Disease Resistance Mechanisms Research Articles

Silica Nanoparticles Enhance the Disease Resistance of Ginger to Rhizome Rot during Postharvest Storage

Silica nanoparticles (SiNPs) offer an ecofriendly and environmentally safe alternative for plant disease management. However, the mechanisms of SiNPs-induced disease resistance are largely unknown. This research evaluated the application of SiNPs in controlling the postharvest decay of ginger rhizomes inoculated with Fusarium solani. In vitro study showed that SiNP had little inhibitory effect on mycelial growth and spore germination of F. solani and did not significantly change mycelium’s MDA content and SDH activity. In vivo analysis indicated that SiNPs decreased the degree of decay around the wounds and decreased the accumulation of H2O2 after long-term pathogenic infection through potentiating the activities of antioxidant enzymes such as SOD, APX, PPO, and CAT. SiNP150 increased the CHI, PAL, and GLU activity at the onset of the experiment. Moreover, SiNP150 treatment increased total phenolics contents by 1.3, 1.5, and 1.2-times after 3, 5, and 7 days of treatment, and increased total flavonoids content throughout the experiment by 9.3%, 62.4%, 26.9%, 12.8%, and 60.8%, respectively. Furthermore, the expression of selected phenylpropanoid pathway-related genes was generally enhanced by SiNPs when subjected to F. solani inoculation. Together, SiNPs can effectively reduce the fungal disease of ginger rhizome through both physical and biochemical defense mechanisms.

Architecture for Fault Tolerance in Mobile Cloud Computing using Disease Resistance Approach

The mobile cloud computing (MCC) is one of the emerging fields in the distributed computing. MCC is an integration of both mobile computing and cloud computing. The limitations of the mobile devices are storage, battery and processing proficiency.These sensitive characteristics of mobile devices can be effectively handled with the introduction of cloud computing. The increasing functionality of the cloud and complexity of the applications causes resource failures in the cloud computing and it reduces the overall performance of the MCC environment. On the other hand, the existing approaches for resource scheduling in MCC proposed several architectures and they are only concentrated on the allocation of resources. The existing architectures are lack of fault tolerance mechanism to handle the faulty resources. To overcome the issues stated above, this paper proposes architecture for fault tolerance in MCC using Disease Resistance approach (DRFT). The main aim of the DRFT approach is to effectively handle the faultyVMs in the MCC. This DRFT approach utilizes the human disease resistance mechanism which is used as materials and methods in the proposed model. The DRFT is capable of identifying the faulty virtual machines and reschedules the tasks to the identified suitable virtual machines. This procedure ultimately leads to minimization of makespan value and it improves the overall performance of the scheduling process. To validate the effectiveness of the proposed approach, a series of simulations has been carried out using CloudSim simulator. The performance of the proposed DRFT approach is compared with the Dynamic group based fault tolerance approach (DGFT-approach). The makespan value of DRFT is reduced to 7% and the performance of DRFT is increased when compare to the DGFT approach. The experimental results show the effectiveness of the proposed approach.

Bioactive Lipids as Chronic Myeloid Leukemia's Potential Biomarkers for Disease Progression and Response to Tyrosine Kinase Inhibitors.

Chronic myelogenous leukemia (CML) is a myeloproliferative neoplasm that expresses the Philadelphia chromosome and constitutively activated Bcr-Abl tyrosine kinase in hematopoietic progenitor cells. Bcr-Abl tyrosine-kinase inhibitors (TKI) do not definitively cure all CML patients. The efficacy of TKI is reduced in CML patients in the blastic phase—the most severe phase of the disease—and resistance to this drug has emerged. There is limited knowledge on the underlying mechanisms of disease progression and resistance to TKI beyond BCR-ABL1, as well as on the impact of TKI treatment and disease progression on the metabolome of CML patients. The present study reports the metabolomic profiles of CML patients at different phases of the disease treated with TKI. The plasma metabolites from CML patients were analyzed using liquid chromatography, mass spectrometry, and bioinformatics. Distinct metabolic patterns were identified for CML patients at different phases of the disease and for those who were resistant to TKI. The lipid metabolism in CML patients at advanced phases and TKI-resistant patients is reprogrammed, as detected by analysis of metabolomic data. CML patients who were responsive and resistant to TKI therapy exhibited distinct enriched pathways. In addition, ceramide levels were higher and sphingomyelin levels were lower in resistant patients compared with control and CML groups. Taken together, the results here reported established metabolic profiles of CML patients who progressed to advanced phases of the disease and failed to respond to TKI therapy as well as patients in remission. In the future, an expanded study on CML metabolomics may provide new potential prognostic markers for disease progression and response to therapy.

Physiological and Molecular Responses of Zoysia japonica to Rust Infection.

Zoysiagrass (Zoysia japonica) is a popular turfgrass species and is widely used for sport turf and urban landscape. Zoysiagrass is often infected by Puccinia zoysiae, which causes a loss in turf quality. The physiological and molecular mechanisms of rust resistance are poorly understood in this species. In this study, the rust-resistant and susceptible lines of zoysiagrass were inoculated with P. zoysiae, and alterations of leaf cell structure, physiological indicators and transcriptomic response were investigated at the various stages of inoculation. After inoculation, the cell membranes, nucleus, mitochondria, and chloroplast were all impaired, followed by abnormal physiological metabolism. The damage occurred earlier and more severely in the susceptible line. Changes in electrolyte leakage and chlorophyll content varied with the genotype and the inoculation stages. The transcriptome analysis showed that plant hormones, MAPK signal transduction pathway, photosynthesis and energy generation pathways were significantly enriched in the early response, in both the resistant and susceptible lines. The results provided insights into the physiological and molecular mechanisms of rust disease resistance and would benefit the breeding of rust-resistant varieties in zoysiagrass and related turfgrass species.

BpEIL1 negatively regulates resistance to Rhizoctonia solani and Alternaria alternata in birch.

Pathogen attacks affect tree health, causing considerable economic losses as well as serious damage to the surrounding environment. Understanding the disease resistance mechanisms of trees is important for tree breeding. In previous studies on birch (Betula platyphylla × B. pendula), we identified a lesion mimic mutant called lmd. We found that reduced expression of BpEIL1 was responsible for the phenotype in lmd. Following cloning, we acquired several BpEIL1 overexpression and suppression lines in birch. In this study, we cloned the BpEIL1 promoter and found that BpEIL1 was primarily expressed in leaves, particularly in veins. We further studied the traits of transgenic lines and the function of BpEIL1 in disease resistance in birch using the BpEIL1 overexpression line OE9, the suppression line SE13 and the non-transgenic line NT. We found that hydrogen peroxide accumulated in SE13 leaves. Ascorbate peroxidase and catalase activity significantly increased in SE13. SE13 was more resistant to the fungal pathogens Alternaria alternata and Rhizoctonia solani than were the OE9 and NT lines. RNA-seq indicated that pathways related to signal transduction, disease resistance and plant immunity were enriched in SE13. BpEIL1 is thus a negative regulatory transcription factor for disease resistance in birch. This study provides a reference for disease resistance of birch and other trees.

Transcriptome Analysis of the Kidney of Obscure Puffer, Takifugu obscurus, Challenged with Poly(I:C).

Obscure puffer, Takifugu obscurus, is an important aquaculture species in China, but the disease problem of this species seriously affects its production and causes huge economic losses. In order to reveal the molecular mechanism of disease resistance, polyinosinic-polycytidylic acid [poly(I:C)] was used to stimulate obscure puffer. At 0, 12, and 48 h (named To0, To12, and To48) after poly(I:C) challenge, the kidneys from obscure puffer were collected for transcriptome sequencing. A total of 54,816 transcripts was generated. Pairwise comparison of the sequencing libraries of tissue samples at these three time points revealed that the number of differentially expressed genes (DEGs) at To12 vs To0, To48 vs To0, and To48 vs To12 were 2039, 776, and 2579, respectively. Gene Ontology (GO) function classification analysis revealed that some DEGs were annotated to GO items for membrane, biological process, molecular function, and metabolic process. Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) analysis of DEGs demonstrated that they mainly presented in immune-related pathways, such as Toll-like receptor signaling pathway, Retinoic acid-inducible gene-I-like receptor signaling pathway and NOD-like receptor signaling pathway. Then, eight genes were randomly selected from immune-related genes for real-time quantitative reverse transcription PCR verification (RT-qPCR), and 22 key immune DEGs were used to construct network functions. This study has obtained a large number of information resources about the transcriptome of obscure puffer, which can provide references for further research on the anti-virus response of obscure puffer.

BRASSINOSTEROID-SIGNALING KINASE1 modulates MAP KINASE15 phosphorylation to confer powdery mildew resistance in Arabidopsis.

Perception of pathogen-associated molecular patterns (PAMPs) by plant cell surface-localized pattern-recognition receptors (PRRs) triggers the first line of plant innate immunity. In Arabidopsis thaliana, the receptor-like cytoplasmic kinase BRASSINOSTEROID-SIGNALING KINASE1 (BSK1) physically associates with PRR FLAGELLIN SENSING2 and plays an important role in defense against multiple pathogens. However, how BSK1 transduces signals to activate downstream immune responses remains elusive. Previously, through whole-genome phosphorylation analysis using mass spectrometry, we showed that phosphorylation of the mitogen-activated protein kinase (MAPK) MPK15 was affected in the bsk1 mutant compared with the wild-type plants. Here, we demonstrated that MPK15 is important for powdery mildew fungal resistance. PAMPs and fungal pathogens significantly induced the phosphorylation of MPK15 Ser-511, a key phosphorylation site critical for the functions of MPK15 in powdery mildew resistance. BSK1 physically associates with MPK15 and is required for basal and pathogen-induced MPK15 Ser-511 phosphorylation, which contributes to BSK1-mediated fungal resistance. Taken together, our data identified MPK15 as a player in plant defense against powdery mildew fungi and showed that BSK1 promotes fungal resistance in part by enhancing MPK15 Ser-511 phosphorylation. These results uncovered a mechanism of BSK1-mediated disease resistance and provided new insight into the role of MAPK phosphorylation in plant immunity.

A Maize Necrotic Leaf Mutant Caused by Defect of Coproporphyrinogen III Oxidase in the Porphyrin Pathway.

Lesion mimic mutants provide ideal genetic materials for elucidating the molecular mechanism of cell death and disease resistance. The maize necrotic leaf mutant (nec-t) is a recessive mutant with necrotic spots and yellow-green leaves. In this study, we found that nec-t was a light and temperature-dependent mutant. Map-based cloning and the allelic test revealed that nec-t was a novel allelic mutant of the Necrotic4 gene. Necrotic4 encodes the coproporphyrinogen III oxidase (CPX1), a key enzyme in the tetrapyrrole pathway, catalyzing coproporphyrinogen III oxidate to protoporphyrinogen IX. Subcellular localization showed that the necrotic4 protein was localized in the chloroplast. Furthermore, RNA-seq analysis showed that the Necrotic4 mutation caused the enhanced chlorophyll degradation and reactive oxygen species (ROS) response. The mechanism of plant lesion formation induced by light and temperature is not clear. Our research provides a basis for understanding the molecular mechanism of necrosis initiation in maize.

Comparative physiological and transcriptomic profiles reveal regulatory mechanisms of soft rot disease resistance in Amorphophallus spp.

Amorphophallus spp. are important industrial crops in Southwest China. Unfortunately, bacterial disease is one of the factors limiting the development of the Amorphophallus spp. industry. Soft rot can be caused by the pathogen Pectobacterium carotovorum subsp. carotovorum (Pcc) and leads to large-scale losses in Amorphophallus spp. quality and production. However, the mechanisms underlying the response of Amorphophallus spp. to Pcc remain largely unknown. This study compared two species of Amorphophallus, A. muelleri and A. konjac, to explore Pcc resistance by combined physiological and transcriptome analysis. On the basis of phenotype analysis, A. muelleri exhibited higher resistance to Pcc than A. konjac. Moreover, the transcriptomes of A. muelleri and A. konjac were assembled, and differentially expressed genes (DEGs) were annotated. Significant categories including the plant hormone transduction pathway, phenylpropanoid biosynthesis pathway and plant pathogen interaction pathway were identified. Among these pathways, small auxin upregulated RNA (SAUR), ethylene responsive transcription factor 1 (ERF1), 4-coumarate-CoA ligase (4CL), peroxidase (POD), WRKY transcription factor, Ca2+ sensor-related and mitogen-activated protein kinase (MAPK) genes were upregulated in A. muelleri, which may be involved in the regulation of energy, oxidative stress and signal transduction upon exposure to Pcc infection. The transcription levels of four selected genes were further verified by quantitative real-time PCR. Overall, this study identifies several critical genes involved in resistance to soft rot disease in Amorphophallus spp. and provides a theoretical foundation for identifying potential targets for metabolic engineering for disease control.

Back to the wild: mining maize (Zea mays L.) disease resistance using advanced breeding tools.

Cultivated modern maize (Zea mays L.) originated through the continuous process of domestication from its wild progenitors. Today, maize is considered as the most important cereal crop which is extensively cultivated in all parts of the world. Maize shows remarkable genotypic and phenotypic diversity which makes it an ideal model species for crop genetic research. However, intensive breeding and artificial selection of desired agronomic traits greatly narrow down the genetic bases of maize. This reduction in genetic diversity among cultivated maize led to increase the chance of more attack of biotic stress as climate changes hampering the maize grain production globally. Maize germplasm requires to integrate both durable multiple-diseases and multiple insect-pathogen resistance through tapping the unexplored resources of maize landraces. Revisiting the landraces seed banks will provide effective opportunities to transfer the resistant genes into the modern cultivars. Here, we describe the maize domestication process and discuss the unique genes from wild progenitors which potentially can be utilized for disease resistant in maize. We also focus on the genetics and disease resistance mechanism of various genes against maize biotic stresses and then considered the different molecular breeding tools for gene transfer and advanced high resolution mapping for gene pyramiding in maize lines. At last, we provide an insight for targeting identified key genes through CRISPR/Cas9 genome editing system to enhance the maize resilience towards biotic stress.

Pathogen resistance in Sphagneticola trilobata (Singapore daisy): molecular associations and differentially expressed genes in response to disease from a widespread fungus.

Understanding the molecular associations underlying pathogen resistance in invasive plant species is likely to provide useful insights into the effective control of alien plants, thereby facilitating the conservation of native biodiversity. In the current study, we investigated pathogen resistance in an invasive clonal plant, Sphagneticola trilobata, at the molecular level. Sphagneticola trilobata (i.e., Singapore daisy) is a noxious weed that affects both terrestrial and aquatic ecosystems, and is less affected by pathogens in the wild than co-occurring native species. We used Illumina sequencing to investigate the transcriptome of S. trilobata following infection by a globally distributed generalist pathogen (Rhizoctonia solani). RNA was extracted from leaves of inoculated and un-inoculated control plants, and a draft transcriptome of S. trilobata was generated to examine the molecular response of this species following infection. We obtained a total of 49,961,014 (94.3%) clean reads for control (un-inoculated plants) and 54,182,844 (94.5%) for the infected treatment (inoculated with R. solani). Our analyses facilitated the discovery of 117,768 de novo assembled contigs and 78,916 unigenes. Of these, we identified 3506 differentially expressed genes and 60 hormones associated with pathogen resistance. Numerous genes, including candidate genes, were associated with plant-pathogen interactions and stress response in S. trilobata. Many recognitions, signaling, and defense genes were differentially regulated between treatments, which were confirmed by qRT-PCR. Overall, our findings improve our understanding of the genes and molecular associations involved in plant defense of a rapidly spreading invasive clonal weed, and serve as a valuable resource for further work on mechanism of disease resistance and managing invasive plants.

A SA-regulated lincRNA promotes Arabidopsis disease resistance by modulating pre-rRNA processing

Regulation of gene expression at translational level has been shown critical for plant defense against pathogen infection. Pre-rRNA processing is essential for ribosome biosynthesis and thus affects protein translation. It remains unknown if plants modulate pre-rRNA processing as a translation regulatory mechanism for disease resistance. In this study, we show a 5' snoRNA capped and 3' polyadenylated (SPA) lincRNA named SUNA1 promotes disease resistance involved in modulating pre-rRNA processing in Arabidopsis. SUNA1 expression is highly induced by Pst DC3000 infection, which is impaired in SA biosynthesis-defective mutant sid2 and signaling mutant npr1. Consistently, SA triggers SUNA1 expression dependent on NPR1. Functional analysis indicates that SUNA1 plays a positive role in Arabidopsis defense against Pst DC3000 relying on its snoRNA signature motifs. Potential mechanism study suggests that the nucleus-localized SUNA1 interacts with the nucleolar methyltransferase fibrillarin to modulate SA-controlled pre-rRNA processing, then enhancing the translational efficiency (TE) of some defense genes in Arabidopsis response to Pst DC3000 infection. NPR1 appears to have similar effects as SUNA1 on pre-rRNA processing and TE of defense genes. Together, these studies reveal one kind of undescribed antibacterial translation regulatory mechanism, in which SA-NPR1-SUNA1 signaling cascade controls pre-rRNA processing and TE of certain defense genes in Arabidopsis.

Molecular mechanisms of growth and disease resistance in hybrid mandarin ( Siniperca chuatsi ♀ × Siniperca scherzeri ♂) revealed by combined miRNA‐mRNA transcriptome analysis

To improve the yield of hybrid mandarin fish, RNA-seq technology is used to further investigate the growth and disease resistance advantages of hybrid mandarin fish and the associated molecular mechanisms. Cluster analysis of the transcriptomes of the three fish groups Siniperca schezeri (S), Siniperca chuatsi (C) and hybrid mandarin fish (H) shows that the gene expression pattern of H is closer to C. We also found that the metabolic pathways in the body of C are the most active. The glycolysis/gluconeogenesis pathway (ko00010) is most typical. This phenomenon is also observed in H, suggesting that both H and C have the advantage of rapid metabolism. When comparing the different genes, we also found that the immune system of S is more active, as evidenced mainly by the significant activation of the ECM- receptor interaction (ko04512) and the phagosome signalling pathway (ko04145). This suggests that S induces the immune system to respond more rapidly by increasing the sensitivity of molecules related to the processing of environmental information in the body. To better understand the mechanism of disease resistance of H, we analysed the target genes of differentially expressed miRNAs and found that the Toll receptor signalling pathway (ko04620) and related immune pathways were significantly enriched. This suggests that H enhances the defence capability of the immune system by improving the ability to sensing the environment. This study revealed the growth and disease resistance mechanism of Hyb through mRNA and miRNA and provided a theoretical basis for crossbreeding.

Prediction and Analysis of miRNA Targets in Poplar in Response to the Infection of <i>Lonsdalea quercina</i> subsp <i>Populi</i>

Euramerican poplar bacterial canker disease caused by  Lonsdalea quercina  subsp.  Populi  is one of the stem diseases and seriously harmful to the growth and survival of poplar. MiRNAs play crucial roles in the regulation of the stress response of plants. To identify target genes of miRNAs responsive to the infection of this pathogen and provide candidate genes to the molecular breeding of forest disease resistance, the mature sequences of poplar miRNAs in miRBase database were used as probes to in silico predict the differentially expressed targets in poplar ‘Zhonglin 46’ inoculated with bacterial canker by using psRNATarget in this investigation. A total of 566 target genes of 276 miRNAs belonging to 127 miRNA families were screened, and these targets were found to be involved in multiple pathways such as plant pathogen interaction, plant hormone signaling, and phenylpropanoid biosynthesis, suggesting that these miRNAs were involved in the regulation of the response to  L. quercina  infection. Combined with GO analysis, KEGG pathway enrichment and gene function annotation of target genes, it was showed that miRNAs including miR482, miR6459, miR7812 and miR7835 were predicted to target genes encoding RPS2, NBS-LRR, AUX1, CCR, and Ca 2+  transmembrane transport protein genes, which were involved in the resistance regulation of poplar to  L. quercina  infection. Six of the nine differentially expressed genes targeted by miR7835 encode the CCR enzyme in the phenylpropanol biosynthesis pathway, which might be involved in the defense response of poplars by affecting the synthesis of lignin. The miRNA:mRNA regulatory gene pairs found in this investigation enlarged the gene resources of molecular breeding of forest disease resistance, and provided new clues for the research of the molecular regulatory mechanism of disease resistance in trees.

Fine mapping of the RSC9 gene and preliminary functional analysis of candidate resistance genes in soybean (Glycine max)

AbstractSoybean mosaic virus (SMV) disease is one of the main diseases affecting soybean and can cause severe soybean yield declines and seed quality deterioration. In the present study, a large F2 population (1002 individual plants) and recombinant inbred lines (RILs, 427 lines) obtained by crossing the resistant variety ‘Kefeng‐1’ with the susceptible variety ‘NN 1138‐2’ were used to fine map genes conferring resistance to the SMV strain SC9, which is common in soybean‐producing areas of Southern China. The results showed that the resistance gene RSC9 was located in a region of approximately 163 kb on chromosome 2, which is closely associated with two simple sequence repeat (SSR) markers, BARCSOYSSR_02_0610 and BARCSOYSSR_02_0618. Eleven candidate genes were included in this genomic region. Quantitative real‐time polymerase chain reaction (qRT‐PCR) analysis showed that the expression levels of seven of the 11 candidate genes differed significantly between ‘Kefeng‐1’ and ‘NN 1138‐2’. Two of these genes with typical disease resistance domains encoding STK protein kinases (Glyma.02g121900 and Glyma.02g122000) and one gene involved in an atypical disease resistance mechanism related to the ribonuclease H protein (LOC100812666) were selected for further research. Tissue‐specific expression analysis showed that all three of the genes exhibited the highest expression levels in the leaves of ‘Kefeng‐1’. In NN 1138‐2, Glyma.02g121900 and Glyma.02g122000 showed the highest expression in stems, and LOC100812666 showed the highest expression in roots. Subcellular localization analysis showed that Glyma.02g121900 was expressed on the cytomembrane and nuclear membrane, Glyma.02g122000 was expressed on the cytomembrane, and LOC100812666 was expressed on the cytomembrane, nucleus and mitochondria. Virus‐induced gene silencing (VIGS) reduced the expression of the Glyma.02g121900, Glyma.02g122000 and LOC100812666 genes in Kefeng‐1 by 77%, 70% and 75%, and their expression levels in ‘NN1138‐2’ were downregulated by 65%, 97% and 75%, respectively. After silencing these three genes in ‘Kefeng‐1’, only LOC100812666‐silenced plants exhibited significant SMV accumulation when inoculated with SMV‐SC9, with the levels being approximately seven folds higher than those in plants carrying the empty vector pBPMV‐V2. The accumulation of SMV in the SiGm2000 and SiGmLoc666 plants of NN1138‐2 inoculated with SMV‐SC9 was increased by approximately 7‐ and 13‐fold, respectively, compared with that in pBPMV‐V2 plants, but the accumulation in SiGm1900 plants was not significantly altered. Based on the above results, we concluded that Glyma.02g122000 and LOC100812666 may be involved in the conditioning of soybean resistance to SMV SC9.

Whole-genome comparative analysis reveals genetic mechanisms of disease resistance and heat tolerance of tropical Bos indicus cattle breeds.

Bos indicus cattle breeds have been naturally selected for thousands of years for disease resistance and thermo-tolerance. However, the genetic mechanisms underlying these specific inherited characteristics must be elucidated. Hence, in this study, a whole-genome comparative analysis of the Bos indicus cattle breeds Kangayam, Tharparkar, Sahiwal, Red Sindhi, and Hariana of the Indian subcontinent was conducted. Genetic variant identification analysis revealed 155 851 012 SNPs and 10 062 805 InDels in the mapped reads across all Bos indicus cattle breeds. The functional annotation of 17 252 genes that comprised both SNPs and InDels, with high functional impact on proteins, was carried out. The functional annotation results revealed the pathways involved in the innate immune response, including toll-like receptors, retinoic acid-inducible gene I-like receptors, NOD-like receptors, Jak-STAT signaling pathways, and non-synonymous variants in the candidate immune genes. We also identified several pathways involved in the heat shock response, hair and skin properties, oxidative stress response, osmotic stress response, thermal sweating, feed intake, metabolism, and non-synonymous variants in the candidate thermo-tolerant genes. These pathways and genes directly or indirectly contribute to the disease resistance and thermo-tolerance adaptations of Bos indicus cattle breeds.

Advances in Multi-Omics Approaches for Molecular Breeding of Black Rot Resistance in Brassica oleracea L.

Brassica oleracea is one of the most important species of the Brassicaceae family encompassing several economically important vegetables produced and consumed worldwide. But its sustainability is challenged by a range of pathogens, among which black rot, caused by Xanthomonas campestris pv. campestris (Xcc), is the most serious and destructive seed borne bacterial disease, causing huge yield losses. Host-plant resistance could act as the most effective and efficient solution to curb black rot disease for sustainable production of B. oleracea. Recently, ‘omics’ technologies have emerged as promising tools to understand the host-pathogen interactions, thereby gaining a deeper insight into the resistance mechanisms. In this review, we have summarized the recent achievements made in the emerging omics technologies to tackle the black rot challenge in B. oleracea. With an integrated approach of the omics technologies such as genomics, proteomics, transcriptomics, and metabolomics, it would allow better understanding of the complex molecular mechanisms underlying black rot resistance. Due to the availability of sequencing data, genomics and transcriptomics have progressed as expected for black rot resistance, however, other omics approaches like proteomics and metabolomics are lagging behind, necessitating a holistic and targeted approach to address the complex questions of Xcc-Brassica interactions. Genomic studies revealed that the black rot resistance is a complex trait and is mostly controlled by quantitative trait locus (QTL) with minor effects. Transcriptomic analysis divulged the genes related to photosynthesis, glucosinolate biosynthesis and catabolism, phenylpropanoid biosynthesis pathway, ROS scavenging, calcium signalling, hormonal synthesis and signalling pathway are being differentially expressed upon Xcc infection. Comparative proteomic analysis in relation to susceptible and/or resistance interactions with Xcc identified the involvement of proteins related to photosynthesis, protein biosynthesis, processing and degradation, energy metabolism, innate immunity, redox homeostasis, and defence response and signalling pathways in Xcc–Brassica interaction. Specifically, most of the studies focused on the regulation of the photosynthesis-related proteins as a resistance response in both early and later stages of infection. Metabolomic studies suggested that glucosinolates (GSLs), especially aliphatic and indolic GSLs, its subsequent hydrolysis products, and defensive metabolites synthesized by jasmonic acid (JA)-mediated phenylpropanoid biosynthesis pathway are involved in disease resistance mechanisms against Xcc in Brassica species. Multi-omics analysis showed that JA signalling pathway is regulating resistance against hemibiotrophic pathogen like Xcc. So, the bonhomie between omics technologies and plant breeding is going to trigger major breakthroughs in the field of crop improvement by developing superior cultivars with broad-spectrum resistance. If multi-omics tools are implemented at the right scale, we may be able to achieve the maximum benefits from the minimum. In this review, we have also discussed the challenges, future prospects, and the way forward in the application of omics technologies to accelerate the breeding of B. oleracea for disease resistance. A deeper insight about the current knowledge on omics can offer promising results in the breeding of high-quality disease-resistant crops.

Recent Advances in Understanding the Function of the PGIP Gene and the Research of Its Proteins for the Disease Resistance of Plants

Polygalacturonase-inhibiting protein (PGIP) is an important plant biochemical anti-disease factor. PGIP has a leucine-rich repeat structure that can selectively bind and inhibit the activity of endo-polygalacturonase (endo-PG) in fungi, playing a key role in plant disease resistance. The regulation of PGIP in plant disease resistance has been well studied, and the effect of PGIP to increase disease resistance is clear. This review summarizes recent advances in understanding the PGIP protein structure, the PGIP mechanism of plant disease resistance, and anti-disease activity by PGIP gene transfer. This overview should contribute to a better understanding of PGIP function and can help guide resistance breeding of PGIP for anti-disease effects.

Studies on regulation of plant physiology by pesticides.

Some agrochemicals have unique activities on plant, which modes of actions differ from those of herbicides and plant growth regulators. Because these induce useful and important phenotypic characteristics by activating physiological mechanisms in plant cell, understanding the underlying mechanism of their activities should be crucial for plant physiology and agriculture. As examples of such agrochemicals, studies on agrochemicals that activate the plant immune systems or root elongation, are described. Plant activators, inducers of systemic acquired resistance, were divided into two types, acting on upstream and downstream of salicylic acid (SA) biosynthesis, respectively. They have been useful research tools to clarify the regulation mechanism of SA-mediated disease resistance and to investigate another type of disease resistance mechanism mediated by brassinosteroids. By analyzing the roles of phytohormones in the isoprothiolane-induced root elongation indicated a positive effect of jasmonic acid and ethylene on primary root elongation. These types of research, categorized to one of chemical biology, would provide novel insight into plant physiology, which also contribute to control of crops.

GT Factor ZmGT-3b Is Associated With Regulation of Photosynthesis and Defense Response to Fusarium graminearum Infection in Maize Seedling.

It is of critical importance for plants to correctly and efficiently allocate their resources between growth and defense to optimize fitness. Transcription factors (TFs) play crucial roles in the regulation of plant growth and defense response. Trihelix TFs display multifaceted functions in plant growth, development, and responses to various biotic and abiotic stresses. In our previous investigation of maize stalk rot disease resistance mechanism, we found a trihelix TF gene, ZmGT-3b, which is primed for its response to Fusarium graminearum challenge by implementing a rapid and significant reduction of its expression to suppress seedling growth and enhance disease resistance. The disease resistance to F. graminearum was consistently increased and drought tolerance was improved, while seedling growth was suppressed and photosynthesis activity was significantly reduced in the ZmGT-3b knockdown seedlings. Thus, the seedlings finally led to show a kind of growth–defense trade-off phenotype. Moreover, photosynthesis-related genes were specifically downregulated, especially ZmHY5, which encodes a conserved central regulator of seedling development and light responses; ZmGT-3b was confirmed to be a novel interacting partner of ZmHY5 in yeast and in planta. Constitutive defense responses were synchronically activated in the ZmGT-3b knockdown seedlings as many defense-related genes were significantly upregulated, and the contents of major cell wall components, such as lignin, were increased in the ZmGT-3b knockdown seedlings. These suggest that ZmGT-3b is involved in the coordination of the metabolism during growth–defense trade-off by optimizing the temporal and spatial expression of photosynthesis- and defense-related genes.