Crops ›› 2023, Vol. 39 ›› Issue (5): 170-178.doi: 10.16035/j.issn.1001-7283.2023.05.025

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Structure and Predicted Functional Analysis of Microbial Community of Millet Soil

Zhu Wenjuan(), Ren Yuemei(), Yang Zhong, Guo Ruifeng, Zhang Shou, Ren Guangbing   

  1. High Latitude Crops Institute to Shanxi Academy, Shanxi Agricultural University, Datong 037008, Shanxi, China
  • Received:2023-03-20 Revised:2023-05-31 Online:2023-10-15 Published:2023-10-16

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Abstract:

Rhizosphere and non-rhizosphere microbes of different millets in different periods were taken as research objects, and amplicon sequencing was used to investigate the soil microbial structure and function. The results showed that the main phyla of bacteria were Proteobacteria and Bacteroidota which ranged from 33.11% to 56.01% and the lowest proportion was in mature stage. The main phyla of fungi was Ascomycota which ranged from 67.48% to 92.29%, and Ascomycota had a trend of increasing first and then decreasing. Spearman correlation analysis revealed that Bacteroidota in rhizosphere had significantly negative correlation with total phosphorous, Bacteroidota in non-rhizosphere had significantly positive correlation with pH, Ascomycota in non-rhizosphere had significantly positive correlation with total nitrogen, respectively. The bacteria were rich in functional diversity with seven functions at primary function, including metabolism, genetic information processing and so on, and 41 functions at secondary function, including amino acid metabolism, carbohydrate metabolism and so on. The fungi community consisted of nine types of nutrients, such as saprotroph and pathotroph types, and included 26 functional subgroups, such as undefined saprophytes and plant pathogens. In summary, millet soil microbial structure and function were rich.

Key words: Millet, Amplicon sequencing, Soil microbes, Community structure, Community function

Fig.1

Spectral relative abundance of bacteria (a) and fungi (b) at phyla level"

Table 1

Physical and chemical properties of soil samples in mature stage"

序号
Number		 样品
Sample		 土壤含水率
SWC (%)		 pH 有机质
OM (g/kg)		 全氮
TN (%)		 全磷
TP (%)		 全钾
TK (%)		 速效钾
AK (mg/kg)		 速效磷
AP (mg/kg)		 碱解氮
AN (mg/kg)
1 MR29 1.90±0.00a 8.85±0.01a 23.65±5.35a 0.10±0.01a 0.06±0.00b 0.04±0.00a 209.50±5.50a 21.00±2.20b 109.90±14.10a
2 MN29 2.70±0.50a 8.84±0.09a 12.50±1.80a 0.09±0.00a 0.07±0.00b 0.03±0.01a 189.00±9.00a 23.25±1.35b 135.00±3.00a
3 MR14 2.95±0.15a 8.85±0.09a 17.85±1.35a 0.10±0.00a 0.07±0.00ab 0.04±0.00a 229.50±12.50a 28.70±1.70ab 127.20±45.80a
4 MN14 2.10±0.20a 8.82±0.03a 15.45±0.25a 0.10±0.00a 0.07±0.00ab 0.04±0.00a 209.00±25.00a 20.80±2.00ab 93.10±6.90a
5 MR8311 2.65±0.05a 8.89±0.08a 20.70±7.80a 0.10±0.00a 0.08±0.01a 0.03±0.00a 225.50±5.50a 30.85±1.85a 150.50±0.50a
6 MN8311 1.45±0.15a 8.89±0.11a 25.70±3.50a 0.09±0.01a 0.07±0.00a 0.04±0.00a 215.50±6.50a 26.15±1.75a 125.45±44.55a

Fig.2

Heatmap of bacteria (a, b) and fungi (c, d) based on Spearman correlation analysis “*”indicates significant correlation (P < 0.05),“**”indicates extremely significant correlation (P < 0.01)"

Fig.3

Spectral relative abundance of PICRUSt2-based predicted function for bacteria (hierarchy level one)"

Fig.4

PICRUSt2-based predicted function for bacteria (hierarchy level two)"

Fig.5

Spectral relative abundance of nutrient types prediction for fungi"

Fig.6

Spectral relative abundance of functional groups prediction for fungi"

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