Literature DB >> 33525397

Microbe Finder (MiFi®): Implementation of an Interactive Pathogen Detection Tool in Metagenomic Sequence Data.

Andres S Espindola1,2, Kitty F Cardwell1,2.   

Abstract

Agricultural high throughput diagnostics need to be fast, accurate and have multiplexing capacity. Metagenomic sequencing is being widely evaluated for plant and animal diagnostics. Bioinformatic analysis of metagenomic sequence data has been a bottleneck for diagnostic analysis due to the size of the data files. Most available tools for analyzing high-throughput sequencing (HTS) data require that the user have computer coding skills and access to high-performance computing. To overcome constraints to most sequencing-based diagnostic pipelines today, we have developed Microbe Finder (MiFi®). MiFi® is a web application for quick detection and identification of known pathogen species/strains in raw, unassembled HTS metagenomic data. HTS-based diagnostic tools developed through MiFi® must pass rigorous validation, which is outlined in this manuscript. MiFi® allows researchers to collaborate in the development and validation of HTS-based diagnostic assays using MiProbe™, a platform used for developing pathogen-specific e-probes. Validated e-probes are made available to diagnosticians through MiDetect™. Here we describe the e-probe development, curation and validation process of MiFi® using grapevine pathogens as a model system. MiFi® can be used with any pathosystem and HTS platform after e-probes have been validated.

Entities:  

Keywords:  Microbe Finder (MiFi); assay validation; diagnostics; metagenomics; nucleic acid; pathogens; sensitivity and specificity; sequencing; taxonomy

Year:  2021        PMID: 33525397      PMCID: PMC7912148          DOI: 10.3390/plants10020250

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  13 in total

1.  Advances in molecular-based diagnostics in meeting crop biosecurity and phytosanitary issues.

Authors:  Norman W Schaad; Reid D Frederick; Joe Shaw; William L Schneider; Robert Hickson; Michael D Petrillo; Douglas G Luster
Journal:  Annu Rev Phytopathol       Date:  2003       Impact factor: 13.078

2.  MetaPhlAn2 for enhanced metagenomic taxonomic profiling.

Authors:  Duy Tin Truong; Eric A Franzosa; Timothy L Tickle; Matthias Scholz; George Weingart; Edoardo Pasolli; Adrian Tett; Curtis Huttenhower; Nicola Segata
Journal:  Nat Methods       Date:  2015-10       Impact factor: 28.547

3.  A new approach for detecting fungal and oomycete plant pathogens in next generation sequencing metagenome data utilising electronic probes.

Authors:  Andres Espindola; William Schneider; Peter R Hoyt; Stephen M Marek; Carla Garzon
Journal:  Int J Data Min Bioinform       Date:  2015       Impact factor: 0.667

4.  E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics.

Authors:  Anthony H Stobbe; Jon Daniels; Andres S Espindola; Ruchi Verma; Ulrich Melcher; Francisco Ochoa-Corona; Carla Garzon; Jacqueline Fletcher; William Schneider
Journal:  J Microbiol Methods       Date:  2013-07-16       Impact factor: 2.363

5.  Minimap2: pairwise alignment for nucleotide sequences.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2018-09-15       Impact factor: 6.937

6.  NanoSim: nanopore sequence read simulator based on statistical characterization.

Authors:  Chen Yang; Justin Chu; René L Warren; Inanç Birol
Journal:  Gigascience       Date:  2017-04-01       Impact factor: 6.524

7.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

8.  Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool.

Authors:  Andres S Espindola; William Schneider; Kitty F Cardwell; Yisel Carrillo; Peter R Hoyt; Stephen M Marek; Hassan A Melouk; Carla D Garzon
Journal:  PLoS One       Date:  2018-10-16       Impact factor: 3.240

9.  Application of HTS for Routine Plant Virus Diagnostics: State of the Art and Challenges.

Authors:  Hans J Maree; Adrian Fox; Maher Al Rwahnih; Neil Boonham; Thierry Candresse
Journal:  Front Plant Sci       Date:  2018-08-27       Impact factor: 5.753

10.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

View more
  1 in total

1.  TASPERT: Target-Specific Reverse Transcript Pools to Improve HTS Plant Virus Diagnostics.

Authors:  Andres S Espindola; Daniela Sempertegui-Bayas; Danny F Bravo-Padilla; Viviana Freire-Zapata; Francisco Ochoa-Corona; Kitty F Cardwell
Journal:  Viruses       Date:  2021-06-24       Impact factor: 5.048

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.