A long-term field experiment of soil transplantation demonstrating the role of contemporary geographic separation in shaping soil microbial community structure
Article first published online: 6 MAR 2014
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Ecology and Evolution
Volume 4, Issue 7, pages 1073–1087, April 2014
How to Cite
Ecology and Evolution 2014; 4(7):1073–1087
- Issue published online: 7 APR 2014
- Article first published online: 6 MAR 2014
- Manuscript Accepted: 30 JAN 2014
- Manuscript Revised: 29 JAN 2014
- Manuscript Received: 15 JAN 2014
- National Basic Research Program of China. Grant Numbers: 2011CB100506, 2014CB441003
- National Science Foundation of China. Grant Number: 41271258
- Knowledge Innovation Program of Chinese Academy of Sciences. Grant Number: KZCX2-YW-407
- New Zealand – China Scientist Exchange Program
Figure S1. Geographic locations of the experimental sites. The work involved three local soils from two Experimental Research Stations: Chao soil in Fengqiu (FQ); purple and red soils in Yingtan (YT). In the soil transplantation experiment, purple and red soils were placed in parallel in two geographic locations (i.e., FQ and YT). Of note, the monthly average of temperature ranges from −1.0°C to 26.7°C in FQ and 5.1°C to 29.5°C in YT. After 20 years, a total of four soil samples were taken from the transplanted soils at two sites and subjected to chemical, physical, and microbiological analysis. Additionally, the local Chao soil in FQ was also included in this work as a control.
Figure S2. Orientation plots generated by canonical correlation analysis of bacterial communities as estimated by 16S rDNA DGGE analysis. Environmental variables were subjected to the forward selection procedure using the Monte Carlo permutation test (P < 0.05) and variance inflation factors (VIF < 20). Variation in the bacterial communities can be explained by the factor of soil pH, water content, total N, and SOC at the level of 11.2%, 9.3%, 7.3%, and 6.0%, respectively. Soil samples are designated by location (FQ, Fengqiu; YT, Yingtan) and soil type (Chao, purple or red soil).
Figure S3. Rarefaction curves of the total number of OTUs against the total number of reads for the 16S rDNA (A) and 18S rDNA (B) sequences. Operational taxonomic units are defined by the 97% similarity cutoff. Soil samples are designated by location (FQ, Fengqiu; YT, Yingtan) and soil type (Chao, purple or red soil).
Figure S4. Cluster analysis of operational taxonomic units (OTUs) belonging to the four major types of microbial eukaryotes. Phylogenic distance was estimated using the 18S rDNA pyrosequencing data. OTUs are defined at the level of 97% sequence similarity and their relative abundance is indicated with different colors. Soil samples are designated by location (FQ, Fengqiu; YT, Yingtan) and soil type (Chao, purple, or red soils).
Table S1. Abundance of dominant bacterial genera identified by 16S rDNA 454 pyrosequencing.
Table S2. Abundances of eukaryotic families identified in the 18S rDNA 454 pyrosequencing.
Table S3. List of oligonucleotide primers used in this study.
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