Changes in Microbial Community Structure in Response to Gummosis in Peach Tree Bark.
YoungJae JoDa-Ryung JungTae-Hyung ParkDokyung LeeMin-Kyu ParkKyeongmo LimJae-Ho ShinPublished in: Plants (Basel, Switzerland) (2022)
Peach gummosis disease has been identified as a serious challenge in Korean agriculture and has developed to become a major cause of agricultural productivity losses. However, treatments for gummosis have not been systemically established and studies of the microbiome closely related to this plant disease are lacking. Therefore, we analyzed the bacterial and fungal communities in the bark and rhizosphere soil of healthy peach trees and those with gummosis. Through high-throughput sequencing, we obtained unprecedented insights into the bacterial and fungal dynamics of each group, including their diversity and taxonomic classification, as well as network analyses. We found that the presence of gummosis drives a significantly higher alpha diversity in the bark bacterial community. Peach gummosis bark mycobiomes included greater numbers of opportunistic pathogens such as Ascochyta , Botryosphaeria , Saccharomyces , Nectriaceae_NA , Trametes , and Valsaceae_NA. However, the microbiome also included bacteria beneficial to plant growth and the production of polysaccharides-namely, 1174-901-12 , Catenibacterium , Cutibacterium , Friedmanniella , Methylobacterium-Methylorubrum , Pseudomonas , Rhodobacter , and Sphingomonas . Furthermore, we confirmed that gummosis induced a more complex structure in the bark microbiome network. We conclude that the findings of this study provide a valuable aid in profiling the overall peach tree microbial ecosystem, which can be utilized to develop precise biomarkers for the early diagnosis of gummosis.
Keyphrases
- microbial community
- plant growth
- climate change
- antibiotic resistance genes
- high throughput sequencing
- risk assessment
- machine learning
- deep learning
- heavy metals
- escherichia coli
- pseudomonas aeruginosa
- oxidative stress
- single cell
- staphylococcus aureus
- diabetic rats
- high glucose
- cell wall
- endothelial cells
- wastewater treatment
- antimicrobial resistance
- network analysis