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PubMed2004

Selection of HPRT primers as controls for determination of mRNA expression in dogs by RT-PCR.

Reliable housekeeping gene controls are critical for measuring and comparing gene expression at the transcription level by Northern blot and RT-PCR. In order to develop such controls for studying cytokine mRNA expression in dogs, DNA sequence encoding a full-length canine HPRT protein has been obtained. Numerous primer pairs derived from the canine HPRT sequence have been tested on canine genomic DNA as well as cDNA. The data from the present study suggest that there may be processed HPRT pseudogenes in dogs. Three pairs of canine HPRT primers designed and tested in the present study were able to differentiate between cDNA and genomic DNA under specific PCR conditions. These primers would be useful controls for measurement of mRNA expression by RT-PCR in the dog.

Amino Acid Sequence↗

PubMed2026

Emergence of Fusarium oxysporum f. sp. fragariae in the Eastern United States.

Historically, Fusarium oxysporum f. sp. fragariae (Fof), the causal agent of Fusarium wilt in strawberry, has been a major problem for strawberry production in California but has been largely absent in the rest of the United States. During the growing seasons of 2023 to 2025, independent detections of Fof were made on strawberry plants exhibiting symptoms of Fusarium wilt in the eastern U.S. states of Florida, North Carolina, New York, Connecticut, and Virginia. Sixteen isolates were obtained from symptomatic plants across this region, and a subset (n = 14) were confirmed to be Fof by pathogenicity testing, morphological characterization, PCR diagnostics, and whole-genome sequencing. Specifically, these tests demonstrated that all tested isolates were virulent on susceptible (fw1) strawberry cultivars but not on resistant (FW1) cultivars, classifying them as race 1. Although all isolates tested positive with the more recently developed Fof-specific PCR assay by Burkhardt et al. (2019), many (43.75%) failed detection with the commonly used Suga et al. (2013) assay. Comparative genomics revealed that these isolates represent at least three distinct phylogenetic clades (Y1, Y2, and the putative Y10), suggesting multiple independent introductions rather than a single dissemination event. The genetic diversity of the eastern U.S. Fof populations and their likely origin from nursery stock highlight the need for more robust diagnostics, certified clean planting stock, and region-specific resistance trials to manage Fusarium wilt beyond California.

Fusarium↗

PubMed1993

Numerical classification and identification of Acinetobacter genomic species.

A total of 211 Acinetobacter strains (representing all currently recognized genomic species) were tested for 329 biochemical characters. Overall similarities of all strains were determined for 145 characters by numerical taxonomic techniques, the UPGMA algorithm and the S(SM)) and the S(J) coefficients as measures of similarity. Seven clusters (two or more strains) and three unclustered strains were recovered at a similarity level of 80.0% (S(SM). At this level a complete correspondence between phenotypic cluster and genomic species was found only for genomic species 12 (Ac. radioresistens). At higher similarity levels (84.0% to 84.6% (S(SM)), however, several subclusters were found, each representing a single genomic species. An exception were the strains belonging to the genetically closely related species of the Acinetobacter calcoaceticus-baumannii complex. These were recovered scattered in several subclusters. The degree of genomic relatedness between some DNA groups correlated with phenotypic similarities, especially for DNA group 8 (Ac. Iwoffii) and 15 of Tjernberg and Ursing, and for DNA group 4 (Ac. haemolyticus) and 6. For the majority of genomic species, two identification matrices were constructed consisting of 22 and 10 diagnostic characters, respectively. The correct identification rates for the matrices were 98.0% (22 tests) and 90.8% (10 tests) taking a Willcox probability > 0.9. For unambiguous identification of some genomic species, however, additional methods (preferably DNA-DNA hybridization or ribotyping) should be used.

Acinetobacter↗

PubMed1999

A low density genome-wide search for loci involved in alcohol dependence using the transmission/disequilibrium test, sib-TDT, and two combined tests.

The transmission/disequilibrium test (TDT), sib-TDT and two combined tests have been implemented in an attempt to identify loci across the genome that may be involved in alcohol dependence. Since these tests are based on the existence of association between marker and disease loci, the low-density map used (13 cM) will have missed any disease loci situated between markers. Nevertheless, genome-wide suggestive linkage results were found at three markers--D6S474, D8S1715, and D12S372--two of which also gave nominally significant evidence by two-point linkage analysis. These are regions that deserve further investigation with respect to their involvement in alcohol dependence, and in order to evaluate the relative efficacy of the different methods used.

Alcoholism↗

PubMed2005

Real-time NASBA detection of SARS-associated coronavirus and comparison with real-time reverse transcription-PCR.

Severe acute respiratory syndrome (SARS) exhibits a high mortality rate and the potential for rapid epidemic spread. Additionally, it has a poorly defined clinical presentation, and no known treatment or prevention methods. Collectively, these factors underscore the need for early diagnosis. Molecular tests have been developed to detect SARS coronavirus (SARS-CoV) RNA using real time reverse transcription polymerase chain reaction (RT-PCR) with varying levels of sensitivity. However, RNA amplification methods have been demonstrated to be more sensitive for the detection of some RNA viruses. We therefore developed a real-time nucleic acid sequence-based amplification (NASBA) test for SARS-CoV. A number of primer/beacon sets were designed to target different regions of the SARS-CoV genome, and were tested for sensitivity and specificity. The performance of the assays was compared with RT-PCR assays. A multi-target real-time NASBA application was developed for detection of SARS-CoV polymerase (Pol) and nucleocapsid (N) genes. The N targets were found to be consistently more sensitive than the Pol targets, and the real-time NASBA assay demonstrates equivalent sensitivity when compared to testing by real-time RT-PCR. A multi-target real-time NASBA assay has been successfully developed for the sensitive detection of SARS-CoV.

Humans↗

PubMed2006

Identification of functional, endogenous programmed -1 ribosomal frameshift signals in the genome of Saccharomyces cerevisiae.

In viruses, programmed -1 ribosomal frameshifting (-1 PRF) signals direct the translation of alternative proteins from a single mRNA. Given that many basic regulatory mechanisms were first discovered in viral systems, the current study endeavored to: (i) identify -1 PRF signals in genomic databases, (ii) apply the protocol to the yeast genome and (iii) test selected candidates at the bench. Computational analyses revealed the presence of 10 340 consensus -1 PRF signals in the yeast genome. Of the 6353 yeast ORFs, 1275 contain at least one strong and statistically significant -1 PRF signal. Eight out of nine selected sequences promoted efficient levels of PRF in vivo. These findings provide a robust platform for high throughput computational and laboratory studies and demonstrate that functional -1 PRF signals are widespread in the genome of Saccharomyces cerevisiae. The data generated by this study have been deposited into a publicly available database called the PRFdb. The presence of stable mRNA pseudoknot structures in these -1 PRF signals, and the observation that the predicted outcomes of nearly all of these genomic frameshift signals would direct ribosomes to premature termination codons, suggest two possible mRNA destabilization pathways through which -1 PRF signals could post-transcriptionally regulate mRNA abundance.

Base Sequence↗

PubMed2026

Bacteriophages Control Epiphytic Pseudomonas syringae Populations in Highbush Blueberry Leaves.

The Pseudomonas syringae complex (Psc) is a group of globally distributed phytopathogens responsible for substantial agricultural losses. Although bacteriophage-based biocontrol has shown promise against Psc, no studies have examined phages targeting blueberry-tropic Psc lineages. Here, we isolated phages infecting Psc strains from diseased highbush blueberry (Vaccinium corymbosum), and evaluated their suitability for biocontrol using a multi-stage screening pipeline incorporating host-range analysis, comparative genomics, environmental stability testing, in vitro antibacterial efficacy assays and ex planta validation. Twelve of the isolated phages exhibited favourable host-range characteristics. Genomic analyses revealed substantial phylogenetic diversity among these candidates but simultaneously identified multiple clonal groups, reducing the collection to eight non-redundant phages spanning five distinct genera. Candidate phages generally retained infectivity under environmentally relevant conditions and exhibited heterogeneous but largely favourable stability profiles. Planktonic killing assays uncovered considerable variation in antibacterial efficacy, but phage performance appeared to be driven by infection compatibility and host-specific factors rather than properties intrinsic to individual phages. Notably, the jumbo phageCB10 emerged as a particularly promising candidate due to its strong antibacterial activity (median GRC = 0.943), favourable environmental stability and unique genomic features. Cocktails containing the most effective candidates produced substantial and longitudinally sustained reductions in epiphytic colonization of detached blueberry leaves by Psc, exceeding five orders of magnitude at peak efficacy and demonstrating robust activity in a biologically relevant ex planta system. Importantly, in vitro antibacterial efficacy was predictive of performance in our ex planta model (r = 0.67; p = 0.0003), supporting the utility of tiered screening approaches for candidate selection. Taken together, these findings establish a framework for the systematic identification and evaluation of phages targeting Psc, and support the development of phage-based interventions for managing plant diseases.

Pseudomonas syringae↗

PubMed1997

Inferring gene structures in genomic sequences using pattern recognition and expressed sequence tags.

Computational methods for gene identification in genomic sequences typically have two phases: coding region prediction and gene parsing. While there are many effective methods for predicting coding regions (exons), parsing the predicted exons into proper gene structures, to a large extent, remains an unsolved problem. This paper presents an algorithm for inferring gene structures from predicted exon candidates, based on Expressed Sequence Tags (ESTs) and biological intuition/rules. The algorithm first finds all the related ESTs in the EST database (dbEST) for each predicted exon, and infers the boundaries of one or a series of genes based on the available EST information and biological rules. Then it constructs gene models within each pair of gene boundaries, that are most consistent with the EST information. By exploiting EST information and biological rules, the algorithm can (1) model complicated multiple gene structures, including embedded genes, (2) identify falsely-predicted exons and locate missed exons, and (3) make more accurate exon boundary predictions. The algorithm has been implemented and tested on long genomic sequences with a number of genes. Test results show that very accurate (predicted) gene models can be expected when related ESTs exist for the predicted exons.

Algorithms↗

PubMed2001

The combination of SKY and specific loci detection with FISH or immunostaining.

Spectral karyotyping (SKY) represents an effective tool to detect individual chromosomes and analyze major karyotype abnormalities within an entire genome. We have tested the feasibility of combining SKY and FISH/protein detection in order to combine SKY's unique abilities with specific loci detection. Our experimental results demonstrate that various combined protocols involving SKY, FISH and immunostaining work well when proper procedures are used. This combined approach allows the tracking of key genes or targeted chromosome regions while monitoring changes throughout the whole genome. It is particularly useful when simultaneously monitoring the behavior of both protein complexes and DNA loci within the genome. The details of this methodology are described and systematically tested in this communication.

Animals↗

PubMed2004

Exhaustive allelic transmission disequilibrium tests as a new approach to genome-wide association studies.

Genome-wide disease-association mapping has been heralded as the study design of the next generation, but the lack of analytical methods to use genotype data fully is a large stumbling block. Here we describe an algorithm and statistical method that efficiently and exhaustively exploits haplotype information by subjecting alleles (a marker or contiguous sets of markers) from sliding windows of all sizes to transmission disequilibrium tests. By applying our method to simulated data and to Hirschsprung disease, we show that it can detect both common and rare disease variants of small effect. These results show that the theoretical benefits of genome-wide association studies are at last realizable.

Algorithms↗

PubMed1996

Affected-sib-pair interval mapping and exclusion for complex genetic traits: sampling considerations.

We describe an extension of Risch's [(1990a,b) Am J Hum Genet 46:222-228, 229-241] method of linkage detection and exclusion for complex genetic traits. The method uses interval mapping to infer disease locus identity-by-descent (IBD) sharing for affected sib pairs (ASPs) based on marker information for the ASP and other genotyped family members. The method is likelihood based, and makes use of Risch's parameterization in terms of recurrence risk ratios for relatives. We describe specific linkage detection and exclusion tests for use as genome screening tools to prioritize genomic regions for further study. We also examine issues of optimal study design. We advocate initially typing a large panel of ASPs (and no additional family members) with a map of genetic markers evenly spaced at 10-20-cM intervals. We recommend a screening procedure that 1) investigates further all regions with maximum lod scores greater than 1 and 2) excludes from consideration those regions that result in lod scores less than -2 at the smallest genetic effect that is viewed as important to detect. Further investigation of an interval might include typing other available families or family members, typing additional markers in the interval, and carrying out further statistical analyses. This strategy is efficient in the number of genotypings required and focuses attention on regions most likely to harbor a disease gene with a substantial impact on disease risk, while resulting in the pursuit of a manageable number of false-positive linkage results. Modification may be required if insufficient ASPs are available or if families come from a significantly admixed population.

Chromosome Mapping↗

PubMed1991

A test case for physical mapping of human genome by repetitive sequence fingerprints: construction of a physical map of a 420 kb YAC subcloned into cosmids.

A rapid and safe method of Yeast Artificial Chromosome (YAC) physical mapping by cosmid 'fingerprinting' is presented. YACs are subcloned into cosmids which are prepared without previous separation of cloned DNA from host DNA. Groups of overlapping clones are detected according to their restriction fragments size and intensity after hybridization with total human DNA. To test this approach, a cosmid library was constructed from total DNA of a yeast strain containing a 420 kb YAC. A single contig of 84 clones was obtained with a minimal detectable overlap of 60% i.e. a 9.2 fold representative library. Large scale physical mapping of YACs would take full advantage of the DNA preparation procedure employed in this work and allows to take into account restriction fragment intensities.

Blotting, Southern↗

PubMed2026

Oncotype DX-guided vs physician-directed chemotherapy and survival in HR+/HER2- breast cancer.

BACKGROUND: Oncotype DX testing guides adjuvant chemotherapy decisions in early-stage hormone receptor-positive/HER2-negative breast cancer, but testing is not universally performed, and outcomes associated with genomic-informed versus clinicopathologic-based chemotherapy decision pathways remain unclear. METHODS: Using the 2022 National Cancer Database Breast Participant User File, we identified women diagnosed from 2010 to 2022 with pathologic T1b-T2, node-negative, hormone receptor-positive/HER2-negative invasive breast cancer who received adjuvant chemotherapy and endocrine therapy. Patients were classified into an Oncotype-guided group, defined by Oncotype DX testing with a recurrence score of 26 or higher, and a physician-directed group, defined by receipt of chemotherapy without genomic testing. The primary outcome was overall survival. Analyses used multivariable Cox models, logistic-IPTW and MLP-IPTW, restricted mean survival time analysis, and a Bayesian latent confounding survival model. RESULTS: Among 56,625 women, 27,278 were in the Oncotype-guided group and 29,347 in the physician-directed group. Median ages were 59 and 56 years, respectively. The Oncotype-guided group had more favorable overall survival than the physician-directed group in multivariable Cox analysis (HR, 0.906; 95% CI, 0.856-0.959; P < 0.001), with similar findings in IPTW analyses. The association was concentrated among patients aged 56 years or older (HR, 0.866; 95% CI, 0.809-0.927; P < 0.001). The Bayesian model showed no strong residual confounding signal. CONCLUSIONS: Among chemotherapy-treated women, an Oncotype-guided pathway was associated with more favorable overall survival than a physician-directed pathway, particularly among older patients, which indicating prognostic heterogeneity selected using genomic versus conventional clinicopathologic information.

Humans↗

PubMed2026

LAMBDA: a prophage detection benchmark for genomic language models.

Transformer-based genomic sequence models represent an emerging frontier in computational biology. Yet, their embeddings have not yet shown the same level of predictive power as natural and protein language models, highlighting a gap between current implementations and theoretical promise. Existing benchmarks for DNA language models primarily focus on classifying regulatory elements in eukaryotic genomes, leaving open the fundamental question of whether these models learn sequence-level features across whole genomes. We introduce LAMBDA, a benchmark designed to rigorously evaluate genome language model embeddings through phage-bacteria sequence discrimination across four categories of increasing complexity: probing tasks, fine-tuning assessments, diagnostic tests, and genome-wide prophage detection. Our comprehensive analysis of current genomic language models provides insight into the importance of training data selection relative to model size, the need for domain-specific training, and the capabilities and limitations of genomic language models for detecting prophage sequences. This benchmark represents a challenging genomic annotation task in the bacterial domain and addresses a key computational problem with direct relevance to microbiology and medicine.

Prophages↗

PubMed2026

LAMBDA: A Prophage Detection Benchmark for Genomic Language Models.

Transformer-based genomic sequence models represent an emerging frontier in computational biology. Yet, their embeddings have not yet shown the same level of predictive power as natural and protein language models, indicating a gap between current implementations and theoretical promise. Existing benchmarks for DNA language models primarily focus on classifying regulatory elements in eukaryotic genomes, leaving open the fundamental question of whether these models learn sequence-level features across whole genomes. We introduce LAMBDA, a benchmark designed to rigorously evaluate genome language model embeddings through phage-bacteria sequence discrimination across four categories of increasing complexity: probing tasks, fine-tuning assessments, diagnostic tests, and genome-wide prophage detection. Our comprehensive analysis of current genomic language models provides novel insights into the importance of training data quality relative to model size, the need for domain-specific training, and the application of genomic language models for detecting prophage sequences. This benchmark represents a challenging genomic annotation task in the bacterial domain and addresses a key computational problem with direct relevance to microbiology and medicine.

DNA language model↗

PubMed2007

A method for the identification of guinea pig blood meal in the Chagas disease vector, Triatoma infestans.

BACKGROUND: In a SINE-based PCR assay, a primer set specific for guinea pig genome short interspersed elements DNA was used to test the utility of genomic markers for identifying the source of vertebrate blood meals of Triatoma infestans. METHODS: The investigation consisted of two assays. In Assay 1, thirty-six insects, collected from the Province of Zudáñez in Chuquisaca, Bolivia were frozen 1-40 hours after feeding, under controlled conditions, on guinea pigs. The species of the vertebrate host was confirmed from dissection of the posterior part of the abdomen of each insect followed by DNA extraction and PCR amplification. Assay 2 investigated whether the technique worked under field conditions. We analyzed the bloodmeal of 34 insects collected from households and peri-domestic structures from communities where wild and captive guinea pigs occur. After collection, the insects were maintained at room temperature for 2 months without feeding and then analyzed. RESULTS: In Assay 1, each of the 36 insects allowed to feed on guinea pig blood tested positive for guinea pig DNA. The guinea pig DNA was reliably identified in as little as 1 hour and up to 40 hours after feeding. For Assay 2, 8 out of the 34 samples (23%) showed positive results with guinea pig specific primers. CONCLUSION: The results in assay 1 demonstrated that DNA from the vertebrate host can be amplified 1-40 hours post feeding from the abdomen of the blood-feeding Chagas disease vector Triatoma infestans. The results in assay 2 confirmed that the procedure works on insects collected from households and peri-domestic structures and that the source of a blood meal can be determined at least 2 months post feeding.

Journal Article↗

PubMedDate not supplied

Evaluation of the research methodology in genetic, molecular and proteomic tests.

INTRODUCTION: The advances in genomic analysis technologies have conducted to the development of new diagnostic tests in the clinical practice. As well as it happened in other diagnostic fields, the knowledge of the main flaws affecting genetic investigation will facilitate the application of the results. METHODS: We included 44 original articles that evaluate diagnostic exactitude of genetic and molecular tests (including proteomic), published from 2002 to June 2005 in five international publications: JAMA, Lancet, New England Journal of Medicine, Cancer Research and Clinical Cancer Research. We examined adherence to 24 methodological criteria included in the guide STARD (Standards for Reporting of Diagnostic Accuracy. RESULTS: The mean number of methodological criteria satisfied was 9.8 (95% CI 8.8-10.6); the greater deficiencies were in aspects related to the description of patient's selection 9 (20%), the treatment of indeterminate results 5 (11%) and the determination of test reproducibility 6 (13%). It was observed a high fulfillment in the description of the gold standard 39 (87%) and in the methodology of the test 28 (62%). DISCUSSION: The methodologic quality of the evaluated articles is lower than the quality observed in other research fields. The methodologic aspects that most need improvement are those linked to the clinical information of the populations studied and the reproducibility of the tests. The research and development of new genetic-molecular technologies requires a better fulfillment of the epidemiological and clinical criteria already followed by other diagnostic fields.

Genetic Testing↗

PubMed2001

[Molecular diagnosis of Prader-Willi and Angelman syndromes: methylation, cytogenetics and FISH analysis].

BACKGROUND: The diagnosis of Prader-Willi and Angelman syndromes is difficult, since their phenotypic manifestations are variable and unspecific. The study of the methylation state of DNA in 15(q11-q13) using polymerase chain reaction, called methylation test, allows the diagnosis of most patients with Prader-Willi and Angelman syndromes, irrespective if the underlying molecular alteration is a deletion, uniparental disomy or a punctual imprinting mutation. AIM: To assess the effectiveness of methylation test in the diagnosis of Prader-Willi and Angelman syndromes. PATIENTS AND METHODS: Thirty seven cases with a presumptive diagnosis of Prader-Willi syndrome and 25 with the presumptive diagnosis of Angelman syndrome were studied. Methylation test was done in genomic DNA obtained from peripheral lymphocytes. RESULTS: Methylation test confirmed the clinical diagnosis in 11 of 37 patients with Prader Willi (30%) and 6 of 25 patients with Angelman syndrome (24%). CONCLUSIONS: Clinical criteria overestimate the diagnosis of Prader-Willi and Angelman syndromes. The initial diagnosis should be confirmed with the methylation test and, if necessary, with FISH that will detect most deletions in the region.

Adolescent↗