Method for acquiring relative abundance and activity of whole-course ammoxidation microorganisms from complex environment system based on macro omics technology
A technology of ammonia oxidizing microorganisms and complex environment, which is applied in the field of soil and water pollution prevention and control, and achieves the effects of high flux, high accuracy and high reliability.
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Embodiment 1
[0102] Example 1 Collection and Metagenome / Metatranscriptome Sequencing of Samples Used in the Present Invention
[0103] 1.1 Sample collection
[0104] The microbial diversity of the river ecosystem is high, which is a typical complex environmental system. Take the Yangtze River, the largest river in Asia, as an example. Referring to the national basic hydrological monitoring stations arranged by the Hydrological Bureau of the Yangtze River Water Conservancy Commission, select 10 sections on the main stream, including Yibin in Sichuan, Cuntan in Chongqing, Badong in Hubei, Yichang in Hubei, Chenglingji (Lian) in Hubei, Wuhan in Hubei, Datong in Anhui , Wuhu in Anhui, Zhenjiang in Jiangsu, and Xuliujing in Jiangsu. The total length from Yibin upstream to the mouth of the sea is about 2750km.
[0105] Metagenome sample collection strategy: Water and sediment samples were collected simultaneously at all sampling sections, and the sample collection was completed within a certai...
Embodiment 2
[0113] Example 2 Acquisition of the genome and transcriptome of the whole ammonia oxidizing microorganism
[0114] 2.1 Quality control of metagenomic / macrotranscriptome off-machine data
[0115]Utilize the NGS QC Toolkit (v 2.3.3) software to carry out quality control (parameters: 25-l 70-s 20-p 8) to off-machine metagenomic / macrotranscriptome data, the specific quality control standards are as follows: remove the N base For the sequence, remove the low-quality bases with a quality score 30%, and keep the remaining pair and single sequences. After quality control, metagenomic DNA-optimized short sequences accounted for 96.85-98.63% (average value 97.85%) of the original data, and metagenomic RNA-optimized short sequences accounted for 98.75-99.01% (average value 98.87%) of the original data volume. ), proving that the quality of the high-throughput sequencing data in this study is good (Table 1). Subsequently, use SortMeRNA (v 2.0) software to remove short ribosomal RNA sequ...
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