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. 2006 Feb;55(2):141–143. doi: 10.1136/gut.2005.081695

A molecular revolution in the study of intestinal microflora

E Furrie
PMCID: PMC1856515  PMID: 16407377

Abstract

Bacterial colonisers of the colon comprise several hundred bacterial species that live in a complex ecosystem. Study of this complex ecosystem has been carried out, until recently, by traditional culture techniques with biochemical methods to identify organisms. The development of molecular techniques to investigate ecological microbial communities has provided the microbiologist with a vast array of new techniques to investigate human intestinal microflora. Metagenomics, the science of biological diversity, combines the use of molecular biology and genetics to identify and characterise genetic material from complex microbial environments. The combination of metagenomics and subsequent quantitation of each identified species using molecular techniques allows the relatively rapid analysis of whole bacterial populations in human health and disease

Keywords: Crohn's disease, metagenome, faecal microbiota, phylogeny, Firmicutes


Bacteria permanently colonise the whole length of the gastrointestinal tract with by far the highest concentration of organisms found in the large intestine. These bacterial colonisers of the colon comprise several hundred bacterial species that live in a complex ecosystem with estimates of 1012–1014 organisms per gram of faecal material.1,2 Anaerobic bacteria predominate, with bacterial numbers increasing progressively through the colon.3 The study of this complex ecosystem has been carried out, until recently, by traditional culture techniques using viable counting of colonies and biochemical methods to identify organisms.1,3,4 There are a number of advantages and disadvantages in using culture methods to investigate diverse and complicated ecosystems that grow in challenging environments (see table 1). The development of molecular techniques to investigate ecological microbial communities has provided the microbiologist with a vast array of new techniques to investigate human intestinal microflora (reviewed by Macfarlane and Macfarlane3). The relative pros and cons of molecular analysis are outlined in table 2.

Table 1 Advantages and disadvantages of classical culturing techniques to identify and examine intestinal species.

Advantages Disadvantages
Relatively inexpensive Slow, time consuming, and labour intensive
Widely available Samples require immediate processing
Allows quantification of bacterial populations Extensive expertise and specialised equipment needed to isolate strict anaerobes
Can provide a good indication of ecosystem complexity, if carried out by skilled and experienced microbiologist! Restricted to culturable organisms
Physiological studies are possible Selection of growth media can greatly affect results. Not all viable bacteria can be recovered
Biochemical studies are possible Once isolated, bacteria then require identification using a number of techniques

Table 2 Advantages and disadvantages of using molecular techniques to investigate intestinal bacterial populations.

Advantages Disadvantages
High throughput and relatively short learning time with most techniques Difficult to standardise extraction of genetic material from each species equally. Severe bias possible in mixed populations
Anaerobic handling and expertise not required Can be very expensive
Samples can be frozen for later analysis Selection of primers and probes can introduce severe bias in detection
DNA can be transported easily between laboratories Many methods are not quantitative so confirmatory analysis is necessary
Unculturable species are detectable Impossible to model ecosystem
In theory, down to one molecule of target DNA can be quantified. Some methods are very insensitive

“The development of molecular techniques to investigate ecological microbial communities has provided the microbiologist with a vast array of new techniques to investigate human intestinal microflora”

Much of the previous more traditional microbiology carried out on inflammatory bowel disease (IBD) has focused on the search for a causative bacterial agent, with many and varied candidates being proposed.5,6,7,8,9 It has now been generally accepted that analysis of the microbial ecosystem and changes in the balance of organisms at initiation and during disease yields far more relevant information than hunting for the proverbial “needle in the haystack”. This change has partly been driven by the general ineffectiveness of targeted antibiotic therapy to treat IBD10,11,12,13,14 and the potential of probiotics as therapy for IBD, allowing re‐establishment of homeostasis present in healthy gut.15,16,17

In order to develop these alternative therapies it is essential to determine what comprises a healthy colonic ecosystem and how this balance of organisms is altered during various states and stages of IBD. As a large majority of bacterial species present in the colon are effectively unculturable,18,19 it is impossible for detailed examination of the colonic microflora to be achieved using traditional culture techniques. The increased ease in which molecular analysis can be carried out by most microbiologists has led to an explosion in sequencing of ribosomal DNA (rDNA) from different bacterial species and strains from many different environments. This has allowed the construction of relevant sequence databases.

“The increased ease in which molecular analysis can be carried out by most microbiologists has led to an explosion in sequencing of ribosomal DNA from different bacterial species and strains from many different environments”

The rDNA gene has regions of consensus that are identical for all bacteria, and regions of variability that are specific for particular groups and species.2,18,20 Within these variable regions there are also small areas of hypervariability that may be unique for different strains of the same organism.20 Therefore, rDNA sequences can be used to identify different species and strains of particular species within complex mixed bacterial communities using array technology. Only high throughput molecular techniques that can examine multiple organisms from multiple donors, both healthy and IBD, can provide an accurate picture of the complexities of these bacterial communities.19

Metagenomics has been defined as the science of biological diversity; it combines the use of molecular biology and genetics to identify and characterise genetic material from complex microbial environments. A full metagenomic approach is a comprehensive study of nucleotide sequence, structure, regulation, and function, providing a picture of the dynamics of complex microbial communities.21,22 This approach can identify the diversity, but not the relative numbers, of each species residing in that particular environment. This analysis requires the production of a metagenomic library that, in theory, contains all the genetic material present in the initial sample but in a form that can be readily analysed by the researcher. The completeness of this library is entirely dependant on the initial extraction of total genetic material from the primary source.

“A full metagenomic approach is a comprehensive study of nucleotide sequence, structure, regulation, and function, providing a picture of the dynamics of complex microbial communities”

There is potential for significant bias in the metagenomic approach as different bacteria are more or less susceptible to lysis, with Gram positive organisms being particularly resistant.23,24 Therefore, DNA extraction must be optimised for construction of an effective library. A second source of potential bias is during manipulation of the genetic material to construct the library. Each extracted piece of DNA must be able to insert into the vector (fosmid) with equal efficiency to give a library representative of the original material. Once the library is constructed each individual clone must be analysed using a DNA probe. Correct selection of this probe is critical for the balanced analysis of the library.

In this issue of Gut, Manichanh and colleagues25 describe how they constructed a mixed universal probe by amplifying DNA extracted directly from healthy faecal samples using universal bacterial specific primers to optimise the hybridisation potential of the probe, and maintain, on analysis, the diversity of the original material used to construct the library (see page 205). With all array analysis it is essential to check the results obtained in the array using a quantitative molecular technique. There are two molecular options, either fluorescent in situ hybridisation or quantitative real time polymerase chain reaction (qPCR). These techniques, unlike the metagenomic approach, require the target organism (and sequence) to be known. Construction of specific fluorescent probes (in situ hybridisation) or primers (qPCR) allows quantitative analysis of organisms previously identified in the metagenomic library.

In situ hybridisation has previously been used to determine sites of colonisation and quantify bacteria in IBD.26 This technique has the advantage of allowing analysis of specific bacterial species in situ on mucosal tissue and faecal samples, enabling the spatial relationship between different organisms in a particular environment to be investigated.27 It can also be developed into a high throughput assay by coupling in situ hybridisation with flow cytometry and the potential of analysing up to seven different bacterial specific fluorescent probes in unison.28,29 qPCR has generally been the method of choice for quantitative confirmation of array analysis, particularly quantitation of specific gene expression, but it can also be used to determine numbers of specific bacteria using primers designed to anneal to species unique areas of the rDNA gene.17,24,30,31

“The combination of macroarray technology (metagenomics) and the subsequent quantitation of each identified species using molecular techniques allows the relatively rapid analysis of whole bacterial populations in human health and disease”

The combination of macroarray technology (metagenomics) and the subsequent quantitation of each identified species using molecular techniques allows the relatively rapid analysis of whole bacterial populations in human health and disease. It removes the problem of organisms that are either difficult or impossible to culture, and further introduces the possibility of analysing gene expression in these organisms, directly from their natural environment, thereby removing any bias introduced through manipulation and repeated culture passage.

Abbreviations

IBD - inflammatory bowel disease

rDNA - ribosomal DNA

qPCR - quantitative real time polymerase chain reaction

Footnotes

Conflict of interest: None declared.

References

  • 1.Finegold S M, Sutter V L, Mathisen G E. Normal indigenous intestinal flora. In: Hentges DJ, ed. Human intestinal microflora in health and disease. New York: Academic press, 19833–31.
  • 2.Suau A, Bonnet R, Sutren M.et al Direct analysis of genes encoding 16S rRNA from complex communities reveals many novel molecular species within the human gut. Appl Environ Microbiol 1999654799–4807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Macfarlane S, Macfarlane G T. Bacterial diversity in the human gut. Adv Appl Microbiol 200454261–289. [DOI] [PubMed] [Google Scholar]
  • 4.Macfarlane S, Furrie E, Cummings J H.et al Chemotaxonomic analysis of bacterial populations colonizing the rectal mucosa in patients with ulcerative colitis. Clin Infect Dis 2004381690–1699. [DOI] [PubMed] [Google Scholar]
  • 5.Darfeuille‐Michaud A. Adherent‐invasive Escherichia coli: a putative new E. coli pathotype associated with Crohn's disease. Int J Med Microbiol 2002292185–193. [DOI] [PubMed] [Google Scholar]
  • 6.Schultsz C, Moussa M, van Ketel R.et al Frequency of pathogenic and enteroadherent Escherichia coli in patients with inflammatory bowel disease and controls. J Clin Pathol 199750573–579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bamba T, Matsuda H, Endo M.et al The pathogenic role of Bacteroides vulgatus in patients with ulcerative colitis. J Gastroenterol 1995S845–47. [PubMed] [Google Scholar]
  • 8.Mellman R L, Spisak G M, Burakoff R. Enterococcus avium bacteremia in association with ulcerative colitis. Am J Gastroenterol 199287375–378. [PubMed] [Google Scholar]
  • 9.Naser S A, Ghobrial G, Romero C.et al Culture of Mycobacterium avium subspecies paratuberculosis from the blood of patients with Crohn's disease. Lancet 20043641039–1044. [DOI] [PubMed] [Google Scholar]
  • 10.Dickinson R J, O'Connor H J, Pinder I.et al Double blind controlled trial of oral vancomycin as adjunctive treatment in acute exacerbations of idiopathic colitis. Gut 1985261380–1384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Mantzaris G J, Hatzis A, Kontogiannis P.et al Intravenous tobramycin and metronidazole as an adjunct to corticosteroids in acute, severe ulcerative colitis. Am J Gastroenterol 19948943–46. [PubMed] [Google Scholar]
  • 12.Turunen U M, Farkkila M A, Hakala K.et al Long‐term treatment of ulcerative colitis with ciprofloxacin: a prospective, double‐blind, placebo‐controlled study. Gastroenterology 19981151072–1078. [DOI] [PubMed] [Google Scholar]
  • 13.Schultz M, Scholmerich J, Rath H C. Rationale for probiotic and antibiotic treatment strategies in inflammatory bowel diseases. Dig Dis 200321105–128. [DOI] [PubMed] [Google Scholar]
  • 14.Cummings J H, Macfarlane G T. Is there a role for microorganisms? In: Jewell DP, Warren BF, Mortensen NJ, eds. Challenges in inflammatory bowel disease. Oxford: Blackwell Science, 200147–48.
  • 15.Hart A L, Stagg A J, Kamm M A. Use of probiotics in the treatment of inflammatory bowel disease. J Clin Gastroenterol 200336111–119. [DOI] [PubMed] [Google Scholar]
  • 16.Gionchetti P, Rizzello F, Helwig U.et al Prophylaxis of pouchitis onset with probiotic therapy: a double blind, placebo controlled trial. Gastroenterology 20031241202–1209. [DOI] [PubMed] [Google Scholar]
  • 17.Furrie E, Macfarlane S, Kennedy A.et al Synbiotic therapy (Bifidobacterium longum/Synergy 1) initiates resolution of inflammation in patients with active ulcerative colitis: a randomised controlled pilot trial. Gut 200554242–249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Hold G L, Pryde S E, Russell V J.et al Assessment of microbial diversity in human colonic samples by 16S rDNA sequence analysis. FEMS Microbiol Ecol 20023933–39. [DOI] [PubMed] [Google Scholar]
  • 19.Eckburg P B, Bik E M, Bernstein C N.et al Diversity of the human intestinal microbial flora. Science 20053081635–1638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wilson K H, Blitchington R B. Human colonic biota studied by ribosomal DNA sequence analysis. Appl Environ Microbiol 1996622273–2278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Schloss P D, Handelsman J. Metagenomics for studying unculturable microorganisms: cutting the Gordian knot. Genome Biol 20056229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tringe S G, von Mering C, Kobayashi A.et al Comparative metagenomics of microbial communities. Science 2005308554–557. [DOI] [PubMed] [Google Scholar]
  • 23.Hopkins M J, Sharp R, Macfarlane G T. Age and disease related changes in intestinal bacterial populations assessed by cell culture, 16S rRNA abundance, and community cellular fatty acid profiles. Gut 200148198–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hopkins M J, Macfarlane G T, Furrie E.et al Characterisation of intestinal bacteria in infant stools using real‐time PCR and northern hybridisation analyses. FEMS Microbiol Ecol 20055477–85. [DOI] [PubMed] [Google Scholar]
  • 25.Manichanh C, Rigottier‐Gois L, Bonnaud E.et al Reduced diversity of faecal microbiota in Crohn's disease revealed by a metagenomic approach. Gut 200655205–211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Swidsinski A, Ladhoff A, Pernthaler A.et al Mucosal flora in inflammatory bowel disease. Gastroenterology 200212244–54. [DOI] [PubMed] [Google Scholar]
  • 27.Swidsinski A, Weber J, Loening‐Baucke V.et al Spatial organization and composition of the mucosal flora in patients with inflammatory bowel disease. J Clin Microbiol 2005433380–3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lay C, Sutren M, Rochet V.et al Design and validation of 16S rRNA probes to enumerate members of the Clostridium leptum subgroup in human faecal microbiota. Environ Microbiol 20057933–946. [DOI] [PubMed] [Google Scholar]
  • 29.Rigottier‐Gois L, Rochet V, Garrec N.et al Enumeration of Bacteroides species in human faeces by fluorescent in situ hybridisation combined with flow cytometry using 16S rRNA probes. Syst Appl Microbiol 200326110–118. [DOI] [PubMed] [Google Scholar]
  • 30.Fite A, Macfarlane G T, Cummings J H.et al Identification and quantitation of mucosal and faecal desulfovibrios using real time polymerase chain reaction. Gut 200453523–529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Huijsdens X W, Linskens R K, Mak M.et al Quantification of bacteria adherent to gastrointestinal mucosa by real‐time PCR. J Clin Microbiol 2002404423–4427. [DOI] [PMC free article] [PubMed] [Google Scholar]

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