CULTURED COLLECTION OF GUT MICROBIAL COMMUNITY

• US 20140045744A1
• Filed: 09/09/2013
• Published: 02/13/2014
• Est. Priority Date: 03/09/2011
• Status: Abandoned Application

• Current Assignee: Washington University In St Louis
• Original Assignee: Washington University In St Louis
• Inventors: Gordon, Jeffrey I., Faith, Jeremiah J., McNulty, Nathan P., Rey, Federico E., Goodman, Andrew, Kallstrom, George, Ridaura, Vanessa K.
• Application Number:
  US14/022,000
• Publication Number:
  US 20140045744A1
• Time in Patent Office: Days
• US Class Current: 514/5.7
• CPC Class Codes: A01K 2227/105 Murine
• CPC Class Codes: A01K 2267/03 Animal model, e.g. for test or diseases
• CPC Class Codes: C12N 1/20 Bacteria; Culture media therefor
• CPC Class Codes: C12Q 1/025 for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics antimicrobial activity C12Q1/18
• CPC Class Codes: C12Q 1/04 Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor C12Q1/6897 takes precedence

Abstract

The present invention encompasses cultured collections of a gut microbial community, models comprising such cultures, and methods of use thereof.

Claims

1. A composition, the composition comprising (i) an in vitro cultured collection of a gut microbial community or (ii) a clonally arrayed culture collection of a gut microbial community.

2. The composition of claim 1, wherein the gut microbial community is from a human or a germfree mouse colonized with a gut microbial community or an arrayed culture collection of a gut microbial community.

3. The composition of claim 1, wherein the cultured microbial community was cultured on gut microbiota medium.

4. The composition of claim 1, wherein the cultured gut microbial community has (i) at least 60%, at least 70%, at least 80% or at least 90% of the order-level phylotopic composition of the original gut microbial community;

or (ii) at least 60%, at least 70%, at least 80% or at least 90% of the metagenome, transcriptome, or proteome composition of the original gut microbial community;

or (iii) at least 60%, at least 70%, at least 80% or at least 90% of the order-level phylotopic composition of the original gut microbial community and at least 60%, at least 70%, at least 80% or at least 90% of the metagenome, transcriptome, or proteome composition of the original gut microbial community.

5. The composition of claim 1, wherein the cultured gut microbial community has (i) at least 98.0% of the order-level phylotopic composition of the original gut microbial community;

or (ii) at least 98.0% of the metagenome, transcriptome, or proteome composition of the original gut microbial community;

or (iii) at least 98.0% of the order-level phylotopic composition of the original gut microbial community and at least 98.0% of the metagenome, transcriptome, or proteome composition of the original gut microbial community.

6. The composition of claim 4, wherein each member of the collection is assigned a barcode.

7. The composition of claim 1, wherein the clonally arrayed culture collection was prepared (i) without colony picking;

or (ii) using a most probable number (MPN) technique.

8. A method of determining the effect of a perturbation on a gut microbial community, the method comprising applying the perturbation to a cultured collection of a gut microbial community and determining the difference in the community before and after the application of the perturbation, wherein the difference in the cultured collection represents the effect of the perturbation on the original gut microbial community.

9. The method of claim 8, wherein the perturbation is a diet related perturbation, an environmental perturbation, a genetic perturbation or a pharmaceutical perturbation.

10. A method of specifically manipulating the abundance of a member of a gut microbiome of a host to a target level by changing the diet of the host, the method comprising

(a) determining the linear coefficient for a particular gut microbiome member in relation to protein, fat, polysaccharide, and simple sugar;

(b) determining the amount of protein, fat, polysaccharide and sugar in a diet necessary to achieve the target level of the gut microbiome member based on the linear coefficients from (a); and

(c) feeding a diet to the host that contains the amount of protein, fat, polysaccharide and sugar determined in (b).

11. The method of claim 10, wherein the linear coefficient for a particular gut microbiome member for a particular food ingredient is determined using a gnotobiotic mouse model of a human gut microbiome community.

12. The method of claim 10, wherein the abundance of a member of a gut microbiome may be calculated with the equation

y_i=β

₀+β

_proteinX_protein+β

_{polysaccharide}X_{polysaccharide}+β

_sucroseX_sucrose+β

_fatX_fat

where y_i is the abundance of the member of the gut microbiome, β

₀ is the calculated parameter for the intercept, X is the amount in g/(kg of total diet) of the diet ingredient, and β

_protein, β

_{polysaccharide}, β

_sucrose, and Nat are the linear coefficients for a particular gut microbiome member for each of the diet components.

13. The method of claim 12, wherein β

₀ for a particular gut microbiome member for a particular food ingredient is determined using a gnotobiotic mouse model of a human gut microbiome community.

14. The method of claim 10, wherein the host is a rodent, a human, a livestock animal, a companion animal, or a zoological animal.

15. The method of claim 14, wherein the livestock animal is a pig, cow, horse, goat, sheep, llama, alpaca or swine.