2.3
DNA Extraction and PCR
Amplification
According to the manufacturer's instructions, the
Mag-Bind® Universal Metagenomics Kit was used
to extract DNA from 1.0 g of soil samples. The
extracted DNA was measured by agarose gel
electrophoresis (0.8%), and the DNA was quantified
by an ultraviolet spectrophotometer. The extracted
DNA was stored at -80°C for analysis. The V4-V5
region within the 18S rRNA gene was amplified from
each sample using general eukaryotic primers
TAReuk454F WD1 (5'-
CCAGCASCYGCGGTAATTCC-3') and TAReu
kREV3 (5'-ACTTTCGTTCTTGATYRA-3')
(Logares, R 2016) according to previously published
protocols. PCR amplification was conducted using
the Q5 high fidelity DNA polymerase (NEB, UK);
Strictly control the number of amplification cycles to
ensure that the number of cycles was as few as
possible, and the amplification conditions of each
batch of samples were consistent. The high-
throughput sequencing of the 18S rRNA gene was
conducted using the Illumina MiSeq PE300 platform
at the Shanghai Majorbio Bio-pharm Biotechnology
Co., Ltd. (Shanghai, China). The read sequences were
deposited into the NCBI Sequence Read Archive
under accession numbers SRP155301 and
SRP154689.
2.4
Sequence Analysis
In order to integrate the original double-end
sequencing data into our analysis, the sliding window
method was used to individually screen double-end
sequences in FASTQ format. The FLASH software
(v1.2.7; http://ccb.jhu.edu/ software/FLASH/) was
used to pair double-ended sequences through primary
quality screening of overlapping bases. The
sequencing results were analyzed using the QIME
software (v1.8.0; http://qiime.org/). Sequences that
met the following criteria were filtered out: (1)
length<150 bp; (2) contained fuzzy bases; (3) number
of mismatched bases in 5'-end primers > 1; (4)
number of consecutive identical bases > 8. Chimeric
sequences were verified and removed using
USEARCH (v5.2.236;
http://www.drive5.com/usearch/). The QIIME and
UCLUST softwares were used to divide the
operational taxonomic units (OTU) at 97% similarity;
The most abundant sequence in each OTU was
selected as the representative sequence of the OTU.
Then, according to the number of sequences
corresponding to each OTU in each sample, a matrix
file containing the abundance of OTU in each sample
was constructed. For each OTU representative
sequence, used the default parameters in the QIIME
software to compare the representative sequence with
the template sequence in the Silva database to obtain
the classification information corresponding to each
OTU (Release 115; http://www.arb-silva.de).
3 RESUITS
3.1 Difference in Lettuce Yield and Soil
Sucrase Activity
Lettuce grown in rotation with spinach yields were
4.78 kg/m2 and 6.28 kg/m2. The average yield of the
two rotations is 5.53 kg/m2. The output of lettuce
increased by 31.4% after rotation, significantly. In the
process of lettuce rotation, the activity of invertase
fluctuates greatly, and the overall level remained at
15.25 U/g. Sucrose activity increased when lettuce
was harvested compared to pre-planting activity. The
soil invertase activity in rotation treatment increased
by 9.5% on average compared with that before
planting. (Fig. 1). In the crop rotation soil samples,
Ascomycota, Chlorophyta, Nematoda, Streptophyta,
Apicomplexa, Chytridiomycota, Arthropoda and
Eustigmatophyceae accounted for a large proportion
of the eukaryotes phyla present during cultivation. In
addition, Eustigmatophyceae appeared during lettuce
cultivation, and Bacillariophyta was found in all of
the 0-10 cm soil samples (Fig. 2).
Figure 1: Soil sucrase activity in rotation cropping soil
samples.