title: Global profiling of Shewanella oneidensis MR-1: expression of hypothetical genes and improved functional annotations.
abstract: The gamma-proteobacterium Shewanella oneidensis strain MR-1 is a metabolically versatile organism that can reduce a wide range of organic compounds, metal ions, and radionuclides. Similar to most other sequenced organisms, approximately 40% of the predicted ORFs in the S. oneidensis genome were annotated as uncharacterized "hypothetical" genes. We implemented an integrative approach by using experimental and computational analyses to provide more detailed insight into gene function. Global expression profiles were determined for cells after UV irradiation and under aerobic and suboxic growth conditions. Transcriptomic and proteomic analyses confidently identified 538 hypothetical genes as expressed in S. oneidensis cells both as mRNAs and proteins (33% of all predicted hypothetical proteins). Publicly available analysis tools and databases and the expression data were applied to improve the annotation of these genes. The annotation results were scored by using a seven-category schema that ranked both confidence and precision of the functional assignment. We were able to identify homologs for nearly all of these hypothetical proteins (97%), but could confidently assign exact biochemical functions for only 16 proteins (category 1; 3%). Altogether, computational and experimental evidence provided functional assignments or insights for 240 more genes (categories 2-5; 45%). These functional annotations advance our understanding of genes involved in vital cellular processes, including energy conversion, ion transport, secondary metabolism, and signal transduction. We propose that this integrative approach offers a valuable means to undertake the enormous challenge of characterizing the rapidly growing number of hypothetical proteins with each newly sequenced genome.
authors.affiliation: BIATECH, 19310 North Creek Parkway, Suite 115, Bothell, WA 98011, USA. ekolker@biatech.org
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authors.lastname: Kolker
authors.forename: Alex F
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authors.lastname: Picone
authors.forename: Michael Y
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authors.lastname: Konstantinidis
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authors.lastname: Lipton
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authors.lastname: McCue
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authors.lastname: Monroe
authors.forename: Ljiljana
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authors.lastname: Pasa-Tolic
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authors.lastname: Pinchuk
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authors.lastname: Purvine
authors.forename: Margrethe H
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authors.lastname: Serres
authors.forename: Sasha
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authors.lastname: Tsapin
authors.forename: Brian A
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authors.lastname: Zakrajsek
authors.forename: Wenhong
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authors.forename: Jizhong
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authors.lastname: Zhou
authors.forename: Frank W
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authors.lastname: Larimer
authors.forename: Charles E
authors.initials: CE
authors.lastname: Lawrence
authors.forename: Monica
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authors.lastname: Riley
authors.forename: Frank R
authors.initials: FR
authors.lastname: Collart
authors.forename: John R
authors.initials: JR
authors.lastname: Yates
authors.forename: Richard D
authors.initials: RD
authors.lastname: Smith
authors.forename: Carol S
authors.initials: CS
authors.lastname: Giometti
authors.forename: Kenneth H
authors.initials: KH
authors.lastname: Nealson
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authors.lastname: Fredrickson
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authors.lastname: Tiedje
mesh_terms: D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D020411:Oligonucleotide Array Sequence Analysis; D016366:Open Reading Frames; D020543:Proteome / Q000032:analysis; D020592:Shewanella / Q000235:genetics* / Q000378:metabolism / Q000528:radiation effects
chemical_list: D020543:Proteome