Nematode-bacterial associations are far-reaching subjects in view of their impact on ecosystems, economies, agriculture and human health. There is still no conclusion regarding which pathogenic bacteria sense nematodes. Here, we found that the pathogenic bacterium Bacillus nematocida B16 was sensitive to C. elegans and could launch smart attacks to kill the nematodes. Further analysis revealed that the spores of B. nematocida B16 are essential virulence factors. Once gaseous molecules (morpholine) produced from C. elegans were sensed, the sporulation of B16 was greatly accelerated. Then, B16 showed maximum attraction to C. elegans during the spore-forming process but had no attraction until all the spores were formed. The disruption of either the spore formation gene spo0A or the germination gene gerD impaired colonization and attenuated infection in B16. In contrast, complementation with the intact genes restored most of the above-mentioned deficient phenotypes, which indicated that the spo0A gene was a key factor in the smart attack of B16 on C. elegans. Further, transcriptome, molecular simulations and quantitative PCR analysis showed that morpholine from C. elegans could promote sporulation and initiate infection by increasing the transcription of the spo0A gene by decreasing the transcription of the rapA and spo0E genes. The overexpression of rapA or spo0E decreased the induced sporulation effect, and morpholine directly reduced the level of phosphorylation of purified recombinant RapA and Spo0E compared to that of Spo0A. Collectively, these findings further support a 'Trojan horse-like' infection model. The significance of our paper is that we showed that the soil-dwelling bacterium B. nematocida B16 has the ability to actively detect, attract and attack their host C. elegans. These studies are the first report on the behaviours, signalling molecules and mechanism of the smart attack of B16 on nematodes and also reveal new insights into microbe-host interactions.
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http://dx.doi.org/10.1111/1751-7915.13508 | DOI Listing |
Front Plant Sci
January 2025
Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of Smart Grid of Ministry of Education, School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
The galloping of iced transmission line under extreme weather conditions, will lead to significant electrical faults and structural damage, and is becoming a serious issue that threatens the safe and stable operation of the power grid. In this paper, a simulation model of 10 kV insulated overhead transmission line is established based on finite element method, and the effects of various influencing factors on the galloping behavior and aerodynamic characteristics are investigated and analyzed. The results show that the aerodynamic stability of the iced lines is poorest, when the wind speed is between 7 and 15 m/s and the wind attack angle is around 50°.
View Article and Find Full Text PDFChemSusChem
January 2025
Dalian University of Technology, State Key Laboratory of Fine Chemicals, West Campus E-223, 2 Linggong Rd.,, Dalian, CHINA.
Developing high-activity and long-term stable electrocatalysts for electrochemical CO2 reduction reaction (eCO2RR) to valuable products is still a challenge. An in-depth understanding of reaction mechanisms and the structure-function relationship is required for the development of an advanced catalytic eCO2RR system. Herein, a coordination polymer of indium(III) and benzenehexathiol (BHT) was developed as an electrocatalyst (In-BHT) for eCO2RR to HCOO-, which displayed an outstanding catalytic performance over the entire pH range.
View Article and Find Full Text PDFSci Rep
January 2025
Computer Science Department, Faculty of Computers and Information, South Valley University, Qena, 83523, Egypt.
Adversarial attacks were commonly considered in computer vision (CV), but their effect on network security apps rests in the field of open investigation. As IoT, AI, and 5G endure to unite and understand the potential of Industry 4.0, security events and incidents on IoT systems have been enlarged.
View Article and Find Full Text PDFFuture Cardiol
January 2025
Nanomaterial and Devices Laboratory, School of Engineering, Computing and Mathematics, Faculty of Science and Technology, University of Plymouth, Plymouth, Devon, UK.
Introduction: Little information exists regarding the detection of early coronary heart disease protein biomarkers. The aim of this study was to investigate several potential candidates.
Methods: Systematic review was carried out followed by meta-analysis.
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