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Study on the correlation between soil microbial diversity and ambient environmental factors influencing the safflower distribution in Xinjiang
Authors:Yang Liu  Xia Zhang  Mei Ling Yang  Shao Ming Wang
Affiliation:1. College of Agriculture, Shihezi University, Shihezi, Xinjiang, China;2. College of Life Sciences, Shihezi University, Shihezi, Xinjiang, China
Abstract:The effects of soil microbial properties and physiographical factors on safflower distributions in the main safflower plantations of Xinjiang province in China were studied. This study may help determine the basis of the environmental factors for evaluating the geoherbalism of this medicinal plant. The soil microbial biodiversity in the bulk soil and rhizosphere of safflower at different growth stages and from different sampling plots were characterized by analyzing the environmental DNAs in the samples. With general primers targeting the 16S ribosomal DNA for bacteria and the internal transcribed spacer 1 gene for fungi, the study was performed using marker gene amplification coupled with Illumina HiSeq high-throughput sequencing technologies. Correlation analysis and a distance-based redundancy analysis were performed to determine the dominant factors affecting the distribution of the microorganism in safflower soils. A total of 16517 bacterial operational taxonomic units (OTUs) were obtained from all the 108 soil samples of nine safflower sampling plots. At the phylum level, 48 phyla have been identified with Actinobacteria (32.9%) and proteobacteria (28.7%) being predominant. For fungi, 8746 OTUs were obtained, which belonged to seven phyla with Ascomycota overwhelmingly superior in relative abundance. A significant positive correlation was found between soil microbe quantity and ASL (above sea level). Safflower was sensitive to changes in elevation, growing more abundantly in the mountainous regions at heights of around 1,200 m above sea level. It is concluded that the dominant factors affecting the distribution of microorganisms in safflower soils were soil moisture, available N, and ASL.
Keywords:distance-based redundancy analysis (dbRDA)  ecological factor  environmental DNA (eDNA)  high-throughput sequencing  safflower (Carthamus tinctorius L.)  soil microorganism
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