Universal method for extracting nucleic acid molecules from a diverse population of one or more types of microbes in a sample

Disclosed herein are methods of extracting genetic material from a varied population of one or more types of microbes in a sample. Microbes can be prokaryotes or eukaryotes and may include bacteria, archaea, fungi, protozoa, helminths, parasites, viruses, phages, and many others. Extraction may be from one sample and following identification may be via a molecular method such as qPCR, PCR, RFLP, SSCP, allele specific PCR, targeted sequencing, pull down sequencing, entire shotgun sequencing, or alternative procedures.

 

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BACKGROUND

 

 

Field of Invention

 

 
The present invention relates generally to genomic analysis and more particularly to a way of extracting and analyzing nucleic acid molecules out of a diverse population of microbes in a biological sample.
 

 

Background Details

 

 
Approximately 100 trillion microorganisms live in and on the human body significantly outnumbering the body’s approximately 10 trillion human cells. These generally harmless viruses, parasites and bacteria are called commensal or mutualistic organisms.Commensal and mutualistic organisms keep our bodies healthy in various ways. Together all of the microorganisms living in and on the body–commensal, mutualistic and pathogenic–are known as the microbiome and their equilibrium and associatedmetabolome is closely connected to an individual’s health status and vice-versa.
 

 
Advances in nucleic acid sequencing has created an chance to rapidly and correctly identify and profile the microbiome inhabiting the gut and varicose veins. The optimal flora also interacts with the host immune system in asynergistic way farther propagating its health advantages. The related metabolome of people can also be profiled either by a mass-spectrometry established system or using genomics-based metabolome modeling and flux-balance evaluation and used to make ahealthy metabolome profile. All these methodologies can be employed to dissect the complexity of microbial communities.
 

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