AI Article Synopsis
- Plants in open environments often experience coinfection by multiple strains of the same pathogen, but the effects and mechanisms of this phenomenon are not well understood.
- The study used experimental systems with fluorescent labeling to directly observe the behaviors of two different pathogen strains during coinfection, while also conducting multiomics analyses to uncover underlying mechanisms at genomic, transcriptomic, and metabolomic levels.
- Findings indicated that coinfection can alter disease severity, benefit weaker strains, and that variations in amino acids may negatively affect strain interactions; additionally, overexpressing a specific glutamine-related gene enhanced competitiveness among the strains.
Article Abstract
Plants growing in open environments are frequently coinfected by multiple strains of the same pathogen. However, few investigations have been carried out to reveal the outcomes and underlying mechanisms of such infections. This study aimed to observe the behaviors of two different strains under coinfection and cocultivation. We constructed an experimental system to study such interactions directly by labeling strains with the green fluorescent proteins and mushroom cherry fluorescent protein to observe mixed strain behavior and . Moreover, multiomics analyses were conducted to explore the underlying mechanisms at the genomic, transcriptomic, and metabolomic levels. Our results revealed that coinfection with two strains can affect disease severity and that the more weakly virulent strain benefits from the coinfection system. We also found that amino acid variation might negatively influence such interactions at transcriptomic and metabolomic levels. In addition, we showed that the overexpression of a glutamine-related gene improved strain competitiveness during mixture cultivation. Collectively, our results provided experimental methods to analyze the interaction between two strains of and preliminarily explored the interacted mechanism of two strains under cocultivation through multiomics analyses.
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| http://dx.doi.org/10.1021/acs.jafc.3c01531 | DOI Listing |
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