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Acta Prataculturae Sinica ›› 2023, Vol. 32 ›› Issue (7): 96-108.DOI: 10.11686/cyxb2022427

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Seed-borne bacterial diversity of oat and functional analysis based on Illumina MiSeq high-throughput sequencing

Zhen-fen ZHANG1,2(), Rong HUANG1,2, Xiang-yang LI1,2, Bo YAO1,2, Gui-qin ZHAO1,2   

  1. 1.College of Pratacultural Science,Gansu Agricultural University,Lanzhou 730070,China
    2.Key Laboratory of Grassland Ecosystem,Ministry of Education,Engineering Laboratory of Gansu Province,Sino-U. S. Center for Grassland Ecosystem Sustainability,Lanzhou 730070,China
  • Received:2022-10-27 Revised:2022-11-26 Online:2023-07-20 Published:2023-05-26
  • Contact: Zhen-fen ZHANG

Abstract:

In this study, the high-throughput sequencing analysis method was used to analyze the difference in bacterial abundance, alpha diversity, beta diversity and species composition of bacterial communities in seven oat varieties from different regions. The PICRUSt and FAPROTAX functional prediction methods were used to analyze the differences in abundance among the seed-borne bacteria in various bands. The results showed: 1) A total of 5187 bacterial OTUs were obtained from the seven oat varieties, mainly belonging to 33 phyla, 180 orders and 435 genera. 2) Based on the abundance and annotation information of the OTUs, we found that Proteobacteria, Chloroflexbacteria, Cyanobacteria and Actinobacteria were the dominant phyla in the bacterial communities of the seven oat varieties. At the order level, the most abundant groups were Rickettsiales and Sphingomonadales. Dominant genera were SphingomonasSolibacter and Pseudarthrobacter. 3) The results of α diversity and β diversity analysis suggest that the bacterial community diversity and community structure of different oat varieties were quite different. Notably, variety LXY-5 had the largest alpha diversity. Additionally, LEFSe analysis further showed that the biomarkers differed by species for different oat cultivars. 4) The functional prediction analysis using PICRUSt and FAPROTAX showed that the bacterial community in the oat seed samples mainly comprised three metabolic categories: metabolism, organic systems and human diseases, which could be classified into 42 KEGG and 24 COG secondary metabolic pathways. Moreover, a total of 52 metabolic pathways were obtained after FAPROTAX functional annotation. This study provides a theoretical basis for clarifying the diversity of the bacterial load of oat seed, and potentially can contribute to development of new genetic resources.

Key words: Illumina MiSeq high-throughput sequencing, oat seed-borne bacteria, bioinformatics analysis, PICRUSt, FAPROTAX