Metatranscriptomic insights into the mechanism of 'Multiple Qu' utilization in Jian-flavor Baijiu fermentation.

The unique process of "Multiple-qu fermentation" (MF) is essential for the formation of the Jian-flavor Baijiu, but the mechanisms behind its aroma development remain not fully understood. This study compared the effects of "Single-qu fermentation"(SF) and MF on Baijiu production to elucidate the microbial and metabolic interactions responsible for its distinct aroma. Firstly, significant differences were observed in the microbial communities of the two types of Daqu.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

The long-term intake of milk fat does not significantly increase the blood lipid burden in normal and high-fat diet-fed mice.

After 10 weeks of feeding C57BL/6J mice with a normal diet (ND) or a high-fat diet (HFD), a 7-week intervention with milk fat and whole milk was conducted to assess their long-term effects on host blood lipid levels. The results showed that milk fat and whole milk did not significantly elevate low-density lipoprotein cholesterol (LDL-C) in either ND- or HFD-fed mice. In ND mice, milk fat and whole milk improved gut microbiota diversity and Amplicon Sequence Variants.

Exploring protein natural diversity in environmental microbiomes with DeepMetagenome.

Protein natural diversity offers a vast sequence space for protein engineering, and deep learning enables its detection from metagenomes/proteomes without prior assumptions. DeepMetagenome, a Python-based method, explores protein diversity through modules for training and analyzing sequence datasets. The deep learning model includes Embedding, Conv1D, LSTM, and Dense layers, with sequence feature analysis for data cleaning.

ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research.

ImageGP is an extensively utilized, open-access platform for online data visualization and analysis. Over the past 7 years, it has catered to more than 700,000 usages globally, garnering substantial user feedback. The updated version, ImageGP 2 (available at https://www.

USEARCH 12: Open-source software for sequencing analysis in bioinformatics and microbiome.

The well-known bioinformatic software USEARCH v12 was open sourced. Its meaning encourages the microbiome research community to constantly develop excellent bioinformatic software based on the codes. The open source and popularization of artificial intelligence (AI) will make a better infrastructure for microbiome research.

Nanopore sequencing: flourishing in its teenage years.

Over the past decade, nanopore sequencing has experienced significant advancements and changes, transitioning from an initially emerging technology to a significant instrument in the field of genomic sequencing. However, as advancements in next-generation sequencing technology persist, nanopore sequencing also improves. This paper reviews the developments, applications, and outlook on nanopore sequencing technology.

Reconstituting gut microbiota-colonocyte interactions reverses diet-induced cognitive deficits: The beneficial of polysaccharides.

Consumption of a high-fat diet (HFD) has been implicated in cognitive deficits and gastrointestinal dysfunction in humans, with the gut microbiota emerging as a pivotal mediator of these diet-associated pathologies. The introduction of plant-based polysaccharides into the diet as a therapeutic strategy to alleviate such conditions is gaining attention. Nevertheless, the mechanistic paradigm by which polysaccharides modulate the gut microbiota remains largely undefined.

Visualizing set relationships: EVenn's comprehensive approach to Venn diagrams.

Venn diagrams serve as invaluable tools for visualizing set relationships due to their ease of interpretation. Widely applied across diverse disciplines such as metabolomics, genomics, transcriptomics, and proteomics, their utility is undeniable. However, the operational complexity has been compounded by the absence of standardized data formats and the need to switch between various platforms for generating different Venn diagrams.

ChatGPT and generative AI are revolutionizing the scientific community: A Janus-faced conundrum.

The advent of generative artificial intelligence (AI) technologies marks a transformative moment for the scientific sphere, unlocking novel avenues to elevate scientific writing's efficiency and quality, expedite insight discovery, and enhance code development processes. Essential to leveraging these advancements is prompt engineering, a method that enhances AI interaction efficiency and quality. Despite its benefits, effective application requires blending researchers' expertise with AI, avoiding overreliance.

The gut microbiota-aromatic hydrocarbon receptor (AhR) axis mediates the anticolitic effect of polyphenol-rich extracts from .

Inflammatory bowel disease (IBD) is a significant global health concern. The gut microbiota plays an essential role in the onset and development of IBD. (SH), a traditional Chinese medicinal mushroom, has excellent anti-inflammatory effects and is effective at modulating the gut microbiota.

Wekemo Bioincloud: A user-friendly platform for meta-omics data analyses.

The increasing application of meta-omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for existing bioinformatics tools. In response, we introduce Wekemo Bioincloud-a specialized platform for -omics studies.

Visible Light-Accelerated Palladium-Catalyzed Thiocarbonylation Using Oxalic Acid Monothioester with Aryl/Alkenyl Sulfonium Salts.

Herein, we present a decarboxylative thiocarbonylation of aryl and alkenyl sulfonium salts with oxalic acid monothioethers (OAMs), which can be achieved by visible light-accelerated palladium catalysis. Sulfonium salts are widely available, and OAM is an easily accessible and stored reagent; this mild reaction method can also be used for the synthesis of different types of thioester compounds. The reaction represents a new application of visible light-accelerated palladium catalysis in catalytic decarboxylative cross-couplings.

High-fat diet-disturbed gut microbiota-colonocyte interactions contribute to dysregulating peripheral tryptophan-kynurenine metabolism.

Background: Aberrant tryptophan (Trp)-kynurenine (Kyn) metabolism has been implicated in the pathogenesis of human disease. In particular, populations with long-term western-style diets are characterized by an excess of Kyn in the plasma. Host-gut microbiota interactions are dominated by diet and are essential for maintaining host metabolic homeostasis.

Long-read metagenomic sequencing reveals that high-copy small plasmids shape the highly prevalent antibiotic resistance genes in animal fecal microbiome.

The emergence and prevalence of animal-derived antibiotic resistance genes (ARGs) pose a great threat to public health globally. Long-read metagenomic sequencing is increasingly being used to decipher the fate of environmental ARGs. However, the investigations of the distribution, co-occurrence patterns, and host information of animal-derived environmental ARGs with long-read metagenomic sequencing have received little attention.

iMeta progress and acknowledgment of reviewers in 2022.

Milestones of the first year of iMeta. iMeta is an open-access Wiley partner journal launched by iMeta Science Society consisting of worldwide scientists in bioinformatics and metagenomics. In 2022, iMeta released four issues, including 60 publications with a total of 340 citations.