Bacterial communities in the rhizosphere play an important role in sustaining plant growth and the health of diverse soils. Recent studies have demonstrated that microbial keystone taxa in the rhizosphere microbial community are extremely critical for the suppression of diseases. However, the mechanisms involved in disease suppression by keystone species remain unclear. The present study assessed the effects of three strains, which were identified as keystone species in our previous study, on the growth performance and root-associated bacterial community of tobacco plants. A high relative abundance of was found in the non-inoculated group, while a large population was observed in all groups inoculated with the three strains. Correspondingly, the activities of the defense-related enzymes and the expression levels of the defense signaling marker genes of the plant were increased after inoculation with the strains. Moreover, the correlation analyses showed that the relative abundance of , the activity of superoxide dismutase, catalase, and polyphenol oxidase, and the expression of , , and had a significantly negative (<0.05) relationship with the abundance of . This further revealed that the keystone species, such as spp., can suppress bacterial wilt disease by enhancing the systemic resistance of tobacco plants.
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http://dx.doi.org/10.3389/fpls.2021.738611 | DOI Listing |
Ocul Immunol Inflamm
December 2024
Department of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, China.
Background: Increased reactive oxygen species (ROS) are involved in the pathological process of dry eye disease. Our previous results suggested that norepinephrine (NE) has a protective effect on dry eye.
Purpose: This study explored the potential therapeutic role and underlying mechanisms of NE in benzalkonium chloride (BAC)-induced dry eye disease.
Ecotoxicol Environ Saf
December 2024
Center for Environmental Safety Research, Division of Gyeongnam Bio-Environmental Research, Korea Institute of Toxicology, Jinju 52834, Republic of Korea. Electronic address:
Microplastic (MP) represent a pervasive and escalating threat to aquatic ecosystems, impacting organisms from cellular to population levels. To investigate the immediate molecular impacts of MP exposure, we exposed Daphnia magna, a keystone species in freshwater ecosystems, to polystyrene microplastic particles (5 μm, 5 μg/L) for 48 h. Through proteomic and biochemical analyses, we identified extensive disruptions in key physiological pathways.
View Article and Find Full Text PDFFront Nutr
December 2024
Department of Clinical Laboratory, Dalian Women and Children's Medical Group, Dalian, China.
Background: The interaction between the human breast milk microbiota and human milk oligosaccharides (HMOs) plays a crucial role in the healthy growth and development of infants. We aimed to clarify the link between the breast milk microbiota and HMOs at two stages of lactation.
Methods: The microbiota and HMOs of 20 colostrum samples (C group, 1-5 days postpartum) and 20 mature milk samples (S group, 42 days postpartum) collected from postpartum mothers were analyzed using 16S rRNA gene high-throughput sequencing and high-performance liquid chromatography-tandem mass spectrometry.
Front Microbiol
December 2024
College of Water Sciences, Beijing Normal University, Beijing, China.
Sediments are key reservoirs for rare bacterial biospheres that provide broad ecological services and resilience in riverine ecosystems. Compared with planktons, there is a lack of knowledge regarding the ecological differences between abundant and rare taxa in benthic bacteria along a large river. Here, we offer comprehensive insights into the spatiotemporal distributions, co-occurrence networks, and assembly processes of three divided categories namely always rare taxa (ART), conditionally rare taxa (CRT), and conditionally rare and abundant taxa (CRAT) in sediments covering a distance of 4,300 km in the Yangtze River.
View Article and Find Full Text PDFArtif Life
December 2024
Hungarian University of Agriculture and Life Sciences, Institute of Mathematics and Basic Science, Department of Mathematics and Modelling.
It is very important to model the behavior of protocells as basic lifelike artificial organisms more and more accurately from the level of genomes to the level of populations. A better understanding of basic protocell communities may help us in describing more complex ecological systems accurately. In this article, we propose a new comprehensive, bilevel mathematical model of a community of three protocell species (one generalist and two specialists).
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