- Aquaculture disease management and microbiota
- Antimicrobial Peptides and Activities
- Invertebrate Immune Response Mechanisms
- Genomics and Phylogenetic Studies
- Microbial Natural Products and Biosynthesis
- Aquaculture Nutrition and Growth
- Autism Spectrum Disorder Research
- Plant-Microbe Interactions and Immunity
- Identification and Quantification in Food
- Machine Learning in Bioinformatics
- Ginseng Biological Effects and Applications
- Fungal Biology and Applications
- Catalysis for Biomass Conversion
- Marine and fisheries research
- Genetics and Neurodevelopmental Disorders
- Insect symbiosis and bacterial influences
- Water Quality Monitoring Technologies
- Biochemical and Structural Characterization
- Plant Parasitism and Resistance
- Microbial Metabolic Engineering and Bioproduction
- Catalysts for Methane Reforming
- Molecular Biology Techniques and Applications
- Bioinformatics and Genomic Networks
- Venomous Animal Envenomation and Studies
- Nanoparticles: synthesis and applications
Beijing Normal University
2020-2025
Hebei University of Technology
2022-2024
Hainan University
2022-2023
South China Agricultural University
2020-2021
Henan University of Science and Technology
2018
Sun Yat-sen University
2016
ETC International
2014
Abstract Plants and their associated microbes live in complicated, changeable, unpredictable environments. They usually interact with each other many ways through multidimensional, multiscale, multilevel coupling manners, leading to challenges the coexistence of randomness determinism or continuity discreteness. Gaining a deeper understanding these diverse interaction mechanisms can facilitate development data-mining theories methods for complex systems, coupled modeling systems different...
Antimicrobial peptides (AMPs) are valuable alternatives to traditional antibiotics, possess a variety of potent biological activities and exhibit immunomodulatory effects that alleviate difficult-to-treat infections. Clarifying the structure-activity relationships AMPs can direct synthesis desirable peptide therapeutics. In this study, lipopolysaccharide-binding domain (LBD) was identified through machine learning-guided directed evolution, which acts as functional anti-lipopolysaccharide...
The integration of artificial intelligence (AI) into natural product science is an exciting and rapidly evolving area research. By combining classical chemistry biology with deep learning, these technologies have significantly improved research efficiency, particularly in overcoming laborious time-consuming processes. Recently, there has been growing interest leveraging multimodal algorithms to integrate biologically relevant yet mathematically disparate data sets order reorganize knowledge...
The Chinese sea bass ( Lateolabrax maculatus ) is an important aquaculture fish, but diseases caused by Aeromonas hydrophila have led to severe economic losses the industry in recent years. To date, only a few studies focused on relationship between intestinal immune response and changes microbes A. infection. Here, we report transcriptome infected bass. Histopathological results showed that steatosis vacuolation occurred liver villi mesentery were seriously affected after By extracting...
ABSTRACT Panax ginseng, a prized medicinal herb, has faced increasingly challenging field production due to soil degradation and fungal diseases in Northeast China. Wild-simulated cultivation prevailed because of its sustainable management low disease incidence. Despite the recognized benefits rhizosphere microorganisms ginseng cultivation, their genomic functional diversity remain largely unexplored. In this work, we utilized shotgun metagenomic analysis reveal that Pseudomonadota,...
Using a combination of molecular networking and genetics, we preliminarily demonstrate the biosynthesis type I polyketide alkaloid lydicamycins.
Abstract BACKGROUND Levulinic acid is an important platform chemical derivable from lignocellulosic biomass. In this work, the hydrogenolysis of levulinic to produce 1,4‐pentanediol was performed over some Co‐based non‐noble catalysts. The relationship between catalyst properties and catalytic activity investigated, effects reaction conditions on were studied. RESULTS Co/ZrO 2 prepared by a coprecipitation method showed high performance in form 1,4‐pentanediol. calcination significantly...
Utilizing a large protein language model, we have formulated deep learning framework designed for predicting type II polyketide natural products.
Kuruma prawn, Marsupenaeus japonicus, has the third largest annual yield among shrimp species with vital economic significance in China. White spot syndrome virus (WSSV) is a great threat to global farming industry and results high mortality. Pellino, highly conserved E3 ubiquitin ligase, been found be an important modulator of Toll-like receptor (TLR) signaling pathways that participate innate immune response ubiquitination. In present study, Pellino gene from japonicus was identified. A...
The kuruma shrimp (Marsupenaeus japonicus) includes two cryptic species, which are distributed mostly allopatrically but co-occur in the northern South China Sea (from Huilai to Beihai). To obtain a better understanding of fine-scale genetic structure and parapatric diversification these varieties northwestern Pacific region, we used genotyping-by-sequencing (GBS) comparative transcriptomics approach establish their phylogenetic relationships. Using GBS technique, genotyped 28891 SNPs 160...
Recent years have witnessed a tremendous development in shrimp farming around the world, which, however, has raised variety of issues, possibly due to lack knowledge behavior farms. This study focused on relationship between and various factors natural environment through situ surveys, as distinguished from majority laboratory studies behavior. In survey, behaviors kuruma prawn (Penaeus japonicus) were investigated groups swimming water, crawling sand, resting hiding followed by...
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Failure to receive timely treatment may seriously affect child's physical and mental development. Early diagnosis of autism crucial for recovery normal Currently, MRI-assisted methods are increasingly available. However, due the complexity ASD lesions, it still difficult establish robust models. In CNN-based models, detailed information be lost operations such as convolution down-sampling. The potential Transformer...
Natural products derived from the rhizosphere offer promising prospects for development of antibiotics and herbicides.
Using a DNA digital storage algorithm, we developed standardized process to embed natural language within microorganisms.