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18 results on '"Bacterial wilt disease"'

1. S8 Fig. Viability of R. solanacearum cells in soil microcosms

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

2. S6 Fig. Expression of all stress response and the type 3 secretion system (T3SS) and type 3 effector gene groups

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

3. S1 Fig. Experimental set-up and differentially expressed genes (DEGs)

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

4. S5 Fig. Induction of nitrogen metabolism genes in soil

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

5. S7 Fig. Expression of key genes associated with oxidative stress in soil and water at 3 dpi

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

6. S2 Fig. GO and KEGG enrichment analyses of the environmental conditions

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

7. S3 Fig. Time-course expression of the PhrpB::Lux reporter in strains disrupted for the different T3SS regulatory genes after resuspension in water

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

8. S4 Fig. Induction of the type 3 secretion system (T3SS) by basic pH in all natural water sources tested

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

9. S6 Table. Bacterial strains, plasmids, and oligonucleotides used in this work

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

10. S1 Dataset. DEGs in the two environmental conditions (Soil and Water) and in the three in planta conditions (Apoplast, Early xyem and Late xylem) compared to the reference rich B medium (phi)

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

11. S3 Table. List of genes correspoding to the intersections shown in the UpsetR plots (Fig 1B and 1D)

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

12. S1 Table. List of waters used in this work

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

13. S2 Table. Chemical analysis of the natural soil used in the study

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

14. S5 Table. Output tables of the KEGG and GO enrichment analysis conducted on general and exclusive up- and downregulated DEGs from water and soil conditions

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

15. S4 Table. TAG enrichment analysis summary

Author

Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., Valls, Marc, Pedro-Jové, Roger de, Corral, Jordi, Rocafort, Mercedes, Puigvert, Marina, Azam, Fàtima Latif, Vandecaveye, Agustina, Macho, Alberto P., Balsalobre, Carlos, Coll, Núria S., Orellano, Elena G., and Valls, Marc

Published
2023

16. The relative importance of soil moisture in predicting bacterial wilt disease occurrence

Author

Jiang, Gaofei, Wang, Ningqi, Zhang, Yaoyu, Zhang, Yuling, Yu, Jiabao, Zhang, Y., Wei, Zhong, Xu, Yangchun, Geisen, S.A., Friman, Ville Petri, Shen, Qirong, Jiang, Gaofei, Wang, Ningqi, Zhang, Yaoyu, Zhang, Yuling, Yu, Jiabao, Zhang, Y., Wei, Zhong, Xu, Yangchun, Geisen, S.A., Friman, Ville Petri, and Shen, Qirong

Abstract

Soil-borne plant diseases cause major economic losses globally. This is partly because their epidemiology is difficult to predict in agricultural fields, where multiple environmental factors could determine disease outcomes. Here we used a combination of field sampling and direct experimentation to identify key abiotic and biotic soil properties that can predict the occurrence of bacterial wilt caused by pathogenic Ralstonia solanacearum. By analyzing 139 tomato rhizosphere soils samples isolated from six provinces in China, we first show a clear link between soil properties, pathogen density and plant health. Specifically, disease outcomes were positively associated with soil moisture, bacterial abundance and bacterial community composition. Based on soil properties alone, random forest machine learning algorithm could predict disease outcomes correctly in 75% of cases with soil moisture being the most significant predictor. The importance of soil moisture was validated causally in a controlled greenhouse experiment, where the highest disease incidence was observed at 60% of maximum water holding capacity. Together, our results show that local soil properties can predict disease occurrence across a wider agricultural landscape, and that management of soil moisture could potentially offer a straightforward method for reducing crop losses to R. solanacearum.

Published
2021

17. Tomato root transformation followed by inoculation with ralstonia solanacearum for straightforward genetic analysis of bacterial wilt disease

Author

Chinese Academy of Sciences, Morcillo, R.J.L., Zhao, A., Tamayo Navarrete, María Isabel, García-Garrido, J. M., Macho, A. P., Chinese Academy of Sciences, Morcillo, R.J.L., Zhao, A., Tamayo Navarrete, María Isabel, García-Garrido, J. M., and Macho, A. P.

Abstract

Ralstonia solanacearum is a devastating soil borne vascular pathogen that can infect a large range of plant species, causing an important threat to agriculture. However, the Ralstonia model is considerably underexplored in comparison to other models involving bacterial plant pathogens, such as Pseudomonas syringae in Arabidopsis. Research targeted to understanding the interaction between Ralstonia and crop plants is essential to develop sustainable solutions to fight against bacterial wilt disease but is currently hindered by the lack of straightforward experimental assays to characterize the different components of the interaction in native host plants. In this scenario, we have developed a method to perform genetic analysis of Ralstonia infection of tomato, a natural host of Ralstonia. This method is based on Agrobacterium rhizogenes-mediated transformation of tomato roots, followed by Ralstonia soil-drenching inoculation of the resulting plants, containing transformed roots expressing the construct of interest. The versatility of the root transformation assay allows performing either gene overexpression or gene silencing mediated by RNAi. As a proof of concept, we used this method to show that RNAi-mediated silencing of SlCESA6 in tomato roots conferred resistance to Ralstonia. Here, we describe this method in detail, enabling genetic approaches to understand bacterial wilt disease in a relatively short time and with small requirements of equipment and plant growth space.

Published
2020

18. Seasonal variation in the biocontrol efficiency of bacterial wilt is driven by temperature-mediated changes in bacterial competitive interactions

Author

Wei, Zhong, Huang, Jianfeng, Yang, Tianjie, Jousset, Alexandre, Xu, Yangchun, Shen, Qirong, Friman, Ville Petri, Wei, Zhong, Huang, Jianfeng, Yang, Tianjie, Jousset, Alexandre, Xu, Yangchun, Shen, Qirong, and Friman, Ville Petri

Abstract

Microbe-based biocontrol applications hold the potential to become an efficient way to control plant pathogen disease outbreaks in the future. However, their efficiency is still very variable, which could be due to their sensitivity to the abiotic environmental conditions. Here, we assessed how environmental temperature variation correlates with ability of Ralstonia pickettii, an endophytic bacterial biocontrol agent, to suppress the Ralstonia solanacearum pathogen during different tomato crop seasons in China. We found that suppression of the pathogen was highest when the seasonal mean temperatures were around 20 °C and rapidly decreased with increasing mean crop season temperatures. Interestingly, low levels of disease incidence did not correlate with low pathogen or high biocontrol agent absolute densities. Instead, the biocontrol to pathogen density ratio was a more important predictor of disease incidence levels between different crop seasons. To understand this mechanistically, we measured the growth and strength of competition between the biocontrol agent and the pathogen over a naturally occurring temperature gradient in vitro. We found that the biocontrol strain grew relatively faster at low temperature ranges, and the pathogen at high temperature ranges, and that similar to field experiments, pathogen suppression peaked at 20 °C. Together, our results suggest that temperature-mediated changes in the strength of bacterial competition could potentially explain the variable R. solanacearum biocontrol outcomes between different crop seasons in China. Synthesis and applications. Our results suggest that abiotic environmental conditions, such as temperature, can affect the efficacy of biocontrol applications. Thus, in order to develop more consistent biocontrol applications in the future, we might need to find and isolate bacterial strains that can retain their functionality regardless of the changing environmental conditions.

Published
2017

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