Journal Title: Frontiers in Microbiology
ISSN: 1664-302X (Online)
Publisher: Frontiers Media S.A.
LCC Subject Category: Science: Microbiology
Country of publisher: Switzerland
Language of fulltext: English
Full-text formats available: PDF, HTML, ePUB, XML
Tatsuhiko eHoshino (Japan Agency for Marine-Earth Science and Technology)
Tatsuhiko eHoshino (Japan Agency for Marine-Earth Science and Technology (JAMSTEC))
Fumio eInagaki (Japan Agency for Marine-Earth Science and Technology)
Fumio eInagaki (Japan Agency for Marine-Earth Science and Technology (JAMSTEC))
Abstract | Full Text
To obtain a better understanding of metabolically active microbial communities, we tested a molecular ecological approach using poly(A) tailing of environmental 16S rRNA, followed by full-length complementary DNA (cDNA) synthesis and sequencing to eliminate potential biases caused by mismatching of PCR primer sequences. The RNA pool tested was extracted from marine sediments of the Yonaguni Knoll IV hydrothermal field in the southern Okinawa Trough. The sequences obtained using the ploy(A) tailing method were compared statistically and phylogenetically with those obtained using conventional reverse transcription-polymerase chain reaction (RT-PCR) with published domain-specific primers. Both methods indicated that Deltaproteobacteria are predominant in sediment (>85% of the total sequence read). The poly(A) tailing method indicated that Desulfobacterales were the predominant deltaproteobacteria, while most of the sequences in libraries constructed using RT-PCR were derived from Desulfuromonadales. This discrepancy may have been due to low coverage of Desulfobacterales by the primers used. A comparison of library diversity indices indicated that the poly(A) tailing method retrieves more phylogenetically diverse sequences from the environment. The four archaeal 16S rRNA sequences that were obtained using the poly(A) tailing method formed deeply branching lineages that were related to Candidatus Parvarchaeum and the Ancient Archaeal Group. These results clearly demonstrate that poly(A) tailing followed by cDNA sequencing is a powerful and less biased molecular ecological approach for the study of metabolically active microbial communities.