Compositions and methods for identifying and modifying carbonaceous compositions

• US 10,358,660 B2
• Filed: 01/03/2018
• Issued: 07/23/2019
• Est. Priority Date: 06/16/2010
• Status: Expired due to Fees

• Current Assignee: Taxon Biosciences, Inc. (Evogene Ltd)
• Original Assignee: Taxon Biosciences, Inc. (Evogene Ltd)
• Inventors: Ashby, Matthew, Wood, Ladonna, Lidstrom, Ulrika, Clarke, Christine, Gould, Alison, Strapoc, Dariusz, Lambo, Adewale J., Huizinga, Bradley James
• Primary Examiner(s): Dines, Karla A
• Application Number:
  US15/861,252
• Publication Number:
  US 20180163234A1
• Time in Patent Office: 566 Days
• Field of Search: 506 7
• CPC Class Codes: C09K 8/582 characterised by the use of bacteria
• CPC Class Codes: C12N 1/20 Bacteria; Culture media therefor
• CPC Class Codes: C12P 5/023 Methane
• 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
• CPC Class Codes: E21B 43/16 Enhanced recovery methods for obtaining hydrocarbons
• CPC Class Codes: E21B 43/295 Gasification of minerals, e.g. for producing mixtures of combustible gases E21B43/243 takes precedence
• CPC Class Codes: Y02E 50/30 Fuel from waste, e.g. synthetic alcohol or diesel
• CPC Class Codes: Y02P 20/10 Process efficiency

Abstract

This invention generally relates to natural gas and methylotrophic energy generation, bio-generated fuels and microbiology. In alternative embodiments, the invention provides nutrient amendments and microbial compositions, e.g., consortia, that are both specifically optimized to stimulate methanogenesis, or for “methylotrophic” or other conversions. In alternative embodiments, the invention provides methods to develop nutrient amendments and microbial compositions that are both specifically optimized to stimulate methanogenesis in a given reservoir. The invention also provides methods for the evaluation of potentially damaging biomass formation and scale precipitation resulting from the addition of nutrient amendments. In other embodiments, the invention provides methods for simulating biogas in sub-surface conditions using a computational model.

Claims

1. A method of enhancing a biochemical process, the method comprising:

preparing a synthetic consortium by;

(i) obtaining two or more samples from at least two different sources of biogenic material, wherein each sample comprises a plurality of microbes;

(ii) determining a microbial composition of each sample, wherein an abundance of each observed microbe is recorded for each sample;

(iii) performing a correlation analysis of the abundances among microbes in the samples;

(iv) identifying at least two microbes from among the plurality of microbes, wherein the abundance correlation between the at least two microbes is greater than to other microbes in the samples; and

(v) combining purified isolates of the at least two microbes to form the synthetic consortium;

adding the synthetic consortium to a substrate comprising plant matter, wherein the abundances of the at least two microbes in the synthetic consortium are different than natural abundances of the at least two microbes in the substrate;

wherein the at least two microbes participate in a common metabolic pathway of the biochemical process; and

wherein the synthetic consortium increases a rate of the biochemical process of the plant matter relative to a rate of the biochemical process in absence of the synthetic consortium.

2. The method of claim 1, wherein the at least two microbes of the synthetic consortium are not native to the plant matter.

3. The method of claim 1, wherein adding the synthetic consortium to the plant matter supplements a native population of microbes with the at least two microbes of the synthetic consortium.

4. The method of claim 3, further comprising introducing a nutrient mix to the native population with the synthetic consortium, wherein the nutrient mix is added in a single bolus, a continuous process, or a pulsed process.

5. The method of claim 4, wherein the nutrient mix is designed to decrease an amount of native microbes that negatively affect the biochemical process.

6. The method of claim 4, wherein the nutrient mix comprises phosphorus, sulfur, nitrogen, potassium, sodium, chlorine, or a combination thereof.

7. The method of claim 1, wherein the synthetic consortium is a microbial additive to a growth medium.

8. The method of claim 1, wherein the synthetic consortium further comprises at least one additional microbe, and wherein a natural abundance of the at least one additional microbe in the substrate is not correlated with the natural abundances of the at least two microbes.

9. The method of claim 1, wherein the synthetic consortium comprises at least six different microbe strains obtained from purified cultures.

10. The method of claim 1, wherein the at least two microbes are bacteria or archaea.

11. The method of claim 1, wherein the biochemical process transforms the plant matter through a biochemical reaction.

12. The method of claim 1, wherein the plant matter is nutrient deficient.

13. The method of claim 1, wherein the synthetic consortium is selected for growth and metabolic performance under selected environmental conditions.

14. The method of claim 1, wherein the at least two microbes are selected to perform complementary steps of the metabolic pathway.

15. The method of claim 1, further comprising characterizing the plant matter.

16. The method of claim 1, wherein the at least two microbes comprises a first microbe and a second microbe, and an amount of the first microbe relative to an amount of the second microbe in the synthetic consortium is different than the natural abundance of the first microbe relative to the natural abundance of the second microbe in the substrate.

17. The method of claim 1, wherein performing the correlation analysis comprises determining a correlation of the abundances of the microbes of the plurality of microbes with an environmental parameter, wherein the environmental parameter comprises pH, salinity, or temperature.

18. The method of claim 1, wherein determining a microbial composition of each sample comprises genetic sequencing.

19. The method of claim 1, wherein determining the microbial composition of each sample comprises determining DNA sequences of at least a portion of 16S rRNA genes present in each sample and comparing the DNA sequences to a database.

20. The method of claim 1, wherein determining the microbial composition of each sample comprises determining a cell count of each microbe of the plurality of microbes.

21. The method of claim 1, wherein identifying the at least two microbes is an integrated process.

22. The method of claim 1, wherein performing the correlation analysis comprises use of hierarchical clustering algorithms.

23. A method of enhancing a biochemical process, the method comprising:

preparing a synthetic consortium by;

(i) obtaining two or more samples from at least two different sources of biogenic material, wherein each sample comprises a plurality of microbes;

(ii) determining a microbial composition of each sample, wherein an abundance of each observed microbe is recorded for each sample;

(iii) performing a correlation analysis of the abundances of microbes in the samples;

(iv) identifying at least two microbes from among the plurality of microbes, wherein the abundance correlation between the at least two microbes is greater than to other microbes in the samples; and

(v) combining purified isolates of the at least two microbes to form the synthetic consortium;

wherein abundances of the identified microbes in the synthetic consortium are different than the abundances recorded for each sample; and

wherein the at least two microbes participate in a common metabolic pathway of the biochemical process, such that, when added to a native microbial community of a substrate, the synthetic consortium increases a rate of the biochemical process of the substrate relative to a rate of the biochemical process in absence of the synthetic consortium.

24. The method of claim 23 wherein the substrate comprises one or more of organic matter, plant matter, or minerals.

25. The method of claim 23, wherein the at least two microbes of the synthetic consortium are not members of the native microbial community.

26. A method of enhancing a biochemical process, the method comprising:

adding a composition comprising a synthetic consortium to a nutrient-deficient substrate comprising plant matter to supplement a native population of microbes, wherein the synthetic consortium comprises at least two microbes, and abundances of the at least two microbes in the synthetic consortium are different than natural abundances of the at least two microbes in the nutrient-deficient substrate, the synthetic consortium being prepared by;

(i) obtaining two or more samples from sources of biogenic material, each sample comprising a plurality of microbes;

(ii) determining a microbial composition of each sample by genetic sequencing, wherein an abundance of each observed microbe is recorded for each sample;

(iii) performing a correlation analysis of the abundances among microbes in the samples according to an algorithm;

(iv) identifying the at least two microbes from among the plurality of microbes, wherein the abundance correlation between the at least two microbes is greater than to other microbes in the samples, and the at least two microbes are correlated with an environmental parameter associated with the two or more samples; and

(v) combining cultures of the at least two microbes to form the synthetic consortium;

wherein the at least two microbes participate in a common metabolic pathway of the biochemical process and are selected to perform complementary steps of the metabolic pathway;

wherein the synthetic consortium increases a rate of the biochemical process of the plant matter relative to a rate of the biochemical process in absence of the synthetic consortium; and

wherein the synthetic consortium is a microbial additive selected for growth and metabolic performance under selected environmental conditions.