A great number of fencing facilities has been established in Three-River-Source National Park. However, with the transformation of wild animals into the main consumers of grassland ecosystem and the increasing years of fence (>15 years), whether the fence still has a positive effect on grassland ecosystem has become controversial. Therefore, taking the alpine steppe and alpine meadow in Three-River-Source National Park as the case study, this study focused on the effects of long-term enclosure on different ecological components by investigating plant communities, soil physical and chemical characteristics and soil microbial characteristics (16S, ITS). Furthermore, we evaluated the ecological benefits of long-term fencing based on the stability of plant communities and microbial networks. We found that fencing did not significantly promote the stability of plant community in different grassland types. The analysis of bacteria-fungal symbiotic network indicated that fencing significantly reduced the stability of soil microbial network in alpine meadows. The results of structural equation showed that the microbial community was indirectly affected by the changes of soil moisture content (SMC) and soil total nutrient content in the alpine steppe, and the stability of microbial network was significantly correlated with the diversity of fungal community. In alpine meadows, fencing indirectly affected soil microbial community by changing SMC and pH. High SMC was not conducive to microbial network stability, while high plant community stability was beneficial to microbial network stability. Network stability was remarkably related to bacterial community composition and diversity, as well as fungal community diversity. Therefore, in Three-River-Source National Park, the positive effects of long-term fencing on various components in different grassland types are weak, especially the negative effects on the stability of soil microbial community in alpine meadows may also weaken the stability of the ecosystem, which is not conducive to the ecological protection of grassland ecosystem.
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http://dx.doi.org/10.1016/j.scitotenv.2023.166076 | DOI Listing |
J Oral Microbiol
January 2025
Integrative Microecology Clinical Center, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Technology Research Center of Gut Microbiota Transplantation, The Clinical Innovation & Research Center, Shenzhen Key Laboratory of Viral Oncology, Department of Clinical Nutrition, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Background: This study aims to develop an oral microbiota-based model for gastric cancer (GC) risk stratification and prognosis prediction.
Methods: Oral microbial markers for GC prognosis and risk stratification were identified from 99 GC patients, and their predictive potential was validated on an external dataset of 111 GC patients. The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.
Front Res Metr Anal
January 2025
Centre for Postgraduate Studies, Cape Peninsula University of Technology, Cape Town, South Africa.
Big Data communication researchers have highlighted the need for qualitative analysis of online science conversations to better understand their meaning. However, a scholarly gap exists in exploring how qualitative methods can be applied to small data regarding micro-bloggers' communications about science articles. While social media attention assists with article dissemination, qualitative research into the associated microblogging practices remains limited.
View Article and Find Full Text PDFMicrobiome
January 2025
Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, 010010, China.
Background: While Gangba sheep being well known for their unique flavour and nutritional value, harsh environmental factors negatively affect their growth and development, leading to poor productivity. The gastrointestinal tract microbiota plays an important role in host nutrient absorption and metabolism. The identification of dynamic changes in the gastrointestinal microbial communities and their functions is an important step towards improving animal production performance and health.
View Article and Find Full Text PDFMycoses
January 2025
Laboratorio de Micología y Diagnóstico Molecular-Cátedra de Parasitología y Micología-Bioquímica, Universidad Nacional del Litoral, Santa Fe, Argentina.
Background: Access to fungal disease diagnosis is crucial for reducing mortality, yet it varies widely across Argentina, especially outside Buenos Aires. In regions like Santa Fe and Paraná, where most healthcare facilities are under 150 beds, maintaining specialised mycology labs is challenging.
Objectives: This work describes the establishment and first-year results of a centralised Fungal Disease Response Centre (FDRC) and referral network serving this region, covering approximately 1 million inhabitants.
Commun Dis Intell (2018)
January 2025
The World Health Organization Collaborating Centre for STI and AMR and Neisseria Reference Laboratory, NSW Health Pathology, Microbiology, Prince of Wales Hospital, Randwick, NSW, 2031, Australia.
The Australian National Neisseria Network (NNN) comprises reference laboratories in each state and territory that report data on antimicrobial susceptibility testing to an agreed group of antimicrobial agents for the Australian Gonococcal Surveillance Programme (AGSP). The AGSP data are presented quarterly in tabulated form, as well as in the AGSP annual report. This report presents national gonococcal antimicrobial resistance surveillance data from 1 April to 30 June 2024.
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