Identification of key regulatory genes and their targets |
GRNs can
reveal the regulatory mechanisms that control gene expression in
microbial communities, identifying key regulatory genes and their
targets. |
Identifying the regulatory network controlling the production
of antibiotics in Streptomyces bacteria. |
Urem et al.,
2016 |
Uncovering the genetic architecture of microbial communities |
GRNs can
help to identify the genetic basis of microbial traits and the
interactions between genes, providing a more comprehensive understanding
of the genetic architecture of microbial communities. |
Mapping the gene
interactions involved in nitrogen fixation in a soil microbiome. |
Epihov et al., 2021 |
Identification of functional roles of specific microbial species |
GRNs
can help to identify the functional roles of specific microbial species
within a community, shedding light on their ecological functions and
interactions with other community members. |
Identifying the metabolic
pathways of a specific bacterial species involved in the degradation of
hydrocarbons in an oil spill. |
Dombrowski et al., 2016 |
Understanding the mechanisms underlying ecological processes |
GRNs can
reveal the molecular mechanisms underlying ecological processes, such as
nutrient cycling and bioremediation, enabling a more detailed
understanding of microbial ecosystem functioning. |
Identifying the
regulatory networks controlling the uptake and assimilation of nitrogen
in a microbial community involved in nitrogen cycling. |
Mooshammer et
al., 2014 |
Enhanced understanding of microbial diversity and evolution |
GRNs can
provide insights into the evolution of microbial communities and the
mechanisms driving microbial diversity. |
Studying the evolution of gene
regulation in bacterial lineages from different environments. |
Babu et
al., 2006 |
Development of new biotechnologies |
GRNs can help to identify novel
enzymes and metabolic pathways with potential biotechnological
applications. |
Identifying the genes and pathways involved in the
production of biofuels from lignocellulosic biomass. |
Velvizhi et al.,
2022 |
Integration of data from different sources |
GRNs can integrate data
from multiple sources, including transcriptomic, proteomic, and
metabolomic data, enabling a more comprehensive understanding of
microbial communities. |
Integrating transcriptomic and proteomic data
to identify the key genes and proteins involved in microbial
interactions in a soil microbiome. |
Saraiva et al., 2021 |
Identification of complex interactions and feedback mechanisms within
microbial communities
|
GRNs can reveal the complex interactions and feedback mechanisms between
genes and regulatory factors within microbial communities.
|
Identifying the feedback mechanisms involved in the regulation of
virulence genes in pathogenic bacteria.
|
Yarwood et al., 2001
|
Potential for developing sustainable solutions to environmental problems |
GRNs can provide insights into the functional roles of microbial
communities in biogeochemical cycles and bioremediation, enabling the
development of more sustainable solutions to environmental problems. |
Identifying the microbial communities involved in the degradation of
pollutants in contaminated soil and developing strategies to enhance
their activity. |
Abraham et al., 2002 |
Improved strategies for treating and preventing microbial infections |
GRNs can provide insights into the molecular mechanisms of pathogenesis,
enabling the development of more effective strategies for treating and
preventing microbial infections. |
Identifying the regulatory networks
controlling the expression of virulence genes in bacterial pathogens
and developing new approaches to target these networks. |
Kreikemeyer et
al., 2003 |
Better adaptation of microbial ecosystems to changing conditions |
GRNs
can reveal how microbial communities adapt to changing environmental
conditions, enabling a better understanding of the resilience and
stability of microbial ecosystems. |
Studying the adaptive responses
of microbial communities to changes in temperature or nutrient
availability. |
Wallenstein and Hall, 2012 |