A Comprehensive Guide to Quality Assessment and Data Submission for Genomic Surveillance of Enteric Pathogens.

This document outlines the steps necessary to assemble and submit the standard data package required for contributing to the global genomic surveillance of enteric pathogens. Although targeted to GenomeTrakr laboratories and collaborators, these protocols are broadly applicable for enteric pathogens collected for different purposes. There are five protocols included in this chapter: (1) quality control (QC) assessment for the genome sequence data, (2) validation for the contextual data, (3) data submission for the standard pathogen package or Pathogen Data Object Model (DOM) to the public repository, (4) viewing and querying data at NCBI, and (5) data curation for maintaining relevance of public data. The data are available through one of the International Nucleotide Sequence Database Consortium (INSDC) members, with the National Center for Biotechnology Information (NCBI) being the primary focus of this document. NCBI Pathogen Detection is a custom dashboard at NCBI that provides easy access to pathogen data plus results for a standard suite of automated cluster and genotyping analyses important for informing public health and regulatory decision-making.

Halostreptopolyspora alba gen. nov., sp. nov., a halophilic actinobacterium isolated from saline soil of Xinjiang, Northwest of China.

A Gram-stain-positive, aerobic, moderate halophilic actinobacterium, designated strain YIM 96095T, was isolated from a saline soil sample collected from Aiding Lake, Xinjiang, North-western China. Phylogenetic analysis based on 16S rRNA gene sequences revealed that the isolate belonged to the family Nocardiopsidaceae, formed a distinct subclade, and was most closely related to Lipingzhangella halophila DSM 102030T and Allosalinactinospora lopnorensis DSM 45697T with sequence identity values of 95.8 and 95.1%, respectively. Optimal growth occurred at 37 °C, pH 7.0-8.0 and with 5-16% (w/v) NaCl, with well-developed, non-fragmented substrate mycelia and single-, double-, or triple-wrinkled spore(s) on the mature aerial hyphae. The chemical analysis presented meso-diaminopimelic acid as the diagnostic diamino acid of the cell-wall peptidoglycan, and glucose, galactose and rhamnose as the major whole-cell sugars, and iso-C15 : 0 and anteiso-C15 : 0 as the major fatty acids. The phospholipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylcholine, unidentified phospholipids and unidentified glycolipid. The menaquinones were MK-10(H8), MK-10(H6) and MK-9(H10). Its G+C content was 69.7 mol% in the determined genome sequence. Based on phenotypic, chemotaxonomic and phylogenetic characteristics, a novel genus and species named Halostreptopolyspora alba gen. nov., sp. nov. is proposed for isolate YIM 96095T (=KCTC 49266T=CGMCC 4.7636T).

The ROSMAP project: aging and neurodegenerative diseases through omic sciences.

The Religious Order Study and Memory and Aging Project (ROSMAP) is an initiative that integrates two longitudinal cohort studies, which have been collecting clinicopathological and molecular data since the early 1990s. This extensive dataset includes a wide array of omic data, revealing the complex interactions between molecular levels in neurodegenerative diseases (ND) and aging. Neurodegenerative diseases (ND) are frequently associated with morbidity and cognitive decline in older adults. Omics research, in conjunction with clinical variables, is crucial for advancing our understanding of the diagnosis and treatment of neurodegenerative diseases. This summary reviews the extensive omics research-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, and multiomics-conducted through the ROSMAP study. It highlights the significant advancements in understanding the mechanisms underlying neurodegenerative diseases, with a particular focus on Alzheimer's disease.

Impact of Hashimoto's thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis.

This study investigates the impact of Hashimoto's thyroiditis (HT), an autoimmune disorder, on the papillary thyroid cancer (PTC) microenvironment using a dataset of 140,456 cells from 11 patients. By comparing PTC cases with and without HT, we identify HT-specific cell populations (HASCs) and their role in creating a TSH-suppressive environment via mTE3, nTE0, and nTE2 thyroid cells. These cells facilitate intricate immune-stromal communication through the MIF-(CD74+CXCR4) axis, emphasizing immune regulation in the TSH context. In the realm of personalized medicine, our HASC-focused analysis within the TCGA-THCA dataset validates the utility of HASC profiling for guiding tailored therapies. Moreover, we introduce a novel, objective method to determine K-means clustering coefficients in copy number variation inference from bulk RNA-seq data, mitigating the arbitrariness in conventional coefficient selection. Collectively, our research presents a detailed single-cell atlas illustrating HT-PTC interactions, deepening our understanding of HT's modulatory effects on PTC microenvironments. It contributes to our understanding of autoimmunity-carcinogenesis dynamics and charts a course for discovering new therapeutic targets in PTC, advancing cancer genomics and immunotherapy research.

Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways.

Microbial secondary metabolites are a rich source for pharmaceutical discoveries and play crucial ecological functions. While tools exist to identify secondary metabolite clusters in genomes, precise sequence-to-function mapping remains challenging because neither function nor substrate specificity of biosynthesis enzymes can accurately be predicted. Here, we developed a knowledge-guided bioinformatic pipeline to solve these issues. We analyzed 1928 genomes of Pseudomonas bacteria and focused on iron-scavenging pyoverdines as model metabolites. Our pipeline predicted 188 chemically different pyoverdines with nearly 100% structural accuracy and the presence of 94 distinct receptor groups required for the uptake of iron-loaded pyoverdines. Our pipeline unveils an enormous yet overlooked diversity of siderophores (151 new structures) and receptors (91 new groups). Our approach, combining feature sequence with phylogenetic approaches, is extendable to other metabolites and microbial genera, and thus emerges as powerful tool to reconstruct bacterial secondary metabolism pathways based on sequence data.

Comparative genomic analysis of Acanthamoeba from different sources and horizontal transfer events of antimicrobial resistance genes.

Acanthamoeba species are among the most common free-living amoeba and ubiquitous protozoa, mainly distributed in water and soil, and cause Acanthamoeba keratitis (AK) and severe visual impairment in patients. Although several studies have reported genomic characteristics of Acanthamoeba, limited sample sizes and sources have resulted in an incomplete understanding of the genetic diversity of Acanthamoeba from different sources. While endosymbionts exert a significant influence on the phenotypes of Acanthamoeba, including pathogenicity, virulence, and drug resistance, the species diversity and functional characterization remain largely unexplored. Herein, our study sequenced and analyzed the whole genomes of 19 Acanthamoeba pathogenic strains that cause AK, and by integrating publicly available genomes, we sampled 29 Acanthamoeba strains from ocular, environmental, and other sources. Combined pan-genomic and comparative functional analyses revealed genetic differences and evolutionary relationships among the different sources of Acanthamoeba, as well as classification into multiple functional groups, with ocular isolates in particular showing significant differences that may account for differences in pathogenicity. Phylogenetic and rhizome gene mosaic analyses of ocular Acanthamoeba strains suggested that genomic exchanges between Acanthamoeba and endosymbionts, particularly potential antimicrobial resistance genes trafficking including the adeF, amrA, and amrB genes exchange events, potentially contribute to Acanthamoeba drug resistance. In conclusion, this study elucidated the adaptation of Acanthamoeba to different ecological niches and the influence of gene exchange on the evolution of ocular Acanthamoeba genome, guiding the clinical diagnosis and treatment of AK and laying a theoretical groundwork for developing novel therapeutic approaches. IMPORTANCE: Acanthamoeba causes a serious blinding keratopathy, Acanthamoeba keratitis, which is currently under-recognized by clinicians. In this study, we analyzed 48 strains of Acanthamoeba using a whole-genome approach, revealing differences in pathogenicity and function between strains of different origins. Horizontal transfer events of antimicrobial resistance genes can help provide guidance as potential biomarkers for the treatment of specific Acanthamoeba keratitis cases.

Emerging trends in plant natural products biosynthesis: a chemical perspective.

Biosynthetic pathways are multistep processes transforming simple substrates into more complex structures. Over the past two decades, our understanding of these pathways, especially for specialized plant metabolites, has significantly increased. This surge is due to numerous scientific advancements such as next-generation sequencing, improved analytical platforms, and metabolite-transcript networks. The uprising of data sharing through public databases has also fostered collaboration and knowledge dissemination. Growing concerns about the supply of therapeutic natural products and their environmental impact have led to exploring sustainable alternatives like heterologous expression, which requires extensive knowledge of these pathways. Herein, we review emerging approaches in biosynthetic pathway elucidations and their prospects for their efficient integration.

Global distribution and genomic characteristics analysis of avian-derived mcr-1-positive Escherichia coli.

The prevalence of avian-derived Escherichia coli (E. coli) carrying mcr-1 poses a significant threat to the development of the poultry industry and public health safety. Despite ongoing in-depth epidemiological research worldwide, a comprehensive macroscopic study based on genomics is still lacking. In response, this study collected 1104 genomic sequences of avian-derived mcr-1-positive E. coli (MCRPEC) from the NCBI public database, covering 31 countries. The majority of sequences originated from China (48.82 %), followed by the Netherlands (10.41 %). In terms of avian hosts, chicken accounted for the largest proportion (44.11 %), followed by gallus (24.09 %). Avian-derived MCRPEC also serves as a reservoir for other antibiotic resistance genes (ARGs), with 179 ARGs coexisting with mcr-1 identified. A total of 206 virulence-associated genes were also identified, revealing the pathogenic risks of MCRPEC. Pan-genome analysis revealed that avian-derived MCRPEC from different hosts, countries of origin, and serotypes exhibit minor SNP differences, indicating a high risk of cross-regional and cross-host transmission. The ST types of MCRPRC are diverse, with ST10 being the most prevalent (n=70). Spearman analysis showed a significant correlation between the number of ARGs and the insertion sequences (ISs) as well as plasmid replicon in ST10 strains. Furthermore, ST10 strains share a similar genetic basis with human-derived MCRPEC, suggesting the possibility of clonal dissemination. Pan-genome-wide association studies (pan-GWAS) indicated that the differential genes of MCRPEC from different countries and host sources are significantly different, mainly related to genes encoding type IV secretion systems and mobile genetic elements (MGEs). Plasmid mapping of showed that the prevalent plasmid types vary by country and host, with IncI2 and IncX4 being the main mcr-1-positive plasmids. Among the 12 identified mcr-1 genetic contexts with ISs, the Tn6330 transposon was the predominant carrier of mcr-1. In summary, the potential threat of avian-derived MCRPEC cannot be ignored, and long-term and comprehensive monitoring are essential.

Pangenomes of human gut microbiota uncover links between genetic diversity and stress response.

The genetic diversity of the gut microbiota has a central role in host health. Here, we created pangenomes for 728 human gut prokaryotic species, quadrupling the genes of strain-specific genomes. Each of these species has a core set of a thousand genes, differing even between closely related species, and an accessory set of genes unique to the different strains. Functional analysis shows high strain variability associates with sporulation, whereas low variability is linked with antibiotic resistance. We further map the antibiotic resistome across the human gut population and find 237 cases of extreme resistance even to last-resort antibiotics, with a predominance among Enterobacteriaceae. Lastly, the presence of specific genes in the microbiota relates to host age and sex. Our study underscores the genetic complexity of the human gut microbiota, emphasizing its significant implications for host health. The pangenomes and antibiotic resistance map constitute a valuable resource for further research.