Illumina sequencing of 18S/16S rRNA reveals microbial community composition, diversity, and potential pathogens in 17 turfgrass seeds

Li Ping Ban, Jin Dong Li, Min Yan, Yu Hao Gao, Jin Jin Zhang, Timothy W. Moural, Fang Zhu, Xue Min Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The increasing need for turfgrass seeds is coupled with the high risk of dangerous microbial pathogens being transmitted through the domestic and international trade of seeds. Concerns continue to be raised about seed safety and quality. Here, we show that next-generation sequencing (NGS) of DNA represents an effective and reliable tactic to monitor the microbial communities within turfgrass seeds. A comparison of DNA sequence data with reference databases revealed the presence of 26 different fungal orders. Among them, serious plant disease pathogens such as Bipolaris sorokiniana, Boeremia exigua, Claviceps purpurea, and Rhizoctonia zeae were detected. Seedborne bacteria, including Erwinia persicina and Acidovorax avenae, were identified from different bacterial orders. Our study indicated that the traditional culturing method and the NGS approach for pathogen identification complement each other. The reliability of culturing and NGS methods was further validated by PCR with specific primers. The combination of these different techniques ensures maximum sensitivity and specificity for turfgrass seed pathogen testing assay.

Original languageEnglish (US)
JournalPlant disease
Volume105
Issue number5
DOIs
StatePublished - May 2021

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Plant Science

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