2023
DOI: 10.1371/journal.pone.0281442
|View full text |Cite
|
Sign up to set email alerts
|

Temporal assessment of N-cycle microbial functions in a tropical agricultural soil using gene co-occurrence networks

Abstract: Microbial nitrogen (N) cycling pathways are largely responsible for producing forms of N that are available for plant uptake or lost from the system as gas or leachate. The temporal dynamics of microbial N pathways in tropical agroecosystems are not well defined, even though they are critical to understanding the potential impact of soil conservation strategies. We aimed to 1) characterize temporal changes in functional gene associations across a seasonal gradient, 2) identify keystone genes that play a centra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 73 publications
0
3
0
Order By: Relevance
“…Similar to this study, confounding factors can make it difficult to distinguish the interaction between the WBR microbiome and environmental variables ( 29 ). To more clearly understand the relationships between the environmental variables and marker gene abundance, network analysis would be useful ( 35 37 ). This should be tested in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to this study, confounding factors can make it difficult to distinguish the interaction between the WBR microbiome and environmental variables ( 29 ). To more clearly understand the relationships between the environmental variables and marker gene abundance, network analysis would be useful ( 35 37 ). This should be tested in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Updated frameworks that build on these association methods can further improve detection of interactions by using ecological information about species' traits with better a predictive power than phylogenetic information alone (Kéfi et al 2016, Alneberg et al 2020). Studies on bacteria using such trait‐ (Metz et al 2023, Wang et al 2023) and gene‐based network methods to infer interaction types (Schaedel et al 2023) may also help gain information about indirect and non‐linear interaction types amongst community members that might not be revealed by a co‐occurrence matrix alone (Saiz et al 2019). Combined methods using these trait‐based approaches allow a fuller understanding of the spatial and temporal variation in facilitating relationships (Tumolo et al 2020), such as joint species distribution models (D'Amen et al 2018).…”
Section: How To Investigate Bacterial Facilitation In the Natural Worldmentioning
confidence: 99%
“…The discussion about the bacterial response system can be extrapolated to the soil with a reasonable level of security, since both this environment and the culture medium used to obtain the in vitro results are rich in nutrients. The effect of selecting microorganisms' pesticide-tolerant, but not necessarily degrading, can impact soil diversity, because soil microbiota plays a key role in regulating biogeochemical cycles as nitrogen [52], carbon, nutrient, and many other [53]. Changes in structure of microbiomes in agricultural soil, in response to flufenacet and isoxaflutol herbicides, reduced soil enzyme activities and corn crop yields [54].…”
Section: Plos Onementioning
confidence: 99%