Plant Microbe Interaction—Predicting the Pathogen Internalization Through Stomata Using Computational Neural Network Modeling
Foodborne disease presents a substantial challenge to researchers, as foliar water intake greatly influences pathogen internalization via stomata. Comprehending plant–pathogen interactions, especially under fluctuating humidity and temperature circumstances, is crucial for formulating ways to preven...
Saved in:
| Main Authors: | Linze Li, Shakeel Ahmed, Mukhtar Iderawumi Abdulraheem, Fida Hussain, Hao Zhang, Junfeng Wu, Vijaya Raghavan, Lulu Xu, Geng Kuan, Jiandong Hu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Foods |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-8158/13/23/3848 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Editorial: Phage-based strategies for foodborne pathogen mitigation and detection
by: Aneta Skaradzińska, et al.
Published: (2025-07-01) -
Foodborne Illness Acquired in the United States—Major Pathogens, 2019
by: Elaine J. Scallan Walter, et al.
Published: (2025-04-01) -
Antimicrobial Activity of Diffusible Substances Produced by <i>Lactococcus lactis</i> Against <i>Bacillus cereus</i> in a Non-Contact Co-Culture Model
by: Yuting Han, et al.
Published: (2024-11-01) -
CDC Directed Funding Improves Foodborne Outbreak Reporting in U.S. States, 2009–2022
by: Madhura S. Vachon, et al.
Published: (2025-08-01) -
Identification of virulence markers and toxin expression in Gram-positive bacteria isolated from shellfish and harvest water samples in the South-South region of Nigeria
by: Nsikan Samuel Udoekong, et al.
Published: (2025-06-01)