Integrating In Silico and In Vitro Approaches for Detecting Coniothyrium glycines in High-Throughput Sequencing (HTS) Datasets Using EDNA-MiFi

Integrating In Silico and In Vitro Approaches for Detecting Coniothyrium glycines in High-Throughput Sequencing (HTS) Datasets Using EDNA-MiFi

Coniothyrium glycines causes red leaf blotch in soybeans and poses significant risk to agriculture and food security. Though it is not present in the United States, molecular data have been made available to support the development of rapid diagnostic tools. Using these genotypic data, this study us...

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Bibliographic Details
Main Authors: Fernanda Proaño-Cuenca, Daniel Carrera-López, Kurt Zeller, Andrés S. Espindola, Kitty Cardwell
Format: Article
Language:English
Published: The American Phytopathological Society 2025-06-01
Series:PhytoFrontiers
Subjects:
Coniothyrium glycines
diagnostics
EDNA
MiFi
select agent
soybean
Online Access:https://apsjournals.apsnet.org/doi/10.1094/PHYTOFR-11-24-0128-FI
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https://apsjournals.apsnet.org/doi/10.1094/PHYTOFR-11-24-0128-FI

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