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Article

Cytological and Gene Profile Expression Analysis Reveals Modification in Metabolic Pathways and Catalytic Activities Induce Resistance in Botrytis cinerea Against Iprodione Isolated From Tomato

1
Guangxi Key Laboratory of Agric-Environment and Agric-Products Safety, Agricultural College of Guangxi University, Nanning 530004, Guangxi, China
2
Department of Plant Pathology, University College of Agriculture and Environmental Sciences, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
3
National Key Laboratory of Crop Improvement Genetics, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(14), 4865; https://doi.org/10.3390/ijms21144865
Submission received: 11 May 2020 / Revised: 12 June 2020 / Accepted: 6 July 2020 / Published: 9 July 2020
(This article belongs to the Special Issue Cell Signaling in Model Plants)

Abstract

:
Grey mold is one of the most serious and catastrophic diseases, causing significant yield losses in fruits and vegetables worldwide. Iprodione is a broad spectrum agrochemical used as a foliar application as well as a seed protectant against many fungal and nematode diseases of fruits and vegetables from the last thirty years. The extensive use of agrochemicals produces resistance in plant pathogens and is the most devastating issue in food and agriculture. However, the molecular mechanism (whole transcriptomic analysis) of a resistant mutant of B. cinerea against iprodione is still unknown. In the present study, mycelial growth, sporulation, virulence, osmotic potential, cell membrane permeability, enzymatic activity, and whole transcriptomic analysis of UV (ultraviolet) mutagenic mutant and its wild type were performed to compare the fitness. The EC50 (half maximal effective concentration that inhibits the growth of mycelium) value of iprodione for 112 isolates of B. cinerea ranged from 0.07 to 0.87 µg/mL with an average (0.47 µg/mL) collected from tomato field of Guangxi Province China. Results also revealed that, among iprodione sensitive strains, only B67 strain induced two mutants, M0 and M1 after UV application. The EC50 of these induced mutants were 1025.74 μg/mL and 674.48 μg/mL, respectively, as compared to its wild type 1.12 μg/mL. Furthermore, mutant M0 showed higher mycelial growth sclerotia formation, virulence, and enzymatic activity than wild type W0 and M1 on potato dextrose agar (PDA) medium. The bctubA gene in the mutant M0 replaced TTC and GAT codon at position 593 and 599 by TTA and GAA, resulting in replacement of phenyl alanine into leucine (transversion C/A) and aspartic acid into glutamic acid (transversion T/C) respectively. In contrast, in bctubB gene, GAT codon at position 646 is replaced by AAT and aspartic acid converted into asparagine (transition G/A). RNA sequencing of the mutant and its wild type was performed without (M0, W0) and with iprodione treatment (M-ipro, W-ipro). The differential gene expression (DEG) identified 720 unigenes in mutant M-ipro than W-ipro after iprodione treatment (FDR ≤ 0.05 and log2FC ≥ 1). Seven DEGs were randomly selected for quantitative real time polymerase chain reaction to validate the RNA sequencing genes expression (log fold 2 value). The gene ontology (GO) enrichment and Kyoto encyclopedia genes and genomes (KEGG) pathway functional analyses indicated that DEG’s mainly associated with lysophopholipase, carbohydrate metabolism, amino acid metabolism, catalytic activity, multifunctional genes (MFO), glutathione-S transferase (GST), drug sensitivity, and cytochrome P450 related genes are upregulated in mutant type (M0, M-ipro) as compared to its wild type (W0, W-ipro), may be related to induce resistant in mutants of B. cinerea against iprodione.

Graphical Abstract

1. Introduction

Grey mold disease caused by Botrytis cinerea is one of the most destructive disease on more than 200 plant species including various economically important crops like tomato, grapevines, pepper, cucumber and strawberry [1,2]. The annual economic losses of B. cinerea is more than $10 billion worldwide including fresh fruits and vegetables [3]. B. cinerea is a necrotrophic fungal plant pathogen of pre and post-harvest diseases with broad host range reproduces sexually and asexually [4]. B. cinerea produced micro and macro conidia on the surface of host plant cells [5,6]. These one-celled spores borne on multiple branches expressed its obvious symptoms as greyish to light brown mold leaves, stem, flowers and fruits of host plant [7]. Grey mold is more protruding during persistent rainy, heavy dew, and foggy weather around temperature 18–24 °C [8].
B. cinerea has a unique ability to survive in different environmental conditions in the form of conidia and seclerotia that make this fungus very destructive and hazardous of resistance development [1,9,10]. The tremendous results against B. cinerea have been attained by applying various agrochemicals on tomato, cucumber, vine grapes etc. Every year more than half billion-dollar cost of fungicides are sprayed against different pests [2]. Chemical control of grey mold currently approached by seven classes of fungicides including anilinopyrimidines (APs), dicarboximide (Dc’s), methyl benzimidazole, carbamates (MBCs), hydroxyanilides (HAs), quinone outside inhibitors (QoIs), succinate dehydrogenase inhibitors (SDHIs), and phenylpyrroles (PPs) [11,12]. Extensive use of agrochemicals induces resistance in plant pathogens in field. Nowadays we selected those site specific fungicides that have high efficacy, low toxicity and little human health risk [13]. However, these characteristics somewhat offset by their susceptibility to resistance development [14]. Iprodione, a dicarboximide (Dc) fungicide, has been used commercially for more than 30 years to control a wide variety of fungal pathogens. Among dicarboximides (Dcs), iprodione is a broad spectrum contact fungicide used as a foliar application and seed protectant for many fruits and vegetable crops. It has both preventive and curative action [15]. It was first manufactured in 1990. The mode of action of iprodione is to obstruct the synthesis of RNA and DNA during the germination of many fungal spores as well as lower the activity of enzyme NADH cytochrome c reductase, so the production of lipids and membrane restricted, ultimately mycelial growth inhibited. It can be used as a wettable powder, granules dispersed in water, flow able for all crops at the rate of 450–750 g/L [16].
Dc-resistant strains (iprodione) have been reported in many plant pathogenic fungal species [17]. Previously Hamada et al. [18] obtained iprodione resistant mutants of Rhizoctonia cerealis collected from wheat in China, Botryosphaeria dothidea from pistachio in California [19], Alternaria isolates collected from pistachio in California [20], and B. cinerea from strawberry and tomato in Hubei province, China [21].
The point mutation in the two components of histidine kinase genes (Bcos1) responsible for resistance to iprodione has been identified in B. cinerea isolated from strawberry fruit [21]. Substitution at codon I365 was dominant to cause resistance against iprodione among various strains of B. cinerea [22,23,24]. BcNoxA and BcNoxB catalytic subunits are responsible for pathogenicity and the formation of spores, which provide a favorable environment to fungal sclerotic to survive under adverse environmental conditions [25]. Various isolates of B. cinerea may possess low, moderate, or high levels of resistance to iprodione [26]. Mostly field isolates possess moderate to low level resistance, whereas laboratory mutants have high level resistance [27].
B. cinerea is a famous plant pathogen for its aptitude to become resistant against different fungicides. Although resistance against a different group of fungicides induced by different mechanisms like structural alteration in binding sites of pathogens reduces the affinity of fungicides, up regulation of fungicide target genes, decomposition of active ingredients reduces the efflux of fungicide concentration [28]. The study of genomics, transcriptome, bioinformatics and proteomic provide a new array to explore resistance attributes. Rendering RNA sequencing the most effective and direct way to explore resistance genes in mutant species of B. cinerea.
Guangxi province of China is one of the major tomato producing area [29] and facing several challenges of fungal diseases including B. cinerea. Iprodione, fludioxonil, and tebuconazole fungicides have been widely used against fungal diseases in Guangxi province for many years. Thus it is necessary to study the sensitivity of B. cinerea against these fungicides and asses the resistance in isolates for these chemicals before they are widely used to control B. cinerea. In this study, B. cinerea isolates collected from tomato plants in Guangxi Province, China. The key objectives of the present study were to: (i) determine the prevalence and frequency of B.cinerea. (ii) determine the iprodione sensitivity of B. cinerea isolates; (iii) preliminarily evaluate the risk of B. cinerea resistance to iprodione and to characterize the iprodione induced mutants; (iv) asses the fitness stability and pathogenicity of iprodione resistant mutants; and (v) investigate the molecular mechanism responsible for the development of resistance in B. cinerea against iprodione.

2. Material and Methods

2.1. Collection of Samples and Chemicals

There were one hundred and twelve different isolates of B. cinerea collected from different locations of Tian Dong, Tian Yang County, Baise City, Guangxi province, a southern region of China during 2016–2018 (Supplementary Table S1). Single spore isolation was accomplished from diseased leaves and fruits, as described by Fernández et al. [30]. All isolates were stored at 20 °C on dried filter paper [31]. Iprodione (96.7%) active ingredient (a.i) fludioxonil (99.2% a.i.) tebuconazole (97% a.i.); original drug, (Shandong Weifang Runfeng Chemical Co., Ltd., Jinan, Shandong, China) used in this experiment. Iprodione (0.103 g) was dissolved in acetone (10 mL) for the preparation of the stock solution and stored at 4 °C at dark for further use.

2.2. Sensitivity of B. cinerea to Iprodione

To evaluate the drug sensitivity, all strains preliminarily tested at 0.1, 1, 10, 100 µg/mL different concentrations of iprodione based upon previous findings of Grabke et al. [17]. The particular above mentioned concentrations in acetone were amended into PDA medium to examine the inhibitory rate. The inhibitory effect of acetone on mycelial growth of B. cinerea was 0.00001% in the sensitivity analysis of iprodione content which is ignorable. The mycelial plug of 5 mm diameter of 3d old B. cinerea colony was placed in the center of the 90 mm petri plate that contains iprodione amended media. These plates incubated at 23 °C for 3 days and radial mycelial growth (colony diameter) of each isolate measured in Petri plate by using a scale in the perpendicular direction and 5 mm original plug subtracted from the whole measurement. The experiment preliminarily repeated thrice, and each treatment had 3 replicates with control (only PDA medium). Those isolates that grew successfully on iprodione amended PDA were considered as resistant and failed as sensitive. Data processing system statistics (DPS version 7.05, Zhejiang, China) was used to analyze the effect of different concentrations of fungicides on B. cinerea mycelial growth inhibition rate to inhibit the rate of probability, the value of the ordinate (y), the concentration of the agent to the value of the abscissa (x), obtained virulence linear regression equation y = a + bx, effective medium concentration (EC50) value, and correlation coefficient (r).

2.3. Evaluation of B. cinerea Mutants Resistant to Iprodione

After measuring the colony diameter of B. cinerea, the plates were further analyzed to obtain resistant mutants induced by iprodione. The method of UV mutagenesis induced resistance into drug sensitive strains. The mycelial plug of two resistant strains was placed in 1 µg/mL PDA medium containing iprodione and incubated at 23 °C. After 3 days incubation, these plates put in preheated, 20W UV lamp, 25 cm irradiation. After applying the treatment, the plates were kept at the incubator in the dark for ten days. After observation, each isolate was transferred to a higher concentration of drug-containing culture plates and repeat the above UV-induced colonies taken at edge cake. The resistant strains were plugged into the PDA medium and continuously cultured for 15 generations and measured as described above. Only stable resistant mutants selected for further analysis (Supplementary Table S2).

2.4. Characteristics of Iprodione Mutants and Sensitive Isolates

Mycelial growth, sporulation, virulence, cell membrane permeability, osmotic potential, and enzymatic activities were performed to compare the fitness characteristics between the sensitive and resistant strains. Mycelial colony diameter and sporulation were assessed with or without iprodione amended PDA medium. The mycelial colony diameter measured perpendicularly after 24, 48, 96, and 72 h and sporulation after 12, 13, 14, and 15 days of incubation at 23 °C.
Mycelium growth assay was conducted on fungicide-free PDA. Mycelial plugs were cut from the borders of 3-day-old colony and transferred to the center of PDA plates. Four plates for each isolate were incubated at 23 °C in the dark and colony diameter was measured at two perpendicular directions after 60 h of incubation.
The virulence was assessed on detached tomato leaves as previously described by Fan et al. [32]. Fresh tomato leaves were washed with double distilled water then disinfected by dipping in 75% ethanol for 1–2 min followed by three washings of double distilled water and allow them to dry on filter paper at room temperature. Leaves were placed in a 15 cm petri dish and cover the petioles with a wet cotton ball for moisture. Each leaf was punctured with a sterile lancet (Yangzhou Shuangling Medical Appliance Co., Ltd., Shuangling, China) in the middle as previously applied by Fan et al. [32] than placed in 5 mm mycelial plug on top of the wounds. Lesion diameter recorded with the help of measuring tape from each leaf after 4 days of incubation in the dark at 23 °C.
Osmotic sensitivity was measured to evaluate the cell wall elasticity by adding 10, 20, 40, and 80 mg/mL NaCL in PDA medium after 3 days of incubation at 23 °C. Mycelial growth inhibition rate (MGIR) calculated by the formula MGIR (%) = (CK-N)/(CK-5) × 100, whereas CK (mm) is the control plate colony diameter, N (mm) is that of a plate containing NaCl amendment. To determine cell membrane permeability, the wild type and its mutant strains were first incubated in 100 mL potato dextrose broth in a conical flask. These conical flasks were placed in a continuous shaker at a temperature 23 °C for 3 days. A (5 mm) eight mycelial plug of B. cinerea was added in each 250 mL conical flask contains 20 mL solution of iprodione with a concentration of 0, 1, 5, and 10 μg/mL. The conductivities were detected after 0 h, 0.5 h, 1 h, 2 h, and 3 h with the help of DDS-11A conductivity meter (Nanjing T-Bota Scietech Instruments & Equipment Co., Ltd., Nanjing, China) after each treatment. The final conductivities were measured via boiling the mycelium in water for 5 min. Each treatment has three replications. The relative permeability was calculated by using this formula: Relative permeability (%) = (Ct − C0)/C × 100 whereas C0: initial conductivity value; Ct: conductivity value at a certain moment; C: After boiling treatment [14].

2.5. Enzymatic Activities of Iprodione Resistant Mutant and Its Corresponding Wild Type

Polyglacturonase (PG), Polymethylglacturonase (PMG) and Cellulase (CE) Performed by DNS (3,5-dinitrosalicylic acid) Method Previously Described by Jiang et al. [33]. All three isolates were grown on potato dextrose broth media (PDB) at 120 r/min Shaker culture at 23 °C for 3 days. 0.1 g mycelium was grounded in liquid nitrogen in precooled pestle and mortar. Add 5 mL of sodium acetate buffer (pH 5.5) and centrifuge at 16,000 rpm for 20 min. The supernatant was collected and stored at 4 °C for further enzyme analysis. The substrate used to estimate the PG activity was 1% polygalacturonic acid in 50 mM sodium acetate buffer. The reaction mixture contains 0.5 mL sample volume, 0.5 mL substrate and 1 mL sodium acetate buffer in an eppendorf tube. The mixture was incubated in water bath at 37 °C for 1 h. After incubation add 1.6 mL DNS and boil for 5 min. The absorbance was measured at 540 nm by using a spectrophotometer (Multiskan GO, ThermoFisher Scientific, Boston, MA, USA). The boiled enzyme was used as a control. The standard curve was drawn by taking different concentrations of galacturonic acid. The activity of CE and PMG was measured by using the above mentioned procedure except substrate. For PMG and CE 1% pectin added in 50 mM sodium acetate buffer and 1% CMC dissolved in 50 mM citric acid-sodium citrate buffer respectively. Total proteins were determined by coomassie brilliant blue method [34]. Standard solutions of proteins were prepared by Bovine serum mg/mL also used as control without sample (Supplementary Tables S3 and S4).

2.6. Transcriptome Analysis of Wild and Mutant Strain

To explore whole sequence analysis, highly iprodione resistant mutant M0 and its wild type W0 were selected according to their fitness stability. Three biological repeats of wild type and mutant were grown in 100 mL of PDB under 0 µg/mL iprodione treatment grouped as (W0, M0). Similarly, three biological repeats of wild type and mutant were grown in 100 mL of PDB amended with 1 µg/mL iprodione and cultured at 220 rpm for 48 hr at 28 °C in the dark grouped as (W-ipro, M-ipro). After 2 days mycelia of all treatments were collected, washed with double distilled water, frozen in liquid nitrogen and stored in freezer at −80 °C. Untreated wild type (W0), mutant (M0) samples used as a control.
Total RNA was extracted according to the RNA isolation kit (TRIzole reagent, Invitrogen, Carlsbad, California, CA, USA). The purification of RNA was estimated with the Nano Photometer spectrophotometer at 260/280 nm (IMPLEN, California, CA, USA) and integrity was evaluated by assay kit (Nano 6000, California, CA, USA) using Bioanalyzer 2100 system (Agilent Technologies, California, CA, USA). The library generation and RNA sequencing was carried out by staff at I-sanger cloud platform. The further library was prepared by using an NEB-Next Ultra RNA illumina platform [35]. The Illumina platform converts the sequenced image signal to a text signal via CASAVA base calling and stores it in fastq format as raw data. Quality assessment was performed on raw data of each sample including base quality, base error rate and base level distribution statistics to obtain high quality clean reads by using FASTQ for subsequent analysis. The clean reads were mapped into a transcript and compared to a reference genome using Tophat2 alignment software. Some transcripts without annotation to the reference genome were called new transcripts.

Differential Gene Expression

We identified differentially express genes of two phenotypical groups of strains (Mutant and wild type, with or without fungicide) by using DEseq2 [36]. To estimate the gene expression level fragment per Kilobase of exon model per million fragments mapped (FPKM) tool was used. The statistical difference among genes was analyzed using the recommended Benjamini-Hochberg correction method (p-value ≤ 0.05) for controlling the false discovery rate (FDR). Eventually, the fold change (log fold2) and FDR values used as a key indicator the expression amount of different genes among samples and represent a heat map. Functional annotation of genes was performed as described by Wang et al. [14] and Cai et al. [37]. GO enrichment of differential expression of genes was implemented by the GO seq R packages (1.10.1) based on Wallenius’ non-central hyper-geometric distribution. KEGG pathways enrichment statistical analysis was performed by KOBAS software.

2.7. Quantitative Real Time PCR Analysis

For the confirmation of differential gene expression levels attained from the RNA sequencing data analysis, the qRT-PCR investigation was carried out. Total RNA was extracted from mutant and wild type with and without treatment of EC50 concentration of iprodione 1 µg/mL according to the kit instructions (TaKaRa Biotechnol. Co., Ltd., Dalian, China). For the preparation of reverse transcription first Single stranded cDNA was synthesized according to labelled kit instructions (TaKaRa Biotechnol. Co., Ltd., Dalian, China). The expression of seven genes were studied. Moreover, one control gene UBQ used as a reference gene. The primers were designed by using oligo software v7.37 and the specificity was confirmed by blast against B. cinerea. B.010 genome. The sequence of all primers were listed in (Supplementary Table S5). The length of primers fragment were between 19–23 base pair with melting temperature 80 °C. 1 µg RNA of each sample was first treated with RNase Free dHH2O and 4 × gDNA wiper Mix (Nanjing Nuo Weizan Biotechnology Co., Ltd., Nanjing, China) for removal of contaminated DNA in the extract. For the preparation of reverse transcription reaction system, the reaction mixture consisted of template cDNA 2 µL, reverse primer 0.8 µL (5 µM), forward primer 0.8 µL (5 µM) and ChamQ SYBR Color qPCR Master Mix 16.5 µL (TaKaRa Biotechnol. Co., Ltd., Dalian, China) of total volume 20 µL. The qRT-PCR reaction was conducted in a thermal cycler (ABI 7500, Hangzhou Langji Scientific Instruments Co, Ltd., Hangzhou, China) with initial temperature 95 °C for 5 min, 40 cycles include melting at 95 °C for 5 s annealing for 30 s and finally extension at 72 °C for 40 s. Three biological repeats of each treatment were performed with triplicate of each gene reaction vs. reference gene. Then changing in fold expression of different genes of the mutant and wild type was evaluated by using algorithm 2−ΔΔCT value. All qRT-PCR data were analyzed by using Light Cycler® 480 software version 1.5.1 (Roche Diagnostics Corporation, Indianapolis, IN, USA).

2.8. DNA Extraction, Cloning and Sequence Analysis of the Tubulin Genes

For DNA extraction wild type W0 and its mutant M0, mycelium was cultured on potato dextrose broth (PDB) and incubated for 48 h at 28 °C under shaking condition (200 rpm). Mycelia was harvested and washed with sterilized water and ethylenediamine tetra acetic acid (EDTA). The DNA was extracted by cetyl trimethylammonium bromide (CTAB) method [6]. The specific primers β-TUB (F-5′-TGAAGGTATGGACGAGAT-3′) (R-5′-GCATCCTGGTATTGTTGA-3′) under accession number (XM_001560987.1) and α-TUB (F-5′GTTGGAGTTCTGTGTCTA-3′) (R-5′GTGGTCAAGATGGAGTTA-3′) under accession number (XM_001555875.1) were used to amplify the complete coding sequence (CDS) of two Tubulin genes bctubA and bctubB. Three biological replicates of each strain used for DNA extraction and the PCR reactions were conducted three times independently for each sample. The amplified PCR products were purified using a PCR Purification Kit (TIANGEN, Beijing, China), ligated into the pMD18-T Vector (TaKaRa Biotechnol. Co., Ltd., Dalian, China), and then sequenced by Sangon (Guangzhou, China). The exon sequences of the bctubA and bctubB genes were translated into amino acid sequences and aligned using DNAMAN8.0 software (Lynnon Biosoft, Quebec, Canada) to check the mutation point.

2.9. Statistical Data Analysis

All values related sensitivity, osmotic potential, enzymatic activities are mean of three replicates was analyzed using statistical software (DPS version 7.05, Zhejiang, China). The LSD test was used to determine significant differences (α = 0.05). Pearson’s correlation coefficients were calculated to evaluate the correlation of gene expression obtained by RNA-seq and qRT-PCR using Origin 9.0 software (Origin Lab, Newyork, USA). In the SAM method, the delta value was set to obtain an average. A false discovery rate (FDR) of 5% and the fold change cut-off value was established as 1.5. In LIMMA analysis, genes with a fold change >1.5 and p < 0.05 were considered as differentially expressed. Only the genes identified as differentially expressed by both SAM and LIMMA were considered.

3. Results

3.1. Sensitivity of B. cinerea to Iprodione

One hundred and twelve samples of B. cinerea were collected from different locations in tomato production area and tomato fields, Baise City, Guangxi Province, China. The sensitivity of B. cinerea was checked on PDA medium amended with iprodione at 0.01 µg/mL. The inhibition rate of all samples ranged from 7.69–74.35% with an average of 50.70% (Figure 1). The EC50 of iprodione against all samples ranged from 0.07 to 0.87 µg/mL with an average of 0.47 µg/mL, indicating these B. cinerea isolates were susceptible to iprodione. The value of EC50 of all isolates indicated that 0.47 µg/mL was an appropriate threshold concentration to assess iprodione resistance in the consequent experiments. Among them 5 isolates were highly sensitive to EC50 for 0.134 µg/mL iprodione and five isolates were moderately sensitive to EC50 for 0.434 µg/mL iprodione (Supplementary Tables S6–S9).

3.2. In Vitro Iprodione-Induced B. cinerea Mutants

UV radiation is a toxic mutagen and was expected to decrease the viability of the cells but also increase the probability of the emergence of mutants of drug sensitive strains. Five iprodione sensitive isolates of B. cinerea exposed to different concentrations of iprodione fungicide with 20W UV lamp were continuously cultured at 28 °C to induce rapid growth of mutants. The only strain B67 showed two mutants M1 and M0 respectively. The EC50 of these mutants were 674.48 μg/mL and 1025.74 μg/mL, respectively, and 597.63 and 906.94 times than that of wild isolate (EC50 was 1.12 μg/mL). However, other isolates showed higher sensitivity to iprodione and did not produce any mutant used as a control. These two mutants were continuously sub-cultured for 1, 5, 10, and 15 generations on drug free PDA medium for stability test (Supplementary Table S2).

3.3. Morphology and Physiology of Mutants

3.3.1. Iprodione Resistant Mutant’s Mycelium Growth Rate and Sclerotia Formation

The results showed that mycelial growth of wild type on PDA medium is significantly higher than both mutants after 5 days at 28 °C (Figure 2A). Wild type (W0) showed maximum sclerotia formation on PDA after 8 days; in petri dish edges are produced around a small contiguous black sclerotia; did not spread throughout the surface of the medium. M0 produced dark grey to black sclerotia after 12 days and spread over the medium and M1 after 14 days produced sclerotia over the surface of the medium (Figure 2B). The mutant M1 after 10 days began to produce small contiguous black sclerotia circles at the edge of the dish and after 12 days spread on the petri dish. When PDA medium was amended with 100, 500, 600, and 1000 µg/mL iprodione, mutant M0 showed significantly high mycelial growth than M1 and wild type W0 (Figure 2C). Mutant M0 after 12 days began to produce fewer black sclerotia circles at the edge of the dish with 5 µg/mL iprodione containing media. In contrast, wild type failed to produce any (Supplementary Figure S1).

3.3.2. Cell Membrane Permeability Osmotic Sensitivity Pathogenicity and Enzymatic Activity of Mutants and its Wild Type

Cell membrane permeability at four different concentrations (0, 1, 5, 10 µg/mL) of iprodione were measured, the relative rate of infiltration with the extension of the processing time increases and gradually stabilized in M1, indicating that the cell membrane permeability is significantly higher in M1 and wild strain than M0 (Supplementary Figure S2). Whereas, there was a no significant difference in osmotic potential of wild type and its mutants (Supplementary Figure S3). Protein concentration was calculated according to the sample suction photometric method. The remarkably highest protein contents were in W0 (1023.97 µg/mL) than M0 and M1 mutant (941.38, 908.02 µg/mL respectively (Supplementary Table S10). Enzymatic activities of both mutants and wild type were also measured. Although PG and CE activity was higher in M0 than M1 and wild type W0. (Supplementary Table S11). In pathogenicity assays, detached tomato leaves inoculated with both mutants (M0, M1) or wild type strain showed typical symptoms and lesions by W0 and M0, while the only PDA or control plants and M1 remained asymptomatic after 24 h of inoculation (Figure 3). These results showed that mutant M0 pathogenicity and enzymatic activity is more vulnerable than M1.

3.3.3. Cross Resistance

The sensitivity of both B. cinerea mutants (M0, M1) were also determined against tebuconazole and fludioxinil using a discriminatory dose. Both iprodione mutants showed positive cross resistance against these fungicides.

3.4. Transcriptomic Data Analysis of Iprodione-Resistant Mutant and Its Wild Type after Exposed to Iprodione In Vitro

The results revealed that transcriptomic sequencing of twelve iprodine resistant mutant and wild type samples generating 187,062,138 raw reads after the screening and filtration of raw reads, a total of 186,026,964 clean reads were obtained. The percentage nucleotide quality score of more than 20 (Q20) was noted as high as 97.75%, and the percentage of Guanine and Cytosine GC (%) among all nucleotides was obtained as 47.33% (Table 1). According to Illuminia platform, the contrast efficiencies of mapped reads, uniquely mapped reads and multi mapped reads were 95.91%, 0.52%, and 95.2%, respectively, as compared to the reference genome (Table 1). A total number of transcripts was 20,375 and its length varied from 201 to1800 bp with an average 1000 bp (Supplementary Figure S4). On the basis of existing reference genome based assembly is performed by using compare software. To check the presence of novel transcripts, we combined the RNA-seq data of 4 samples with 3 biological repeats to identify novel transcripts, which are not assembled in the database. New transcript is obtained by comparing it with known transcript and further classified into 12 different class codes (Supplementary Figures S5 and S12). Out of 20,375 transcripts, 13,639 complete matches of intron chain, 3574 potentially novel isoforms, 1229 unknown intergenic transcript, and 372 generic exonic overlaps with a reference transcript were obtained during analysis. The raw data is submitted to NCBI under SRA number SRP254522.

3.4.1. Functional Annotation of Transcripts and Unigenes

Almost all transcripts (13,703) and unigenes (11,698) sequences were alligned to the NCBI and annotated at least one of these six databases, Non Reductase (NR), SwissProt, Protein family (Pfam), Gene ontology (GO), Clustre of Orthologous Groups of Proteins (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) (Supplementary Figure S6). The database indicated that maximum transcripts (13,687; 99%) and unigenes (11,685; 99%) were alligned by NR, whereas more than 50% of transcripts and unigenes were aligned to the COG, Pfam, and Swissprot databases. The minimum number of transcripts vs. unigenes was annotated by KEGG 33%. Moreover, 14 transcripts and 12 unigenes remained unannotated (Supplementary Table S13 Excel sheet).

3.4.2. Discovery of New Genes

A total of 1024 new genes were discovered according to the above mentioned six databases. COG annotated 150 new genes in 14 different categories, GO 160 new genes in 19 different compartments (Figure 4), and KEGG 17 in 12 different disciplines. Furthermore, GO database is secondarily classified into three categories, namely molecular functions (47), cellular components (57), and biological processes (56) of new genes were explored. The highest number of new genes were involved in binding, metabolism, and cellular processes. COG annotated a maximum 84 new genes, which were poorly characterized, and 44 genes were involved in the repair, replication, and recombination of RNA. KEGG aligned the highest number of genes in the biosynthesis of the secondary metabolism process.

3.4.3. Differential Genes Expression of Iprodione Resistant Mutant and its Wild Type After Exposure to Iprodione

After obtaining the clean reads, the differential expression of unigenes was analyzed by using software DESeq2. A total of 281 unigenes were expressed in mutant type (M0), including 166 up-regulated and 115 downregulated with or without iprodione treatment. Meanwhile, wild type (W0) showed 99 unigenes expressions in which 85 were up-regulated and 14 downregulated (Table 2).
The analysis showed that mutant and wild type shared 19 DEGs and 262 and 80 unique DEGs were detected in mutant and wild type respectively when exposed to iprodione. Overall, 1897 DEGs were detected after iprodione exposure and 1707 without iprodione between mutant and wild type. Furthermore, M-ipro vs. W-ipr0 and M0 vs. Wo share 1192 common unigenes and 720 unigenes are upregulated in mutant corresponding to wild type after iprodione treatment (Supplementary Figure S7). These results demonstrated that the DEGs pattern significantly changed in mutant and wild type with or without iprodione exposure, suggesting that some compounds may be specific to produce resistance in mutants against iprodione treatment.To understand the mechanism of resistance in B cinerea against iprodione, the gene function, expression level, and expression difference were analyzed in gene set analysis. Genes of the same function were located on one transcript, particularly within the three loci easy to annotate by gene ontology (GO) rather than those situated on different transcripts. The genes related to metabolic process, localization, ATP binding, transmembrane transport antibiotic activity, and the cellular process were most abundant in mutant type (M-ipro vs. M0) relative to wild type (W-ipro vs. W0) (Figure 5).
To elucidate the difference between mutant and wild type, the expression pattern of four treatments were divided into a hierrachial clustering analysis (Supplementary Figure S8). Out of 1912 genes, we focused our attention on highly expressed genes in M-ipro that were more or less related to iprodione resistance and assembled them into 12 small clusters according to their functions (Figure 6). In clusture I, MFO (multifunctional genes) were analyzed (BCIN_06g07150, BCIN_09g01190, BCIN_07g01720, BCIN_02g04800, Bcape1) highly expressed in M-ipro and involved in molecular and biological functions of B. cinerea. Among the five genes of aspartic proteinase family (bcap1, bcap4, bcap6, bcap8, bcap10), only bcap8 log2 value was significantly high in M-ipro, while the remaining genes did not show any significant difference in both mutant and wild type with or without iprodione treatment. In cluster II genes, set ABC transporter genes (BcatrD, Bcbfr1) were highly expressed in mutant type M-ipro than M0 and downregulated in wild type (W-ipro, W0). Various cytochrome p450 coding genes were expressed in a comprehensive data base and assembled in cluster III. Almost all genes were depressed in wild type (W-ipro, W0). BccpoA90, Bccyp51, and BCIN_15g04350 expression was high in M0 and M-ipro (Figure 6) except BCIN_02g00240. Genes that were involved in amino acid metabolism exhibited high variability among mutant (M-ipro, M0) and wild type (W1, W0). Cluster IV has transmembrane transporter genes which were also expressed in both wild and mutant type. Only BCIN_14g04470 and BCIN_12g02430 were highly downregulated in W-ipro and W0 and upregulated in M0 and M-ipro.
In contrast, many more genes had no significant difference among all treatments (Supplementary Table S14 Excel sheet). Moreover, the maximum high expression was detected in carbohydrate metabolism, glycosyl family, polyglacturose family and cellulose related genes attributed in cluster VI. BCIN_02g04690 log fold 2 values significantly high in M0 and low in W0 related to carbohydrate binding. In cluster VII several genes were upregulated belongs to zinc finger proteins in mutant type (M-ipro, M0). Intriguingly BCIN_10g0230, BCIN_09g00280, and BCIN_14g04850 genes were highly upregulated in M0 rather than M-ipro and downregulated in wild type (W-ipro, W0). Drug sensitive proteins were highly downregulated in wild type after exposure to iprodione pooled in cluster VIII. BCIN_15g04850 and BCIN_13g05140, highly upregulated in mutant without iprodione treatment instead of its application (Figure 6). Glutathione-S transferase encoding genes, i.e., GSt enzymes play an important role to detoxify the chemicals. BCIN_08g01800 gene regulating glutathione enzyme was more expressed in mutant without iprodione application than wild type. Clusture X, XI represents the lysophospholipase and super family genes (MFS). Two sugar transporter genes (BCIN_09g04610, BCIN_14g01090) of super family upregulated after exposure to iprodione fungicide in the resistant mutant. BCIN_13g03170 lysophospholipase gene expression log fold 2 value was −0.629 in W0, showed decrease −1.072 in W-ipro while expression level was increased in mutant after exposure to iprodione (Table 3). On the basis of these results, the presence of resistance in mutant strain may not be due to particular resistant gene against chemical or inactivation of enzymes and metabolic process. These data base also suggested that synergistic and combination of several genes belong to different functions or families generate resistance in mutants against a particular drug or multi drugs.

3.5. qRT-PCR Amplification of Some Specific Genes

In order to verify the transcriptomic analysis of mutant and wild type B. cinerea, a total of eight highly expressed encoding genes of lysophospholipase (BCIN_13g03170), drug sensitivity (BCIN_04g01200), cytochrome p450 (Bccyp51), cellulase (BCIN_12g06630), glutathione-S- transferase (BCIN_08g01800), oxaloacetate acetyl hydrolase (bcoah), cellulase (BCIN_12g06630), glycosyl family (BCIN_12g01530), and reference gene UBQ have been selected for expression analysis of RT-qPCR. Among these genes gluthathione-S transferase gene (BCIN_18g01800) highly upregulated in mutant type with or without iprodione application (Figure 7C). Moreover, two lysophopholipase genes (BCIN_13g01370, bcoah) expression in the mutant (M-ipro) were highly upregulated as compared to M0 and wild type (W-ipro, W0) (Figure 7A,B). The drug sensitivity and cytochrome familyP450 genes (Bccyp51, BCIN_14g01200) were downregulated in wild type after iprodione treatment (Figure 7E,F). The cellulase gene (BCIN_08g01800) was highly expressed in all treatments (Figure 7G).

3.6. Detection of Mutations in Tubulin Genes in Iprodione Mutants

Genome sequencing of wild type (W0) and its mutant (M0) showed two tubulin genes encoding bctubA and bctubB. The coding region of bctubA had 1985 nucleotides encoding 661 amino acids, which was 65% match with bctubA B05.10 strain of B. cinerea (Gene Bank accession number: XP_024546500.1). While the coding region of bctubB gene had 1919 nucleotides encoding 639 aminoacids was match with bctubB (B. cinerea B05.10) (GeneBank accession number: XP_024546928.1). The bctubA gene in mutant (M0) replaced TTC and GAT codon at position 593 and 599 by TTA and GAA, resulting in replacement of phenyl alanine into leucine (transversion C/A) and aspartic acid into glutamic acid (transversion T/C) respectively. Whereas, in bctubB gene GAT codon at position 646 replaced by AAT and aspartic acid converted into asparagine (transition G/A).(Figure 8) No point mutation was found in wild type as compared to control (B. cinerea B05.10 strain).

4. Discussion

Fungicide resistance in different pathogens has been a major problem in crop protection worldwide in two decades. The extensive use of fungicides to control pathogens in same area for several seasons creating this problem; as a result the efficacy of fungicides decreasing and resistance induced into the pathogens against a specific or multiple fungicides is increasing. Therefore, it is necessary to evaluate the resistance risk in the lab before new fungicides are widely practice into the field. In Guangxi province, grey mould, caused by the fungal pathogen B. cinerea, is one of the most devastating tomato diseases, and the control of this disease is mainly by the application of chemicals. In the present study, 112 isolates of B. cinerea collected from major tomato production area of Guangxi province, China and screened with different concentrations of iprodione and found that toxicity steadily increased in mutants. This is considered as the first report to assess iprodione sensitivity of B. cinerea collected from Guangxi Province China. Previously sensitive isolates of B. cinerea on tomato were detected in Germany [38]. All strains were sensitive to iprodione from 0.07 to 0.87 µg/mL with an average of 0.47 µg/mL. These results are similar to B. cinerea collected from strawberry, a procymidone and zoxamide sensitive strain from Hubei province having EC50 value of 0.25 µg/mL and 0.360 µg/mL, respectively [22]. No 100% sensitive strain was discovered in our collected samples because iprodione is a site specific fungicide with high efficacy, less toxicity and lower application rate. The high dozes or sustained application of fungicides leads to put selection pressure to develop fungicide resistance [39]. In order to solve this problem, there was an urgent need to develop effective resistance management strategies.
High frequencies of B. cinerea resistant isolates have been recorded not only iprodione but also to various groups of fungicides including DC, MBC, and PP across the globe [40,41,42]. Although field resistant mutants of iprodione was documented in Northeatern part (21%), Henan (8%), and also in Anhuai (5%) of China [18,43]. This study was showed low frequency of resistant mutants as compared to the previous one, but with the passage of time resistance level will increase with rapid and continuous application of DC’s fungicides. In the present work, UV irradiation used to detect specific iprodione resistant mutants to assess the risk from emergence strain. After stability and sensitivity testing the EC50 of UV mutants (M0, M1) exceeded 1 µg/mL which was higher 1025.74 μg/mL and 674.48 μg/mL respectively than corresponding wild strain (W0). The cell membrane permeability was significantly increased in M1 and wild type than M0 which indicate M0 is more stable. In contrast CE and PG enzyme activity were higher in M0. Polygalactronase family genes (Bcpgx1 and Bcpg3) involved in pathogenicity expression were higher in M-ipro than wild type. These findings were distinction with the Guo et al. [44] found that resistant strains when continuously dealt with fungicides, pathogens lose its potential and viability resulted in failure of infection. The virulence of M0 like as wild type while M1 results supported the previous findings of Chen et al. [45] mutant strain of Verticillium dahliae lose its pathogenicity by the repressed of cytochrome p450 gene expression. Comparative genomic studies have been frequently conducted to understand the expression of selected genes against different chemicals. However, inadequate information is available due to a lack of whole genomic sequencing (RNA seq data) and suitable methodologies for comparative transcriptome. In recent studies, transcriptome analysis has been widely applied on fungicidal resistant plant pathogens, including Fusarium spp. [40], B. cinerea [37], and Penecillium didgitatum [46]. According to our transcriptome analysis the expression of lysophospholipase genes, transmembrane transporter genes, MF (multifunctional genes), MFS (super family genes) encoding, amino acid and carbohydrate metabolism genes were clearly upregulated in field mutant (M0, M-ipro) than wild type (W0, W-ipro) with or without application of iprodione (Supplementary Table S15 Excel sheet). Many microorganisms produce phospholipases heterogeneous groups of enzymes, either secreted or induced intracellularly by physical disruption of the cellular membrane [47]. Among them lysophospholipases are key enzymes that hydrolyze the esters linkages in glycephosopholipids and contribute to detoxification of potentially cellular lysophospholipids that facilitate the survival of fungi in vivo, cell wall integrity, proliferation expression of virulence, fungal cell signaling and immunomodulatory pathways [48]. Here, the expression of lysophopholipase genes (BCIN_13g03170, BCIN_02g08890) were superiorly upregulated in M-ipro vs. W-ipro than M0 vs. W0 (Figure 7) contribute to iprodione resistance. BCIN_02g08890 is highly upregulated in mutant strain with or without fungicide and absent in wild type.
Plant cell wall mainly composed of polysaccharides with less amount of glycoproteins esters, mineral contents, phenolic compounds and enzymes [49]. The predominant polysaccharides are cellulose, hemicellulose galacto (mannans, xylans, and xyloglucans), and pectin. Carbohydrate-degrading enzymes of pathogens constitute a key factor involved in the metabolic breakdown of glycoconjugates, oligosaccharides, and polysaccharides of host plant cell wall components during infection or invasion [50]. Cell wall degrading enzymes are abundantly found in B. cinerea [51]. Recent studies revealed that cellulase, xylanase, and pectinase (glucanase) enzymes functioned as a virulence factor in phytopathogens and were recognized as PAMPS by plants to trigger the PTI responses, during host plant–pathogen interactions [52].
In this study, we analyzed the enzymatic activity of cellulase, polygalactrose, and polymethylgalactrose in mutant and wild type B.cinerea. Enzymatic assays and gene expressions of cellulase (BCIN_12g06630, BCIN_16g03020) and xylanase A (BCIN_03g03480, Bcxyn11A) were more upregulated in mutant than wild type (Figure 7). Cellulase catalyzes the degradation of the β-1,4- glycosidic bonds in cellulose [53]. Cellulase is an elicitor in plant–pathogen interactions but its enzymatic activity is independent of its elicitor. In contrast, it was previously reported that xylanase activity promotes the necrotic infection of B. cinerea into plant tissues [54]. Bcxyn11A, an endo-β-1,4-xylanase degrades plant cell wall xylan contents, and is required for successful infection. Furthermore, a small nanogram of xyn A was sufficient as an elicitor in S.lycopersci and N. benthamiana [55]. In contrast, not all fungal xylanases have been conclusively involved in pathogenicity and virulence [51]. The B. cinerea equipped with different patterns of endopolygalactrase (Bcpg) genes and exopolygalactrase (Bcpgx) genes to degrade pectate machinery of host cell. In the current study, the expression of Bcpg2 and Bcpgx1 genes were highly upregulated in (M-ipro vs. W-ipro) and there is no change in Bcpg1 and Bcpg4 in all treatments. Bcpg2 is a necessary gene during primary infection and lesion expansion in tomato [56]. A major result of our work is reported that there is no diversification in virulence genes of mutant and wild type before and after iprodione application. B. cinerea secretes several genes of the aspartic proteinase (AP) family to perform proteolytic activity. A functional analysis of our results showed that there is no change in the expression of Bcap genes of wild and mutant type after iprodione application (Figure 6). No significant difference was found in Bcap1-5 genes mutants and the wild type strain of B05.10.
The resistance of fungi is sturdily associated with multiple mechanisms, including (1) the nonsynonyms mutation in the target protein encoding genes, (2) the upregulation of the target proteins, and (3) the overexpression of transporting and membrane encoding genes. Fungal efflux pumps such as cytochrome P450 are the most versatile natural bio-catalyst genes and constitute a large superfamily related to the detoxification of fungicides, insecticides, and xenobiotics under mild conditions [57,58].
The mechanism of resistance to iprodione was associated with point mutations in the tubulin gene that changes the structure of the fungicide binding site to decrease sensitivity according to Grabake et al. [28]. According to the genome sequencing information, two tubulin genes showed mutation. A point mutation at codons 593 (A198E) and 599 (F200Y) in bctubA gene and at 646 codon (R216C) in bctubB were detected from resistant strain M0, and a similar mutation was reported in a field isolate of B. cinerea resistant to benzimidazole that had a mutation at points A198E and F200Y [59]. A novel point mutation at codon 646 (R216C) was detected in bctubB in mutant (M0). Contrarily, point mutation variations at single codon I365S/N/R of the Bos1 gene were responsible for dicarboximide (iprodione) low resistance, as reported from France, England, Israel, Japan, New Zealand, Italy, Switzerland, and the United States. Iprodione reduced DNA, RNA synthesis in the germinating fungal spore and inhibited the enzymatic acivity of NADH cytochrome c reductase, thereby preventing lipid and membrane synthesis and ultimately mycelium growth [60]. Wang et al. [14] reported that the resistance in B. cinerea to fenhexamid mainly relied on the mutation of BCIN_16062 encoding P450 gene. In a hypersensitive strain of Candidas albicans, CaALK8 gene was promoted and confers multidrug resistance [61]. The expression of BCIN_01g03510 and BCIN_13g05140 were upregulated in mutant (M0) relative to wild type (W0, W-ipro) (Figure 6). Glutathione S- transferases are multifunctional detoxification enzymes that regulate the cell functions, countering oxidative stress and signal transduction with several resistance mechanisms [62,63]. Our findings revealed that BCIN _08g01800 was highly downregulated in wild type (W1-ipro) after iprodione application while other genes showed similar expression. Remarkably, transmembrane proteins in fungal efflux systems (ABC and MFS transporter genes) have been reported to provide protection for fungal cells against antibiotics and fungicides found in the environment [64]. Furthermore, these transporters determine the baseline of sensitivity or resistance to fungicides [65]. Several genes encoding transmembrane transporters were identified from the RNA sequencing data (Figure 6). Most of them showed higher expression in mutant strain than wild type. Particularly, two MFS encoding genes Bcstl1 and BCIN_08g01780 were highly upregulated in mutant (M-ipro) after iprodione treatment than M0 and wild type (W-ipro, W0). Intriguingly, BCIN_14g01090 gene logfold2 value were intensely upregulated before and after iprodione application in mutant (M-ipro, M0) and downregulated in (W-ipro, W0). The high expression of drug efflux transporter has been reported in different isolates of B. cinerea against different classes of fungicides [66,67]. On the other hand, Grabke et al. [17] reported the overexpression of MFS encoding genes of B. cinerea conferring a low level of resistance to iprodione in strawberry. Contrarily, MFS genes contributed to resistance in Fusarium spp against prochloraz and carbendazim fungicides [40,46]. Likewise, BCIN_14g04470 and BCIN_12g02430 in fungal efflux were highly upregulated in mutant strain (M0) relative to wild type (W0).

5. Conclusions

The risk of resistance selection in B. cinerea due to the extensive application of DCs (iprodione) may be a severe problem in Guangxi Province China. In the current study, the results showed that B. cinerea isolates were sensitive to iprodione The laboratory UV induced resistant mutants were obtained through continuous iprodione treatment, which indicated that B. cinerea quickly adopt resistance to iprodione. The resistant mutant demonstrated an EC50 value 1025.74 μg/mL higher than curative dosage. The resistant mutant had a high level of fitness (mycelial growth, sclerotia formation and aggressiveness) as compared to sensitive isolates. We identified two mutation points at codon 593 (A198E) and 599 (F200Y) in the bctubA gene, including one novel point mutation in bctubB gene at position 646 codon. Our research work also provided a comprehensive molecular mechanism involved in the B. cinerea resistant mutant. By analyzing RNA sequencing data for wild type and mutant with or without iprodione application, genes related to iprodione resistance were highlighted and identified. These DEGs were involved in the production of detoxification enzymes, metabolism, catalytic activity, MAPK signaling pathway, drug efflux, and transporter functions to resist the chemicals. Resistant management strategies should be implemented to delay the spread of iprodione resistant mutants in the field. Furthermore, integrated disease management strategies should be practiced followed, including the use of biological control and agricultural practices.

Supplementary Materials

The following are available online at https://www.mdpi.com/1422-0067/21/14/4865/s1.

Author Contributions

Conceptualization, A.M., C.W., and H.W.; methodology, A.M.; software, A.M.; validation, S.A., C.W., and A.M.; formal analysis, A.M., C.W., and S.A.; investigation, A.M. and H.W.; resources, H.W.; data curation, A.M. and S.A.; writing—original draft preparation, A.M.; writing—review and editing, A.M., C.W., S.A., and H.W.; supervision, H.W. All authors have read and agreed to the published version of the manuscript.

Funding

We express our sincere gratitude to Guangxi Innovation Team of National Modern Agricultural Technology System (nycytxgxcxtd-10-04), the National Natural Science Foundation of China (31660511), Construction project of characteristic specialty and experimental training teaching base (Center)—Characteristic specialty—Plant Protection (2018–2020).

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationship that could be construed as a potential conflict of interest.

References

  1. Williamson, B.; Tudzynski, B.; Tudzynski, P.; van Kan, J.A. Botrytis cinerea: The cause of grey mould disease. Mol. Plant Pathol. 2007, 8, 561–580. [Google Scholar] [CrossRef] [PubMed]
  2. Dean, R.; Van Kan, J.A.; Pretorius, Z.A.; Hammond-Kosack, K.E.; Di Pietro, A.; Spanu, P.D.; Rudd, J.J.; Dickman, M.; Kahmann, R.; Ellis, J. The Top 10 fungal pathogens in molecular plant pathology. Mol. Plant Pathol. 2012, 13, 414–430. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Hua, L.; Yong, C.; Zhanquan, Z.; Boqiang, L.; Guozheng, Q.; Shiping, T. Pathogenic mechanisms and control strategies of Botrytis cinerea causing post-harvest decay in fruits and vegetables. Food Qual. Saf. 2018, 2, 111–119. [Google Scholar] [CrossRef] [Green Version]
  4. Amselem, J.; Cuomo, C.A.; Van Kan, J.A.; Viaud, M.; Benito, E.P.; Couloux, A.; Coutinho, P.M.; de Vries, R.P.; Dyer, P.S.; Fillinger, S. Genomic analysis of the necrotrophic fungal pathogens Sclerotinia sclerotiorum and Botrytis cinerea. PLoS Genet. 2011, 7, e1002230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Tiedemann, B.; Have, A.; Hansen, M.E.; Tenberge, K. Infection Strategies of Botrytis cinerea and related necrotrophic pathogens. Fungal Pathol. 2013, 33–64. [Google Scholar]
  6. Maqsood, A.; Rehman, A.; Ahmad, I.; Nafees, M.; Ashraf, I.; Qureshi, R.; Jamil, M.; Rafay, M.; Hussain, T. Physiological attributes of fungi associated with stem end rot of mango (Mangifera indica L.) cultivars in postharvest fruit losses. Pak. J. Bot. 2014, 46, 1915–1920. [Google Scholar]
  7. Munhuweyi, K.; Lennox, C.L.; Meitz-Hopkins, J.C.; Caleb, O.J.; Opara, U.L. Major diseases of pomegranate (Punica granatum L.), their causes and management—A review. Sci. Horticult. 2016, 211, 126–139. [Google Scholar] [CrossRef]
  8. Tsitsigiannis, D.I.; Antoniou, P.P.; Tjamos, S.E.; Paplomatas, E.J. Major diseases of tomato, pepper and egg plant in green houses. Eur. J. Plant Sci. Biotechnol. 2008, 2, 106–124. [Google Scholar]
  9. Leroux, P.; Fritz, R.; Debieu, D.; Albertini, C.; Lanen, C.; Bach, J.; Gredt, M.; Chapeland, F. Mechanisms of resistance to fungicides in field strains of Botrytis cinerea. Pest Manag. Sci. 2002, 58, 876–888. [Google Scholar] [CrossRef]
  10. Xiang, F.; Han, Y.; Zeng, X.; Gu, Y.; Chen, F. The development situation and prospect of strawberry industry in western Hubei mountain districts. Hubei Agric. Sci. 2015, 54, 5930–5932. [Google Scholar]
  11. Rosslenbroich, H.J.; Stuebler, D. Botrytis cinerea—History of chemical control and novel fungicides for its management. Crop Prot. 2000, 19, 557–561. [Google Scholar] [CrossRef]
  12. Leroux, P. Chemical control of Botrytis and its resistance to chemical fungicides. In Botrytis: Biology, Pathology and Control; Springer: Berlin, Germany, 2007; pp. 195–222. [Google Scholar]
  13. Kroes, R.; Galli, C.; Munro, I.; Schilter, B.; Tran, L.A.; Walker, R.; Würtzen, G. Threshold of toxicological concern for chemical substances present in the diet: A practical tool for assessing the need for toxicity testing. Food Chem. Toxicol. 2000, 38, 255–312. [Google Scholar] [CrossRef]
  14. Wang, X.; Gong, C.; Zhao, Y.; Shen, L. Transcriptome and resistance-related genes analysis of Botrytis cinerea B05. 10 strain to different selective pressures of cyprodinil and fenhexamid. Front. Microbiol. 2018, 9, 2591. [Google Scholar] [CrossRef] [PubMed]
  15. Hirooka, T.; Ishii, H. Chemical control of plant diseases. J. Gen. Plant Pathol. 2013, 79, 390–401. [Google Scholar] [CrossRef]
  16. Fernandez-Cornejo, J.; Nehring, R.F.; Osteen, C.; Wechsler, S.; Martin, A.; Vialou, A. Pesticide use in US agriculture: 21 selected crops, 1960–2008. USDA-ERS Econ. Inf. Bull. 2014, 124. [Google Scholar] [CrossRef] [Green Version]
  17. Grabke, A.; Fernández-Ortuño, D.; Amiri, A.; Li, X.; Peres, N.A.; Smith, P.; Schnabel, G. Characterization of iprodione resistance in Botrytis cinerea from strawberry and blackberry. Phytopathology 2014, 104, 396–402. [Google Scholar] [CrossRef] [Green Version]
  18. Hamada, M.S.; Yin, Y.; Ma, Z. Sensitivity to iprodione, difenoconazole and fludioxonil of Rhizoctonia cerealis isolates collected from wheat in China. Crop Prot. 2011, 30, 1028–1033. [Google Scholar] [CrossRef]
  19. Ma, Z.; Luo, Y.; Michailides, T.J. Resistance of Botryosphaeria dothidea from pistachio to iprodione. Plant Dis. 2001, 85, 183–188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Ma, Z.; Michailides, T.J. Characterization of iprodione-resistant Alternaria isolates from pistachio in California. Pestic. Biochem. Physiol. 2004, 80, 75–84. [Google Scholar] [CrossRef]
  21. Adnan, M.; Hamada, M.; Li, G.; Luo, C. Detection and molecular characterization of resistance to the dicarboximide and benzamide fungicides in Botrytis cinerea from tomato in Hubei Province, China. Plant Dis. 2018, 102, 1299–1306. [Google Scholar] [CrossRef] [Green Version]
  22. Adnan, M.; Hamada, M.S.; Hahn, M.; Li, G.Q.; Luo, C.X. Fungicide resistance of Botrytis cinerea from strawberry to procymidone and zoxamide in Hubei, China. Phytopathol. Res. 2019, 1, 17. [Google Scholar] [CrossRef]
  23. Sun, H.Y.; Wang, H.C.; Chen, Y.; Li, H.X.; Chen, C.J.; Zhou, M.G. Multiple resistance of Botrytis cinerea from vegetable crops to carbendazim, diethofencarb, procymidone, and pyrimethanil in China. Plant Dis. 2010, 94, 551–556. [Google Scholar] [CrossRef] [Green Version]
  24. Ma, Z.; Yan, L.; Luo, Y.; Michailides, T.J. Sequence variation in the two-component histidine kinase gene of Botrytis cinerea associated with resistance to dicarboximide fungicides. Pestic. Biochem. Physiol. 2007, 88, 300–306. [Google Scholar] [CrossRef]
  25. Marschall, R.; Schumacher, J.; Siegmund, U.; Tudzynski, P. Chasing stress signals–exposure to extracellular stimuli differentially affects the redox state of cell compartments in the wild type and signaling mutants of Botrytis cinerea. Fungal Genet. Biol. 2016, 90, 12–22. [Google Scholar] [CrossRef] [PubMed]
  26. Avenot, H.F.; Quattrini, J.; Puckett, R.; Michailides, T.J. Different levels of resistance to cyprodinil and iprodione and lack of fludioxonil resistance in Botrytis cinerea isolates collected from pistachio, grape, and pomegranate fields in California. Crop Prot. 2018, 112, 274–281. [Google Scholar] [CrossRef]
  27. Panebianco, A.; Castello, I.; Cirvilleri, G.; Perrone, G.; Epifani, F.; Ferrara, M.; Polizzi, G.; Walters, D.R.; Vitale, A. Detection of Botrytis cinerea field isolates with multiple fungicide resistance from table grape in Sicily. Crop Prot. 2015, 77, 65–73. [Google Scholar] [CrossRef]
  28. Marie, C.; White, T.C. Genetic basis of antifungal drug resistance. Curr. Fungal Infect. Rep. 2009, 3, 163–169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Maqsood, A.; Wu, H.; Kamran, M.; Altaf, H.; Mustafa, A.; Ahmar, S.; Hong, N.T.T.; Tariq, K.; He, Q.; Chen, J.T. Variations in growth, physiology, and antioxidative defense responses of two tomato (Solanum lycopersicum L.) cultivars after co-infection of Fusarium oxysporum and Meloidogyne incognita. Agronomy 2020, 10, 159. [Google Scholar] [CrossRef] [Green Version]
  30. Fernández-Ortuño, D.; Pérez-García, A.; Chamorro, M.; de la Peña, E.; de Vicente, A.; Torés, J.A. Resistance to the SDHI fungicides boscalid, fluopyram, fluxapyroxad, and penthiopyrad in Botrytis cinerea from commercial strawberry fields in Spain. Plant Dis. 2017, 101, 1306–1313. [Google Scholar] [CrossRef] [Green Version]
  31. Luo, B.; Young, V.G., Jr.; Gladfelter, W.L. Si-C bond cleavage in the reaction of gallium chloride with lithium bis (trimethylsilyl) amide and thermolysis of base adducts of dichloro (trimethylsilyl) amido gallium compounds. J. Organomet. Chem. 2002, 649, 268–275. [Google Scholar] [CrossRef]
  32. Fan, H.; Yu, G.; Liu, Y.; Zhang, X.; Liu, J.; Zhang, Y.; Rollins, J.A.; Sun, F.; Pan, H. An atypical forkhead-containing transcription factor SsFKH1 is involved in sclerotial formation and is essential for pathogenicity in Sclerotinia sclerotiorum. Mol. Plant Pathol. 2017, 18, 963–975. [Google Scholar] [CrossRef] [PubMed]
  33. Jiang, M.; Cao, Y.; Guo, Z.F.; Chen, M.; Chen, X.; Guo, Z. Menaquinone biosynthesis in Escherichia coli: Identification of 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate as a novel intermediate and re-evaluation of MenD activity. Biochemistry 2007, 46, 10979–10989. [Google Scholar] [CrossRef] [PubMed]
  34. Georgiou, C.; Grintzalis, K.; Zervoudakis, G.; Papapostolou, I. Mechanism of coomassie brilliant blue G-250 binding to proteins: A hydrophobic assay for nanogram quantities of proteins. Anal. Bioanal. Chem. 2008, 391, 391–403. [Google Scholar] [CrossRef] [PubMed]
  35. Yang, L.; Xu, Y.; Zhang, R.; Wang, X.; Yang, C. Comprehensive transcriptome profiling of soybean leaves in response to simulated acid rain. Ecotoxicol. Environ. Saf. 2018, 158, 18–27. [Google Scholar] [CrossRef]
  36. Feng, J.; Meyer, C.A.; Wang, Q.; Liu, J.S.; Shirley Liu, X.; Zhang, Y. GFOLD: A generalized fold change for ranking differentially expressed genes from RNA-seq data. Bioinformatics 2012, 28, 2782–2788. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Cai, N.; Liu, C.; Feng, Z.; Li, X.; Qi, Z.; Ji, M.; Qin, P.; Ahmed, W.; Cui, Z. Design, synthesis, and SAR of novel 2-glycinamide cyclohexyl sulfonamide derivatives against Botrytis cinerea. Molecules 2018, 23, 740. [Google Scholar] [CrossRef] [Green Version]
  38. Leroch, M.; Kretschmer, M.; Hahn, M. Fungicide resistance phenotypes of Botrytis cinerea isolates from commercial vineyards in South West Germany. J. Phytopathol. 2011, 159, 63–65. [Google Scholar] [CrossRef]
  39. Beckerman, J.L.; Sundin, G.W.; Rosenberger, D.A. Do some IPM concepts contribute to the development of fungicide resistance? Lessons learned from the apple scab pathosystem in the United States. Pest Manag. Sci. 2015, 71, 331–342. [Google Scholar] [CrossRef]
  40. Xu, S.; Wang, J.; Wang, H.; Bao, Y.; Li, Y.; Govindaraju, M.; Yao, W.; Chen, B.; Zhang, M. Molecular characterization of carbendazim resistance of Fusarium species complex that causes sugarcane pokkah boeng disease. BMC Genom. 2019, 20, 115. [Google Scholar] [CrossRef]
  41. Cai, M.; Lin, D.; Chen, L.; Bi, Y.; Xiao, L.; Liu, X.L. M233I mutation in the β-tubulin of Botrytis cinerea confers resistance to zoxamide. Sci. Rep. 2015, 5, 16881. [Google Scholar] [CrossRef] [Green Version]
  42. Veloukas, T.; Kalogeropoulou, P.; Markoglou, A.; Karaoglanidis, G. Fitness and competitive ability of Botrytis cinerea field isolates with dual resistance to SDHI and QoI fungicides, associated with several sdh B and the cyt b G143A mutations. Phytopathology 2014, 104, 347–356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Lu, X.H.; Jiao, X.L.; Hao, J.J.; Chen, A.J.; Gao, W.W. Characterization of resistance to multiple fungicides in Botrytis cinerea populations from Asian ginseng in northeastern China. Eur. J. Plant Pathol. 2016, 144, 467–476. [Google Scholar] [CrossRef]
  44. Guo, L.N.; Xiao, M.; Cao, B.; Qu, F.; Zhan, Y.L.; Hu, Y.J.; Wang, X.R.; Liang, G.W.; Gu, H.T.; Qi, J. Epidemiology and antifungal susceptibilities of yeast isolates causing invasive infections across urban Beijing, China. Future Microbiol. 2017, 12, 1075–1086. [Google Scholar] [CrossRef]
  45. Chen, J.Y.; Xiao, H.L.; Gui, Y.J.; Zhang, D.D.; Li, L.; Bao, Y.M.; Dai, X.F. Characterization of the Verticillium dahliae exoproteome involves in pathogenicity from cotton-containing medium. Front. Microbiol. 2016, 7, 1709. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Liu, J.; Wang, S.; Qin, T.; Li, N.; Niu, Y.; Li, D.; Yuan, Y.; Geng, H.; Xiong, L.; Liu, D. Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms. BMC Genom. 2015, 16, 855. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Djordjevic, J. Role of phospholipases in fungal fitness, pathogenicity, and drug development–lessons from Cryptococcus neoformans. Front. Microbiol. 2010, 1, 125. [Google Scholar] [CrossRef] [Green Version]
  48. Gilbert, N.M.; Donlin, M.J.; Gerik, K.J.; Specht, C.A.; Djordjevic, J.T.; Wilson, C.F.; Sorrell, T.C.; Lodge, J.K. KRE genes are required for β-1, 6-glucan synthesis, maintenance of capsule architecture and cell wall protein anchoring in Cryptococcus neoformans. Mol. Microbiol. 2010, 76, 517–534. [Google Scholar] [CrossRef] [Green Version]
  49. Luczaj, J.; Leavitt, S.; Csank, A.; Panyushkina, I.; Wright, W. Comment on “Non-Mineralized Fossil Wood” by George E. Mustoe (Geosciences, 2018). Geosciences 2018, 8, 462. [Google Scholar] [CrossRef] [Green Version]
  50. Zerillo, M.M.; Adhikari, B.N.; Hamilton, J.P.; Buell, C.R.; Lévesque, C.A.; Tisserat, N. Carbohydrate-active enzymes in Pythium and their role in plant cell wall and storage polysaccharide degradation. PLoS ONE 2013, 8, e72572. [Google Scholar] [CrossRef]
  51. Yang, Y.; Yang, X.; Dong, Y.; Qiu, D. The Botrytis cinerea xylanase BcXyl1 modulates plant immunity. Front. Microbiol. 2018, 9, 2535. [Google Scholar] [CrossRef] [Green Version]
  52. Tang, D.; Wang, G.; Zhou, J.M. Receptor kinases in plant-pathogen interactions: More than pattern recognition. Plant Cell 2017, 29, 618–637. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Ma, Y.; Han, C.; Chen, J.; Li, H.; He, K.; Liu, A.; Li, D. Fungal cellulase is an elicitor but its enzymatic activity is not required for its elicitor activity. Mol. Plant Pathol. 2015, 16, 14–26. [Google Scholar] [CrossRef] [PubMed]
  54. Noda, J.; Brito, N.; González, C. The Botrytis cinerea xylanase Xyn11A contributes to virulence with its necrotizing activity, not with its catalytic activity. BMC Plant Biol. 2010, 10, 38. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Brito, N.; Espino, J.J.; González, C. The endo-β-1, 4-xylanase Xyn11A is required for virulence in Botrytis cinerea. Mol. Plant-Microbe Interact. 2006, 19, 25–32. [Google Scholar] [CrossRef] [Green Version]
  56. Zhang, L.; Van Kan, J.A. Botrytis cinerea mutants deficient in D-galacturonic acid catabolism have a perturbed virulence on Nicotiana benthamiana and Arabidopsis, but not on tomato. Mol. Plant Pathol. 2013, 14, 19–29. [Google Scholar] [CrossRef]
  57. Črešnar, B.; Petrič, Š. Cytochrome P450 enzymes in the fungal kingdom. BBA Proteins Proteom. 2011, 1814, 29–35. [Google Scholar] [CrossRef]
  58. Durairaj, P.; Hur, J.S.; Yun, H. Versatile biocatalysis of fungal cytochrome P450 monooxygenases. Microb. Cell Fact. 2016, 15, 125. [Google Scholar] [CrossRef] [Green Version]
  59. Muñoz, C.; Talquenca, S.G.; Volpe, M.L. Tetra primer ARMS-PCR for identification of SNP in β-tubulin of Botrytis cinerea, responsible of resistance to benzimidazole. J. Microbiol. Methods 2009, 78, 245–246. [Google Scholar] [CrossRef]
  60. Sameer, W.M. Control of the root rot diseases of wheat using fungicides alone and in combinations with selenium. Al-Azhar Bull. Sci. 2018, 29, 27–37. [Google Scholar]
  61. Lata Panwar, S.; Krishnamurthy, S.; Gupta, V.; Alarco, A.M.; Raymond, M.; Sanglard, D.; Prasad, R. CaALK8, an alkane assimilating cytochrome P450, confers multidrug resistance when expressed in a hypersensitive strain of Candida albicans. Yeast 2001, 18, 1117–1129. [Google Scholar] [CrossRef]
  62. Alias, Z. The role of glutathione transferases in the development of insecticide resistance. Insectic. Resist. 2016, 315. [Google Scholar] [CrossRef] [Green Version]
  63. Kolawole, A.O.; Ajele, J.O.; Sirdeshmuhk, R. Studies on glutathione transferase of cowpea storage bruchid, Callosobrochus maculatus F. Pestic. Biochem. Physiol. 2011, 100, 212–220. [Google Scholar] [CrossRef]
  64. Holmes, A.R.; Keniya, M.V.; Ivnitski-Steele, I.; Monk, B.C.; Lamping, E.; Sklar, L.A.; Cannon, R.D. The monoamine oxidase A inhibitor clorgyline is a broad-spectrum inhibitor of fungal ABC and MFS transporter efflux pump activities which reverses the azole resistance of Candida albicans and Candida glabrata clinical isolates. Antimicrob. Agents Chemother. 2012, 56, 1508–1515. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Stergiopoulos, I.; Zwiers, L.H.; De Waard, M.A. Secretion of natural and synthetic toxic compounds from filamentous fungi by membrane transporters of the ATP-binding cassette and major facilitator superfamily. Eur. J. Plant Pathol. 2002, 108, 719–734. [Google Scholar] [CrossRef]
  66. Mernke, D.; Dahm, S.; Walker, A.S.; Lalève, A.; Fillinger, S.; Leroch, M.; Hahn, M. Two promoter rearrangements in a drug efflux transporter gene are responsible for the appearance and spread of multidrug resistance phenotype MDR2 in Botrytis cinerea isolates in French and German vineyards. Phytopathology 2011, 101, 1176–1183. [Google Scholar] [CrossRef] [Green Version]
  67. De Waard, M.A.; Andrade, A.C.; Hayashi, K.; Schoonbeek, H.j.; Stergiopoulos, I.; Zwiers, L.H. Impact of fungal drug transporters on fungicide sensitivity, multidrug resistance and virulence. Pest Manag. Sci. 2006, 62, 195–207. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The inhibition rate of B. cinerea isolates against iprodione (0.01 µg/mL) collected from different areas of Guangxi Province China.
Figure 1. The inhibition rate of B. cinerea isolates against iprodione (0.01 µg/mL) collected from different areas of Guangxi Province China.
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Figure 2. Colony morphology of B. cinerea Wild type (W0) and its mutant (M0, M2); (A) Mycelial growth of mutants (M0, M1) and its wild type on PDA medium after 5 days; (B) Sclerotia formation of wild type (W0) and its mutants (M0,M1) on PDA medium after 8, 12 and 14 days respectively; Sporulation: mean number (×106) seclerotia per square centimeter, (C) Mycelial growth of wild type (W0) and its mutants (M0, M1) after exposed 100, 500, 600 and 1000 µg/mL to iprodione on PDA medium at 28 °C for 3 days.
Figure 2. Colony morphology of B. cinerea Wild type (W0) and its mutant (M0, M2); (A) Mycelial growth of mutants (M0, M1) and its wild type on PDA medium after 5 days; (B) Sclerotia formation of wild type (W0) and its mutants (M0,M1) on PDA medium after 8, 12 and 14 days respectively; Sporulation: mean number (×106) seclerotia per square centimeter, (C) Mycelial growth of wild type (W0) and its mutants (M0, M1) after exposed 100, 500, 600 and 1000 µg/mL to iprodione on PDA medium at 28 °C for 3 days.
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Figure 3. Virulence of B. cinerea Wild type (W0) and its mutnats (M0, M1) on detached tomato leaves after 24 h of inoculation.
Figure 3. Virulence of B. cinerea Wild type (W0) and its mutnats (M0, M1) on detached tomato leaves after 24 h of inoculation.
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Figure 4. Histogram of KEGG pathways.
Figure 4. Histogram of KEGG pathways.
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Figure 5. Histogram showed a significant difference (p-value < 0.001) in W0 vs. W-ipro and M0 vs. M-ipro by GO annotation. The X-axis represents the number of genes and Y-axis represents the three GO terms under biological processes, cellular component and molecular function.
Figure 5. Histogram showed a significant difference (p-value < 0.001) in W0 vs. W-ipro and M0 vs. M-ipro by GO annotation. The X-axis represents the number of genes and Y-axis represents the three GO terms under biological processes, cellular component and molecular function.
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Figure 6. Variability in altered genes of wild type and its corresponding mutant with or without iprodione application represented in the form of Heat map. Genes with the same annotation modulated in a similar group. Twelve major groups are displayed in the heat map (Group I, II, III, IV, V, VI, VII, VIII, IX, X, XI, XII). Group VII have four subgroups I (Glycosyl family), II (Cellulase genes). III (Polygalacturose genes) and IV (carbohydrate metabolism).
Figure 6. Variability in altered genes of wild type and its corresponding mutant with or without iprodione application represented in the form of Heat map. Genes with the same annotation modulated in a similar group. Twelve major groups are displayed in the heat map (Group I, II, III, IV, V, VI, VII, VIII, IX, X, XI, XII). Group VII have four subgroups I (Glycosyl family), II (Cellulase genes). III (Polygalacturose genes) and IV (carbohydrate metabolism).
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Figure 7. Validation of seven DEG’s log fold 2 value of RNA seq by qRT-PCR of wild type and its corresponding mutant with or without iprodione treatment. (A,B) lysopholipase genes, (C) Glutathione-S transferase gene, (D) Glycosyl family carbohydrate metabolism, (E) Drug sensitivity genes, (F) Cytochrome P450 family, (G) Cellulase genes, (H) Pearson correlation of log fold 2 value of qRT-PCR and RNA sequencing of wild type and its mutant after iprodione application. The mRNA abundance was normalized by using the reference gene UBQ and relative expression (log fold 2) was valued as 2−ΔΔCT. All values of qRT-PCR represents as mean ± SD (n = 7).
Figure 7. Validation of seven DEG’s log fold 2 value of RNA seq by qRT-PCR of wild type and its corresponding mutant with or without iprodione treatment. (A,B) lysopholipase genes, (C) Glutathione-S transferase gene, (D) Glycosyl family carbohydrate metabolism, (E) Drug sensitivity genes, (F) Cytochrome P450 family, (G) Cellulase genes, (H) Pearson correlation of log fold 2 value of qRT-PCR and RNA sequencing of wild type and its mutant after iprodione application. The mRNA abundance was normalized by using the reference gene UBQ and relative expression (log fold 2) was valued as 2−ΔΔCT. All values of qRT-PCR represents as mean ± SD (n = 7).
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Figure 8. Amino acid sequence alignment of B. cinerea tubulin genes in wild type (W0) and its mutant (M0), (A): Mutation variation in bctubA gene at position 593 and 599, (B): Mutation variation in bctubB gene at position 646.
Figure 8. Amino acid sequence alignment of B. cinerea tubulin genes in wild type (W0) and its mutant (M0), (A): Mutation variation in bctubA gene at position 593 and 599, (B): Mutation variation in bctubB gene at position 646.
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Table 1. Details of raw and clean data of twelve transcriptomes of B. cinerea and the reference genomes.
Table 1. Details of raw and clean data of twelve transcriptomes of B. cinerea and the reference genomes.
StrainRaw ReadsClean ReadsClean BasesMapped ReadsQ 20 Avg (%)GC Avg (%)
M047,684,71847,218,9087,057,947,52144,704,018 (95.8%)
M-ipro45,648,74546,083,0596,885,980,89444,251,477 (96%)
W047,109,85846,628,9796,970,197,56344,597,601 (95.62%)97.7647.23
W-ipro46,618,81746,096,0186,885,797,28744,052,162 (96.22%)
Total187,062,138186,026,964
Table 2. The total number of DEG’S in wild type and its mutant with or without iprodione.
Table 2. The total number of DEG’S in wild type and its mutant with or without iprodione.
StrainAll DEGDEG UpregulatedDEG Downregulated
M-ipro vs. W-ipro18978861011
M0 vs. W01707890817
M-ipro vs. M0281166115
W-ipro vs. W0998514
Table 3. Major genes related to resistance in B. cinerea wild type and its mutant with or without iprodione application.
Table 3. Major genes related to resistance in B. cinerea wild type and its mutant with or without iprodione application.
Gene IDLog2 Fold Change ValueFunction Annotation
M-ipro vs. W-iproM0 vs. W0M-ipro vs. M0W-ipro vs. W0
BCIN_02g088909.1048.7460.5650Integral cellular component domain
BCIN_13g031708.2225.5290.378−0.231Glycerophospholipid metabolism
BCIN_06g071506.2135.5030.12−0.599Energy production and conservation
BCIN_09g011904.8784706126.006−0.5111.2044Zinc finger proteins
BCIN_13g042208.618−7.081198.576−21.308Chaperones proteins
BCIN_08g065207.3174.1549551.07079−4.216Oxygenase super family
Bcpg24.978−0.9672.896255−2.978Glycosyl hydrolase family
Bcoah4.8786.600−0.5111.204Isocitrtae lyase family
BcatrD2.5291.660.266−0.249ABC transporter proteins
Bclga12.2660.7450.865−0.705Glutathione S transferase proteins
BCIN_12g02432.5973.064−0.407−0.046Catalyze aminotransferase acid
Bcrds21.2291.092−0.062−0.192Drug sensitivity proteins
Bcltf10.5311.292−1.108−0.3241Sexual development transcription factor NsdD
BCIN_06g026802.000.8351.292−1.108Phenylalanine aminomutase enzyme
BCIN_08g023902.8370392.6284150.4360.223Heat shock binding proteins
BCIN_02g015001.9290.1990.3181.779Carbohydrate transport and metabolism
BCIN_04g012003.7212.7441.0350.061Steroid biosynthesis proteins
BCIN_08g015402.1191.6370.0715−0.411Steroid biosynthesis proteins
BCIN_03g034804.5554.2960.2850.019Xylanase proteins
Bcpgx12.5361.2120.496−0.823Polygalacturose proteins
BCIN_02g048004.8614.7960.6110.536Amino acid metabolism proteins
BCIN_01g014402.811−1.4492.354−1.871Dioxygenase TDA family
BCIN_12g045101.0870.7360.193−0.165Histidine kinase activity proteins
BCIN_01g035104.5313.321−2.063960.7321Cytochrome P450
BCIN_02g088809.4958.7180.024−0.752Unknown function hypothetical proteins
BCIN_02g088909.1048.7450.5650Unknown function hypothetical proteins

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Maqsood, A.; Wu, C.; Ahmar, S.; Wu, H. Cytological and Gene Profile Expression Analysis Reveals Modification in Metabolic Pathways and Catalytic Activities Induce Resistance in Botrytis cinerea Against Iprodione Isolated From Tomato. Int. J. Mol. Sci. 2020, 21, 4865. https://doi.org/10.3390/ijms21144865

AMA Style

Maqsood A, Wu C, Ahmar S, Wu H. Cytological and Gene Profile Expression Analysis Reveals Modification in Metabolic Pathways and Catalytic Activities Induce Resistance in Botrytis cinerea Against Iprodione Isolated From Tomato. International Journal of Molecular Sciences. 2020; 21(14):4865. https://doi.org/10.3390/ijms21144865

Chicago/Turabian Style

Maqsood, Ambreen, Chaorong Wu, Sunny Ahmar, and Haiyan Wu. 2020. "Cytological and Gene Profile Expression Analysis Reveals Modification in Metabolic Pathways and Catalytic Activities Induce Resistance in Botrytis cinerea Against Iprodione Isolated From Tomato" International Journal of Molecular Sciences 21, no. 14: 4865. https://doi.org/10.3390/ijms21144865

APA Style

Maqsood, A., Wu, C., Ahmar, S., & Wu, H. (2020). Cytological and Gene Profile Expression Analysis Reveals Modification in Metabolic Pathways and Catalytic Activities Induce Resistance in Botrytis cinerea Against Iprodione Isolated From Tomato. International Journal of Molecular Sciences, 21(14), 4865. https://doi.org/10.3390/ijms21144865

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