Literature DB >> 35359723

A New Species in Pseudophialophora From Wild Rice and Beneficial Potential.

Jia-Nan Zhu1, Yi-Jun Yu2, Meng-Di Dai3, Yu-Lan Zeng1, Xuan-Jun Lu1, Ling Wang1, Xiao-Hong Liu1, Zhen-Zhu Su1, Fu-Cheng Lin3.   

Abstract

Wild rice (Oryza granulata) is a natural resource pool containing abundant unknown endophytic fungi species. There are few reports on the endophytic fungi in wild rice. Here, one isolate recovered from wild rice roots was identified as a new species Pseudophialophora oryzae sp. nov based on the molecular phylogeny and morphological characteristics. Fluorescent protein-expressing P. oryzae was used to monitor the fungal colonization pattern. Hyphae invaded the epidermis to the inner cortex but not into the root stele. The inoculation of P. oryzae promoted the rice growth, with the growth parameters of chlorophyll content, shoot height, root length, fresh shoot weight, fresh root weight and dry weight increasing by 24.10, 35.32, 19.35, 90.00, 33.3, and 79.17%, respectively. P. oryzae induced up-regulation of nitrate transporter OsPTR9 and potassium transporter OsHAK16 by 7.28 ± 0.84 and 2.57 ± 0.80 folds, promoting nitrogen and potassium elements absorption. In addition, P. oryzae also conferred a systemic resistance against rice blast, showing a 72.65 and 75.63% control rate in sterile plates and potting conditions. This systemic resistance was mediated by the strongly up-regulated expression of resistance-related genes NAC, OsSAUR2, OsWRKY71, EL5, and PR1α. Since P. oryzae can promote rice growth, biomass and induce systemic disease resistance, it can be further developed as a new biogenic agent for agricultural production, providing a new approach for biocontrol of rice blast.
Copyright © 2022 Zhu, Yu, Dai, Zeng, Lu, Wang, Liu, Su and Lin.

Entities:  

Keywords:  Pseudophialophora; disease resistance; endophytic fungi; growth promotion; symbiosis

Year:  2022        PMID: 35359723      PMCID: PMC8963453          DOI: 10.3389/fmicb.2022.845104

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


Introduction

Endophytic fungi have been found colonizing all plant species and grow symptomatically in host plant tissues (Carroll, 1988). Endophytic fungi confer benefits to the host plants by promoting growth, enhancing resistance to biotic and abiotic stresses (Sieber, 2002), and improving the host’s ecological adaptability (Schulz and Boyle, 2005; Bertolazi et al., 2019; Domka et al., 2019; Vergara et al., 2019; White et al., 2019). Endophytic fungi promote plant growth and development by increasing nutrient intake of nutrient elements by the host plants (Rana et al., 2020). Phytohormones play as messengers to control plant growth and development (Aly et al., 2010). Certain endophytes synthesize phytohormones, such as indole-3-acetic acid (IAA), gibberellins (GAs), and cytokinins, to promote host plant growth (You et al., 2013; Khan A. L. et al., 2014; Khan A. R. et al., 2014). In addition, endophytic fungi also play essential roles on improving plant disease resistance. Harpophora oryzae isolated from the wild rice roots possessed biocontrol potential to rice blast (Yuan et al., 2010; Su et al., 2013). Magnaporthales is an order of Sordariomycetes, Ascomycota (Zhang et al., 2011; Luo et al., 2015). About 50% of these species are pathogens of monocotyledons, such as rice, maize and wheat (Kirk et al., 2008; Luo and Zhang, 2013). Pseudophialophora is a newly established genus in Magnaporthaceae of Magnaporthales (Luo et al., 2014). This study isolated and identified a new species, endophytic fungus P. oryzae sp. nov, from the wild rice roots based on phylogenetic and molecular analysis. We monitored the colonization pattern of P. oryzae in rice roots by transferring the GFP fluorescence label, then detected the biomass of P. oryzae in vivo by real-time PCR. The effect of P. oryzae on promoting plant nutrient absorption and disease resistance was further investigated. This work provides a scientific basis for P. oryzae as biological hormones, biological control agents and biological fertilizers.

Materials and Methods

Fungal Isolation and Cultivation

Wild rice (Oryza granulata) samples were collected from Xishuangbanna, Yunnan province, southwest of China, in November 2019. The isolation method of endophytic fungi referred to Yuan’s method (Yuan et al., 2010). Briefly, the healthy rice roots were gently rinsed with tap water, then immersed in 75% ethanol for 30 s and 1% sodium hypochlorite for 10 min. Subsequently, the roots were rinsed with sterile distilled water three times and cut into approximately 5 mm long segments. The segments were then transferred into a malt extract agar (MEA) medium (2% malt extract, 2% agar). The plates were incubated at 25°C in darkness. Fungal cultures were isolated and purified, saved on potato dextrose agar (PDA) slope (Yuan et al., 2010).

DNA Extraction, PCR Amplification, and Phylogenetic Analyses

Fungal DNA was extracted by DNA extraction method (Chi et al., 2009). Six genes, internal transcribed spacer (ITS), large subunit (LSU) and small subunit (SSU) of ribosomal RNA genes, DNA replication licensing factor (MCM7), the largest subunit of RNA polymerase II (RPB1), and translation elongation factor 1-α (TEF1-α) genes, were amplified for identification (Zhang et al., 2011; Luo and Zhang, 2013). Primers are listed in Supplementary Table 1. PCR amplification refers to the method of Zhang et al. (2011). PCR products were sequenced by ABI3730 (Tsingke company, Beijing), and the sequencing results were compared with the BLAST sequence on the national center for biotechnology information (NCBI) website. All reference strain names used for phylogenetic analysis and isolate numbers, sources, hosts, and GenBank accession numbers were listed in Table 1 (Luo and Zhang, 2013; Luo et al., 2014). The partial sequences of strain P-B313 were submitted to the GenBank and obtained GenBank accession numbers (Table 1). Sequences of each gene were aligned with Clustal X 2.1 (Thompson et al., 1997) and manually corrected with Genedoc (Yuan et al., 2010). A six-gene dataset was generated by connecting the individual sequence alignments. JModel Test 2.1.7 (Posada, 2008) was used to calculate the best-fit nucleotide substitution models by computing likelihood scores and calculating AIC. Cryphonectria parasitica was chosen as the outgroup taxon. Bayesian inference (BI) trees were constructed in MrBayes v3.2.6 (Ronquist et al., 2012), using the optimal nucleotide substitution model. A total of 100,000 trees were produced. The latter 37,500 trees were selected to calculate the posterior probability values of each branch in the consensus tree. Maximum-likelihood (ML) analysis with the selected optimal model was executed in IQ-Tree (Nguyen et al., 2015). Branch support was evaluated by 1000 bootstraps replicates.
TABLE 1

Species name, isolate ID, source, host, and GenBank accession numbers of the fungi used in this study.

Species nameIsolate IDSourceHostSSUITSLSUMCM7RPB1TEF1
Pseudophialophora oryzae P-B313 Yunnan, China Oryza granulate OL615103 OL614338 OL615091 OL657329 OL675673 OL675674
Magnaporthiopsis poae M47NJ, United States Poa pratensis JF414860JF414836JF414885JF710390JF710433JF710415
Magnaporthiopsis rhizophila M23Unknown Poa pratensis JF414858JF414834JF414883JF710384JF710432JF710408
Magnaporthiopsis incrustans M51KS, United States Zoysia matrella JF414870JF414846JF414895JF710389JF710440JF710417
M. incrustans M35UnknownUnknownJF414867JF414843JF414892JF710386JF710437JF710412
Magnaporthiopsis maydis M84UnknownUnknownKM009208KM009160KM009148KM009172KM009184KM009196
M. maydis M85UnknownUnknownKM009209KM009161KM009149KM009173KM009185KM009197
Magnaporthiopsis agrostidis BRIP 59300United States Ultradwarf bermudagrass MF178145KT364753KT364754MF178161KT364755KT364756
Magnaporthiopsis cynodontis D29387-3United States Ultradwarf bermudagrass MK458746MK458730MK458740MK458750MK458761MK458756
Magnaporthiopsis meyeri-festucae FF2United States Ultradwarf bermudagrass MF178140MF178146MF178151MF178156MF178162MF178167
Magnaporthiopsis panicorum CM2s8NJ, United StatesPanicum sp.KF689593KF689643KF689633KF689603KF689613KF689623
Gaeumannomyces graminis var. graminisM54FL, United StatesUnknownJF414873JF414848JF414898JF710394JF710444JF710419
G. graminis var. graminisM33FL, United States Stenotaphrum secundatum JF414871JF710374JF414896JF710392JF710442JF710411
G. graminis var. triticiM55MT, United StatesTriticum sp.JF414875JF414850JF414900JF710395JF710445JF710420
G. graminis var. avenaeCBS187.65Netherlands Avena sativa JX134655JX134668JX134680JX134708JX134722JX134694
Buergenerula spartinae ATCC 22848Unknown Spartina DQ341471JX134666DQ341492JX134706JX134720JX134692
Pseudophialophora schizachyrii AL3s4NJ, United StatesPoaceae sp.KF689600KF689650KF689640KF689610KF689620KF689630
P. schizachyrii AL2m1NJ, United StatesSchizachyrium sp.KF689599KF689649KF689639KF689609KF689619KF689629
P. panicorum CM3m7NJ, United StatesPoaceae sp.KF689602KF689652KF689642KF689612KF689622KF689632
P. panicorum CM9s6NJ, United StatesPanicum sp.KF689601KF689651KF689641KF689611KF689621KF689631
Pseudophialophora tarda WSF:14SW13NJ, United States Dichanthelium acuminatum KP769823KP769839KP769831KP784814KP784822KP784830
P. tarda WSF:14RG48-2NJ, United States Dichanthelium acuminatum KP769824KP769840KP769832KP784815KP784823KP78483
Pseudophialophora angusta WSF:14RG40NJ, United States Dichanthelium acuminatum KP769825KP769841KP769833KP784816KP784824KP784832
Pseudophialophora dichanthii WSF:14RG82NJ, United States Dichanthelium acuminatum KP769822KP769838KP769830KP784813KP784821KP784829
P. dichanthii WSF14RG72NJ, United States Dichanthelium acuminatum KP769821KP769837KP769829KP784812KP784820KP784828
Pseudophialophora magnispora CM14RG38NJ, United States Dichanthelium acuminatum KP769819KP769835KP769827KP784810KP784818KP784826
P. magnispora CM14RG50NJ, United States Dichanthelium acuminatum KP769820KP769836KP769828KP784811KP784819KP784827
Pseudophialophora whartonensis WSF14RG66NJ, United States Dichanthelium acuminatum KP769818KP769834KP769826KP784809KP784817KP784825
Pseudophialophora eragrostis CM20m5-2NJ, United StatesPoaceae sp.KF689597KF689647KF689637KF689607KF689617KF689627
P. eragrostis CM12m9NJ, United StatesEragrostis sp.KF689598KF689648KF689638KF689608KF689618KF689628
Pyricularia grisea M82Tichnor, AR, United StatesDigitaria sp.JX134656JX134670JX134682JX134710JX134724JX134696
Ophioceras commune M91Yunnan, ChinaRotten woodJX134661JX134675JX134687JX134715JX134729JX134701
Nakataea oryzae M21Japan Oryza sativa JF414862JF414838JF414887JF710382JF710441JF710406
Omnidemptus affinis ATCC 200212QLD, AustraliaPanicum effusum var. effusumJX134660JX134674JX134686JX134714JX134728JX134700
Slopeiomyces cylindrosporus CBS 610.75UnknownUnknownDQ341473JX134667DQ341494JX134707JX134721JX134693
Cryphonectria parasitica EP155CT, United States Castanea dentata Genome data, Joint Genome Institute

Bold values represent GeneBank accession numbers of six genes of Pseudophialophora oryzae.

Species name, isolate ID, source, host, and GenBank accession numbers of the fungi used in this study. Bold values represent GeneBank accession numbers of six genes of Pseudophialophora oryzae.

Morphological Observation and Genetic Transformation

Strain P-B313 was cultured in 150 mL potato dextrose broth (PDB) at 25°C 150 rpm for 3 days. The mycelia and conidia were then collected and observed under a microscope (Carl Zeiss Inc., Germany). P-B313 fungal plug (5 mm × 5 mm) was fixed into 2.5% glutaraldehyde solution at 4°C overnight. Then the samples were rinsed with 0.1 M phosphate buffer (pH = 7) three times (15 min each time), fixed in 1% OsO4 for 2 h at 25°C, washed with phosphate buffer three times and dehydrated in a graded ethanol series. The samples were dried on HCP-2 critical point dryer (Hitachi, Japan) and coated. Finally, the samples were observed under SU-8010 scanning electron microscope (SEM) (Hitachi, Japan) (Liu X. H. et al., 2007). The strain P-B313 was cultured in PDB for 3 days. And the conidia suspension with a concentration of 1 × 106 spores/mL was collected. Agrobacterium tumefaciens strains containing PKD5-GFP vector with sulfonylureas resistance gene were mixed with P-B313 conidia suspension in equal volume (Lu et al., 2014). The transformants were screened on a defined complex medium (DCM) containing sulfonylurea (Dai et al., 2021). The fluorescence was detected by LSM880 confocal laser scanning microscope (Carl Zeiss Inc., Germany).

Co-cultivation of Endophyte and Rice

Rice seeds of blast-susceptible rice cultivar CO-39 (Oryza sativa) were surface-sterilized in 70% ethanol for 5 min, in 1.0% sodium hypochlorite solution for 20 min rinsed repeatedly using sterile water. Rice seeds were then planted in half-strength Murashige and Skoog medium (Murashige and Skoog, 1962) for 3 days, then transferred into tissue culture bottles (8 cm in width, 50 cm in height) containing half-strength Murashige and Skoog in which 10 seedlings were inoculated. We then inoculated three fresh mycelium plugs (diameter 8 mm, 7-day-old) in each tissue culture vessel. Blank agar blocks were used as control.

Quantification of Fungal Biomass in Rice Roots by Real-Time PCR

After 14 days of co-culture with GFP-tagged strain P-B313, the roots of the symbionts were collected and observed under an LSM880 confocal laser scanning microscope (Carl Zeiss Inc., Germany). The fungus/plant DNA ratio (FPDR) was used to detect fungal infection in rice roots. The degree of fungal infection was determined by 2–Δ (Kenneth and Thomas, 2002), where ΔCt was the difference threshold value between strain P-B313 Tef-1α gene and rice Actin gene (Deshmukh et al., 2006; Deshmukh and Kogel, 2007). The specific primers were designed to be consistent with the tef-1α gene amplification primers. A total of 100 mg of root samples were collected at 5, 10, 15, and 20 days after inoculation (d.a.i.), respectively, according to Maciá-Vicente et al. (2009). The DNA was extracted using the nuclear plant genomic DNA kit (Tiangen, Beijing). The real-time PCR was performed in a total volume of 25 μL, including 10 ng of DNA, 12.5 μL of 2x SYBR Premix Ex Taq™ (Takara Bio Inc., Shiga, Japan), 1.25 μL of specific primer TEF1-F/R (or Actin-F/R for the rice Actin gene; Supplementary Table 1) and 10.25 μL of ddH2O. Melting curve analysis was performed. Ct values were measured by using the Realplex software 2.2.10.84.

Endophytic Fertilizer Preparation and Pathogen Inoculation

Strain P-B313 was cultured in 150 mL PDB at 25°C 150 rpm for 3 days. The mycelium suspension was then inoculated into sterilized barley grains (150 mL/200 g) and fermented at 25°C for 15 days. The germinated rice seeds were planted into pots containing fermented fungal fertilizer (75 g fertilizer, 30 seeds per pot). The controls were rice seeds inoculated with sterile barley grains. After 14 days of co-culture, the growth parameters, such as the chlorophyll content, shoot length, root length, shoot fresh weight, fresh root weight, and dry weight, were determined. A total of 30 rice plants were measured in the control and treatment groups, respectively. The length of the longest root was measured. The pathogen Magnaporthe oryzae Guy11 was cultured in a complete medium (CM) 10 days. Then the spores were collected and prepared into suspension with a concentration of 5 × 104 spores/mL. The rice leaves were sprayed with spore suspension and incubated in the dark at 22°C for 2 days, at 25°C for 4 days (light 16 h/darkness 8 h). The lesion area rate and disease index were calculated. The disease index was investigated according to the Standard Evaluation System for Rice (SES) of the International Rice Research Institute (IRRI 2002) (Supplementary Table 2). The disease equation is as follows: disease index = Σ(diseased level leaf number × representative value) / (total leaf number × heavy disease representative value) × 100% (Li et al., 2020).

Determination of Nutrient Elements

The rice leaves and roots were collected separately and dried to constant weight under −80°C, then ground into dry powder. A total of 0.5 g of dry powder sample was placed in the digestion tank with 5 mL concentrated nitric acid and 1 mL hydrogen peroxide, shake well and let it stand for 1 min before digestion. After digestion, the acid was heated on an electric stove. And after cooling, use 2% nitric acid to make the volume 200 mL. Finally, phosphorus (P), potassium (K), magnesium (Mg), and iron (Fe) were determined by ICP-OES (IRIS Intrepid II XSP, Thermo, United States). The nitrogen (N) content is determined by Kjeldahl method (Stafilov et al., 2020).

Determination of Relative Expression Levels of Related Genes

After co-culture of strain P-B313 with rice for 14 days, rice plants were collected. Total rice RNA was extracted using TRIzol (Invitrogen, United States), followed by PrimeScript™ RT reagent Kit with gDNA Eraser (Perfect Real Time) (TaKaRa, Japan) kit for reverse transcription. The rice nutrition absorption-related genes OsPTR9, OsAMT3;2, OsMRS2-8, OsPT4, OsHAK16, OsIRO2, and OsYSL15 and rice disease resistance-related genes NAC, AOS, OsSAUR2, OsWRKY71, POX1, POX2, EL5, ERF4, PR1α, and PR1b were measured by quantitative analysis. The real-time PCR was performed in a total volume of 20 μL, including template cDNA (five times diluted) 1 μL, 10 μL of 2x SYBR Premix Ex Taq™ (Takara, Japan), 1 μL of specific primer (Supplementary Table 1) and 7 μL of ddH2O. Reaction conditions: 95°C for 5 min, 40 cycles (95°C for 10 s, 60°C for 15 s), and the dissolution curve was set. The relative expression quantity of gene expression was calculated by 2–ΔΔ (Schmittgen and Livak, 2008).

Statistical Analysis

Data were statistically analyzed by SPSS 16.0 version software (SPSS Inc., United States), expressed as mean ± standard deviation (SD). Graphs were created using GraphPad Prism 8.

Results

Morphological and Phylogeny Characteristics

The morphology of the colony, hyphae and conidia were observed. Strain P-B313 grew slowly on PDA medium, and the colony diameter reached 4 cm after growing at 25°C for 7 days. Aerial mycelia were white, prostrating on the medium surface. Mycelia were 0.5–4.0 μm in width, with a septum. Conidiophores were solitary, no branching. Conidia were elliptic or dumbbell-shaped, 11–15 × 3.5–6.5 μm (Figure 1).
FIGURE 1

Morphological characteristics of P. oryzae. (A) Fungal colony on PDA after 7 days at 25°C. (B) Mycelia morphology under the optical microscope. Bar, 5 μm. (C) Conidia morphology under an optical microscope. Bar, 5 μm. (D) Scanning electronic micrographs of mycelia and conidia. Bar, 2 μm.

Morphological characteristics of P. oryzae. (A) Fungal colony on PDA after 7 days at 25°C. (B) Mycelia morphology under the optical microscope. Bar, 5 μm. (C) Conidia morphology under an optical microscope. Bar, 5 μm. (D) Scanning electronic micrographs of mycelia and conidia. Bar, 2 μm. We first blasted the similarity of the ITS sequence of the strain P-B313 on the NCBI website. The results showed that the identity between strain P-B313 and Pseudophialophora sp. (MK808146) was 99.4%. We conducted a phylogenetic analysis of strain P-B313 with the other related genus in Magnaporthaceae. It was found that there were 580 nucleotides in the ITS alignment, 869 in LSU, 1,032 in SSU, 926 in TEF1, 559 in MCM7, and 769 in RPB1. The 6-gene dataset involved 4,735 characters, including 925 parsimony informative, 722 variable and parsimony uninformative, and 3,088 constant. Calculated by jModel Test2.1.7, TN + F + R4 and TrN + I + G were selected as the optimal BI and ML analysis models. The two trees’ topological structures are similar using phylogenetic trees constructed by BI and ML methods. Only the BI tree is shown in Figure 2. Strain P-B313 belongs to the Pseudophialophora genus from the phylogenetic tree, but it exists in a separate clade independent of Pseudophialophora panicorum (Luo et al., 2014). In addition, the strain morphology and mycelium morphology of strain P-B313 and P. panicorum were quite different (Luo et al., 2014). Based on the molecular phylogeny and morphological, biological, and ecological characteristics, strain P-B313 was defined as a new species P. oryzae sp. nov (Collection Number: CCTCC M 2021504).
FIGURE 2

Phylogenetic tree of six genes combined. The tree was inferred from the combined ITS, SSU, LSU, TEF1, MCM7, and RPB1 sequence datasets. The topology of the tree is the result of BI method. The value on the branch is the BI posterior probability (BIPP)/ML bootstrap proportion (MLBP). The Bar indicates 0.04 base substitution sites.

Phylogenetic tree of six genes combined. The tree was inferred from the combined ITS, SSU, LSU, TEF1, MCM7, and RPB1 sequence datasets. The topology of the tree is the result of BI method. The value on the branch is the BI posterior probability (BIPP)/ML bootstrap proportion (MLBP). The Bar indicates 0.04 base substitution sites.

Genetic Transformation, Colonization Pattern of Pseudophialophora oryzae in Rice Roots

After five generations, intense green fluorescence was found to be uniformly distributed in the hyphae and conidiophores (Figure 3). The GFP-expressed transformant was selected as a candidate for further root inoculation.
FIGURE 3

Laser scanning confocal microscopy of the GFP-expressed P. oryzae transformant. Hyphae and conidia showed constitutive GFP expression. Bar, 10 μm.

Laser scanning confocal microscopy of the GFP-expressed P. oryzae transformant. Hyphae and conidia showed constitutive GFP expression. Bar, 10 μm. The colonization pattern was monitored using GFP-labeled P. oryzae. Transversely, the fungus entered the root epidermis and then invaded the inner cortical layer, finally colonized in the inner cortical layer. No hyphae approached the central part of the roots. Concomitantly, abundant hyphae preferred to colonize in the epidermis and outer cortex (Figure 4A).
FIGURE 4

Colonization pattern of P. oryzae in rice roots. (A) GFP-tagged hyphae gradually extended from the epidermis to the endodermis in a root cross-section and longitudinal section. Bar, 5 μm. (B) Relative amounts of fungal DNA in rice roots at different time points (5, 10, 15, and 20 d.a.i.). A fungal colonization curve plotted with Mean ± SD is shown.

Colonization pattern of P. oryzae in rice roots. (A) GFP-tagged hyphae gradually extended from the epidermis to the endodermis in a root cross-section and longitudinal section. Bar, 5 μm. (B) Relative amounts of fungal DNA in rice roots at different time points (5, 10, 15, and 20 d.a.i.). A fungal colonization curve plotted with Mean ± SD is shown. The FPDR was measured simultaneously to assess fungal growth and the respective plant response. It was shown that an early moderate increase in the FPDR from 1.20 ± 0.18 to 4.90 ± 2.43 occurred within 10 d.a.i., followed by a significant increase to 22.85 ± 9.51 at 20 d.a.i. (Figure 4B).

Pseudophialophora oryzae Promotes Rice Growth

Pseudophialophora oryzae and rice were co-cultivated to investigate whether P. oryzae promotes rice growth. It was founded that the P. oryzae inoculated rice seedlings grew better and stronger than the control plants (Figures 5A,B), exhibiting higher chlorophyll content, shoot height, root length, fresh shoot weight, fresh root weight, and plant dry weight by 24.10, 35.32,19.35, 90.00, 33.3, and 79.17%, respectively (Figures 5C–H). These results indicated that P. oryzae possessed a positive capacity for plant growth.
FIGURE 5

Effect of P. oryzae on the rice growth in pots. (A,B) The comparison of P. oryzae-treated plants with control in pots. (C–H) The comparison of P. oryzae-treated plants with non-treated control on the growth parameters includes the chlorophyll content, shoot height, root length, fresh shoot weight, fresh root weight, and plant dry weight. All the above bar charts were plotted with Mean ± SD. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

Effect of P. oryzae on the rice growth in pots. (A,B) The comparison of P. oryzae-treated plants with control in pots. (C–H) The comparison of P. oryzae-treated plants with non-treated control on the growth parameters includes the chlorophyll content, shoot height, root length, fresh shoot weight, fresh root weight, and plant dry weight. All the above bar charts were plotted with Mean ± SD. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

Pseudophialophora oryzae Enhances Resistance Against Rice Blast

We then investigated whether P. oryzae confers resistance to rice against rice blast under both plate and pot conditions. It was shown that the disease of the control rice plants grown in plates was serious, forming large circular or oval brown spots, disease spots densely covered (Figure 6A). The lesion area rate was 36.23%, and the disease index was 80.95% (Figures 6B,C). In contrast, the disease of rice plants inoculated with P. oryzae was relatively mild (Figure 6A), with a 9.91% lesion area rate (Figure 6B). The leaf area of the disease spot was small, accompanied by a few necrotic spots, and the disease index was only 25.92% (Figure 6C). The control effect of P. oryzae on rice blast reached 72.65%. Similarly, the disease resistance tests for potted plants were consistent with those for plates (Figure 6D). The lesion area rate of control and treatment was 53.13 and 12.95% (Figure 6E), respectively, and the disease index was 91.54and 28.04% (Figure 6F). The control effect of P. oryzae on rice blast reached 75.63% in pots. In conclusion, root colonization of P. oryzae can induce systemic disease resistance of hosts and has a positive control effect on rice blast.
FIGURE 6

Effect of P. oryzae on resistance against rice blast. (A,D) The severity of devastating symptoms on the leaves of P. oryzae-inoculated rice compared to control in plate and pot experiments, respectively. (B,E) An AxioVision image analyzer evaluated the lesion area. Bar charts were plotted with Mean ± SD. (C,F) According to the disease classification, the disease index of P. oryzae-infected and control-infected rice was calculated. Bar charts were plotted with Mean ± SD from 30 plants, respectively. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

Effect of P. oryzae on resistance against rice blast. (A,D) The severity of devastating symptoms on the leaves of P. oryzae-inoculated rice compared to control in plate and pot experiments, respectively. (B,E) An AxioVision image analyzer evaluated the lesion area. Bar charts were plotted with Mean ± SD. (C,F) According to the disease classification, the disease index of P. oryzae-infected and control-infected rice was calculated. Bar charts were plotted with Mean ± SD from 30 plants, respectively. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

Pseudophialophora oryzae Promotes Nutrient Absorption in Rice

Through the analysis of the nutrient element contents in the shoots and roots of rice plants, it was found that after inoculation with P. oryzae, the contents of N and K in the shoot tissues of rice plants increased significantly, which increased by 15.28 and 3.88% compared with the control group, respectively (Figure 7A). There was no significant change in P, Mg, and Fe content. Similarly, the contents of elements such as N, K, and Mg in the roots of the treatment group also increased significantly, increasing by 12.35, 3.29, and 0.36%, respectively (Figure 7B). There was no significant change in P and Fe content. Therefore, the root colonization of P. oryzae can effectively promote the absorption of nutrient elements in rice roots and increase the content of nutrient elements in the tissues.
FIGURE 7

The effect of P. oryzae on nutrient content in rice seedling tissues. (A) The nutrient content in shoots. (B) The nutrient content in roots. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

The effect of P. oryzae on nutrient content in rice seedling tissues. (A) The nutrient content in shoots. (B) The nutrient content in roots. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

Expression of Genes Related to Nutrient Absorption and Disease Resistance

We analyzed the expression levels of N, P, K, Fe, Mg, and other key genes for nutrient absorption and resistance-related genes. The results showed that the root colonization of P. oryzae significantly up-regulated the expression of peptide transporter OsPTR9 and potassium transporter OsHAK16, which were 7.28 ± 0.84 times and 2.57 ± 0.80 times higher than that of the control group, respectively. Genes such as OsAMT3;2 and OsMRS2-8 were significantly down-regulated. It can be seen that after P. oryzae infects and colonizes rice roots, it can significantly up-regulate the expression of genes related to N and K element absorption, thereby promoting nutrient element absorption (Table 2).
TABLE 2

The relative expression of genes related to plant nutrient element absorption.

Gene nameDescriptionTIGRFold change
OsPTR9 Peptide transporterOs06g07064007.28 ± 0.84**
OsAMT3;2 Ammonium transporterOs03g08384000.22 ± 0.06**
OsMRS2-8 Magnesium transporterOs04g04309000.43 ± 0.05**
OsPT4 Phosphorus transporterOs04g01864000.68 ± 0.02**
OsHAK16 Analogous potassium transporterOs03g05752002.57 ± 0.80*
OsIRO2 Iron-related transcription factor 2Os01g09528000.40 ± 0.18**
OsYSL15 Iron-phytosiderophore transporterOs02g06503000.27 ± 0.16**

Fold change in relative gene expression were calculated by Mean ± SD. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively.

The relative expression of genes related to plant nutrient element absorption. Fold change in relative gene expression were calculated by Mean ± SD. Independent-samples t-test analyzed data. The symbols * and ** indicate significant differences at P < 0.05 and P < 0.01, respectively. In addition, we found that the root colonization of P. oryzae significantly up-regulated the expression of NAC, OsSAUR2, OsWRKY71, EL5, and PR1α genes, which were 3.04 ± 0.72, 10.37 ± 0.34, 1.98 ± 0.13, 2.10 ± 0.35, and 1.46 ± 0.17 times of the control group, respectively. Compared with the control group, AOS, POX2, and PR1b were significantly down-regulated by 0.36 ± 0.05, 0.39 ± 0.24, and 0.38 ± 0.16 times. However, the expression levels of POX1 and ERF4 were not significantly changed. In conclusion, P. oryzae can induce up-regulated expression of some genes representing plant defense response and improve the host systemic disease resistance (Table 3).
TABLE 3

The relative expression of selected genes representative for plant defense response.

Gene nameDescriptionTIGRFold change
NAC NAC domain–containingOs01g08628003.04 ± 0.72**
AOS Allene oxide synthaseOs03g02259000.36 ± 0.05**
OsSAUR2 RNA small auxin-up RNAOs01g076833310.37 ± 0.34**
OsWRKY71 Transcription factorOs02g01813001.98 ± 0.13**
POX1 Putative peroxidaseOs06g05215000.74 ± 0.20
POX2 Putative peroxidaseOs06g05219000.39 ± 0.24*
EL5 N-acetylchitooligosaccharide elicitor-responsiveOs02g05598002.10 ± 0.35**
ERF4 Ethylene-responsive transcription factor 4Os04g06104002.18 ± 0.98
PR1αPathogenesis-related geneOs07g01292001.46 ± 0.17**
PR1b Pathogenesis-related geneOs01g03820000.38 ± 0.16**

Fold change in relative gene expression were calculated by Mean ± SD. Data were analyzed by independent-samples t-test. The symbols * and **indicate significant differences at P < 0.05 and P < 0.01, respectively.

The relative expression of selected genes representative for plant defense response. Fold change in relative gene expression were calculated by Mean ± SD. Data were analyzed by independent-samples t-test. The symbols * and **indicate significant differences at P < 0.05 and P < 0.01, respectively.

Discussion

Plant roots provide excellent habitats and nutrients for endophytic fungi to help them survive. Endophytic fungi, in turn, protect plants from biotic and abiotic stresses (Verma et al., 2009; Lahrmann et al., 2013; Mitter et al., 2013). Endophytic fungal communities play an important role in adapting wild rice to poor environments. Our study firstly isolated P. oryzae from the wild rice roots. There are few reports of Pseudophialophora genus, besides Pseudophialophora sp. isolated from the grassroots by Luo et al. (2014, 2015). The six-genes phylogeny showed that P. oryzae was defined as a singleton in the genus, while P. panicorum clustered in another subclade. Morphologically, P. oryzae is significantly different from P. panicorum (Luo et al., 2014). A new species P. oryzae sp. nov was proposed for the first time. And P. oryzae was beneficial for rice growth and blast resistance (Figure 8).
FIGURE 8

Schematic representations of rice colonized by P. oryzae. P. oryzae promoted the absorption of N and K elements, promoted rice growth, and enhanced the resistance to rice blast. The white dots represent P. oryzae.

Schematic representations of rice colonized by P. oryzae. P. oryzae promoted the absorption of N and K elements, promoted rice growth, and enhanced the resistance to rice blast. The white dots represent P. oryzae. The colonization pattern of endophytic fungi is essential for understanding the symbiosis between endophytes and host plants. We found that P. oryzae hyphae invaded the root epidermis into the cortex and reached the endodermis but did not approach the stele. This colonization pattern was similar to dark septate endophytes (DSEs) and soil-inhabiting fungi (Maciá-Vicente et al., 2009). Differently, DSEs formed fungal structures, including hyphopodia and microsclerotia (Su et al., 2013), while P. oryzae did not form such structures during infection. The fungal proliferation pattern of DSE H. oryzae in rice increased firstly and then stabilized (Su et al., 2013). However, the fungal proliferation pattern of P. oryzae kept increasing within 20 days, neither causing any disease symptoms. Endophytes promote plant growth (Rigobelo and Baron, 2021), which is mainly regulated by the levels of plant hormones (Khalmuratova et al., 2021) or promoting plants to obtain essential nutrients (Rigobelo and Baron, 2021). Endophytes can secrete growth-promoting substances such as auxin, cytokinin, gibberellin (Khan et al., 2012), and secondary metabolites (Peters et al., 1998) to regulate hormone levels and promote plant growth and development. Colonization of Anteaglonium in blueberry roots changed the metabolism of plant hormones and flavonoids, stimulating blueberries’ growth (Wu et al., 2020). Alternaria tenuissima and Fusarium tricinctum synthesized auxin and promoted the growth of host plants (Chand et al., 2020). Endophytes also promote nutrient uptake, often including N, P, and K elements critical for plant development (Tan and Zou, 2001). Xylaria regalis from cones of Thuja plicata could significantly increase the N content of red pepper and thus promote the growth of pepper (Adnan et al., 2018). Piriformospora indica improved the accumulation of N and K to improve tomato growth (Ghorbani et al., 2019). In addition, genes related to nutrient absorption also played important roles. OsPTR9 is a member of the peptide transporter PTR gene family. Overexpression of OsPTR9 could increase the lateral root density of rice, increase the contact area between root and nutrients, fix nitrogen in the atmosphere, promote the absorption of ammonium and the growth of rice (Fang et al., 2013). OsHAK16 is a member of HAK/KUP/KT family and is essential for K absorption (Okada et al., 2008). Overexpression of OsHAK16 significantly increased K content in rice and improved the stress resistance of rice (Fang et al., 2013). Our results showed that the colonization of P. oryzae in the rice roots led to the up-regulation of the expression of OsPTR9 and OsHAK16, which increased the accumulation of N and K in rice and promoted the growth of rice. In addition to enhancing nutrient absorption, whether P. oryzae produces hormones or other secretions to promote the growth of the host is still unknown. Therefore, it is necessary to study further the interaction mechanism between P. oryzae and rice symbionts. Endophytes can live in host tissues without causing and adverse symptoms. They can induce plant immune response and improve host disease resistance by regulating genes expression and signal network related to rice defense response (Tsuda and Somssich, 2015). In the defense response of rice, pathogenesis-related (PR) genes are the key genes to induce systemic disease resistance (Asai et al., 2002; Lee et al., 2004; Djamei et al., 2007). NAC is one plant-specific transcription factor, which plays an important role in coping with biological and abiotic stresses (Kim et al., 2012; Lv et al., 2016). Several proteins with NAC domain enhanced resistance to Pseudomonas syringae infection in tomatoes (Mysore et al., 2002). OsSAUR2 is an auxin-responsive gene in plants, which has been shown to regulate auxin synthesis and transport, inhibit auxin activity and promote plant immune resistance (Ding et al., 2008; Kant et al., 2009). EL5 is an N-acetylchitooligosaccharide elicitor response gene in rice, which acts as an E3 ubiquitin ligase and positively regulates plant immune response (Takai et al., 2002). These reports were consistent with our results that up-regulated expression of PR1α, NAC, OsSAUR2, and EL5 can enhance the systemic disease resistance of rice after P. oryzae inoculated rice roots. In addition, salicylic acid (SA) (Janda et al., 2020), jasmonic acid (JA) (Barna et al., 2012; Li et al., 2021) and ethylene (ET) (Wang et al., 2019) also play important roles in inducing resistance (Glazebrook, 2005; McDowell et al., 2005; Flors et al., 2008). AOS (Gfeller et al., 2010; Xiao et al., 2019) and ERF4 (Yang et al., 2005) are key genes of JA biosynthesis pathway and ethylene pathway, respectively. Their down-regulated expression indicated that systemic resistance induced by P. oryzae was independent of JA and ET signaling pathways. OsWRKY71 is associated with the SA signaling pathway that regulates the resistance of rice and other gramineous crops to a variety of diseases (Liu X. et al., 2007). The expression of OsWRKY71 gene was up-regulated by the inoculation of P. oryzae in rice. Therefore, the systemic resistance of P. oryzae to M. oryzae infection may be mediated by SA signaling pathway. Together, our results indicated that P. oryzae could induce systemic disease resistance in rice by regulating genes related to rice defense response.

Conclusion

In conclusion, we isolated an endophytic fungus P-B313 from wild rice and defined it as a new species P. oryzae by phylogenetic analysis of six-genes. After co-culture with rice, the colonization pattern of P. oryzae was that hyphae invaded from the epidermis to the inner cortex but not into the stele. P. oryzae can also promote nitrogen and potassium elements absorption in rice, significantly promote rice growth, and enhance the systemic resistance against rice blast. It can be further developed as a new biogenic agent for agricultural production, providing a new approach for the biocontrol of rice blast.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Author Contributions

J-NZ and Z-ZS contributed to experimental design. J-NZ, Y-JY, M-DD, and Y-LZ contributed to experiments. J-NZ, X-JL, and LW contributed to data analysis and scripts. F-CL, X-HL, and Z-ZS supplied experimental conditions. J-NZ, Y-JY, Z-ZS, and F-CL wrote the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of Interest

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

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  57 in total

1.  Genetic analysis of developmentally regulated resistance to downy mildew (Hyaloperonospora parasitica) in Arabidopsis thaliana.

Authors:  John M McDowell; Scott G Williams; Nicholas T Funderburg; Thomas Eulgem; Jeffery L Dangl
Journal:  Mol Plant Microbe Interact       Date:  2005-11       Impact factor: 4.171

2.  Analyzing real-time PCR data by the comparative C(T) method.

Authors:  Thomas D Schmittgen; Kenneth J Livak
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  jModelTest: phylogenetic model averaging.

Authors:  David Posada
Journal:  Mol Biol Evol       Date:  2008-04-08       Impact factor: 16.240

4.  OsWRKY71, a rice transcription factor, is involved in rice defense response.

Authors:  Xiaoqiang Liu; Xianquan Bai; Xiujie Wang; Chengcai Chu
Journal:  J Plant Physiol       Date:  2006-08-21       Impact factor: 3.549

5.  Altered expression of the PTR/NRT1 homologue OsPTR9 affects nitrogen utilization efficiency, growth and grain yield in rice.

Authors:  Zhongming Fang; Kuaifei Xia; Xin Yang; Marianne Suter Grotemeyer; Stefan Meier; Doris Rentsch; Xinlan Xu; Mingyong Zhang
Journal:  Plant Biotechnol J       Date:  2012-12-11       Impact factor: 9.803

6.  Diversity and Plant Growth Promotion of Fungal Endophytes in Five Halophytes from the Buan Salt Marsh.

Authors:  Irina Khalmuratova; Doo-Ho Choi; Hyeok-Jun Yoon; Tae-Myung Yoon; Jong-Guk Kim
Journal:  J Microbiol Biotechnol       Date:  2021-01-04       Impact factor: 2.351

7.  Pathogen resistance of transgenic rice plants expressing mitogen-activated protein kinase 1, MK1, from Capsicum annuum.

Authors:  Da-Eun Lee; In-Jung Lee; Oksoo Han; Myung-Gi Baik; Sung-Sook Han; Kyoungwhan Back
Journal:  Mol Cells       Date:  2004-02-29       Impact factor: 5.034

8.  A novel dark septate fungal endophyte positively affected blueberry growth and changed the expression of plant genes involved in phytohormone and flavonoid biosynthesis.

Authors:  Fan-Lin Wu; Yan Li; Wei Tian; Yadong Sun; Feiyan Chen; Yurou Zhang; Yuxuan Zhai; Jing Zhang; Hongyan Su; Lei Wang
Journal:  Tree Physiol       Date:  2020-07-30       Impact factor: 4.196

9.  IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.

Authors:  Lam-Tung Nguyen; Heiko A Schmidt; Arndt von Haeseler; Bui Quang Minh
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

10.  Evidence for biotrophic lifestyle and biocontrol potential of dark septate endophyte Harpophora oryzae to rice blast disease.

Authors:  Zhen-Zhu Su; Li-Juan Mao; Na Li; Xiao-Xiao Feng; Zhi-Lin Yuan; Li-Wei Wang; Fu-Cheng Lin; Chu-Long Zhang
Journal:  PLoS One       Date:  2013-04-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.