Unknown

Dataset Information

0

Variation of soil nutrients and bacterial community diversity of different land utilization types in Yangtze River Basin, Chongqing Municipality.


ABSTRACT: The diversity and community distribution of soil bacteria in different land use types in Yangtze River Basin, Chongqing Municipality were studied by using Illumina MiSeq analysis methods. Soil physical and chemical properties were determined, and correlation analyses were performed to identify the key factors affecting bacterial numbers and ?-diversity in these soils. The results showed that the soil physical and chemical properties of different land use types decrease in the order: mixed forest (M2) > pure forest (P1) > grassland (G3) > bare land (B4). There were significant differences in bacterial diversity and communities of different land use types. The diversity of different land use types showed the same sequence with the soil physical and chemical properties. The abundance and diversity of bacterial in M2 and P1 soils was significantly higher than that in G3 and B4 soils. At phylum level, G3 and B4 soils were rich in only Proteobacteria and Actinobacteria, whereas M2 and P1 soils were rich in Proteobacteria, Actinobacteria and Firmicutes. At genus level, Faecalibacterium and Agathobacter were the most abundant populations in M2 soil and were not found in other soils. Pearson correlation analysis showed that soil moisture content, pH, AN, AP, AK and soil enzyme activity were significantly related to bacterial numbers, diversity and community distribution.

SUBMITTER: Li Y 

PROVIDER: S-EPMC7370933 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Variation of soil nutrients and bacterial community diversity of different land utilization types in Yangtze River Basin, Chongqing Municipality.

Li Yanlin Y   Zeng Chunmei C   Long Meijun M  

PeerJ 20200717


The diversity and community distribution of soil bacteria in different land use types in Yangtze River Basin, Chongqing Municipality were studied by using Illumina MiSeq analysis methods. Soil physical and chemical properties were determined, and correlation analyses were performed to identify the key factors affecting bacterial numbers and α-diversity in these soils. The results showed that the soil physical and chemical properties of different land use types decrease in the order: mixed forest  ...[more]

Similar Datasets

| S-EPMC5745794 | biostudies-literature
| S-EPMC9082682 | biostudies-literature
| S-EPMC9200827 | biostudies-literature
| S-EPMC9910701 | biostudies-literature
| S-EPMC8776540 | biostudies-literature
| S-EPMC8629911 | biostudies-literature
| S-EPMC6798867 | biostudies-literature
| S-EPMC3468820 | biostudies-literature
| S-EPMC6108485 | biostudies-literature