Trillions of tiny microbes and bacteria live in your gut, each with their own set of genes. These gut microbes can have both beneficial and harmful effects on your health, from protecting you against inflammation to causing life-threatening infections. To keep out pathogens yet encourage the growth of beneficial microbes, scientists have been trying to find ways to target specific microbial genes.
The team is interested in better understanding how microbes colonize the gut. They want to identify the genes that help microbes pass through the stomach's harsh environment and survive in the lower gastrointestinal tract.
"Until now, this has not been an easy feat," explains the senior investigator. "Most microbes in the gut have evolved from related species, so they share many common genes. It's difficult to single out the genes that actually influence a microbe's ability to survive in the gut environment."
A new study published in the scientific journal PLOS Computational Biology found a new approach to identify the genes that may be important to help microbes live successfully in the human gut.
The microbes that colonize the human body can be difficult to study using traditional experimental methods, and not merely due to their sheer number. Given that scientists lack the tools to grow and study many microbe species in the lab, identifying their genes is labor- and time-intensive.
New computational methods and DNA sequencing provide a solution to determine which microbes are usually present in a person's gut, and what genes are in the microbes' genomes. However, the researchers at Gladstone showed that just looking at the genes shared by gut microbes, without accounting for the microbes' common ancestry, can lead to many false discoveries.
To avoid similar pitfalls, they found a novel approach to address the issue. Authors applied a technique called phylogenetic linear modeling, which has been often used in ecology, but rarely in genomics.
"With this method, we use information from an evolutionary tree that maps out the historical relationship between different species," explained the author. "We were the first to directly apply this method to metagenomics data, which comes from the collective genetic material from the microbes present in the human body."
The team used this approach to analyze public data from hundreds of individuals in industrialized countries. As a result, researchers found thousands of genes across different species that are prevalent in the gut, including many novel candidates as well as processes known to contribute to fitness of gut bacteria, such as acid tolerance in Bacteroidetes and sporulation in Firmicutes.. They also looked for--and found--genes in microbes that are actually more prevalent in the gut than in other parts of the body, suggesting that these genes may be specific to this environment. The researchers believe the genes they identified may help microbes colonize the gut, for example, by allowing microbes to survive in acidic environments, such as the stomach.
In addition, the scientists used the same technique to compare gut microbes in health versus disease. They found genes that are associated with bacteria that are more prevalent in patients with Crohn's disease than in healthy patients.
"In Crohn's disease, some bacteria with anti-inflammatory properties seem to be depleted," said the author. "If we can identify genes that improve gut colonization specifically in people with Crohn's, then down the road, we could potentially help treat patients by engineering new versions of these anti-inflammatory bacteria that would survive better in that environment."
The new computational approach developed by the researchers could lead to the development of new therapies to maintain or improve gut health.
"If we want to target individual microbial genes, we first need to understand the role they play in colonizing the gut," said the author. "This could yield opportunities to design better probiotics or prevent invasion of the gut by harmful pathogens like C. difficile."
This method leverages ideas from many fields, including bioinformatics, microbial ecology and evolution, biochemistry, biostatistics, and the study of the human microbiome. It can also be applied to identify genes associated with microbes in other environments besides the human gut.
"Our study shows that by using methods that account for the evolutionary relationship between microbes, we can predict genes that might be important in a particular environment with much greater accuracy than standard models allow," said the author. "Our hope is that other scientists will realize they can get so much more out of the data they already have by using our approach."
Researchers are now working to develop a web tool that will allow other academics--particularly wet lab biologists who might not have the required in-house expertise--to upload their own data and use this new computational technique to obtain helpful results.
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