Analysis of rice root bacterial microbiota of Nipponbare and IR24

Yi Chuan. 2020 May 20;42(5):506-518. doi: 10.16288/j.yczz.20-070.

Abstract

The root-associated bacterial microbiota is closely related to life activities of land plants, and its composition is affected by geographic locations and plant genotypes. However, the influence of plant genotypes on root microbiota in rice grown in northern China remains to be explained. In this study, we performed 16S rRNA gene amplicon sequencing to generate bacterial community profiles of two representative rice cultivars, Nipponbare and IR24. They are planted in Changping and Shangzhuang farms in Beijing and have reached the reproductive stage. We compared their root microbiota in details by Random Forest machine learning algorithm and network analysis. We found that the diversity of rice root microbiota was significantly affected by geographic locations and rice genotypes. Nipponbare and IR24 showed distinct taxonomic composition of the root microbiota and the interactions between different bacteria. Moreover, the root bacteria could be used as biomarkers to distinguish Nipponbare from IR24 across regions. Our study provides a theoretical basis for the in-depth understanding of rice root microbiota in Northern China and the improvement of rice breeding from the perspective of the interaction between root microorganisms and plants.

植物的各项生命活动与其根系微生物组密不可分,且根系微生物组的组成易受到植物生长环境和基因型的影响。为进一步探究中国北方地区种植的不同品种水稻根系微生物组的差异及其相互作用机制,本研究以种植于北京昌平和上庄农场的水稻典型品种日本晴(Nipponbare)和IR24为研究对象,基于16S rRNA基因扩增子测序技术获得根系微生物组序列,利用多样性分析、组成型分析、机器学习的随机森林和网络分析等方法,对旺盛生长期的两种不同品种的水稻根系微生物组进行详细比较。研究发现,种植地点和水稻基因型显著影响了水稻根系微生物组的群落结构,不同基因型导致了根系微生物组在物种分类组成上以及细菌间相互关系的差异,而且根系微生物组能作为生物标记跨地点区分宿主的基因型。本研究结果为深入理解我国北方种植的水稻根系微生物组的组成规律以及从根系微生物与植物互作的角度对品种进行改良提供了数据和理论基础。.

Keywords: diversity analysis; machine learning; network analysis; rice root microbiota; taxonomic composition.

MeSH terms

  • Bacteria / classification*
  • China
  • Microbiota*
  • Oryza / microbiology*
  • Plant Roots / microbiology*
  • RNA, Ribosomal, 16S

Substances

  • RNA, Ribosomal, 16S