Structural and operational complexity of the Geobacter sulfurreducens genome.

TitleStructural and operational complexity of the Geobacter sulfurreducens genome.
Publication TypeJournal Article
Year of Publication2010
AuthorsQiu Y, Cho B-K, Park Y S, Lovley DR, Palsson BØ, Zengler K
JournalGenome research
Volume20
Issue9
Pagination1304-11
PubMed Date2010 Sep
ISSN1549-5469
KeywordsDNA-Directed RNA Polymerases, Genome, Bacterial, Geobacter, Operon, RNA, Messenger, Transcription Initiation Site
Abstract

Prokaryotic genomes can be annotated based on their structural, operational, and functional properties. These annotations provide the pivotal scaffold for understanding cellular functions on a genome-scale, such as metabolism and transcriptional regulation. Here, we describe a systems approach to simultaneously determine the structural and operational annotation of the Geobacter sulfurreducens genome. Integration of proteomics, transcriptomics, RNA polymerase, and sigma factor-binding information with deep-sequencing-based analysis of primary 5'-end transcripts allowed for a most precise annotation. The structural annotation is comprised of numerous previously undetected genes, noncoding RNAs, prevalent leaderless mRNA transcripts, and antisense transcripts. When compared with other prokaryotes, we found that the number of antisense transcripts reversely correlated with genome size. The operational annotation consists of 1453 operons, 22% of which have multiple transcription start sites that use different RNA polymerase holoenzymes. Several operons with multiple transcription start sites encoded genes with essential functions, giving insight into the regulatory complexity of the genome. The experimentally determined structural and operational annotations can be combined with functional annotation, yielding a new three-level annotation that greatly expands our understanding of prokaryotic genomes.

Alternate JournalGenome Res.
PubMed ID20592237

Location

Location

417 Powell-Focht Bioengineering Hall

9500 Gilman Drive La Jolla, CA 92093-0412

Contact Us

Contact Us

In Silico Lab:  858-822-1144

Wet Lab:  858-246-1625

FAX:   858-822-3120

Website Concerns: sbrgit@ucsd.edu

User Login