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Modeling-Guided Amendments Lead to Enhanced Biodegradation in Soil
Year:
2022
Source of publication :
mSystems
Authors :
Eizenberg, Hanan
;
.
Freilich, Shiri
;
.
Lati, Ran
;
.
Medina, Shlomit
;
.
Volume :
7(4)
Co-Authors:

Kusum Dhakar, 
Raphy Zarecki, 
Shlomit Medina, 
Hamam Ziadna, 
Karam Igbaria, 
Ran Lati, 
Zeev Ronen, 
Hanan Eizenberg, 
Shiri Freilich 

Facilitators :
From page:
0
To page:
0
(
Total pages:
1
)
Abstract:

Extensive use of agrochemicals is emerging as a serious environmental issue coming at the cost of the pollution of soil and water resources. Bioremediation techniques such as biostimulation are promising strategies used to remove pollutants from agricultural soils by supporting the indigenous microbial degraders. Though considered cost-effective and eco-friendly, the success rate of these strategies typically varies, and consequently, they are rarely integrated into commercial agricultural practices. In the current study, we applied metabolic-based community-modeling approaches for promoting realistic in terra solutions by simulation-based prioritization of alternative supplements as potential biostimulants, considering a collection of indigenous bacteria. Efficacy of biostimulants as enhancers of the indigenous degrader Paenarthrobacter was ranked through simulation and validated in pot experiments. A two-dimensional simulation matrix predicting the effect of different biostimulants on additional potential indigenous degraders (Pseudomonas, Clostridium, and Geobacter) was crossed with experimental observations. The overall ability of the models to predict the compounds that act as taxa-selective stimulants indicates that computational algorithms can guide the manipulation of the soil microbiome in situ and provides an additional step toward the educated design of biostimulation strategies.

Note:
Related Files :
Biodegradation
Modeling-Guided Amendments
soil
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Related Content
More details
DOI :
10.1128/msystems.00169-22
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
62047
Last updated date:
19/09/2022 16:24
Creation date:
18/09/2022 17:42
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Scientific Publication
Modeling-Guided Amendments Lead to Enhanced Biodegradation in Soil
7(4)

Kusum Dhakar, 
Raphy Zarecki, 
Shlomit Medina, 
Hamam Ziadna, 
Karam Igbaria, 
Ran Lati, 
Zeev Ronen, 
Hanan Eizenberg, 
Shiri Freilich 

Modeling-Guided Amendments Lead to Enhanced Biodegradation in Soil

Extensive use of agrochemicals is emerging as a serious environmental issue coming at the cost of the pollution of soil and water resources. Bioremediation techniques such as biostimulation are promising strategies used to remove pollutants from agricultural soils by supporting the indigenous microbial degraders. Though considered cost-effective and eco-friendly, the success rate of these strategies typically varies, and consequently, they are rarely integrated into commercial agricultural practices. In the current study, we applied metabolic-based community-modeling approaches for promoting realistic in terra solutions by simulation-based prioritization of alternative supplements as potential biostimulants, considering a collection of indigenous bacteria. Efficacy of biostimulants as enhancers of the indigenous degrader Paenarthrobacter was ranked through simulation and validated in pot experiments. A two-dimensional simulation matrix predicting the effect of different biostimulants on additional potential indigenous degraders (Pseudomonas, Clostridium, and Geobacter) was crossed with experimental observations. The overall ability of the models to predict the compounds that act as taxa-selective stimulants indicates that computational algorithms can guide the manipulation of the soil microbiome in situ and provides an additional step toward the educated design of biostimulation strategies.

Scientific Publication
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