Background: Several single nucleotide polymorphism (SNP) pipelines exist, each offering its own advantages. Among them and described here is vSNP that has been developed over the past decade and is specifically tailored to meet the needs of diagnostic laboratories. Laboratories that aim to provide rapid whole genome sequencing results during outbreak investigations face unique challenges. vSNP addresses these challenges by enabling users to verify and validate sequence accuracy with ease- having utility across various pathogens, being fully auditable, and presenting results that are easy to interpret and can be comprehended by individuals with diverse backgrounds.
Results: vSNP has proven effective for real-time phylogenetic analysis of disease outbreaks and eradication efforts, including bovine tuberculosis, brucellosis, virulent Newcastle disease, SARS-CoV-2, African swine fever, and highly pathogenic avian influenza. The pipeline produces easy-to-read SNP matrices, sorted for convenience, as well as corresponding phylogenetic trees, making the output easily understandable. Essential data for verifying SNPs is included in the output, and the process has been divided into two steps for ease of use and faster processing times. vSNP requires minimal computational resources to run and can be run in a wide range of environments. Several utilities have been developed to make analysis more accessible for subject matter experts who may not have computational expertise.
Conclusion: The vSNP pipeline integrates seamlessly into a diagnostic workflow and meets the criteria for quality control accreditation programs, such as 17025 by the International Organization for Standardization. Its versatility and robustness make it suitable for use with a diverse range of organisms, providing detailed, reproducible, and transparent results, making it a valuable tool in various applications, including phylogenetic analysis performed in real time.
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http://dx.doi.org/10.1186/s12864-024-10437-5 | DOI Listing |
Theor Appl Genet
January 2025
State Key Laboratory of Crop Stress Resistance and High-Efficiency Production and College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
112 candidate quantitative trait loci (QTLs) and 53 key candidate genes have been identified as associated with stomatal traits in wheat. These include bHLH, MADS-box transcription factors, and mitogen-activated protein kinases (MAPKs). Stomata is a common feature of the leaf surface of plants and serve as vital conduits for the exchange of gases (primarily CO₂ and water vapor) between plants and the external environment.
View Article and Find Full Text PDFPoult Sci
December 2024
Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Hainan, Haikou 571101, PR China. Electronic address:
In order to provide a low-cost, high efficient, and highly accurate tool for molecular breeding of Jiaji ducks, we constructed a cGPS(Genotyping by Pinpoint Sequencing of captured targets) 20 K liquid-phase microarray using resequencing data from this valuable poultry breed for the first time. The microarray contains 20,327 high-quality snp loci, mainly from the 30 Jiaji duck resequencing samples collected in this study, and some loci were supplemented from the 135 duck resequencing data from KUNMING INSTITUTE OF ZOOLOGY.CAS.
View Article and Find Full Text PDFTalanta
February 2025
Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Tr. SNP 1, 040 01, Košice, Slovakia. Electronic address:
Endometrial cancer (EC) is the most prevalent cancer within the female reproductive system in developed countries. Despite its high incidence, there is currently no established laboratory screening test for EC, making early detection challenging. This study introduces an innovative, minimally invasive, and cost-effective method utilizing three-dimensional fluorescence analysis combined with machine learning algorithms to enhance early EC detection.
View Article and Find Full Text PDFJ Agric Food Chem
October 2024
School of Chemical Engineering, Sichuan University, Chengdu, Sichuan 610065, People's Republic of China.
The prevalence of foodborne pathogenic bacteria, especially drug-resistant strains, such as , poses serious threats to public health, highlighting the requirement for the development of rapid and precise detection methods. Herein, a CRISPR/Cas12a-triggered visible-light-driven photoelectrochemical (PEC) assay (CasPEC) was developed using a SiO-quenched BiVO/MoS p/n-type heterojunction as the photoactive material. The CRISPR/Cas12a recognition endowed the CasPEC assay with high specificity capable of resolving single-nucleotide polymorphisms (SNPs) and identifying SNP-involved drug-resistant bacteria.
View Article and Find Full Text PDFInt J Mol Sci
September 2024
Plant Breeding and Acclimatization Institute-National Research Institute, Radzików, 05-870 Błonie, Poland.
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