The intricate bidirectional relationships among microbiota, microbial proteins, drugs, and diseases are essential for advancing precision medicine and minimizing adverse drug reactions. However, there are currently no data resources that comprehensively describe these valuable interactions. Therefore, the Microbiota-Drug Interaction and Disease Phenotype Interrelation Database (MDIPID) database was developed in this study. MDIPID is distinctive in its ability to elucidate the complex interactions among microbiota, microbial proteins, drugs/substances, and disease phenotypes, thereby providing a comprehensive interconnected network that facilitates the identification of microbial therapy targets and advances personalized medicine. This comprehensive resource is expected to become a popular repository for researchers aiming to identify microbial therapeutic targets, predict drug efficacy, and develop new therapies, thereby facilitating the advancement of personalized medicine. MDIPID can be accessed free without any login requirement at: https://idrblab.org/mdipid/.

The gut microbiota–cancer interaction functions through multi-level biological mechanisms, forming the basis for both diagnostic and therapeutic applications. Current technical and biological challenges drive the field toward precision medicine approaches, aiming to integrate multi-dimensional data for optimized, personalized cancer treatments.

This study dissects the genetic architecture of maize Root System Architecture, identifying significant root trait differences between tropical/subtropical and temperate lines. Using genome-wide association study, 3511 genes were linked to root morphology, weight, and slice traits. The candidate gene fucosyltransferase5 was validated for its role in root development and heat tolerance. Machine learning models based on root slice traits achieved high prediction accuracy, offering robust tools for ideotype-based molecular breeding and genetic enhancement of maize.

Preconception administration of antibiotics to female mice reduces the abundance of Limosilactobacillus reuteri in the maternal gut microbiota during pregnancy, subsequently affecting propionate levels. Decreased propionate levels downregulated the expression of Gdnf/Ret/Sox10 mediated by GPR41, leading to abnormal development of the enteric nervous system during the embryonic period. This dysplasia results in colonic dysmotility, impaired colonic epithelium, and increased susceptibility to water-avoidance stress in offspring.

We developed an integrated Machine Learning and Genetic Algorithm-driven Multiomics analysis (iMLGAM), an R package that combines various machine learning algorithms with genetic algorithms and multi-omics data to predict responses to immune checkpoint blockade (ICB) therapy. Utilizing pan-cancer tumor data, we established the iMLGAM scoring system to forecast ICB therapy outcomes. The system was validated through experimental methods and implemented as a Shiny web application. Clinical cohort validation further demonstrated its reliability in optimizing immunotherapy treatment decisions.

We developed an integrated Machine Learning and Genetic Algorithm-driven Multiomics analysis (iMLGAM), an R package that combines various machine learning algorithms with genetic algorithms and multi-omics data to predict responses to immune checkpoint blockade (ICB) therapy. Utilizing pan-cancer tumor data, we established the iMLGAM scoring system to forecast ICB therapy outcomes. The system was validated through experimental methods and implemented as a Shiny web application. Clinical cohort validation further demonstrated its reliability in optimizing immunotherapy treatment decisions.

Closely related transcription factor (TF) paralogs are facing the “specificity paradox”—they share similar binding motifs, but their cis-regulatory targets and physiological roles can be different. By applying high-throughput SELEX to 40 R2R3-MYB TFs, this study currently generates the largest data set illustrating the homodimeric specificities of plant TFs, while also reveals a yet unrecognized mechanism to solve the “specificity paradox”—a TF's binding specificity can change drastically upon homodimerization, and become unique across the whole family.

This study reports the first high-quality telomere-to-telomere (T2T) Rhododendron liliiflorum genome with 11 chromosomes that are gap free. The 24 telomeres and all 13 centromeres detected in this genome, which reached the highest quality gold level. In addition, other three Rhododendron species were sequenced and assembled to the chromosomal level. Based on 15 Rhododendron genomes, we conducted a pan-genome analysis of genus Rhododendron. Combining the genome and whole transcriptome sequencing, we identified several key genes and miRNAs related to the heat stress, which were further verified by transgenic experiments. Our findings provide rich resources for comparative and functional genomics studies of Rhododendron species.

Bacillus subtilis (B. subtilis) and its metabolite 2-hydroxy-4-methylpentanoic acid alleviated lipopolysaccharide (LPS)-induced intestinal epithelial barrier damage via the growth arrest and DNA damage 45A (GADD45A)-Wnt/β-catenin axis. LPS treatment led to a significant disruption of gut homeostasis. B. subtilis administration could restore gut homeostasis by alleviating inflammatory responses, increasing the abundance of beneficial bacteria, and enhancing the intestinal epithelial barrier.

During the use of total parenteral nutrition (TPN), the decrease in the immune function of intestinal Group 3 innate lymphoid cells (ILC3s) can lead to an increased susceptibility to infections in patients. Specifically, the use of TPN causes dysbiosis of the gut microbiota, inhibiting the secretion of IL-22 by intestinal ILC3s, which in turn results in damage to the intestinal barrier. The reduction of Lactobacillus murinus (L. murinus) is an important factor in this process. Supplementing with L. murinus can increase the expression of its metabolite, indole-3-carboxylic acid (ICA). ICA promotes the secretion of IL-22 by ILC3s by targeting Rorγt, thereby improving the intestinal barrier and reducing susceptibility to infections. This study provides an important theoretical basis for using gut microbiota to regulate immune homeostasis in the treatment of clinical diseases.

EasyMetagenome is a user-friendly shotgun metagenomics pipeline designed for comprehensive microbiome analysis, supporting quality control, host removal, read-based, assembly-based, binning, genome and pan-genome analysis. It offers customizable settings, data visualizations, and parameter explanations. The pipeline is freely available at https://github.com/YongxinLiu/EasyMetagenome.

The concept of “gut–X axis”: the intestine and intestinal microbiota are proven to be able to modulate the pathophysiologic progressions of the extraintestinal organs' diseases. The bioactive chemicals and/or intestinal immune cells can translocate into the circulatory system and other organs and influence the immune reactions, metabolic status, cells physiology, and so forth of extraintestinal organs, finally regulating these organs' homeostasis. Meanwhile, other organs may reversely impact the intestine, namely such regulatory axis is bidirectional.

A 4-month of time-restricted feeding (TRF) intervention alleviated cognitive impairments in Alzheimer's disease (AD) patients, while a 3-month TRF regimen improved spatial memory, reduced amyloid-beta accumulation, and promoted microglial aggregation around plaques in AD mice. Antibiotic-induced gut microbiota depletion partly abolished TRF's benefits. Through creatively integrating gut microbiota, metabolites, and hippocampal genes, Bifidobacterium pseudolongum (B. pseudolongum) and propionic acid (PA) were identified as key contributors to TRF's cognitive effects, with supplementation of either mimicking TRF's protective benefits. Positron emission tomography imaging revealed that PA directly crossed the blood-brain barrier, and PA supplementation restored disrupted metabolism in AD mice. Knockdown of its receptor free fatty acid receptor 3 (FFAR3) diminished TRF's protective effects. A case-control study showed a negative association between PA and cognitive status, while the TRF clinical intervention linked fecal PA to cognitive status. These findings suggest PA as a potential biomarker and underscore precise TRF-based nutritional interventions as a promising strategy for managing neurodegenerative diseases.

Fastp is a widely adopted tool for FASTQ data preprocessing and quality control. It is ultrafast and versatile and can perform adapter removal, global or quality trimming, read filtering, unique molecular identifier processing, base correction, and many other actions within a single pass of data scanning. Fastp has been reconstructed and upgraded with some new features. Compared to fastp 0.20.0, the new fastp 0.23.2 is even 80% faster.

Representative visualization results of ImageGP. ImageGP supports 16 types of images and four types of online analysis with up to 26 parameters for customization. ImageGP also contains specialized plots like volcano plot, functional enrichment plot for most omics-data analysis, and other 4 specialized functions for microbiome analysis. Since 2017, ImageGP has been running for nearly 5 years and serving 336,951 visits from all over the world. Together, ImageGP (http://www.ehbio.com/ImageGP/) is an effective and efficient tool for experimental researchers to comprehensively visualize and interpret data generated from wet-lab and dry-lab.

The ggtree object is designed to store phylogenetic tree and associated data, and the object itself is a graphic object that can be rendered as an image file. This work will increase the reproducibility and reusability of phylogenetic data, as well as facilitate integrative and comparative studies.

A new release of PhyloSuite, capable of conducting tree-based analyses. Detailed guidelines for each step of phylogenetic and tree-based analyses, following the “What? Why? and How?” structure. This protocol will help beginners learn how to conduct multilocus phylogenetic analyses and help experienced scientists improve their efficiency.