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Mishchenko L, Nazarov T, Dunich A, Mishchenko I, Ryshchakova O, Motsnyi I, Dashchenko A, Bezkrovna L, Fanin Y, Molodchenkova O, Smertenko A. Impact of Wheat Streak Mosaic Virus on Peroxisome Proliferation, Redox Reactions, and Resistance Responses in Wheat. Int J Mol Sci 2021; 22:ijms221910218. [PMID: 34638559 PMCID: PMC8508189 DOI: 10.3390/ijms221910218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/15/2021] [Accepted: 09/19/2021] [Indexed: 02/07/2023] Open
Abstract
Although peroxisomes play an essential role in viral pathogenesis, and viruses are known to change peroxisome morphology, the role of genotype in the peroxisomal response to viruses remains poorly understood. Here, we analyzed the impact of wheat streak mosaic virus (WSMV) on the peroxisome proliferation in the context of pathogen response, redox homeostasis, and yield in two wheat cultivars, Patras and Pamir, in the field trials. We observed greater virus content and yield losses in Pamir than in Patras. Leaf chlorophyll and protein content measured at the beginning of flowering were also more sensitive to WSMV infection in Pamir. Patras responded to the WSMV infection by transcriptional up-regulation of the peroxisome fission genes PEROXIN 11C (PEX11C), DYNAMIN RELATED PROTEIN 5B (DRP5B), and FISSION1A (FIS1A), greater peroxisome abundance, and activation of pathogenesis-related proteins chitinase, and β-1,3-glucanase. Oppositely, in Pamir, WMSV infection suppressed transcription of peroxisome biogenesis genes and activity of chitinase and β-1,3-glucanase, and did not affect peroxisome abundance. Activity of ROS scavenging enzymes was higher in Patras than in Pamir. Thus, the impact of WMSV on peroxisome proliferation is genotype-specific and peroxisome abundance can be used as a proxy for the magnitude of plant immune response.
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Affiliation(s)
- Lidiya Mishchenko
- Institute of Biology and Medicine, Educational and Scientific Center, Taras Shevchenko National University of Kyiv, 01601 Kyiv, Ukraine;
- Correspondence: (L.M.); (O.M.); (A.S.); Tel.: +38-097-917-80-51 (L.M.); +38-067-557-73-20 (O.M.); +1-509-335-5795 (A.S.)
| | - Taras Nazarov
- Institute of Biological Chemistry, Washington State University, Pullman, WA 991641, USA;
| | - Alina Dunich
- Institute of Biology and Medicine, Educational and Scientific Center, Taras Shevchenko National University of Kyiv, 01601 Kyiv, Ukraine;
| | - Ivan Mishchenko
- Faculty of Agricultural Management, National University of Life and Environmental Sciences of Ukraine, 15 Heroyiv Oborony, 03041 Kyiv, Ukraine; (I.M.); (A.D.)
| | - Olga Ryshchakova
- Laboratory of Plant Biochemistry, National Center of Seed and Cultivar Investigation, Plant Breeding & Genetics Institute, 65036 Odessa, Ukraine; (O.R.); (I.M.); (L.B.); (Y.F.)
| | - Ivan Motsnyi
- Laboratory of Plant Biochemistry, National Center of Seed and Cultivar Investigation, Plant Breeding & Genetics Institute, 65036 Odessa, Ukraine; (O.R.); (I.M.); (L.B.); (Y.F.)
| | - Anna Dashchenko
- Faculty of Agricultural Management, National University of Life and Environmental Sciences of Ukraine, 15 Heroyiv Oborony, 03041 Kyiv, Ukraine; (I.M.); (A.D.)
| | - Lidiya Bezkrovna
- Laboratory of Plant Biochemistry, National Center of Seed and Cultivar Investigation, Plant Breeding & Genetics Institute, 65036 Odessa, Ukraine; (O.R.); (I.M.); (L.B.); (Y.F.)
| | - Yaroslav Fanin
- Laboratory of Plant Biochemistry, National Center of Seed and Cultivar Investigation, Plant Breeding & Genetics Institute, 65036 Odessa, Ukraine; (O.R.); (I.M.); (L.B.); (Y.F.)
| | - Olga Molodchenkova
- Laboratory of Plant Biochemistry, National Center of Seed and Cultivar Investigation, Plant Breeding & Genetics Institute, 65036 Odessa, Ukraine; (O.R.); (I.M.); (L.B.); (Y.F.)
- Correspondence: (L.M.); (O.M.); (A.S.); Tel.: +38-097-917-80-51 (L.M.); +38-067-557-73-20 (O.M.); +1-509-335-5795 (A.S.)
| | - Andrei Smertenko
- Institute of Biological Chemistry, Washington State University, Pullman, WA 991641, USA;
- Correspondence: (L.M.); (O.M.); (A.S.); Tel.: +38-097-917-80-51 (L.M.); +38-067-557-73-20 (O.M.); +1-509-335-5795 (A.S.)
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Sun H, Zhang H, Xu Z, Wang Y, Liu X, Li Y, Tian B, Sun G, Zhang H. TMT-based quantitative proteomic analysis of the effects of Pseudomonas syringae pv. tabaci (Pst) infection on photosynthetic function and the response of the MAPK signaling pathway in tobacco leaves. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 166:657-667. [PMID: 34214776 DOI: 10.1016/j.plaphy.2021.06.049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
To reveal the mechanism of photosynthesis inhibition by infection and the response of the MAPK signaling pathway to pathogen infection, tobacco leaves were inoculated with Pseudomonas syringae pv. tabaci (Pst), and the effects of Pst infection on photosynthesis of tobacco leaves were studied by physiological and proteomic techniques, with a focus on MAPK signaling pathway related proteins. Pst infection was observed to lead to the degradation of chlorophyll (especially Chl b) in tobacco leaves and the down-regulation of light harvesting antenna proteins expression, thus limiting the light harvesting ability. The photosystem II and I (PSII and PSI) activities were also decreased, and Pst infection inhibited the utilization of light and CO2. Proteomic analyses showed that the number of differentially expressed proteins (DEPs) under Pst infection at 3 d were significantly higher than at 1 d, especially the number of down-regulated proteins. The KEGG enrichment of DEPs was mainly enriched in the energy metabolism processes such as photosynthesis antenna proteins and photosynthesis. The down-regulation of chlorophyll a-b binding protein, photosynthetic electron transport related proteins (e.g., PSII and PSI core proteins, the Cytb6/f complex, PC, Fd, FNR), ATP synthase subunits, and key enzymes in the Calvin cycle were the key changes associated with Pst infection that may inhibit tobacco photosynthesis. The effect of Pst infection on the PSII electron acceptor side was significantly greater than that on the PSII donor side. The main factor that decreased the photosynthetic ability of tobacco leaves with Pst infection at 1 d may be the inhibition of photochemical reactions leading to an insufficient supply of ATP, rather than decreased expression of enzymes involved in the Calvin cycle. At 1 d into Pst infection, the PSII regulated energy dissipation yield Y(NPQ) may play a role in preventing photosynthetic inhibition in tobacco leaves, but the long-term Pst infection significantly inhibited Y(NPQ) and the expression of PsbS proteins. Proteins involved in the MAPK signaling pathway were up-regulated, suggesting the MAPK signaling pathway was activated to respond to Pst infection. However, at the late stage of Pst infection (at 3 d), MAPK signaling pathway proteins were degraded, and the defense function of the MAPK signaling pathway in tobacco leaves was damaged.
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Affiliation(s)
- Hongwei Sun
- Mudanjiang Tobacco Science Research Institute, Mudanjiang, Heilongjiang, China
| | - Hongbo Zhang
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China
| | - Zisong Xu
- College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Yue Wang
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China
| | - Xiaoqian Liu
- College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Yuanyuan Li
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China
| | - Bei Tian
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China
| | - Guangyu Sun
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China
| | - Huihui Zhang
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang, China.
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Wang L, Poque S, Valkonen JPT. Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform. PLANT METHODS 2019; 15:116. [PMID: 31649744 PMCID: PMC6805361 DOI: 10.1186/s13007-019-0501-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/10/2019] [Indexed: 05/12/2023]
Abstract
BACKGROUND Virus diseases caused by co-infection with Sweet potato feathery mottle virus (SPFMV) and Sweetpotato chlorotic stunt virus (SPCSV) are a severe problem in the production of sweetpotato (Ipomoea batatas L.). Traditional molecular virus detection methods include nucleic acid-based and serological tests. In this study, we aimed to validate the use of a non-destructive imaging-based plant phenotype platform to study plant-virus synergism in sweetpotato by comparing four virus treatments with two healthy controls. RESULTS By monitoring physiological and morphological effects of viral infection in sweetpotato over 29 days, we quantified photosynthetic performance from chlorophyll fluorescence (ChlF) imaging and leaf thermography from thermal infrared (TIR) imaging among sweetpotatoes. Moreover, the differences among different treatments observed from ChlF and TIR imaging were related to virus accumulation and distribution in sweetpotato. These findings were further validated at the molecular level by related gene expression in both photosynthesis and carbon fixation pathways. CONCLUSION Our study validated for the first time the use of ChlF- and TIR-based imaging systems to distinguish the severity of virus diseases related to SPFMV and SPCSV in sweetpotato. In addition, we demonstrated that the operating efficiency of PSII and photochemical quenching were the most sensitive parameters for the quantification of virus effects compared with maximum quantum efficiency, non-photochemical quenching, and leaf temperature.
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Affiliation(s)
- Linping Wang
- Department of Agricultural Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland
| | - Sylvain Poque
- Department of Agricultural Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland
| | - Jari P. T. Valkonen
- Department of Agricultural Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland
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Workneh F, O'Shaughnessy S, Evett S, Rush CM. Relationships Between Early Wheat Streak Mosaic Severity Levels and Grain Yield: Implications for Management Decisions. PLANT DISEASE 2017; 101:1621-1626. [PMID: 30677333 DOI: 10.1094/pdis-02-17-0176-re] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Wheat streak mosaic (WSM) caused by Wheat streak mosaic virus, which is transmitted by the wheat curl mite (Aceria tosichella), is a major yield-limiting disease in the Texas High Plains. In addition to its impact on grain production, the disease reduces water-use efficiency by affecting root development. Because of the declining Ogallala Aquifer water level, water conservation has become one of the major pressing issues in the region. Thus, questions are often raised as to whether it is worthwhile to irrigate infected fields in light of the water conservation issues, associated energy costs, and current wheat prices. To address some of these questions, field experiments were conducted in 2013 and 2016 at two separate locations to determine whether grain yield could be predicted from disease severity levels, assessed early in the spring, for potential use as a decision tool for crop management, including irrigation. In both fields, disease severity assessments started in April, using a handheld hyperspectral radiometer with which reflectance measurements were taken weekly in multiple plots in arbitrarily selected locations across the fields. The relationship between WSM severity levels and grain yield for the different assessment dates were determined by fitting reflectance and yield values into the logistic regression function. The model predicted yield levels with r2 values ranging from 0.67 to 0.85 (P < 0.0001), indicating that the impact of WSM on grain yield could be fairly well predicted from early assessments of WSM severity levels. As the disease is normally progressive over time, this type of information will be useful for making management decisions of whether to continue irrigating infected fields, especially if combined with an economic threshold for WSM severity levels.
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Affiliation(s)
- F Workneh
- Texas A&M AgriLife Research, Bushland, TX 79012
| | | | - S Evett
- USDA-ARS, Bushland, TX 79012
| | - C M Rush
- Texas A&M AgriLife Research, Bushland, TX 79012
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