Modelling the gut microbiota ecosystem
Fecha
18/10/2018Estado
info:eu-repo/semantics/publishedVersionMetadatos
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The application of the recent molecular techniques based
on massive nucleotide sequencing for the study of the composition of the intestinal microbiota has allowed us to discover an exciting and completely unknown ecosystem. In
addition, it has been demonstrated that alterations in their
composition or functionality are linked to numerous gastrointestinal and systemic diseases. In recent years, numerous studies have shown the influence of gut microbiota on
human health and, consequently, numerous research lines
have been established to optimize health influencing this
ecosystem. However, the regulation rules of this bionetwork
have not yet been deciphered, and this knowledge is crucial
to be able to modulate the ecosystem.
The modulation of the microbiota needs not only physician approximations, but also biological, ecological, biochemical and physical. The microorganisms maintain a
close relationship with the host and this complicates the
restoration of the ecosystem. The application of the recent molecular techniques based
on massive nucleotide sequencing for the study of the composition of the intestinal microbiota has allowed us to discover an exciting and completely unknown ecosystem. In
addition, it has been demonstrated that alterations in their
composition or functionality are linked to numerous gastrointestinal and systemic diseases. In recent years, numerous studies have shown the influence of gut microbiota on
human health and, consequently, numerous research lines
have been established to optimize health influencing this
ecosystem. However, the regulation rules of this bionetwork
have not yet been deciphered, and this knowledge is crucial
to be able to modulate the ecosystem.
The modulation of the microbiota needs not only physician approximations, but also biological, ecological, biochemical and physical. The microorganisms maintain a
close relationship with the host and this complicates the
restoration of the ecosystem.
Modelling the gut microbiota ecosystem
Tipo de Actividad
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The application of the recent molecular techniques based on massive nucleotide sequencing for the study of the composition of the intestinal microbiota has allowed us to discover an exciting and completely unknown ecosystem. In addition, it has been demonstrated that alterations in their composition or functionality are linked to numerous gastrointestinal and systemic diseases. In recent years, numerous studies have shown the influence of gut microbiota on human health and, consequently, numerous research lines have been established to optimize health influencing this ecosystem. However, the regulation rules of this bionetwork have not yet been deciphered, and this knowledge is crucial to be able to modulate the ecosystem. The modulation of the microbiota needs not only physician approximations, but also biological, ecological, biochemical and physical. The microorganisms maintain a close relationship with the host and this complicates the restoration of the ecosystem.The application of the recent molecular techniques based on massive nucleotide sequencing for the study of the composition of the intestinal microbiota has allowed us to discover an exciting and completely unknown ecosystem. In addition, it has been demonstrated that alterations in their composition or functionality are linked to numerous gastrointestinal and systemic diseases. In recent years, numerous studies have shown the influence of gut microbiota on human health and, consequently, numerous research lines have been established to optimize health influencing this ecosystem. However, the regulation rules of this bionetwork have not yet been deciphered, and this knowledge is crucial to be able to modulate the ecosystem. The modulation of the microbiota needs not only physician approximations, but also biological, ecological, biochemical and physical. The microorganisms maintain a close relationship with the host and this complicates the restoration of the ecosystem.