up-regulated by three pathogens at 2hpi; CAD9 was specifically induced at 2hpi by Xf. On the other hand, CAD2 was consistently down-regulated at 30 min post inoculation with three pathogens, and CAD11 and −12 were clearly down-regulated at 2 h post inoculation with three pathogens.
Differently, in ‘Benihoppe’, CAD3, −4, and −9 were uniformly induced at 2 hpi upon three pathogens infection. CAD4 also was up-regulated by Fof and Xf at 30 min. CAD10 was induced by the same two pathogens at 2hpi. At 30 min post inoculation, CAD3 and CAD12 were specifically induced by Xf and Cs, respectively. Also, CAD2 was induced by Cs at 2 hpi. In general, the early expression responses of CAD family were diversified in three strawberry varieties, and more members were markedly provoked in the susceptible cultivar ‘Benihoppe’.
Finally, the expression profiles of CAD family in strawberry early responses to distinct pathogens were summarized (Figure 6). Those genes with two folds or more changes in transcript levels upon pathogen infection were marked differentially. The alteration patterns in transcription levels of CADs were nearly identical in cv. ‘Shenyi’ threatened by Cs and Fof. Most changes in CADs expression were similar in ‘Shenyi’ exposed to Fof and Xf. In F. vesca ‘Hawaii4’, the expression profiles of CAD family members were largely similar when threatened by Fof and Xf. Noticeably, if altered, CAD4 and −9 were consistently up-regulated upon three biotic stresses in all strawberry varieties, while CAD2 was always down-regulated with the exception of at 2 h post exposure to Cs in cv. Benihoppe. In sum, the expression profiles of CAD family in strawberry early defense responses were largely host genotype-specific, but not pathogen-specific.

Simplified cartoon overview of the early responses of CAD genes in strawberry leaves upon inoculation with distinct pathogens. Each square represents the expression level of a specific CAD gene relative to mock treatment in a strawberry variety at a given timepoint post inoculation. Scarlet squares, relative expression levels greater than 2; olive-green, less than 0.5; white, between 0.5 and 2 or data omitted.
Discussion
Based on the isolation and validation of pathogen strains belonging to two fungal and one bacterial species causing most prevailing and devastating diseases in strawberry, current work developed the method system for evaluating strawberry BSR. All pathogen strains were recently collected and showed easy accessibility of inoculum under identical conditions (200 rpm, 25°C, dark) in PDB or NB media. Preparation of expected concentration (1∼2 ⅹ 106 cfu) of inoculums of C. siamense, F. oxysporum f. sp. fragariae and X. fragariae could be ready in 36-, 24- and 48 h, respectively. However, it is worth noting that F. oxysporum naturally infects host via the roots. Conventional methods are suggested for future assessing strawberry resistance to F. oxysporum, including sowing seedlings with wounded roots in sterilized sand or other mixed substrate added with conidial suspension78,79 and spraying conidial suspension on wounded crowns. 72 Currently, for simultaneously monitoring rapid gene expression in leaves confronted with three pathogens, foliar spraying, a unconventional method was used for inoculation with F. oxysporum. Typical crown rot caused by this pathogen was observed because adequate inoculums accumulated in plant crowns and in growth substrate after spraying inoculation and adequate substrate humidity facilitated the infection from roots of octoploid strawberries and directly infection from the upper crown parts of diploid F. vesca.
This work used a common set of grading scales for assessing the symptom severity of three diseases, which will facilitate sharing results among different research groups. To accurately rate strawberry BSR, it is suggested to continuously record macroscopic symptoms integrated with quantifying microorganism biomass using molecular methods in the future. Methods for molecular quantification of pathogen colonization in strawberry plants could be found in previous reports: quantification of Fof, 80 of C. gloeosporioides complex including Cs, 81 and of Xf. 61
Currently, F. vesca ‘Hawaii4’ was found highly susceptible to Fusarium wilt caused by Fof and ALS caused by Xf. It is extremely urgent to identify resistance gene resources via assessing a wide range of wild germplasms to provide genetic materials enhancing BSR in cultivated strawberry. Two cultivars tested in this work displayed distinct susceptibility to three pathogens. ‘Shenyi’ showed moderate susceptibility to Fusariium wilt similar to ‘Benihoppe’ in nursery, which is coincident with current observation. ‘Benihoppe’ was more susceptible than ‘Shenyi’ to Cs and Xf, which meets with the observations that ‘Shenyi’ is superior to ‘Benihoppe’ in resistance to anthracnose and ALS in field.
The resistance of strawberry to the bacterial disease ALS caused by X. fragariae is particularly worth of noting due to its short epidemic history in China. Currently, although crown rot was not observed till 21 d post inoculation with Xf: W2R, the possibility cannot be excluded that this strain from crown could cause crown rot as previous report in strawberry variety ‘N-17’ at 45 days post wound inoculation with strain YL19. 74 It has been reported that all commercial strawberry cultivars are susceptible to bacterial ALS. 56 As compared to cv. Benihoppe, Chinese cultivar ‘Fen Yu’ was more resistant while ‘Yue Xiu’ was most susceptible to Xf strain JD1 from symptomatic strawberry leaves in Jiande, Zhejiang Province. 82 Stomatal immunity and ABA signaling pathway is vital for strawberry defending the infection and colonization of X. fragariae thus limiting the disease development. 83 To evaluate the BSR to pathogens including X. fragariae in a wide range of cultivated strawberry germplasms is the prerequisite for revealing their resistance physiological and molecular mechanisms for BSR breeding.
Early activation of defense responses is crucial for host resistance to Fof. 84 Similarly, our previous work suggested that 2 hpi was vital for the activation of strawberry SA-mediated defense response to C. fructicola. 85 In PRR signaling pathway, perception of ligand by PRR is prompt, association with PRR co-receptors happens in seconds, activation of multiple TFs and expression of defense-related genes occur in minutes, and biosynthesis of antimicrobials and defense-related phytohormones happen in hours. 86 In this work, strawberry ELI3-like CAD11 and CAD12 were clearly suppressed immediately just 5 min after exposure to Cs, which reinforced that CADs contribute to the frontline defense of PTI. Furthermore, most CADs exhibited similar expression responses when threatened by three or two distinct pathogens, which again supports that they are important components involving in strawberry basal resistance to a broad-spectrum pathogens. However, the possibility cannot be ruled out that strawberry CADs also contribute to the second layer defense of ETI as in other plants. 27
To investigate the molecular mechanisms underlying strawberry BSR, two early responsive CADs are particularly worth for further functional study. CAD4, the unique member of Class I bona fide CAD active in strawberry aboveground part, was induced by three pathogens in ‘Hawaii4’ and by two pathogens ‘Benihoppe’ at 30 min post inoculation, but its up-regulation was delayed to 2 hpi in the resistant ‘Shenyi’. Since Class I CAD has been confirmed to be a conserved positive immune regulator involving in both PTI and ETI responses, 27 the postponed induction of CAD4 might mean the delayed manipulation by pathogen at early stage and ultimately contribute to the relatively higher resistance to three pathogens in ‘Shenyi’.
The ELI3-like of Class II member CAD12 was quickly induced by Cs in ‘Benihoppe’, and induced by Fof and Xf in ‘Hawaii4’ at 30 min post inoculation. Among three hosts tested, ‘Benihoppe’ displayed the highest susceptibility to Cs, and ‘Hawaii4’ showed the highest susceptibility to Fof and Xf. Interestingly, CAD12 was significantly down-regulated in a resistant cultivar ‘ShenQi’ while induced in ‘Hawaii4’ and ‘Benihoppe’ at about 30 min post inoculation with C. fructicola (0 hpi). 58 These observations prompted us to speculate that CAD12 might be a negative regulator of strawberry disease resistance like its ortholog AtCAD7 in Arabidopsis.25,26 The early suppression of CAD12 might positively contribute to strawberry defense responses to broad-spectrum pathogens, which is remained to be further investigated.
Supplemental Material
sj-docx-1-ber-10.1177_18785093261465775 - Supplemental material for Evaluating strawberry resistance and the early transcriptional responses of cinnamyl alcohol dehydrogenase genes to three pathogens
Supplemental material, sj-docx-1-ber-10.1177_18785093261465775 for Evaluating strawberry resistance and the early transcriptional responses of cinnamyl alcohol dehydrogenase genes to three pathogens by Meng-Ying Li, Xue Li, Ke Duan, Xiao-Ying Guo, Jing Yang, Chun-Nu Geng and Qing-Hua Gao in Journal of Berry Research
Footnotes
Acknowledgments
This work was partially supported by funds from Shanghai Academy of Agricultural Sciences (Grants No. JD252201 and JCYJ262201). We are grateful to Kunming Kusen Agricultural Development Co., Ltd for providing diseased strawberry in Xundian, Kunming, Yunnan Province, Dr Chengxin Mao of Department of Plant Pathology, Zhejiang Agriculture and Forest University for valuable guidance in identification and inoculation of Fusarium oxysporum f.sp. fragariae, and Prof. Bo Zhu of Shanghai Jiaotong University for generously providing Xanthomonas fragariae and valuable guidance in inoculation. Thanks are due to anonymous reviewers for valuable comments which improved this manuscript.
Author contributions
1. K. D., C-N. G. and Q-H. G. conceived this work. M-Y. L. carried out most experiments. X. L. collected and prepared pathogens. K. D. and M-Y. L. performed data analysis. X-Y. G. and J. Y. contributed to phenotyping and RNA analysis. M-Y. L. prepared tables and figures. K. D wrote the paper. All authors contributed to revising and approved the manuscript.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Shanghai Academy of Agricultural Sciences, (grant number JCYJ262201, JD252201).
Declaration of conflicting interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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References
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