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Lipid remodeling in Rhodopseudomonas palustris TIE‐1 upon loss of hopanoids and hopanoid methylation
Authors:C. Neubauer  N. F. Dalleska  E. S. Cowley  N. J. Shikuma  C.‐H. Wu  A. L. Sessions  D. K. Newman
Affiliation:1. Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA;2. Environmental Analysis Center, California Institute of Technology, Pasadena, CA, USA;3. Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA;4. Howard Hughes Medical Institute, Pasadena, CA, USA
Abstract:
The sedimentary record of molecular fossils (biomarkers) can potentially provide important insights into the composition of ancient organisms; however, it only captures a small portion of their original lipid content. To interpret what remains, it is important to consider the potential for functional overlap between different lipids in living cells, and how the presence of one type might impact the abundance of another. Hopanoids are a diverse class of steroid analogs made by bacteria and found in soils, sediments, and sedimentary rocks. Here, we examine the trade‐off between hopanoid production and that of other membrane lipids. We compare lipidomes of the metabolically versatile α‐proteobacterium Rhodopseudomonas palustris TIE‐1 and two hopanoid mutants, detecting native hopanoids simultaneously with other types of polar lipids by electrospray ionization mass spectrometry. In all strains, the phospholipids contain high levels of unsaturated fatty acids (often >80 %). The degree to which unsaturated fatty acids are modified to cyclopropyl fatty acids varies by phospholipid class. Deletion of the capacity for hopanoid production is accompanied by substantive changes to the lipidome, including a several‐fold rise of cardiolipins. Deletion of the ability to make methylated hopanoids has a more subtle effect; however, under photoautotrophic growth conditions, tetrahymanols are upregulated twofold. Together, these results illustrate that the ‘lipid fingerprint’ produced by a micro‐organism can vary depending on the growth condition or loss of single genes, reminding us that the absence of a biomarker does not necessarily imply the absence of a particular source organism.
Keywords:
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