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草业学报 ›› 2023, Vol. 32 ›› Issue (7): 96-108.DOI: 10.11686/cyxb2022427

• 研究论文 • 上一篇    下一篇

基于Illumina MiSeq高通量测序的燕麦种带细菌多样性及功能分析

张振粉1,2(), 黄荣1,2, 李向阳1,2, 姚博1,2, 赵桂琴1,2   

  1. 1.甘肃农业大学草业学院,甘肃 兰州 730070
    2.草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070
  • 收稿日期:2022-10-27 修回日期:2022-11-26 出版日期:2023-07-20 发布日期:2023-05-26
  • 通讯作者: 张振粉
  • 作者简介:张振粉(1984-),男,福建霞浦人,副教授,博士。E-mail: zhangzf@gsau.edu.cn
    张振粉(1984-),男,福建霞浦人,副教授,博士。E-mail: zhangzf@gsau.edu.cn
  • 基金资助:
    国家自然科学基金(32060369);甘肃省杰出青年基金(20JR10RA562);草业生态系统教育部重点实验室-人才培育项目(KLGE202203);财政部和农业农村部:国家现代农业产业技术体系(CARS-07-C-1)

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

摘要:

采用高通量测序法,分析 7 份来自不同地区的燕麦种带细菌群落的细菌丰度、Alpha多样性、Beta多样性和物种组成差异,并采用 PICRUSt和FAPROTAX功能预测的方法分析了各种带细菌间的丰度差异。结果显示:1)7份燕麦中共获得5187个细菌可操作分类单元(OTUs),主要归属于33个门、180个目和435个属。2)基于OTUs的丰度及注释信息,7份燕麦种带细菌群落中变形菌门、绿弯菌门、酸杆菌门、放线菌门和蓝菌门为优势菌门,立克次氏体目和鞘脂单胞菌目为优势菌目,鞘氨醇单胞菌属、Solibacter和假节杆菌属为优势菌属。3) Alpha多样性和Beta多样性表明不同燕麦品种的细菌群落多样性和群落结构具有较大差异,其中 LXY-5 具有最大的Alpha多样性。LEFSe分析更进一步显示不同的燕麦品种生物标记的物种不同。4) PICRUSt 和 FAPROTAX 功能预测分析表明,燕麦种带细菌群落主要有代谢、有机系统和人类疾病3个代谢通路,分属于有42个 KEGG 和24个COG的二级代谢途径;FAPROTAX功能注释后共获得52个生态功能。研究结果为明确燕麦种带细菌多样性及开发新型基因资源提供了理论依据。

关键词: Illumina MiSeq高通量测序, 燕麦种带细菌, 生物信息学分析, PICRUSt, FAPROTAX

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