Journals / Journal of Biotechnology and Strategic Health Research / 2017 / Mikrobiyota

Molecular Diagnostic Tests in Microbiota Investigations

Mikrobiyota Çalışmalarında Moleküler Tanı Yöntemleri

Pages
56–67
Publication Date
2017-11-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this review, it is aimed to share the recent knowledge about the molecular-based investigation tools with evaluating the available laboratory research methods that can be utilized in the microbiota studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the recent years, a plenty of data has been acquired about the potential effects of the microbiota on the human health, and strong evidences have been appeared related to the roles of the microbiota on the pathophysiology of some diseases.
📊
Key Findings & Data:This situation has led many medical disciplines to pay attention to the human microbiome, and the number of researches on this topic has signifi cantly increased.
💡
Conclusion & Impact:In this review, it is aimed to share the recent knowledge about the molecular-based investigation tools with evaluating the available laboratory research methods that can be utilized in the microbiota studies.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Mikrobiyota · Kültür · Moleküler Tanı Yöntemleri

Abstract

In the recent years, a plenty of data has been acquired about the potential effects of the microbiota on the human health, and strong evidences have been appeared related to the roles of the microbiota on the pathophysiology of some diseases. This situation has led many medical disciplines to pay attention to the human microbiome, and the number of researches on this topic has signifi cantly increased. Therefore, a requirement has emerged for the medical microbiology laboratories that previously used to work on the pathogen-based identifi cations, to identify hundreds of non-pathogenic bacteria, fungi and viruses present in the human body fl oras. The secrets of microbiome have been expressed as we have effectively used the available techniques among the culture-based and molecular-based identifi - cation methods. In this review, it is aimed to share the recent knowledge about the molecular-based investigation tools with evaluating the available laboratory research methods that can be utilized in the microbiota studies.

Özet

Son yıllarda mikrobiyotanın insan sağlığı üzerine olan potansiyel etkileri hakkında çok daha fazla veri elde edilmekte ve bazı hastalıkların patofi zyolojisinde mikrobiyotanın rol oynadığına dair güçlü bulgulara ulaşılmaktadır. Bu durum, birçok farklı tıp branşının insan mikrobiyotomuna ilgi duymasına neden olmuş ve bu konudaki çalışmalar önemli düzeyde artmıştır. Böylelikle; günümüze kadar genellikle sadece patojen-odaklı olarak çalışan tıbbi mikrobiyoloji laboratuvarları için insan fl orasında bulunan ve patojen olmayan yüzlerce bakteri, mantar ve virüsün tanımlanması gerekliliği ortaya çıkmıştır. Sahip olduğumuz tanı yöntemleri içinde kültür ve moleküler temelli yöntemlerin bu alanda etkili olarak kullanılması ile mikrobiyotomun sırları açıklanmaya başlanmıştır. Bu derlemede, mikrobiyota çalışmalarında kullanılan laboratuvar tanı yöntemleri değerlendirilerek moleküler esaslı inceleme araçları hakkındaki güncel verilerin paylaşılması amaçlanmıştır.

🔖

Cite This Article

GÜRSOY, N. C., OTLU, B. (2017). Molecular Diagnostic Tests in Microbiota Investigations. Journal of Biotechnology and Strategic Health Research, Mikrobiyota, 56–67. https://ajindex.com/articles/774615

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (17)

  1. Qin J, Li R, Raes J, et al. A human gut microbial gene catalog established by metagenomic sequencing. Nature. 2010; 464(7285): 59-65
  2. The Human Microbiome Project Consortium 2012. Structure, function and diversity of the healthy human microbiome. Nature. 486: 207–214
  3. Zoetendal EG, Vaughan EE, De Vos WM. A microbial world within us. Mol Microbiol. 2006; 59(6): 1639–50
  4. Wade W. Unculturable bacteria—the uncharacterized organisms that cause oral infections. Journal of the Royal Society of Medicine. 2002; 95(2): 81-83
  5. Zengler K, Toledo G, Rappe M, Elkins J, Mathur EJ, Short JM, et al. Cultivating the uncultured. Proc Natl Acad Sci USA. 2002; 99: 15681–6
  6. Ingham CJ, Sprenkels A, Bomer J, Molenaar D, van den Berg A, Vlieg JETVH et al. The micro-Petri dish, a million-well growth chip for the culture and high-throughput screening of microorganisms. Proc Natl Acad Sci USA. 2007; 104: 18217–18222
  7. Stewart EJ. Growing unculturable bacteria. J Bacteriol. 2012;194:4151–4160
  8. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, et al. Diversity of the human intestinal microbial fl ora. Science. 2005; 308(5728):1635–8
  9. Goodman AL, Kallstrom G, Faith JJ, Reyes A, Moore A, Dantas G, et al. Extensive personal human gut microbiota culture collections characterized and manipulated in gnotobiotic mice. Proc Natl Acad Sci U S A. 2011; 108(15): 6252–7
  10. Hugenholtz P, Goebel BM, Pace NR. Impact of Culture-Independent Studies on the Emerging Phylogenetic View of Bacterial Diversity. Journal of Bacteriology. 1998;180(18):4765-4774
  11. Morgan X, Huttenhower C. Chapter 12: human microbiome analysis.PLoS Comput Biol. 2012; 8:12.10.1371
  12. Austin, B. The value of cultures to modern microbiology. Antonie van Leeuwenhoek. 2017; 110: 1247
  13. Zuckerkandl E, Pauling L. Molecules as documents of evolutionary history. J Theor Biol. 1965; 8, 357-366
  14. Fraher MH, O’Toole PW, Quigley EM. Techniques used to characterize the gut microbiota: a guide for the clinician. Nat Rev Gastroenterol Hepatol. 2012; 9: 312–22
  15. Hayashi H, Sakamoto M, Benno Y. Phylogenetic analysis of the human gut microbiota using 16S rDNA clone libraries and strictly anaerobic culture-based methods. Microbiol. Immunol. 2002; 46, 535-548
  16. Rajendhran J, Gunasekaran P. Microbial phylogeny and diversity: Small subunit ribosomal RNA sequence analysis and beyond. Microbial Res 2011; 166: 99–110
  17. Clarridge JE. Impact of 16S rRNA Gene Sequence Analysis for Identifi ca