The Role of Root Tissue Membrane Proteins in Replanting Stress in Rehmannia glutinosa

 

Fajie Feng1, Chuyun Yang1, Shangyu Zhan1, Shuqiang Chen1, Li Gu1,2, Bao Zhang1, Aiguo Chen1,3, Mingjie Li1,2 and Zhongyi Zhang1,2*

1College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, P. R. China

2Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, P. R. China

3Qingdao Special Crop Research center, Tobacco Research Institute of Chinese Academy of Agricultural Sciences

*For correspondence: zyzhang@fafu.edu.cn

Received 03 March 2021; Accepted 07 June 2021; Published 10 July 2021

 

Abstract

 

The perennial herbaceous plant, Rehmannia glutinosa Libosch, is one of traditional Chinese medicines with a long history of cultivation and medicinal use. However, in production of R. glutinosa, replanting disease severely affected its yield and medicinal quality. Replanting disease is the special stress including biotic and abiotic factors. The membrane proteins system plays the important role in process of plants responding to stress factors. In this study, the differentially expressed root tissue membrane proteins between first planted and replanted R. glutinosa were identified through the isobaric tag for relative and absolute quantitation (iTRAQ). As a result, the membrane protein extraction kit could highly effectively extract the membrane proteins from R. glutinosa root tissue. A total of 698 differential membrane proteins between first planted and replanted R. glutinosa were obtained. Functional analysis revealed that the differential membrane proteins were involved in various metabolic pathways, including transport and breakdown, signal transduction, membrane trafficking and environmental response. Two important molecular events that occurred in cellular membrane of replanted R. glutinosa including the imbalance of ROS (Reactive Oxygen Species) metabolism and immune response were identified in this study. When replanted R. glutinosa plants faced the complex environment factors in rhizosphere, the proteins located in cellular membrane were often first activated to response to stress stimulus, resulted in the upregulated expression of a large number of LRR-RLKs (Leucine-rich repeat receptor-like kinases) receptor proteins. Meanwhile, the Ca2+ signal proteins and related receptor proteins transmitted and responded to the replanting stress, which induced severe oxidative stress response in the cell membrane of R. glutinosa, membrane peroxidation, intracellular signal disorder, and eventually produce replanting disease. Our findings provided the theoretical and data foundation for elucidating the key mechanisms associated with replanting stress. © 2021 Friends Science Publishers

 

Keywords: Rehmannia glutinosa L.; Replanting stress; Membrane proteins; Differential proteins; iTRAQ

 


Introduction

 

Rehmannia glutinosa L. (Scrophulariaceae) is one of the commonly used Chinese herbal medicines including many important medicinal active components, such as catalpol, reotide, motherwort glycosides, rhubarb polysaccharides, amino acids, stigmasterol, and relevant pharmacological compounds (Zhang et al. 2020; Chen et al. 2021). Modern pharmacological studies shown that R. glutinosa owned antioxidant, neuroprotective, anti-aging, and other pharmacological effects (Li and Meng 2015; Wang et al. 2015). However, replanting disease seriously limited the production in the cultivation of R. glutinosa. Replanted R. glutinosa grown slowly and suffered from pests and diseases, the leaf area and chlorophyll content of replanted R. glutinosa reduced obviously, resulting in the roots with inability formatted into tuberous roots, which seriously decreased the yield, quality, and active ingredient accumulation (Li et al. 2012a, b; Guo et al. 2013; Yang et al. 2015; Wang et al. 2021). The replanting disease has attracted thus wide attention that required urgent solving in production of R. glutinosa.

Numerous studies shown that replanting disease caused by the changes of the soil properties, the allelochemical autotoxins, and the imbalance of the rhizosphere microbials (Zhu et al. 2007; Zhang et al. 2010). In previous study, many allelochemical autotoxins derived from R. glutinosa including some phenolic acids and flavonoids (Chi et al. 2013). Furthermore, the rhizosphere microbes around replanted R. glutinosa were found to transform from bacteria to fungi, leading to continuous proliferation of numerous pathogenic microorganisms (Lin et al. 2011). In addition, the imbalance of the rhizosphere microbials has been confirmed to mainly induced by rhizosphere allelochemical autotoxins (Wu et al. 2015; Zhang et al. 2018). Based on transcriptomics approach, previous studies found that many important signaling pathway including immune responses, ROS generation, programmed cell death, lignin synthesis, Ca2+ signal transduction and ethylene synthesis were significantly activated in replanted R. glutinosa (Yang et al. 2015; Li et al. 2017). It remained unclear that how these signals were produced under replanting stress and further resulted in the death of replanted plants.

In the process of plants response to environmental factors, the cellular membrane system plays an important role in sensing of environmental changes (Mansour 2012). The plant membrane system was an important subcellular structure that divided different cell units each other, including the plasma membrane, tonoplast, mitochondrial membrane etc. The plant membrane system has been confirmed to play an essential role in responding and sensing external stress factors, such as low temperature, salt, and drought (Osakabe et al. 2013; Janicka-Russak and Kabala 2015). Replanting disease also constitutes a particular type of stress that is associated with allelochemical autotoxins, harmful microorganisms, and their interaction. As the continuous proliferation of rhizosphere microbes and accumulation of allelochemicals, there were many specific receptors in plasma membrane might be used to respond to the stress in replanted R. glutinosa. These receptors likely further induced downstream response. In addition to the receptors presented in the plasma membrane, many channels and receptors located in intracellular membrane were found closely relate to stress response and cell death (Huang et al. 2018). Numerous studies have proved that the formation of replant disease was induced by the micro-ecological imbalance in rhizosphere mediated by allelochemical autotoxins (Qiu et al. 2010; Li et al. 2012a, b; Zhao et al. 2016). However, the replant soil in the rhizosphere was only harmful to R. glutinosa but has no harmful effect on other crops. This indicated that there was a specific signal transduction system in R. glutinosa to sense and respond to the replant stress. Membrane receptor protein is a key factor for plants to respond to environmental stress, replant disease is a complex stress for R. glutinosa. Previous studies have found that the root vitality of replanted R. glutinosa was very low and the membrane peroxidation was seriously (Wu et al. 2015). However, the studies did not involve in membrane proteins that specifically respond to replant stress, and how the plants receive, transmit and respond to the signals was also unknown. The reception of signals is the prerequisite of signal transduction; receptor proteins located in the membrane were the main channels for plants to perceive signals from the external environment. Therefore, study on the membrane receptor proteins in replanted R. glutinosa has the great significance to clarify the death behavior-inducing by replanted practice.

The successful extraction of membrane proteins was important basis for the functional study of differential membrane proteins. The membrane protein extraction methods in animals are relatively established, while the opposite is true for plants. Two main ways of membrane proteins extraction currently exist: one is the two-phase partition method, and another is the membrane protein extraction kit (Pang et al. 2010; Pan et al. 2013). In this study, the extraction efficiency of two ways were compared to obtain a suitable method for the membrane proteins extraction of tuberous roots. Based on above optimized methods, membrane proteins were extracted from the tuberous roots of R. glutinosa. Simultaneously, to screen critical membrane receptor proteins in response to replanting stress, the abundance level and kinds of membrane proteins in R. glutinosa samples identified through iTRAQ technologies. The expression pattern of receptor proteins which under the factors of microbes and allelochemical autotoxins that closely related to replanting disease formation were investigated by qRT-PCR methods. This study provided a theoretical basis for revealing the molecular mechanisms of replanting stress in R. glutinosa.

 

Materials and Methods

 

Experimental materials

 

In this study, the R. glutinosa (cultivar "Wen 85-5", which was widely planted and had high medicinal value, and replanting disease severely affected its yield and medicinal quality) was cultivated in the experimental field which located in Jiaozuo City, Henan province, China (34º48' N to 35º30' N, 112º02' E to 113º 38' E), an R. glutinosa production area. The R. glutinosa were named as the first planted R. glutinosa (FP) which were planted in a section of the experimental field where R. glutinosa had not been planted for 10 years. Moreover, R. glutinosa were named as the second planted R. glutinosa (SP) which were planted in the experimental field where R. glutinosa had been planted in the previous year. A previous study showed that the damage of SP R. glutinosa was most serious at about 90 days after planting (Yang et al. 2014). During the key period of replanting damage to R. glutinosa, we obtained the root samples of FP and SP, three biological replicates respectively, each replicate was 37 plants, we collected root tissues (the entire roots of the FP and SP, pooled and mixed respectively). The samples were collected and stored at -80°C in preparation for downstream experiments.

 

Protein extraction and extraction efficiency analysis of the R. glutinosa root samples

 

In order to select the appropriate membrane protein extraction method of R. glutinosa root tissues, the membrane protein kits and two-phase partition method were used to analyze the concentrations and quality of the extracted membrane proteins. Then the most efficient method was used to extract the membrane proteins of FP and SP samples (three biological replicates respectively, each replicate was 37 plants).

Method 1: Membrane protein extraction kit A (MinuteTM total membrane and plasma membrane extraction kit SM-005; Invent Biotechnologies, Plymouth, Minnesota, USA) (Zhang et al. 2019; Su et al. 2021; Yuan et al. 2021). Extraction processes: 1–1.5 g R. glutinosa root tissue samples were grinded into powder in liquid nitrogen and placed into 1015 mL centrifuge tubes to which 2 mL of buffer A was added. The tubes were mixed for 23 min, centrifuged for 5 min at 500 × g and 4°C, and then transferred the supernatant to a new 2 mL centrifuge tube. The tube was centrifuged for 10 min at 10,000 × g and 4°C, and transferred the supernatant to a new 2.0 mL centrifuge tube and centrifuged for 30 min at 14,000 × g and 4°C. After removing the supernatant (cytoplasmic protein), the remaining pellets was resuspended using 0.3 mL of buffer B by a pipette gun. The resuspension was then transferred to a new centrifuge column and centrifuged for 10 min at 14,000 × g and 4°C, transferred the supernatant to a new 2 mL centrifuge tube to which 1.6 mL of pre-cooled PBS was added. The tube was inverted several times to mix the solution and then centrifuged for 30 min at 14,000 × g and 4°C. The resulting precipitate (pellet) was membrane proteins.

Method 2: Membrane protein extraction kit B (BB-3152-2 plant membrane protein extraction kit; Best Bio Biology) (He et al. 2018; Zhuang et al. 2019; Du et al. 2020). Extraction processes: 2 μL of protease inhibitor was placed into each 500 μL extract A as a reference, and the extract premix was prepared, mixed well, and set it on ice. Then, 11.5 g of R. glutinosa root tissue samples were grinded into powder in liquid nitrogen and added to a pre-cooled 1015 mL centrifuge tube to which 2 mL extract A was added. The tube was mixed and oscillated at 28°C for 2–3 h and then centrifuged for 5 min at 12,000 × g and 2–8°C. Following this, 40 μL extract B was added to the supernatant and mixed thoroughly, and then placed in water bath at 37°C for 10 min. The solution was then centrifuged for 5 min at 1,000 × g and 37°C. Then the solution had divided into two layers, and the upper layer was removed carefully, leaving about 200 μL of liquid at the bottom of the tube. The solution was diluted with 1 to 2 volumes of the membrane protein solution to obtain the membrane protein samples.

Method 3: Two-phase partition method (Santoni 2007). For this method, 11.5 g of root samples were grinded into powder in liquid nitrogen and placed into 1015 mL pre-cooled centrifuge tubes to which 10 mL pre-cooled protein extract was added. The solutions were pumping evenly with a pipette, centrifuged for 15 min at 8,000 × g and 4°C, and transferred the supernatant to a new centrifuge tube, centrifuged for 1 h at 100,000 × g and 4°C (supernatant is the cytoplasmic protein, the pellet is a microsomal fraction). Then, the supernatant was removed and the extraction solution was re-added to the pellet and centrifuged for 1 h at 100,000 × g and 4°C, then, removed the supernatant and the pellet dissolved in a certain amount of extraction solution, and then stored at -80°C.

 

Extraction efficiency analysis of the different membrane protein extraction methods

 

The protein integrity was detected by SDS-PAGE (Sodium Dodecyl Sulfate Polyactylamide Gel Electrophoresis). The extraction efficiency of R. glutinosa root tissue membrane proteins was quantitatively analyzed by BCA kit (Easy II Protein Quantitative Kit, Trans Gen Biotech). The specific analysis processes were as follows: bovine serum albumin (BSA) standard solution was diluted to 500 μg/mL with PBS (Phosphate Buffer Saline). Based on the number of samples, the BCA (Bicinchoninic acid) Solution A and BCA Solution B were diluted in a 50:1 ratio into the working solution, mixed well, and set aside for 24 h at 4°C. Then, eight 1.5 mL centrifuge tubes were numbered respectively and used for the compound of diluted standard solution. After diluting the sample to be tested 10 times with 1 × PBS, 50 μL of the solution was added to 500 μL of BCA working solution. The tube was mixed by oscillation and then placed at 37°C for 3090 min. 5 μL of the reaction product was then obtained and placed in centrifuge tube A as a negative control. The absorbance of the sample was measured with a NanoDrop 2000 spectrophotometer (http://thermofisher.biomart.cn) at a wavelength of 562 nm and a standard curve was constructed to calculate the concentration of the protein samples. Then, 5×loading buffer was added to 20 μg of each diluted protein sample, and then placed in a boiling water bath for 5 min. These were assessed by 12.5% SDS-PAGE electrophoresis (constant current 14 mA, 90 min), stained with Coomassie brilliant blue, and the BSA protein quantified by a spectrophotometer.

 

Classification and identification of the proteins obtained by different membrane protein extraction methods

 

Protein samples with higher extraction efficiency were subjected to protein reductive alkylation and enzymolysis. Based on the FASP (Filter Aided Proteome Preparation) method (Wisniewski et al. 2009) for the enzymolysis of protein, the specific processes were as follows: 20 μg quantitative protein sample was added to five volumes of pre-cooled acetone and set aside at -20°C for 1 h, after which the protein had fully precipitated. Then, centrifuged for 10 min at 12,000 × g and 4°C and the precipitate (pellet) were freeze-dried by vacuum concentration. 10 μL of the protein re-dissolving solution was used to fully dissolve the protein precipitate, to which 40 μL of protein reduction solution was added and then reacted at 37°C for 1 h. Following this, 40 μL of protein alkylation solution (9 mol/L urea, 50 mmol/L IAA, 50 mmol/L NH4HCO3) was added and the solution was then reacted at room temperature for 10 min. The reduced alkylated protein solution was then added to a 10 kD ultrafiltration tube, centrifuged for 20 min at 12,000×g, and then discarded the bottom solution in the collection tube. Ammonium bicarbonate (150 μL 1 mmol/L) was added and centrifuged for 20 min at 12,000 × g. Once again, the bottom solution of the collecting tube was discarded, and this process was repeated three times. The resulting solution was placed in a new collection tube to which 100 μL sequencing grade tryps in solution (5 ng/μL) was added, and the reaction continued at 37°C for 12 h. Following this, the tube was centrifuged for 10 min at 12,000 × g and the digested peptides were collected. 50 μL of ammonium bicarbonate (1 mmol/L) was added to the ultrafiltration tube and centrifuged for 10 min at 12,000 × g. The bottom solution was collected from the tube and combined with the previous solution, and then freeze-dried (lyophilized). To identify the properties of the proteins, the peptide samples obtained after proteolysis were detected by mass spectrometry.

 

Extraction and purification of the root tissue membrane proteins of FP and SP R. glutinosa

 

We used the method 2 (membrane protein extraction kit B) to extract the membrane proteins of R. glutinosa root tissue samples, using the resulting samples for the downstream experiments. Specifically, 30-fold volume (m/v) of SDS (sodium dodecyl sulfate) lysis buffer was added to the resulting membrane protein sample and the pellet was re-suspended by vortex mixing and then placed in a boiling water bath for 5 min, sonicated (80 W, 10 s on, 15 s off, 10 cycles), and then placed back in the boiling water bath for 15min. Following centrifuged for 40 min at 14,000×g, filtered the supernatant through the 0.22 μm membrane and collected the filtrate. The BCA method was used for protein quantification: the samples were aliquot and stored at -80°C. Taken 20 µg of protein from each sample, to which 5 × loading buffer was added, and the tubes were placed in a boiling water bath for 5 min. The protein was quantified using 12.5% SDS-PAGE electrophoresis (constant current 14 mA, 90 min) and Coomassie Brilliant Blue staining. And isobaric tag for relative and absolute quantitation (iTRAQ) analysis was used for the extracted protein samples, and the samples were also chromatographed and analyzed by Q-Exactive mass spectrometry.

 

Data identification method

 

The original mass spectrometry analysis data were in RAW file format, Mascot 2.2 (Matrix Science) and Proteome Discoverer 1.4 software (Thermo Fisher Scientific) were used for library identification and quantitative analysis (Huang et al. 2013). The Gene Ontology (GO) function annotation of the target protein collection using Blast 2 GO, the process can be roughly divided into four steps: Blast, GO entry extraction, GO annotation, and supplementary annotation. In the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, KO (KEGG Orthology) is a classification system of genes and their products. Orthologs and their products with similar functions in the same pathway are grouped together and given the same KO (or K) tag. The Pathway Enrichment Analytics free online database analysis software tool Omic Share (www.omicshare.com/tools) was used for the enrichment analysis.

 

PCR detection of pathogen infection in R. glutinosa

 

Fusarium oxysporum f. spp. is a specific pathogen that our research team isolated from the rhizospheric soil of replanted R. glutinosa. Our preliminary experiments have confirmed that the rhizosphere allelochemical autotoxin of SP R. glutinosa can significantly promote F. oxysporum proliferation (Li et al. 2016). In this study, we used F. oxysporum to infect R. glutinosa, and obtained root samples when the infected R. glutinosa started exhibiting symptoms of infection. The root samples were subjected to electron microscopic analysis and DNA extraction. PCR primers were designed for the pathogenic fungi according to the reported conserved sequences in the fungal ribosomal transcribed spacer region. The primers of F. oxysporum are ITS1-F (5'- CTTGGTCATTTAGAGGAAGTAA-3') and ITS4-R (5'-TCCTCCGCTTATTGATATGC-3') were synthesized with reference to Wu et al. (2015) (Sun Ya Biotechnology Co., Ltd. Fuzhou, China). The PCR reaction mixture was 20 μL, consisting of 1.6 μL of dNTPs (25 μmol/L), 2.0 μL of 10 × ETaq buffer (containing Mg2+), 1 μL of primer (10 μmol/L), 0.1 μL of ETaq enzyme, 1 μL template DNA (10 ng), and 13.3 μL H2O (Sangon Biotech). The PCR reaction conditions were as follows: pre-denaturation at 95°C for 5 min, followed by 35 cycles of denaturation at 95°C for 30 s, annealing at 55°C for 45 s, extension at 72°C for 1 min, and a final extension at 72°C for 3 min. After the reaction, the products were stored at 4°C for later use. DL Marker 2000 (Sangon Biotech) was used as a standard molecular marker and the PCR products were detected by 1% agarose gel electrophoresis. The relative gene expression of the genes was calculated using the 2-△△Ct method (Livak and Schmittgen 2001).

 

Results

 

Validity analysis of the membrane proteins extraction methods

 

In order to effectively extract membrane proteins from the root tissue of R. glutinosa, three methods were used for extraction respectively. As a result, there were obvious differences in the protein concentrations obtained by the three methods, in which, 23 μg/mL of the protein abundance extracted by method 1, 400 μg/mL of the protein abundance extracted by method 2, and 580 μg/mL of the protein abundance extracted by method 3. The protein concentration obtained by method 1 was relatively lower in comparison to other two methods and did not fully meet the requirements for further protein experiments. Thus, method 2 and method 3 were further compared for the efficiency of membrane protein extraction. The candidate membrane proteins obtained by method 2 and method 3 were analyzed by LC-MS/MS, and the peptide fragments obtained were aligned with the database of R. glutinosa total proteins. There were 870 and 526 proteins were extracted by the method 2 and method 3, respectively, of which, 532 and 289 proteins were respectively clearly annotated as membrane proteins. Therefore, method 2 indicated have better enrichment efficiency of membrane proteins compared to the method 3. Finally, method 2 was used for the differential membrane proteins analyses of the FP and SP R. glutinosa.

 

Membrane protein library construction of the FP and SP R. glutinosa

 

To study the differentially expressed membrane proteins between the FP and SP R. glutinosa, the membrane proteins of the FP and SP R. glutinosa root tissues (each sample three biological replicates) were extracted by method 2. The acquired proteins were identified by the iTRAQ technique. By comparing the results of iTRAQ and LC-MS/MS with earlier constructed R. glutinosa proteomics database, a total of 4,285 proteins were obtained from the FP and SP, including 1,753 non-annotated and 2,532 annotated proteins in the UniProtKB database. Moreover, 1,465 out of 2,532 were identified as membrane proteins, which contain plasma membrane, chloroplast membrane, mitochondrial membrane, Golgi membrane etc. The extraction rate of membrane proteins reached 57.86% (Fig. 1c). The highest peptide coverage was 73.13% and there were 1,700 proteins with a coverage degree over 10. A total of 1,837 proteins were detected in the samples of SP R. glutinosa, of which 633 had ≥ 2 unique peptides. A total of 2,541 proteins were detected in the FP R. glutinosa, of which 1,006 had ≥ 2 unique peptides. The obtained protein sequences provided the basis for the further identification of differential membrane proteins between the FP and SP R. glutinosa.

 

Difference analysis of the root membrane proteins between the FP and SP R. glutinosa

 

In order to identify the membrane proteins which respond to replanting stress, we screened out 912 differential proteins between the FP and SP samples based on the P < 0.05 and > 1.2 fold. A total of 214 non-membrane proteins were removed from the 912 differentially expressed proteins through the UniProt online software. The remaining 698 proteins were annotated as membrane proteins, of which, there were 339 membrane proteins were up-regulated, 359 membrane proteins were down-regulated in the SP R. glutinosa (Fig. 1a, b).

To analyze the functions of the differential membrane proteins between the FP and SP R. glutinosa, we assessed those proteins using GO and KEGG. Among up-regulated expressed membrane proteins in the SP R. glutinosa, a total of 339 differential membrane proteins matched to 5,341 GO entries, 330 GO terms were obtained by GO enrichment analysis. Those proteins mainly involved in trans-membrane transport, vesicle-mediated transport, intracellular transport, protein transport, and ion transport (Fig. 2a, Fig. 3a). Among the 359 down-regulated membrane proteins in the SP R. glutinosa, a total of 336 GO terms were obtained by GO enrichment analysis, mainly included response to chemical stimulation, metabolism of small-molecule metabolites, and response to stress (Fig. 2b, Fig. 3b). Cellular location analysis showed that the differential membrane proteins were localized to the cellular membrane (GO: 0016020 [1.64e-13]).

KEGG functional analysis was performed on the screened differentially expressed membrane proteins. There were 340 metabolic pathways were significantly enriched, of which, 161 pathways in carbohydrate metabolism (such as starch and sucrose metabolism, glycolytic or gluconeogenesis, pentose phosphate pathway, and ascorbate metabolism), 18 pathways in plant-pathogen interaction, 42 pathways were participated in protein folding, sorting, and degradation processes (endoplasmic reticulum protein synthesis, protein export, RNA degradation etc.), 56 in transcriptional translation processes (such as ribosomes, RNA transport), 47 in protein transport and degradation pathways, including endocytosis, peroxisomes, phagosomes and autophagy, and 24 in signal transduction pathways and membrane trafficking (e.g., plant hormone signaling, phosphoinositide signaling transduction, ABC transporter). In addition, 30 significantly enriched pathways were associated with metabolite transport pathways, including endoplasmic reticulum protein processing, amino acid biological processes, carbon metabolism, sucrose and starch metabolism, oxidative phosphorylation, and secondary metabolism (terpenoids, polyketides metabolism etc.) (Fig. 4a). The up-regulated expressed membrane proteins in SP R. glutinosa were mainly involved in protein synthesis in the endoplasmic reticulum, glycerophospholipid metabolism, oxidative phosphorylation, endocytosis, phagosomes, sucrose and starch metabolism, protein export, quinone biosynthesis, and other secondary metabolism (Fig. 4b). The down-regulated expressed membrane proteins in SP R. glutinosa were primarily involved in carbon metabolism, amino acid biosynthesis, glycolysis and gluconeogenesis, peroxisomes, pentose phosphate pathway, and carbon assimilation within photosynthetic tissues (Fig. 4c).

 

Integration analysis of differentially expressed membrane proteins between FP and SP R. glutinosa root samples

 

Figure 1.tif

 

Fig. 1: Differently expressed proteins in root tissue of FP and SP R. glutinosa (a) iTRAQ protein differential expression profile: P-value < 0.05, the threshold of variation difference was 1.2 folds, which means that SP/FP values more than 1.2 folds or less than 0.83 were considered differentially expressed, (b) Analysis and statistics of the differentially expressed proteins, (c) Positional distribution of differential proteins in root tissue of SP and FP R. glutinosa

FP= the R. glutinosa first planted in the field; SP= the R. glutinosa replanted in the same field continuously

 

Figure 2.tif

 

Fig. 2: GO enrichment analysis of the biological process part, cellular component part, and molecular function part about differently expressed membrane proteins (a) significantly up-regulated expressed membrane proteins in replanted R. glutinosa, (b) significantly down-regulated expressed membrane proteins in replanted R. glutinosa

 

In order to describe the function of differential membrane proteins in more detail, a comprehensive functional classification of those proteins was conducted based on the annotations of the GO, KEGG, and Nr databases. The results indicated that differential membrane proteins were involved in various metabolic pathways, including transport and breakdown, signal transduction, terpene and polyketide metabolism, membrane trafficking and environmental response (Table 1). We also identified a large number of membrane receptor proteins (such as LRR-RLK, G-protein coupled receptors, interleukins) in the SP R. glutinosa. It is noteworthy that there were 18 differential membrane proteins involved in plant pathogen interaction, including LRR-RLK protein kinase, calmodulin, and calcium-dependent protein kinase, which indicated that the pathogenic bacterial invasion is one of the factors inducing replanting disease of R. glutinosa. In addition, 44 proteins involved in endocytosis, phagosomes, and peroxisomes, indicated that metabolism and signal transduction in SP R. glutinosa were active. At the same time, there were 13 proteins involved in the sensing and transduction of hormonal signals (including gibberellin, auxin, and brassinolide), which implied that hormones played the important regulatory role in response to replanting stress.

Table 1: The main classifications of the differentially expressed membrane proteins between FP and SP R. glutinosa

 

Class

Pathway

Protein Number

Proteins

Transport and catabolism

Endocytosis

22

PRAF1PIP5KDNMHSPA4RAB7AVPS23VPS28VPS4…

Peroxisome

11

IDH1ACOX1CATACAA1PEX3PEX7PMP34…

Phagosome

11

ATPeV1DATPeV1GRAC1RAB…

Signal transduction

Plant hormone signal transduction

13

PTI1AUX1TIR1GH3GID1SNRK2BSKBIN2CTR1…

Phosphatidylinositol signaling system

6

PI4KBPIP5KDGKPTENCALM

Metabolism of terpenoids and polyketides

Terpenoid backbone biosynthesis

6

atoBSDSchlPDHDDSFLDH

Membrane transport

ABC transporters

5

ABCB

Lipid metabolism

Glycerophospho lipid metabolism

18

DGKHM13plcCPRAF1LYPLA2…

Ether lipid metabolism

13

PLDa1PRAF1LPCATLPT1…

alpha-Linolenic acid metabolism

9

EPT1EIF3DACAA1OPCL1HPL…

Glycerolipid metabolism

8

ALDHDGKgalAAGPAT9AGPAT8LPT1…

Fatty acid degradation

7

ALDHatoBACOX1ACAA1...

Steroid biosynthesis

6

DHCR7CASCYP51SMT2CPI1CYP710A

Environmental adaptation

Plant-pathogen interaction

18

CALMHSP90BCDPKPTI1LRR-RLKPTI1CMLRPM1…

FP = the R. glutinosa first planted in the field; SP= the R. glutinosa replanted in the same field continuously

 

Figure 3.tif

 

Fig. 3: GO enrichment analysis of differently expressed membrane proteins (a) up-regulated expressed membrane proteins in replanted R. glutinosa, (b) down-regulated expressed membrane proteins in replanted R. glutinosa

 

In this study, we discovered 10 up-regulated LRR-RLKs proteins closely related to the immune system in the SP R. glutinosa. Through the evaluation on the receptor kinase activity of these LRR-RLKs, we were able to assess the invasion degree of pathogenic microorganism in the replanting soil. LRR-RLKs were important membrane proteases that activated the phosphorylation of intracellular kinase domains through the specific binding of extracellular signal-receiving sites to extracellular molecules, thereby accomplished transmembrane signal transduction. LRR-RLKs play an essential role in pathogen infection in plants. In order to further confirm the role of LRR-RLKs in the formation of replanting stress, we infected the roots of R. glutinosa plants with F. oxysporum, an SP R. glutinosa rhizosphere-specific pathogenic fungi isolated by our research team in previous studies. As a result, we found that F. oxysporum significantly induced the up-regulated expression of LRR-RLKs genes (Unigene7473_All, CL4884.Contig2_All and CL7625.Contig2_All). The expression of these genes was consistent with our previous studies (Fig. 5).

Discussion

 

Plant cell membranes play the important role in sensing Text Box:  

Fig. 4: Pathway enrichment analysis of differently expressed membrane proteins (a) total differently expressed membrane proteins between FP and SP R. glutinosa, (b) up-regulated membrane proteins in replanted R. glutinosa, (c) down-regulated membrane proteins in replanted R. glutinosa
FP= the R. glutinosa first planted in the field; SP= the R. glutinosa replanted in the same field continuously
external signals, dividing organelles, ion exchange, and responding to 图5.tif

 

Fig. 5: LRR-RLKs expression analysis in FP and SP R. glutinosa (a) Root electron microscopy analysis of R. glutinosa under F. oxysporum (FO) infection, (b) Key LRR-RLKs expression analysis in FP and SP R. glutinosa, (c) Key LRR-RLKs expression analysis in FP and the R. glutinosa infected by F. oxysporum (FO)

LRR-RLKs = Leucine-rich repeat receptor-like kinases; FO= R. glutinosa infected by F. oxysporum

FP = the R. glutinosa first planted in the field; SP= the R. glutinosa replanted in the same field continuously

 

external stresses. Therefore, the membrane system was important to survive of plants and the important channel for communicating with environment (Liu et al. 2014; Sun and Wang 2009). Replanting disease mainly caused by the change of soil physical and chemical properties, allelochemical autotoxicity, and the imbalance of rhizosphere microbials (Lin et al. 2011, 2015; Wu et al. 2015; Zhang et al. 2018). The root membrane system may be plays the important role in sensing and responding to replanting stress. The study on the key membrane proteins in response to replanting stress is thus important for analyzing the formation mechanism of replanting disease in R. glutinosa.

After removing the non-membrane proteins, function analysis revealed that the differential membrane proteins which related to immune system, calcium signal response, and reactive oxygen species (ROS) metabolism were up-regulated in the SP R. glutinosa. In this study, 10 LRR-RLKs proteins closely related to the immune system were up-regulated in the SP R. glutinosa. LRR-RLKs are the important membrane proteins in response to pathogen infection, and usually play the important role in plant defense response, growth and development, and hormone regulation (Osakabe et al. 2013; Wu and Zhou 2013; He and Wu 2016). LRR-RLKs receptor proteins were induced under various stress conditions (such as pathogen infection, high salt, abscisic acid or injury, etc.) (Jung et al. 2004; Laura et al. 2009; Yang et al. 2012). Previous studies found that the rhizosphere microbes in SP R. glutinosa largely changed from bacterial to fungal, which led to proliferation of large number of pathogenic microorganisms (Chen et al. 2008; Lin et al. 2011). Numerous studies have confirmed that the microecological imbalance in rhizosphere mediated by allelochemical autotoxins promoted the formation of replanting disease (Qiu et al. 2010; Li et al. 2012a, b; Zhao et al. 2016). Fusarium oxysporum, a rhizosphere-specific pathogenic fungi of SP R. glutinosa isolated by our research team in previous studies (Li et al. 2016). To further confirm the role of LRR-RLKs in the SP R. glutinosa, R. glutinosa plants were inoculated in vitro using F. oxysporum. F. oxysporum significantly induced the up-regulation of LRR-RLKs genes (Unigene7473_All, CL4884.Contig2_All and CL7625.Contig2_All), which further confirmed the relationship between the rhizosphere pathogen in SP R. glutinosa and the death of replanting plants.

Replanting stress induced membrane peroxidation in root tissue cells of R. glutinosa. The immune response triggered by pathogenic microbes rapidly induced downstream signaling transduction including calcium signaling, ROS and other signaling pathways, which further activate the expression of resistance genes (Poltronieri 2017; Zhou and Zhang 2020). In plants, active oxygen was involved in the earlier response to both biotic and abiotic stresses. Stresses could significantly induce the production of various forms of ROS, such as superoxide, hydrogen peroxide (H2O2), and hydroxyl radicals (Omar et al. 2020). The massive accumulation of ROS destroyed the redox balance in plant cells and resulted in the oxidative damage to cellular biomolecules, such as lipids, proteins, and nucleic acids (Cheng et al. 2013). Plants eliminated excessive ROS mainly through antioxidant enzymes (such as superoxide dismutase, peroxidase, and catalase), reduced lipid peroxidation, improved cell metabolism, and ultimately alleviated the oxidative damage caused by stress. In this study, seven types of peroxisome-related proteins were identified, of which, there were three POD and two ACOX1 were significantly down-regulated in replanted R. glutinosa. In plants, ACOX1 catalyzes acyl-CoA combined with oxygen, and formed trans-2, 3-dehydroacyl-CoA and H2O2. In addition, in cellular membrane, the phospholipase D were found to induce H2O2 biosynthesis. For example, Qu et al. (2014) discovered that the up-regulated expression of the PLD gene in Vicia faba root tips and Arabidopsis thaliana could induce stomatal closure and H2O2 production (Qu et al. 2014). More importantly, Phospholipase D (PLD, EC 3.1.4.4) is a type of lipolytic enzyme that hydrolyzes lecithin, phosphatidylethanolamine, and phosphatidylglycerol under the induction of Ca2+, and αPLD also hydrolyzed phosphatidylinositol diphosphate under acidic or Ca2+stimulation (Rahier et al. 2016). Previous studies have found that calcium signaling deeply involved in the formation of R. glutinosa replanting disease (Yang et al. 2015). Furthermore, some studies on replanting disease in other plants demonstrated that calcium signaling play the important role in response to allelochemical stress (Chi et al. 2011). Therefore, calcium signaling-related proteins might participate in the replanting disease as the downstream of receptor protein kinases. The up-regulated expression of the PLD proteins and cellulose synthase in the SP R. glutinosa root cells might lead to the lipid peroxidation of the cell membrane and disruption of cell membrane structure. Overview, the differential expression of the identified enzymes related to H2O2 synthesis was up-regulated in the SP R. glutinosa root cells, while catabolism decreased, which led to oxidative stress in the root cells. Excess H2O2 in the cell oxidized cell membrane structure and destroyed biofilm structure.

In conclusion, based on the extraction of membrane proteins and iTRAQ technology, two important molecular events that occurred in cellular membrane of replanted R. glutinosa including the imbalance of ROS metabolism and immune response, were identified in this study. More importantly, this cellular process has obviously proved to relate to the formation of replanting disease in previous studies (Li et al. 2017; Chen and Fluhr 2018). When replanted R. glutinosa faced the complex environment factors in rhizosphere, the proteins located in cellular membrane were often first activated and respond to stress stimulus. At the same time, some critical cellular process including the ubiquitin-mediated proteolytic enzymes, RNA transporters, phytopathogenic interacting proteins, and dicarboxylic acid metabolism-related proteins were significantly regulated in replanted R. glutinosa. Formation of replanting disease was induced by multiple stress factors that mainly consisted of allelochemicals, microbes in rhizosphere and their interactions (Zhao et al. 2015; Wu et al. 2017). Replanting stress was a complex stress, which caused severe osmotic damage and membrane peroxidation in the root cells of the replanted R. glutinosa. Therefore, the response process mediated by replanting stress may also be a cellular process induced by the interaction of multiple proteins. This study confirmed the key damage events induced by replanting stress through the analysis of differential membrane proteins between FP and SP R. glutinosa, although the specific regulatory relationships of these differential membrane proteins and their signal transduction processes will still require further experimental verification, our findings provide the data foundation for exploring the formation mechanism of replanting disease.

 

Conclusion

 

This study screened a suitable method for extracting membrane proteins from the root tissue of R. glutinosa. This extract method could highly effectively extract the membrane proteins from R. glutinosa root tissue, the content of membrane proteins reached 61.15%. The extracted membrane proteins were located in the membrane structures of various organelles, and had the rich varieties. Based on this, the differentially expressed membrane proteins in the root tissues of FP and SP were identified. When SP R. glutinosa plants faced the complex environment factors in rhizosphere, the stability of membrane structure was damaged, root cells formed the cell signal transduction through the endocytosis by phagosomes, transmembrane transport metabolism (dicarboxylic acid metabolism), proteins export, and related metabolic regulation processes. Root tissue cells of SP induced the external environmental signals, activated corresponding metabolic processes and changed the process of protein transcription, translation and folding by regulating the expression level of membrane proteins, and eventually led to the replanting disease of R. glutinosa. These results provided the theoretical basis for completing signal transduction pathway of replanted R. glutinosa and elucidating the key mechanisms associated with replanting stress.

 

Acknowledgements

 

This study was supported by the National Natural Science Foundation of China (Grant No. 81573538, 81503193, 81603243 and 81403042) and the Key Scientific Research Project of the higher Education Institutions of Fujian Province of China (No. JK2015013).

 

Author Contributions

 

FJF, CYY and SYZ designed and performed the research, analyzed data and wrote the manuscript. FJF, MJL, SQC, LG, BZ and AGC participated to analyze data and helped in drafting the manuscript. ZYZ contributed to the interpretation of results and coordinated the study. All authors have read and approved the final draft.

Conflicts of Interest

 

Authors declare no conflict of interest.

 

Data Availability

 

Data presented in this study will be available on a fair request to the corresponding author.

 

Ethics Approval

 

Not applicable in this paper

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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