title: Automated design of probes for rRNA-targeted fluorescence in situ hybridization reveals the advantages of using dual probes for accurate identification.
abstract: Fluorescence in situ hybridization (FISH) is a common technique for identifying cells in their natural environment and is often used to complement next-generation sequencing approaches as an integral part of the full-cycle rRNA approach. A major challenge in FISH is the design of oligonucleotide probes with high sensitivity and specificity to their target group. The rapidly expanding number of rRNA sequences has increased awareness of the number of potential nontargets for every FISH probe, making the design of new FISH probes challenging using traditional methods. In this study, we conducted a systematic analysis of published probes that revealed that many have insufficient coverage or specificity for their intended target group. Therefore, we developed an improved thermodynamic model of FISH that can be applied at any taxonomic level, used the model to systematically design probes for all recognized genera of bacteria and archaea, and identified potential cross-hybridizations for the selected probes. This analysis resulted in high-specificity probes for 35.6% of the genera when a single probe was used in the absence of competitor probes and for 60.9% when up to two competitor probes were used. Requiring the hybridization of two independent probes for positive identification further increased specificity. In this case, we could design highly specific probe sets for up to 68.5% of the genera without the use of competitor probes and 87.7% when up to two competitor probes were used. The probes designed in this study, as well as tools for designing new probes, are available online (http://DECIPHER.cee.wisc.edu).
authors.affiliation: Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA Systems Biology Theme, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA eswright@wisc.edu.
authors.forename: Erik S
authors.initials: ES
authors.lastname: Wright
authors.affiliation: Program in Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
authors.forename: L Safak
authors.initials: LS
authors.lastname: Yilmaz
authors.affiliation: Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Corcoran
authors.affiliation: Department of Environmental Engineering, Bahcesehir University, Istanbul, Turkey.
authors.forename: Hatice E
authors.initials: HE
authors.lastname: Ökten
authors.affiliation: Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Noguera
mesh_terms: D001331:Automation; D001419:Bacteria / Q000145:classification / Q000235:genetics* / Q000302:isolation & purification; D039301:Computers, Molecular; D017931:DNA Primers / Q000737:chemistry / Q000235:genetics; D015342:DNA Probes / Q000737:chemistry* / Q000235:genetics; D004269:DNA, Bacterial / Q000235:genetics*; D017404:In Situ Hybridization, Fluorescence / Q000295:instrumentation / Q000379:methods; D012335:RNA, Ribosomal / Q000235:genetics*
chemical_list: D017931:DNA Primers; D015342:DNA Probes; D004269:DNA, Bacterial; D012335:RNA, Ribosomal