To understand the metabolic pathway, physiological process, genomic
structure, and adaptation of microbial communities in different environments in the Red
Sea

El Dorry, Hamza

KAUST Repository (King Abdullah University of Science and Technology)

Red Sea Research Center SymposiumSession Topic: Marine Microbial EcologySession Leader: Prof. Ulrich StinglHamza El Dorry, AUC http://www.aucegypt.edu/research/jameel/people/Pages/HamzaElDorry.aspxTitle:  The  Red  Sea  Microbiome  project:  Metagenomics  analysis  of  the  microbial communities in the Red Sea.  Abstract:  To  understand  the  metabolic  pathway,  physiological  process,  genomic structure, and adaptation of microbial communities in different environments in the Red Sea, regional team of scientists, from the American University in Cairo and KAUST, has initiated the ‘Red Sea Microbiome Project to establish a metagenomics database of this semi-enclosed and geologically unique tropical sea. The first metagenomic data set was established for the Atlantis II  basin.  This dataset is called the Atlantis II  Basin Water Column (ATIIBC), which includes different convective layers of the hot brine, and the  water  column  overlying  the  brine  pool.   Using  454  GS  FLX  Titanium-based metagenomic sequencing approach, we generated, and computationally analyzed a total  of  2.4  gigabases  of  sequence  from samples  obtained  from the  ATIIBC.  This magnitude of sequence coverage allowed a comprehensive metagenomic analysis, not just between the different depths of ATIIBC, but also between the ATIIBC and other environmentally distinct marine metagenomic vertical zonation studies. The extent of similarities between the ATCIIBC metagenome data set and those available publicly was performed by similarity searches against the GenBank databases including non-redundant  protein  sequence  database  (nr),  nucleotide  sequence  database  (nt), environmental  protein  sequence  (env_nr),  and  environmental  nucleotide  sequence (env_nt). All the similarity searches were in agreement with an overall trend in matched versus non-matched sequences; in the non-surface samples a higher number of hits with  no  match  to  the  current  available  datasets  as  compared  with  the  50  meters surface metagenome dataset. In addition, our results show differential gene content in the different ATIIBC vertical zones in agreement with the environmental characteristics of such zone. Moreover, utilizing the ATIIBC and other available sea and ocean data sets  we  have  established  gene  content  hierarchical  clustering  that  have  identified unique gene profile pattern characteristic of the different zones.

The Red Sea Microbiome project: Metagenomics analysis of the microbial

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