Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “reference genome”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,657 records · Page 92Linked to original sources
PubMed2000

Multiplex polymerase chain reaction for the evaluation of cytomegalovirus DNA load in organ transplant recipients.

Because of the considerable impact of human cytomegalovirus (HCMV) infection, sensitive, specific, and standardized methods are required for rapid and accurate evaluation of viral load in monitoring transplant recipients. The aim of the present study was to evaluate the usefulness of a multiplex polymerase chain reaction (PCR) for the coamplification of HCMV-DNA and beta-globin genomic sequence in polymorphonuclear leukocytes (PMNL). Analysis and quantification of PCR products were carried out by a DNA enzyme immunoassay (DEIA), which is based on the hybridization of amplified DNA with a single-stranded DNA probe, which coats microtitre wells. Colorimetric detection of the DNA-antibody complex was carried out and optical density (O.D.) was recorded at 450/630 nm. To quantify HCMV/DNA load, a standard curve to which samples O.D. refer was obtained by amplifying serial dilutions of recombinant PGEM-3Z plasmid DNA containing a genomic fragment of glycoprotein B. 340 PMNL specimens from 102 solid organ recipients were tested for the detection of pp65 antigen and HCMV-DNA. The results showed a good correlation between viral load and clinical symptoms of HCMV infection; high specificity and predictive values for HCMV disease were found by PCR, using a cut-off limit of 10(3) genomic copies per 2 x 10(5) PMNL. These findings indicate that the system described is an efficient and reproducible diagnostic method easy to apply for routine diagnosis and therapeutic monitoring of transplanted patients.

Antigens, Viral↗
PubMed2005

Genomic diversity of Astragalus cicer microsymbionts revealed by AFLP fingerprinting.

DNA polymorphism among 36 Astragalus cicer nodule isolates and 9 reference mesorhizobia was evaluated by a simplified PstI based AFLP procedure with three selective primers: Pst-A, Pst-G, and Pst-GC. The DNA profiles were found to be highly specific for nearly each strain, although DNA bands characteristic for most A. cicer microsymbionts were also noted. The overall topologies of dendrograms, generated by AFLP patterns in PCR reaction with three primers, were very similar to one another and to that constructed by phenotyping. Also the strain compositions in the particular clusters on pheno- and genomograms were in good agreement. The obtained results indicate that AFLP technique can be a useful tool for typing of A. cicer rhizobia as well as for studying their diversity.

Astragalus Plant↗
PubMed2025

Comprehensive Transcriptome Annotation of Thousands of HIV-1 Genomes.

Alternative splicing in HIV-1 has been a central focus of decades of research, uncovering key mechanisms of viral gene regulation, immune evasion, and therapeutic response - yet, no reference resource has existed to support transcriptome-wide analysis, limiting adoption of modern computational methods. We present HIV Atlas (https://ccb.jhu.edu/HIV_Atlas), the first reference-quality annotation of HIV-1 and SIV transcriptional diversity. We manually curated transcriptomes for HIV-1HXB2 and SIVmac239 and developed Vira, an automated annotation-transfer method specifically designed to address unique challenges of viral genome biology, to generate high-quality annotations for 2,077 complete HIV-1 genomes. Using the resources presented in our work, we evaluated conservation of splice sites, revealing near-perfect preservation of major donors and acceptors. Furthermore, using several public datasets, we demonstrate how HIV Atlas enhances methodology, improves the quality and novelty of results, and opens novel avenues for research, supporting more accurate and comprehensive analyses of bulk, single-cell, and spatial RNA-seq in HIV-1 studies.

Journal Article↗
PubMed2026

Genome-wide identification and comparative analysis of Leucine-Rich Repeat Containing (LRRC) gene and their expression responses to Vibrio alginolyticus infection in the Manila clam (Ruditapes philippinarum).

Leucine-rich repeat (LRR) domains are important components of many pattern recognition receptors (PRRs). Previous studies have demonstrated that LRR domain-containing immune receptors, such as nucleotide-binding oligomerization domain-like receptors (NLRs) and Toll-like receptors (TLRs), play important roles in innate immunity in aquatic animals. In addition to these well-characterized LRR-containing receptors, also possesses a group of LRR-containing proteins. These proteins were collectively referred to as leucine-rich repeat-containing (LRRC) proteins in this study, and their genomic characteristics, evolutionary relationships, were systematically analyzed. In this study, a genome-wide identification and characterization of LRRC genes were performed in the Manila clam. A total of 97 unclassified LRR genes were identified and designated as RpLRRCs.. Expression profiling indicated that RpLRRCs are predominantly expressed in the labial palps, digestive gland, and gills, increasing from the blastula stage and peaking at the juvenile stage during development, based on the transcriptome results from V. alginolyticus, V. anguillarum and V. parahaemolyticus, some RpLRRCs were involved in the response to different Vibrio stress. The qPCR analysis following V. alginolyticus challenge demonstrated that different RpLRRC members exhibit diverse response patterns to Vibrio infection. These results suggest that RpLRRCs may play critical roles in immune regulation. The RpLRRC gene family exhibits diverse structural characteristics and regulatory mechanisms and likely plays important roles in the growth, development, and immune response of R. philippinarum.

Immune response↗
PubMed2025

mettannotator: a comprehensive and scalable Nextflow annotation pipeline for prokaryotic assemblies.

SUMMARY: In recent years, there has been a surge in prokaryotic genome assemblies, coming from both isolated organisms and environmental samples. These assemblies often include novel species that are poorly represented in reference databases creating a need for a tool that can annotate both well-described and novel taxa, and can run at scale. Here, we present mettannotator-a comprehensive, scalable Nextflow pipeline for prokaryotic genome annotation that identifies coding and noncoding regions, predicts protein functions, including antimicrobial resistance, and delineates gene clusters. The pipeline summarizes these results in a GFF (General Feature Format) file that can be easily utilized in downstream analysis or visualized using common genome browsers. Here, we show how it works on 200 genomes from 29 prokaryotic phyla, including isolate genomes and known and novel metagenome-assembled genomes, and present metrics on its performance in comparison to other tools. AVAILABILITY AND IMPLEMENTATION: The pipeline is written in Nextflow and Python and published under an open source Apache 2.0 licence. Instructions and source code can be accessed at https://github.com/EBI-Metagenomics/mettannotator. The pipeline is also available on WorkflowHub: https://workflowhub.eu/workflows/1069.

Software↗
PubMed1998

Genetic analysis of the diversity and origin of hantaviruses in Peromyscus leucopus mice in North America.

Nucleotide sequences were determined for the complete M genome segments of two distinct hantavirus genetic lineages which were detected in hantavirus antibody- and PCR-positive white-footed mice (Peromyscus leucopus) from Indiana and Oklahoma. Phylogenetic analyses indicated that although divergent from each other, the virus lineages in Indiana and Oklahoma were monophyletic and formed a newly identified unique ancestral branch within the clade of Sin Nombre-like viruses found in Peromyscus mice. Interestingly, P. leucopus-borne New York virus was found to be most closely related to the P. maniculatus-borne viruses, Sin Nombre and Monongahela, and monophyletic with Monongahela virus. In parallel, intraspecific phylogenetic relationships of P. leucopus were also determined, based on the amplification, sequencing, and analysis of the DNA fragment representing the replication control region of the rodent mitochondrial genome. P. leucopus mitochondrial DNA haplotypes were found to form four separate genetic clades, referred to here as Eastern, Central, Northwestern, and Southwestern groups. The distinct Indiana and Oklahoma virus lineages were detected in P. leucopus of the Eastern and Southwestern mitochondrial DNA haplotypes, respectively. Taken together, our current data suggests that both cospeciation of Peromyscus-borne hantaviruses with their specific rodent hosts and biogeographic factors (such as allopatric migrations, geographic separation, and isolation) have played important roles in establishment of the current genetic diversity and geographic distribution of Sin Nombre-like hantaviruses. In particular, the unusual position of New York virus on the virus phylogenetic tree is most consistent with an historically recent host-switching event.

Animals↗
PubMed1998

Genetics on the World Wide Web.

Since 1990, when the Human Genome Project was initiated, the amount of genetic information on the World Wide Web (WWW) has grown substantially. The WWW has become an important resource for current, accurate, and reliable genetic information for health care professionals and the general public. The purpose of this article is to provide a variety of genetics-related WWW sites that are useful for all levels of practitioners interested in genetics. In selecting sites to be included in this article, a number of evaluation tools were reviewed. The primary concern was that these sites be reputable and provide accurate, timely information. A table of the WWW sites is included for quick easy reference.

Computer User Training↗
PubMed2005

Complete genome sequence of the facultative anaerobic magnetotactic bacterium Magnetospirillum sp. strain AMB-1.

Magnetospirillum sp. strain AMB-1 is a Gram-negative alpha-proteobacterium that synthesizes nano-sized magnetites, referred to as magnetosomes, aligned intracellularly in a chain. The potential of this nano-sized material is growing and will be applicable to broad research areas. It has been expected that genome analysis would elucidate the mechanism of magnetosome formation by magnetic bacteria. Here we describe the genome of Magnetospirillum sp. AMB-1 wild type, which consists of a single circular chromosome of 4967148 bp. For identification of genes required for magnetosome formation, transposon mutagenesis and determination of magnetosome membrane proteins were performed. Analysis of a non-magnetic transposon mutant library focused on three unknown genes from 2752 unknown genes and three genes from 205 signal transduction genes. Partial proteome analysis of the magnetosome membrane revealed that the membrane contains numerous oxidation/reduction proteins and a signal response regulator that may function in magnetotaxis. Thus, oxidation/reduction proteins and elaborate multidomain signaling proteins were analyzed. This comprehensive genome analysis will enable resolution of the mechanisms of magnetosome formation and provide a template to determine how magnetic bacteria maintain a species-specific, nano-sized, magnetic single domain and paramagnetic morphology.

Bacterial Proteins↗
PubMed2026

Pedigree-assisted genotype imputation enables cost-effective genomic prediction in Penaeus vannamei.

Genomic selection in Penaeus vannamei has long been constrained by the high cost of dense genotyping. To address this limitation, we evaluated genotype imputation from a low-density 1 K panel to a medium-density 55 K panel of the "Yellow Sea Array No. 1" and examined its impact on genomic prediction for harvest body weight in P. vannamei. A four-generation pedigree including 30 great-grandparents, 39 grandparents, 100 parents, and 608 offspring was genotyped using the 55 K panel. A two-step experimental design was implemented to (i) assess the performance of different imputation algorithms under reference population scenarios with varying proportions of siblings, and (ii) compare six alternative reference population structures incorporating parents, ancestors, and siblings. Genotype imputation using the pedigree-based method FImpute v3.0 consistently achieved higher accuracy than the population-based method Beagle v5.5. Using this pedigree-assisted approach, imputation accuracy increased from 0.73 when only parental genotypes were used to 0.84 with the inclusion of 10% siblings, and subsequently plateaued at 0.87-0.90 when sibling representation reached 20%. Across the six reference population structures, imputation accuracy was primarily driven by the availability of parental genotypes, ranging from 0.50 to 0.56 in the absence of parents to 0.88-0.89 when both parents and ancestral generations were included. Accuracy remained high when both parents were available (0.84-0.87 with siblings; 0.73 without siblings) but declined substantially when only one parent was genotyped (0.65-0.68). Imputation accuracy was positively associated with both minor allele frequency (MAF) and linkage disequilibrium (max r2LD), with LD exerting the stronger influence. Heritability estimates derived from imputed 55 K genotypes were highly consistent with those obtained from the original 55 K data (0.39 ± 0.14 vs. 0.41 ± 0.14), indicating that genotype imputation did not compromise variance component estimation. In predictive ability analyses, pedigree-based BLUP (PBLUP) achieved higher predictive ability than genomic BLUP (GBLUP) based on the 1 K panel, with predictive abilities of 0.42-0.44 for PBLUP compared with 0.34-0.35 for GBLUP. Using imputed genotypes for genomic prediction further improved predictive ability relative to the true 1 K panel, yielding values ranging from 0.35 to 0.47. Notably, when parental genotypes were included in the reference population, GBLUP based on imputed genotypes surpassed the predictive ability of PBLUP and approached that achieved with the original 55 K genotypes (0.45-0.47). Collectively, these results provide the first empirical evidence that low- to medium-density genotype imputation, combined with pedigree information, can effectively support genomic prediction in P. vannamei. This study establishes a cost-efficient and scalable framework for implementing genomic selection in P. vannamei and provides a practical reference for the application of genomic selection in other aquaculture species with constrained breeding budgets.

Animals↗
PubMed2004

Intersubtype BF recombinants of HIV-1 in a population of injecting drug users in Argentina.

The presence of recombinant intersubtypes of HIV-1 in Argentina has been reported since the mid-1990s. In this study, sequences of a region of the gag, pol, and vpu genes of HIV-1 were analyzed in samples of 21 injection drug users (IDUs) residing in the suburbs of the city of Buenos Aires. Genomic characterization and identification of recombination sites were made comparing the 3 regions with reference isolation sequences of subtypes B, F, C, A, and B/F recombinants: CRF12_BF and non-CRF12_BF sequences. Subtype assignment of the analyzed segments was phylogenetically confirmed. All the samples turned out to be BF recombinants in at least 1 of the 3 studied genes. Twelve samples (57%) had the same pattern as the Argentinean CRF12_BF, whereas in the rest, the pattern differed in at least 1 of the 3 genes. The relation of these fragments to the CRF12_BF was phylogenetically verified. These results indicate the predominance of BF recombinants and the presence of a high percentage of sequences closely related to the CRF12_BF in the IDU population in Argentina and suggest a possible association between viral variants and the transmission route.

Argentina↗
PubMed1999

Tobacco mosaic virus and the study of early events in virus infections.

In order to establish infections, viruses must be delivered to the cells of potential hosts and must then engage in activities that enable their genomes to be expressed and replicated. With most viruses, the events that precede the onset of production of progeny virus particles are referred to as the early events and, in the case of positive-strand RNA viruses, they include the initial interaction with and entry of host cells and the release (uncoating) of the genome from the virus particles. Though the early events remain one of the more poorly understood areas of plant virology, the virus with which most of the relevant research has been performed is tobacco mosaic virus (TMV). In spite of this effort, there remains much uncertainty about the form or constituent of the virus that actually enters the initially invaded cell in a plant and about the mechanism(s) that trigger the subsequent uncoating (virion disassembly) reactions. A variety of approaches have been used in attempts to determine the fate of TMV particles that are involved in the establishment of an infection and these are briefly described in this review. In some recent work, it has been proposed that the uncoating process involves the bidirectional release of coat protein subunits from the viral RNA and that these activities may be mediated by cotranslational and coreplicational disassembly mechanisms.

Biological Transport↗
PubMed2003

The potential of Prunus davidiana for introgression into peach [Prunus persica (L.) Batsch] assessed by comparative mapping.

The potential for introgression of Prunus davidiana, a wild species related to peach, was evaluated with respect to problems of non-Mendelian segregation or suppressed recombination which often hamper breeding processes based on interspecific crosses. Three connected (F1, F2 and BC2) populations, derived from a cross between P. davidiana clone P1908 and the peach cultivar Summergrand were used. The intraspecific map of P. davidiana already established using the F1 progeny was complemented, and two interspecific maps, for the F2 and BC2 progenies, were built with a set of markers selected from the Prunus reference map. With the molecular data collected for the F2 map construction, regions with distorted marker segregation were detected on the genome; one third of all loci deviated significantly from the expected Mendelian ratios. However, some of these distorted segregations were probably not due to the interspecific cross. On linkage group 6, a skewed area under gametic selection was most likely influenced by the self-incompatibility gene of P. davidiana. Using anchor loci, a good colinearity between the three maps built and the Prunus reference map was demonstrated. Comparative mapping also revealed that homologous recombination occurred normally between P. davidiana and the Prunus persica genome. This confirmed the closeness of the two species. Higher recombination rates were generally observed between P. davidiana and P. persica than between Prunus amygdalus and P. persica. The consequences for plant breeding strategy are discussed. The three maps of the F1, F2 and BC2 progenies provide useful tools for QTL detection and marker-assisted selection, as well as for assessing the efficiency of the peach breeding scheme applied to introgress P. davidiana genes into peach cultivated varieties.

Breeding↗
PubMed2026

Genomic and epigenomic diversity of breast cancer across Western and MENA populations: implications for precision oncology.

Breast cancer is the most common malignancy in women worldwide and is increasingly recognized as a biologically diverse disease shaped by both molecular and ancestral context. Women from the Middle East and North Africa (MENA) populations, including Saudi Arabia, often present at a younger age and with more aggressive subtypes such as HER2-positive and triple-negative breast cancer (TNBC) compared with Western cohorts. These clinical patterns reflect a distinctive genomic background marked by high consanguinity, founder mutations in key susceptibility genes, and population-specific somatic alterations that are not fully captured in global reference datasets. This review brings together current evidence on somatic, germline, transcriptomic, and epigenomic diversity in breast cancer across Western and MENA populations, with a focus on Saudi cohorts. Drawing on a previously published systematic review of more than 2,500 MENA breast cancer cases, TP53 accounted for approximately 24% and PIK3CA for roughly 10% of curated somatic mutation records pooled across 44 studies (proportions of mutation calls, not per-patient prevalence); in a separate single-center Saudi cohort, only 3.7% of patients underwent BRCA testing, and 37.5% of this clinically selected, testing-referred subgroup carried a pathogenic variant, a figure that should not be read as general-population BRCA prevalence. Variants of uncertain significance exceeded 20% across several regional genomic studies. We summarize conserved driver events, such as recurrent TP53 and PIK3CA mutations, while highlighting regional features, including unique stop-gain and loss-of-function variants, a high copy-number burden, and early-onset disease linked to ancestral architecture. We also discuss emerging data on MENA-specific regulatory signatures, including immune-enriched and basal-myo transcriptomic clusters, CIMP-like methylation patterns, and non-coding RNA networks; these associations are numerically suggestive in available cohorts but have not reached statistical significance in existing studies and warrant validation in larger, dedicated MENA/Saudi cohorts before being considered established determinants of treatment response and resistance. Finally, we examine the clinical implications of this diversity for biomarker development, pharmacogenomics, and access to targeted therapies, and outline practical steps toward ancestry-aware precision oncology in the region.

BRCA↗
PubMed2004

Validation of a rice specific gene, sucrose phosphate synthase, used as the endogenous reference gene for qualitative and real-time quantitative PCR detection of transgenes.

With the development of transgenic crops, many countries have issued regulations to label the genetically modified organisms (GMOs) and their derived products. Polymerase Chain Reaction (PCR) methods are thought to be reliable and useful techniques for qualitative and quantitative detection of GMOs. These methods generally need to amplify the transgene and compare the amplified result with that of the corresponding reference gene to obtain reliable results. In this article, we reported the development of specific primers and probe for the rice (Oryza sativa) sucrose phosphate synthase (SPS) gene and PCR cycling conditions suitable for the use of this sequence as an endogenous reference gene in both qualitative and quantitative PCR assays. Both methods were assayed with 13 different rice varieties, and identical amplification products were obtained with all of them. No amplification products were observed when DNA samples from other species, such as wheat, maize, barley, tobacco, soybean, rapeseed, tomato, sunflower, carrot, pepper, eggplant, lupine, mung bean, plum, and Arabidopsis thaliana, were used as templates, which demonstrated that this system was specific for rice. In addition, the results of the Southern blot analysis confirmed that the SPS gene was a single copy in the tested rice varieties. In qualitative and quantitative PCR analyses, the detection sensitivities were 0.05 and 0.005 ng of rice genomic DNA, respectively. To test the practical use of this SPS gene as an endogenous reference gene, we have also quantified the beta-glucuronidase (GUS) gene in transgenic rice using this reference gene. These results indicated that the SPS gene was species specific, had one copy number, and had a low heterogeneity among the tested cultivars. Therefore, this gene could be used as an endogenous reference gene of rice and the optimized PCR systems could be used for practical qualitative and quantitative detection of transgenic rice.

Blotting, Southern↗
PubMed1983

Genomic organization of the genes coding for the six main histones of the chicken: complete sequence of the H5 gene.

The organization of the genes coding for histones in the chicken has been examined, with special reference to that coding for the tissue-specific, developmentally regulated histone H5. Two recombinant phages containing sequences complementary to cloned H5 cDNA have been isolated from a genomic chicken library. The clones have been characterized by heteroduplex formation, restriction nuclease analysis, hybridization to cloned homologous histone gene probes, and DNA sequencing. Hybridization to genomic DNA has shown that there is only one copy of the H5 gene per haploid genome, whereas there are six to 11 copies of the genes for the other histones. Examination of 29 X 10(3) base-pairs of DNA sequences flanking the H5 gene has revealed the absence of any other histone genes which, although not tandemly reiterated, for the most part appear to reside in loosely organized clusters. The complete DNA sequence of the H5 gene and flanking regions, as well as the mapping of the 5'-end of its messenger RNA by primer extension with AMV reverse transcriptase, has shown that the gene has no introns and little homology to other histone genes, including those for H1.

Animals↗
PubMed2026

Genome- and peak-informed two-stage framework for scATAC-seq cell type identification.

MOTIVATION: Accurate cell type annotation is essential in scATAC-seq analysis, as it underpins the characterization of cellular heterogeneity, the identification of regulatory elements, and downstream biological discovery. However, current annotation methods still face major challenges. First, although some approaches attempt to integrate genomic sequence information, they typically rely on shallow sequence representations and thus fail to capture the long-range dependencies and regulatory signals encoded in DNA. Second, substantial batch effects introduced by different platforms, sequencing batches, or tissue sources remain insufficiently addressed. Existing models often lack robust distribution alignment and domain generalization capabilities, leading to confounding non-biological variation and reduced annotation accuracy across datasets. RESULTS: To overcome these limitations, we propose seqAlignATAC, a two-stage intra-modality annotation framework that integrates sequence-derived embeddings with domain adaptation. In the first stage, we employ a large-scale pretrained nucleotide language model to extract low-dimensional, biologically informative representations from the genomic sequences of chromatin-accessible peaks. In the second stage, these embeddings are fed into a supervised neural network equipped with an adaptive alignment module to mitigate batch effects and harmonize feature distributions between labeled reference and unlabeled target datasets. Extensive experiments across multiple settings demonstrate that seqAlignATAC achieves competitive accuracy and robustness, effectively leveraging genome-level information while alleviating batch-induced distributional discrepancies. AVAILABILITY AND IMPLEMENTATION: The source code of seqAlignATAC is available at: https://github.com/BioCS-Lab/seqAlignATAC.

Humans↗
PubMed2001

The COG database: new developments in phylogenetic classification of proteins from complete genomes.

The database of Clusters of Orthologous Groups of proteins (COGs), which represents an attempt on a phylogenetic classification of the proteins encoded in complete genomes, currently consists of 2791 COGs including 45 350 proteins from 30 genomes of bacteria, archaea and the yeast Saccharomyces cerevisiae (http://www.ncbi.nlm.nih. gov/COG). In addition, a supplement to the COGs is available, in which proteins encoded in the genomes of two multicellular eukaryotes, the nematode Caenorhabditis elegans and the fruit fly Drosophila melanogaster, and shared with bacteria and/or archaea were included. The new features added to the COG database include information pages with structural and functional details on each COG and literature references, improvements of the COGNITOR program that is used to fit new proteins into the COGs, and classification of genomes and COGs constructed by using principal component analysis.

Animals↗