4.2 Article

STRUCTURE AND FUNCTION OF THE FRUIT MICROBIOME IN HEALTHY AND DISEASED KIWIFRUIT

期刊

PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES
卷 56, 期 3, 页码 577-585

出版社

UNIV AGRICULTURE, FAC VETERINARY SCIENCE
DOI: 10.21162/PAKJAS/19.8820

关键词

Kiwifruit; postharvest pathogen; fruit microbiome; shotgun metagenomic sequencing; microbial communities; functional potential

资金

  1. Guizhou Science and Technology Fund Project [[2016]1006]
  2. Natural Science Foundation of the Department of Education of Guizhou Province [qianjiao he KY word [2016]091]
  3. Guiyang Science and Technology Bureau and Guiyang University Special Project [GYU-KYZ[2018]01-05]
  4. China Postdoctoral Science Foundation [2017M623070]

向作者/读者索取更多资源

The fruit surface is an infection court where foodborne pathogens compete with indigenous microbiota for microsites to invade the fruits for nutrients acquisition. However, our current understanding of the structure and functions of fruit microbiome visa-vis postharvest pathogen infection is still nascent. Here, we sequenced the metagenomic DNA to understand the structural and functional attributes of healthy and diseased kiwifruit microbiome. The healthy fruits exhibited higher microbial diversity and distinct microbiome composition compared with diseased fruits. The microbiome of diseased fruit was dominated by fungal pathogens Neofusicoccum parvum and Diplodiaseriata, while the microbiome of healthy fruits were enriched by bacteria from Methylobacteriaceae, Sphingomonadaceae, Nocardioidaceae and fungi in Pleosporaceae. Importantly, the healthy fruit microbiome had a higher relative abundance of genes related to ABC transporter, two-component system, bacterial chemotaxis, bacterial secretion system, but had a lower relative abundance of genes associated with polycyclic aromatic hydrocarbon degradation, amino sugar and nucleotide sugar metabolism, glycine, serine and threonine metabolism compared with diseased fruits. Our results indicate that pathogen infection disrupts the fruit microbiome. The changes in microbiome composition and functions could also increase the possibility of secondary pathogen infection as the reduced microbial diversity may demonstrate less resistance to pathogens infection. Therefore, monitoring the microbiome dynamics and their functions using metagenomic approaches could be useful to build a predictive understanding of accurate postharvest disease diagnosis and management in the future.

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