| FUNCTIONAL PREDICTION OF MICROBIAL STRUCTURE IN EGYPTIAN POPULATION |
| Paper ID : 1072-YRC2022 |
| Authors |
|
Nada Mohamed Ezz El Deen *1, Amro Mohamed Said Hanora2, Nora Fahmy Mahmoud2, Samira Zakeer Hamad2, Mervat Ismail El Borhamy1, Mona Karem Amin2 1Misr International University 2Suez Canal University |
| Abstract |
| Human body consists mostly of microbes that colonize various sites in the human body and constitute over 100 trillion microbial cells. One of the heavily populated sites is the intestine harboring 10(11-12) cfu per gram of content. Gut microflora or microbiome encode a massive collection of gene set that is 150-fold larger than that of human genes. Microbiota plays an essential role in major vital metabolic processes playing role in certain disorders. Despite the relation between obesity and genetics, it has been shown that gut microbiota can affect obesity. It revealed the metabolic functions exerted by “obese microbiota” starting from extracting more energy from the diet, regulation of biologically active fatty acid tissue composition, and the modulation of gut-derived peptide secretion, and as a consequence has been linked to obesity. To define the nature of obese microbiome, research has been initiated worldwide to further understand previously undescribed genes and subsequently defines the relative abundance of the gut microbiome composition in obese population. However, the success of revealing species profiles does not necessarily end up in the translation into function and remains obscured how it affects the host. Consequently, investigating genes encoding proteins involved in certain metabolic pathways aims at analyzing and recording the functional activity related to such certain host state as obesity with the aid of sequencing techniques and novel computational applications independent of culturing. Thus by, offering further descriptive analysis to the relationship between the host and various disorders. |
| Keywords |
| Egypt, obesity, microbiota, sequencing |
| Status: Accepted (Oral Presentation) |
