title: An analysis of the Sargasso Sea resource and the consequences for database composition.
abstract: BACKGROUND
  The environmental sequencing of the Sargasso Sea has introduced a huge new resource of genomic information. Unlike the protein sequences held in the current searchable databases, the Sargasso Sea sequences originate from a single marine environment and have been sequenced from species that are not easily obtainable by laboratory cultivation. The resource also contains very many fragments of whole protein sequences, a side effect of the shotgun sequencing method.These sequences form a significant addendum to the current searchable databases but also present us with some intrinsic difficulties. While it is important to know whether it is possible to assign function to these sequences with the current methods and whether they will increase our capacity to explore sequence space, it is also interesting to know how current bioinformatics techniques will deal with the new sequences in the resource.
  
  
  RESULTS
  The Sargasso Sea sequences seem to introduce a bias that decreases the potential of current methods to propose structure and function for new proteins. In particular the high proportion of sequence fragments in the resource seems to result in poor quality multiple alignments.
  
  
  CONCLUSIONS
  These observations suggest that the new sequences should be used with care, especially if the information is to be used in large scale analyses. On a positive note, the results may just spark improvements in computational and experimental methods to take into account the fragments generated by environmental sequencing techniques.
authors.affiliation: Protein Design Group, CNB-CSIC, Calle Darwin, Cantoblanco 28049 Madrid, Spain. mtress@cnio.es
authors.forename: Michael L
authors.initials: ML
authors.lastname: Tress
authors.forename: Domenico
authors.initials: D
authors.lastname: Cozzetto
authors.forename: Anna
authors.initials: A
authors.lastname: Tramontano
authors.forename: Alfonso
authors.initials: A
authors.lastname: Valencia
mesh_terms: D000595:Amino Acid Sequence; D001426:Bacterial Proteins / Q000235:genetics* / Q000378:metabolism*; D001483:Base Sequence; D030562:Databases, Protein; D005798:Genes, Bacterial / Q000235:genetics*; D014644:Genetic Variation; D016247:Information Storage and Retrieval / Q000379:methods*; D008386:Marine Biology / Q000379:methods*; D008969:Molecular Sequence Data; D009792:Oceans and Seas; D014871:Water Microbiology
chemical_list: D001426:Bacterial Proteins