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1.
Methods Mol Biol ; 2588: 91-104, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36418684

RESUMO

In their natural environments, microorganisms usually live in organized communities. Profiling analysis of microbial communities has recently assumed special relevance as it allows a thorough understanding of the diversity of the microbiota, its behavior over time, and the establishment of patterns associated with health and disease. The application of molecular biology approaches holds the advantage of including culture-difficult and as-yet-uncultivated phylotypes in the profiles, providing a more comprehensive picture of the microbial community. This chapter focuses on two particular techniques, namely terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE), both of which have been widely used in environmental studies and have been recently successfully used by the authors in the study of the oral microbial communities associated with conditions of health and disease.


Assuntos
Microbiota , Polimorfismo de Fragmento de Restrição , Eletroforese em Gel de Gradiente Desnaturante , Microbiota/genética , Biologia Molecular
2.
Methods Mol Biol ; 1537: 139-152, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-27924592

RESUMO

In their natural environments, microorganisms usually live in organized communities. Profiling analysis of microbial communities has recently assumed special relevance as it allows a thorough understanding of the diversity of the microbiota, its behavior over time, and the establishment of patterns associated with health and disease. The application of molecular biology approaches holds the advantage of including culture-difficult and as-yet-uncultivated phylotypes in the profiles, providing a more comprehensive picture of the microbial community. This chapter focuses on two particular techniques, namely, terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE), both of which have been widely used in environmental studies and have been successfully used by the authors in the study of the oral microbial communities associated with conditions of health and disease.


Assuntos
Eletroforese em Gel de Gradiente Desnaturante , Metagenoma , Metagenômica , Microbiota , Polimorfismo de Fragmento de Restrição , Eletroforese em Gel de Gradiente Desnaturante/métodos , Humanos , Metagenômica/métodos , Boca/microbiologia , Reação em Cadeia da Polimerase , RNA Ribossômico 16S/genética
3.
Braz. j. microbiol ; Braz. j. microbiol;38(4): 736-738, Oct.-Dec. 2007. ilus, tab
Artigo em Inglês | LILACS | ID: lil-473490

RESUMO

Terminal Restriction Fragment Length Polymorphism (T-RFLP) is a culture-independent fingerprinting method for microbial community analysis. Profiles generated by an automated electrophoresis system can be analysed quantitatively using either peak height or peak area data. Statistical testing demontrated that peak height data showed to be more reproducible than peak area data.


Terminal Restriction Fragment Length Polymorphism (T-RFLP) é um método molecular, independente de cultivo, para análise de comunidades microbianas. Perfis gerados por um sistema automatizado de eletroforese podem ser analisados quantitativamente usando dados de altura ou área dos picos. Os dados de altura mostraram-se mais reprodutíveis do que os de área.

4.
Artigo em Inglês | VETINDEX | ID: vti-444177

RESUMO

Terminal Restriction Fragment Length Polymorphism (T-RFLP) is a culture-independent fingerprinting method for microbial community analysis. Profiles generated by an automated electrophoresis system can be analysed quantitatively using either peak height or peak area data. Statistical testing demontrated that peak height data showed to be more reproducible than peak area data.


Terminal Restriction Fragment Length Polymorphism (T-RFLP) é um método molecular, independente de cultivo, para análise de comunidades microbianas. Perfis gerados por um sistema automatizado de eletroforese podem ser analisados quantitativamente usando dados de altura ou área dos picos. Os dados de altura mostraram-se mais reprodutíveis do que os de área.

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