ROS and Oxidative Response Systems in Plants Under Biotic and Abiotic Stresses: Revisiting the Crucial Role of Phosphite Triggered Plants Defense Response
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Abstract
Phosphite (Phi) is a chemical analog of orthophosphate [HPO
43−]. It is a systemic pesticide generally known to control the prevalence of oomycetes
and soil-borne diseases such as
Phytophthora,
Pythium, and
Plasmopora species. Phi can also control disease symptoms and the spread of pathogenic bacteria,
fungi, and nematodes. Phi plays critical roles as a fungicide, pesticide, fertilizer,
or biostimulator. Overall, Phi can alleviate the severity of the disease caused by
oomycete, fungi, pathogenic bacteria, and nematodes (leave, stem, fruit, tuber, and
root) in various plants (vegetables, fruits, crops, root/tuber crops, ornamental plants,
and forests). Advance research in molecular, physiological, and biochemical approaches
has approved the key role of Phi in enhancing crop growth, quantity, and quality of
several plant species. Phi is chemically similar to orthophosphate, and inside the
cells, it is likely to get involved in different features of phosphate metabolism
in both plants and pathogens. In plants, a range of physiobiochemical alterations
are induced by plant pathogen stress, which causes lowered photosynthesis activities,
enzymatic activities, increased accumulation of reactive oxygen species (ROS), and
modification in a large group of genes. To date, several attempts have been made to
study plant-pathogen interactions with the intent to minimize the loss of crop productivity.
Phi’s emerging function as a biostimulant in plants has boost plant yield and tolerance
against various stress factors. This review discusses Phi-mediated biostimulant effects
against biotic and abiotic stresses.
Many plant-associated microbes are pathogens that impair plant growth and reproduction. Plants respond to infection using a two-branched innate immune system. The first branch recognizes and responds to molecules common to many classes of microbes, including non-pathogens. The second responds to pathogen virulence factors, either directly or through their effects on host targets. These plant immune systems, and the pathogen molecules to which they respond, provide extraordinary insights into molecular recognition, cell biology and evolution across biological kingdoms. A detailed understanding of plant immune function will underpin crop improvement for food, fibre and biofuels production.
Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation.
In plant innate immunity, individual cells have the capacity to sense and respond to pathogen attack. Intracellular recognition mechanisms have evolved to intercept perturbations by pathogen virulence factors (effectors) early in host infection and convert it to rapid defense. One key to resistance success is a polymorphic family of intracellular nucleotide-binding/leucine-rich-repeat (NLR) receptors that detect effector interference in different parts of the cell. Effector-activated NLRs connect, in various ways, to a conserved basal resistance network in order to transcriptionally boost defense programs. Effector-triggered immunity displays remarkable robustness against pathogen disturbance, in part by employing compensatory mechanisms within the defense network. Also, the mobility of some NLRs and coordination of resistance pathways across cell compartments provides flexibility to fine-tune immune outputs. Furthermore, a number of NLRs function close to the nuclear chromatin by balancing actions of defense-repressing and defense-activating transcription factors to program cells dynamically for effective disease resistance.
[1]1Joint FAFU-Dalhousie Lab, College of Horticulture, Fujian Agriculture and Forestry
University , Fuzhou, China
[2]2State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian
Provincial Key Laboratory of Haixia Applied Plant Systems Biology, College of Life
Sciences, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University , Fuzhou, China
[3]3State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources,
Guangxi Key Lab of Sugarcane Biology, College of Agriculture, Guangxi University , Nanning, China
[4]4Department of Horticulture, College of Agriculture, Alberoni University , Kohistan, Afghanistan
[5]5College of Plant Protection, Fujian Agriculture and Forestry University , Fuzhou, China
[6]6College of Agriculture, Fujian Agriculture and Forestry University , Fuzhou, China
[7]7National Education Commission , Nugegoda, Sri Lanka
[8]8Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture, Dalhousie
University , Truro, NS, Canada
Author notes
Edited by: Hyang Burm Lee, Chonnam National University, South Korea
Reviewed by: Orlando Borras-Hidalgo, Qilu University of Technology, China; Hyong Woo
Choi, Andong National University, South Korea
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