4.6 Article

The Root Endophytic Fungi Community Structure of Pennisetum sinese from Four Representative Provinces in China

期刊

MICROORGANISMS
卷 7, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/microorganisms7090332

关键词

Pennisetum sinese; endophytic fungi diversity; different ecoregion; forage grass

资金

  1. Local Education Department of Shaanxi Province of China [16JF029]
  2. Innovation Program of Shaanxi Province of China [2012CGX7, 2012KTZB03-02-03]
  3. Research Fund for the County Key Technology Project of Shaanxi Province of China [2018XY-14]
  4. National Natural Science Foundation [31660106]
  5. Guizhou Science and Technology Department Cooperation Project [LH(2016)7012, LH(2017)7063]
  6. Guizhou Provincial Department of Education [Qianjiaohe KY(2018)064]

向作者/读者索取更多资源

Pennisetum sinese is a good forage grass with high biomass production and crude proteins. However, little is known about the endophytic fungi diversity of P. sinese, which might play an important role in the plant's growth and biomass production. Here, we used high throughput sequencing of the Internal Transcribed Spacer (ITS) sequences based on primers ITS5-1737 and ITS2-2043R to investigate the endophytic fungi diversity of P. sinese roots at the maturity stage, as collected from four provinces (Shaanxi province, SX; Fujian province, FJ; the Xinjiang Uyghur autonomous prefecture, XJ and Inner Mongolia, including sand (NS) and saline-alkali land (NY), China). The ITS sequences were processed using QIIME and R software. A total of 374,875 effective tags were obtained, and 708 operational taxonomic units (OTUs) were yielded with 97% identity in the five samples. Ascomycota and Basidiomycota were the two dominant phyla in the five samples, and the genera Khuskia and Heydenia were the most abundant in the FJ and XJ samples, respectively, while the most abundant tags in the other three samples could not be annotated at the genus level. In addition, our study revealed that the FJ sample possessed the highest OTU numbers (242) and the NS sample had the lowest (86). Moreover, only 22 OTUs were present in all samples simultaneously. The beta diversity analysis suggested a division of two endophytic fungi groups: the FJ sample from the south of China and the other four samples from north or northwest China. Correlation analysis between the environmental factors and endophytic fungi at the class level revealed that Sordariomycetes and Pucciniomycetes had extremely significant positive correlations with the total carbon, annual average precipitation, and annual average temperature, while Leotiomycetes showed an extremely significant negative correlation with quick acting potassium. The results revealed significant differences in the root endophytic fungi diversity of P. sinese in different provinces and might be useful for growth promotion and biomass production in the future.

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