Chemical communication in plant–microbiome and intra-microbiome interactions weaves a complex network,critically shaping ecosystem stability and agricultural productivity.This non-contact interaction is driven by sma...Chemical communication in plant–microbiome and intra-microbiome interactions weaves a complex network,critically shaping ecosystem stability and agricultural productivity.This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association.Plants leverage these signals to distinguish between pathogens and beneficial microbes,dynamically modulate immune responses,and secrete exudates to recruit a beneficial microbiome,while microbes in turn influence plant nutrient acquisition and stress resilience.Such bidirectional chemical dialogues underpin nutrient cycling,co-evolution,microbiome assembly,and plant resistance.However,knowledge gaps persist regarding validating the key molecules involved in plant–microbe interactions.Interpreting chemical communication requires multi-omics integration to predict key information,genome editing and click chemistry to verify the function of biomolecules,and artificial intelligence(AI)models to improve resolution and accuracy.This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.展开更多
Metastable endoperoxides with beta-amyloid fibrils targeting benzothiazole moieties were designed and synthesized.Singlet oxygen released from these endoperoxides by thermal cycloreversion reaction was shown to cause ...Metastable endoperoxides with beta-amyloid fibrils targeting benzothiazole moieties were designed and synthesized.Singlet oxygen released from these endoperoxides by thermal cycloreversion reaction was shown to cause significant structural changes on the amyloid assemblies.Most importantly,the cytotoxicity of the beta-amyloid fibrils on the PC12 cells were significantly reduced in the presence of endoperoxides.This observation,coupled with the fact that neither external oxygen,nor light is needed for this transformation,is very promising.展开更多
Bacteria equipped with virulence systems based on highly bioactive small molecules can circumvent their host's defense mechanisms.Pathogens employing this strategy are currently threatening global rice production....Bacteria equipped with virulence systems based on highly bioactive small molecules can circumvent their host's defense mechanisms.Pathogens employing this strategy are currently threatening global rice production.In the present study,variations in the virulence of the highly destructive Barkholderiaplantarii were observed in different rice-producing regions.The environment-linked variation was not attributable to any known host-related or external factors.Co-occurrence analyses indicated a connection between reduced virulence and 5-Amino-l,3,4-thiadiazole-2-thiol(ATT),a non-bactericidal organic compound.ATT,which accumulates in rice plants during metabolization of specific agrochemicals,was found to reduce virulence factor secretion by B.plantarii up to 88.8%and inhibit pathogen virulence by hijacking an upstream signaling cascade.Detailed assessment of the newly discovered virulence inhibitor resulted in mechanistic insights into positive effects of ATT accumulation in plant tissues.Mechanisms of virulence alleviation were deciphered by integrating high-throughput data,gene knockout mutants,and molecular interaction assays.TroK,a histidine protein kinase in a two-component system that regulates virulence factor secretion,is likely the molecular target antagonized by ATT.Our findings provide novel insights into virulence modulation in an important plant-pathogen system that relies on the host's metabolic activity and subsequent signaling interference.展开更多
Seed-borne bacterial pathogens cause severe yield loss and biotoxin contamination in rice,leading to increasing concern on the global food supply and environmental safety.Plant native microbes play an important role i...Seed-borne bacterial pathogens cause severe yield loss and biotoxin contamination in rice,leading to increasing concern on the global food supply and environmental safety.Plant native microbes play an important role in defending against diseases,but their actions are often influ-enced by the chemical fungicides applied in the field.Here,Bacillus licheniformis mmj was isolated from rice spikelet,which uniquely showed not only fungicide-responsiveness but also broad-spectrum antimicrobial activity against major rice bacterial pathogens including Xanthomonas oryzae pv.oryzae,Burkholderia plantari and Burkholderia glumae.To understand the hallmark underlying the environmental adaptation and anti-microbial activity of B.licheniformis mmj,the genome sequence was determined by SMRT and subjected to bioinformatics analysis.Genome sequence analysis enabled the identification of a set of antimicrobial-resistance and antibacterial activity genes together with an array of harsh environment-adaptive genes.Moreover,B.licheniformis mmj metabolites were analyzed with gas chromatography coupled to triple quadrupole mass spectrometry,and the volatile components that were linked with the antimicrobial activity were preliminarily profiled.Collectively,the present findings reveal the genomic and metabolic landscapes underlying fungicide-responsive B.licheniformis,which offers a new opportunity to design harsh environment-adaptive biopesticides to cope with prevalent bacterial phytopathogens.展开更多
Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing regions.The disease symptoms caused by different pathogens may vary,including elong...Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing regions.The disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as example.Bakanae disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of conidia.Therefore,early disease surveillance plays a crucial role in securing rice production.Traditional monitoring methods are both time-consuming and labor-intensive and cannot be broadly applied.In this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae disease.Phenotypic data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease mechanism.Hyperspectral data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning algorithms.Based on this model,an average accuracy of 92.2%was achieved on the 21st day of infection.It also achieved an accuracy of 79.4%as early as the 9th day.Universal characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field surveillance.Collectively,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.展开更多
A growing body of evidence has demonstrated the significance of the gut microbiota in host health,while the association between gut microbiota dysbiosis and multiple diseases is yet elusive in the scenario of exposure...A growing body of evidence has demonstrated the significance of the gut microbiota in host health,while the association between gut microbiota dysbiosis and multiple diseases is yet elusive in the scenario of exposure to widely used pesticides.Here,we show that gut microbiota dysbiosis involves in host's abnormal lipid metabolism and consequently the non-alcoholic fatty liver disease in Xenopus laevis upon exposure to cis-bifenthrin,one of the most prevalent pyrethroid insecticides in the world.With the guidance of gut microbiota analysis,we found that cis-bifenthrin exposure significantly perturbed the gut microbial community,and the specific taxa that served as biomarkers were identified.Metabolomics profiling and association analysis further showed that a significant change of intestinal metabolites involved in lipid metabolic pathways were induced along with the microbiota dysbiosis upon exposure to cis-bifenthrin.Detailed investigation showed an altered functional regulation of lipids in the liver after cis-bifenthrin exposure and the accumulation of lipid droplets in hepatocytes.Specifically,a change in deoxycholic acid alters bile acid hepatoenteral circulation,which affects lipid metabolism in the liver and ultimately causes the development of fatty liver disease.Collectively,these findings provide novel insight into the gut microbiota dysbiosis upon pesticide exposure and their potential implication in the development of chronic host diseases related to liver metabolic syndrome.展开更多
The past few years have witnessed significant progress in emerging disease detection techniques foraccurately and rapidly tracking rice diseases and predicting potential solutions. In this review we focuson image proc...The past few years have witnessed significant progress in emerging disease detection techniques foraccurately and rapidly tracking rice diseases and predicting potential solutions. In this review we focuson image processing techniques using machine learning (ML) and deep learning (DL) models related tomulti-scale rice diseases. Furthermore, we summarize applications of different detection techniques,including genomic, physiological, and biochemical approaches. In addition, we also present the state-ofthe-art in contemporary optical sensing applications of pathogen–plant interaction phenotypes. Thisreview serves as a valuable resource for researchers seeking effective solutions to address the challenges of high-throughput data and model recognition for early detection of issues affecting rice cropsthrough ML and DL models.展开更多
Emerging evidence suggests a link between alterations in the gut microbiome and adverse health outcomes in the hosts exposed to environmental pollutants.Yet,the causal relationships and underlying mechanisms remain la...Emerging evidence suggests a link between alterations in the gut microbiome and adverse health outcomes in the hosts exposed to environmental pollutants.Yet,the causal relationships and underlying mechanisms remain largely undefined.Here we show that exposure to biotoxins can affect gut pathobiome assembly in amphibians,which in turn triggers the toxicity of exogenous pollutants.We used Xenopus laevis as a model in this study.Tadpoles exposed to tropolone demonstrated notable developmental impairments and increased locomotor activity,with a reduction in total length by 4.37%e22.48%and an increase in swimming speed by 49.96%e84.83%.Fusobacterium and Cetobacterium are predominant taxa in the gut pathobiome of tropolone-exposed tadpoles.The tropolone-induced developmental and behavioral disorders in the host were mediated by assembly of the gut pathobiome,leading to transcriptome reprogramming.This study not only advances our understanding of the intricate interactions between environmental pollutants,the gut pathobiome,and host health but also emphasizes the potential of the gut pathobiome in mediating the toxicological effects of environmental contaminants.展开更多
基金supported by the National Key R&D Program of China(No.2025YFE0104500)the Zhejiang Provincial Natural Science Foundation of China(No.LD25C140002),the Natural Science Foundation of Hangzhou(No.2024SZRZDC 130001)+1 种基金the National Natural Science Foundation of China(Nos.U21A20219 and 32122074)the Zhejiang University Global Partnership Fund,China.
文摘Chemical communication in plant–microbiome and intra-microbiome interactions weaves a complex network,critically shaping ecosystem stability and agricultural productivity.This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association.Plants leverage these signals to distinguish between pathogens and beneficial microbes,dynamically modulate immune responses,and secrete exudates to recruit a beneficial microbiome,while microbes in turn influence plant nutrient acquisition and stress resilience.Such bidirectional chemical dialogues underpin nutrient cycling,co-evolution,microbiome assembly,and plant resistance.However,knowledge gaps persist regarding validating the key molecules involved in plant–microbe interactions.Interpreting chemical communication requires multi-omics integration to predict key information,genome editing and click chemistry to verify the function of biomolecules,and artificial intelligence(AI)models to improve resolution and accuracy.This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
基金supported by the National Natural Science Foundation of China(22178048,22007008)the LiaoNing Revitalization Talents Program(XLYC1902001,XLYC1907021)the Fundamental Research Funds for the Central Universities(DUT18RC(3)062,DUT19RC(3)009,DUT23YG120).
文摘Metastable endoperoxides with beta-amyloid fibrils targeting benzothiazole moieties were designed and synthesized.Singlet oxygen released from these endoperoxides by thermal cycloreversion reaction was shown to cause significant structural changes on the amyloid assemblies.Most importantly,the cytotoxicity of the beta-amyloid fibrils on the PC12 cells were significantly reduced in the presence of endoperoxides.This observation,coupled with the fact that neither external oxygen,nor light is needed for this transformation,is very promising.
基金This work was supported by the National Natural Science Foundation of China(Grants No.32122074,31501684)National Key Research and Development Program of China(Grants No.2021YFE0113700,2017YFD0202100,2017YFE0102200)+4 种基金Zhejiang Provincial Natural Science Foundation of China(Grant No.LQ16C140001)Zhejiang Provincial Key Research and Development Program of China(Grant No.2015C02019)Strategic Research on“Plant Microbiome and Agroecosystem Health”(Grant No.2020ZL008Cao Guangbiao High Science and Technology Foundation,Zhejiang University)the Fundamental Research Funds for the Central Universities(Grant No.2021FZZX001-31,Zhejiang University).
文摘Bacteria equipped with virulence systems based on highly bioactive small molecules can circumvent their host's defense mechanisms.Pathogens employing this strategy are currently threatening global rice production.In the present study,variations in the virulence of the highly destructive Barkholderiaplantarii were observed in different rice-producing regions.The environment-linked variation was not attributable to any known host-related or external factors.Co-occurrence analyses indicated a connection between reduced virulence and 5-Amino-l,3,4-thiadiazole-2-thiol(ATT),a non-bactericidal organic compound.ATT,which accumulates in rice plants during metabolization of specific agrochemicals,was found to reduce virulence factor secretion by B.plantarii up to 88.8%and inhibit pathogen virulence by hijacking an upstream signaling cascade.Detailed assessment of the newly discovered virulence inhibitor resulted in mechanistic insights into positive effects of ATT accumulation in plant tissues.Mechanisms of virulence alleviation were deciphered by integrating high-throughput data,gene knockout mutants,and molecular interaction assays.TroK,a histidine protein kinase in a two-component system that regulates virulence factor secretion,is likely the molecular target antagonized by ATT.Our findings provide novel insights into virulence modulation in an important plant-pathogen system that relies on the host's metabolic activity and subsequent signaling interference.
基金supported by the National Key R&D Program of China(No.2021YFE0113700)the National Natural Science Foundation of China(No.32122074)+1 种基金the Fundamental Research Funds for the Central Universities(No.2021FZZX001-31)the Programme for High-Level Talents Cultivation of Zhejiang University,and the Strategic Research on‘Plant Microbiome and Agroecosystem Health'(No.2020ZL008,Cao Guangbiao High Science and Technology Foundationof Zhejiang University),China。
文摘Seed-borne bacterial pathogens cause severe yield loss and biotoxin contamination in rice,leading to increasing concern on the global food supply and environmental safety.Plant native microbes play an important role in defending against diseases,but their actions are often influ-enced by the chemical fungicides applied in the field.Here,Bacillus licheniformis mmj was isolated from rice spikelet,which uniquely showed not only fungicide-responsiveness but also broad-spectrum antimicrobial activity against major rice bacterial pathogens including Xanthomonas oryzae pv.oryzae,Burkholderia plantari and Burkholderia glumae.To understand the hallmark underlying the environmental adaptation and anti-microbial activity of B.licheniformis mmj,the genome sequence was determined by SMRT and subjected to bioinformatics analysis.Genome sequence analysis enabled the identification of a set of antimicrobial-resistance and antibacterial activity genes together with an array of harsh environment-adaptive genes.Moreover,B.licheniformis mmj metabolites were analyzed with gas chromatography coupled to triple quadrupole mass spectrometry,and the volatile components that were linked with the antimicrobial activity were preliminarily profiled.Collectively,the present findings reveal the genomic and metabolic landscapes underlying fungicide-responsive B.licheniformis,which offers a new opportunity to design harsh environment-adaptive biopesticides to cope with prevalent bacterial phytopathogens.
基金supported by National Key Research and Development Project(2023YFD2000103)Zhejiang province agricultural machinery research,manufacturing and application integration project(2023-YT-06)+2 种基金International S&T Cooperation Program of China(Grant No.2019YFE0103800)the National Key R&D Program of China(2021YFE0113700)the National Natural Science Foundation of China(32122074,U21A20219)。
文摘Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing regions.The disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as example.Bakanae disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of conidia.Therefore,early disease surveillance plays a crucial role in securing rice production.Traditional monitoring methods are both time-consuming and labor-intensive and cannot be broadly applied.In this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae disease.Phenotypic data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease mechanism.Hyperspectral data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning algorithms.Based on this model,an average accuracy of 92.2%was achieved on the 21st day of infection.It also achieved an accuracy of 79.4%as early as the 9th day.Universal characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field surveillance.Collectively,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.
基金This work was supported by the National Natural Science Foundation of China(grant no.22176173)the Natural Science Foundation of Zhejiang Province(grant no.LY22B070008).
文摘A growing body of evidence has demonstrated the significance of the gut microbiota in host health,while the association between gut microbiota dysbiosis and multiple diseases is yet elusive in the scenario of exposure to widely used pesticides.Here,we show that gut microbiota dysbiosis involves in host's abnormal lipid metabolism and consequently the non-alcoholic fatty liver disease in Xenopus laevis upon exposure to cis-bifenthrin,one of the most prevalent pyrethroid insecticides in the world.With the guidance of gut microbiota analysis,we found that cis-bifenthrin exposure significantly perturbed the gut microbial community,and the specific taxa that served as biomarkers were identified.Metabolomics profiling and association analysis further showed that a significant change of intestinal metabolites involved in lipid metabolic pathways were induced along with the microbiota dysbiosis upon exposure to cis-bifenthrin.Detailed investigation showed an altered functional regulation of lipids in the liver after cis-bifenthrin exposure and the accumulation of lipid droplets in hepatocytes.Specifically,a change in deoxycholic acid alters bile acid hepatoenteral circulation,which affects lipid metabolism in the liver and ultimately causes the development of fatty liver disease.Collectively,these findings provide novel insight into the gut microbiota dysbiosis upon pesticide exposure and their potential implication in the development of chronic host diseases related to liver metabolic syndrome.
基金supported by the Key R&D Plan of Zhejiang Province(2021C02057,2020C02002)the National Key R&D Program of China(2021YFE0113700)+2 种基金the International S&T Cooperation Program of China(2019YFE0103800)Fundamental Research Funds for the Zhejiang Provincial Universities[2021XZZX024]Zhejiang University Global Partnership Fund.We also appreciate Prof.Zhonghua Ma(Institute of Biotechnology,Zhejiang University)for his insightful advice on this work.
文摘The past few years have witnessed significant progress in emerging disease detection techniques foraccurately and rapidly tracking rice diseases and predicting potential solutions. In this review we focuson image processing techniques using machine learning (ML) and deep learning (DL) models related tomulti-scale rice diseases. Furthermore, we summarize applications of different detection techniques,including genomic, physiological, and biochemical approaches. In addition, we also present the state-ofthe-art in contemporary optical sensing applications of pathogen–plant interaction phenotypes. Thisreview serves as a valuable resource for researchers seeking effective solutions to address the challenges of high-throughput data and model recognition for early detection of issues affecting rice cropsthrough ML and DL models.
基金supported by the National Natural Science Foundation of China(32122074)the National Key R&D Program of China(2023YFD1400901)the Zhejiang University Global Partnership Fund,and the Fundamental Research Funds for the Central Universities(2021FZZX001-31 and 226-2023-00070).
文摘Emerging evidence suggests a link between alterations in the gut microbiome and adverse health outcomes in the hosts exposed to environmental pollutants.Yet,the causal relationships and underlying mechanisms remain largely undefined.Here we show that exposure to biotoxins can affect gut pathobiome assembly in amphibians,which in turn triggers the toxicity of exogenous pollutants.We used Xenopus laevis as a model in this study.Tadpoles exposed to tropolone demonstrated notable developmental impairments and increased locomotor activity,with a reduction in total length by 4.37%e22.48%and an increase in swimming speed by 49.96%e84.83%.Fusobacterium and Cetobacterium are predominant taxa in the gut pathobiome of tropolone-exposed tadpoles.The tropolone-induced developmental and behavioral disorders in the host were mediated by assembly of the gut pathobiome,leading to transcriptome reprogramming.This study not only advances our understanding of the intricate interactions between environmental pollutants,the gut pathobiome,and host health but also emphasizes the potential of the gut pathobiome in mediating the toxicological effects of environmental contaminants.
