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Published April 26, 2022 | Published
Journal Article Open

Using Molecular Tools to Understand Microbial Carbonates

Abstract

Here we review the application of molecular biological approaches to mineral precipitation in modern marine microbialites. The review focuses on the nearly two decades of nucleotide sequencing studies of the microbialites of Shark Bay, Australia; and The Bahamas. Molecular methods have successfully characterized the overall community composition of mats, pinpointed microbes involved in key metabolisms, and revealed patterns in the distributions of microbial groups and functional genes. Molecular tools have become widely accessible, and we can now aim to establish firmer links between microbes and mineralization. Two promising future directions include "zooming in" to assess the roles of specific organisms, microbial groups, and surfaces in carbonate biomineralization and "zooming out" to consider broader spans of space and time. A middle ground between the two can include model systems that contain representatives of important microbial groups, processes, and metabolisms in mats and simplify hypothesis testing. These directions will benefit from expanding reference datasets of marine microbes and enzymes and enrichments of representative microbes from mats. Such applications of molecular tools should improve our ability to interpret ancient and modern microbialites and increase the utility of these rocks as long-term recorders of microbial processes and environmental chemistry.

Additional Information

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Received: 11 March 2022 / Revised: 14 April 2022 / Accepted: 23 April 2022 / Published: 25 April 2022. This article belongs to the Special Issue Current and Future Perspectives in Microbial Carbonate Precipitation. The authors acknowledge the Center for Nanoscale Systems at Harvard University for providing facilities to perform the SEM/EDS analyses. This research was funded by The Simons Foundation Collaboration on the Origins of Life (SCOL) grant number 327126 to TB and the NASA 80NSSC20K0234 grant to TB. The APC was funded by the John V. Jarve MIT Internal Award to TB. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1745302 to EC. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation. Author Contributions: Conceptualization, E.M.C. and T.B.; writing—original draft preparation, E.M.C., M.J.B., J.G., J.H., K.R.M., E.J.S. and T.B.; writing—review and editing, E.M.C. and T.B.; visualization, E.M.C., E.J.S., M.J.B., J.G. and K.R.M.; supervision, T.B.; project administration, E.M.C. and T.B.; funding acquisition, T.B. and E.M.C. All authors have read and agreed to the published version of the manuscript. Data Availability Statement: Not applicable. The authors declare no conflict of interest.

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Created:
August 22, 2023
Modified:
October 24, 2023