2023
DOI: 10.1016/j.ecoenv.2022.114492
|View full text |Cite
|
Sign up to set email alerts
|

Urbanization alters soil bacterial communities in southern China coastal cities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…At the organismal level, urbanization and pollution are known to influence the physiology, behaviour and life history of diverse marine animals (Elizabeth Alter et al, 2021;Morroni et al, 2023;Weis, 2014). These effects can also be observed in the complex assembly of animal-associated microbial communities and the functions they provide to their hosts (Fu et al, 2023;Pei et al, 2022;Q. Wang et al, 2018;Wei et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…At the organismal level, urbanization and pollution are known to influence the physiology, behaviour and life history of diverse marine animals (Elizabeth Alter et al, 2021;Morroni et al, 2023;Weis, 2014). These effects can also be observed in the complex assembly of animal-associated microbial communities and the functions they provide to their hosts (Fu et al, 2023;Pei et al, 2022;Q. Wang et al, 2018;Wei et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…A Venn diagram was used to display the shared and unique OTUs among the groups. The phylogenetic investigation of communities by the reconstruction of unobserved states (PICRUSt) based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases and Functional Annotation of Prokaryotic Taxa (FAPROTAX) was employed to predict the function [21]. A principal coordinate analysis (PCoA) with a permutation multivariate analysis of variance (Adonis) was applied to describe beta diversity of predicted functions.…”
Section: Bioinformatic and Statistical Analysismentioning
confidence: 99%