title: Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.
abstract: A new approach, termed whole-community RNA amplification (WCRA), was developed to provide sufficient amounts of mRNAs from environmental samples for microarray analysis. This method employs fusion primers (six to nine random nucleotides with an attached T7 promoter) for the first-strand synthesis. The shortest primer (T7N6S) gave the best results in terms of the yield and representativeness of amplification. About 1,200- to 1,800-fold amplification was obtained with amounts of the RNA templates ranging from 10 to 100 ng, and very representative detection was obtained with 50 to 100 ng total RNA. Evaluation with a Shewanella oneidensis Deltafur strain revealed that the amplification method which we developed could preserve the original abundance relationships of mRNAs. In addition, to determine whether representative detection of RNAs can be achieved with mixed community samples, amplification biases were evaluated with a mixture containing equal quantities of RNAs (100 ng each) from four bacterial species, and representative amplification was also obtained. Finally, the method which we developed was applied to the active microbial populations in a denitrifying fluidized bed reactor used for denitrification of contaminated groundwater and ethanol-stimulated groundwater samples for uranium reduction. The genes expressed were consistent with the expected functions of the bioreactor and groundwater system, suggesting that this approach is useful for analyzing the functional activities of microbial communities. This is one of the first demonstrations that microarray-based technology can be used to successfully detect the activities of microbial communities from real environmental samples in a high-throughput fashion.
authors.affiliation: Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
authors.forename: Haichun
authors.initials: H
authors.lastname: Gao
authors.forename: Zamin K
authors.initials: ZK
authors.lastname: Yang
authors.forename: Terry J
authors.initials: TJ
authors.lastname: Gentry
authors.forename: Liyou
authors.initials: L
authors.lastname: Wu
authors.forename: Christopher W
authors.initials: CW
authors.lastname: Schadt
authors.forename: Jizhong
authors.initials: J
authors.lastname: Zhou
mesh_terms: D001419:Bacteria / Q000145:classification / Q000235:genetics / Q000378:metabolism; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism; D015982:Bias; D018533:Biomass; D019149:Bioreactors; D017931:DNA Primers; D017753:Ecosystem; D000431:Ethanol / Q000494:pharmacology; D005618:Fresh Water / Q000382:microbiology; D020869:Gene Expression Profiling; D009573:Nitrites / Q000378:metabolism; D021141:Nucleic Acid Amplification Techniques / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012329:RNA, Bacterial / Q000032:analysis* / Q000235:genetics; D012333:RNA, Messenger / Q000032:analysis* / Q000235:genetics; D014501:Uranium / Q000378:metabolism; D014876:Water Pollution
chemical_list: D001426:Bacterial Proteins; D017931:DNA Primers; D009573:Nitrites; D012329:RNA, Bacterial; D012333:RNA, Messenger; D000431:Ethanol; D014501:Uranium