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Liu Z, Wang J, Yue Z, Wang J, Dou T, Chen T, Li J, Dai H, Yu J. Study of cabbage antioxidant system response on early infection stage of Xanthomonas campestris pv. campestris. BMC PLANT BIOLOGY 2024; 24:324. [PMID: 38658831 PMCID: PMC11040805 DOI: 10.1186/s12870-024-04994-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
Black rot, caused by Xanthomonas campestris pv. campestris (Xcc) significantly affects the production of cabbage and other cruciferous vegetables. Plant antioxidant system plays an important role in pathogen invasion and is one of the main mechanisms underlying resistance to biological stress. Therefore, it is important to study the resistance mechanisms of the cabbage antioxidant system during the early stages of Xcc. In this study, 108 CFU/mL (OD600 = 0.1) Xcc race1 was inoculated on "zhonggan 11" cabbage using the spraying method. The effects of Xcc infection on the antioxidant system before and after Xcc inoculation (0, 1, 3, and 5 d) were studied by physiological indexes determination, transcriptome and metabolome analyses. We concluded that early Xcc infection can destroy the balance of the active oxygen metabolism system, increase the generation of free radicals, and decrease the scavenging ability, leading to membrane lipid peroxidation, resulting in the destruction of the biofilm system and metabolic disorders. In response to Xcc infection, cabbage clears a series of reactive oxygen species (ROS) produced during Xcc infection via various antioxidant pathways. The activities of antioxidant enzymes such as superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) increased after Xcc infection, and the ROS scavenging rate increased. The biosynthesis of non-obligate antioxidants, such as ascorbic acid (AsA) and glutathione (GSH), is also enhanced after Xcc infection. Moreover, the alkaloid and vitamin contents increased significantly after Xcc infection. We concluded that cabbage could resist Xcc invasion by maintaining the stability of the cell membrane system and improving the biosynthesis of antioxidant substances and enzymes after infection by Xcc. Our results provide theoretical basis and data support for subsequent research on the cruciferous vegetables resistance mechanism and breeding to Xcc.
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Affiliation(s)
- Zeci Liu
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Jie Wang
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Zhibin Yue
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Jue Wang
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Tingting Dou
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Tongyan Chen
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Jinbao Li
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Haojie Dai
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China
| | - Jihua Yu
- College of Horticulture, Gansu Agriculture University, Lanzhou, 730070, People's Republic of China.
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Wang Q, Ding L, Wang R, Liang Z. A Review on the Morphology, Cultivation, Identification, Phytochemistry, and Pharmacology of Kitagawia praeruptora (Dunn) Pimenov. Molecules 2023; 28:8153. [PMID: 38138641 PMCID: PMC10745425 DOI: 10.3390/molecules28248153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Kitagawia praeruptora (Dunn) Pimenov, commonly known as Qianhu in China, is a widely used folk Chinese herbal medicine. This article reviews its botanical traits, ethnopharmacology, cultivation techniques, identification, phytochemical compositions, and pharmacological effects. Over 70 coumarin compounds, including simple coumarins, pyranocoumarins, and furanocoumarins, have been isolated within this plant. Additionally, K. praeruptora contains other components such as flavonoids, fatty acids, benzoic acids, and sterols. This information highlights the importance of utilizing active ingredients and excavating pharmacological effects. With its remarkable versatility, K. praeruptora exhibits a wide range of pharmacological effects. It has been found to possess expectorant and bronchodilator properties, cardiovascular protection, antimicrobial and antioxidant activities, anti-tumor effects, and even antidiabetic properties. It is recommended to focus on the development of new drugs that leverage the active ingredients of K. praeruptora and explore its potential for new clinical applications and holistic utilization.
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Affiliation(s)
| | | | - Ruihong Wang
- Zhejiang Province Key Laboratory of Plant Secondary Metabolism and Regulation, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China; (Q.W.); (L.D.)
| | - Zongsuo Liang
- Zhejiang Province Key Laboratory of Plant Secondary Metabolism and Regulation, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China; (Q.W.); (L.D.)
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Vega-Álvarez C, Francisco M, Cartea ME, Fernández JC, Soengas P. The growth-immunity tradeoff in Brassica oleracea-Xanthomonas campestris pv. campestris pathosystem. PLANT, CELL & ENVIRONMENT 2023; 46:2985-2997. [PMID: 36180381 DOI: 10.1111/pce.14454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/25/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
Plant responses against pathogens are influenced by growth immunity tradeoff, which ensure the best use of limited resources. We study how the immobilization of carbon resources and the induction of defensive responses (glucosinolates, phenolic compounds, stomatal closure) can influence the biomass of two Brassica oleracea lines, differing in their resistance, after infection with Xanthomonas campestris pv. campestris. Potentially, the growth immunity tradeoff can be influenced by the activation of all these processes. However, on the contrary of which is normally stated, our results suggest that the loss of biomass caused by pathogen infection is mainly due to the differential accumulation of starch and the immobilization of sugars rather than the reallocation of resources to synthesize secondary metabolites. Moreover, resistance may be related to the effectiveness of the tradeoff, since the resistant line immobilizes resources more efficiently than the susceptible one. Both inbred lines show a different phytohormones profile, which support the hypothesis that they are employing different strategies to defend themselves against the pathogen. This study emphasizes the key role of the primary metabolism in the defence strategies of plants against pathogens.
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Affiliation(s)
| | | | | | | | - Pilar Soengas
- Misión Biológica de Galicia (CSIC), Pontevedra, Spain
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Zhang Y, Zhang Y, Gao C, Zhang Z, Yuan Y, Zeng X, Hu W, Yang L, Li F, Yang Z. Uncovering genomic and transcriptional variations facilitates utilization of wild resources in cotton disease resistance improvement. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:204. [PMID: 37668681 DOI: 10.1007/s00122-023-04451-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/17/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Upland cotton wild/landraces represent a valuable resource for disease resistance alleles. Genetic differentiation between genotypes, as well as variation in Verticillium wilt (VW) resistance, has been poorly characterized for upland cotton accessions on the domestication spectrum (from wild/landraces to elite lines). RESULTS To illustrate the effects of modern breeding on VW resistance in upland cotton, 37 wild/landraces were resequenced and phenotyped for VW resistance. Genomic patterns of differentiation were identified between wild/landraces and improved upland cotton, and a significant decline in VW resistance was observed in association with improvement. Four genotypes representing different degrees of improvement were used in a full-length transcriptome analysis to study the genetic basis of VW resistance. ROS signaling was highly conserved at the transcriptional level, likely providing the basis for VW resistance in upland cotton. ASN biosynthesis and HSP90-mediated resistance moderated the response to VW in wild/landraces, and loss of induction activity of these genes resulted in VW susceptibility. The observed genomic differentiation contributed to the loss of induction of some important VW resistance genes such as HSP90.4 and PR16. CONCLUSIONS Besides providing new insights into the evolution of upland cotton VW resistance, this study also identifies important resistance pathways and genes for both fundamental research and cotton breeding.
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Affiliation(s)
- Yihao Zhang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Yaning Zhang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China
| | - Chenxu Gao
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China
| | - Zhibin Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Yuan Yuan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Xiaolin Zeng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Wei Hu
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China
| | - Lan Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Fuguang Li
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China.
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
| | - Zhaoen Yang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450000, China.
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
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Lu L, Choi SR, Lim YP, Kang SY, Yi SY. A GBS-based genetic linkage map and quantitative trait loci (QTL) associated with resistance to Xanthomonas campestris pv. campestris race 1 identified in Brassica oleracea. FRONTIERS IN PLANT SCIENCE 2023; 14:1205681. [PMID: 37384357 PMCID: PMC10293835 DOI: 10.3389/fpls.2023.1205681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/24/2023] [Indexed: 06/30/2023]
Abstract
The production of Brassica oleracea, an important vegetable crop, is severely affected by black rot disease caused by the bacterial pathogen Xanthomonas campestris pv. campestris. Resistance to race 1, the most virulent and widespread race in B. oleracea, is under quantitative control; therefore, identifying the genes and genetic markers associated with resistance is crucial for developing resistant cultivars. Quantitative trait locus (QTL) analysis of resistance in the F2 population developed by crossing the resistant parent BR155 with the susceptible parent SC31 was performed. Sequence GBS approach was used to develop a genetic linkage map. The map contained 7,940 single nucleotide polymorphism markers consisting of nine linkage groups spanning 675.64 cM with an average marker distance of 0.66 cM. The F2:3 population (N = 126) was evaluated for resistance to black rot disease in summer (2020), fall (2020), and spring (2021). QTL analysis, using a genetic map and phenotyping data, identified seven QTLs with LOD values between 2.10 and 4.27. The major QTL, qCaBR1, was an area of overlap between the two QTLs identified in the 2nd and 3rd trials located at C06. Among the genes located in the major QTL interval, 96 genes had annotation results, and eight were found to respond to biotic stimuli. We compared the expression patterns of eight candidate genes in susceptible (SC31) and resistant (BR155) lines using qRT-PCR and observed their early and transient increases or suppression in response to Xanthomonas campestris pv. campestris inoculation. These results support the involvement of the eight candidate genes in black rot resistance. The findings of this study will contribute towards marker-assisted selection, additionally the functional analysis of candidate genes may elucidate the molecular mechanisms underlying black rot resistance in B. oleracea.
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Affiliation(s)
- Lu Lu
- Institute of Agricultural Science, Chungnam National University, Daejeon, Republic of Korea
| | - Su Ryun Choi
- Institute of Agricultural Science, Chungnam National University, Daejeon, Republic of Korea
| | - Yong Pyo Lim
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, Chungnam National University, Daejeon, Republic of Korea
| | - Si-Yong Kang
- Department of Horticulture, College of Industrial Sciences, Kongju National University, Yesan, Republic of Korea
- Research Center of Crop Breeding for Omics and Artificial Intelligence, Kongju National University, Yesan, Republic of Korea
| | - So Young Yi
- Institute of Agricultural Science, Chungnam National University, Daejeon, Republic of Korea
- Research Center of Crop Breeding for Omics and Artificial Intelligence, Kongju National University, Yesan, Republic of Korea
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Pineda M, Barón M. Assessment of Black Rot in Oilseed Rape Grown under Climate Change Conditions Using Biochemical Methods and Computer Vision. PLANTS (BASEL, SWITZERLAND) 2023; 12:1322. [PMID: 36987010 PMCID: PMC10058869 DOI: 10.3390/plants12061322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 06/19/2023]
Abstract
Global warming is a challenge for plants and pathogens, involving profound changes in the physiology of both contenders to adapt to the new environmental conditions and to succeed in their interaction. Studies have been conducted on the behavior of oilseed rape plants and two races (1 and 4) of the bacterium Xanthomonas campestris pv. campestris (Xcc) and their interaction to anticipate our response in the possible future climate. Symptoms caused by both races of Xcc were very similar to each other under any climatic condition assayed, although the bacterial count from infected leaves differed for each race. Climate change caused an earlier onset of Xcc symptoms by at least 3 days, linked to oxidative stress and a change in pigment composition. Xcc infection aggravated the leaf senescence already induced by climate change. To identify Xcc-infected plants early under any climatic condition, four classifying algorithms were trained with parameters obtained from the images of green fluorescence, two vegetation indices and thermography recorded on Xcc-symptomless leaves. Classification accuracies were above 0.85 out of 1.0 in all cases, with k-nearest neighbor analysis and support vector machines performing best under the tested climatic conditions.
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