ABSTRACT

Butanetriol and pentanetriol dibiphytanyl glycerol tetraethers (BDGTs and PDGTs, respectively) are recently identified classes of archaeal membrane lipids that are prominent constituents in anoxic subseafloor sediments. These lipids are intriguing, as they possess unusual backbones with four or five carbon atoms instead of the canonical three-carbon glycerol backbone. In this study, we examined the biosynthesis of BDGTs and PDGTs by the methanogen Methanomassiliicoccus luminyensis, the only available isolate known to produce these compounds, via stable isotope labeling with [methyl-13C]methionine followed by mass spectrometry analysis. We show that their biosynthesis proceeds from transfer(s) of the terminal methyl group of methionine to the more common archaeal membrane lipids, i.e., glycerol dibiphytanyl glycerol tetraethers (GDGTs). As this methylation targets a methylene group, a radical mechanism involving a radical S-adenosylmethionine (SAM) enzyme is probable. Over the course of the incubation, the abundance of PDGTs relative to BDGTs, expressed as backbone methylation index, increased, implying that backbone methylation may be related to the growth shift to stationary conditions, possibly due to limited energy and/or substrate availability. The increase of the backbone methylation index with increasing sediment age in a sample set from the Mediterranean Sea adds support for such a relationship.
IMPORTANCE Butanetriol and pentanetriol dibiphytanyl glycerol tetraethers are membrane lipids recently discovered in anoxic environments. These lipids differ from typical membrane-spanning tetraether lipids because they possess a non-glycerol backbone. The biosynthetic pathway and physiological role of these unique lipids are currently unknown. Here, we show that in the strain Methanomassiliicoccus luminyensis, these lipids are the result of methyl transfer(s) from an S-adenosyl methionine (SAM) intermediate. We observed a relative increase of the doubly methylated compound, pentanetriol dibiphytanyl glycerol tetraether, in the stationary phase of M. luminyensis as well as in the subseafloor of the Mediterranean Sea and thus introduced a backbone methylation index, which could be used to further explore microbial activity in natural settings.

INTRODUCTION

Microorganisms are among the most adaptable forms of life on Earth and occupy vastly contrasting environments, from ruminant guts to hydrothermal springs. Cell membranes, composed of amphiphilic lipids, play a critical role in maintaining microbial viability. Adjustment in the membrane lipid composition preserves its fluidity during changing environmental conditions, ensuring optimal efficacy for the cell. Membrane lipid modifications as a response to temperature, salinity, or pressure variability have been well documented (1). Recently, a few studies put forward energy or/and substrate limitation as another primordial driver for membrane lipid modifications (24). In addition to adaptation to environmental stresses, membrane lipid diversity is also dependent on the taxonomic affiliation of their producers. Notably, both archaeal and bacterial cell membranes consist primarily of intact polar lipids where glycerol backbones connect polar phosphatidic or glycosidic headgroups to aliphatic chains. Yet archaea uniquely produce glycerolipids with isoprenoid chains, notably the membrane-spanning glycerol dibiphytanyl glycerol tetraethers (GDGTs) (5, 6).
The diversity of archaeal membrane lipids observed in environmental samples is tremendous (7, 8). For many of them, we lack an understanding of the conditions of their biosynthesis, precluding direct links between specific archaeal membrane lipid structures and cell adaptation to environmental stress. For instance, lipids with additional methylation(s) in their aliphatic moieties have commonly been observed in archaeal strains and in the environment, but little is known about the conditions of their biosynthesis or their taxonomic origin (9). Recently, a different type of methylated archaeal tetraethers, the butanetriol and pentanetriol dibiphytanyl glycerol tetraethers (BDGTs and PDGTs, respectively), were discovered in a wide range of environments, including marine and estuarine sediments, sedimentary rocks, and peatlands (1015). Their structures, elucidated by means of mass spectrometry (MS) and nuclear magnetic resonance (NMR) (1012), are intriguing because glycerol, commonly used as lipid backbone by members of all domains of life, is replaced by a butanetriol or pentanetriol moiety.
The structural features, environmental distribution, and carbon isotopic composition of BDGTs and PDGTs hint toward production by anaerobic archaea, including methanogens (11, 15). This agrees with their predominance in the lipid inventory of Methanomassiliicoccus luminyensis, the only microbial isolate known to date to produce these compounds (16). Nevertheless, their function in the cell membrane remains poorly understood. Furthermore, the existence of non-glycerol-based membrane lipids questions the key role of glycerol phosphate in the initial phase of intact polar membrane lipid biosynthesis. Two alternative pathways have been proposed (1012): the biosynthesis of BDGTs and PDGTs could either involve a non-glycerol-phosphate metabolite made of four or five carbon atoms as backbone, where the lipid biosynthesis is initiated, or one or two additional methyl groups could be added at a later stage of biosynthesis to the glycerol backbone of regular GDGTs to form BDGTs and PDGTs, respectively.
In this study, we tested if BDGTs and PDGTs were the results of enzymatic methylation(s) of the glycerol backbone of GDGTs by incubation of pure culture of M. luminyensis with position-specific [methyl-13C]methionine. We further observed a relative increase of PDGTs in the stationary phase of M. luminyensis as well as in the subseafloor of the Mediterranean Sea and thus introduced a backbone methylation index (BMI), which could be used to further explore the energetic status and activity of microbial communities in natural settings.

RESULTS AND DISCUSSION

BDGT and PDGT biosynthesis is mediated by a methyl transfer from a methionine intermediate.

Methylation of biomolecules is a common biochemical reaction typically catalyzed by methyltransferases or radical S-adenosylmethionine (radical SAM) enzymes. Whether the reaction is catalyzed by a methyltransferase or a radical mechanism depends on the chemical reactivity of the substrate (17). If an enzymatic methylation is responsible for the production of BDGTs and PDGTs, it would require activation of an inert sp3 carbon, the methylene group located at the C-3 position of the glycerol backbone of GDGTs. Hence, a radical mechanism is most plausible. In lipid biosynthesis, such a radical methylation was shown to be responsible for the production of hopanoids methylated at their C-2 or C-3 position (18, 19). Recently, two studies showed the involvement of radical SAM enzymes in the biosynthesis of GDGTs in Sulfolobus acidocaldarius (20, 21), and a radical mechanism was previously postulated for the lipid biosynthesis of Methanothermobacter thermautotrophicus (22, 23). A radical SAM-mediated methylation of GDGTs was thus suggested by Coffinet et al. (11) to be involved in the biosynthesis of BDGTs and PDGTs, further supported by the presence of several radical SAM enzymes in the M. luminyensis genome.
To test whether BDGTs and PDGTs derive from methylation(s) of GDGTs, a pure culture of M. luminyensis was amended with [methyl-13C]methionine, the known precursor of radical SAM enzymes, and grown under optimal conditions (see details in Materials and Methods). A pure culture of M. luminyensis was grown in parallel under identical conditions but without addition of any labeled substrate as a control batch. Core lipid distribution was determined by ultrahigh-performance liquid chromatography–high-resolution mass spectrometry (UHPLC-HRMS). Both cultures exhibited similar profiles in agreement with the lipid distribution previously published (16). 13C-label incorporation was detected by inspection of the isotopologue distributions of GDGTs, BDGTs, and PDGTs (Fig. 1), that is, the relative abundance of the molecular ions containing a different number of 13C atoms for each compound of interest recorded by HRMS analysis. Comparison of the isotopologue distribution between the labeled batch and the control batch (Fig. 1) revealed incorporation of 13C in BDGT and PDGT molecular ions (Fig. 1D to G) during incubation with [methyl-13C]methionine, while GDGTs did not show any label incorporation (Fig. 1B and C). The isotopologue distribution observed for BDGTs (Fig. 1D) was shifted by one unit, consistent with the transfer of one 13C-methyl carbon to one glycerol backbone of GDGTs to form BDGTs. The isotopologue distribution of PDGTs was shifted by two units, consistent with the addition of two 13C-methyl groups (Fig. 1F).
FIG 1
FIG 1 [Methyl-13C]methionine-derived methyl group(s) are incorporated into BDGTs and PDGTs. (A) Extracted ion chromatogram (m/z 1302.3227, 1316.3380, and 1330.3540) of the lipid extract of M. luminyensis incubated with [methyl-13C]methionine and harvested during exponential phase. The following panels are zoom-ins to the isotopologue distribution of GDGT-0, BDGT-0, and PDGT-0 molecular ions, that is, the relative abundance of the molecular ions containing a different number of 13C atoms (from 0 to 5). (B and C) Isotopologue distribution of GDGT-0 molecular ion from the control incubation (B) and from the incubation with [methyl-13C]methionine (C). (D and E) Isotopologue distribution of BDGT-0 molecular ion from the control incubation (D) and from the incubation with [methyl-13C]methionine (E). (F and G) Isotopologue distribution of PDGT-0 molecular ion from the control incubation (F) and from the incubation with [methyl-13C]methionine (G). Note that the structure of PDGT-0 is putative and based on published literature (12). An alternative structure could involve two butanetriol backbones.
Tandem mass spectrometry was performed to examine the position where the 13C-labeled methyl group(s) was added. In the BDGT molecule (Fig. 2), incorporation of 13C was only observed in the isotopologue distribution of the butanetriol biphytanyl glycerol diether fragment (Fig. 2C), confirming that the 13C-methyl group was selectively added at the backbone. Contrary to the structure of BDGTs, the PDGT structure remains putative. Initial elucidation of the structure was published by Zhu et al. (12) based on tandem mass spectrometry analysis of a sediment sample from the Peru margin. MS2 spectra of the PDGTs in the incubation with [methyl-13C]methionine, as well as in the unlabeled control incubation (Fig. SA1 in the supplemental material), revealed diverging patterns compared to the original MS2 spectrum (12). Notably, absence of a fragment at m/z 1228 and presence of a fragment at m/z 1243 with an isotopologue distribution centered at the [M+1] ion in the incubation with [methyl-13C]methionine suggest an alternative structure for PDGTs where one methyl group would be added to each of the two lipid backbones instead of two methyl groups to the same glycerol moiety as previously hypothesized for PDGTs found in environmental samples (12) (Fig. SA1). To date, in environmental samples, as well as in M. luminyensis, concentration of PDGTs was too low to confirm these putative structures by NMR analysis. If this alternative structure were to be confirmed, the name of the lipid with an exact mass of 1,329.3467 Da in the M. luminyensis lipidome would have to be modified to butanetriol dibiphytanyl butanetriol tetraether (BDBT). In any case, the specific incorporation of methyl group(s) at the backbone(s) position observed in the present incubation provides direct evidence that BDGT and the putative PDGT compounds result from an enzymatic methylation of the common archaeal GDGT lipid, conceivably performed by a radical SAM enzyme.
FIG 2
FIG 2 Position-specific labeling of BDGTs is revealed by MS-MS experiment. (A) MS2 spectrum of [BDGT-0-H]+ obtained after isolation and subsequent fragmentation of the molecular ion of BDGT-0 by UHPLC-QTOF analysis of the total lipid extract of M. luminyensis after incubation with [methyl-13C]methionine. Each peak represents a fragment of the BDGT-0 molecule, and the characteristic ions are depicted in color. (B to D) Zoom-ins of the isotopologue pattern (i.e., the relative abundance of the ions with different numbers of 13C atoms) of the following characteristic fragment ions. (B) biphytanyl ion; (C) butanetriol biphytanyl glycerol ion; (D) glycerol dibiphytanyl ion.
The ability to produce BDGTs and PDGTs has, so far, only been observed in M. luminyensis; Becker et al. (16) suggested these lipids may be specific to the order Methanomassiliicoccales after screening 25 archaeal strains representing several archaeal phyla. In this study, we analyzed the lipid composition of another Methanomassiliicoccales representative, “Candidatus Methanogranum gryphiswaldense,” enriched from peat soil (24, 25) (see supplementary methods for details of the enrichment procedure). Absence of BDGTs and PDGTs in this enrichment was revealed by analysis of the acid-hydrolyzed lipid extract of its biomass (Fig. SA2). Interestingly, “Ca. Methanogranum gryphiswaldense” belongs to the family Methanomethylophilaceae, while M. luminyensis belongs to the family Methanomassiliicoccaceae. We therefore suggest that the radical SAM enzyme(s) responsible must be restricted to a limited number of archaeal taxa, including the family Methanomassiliicoccaceae.
An extended bioinformatics search relative to our previous paper (11) of the M. luminyensis genome for the radical SAM motif (protein family [Pfam] identifier pfam04055 and close homologs) identified 37 putative radical SAM enzymes. To further discriminate which gene could be responsible for backbone methylation of GDGTs, we performed a BLASTP search of these 37 proteins in the genomes of “Ca. Methanogranum gryphiswaldense” (25), as well as of the 25 strains previously shown to be devoid of BDGTs and PDGTs (16) (Fig. SA3). Seven radical SAM enzymes identified in M. luminyensis were found to share little homology, based on their E values, with proteins from the other 26 strains and are likely candidates to perform the backbone methylation (Table SA1). Interestingly, a BLASTP search of these seven proteins against the National Center for Biotechnology Information (NCBI) non-redundant protein sequence database revealed close homologues in genomes of some methanogenic archaea and anaerobic methane-oxidizing archaea and with members of “Candidatus Bathyarchaeaota” phylum (Fig. SA4). This phylogenetic distribution is in agreement with the BDGT distribution and isotopic composition observed in environmental samples so far (11, 13). Notably, Meador et al. (13) suggested, on the basis of the BDGT abundance patterns in relation to bathyarchaeotal 16S genes in sediment samples, that members of “Candidatus Bathyarchaeaota” are candidates for their production. This preliminary bioinformatic analysis will have to be complemented by microbial genetics once the genetic manipulation of a BDGT-producing microorganism has been developed.

Backbone methylation index as a potential proxy for energetic status and activity of microbial communities in the environment.

M. luminyensis biomass was harvested at two time points in the course of the incubation, during the exponential phase and during the stationary phase (Fig. 3A and B). An increase in the relative abundance of BDGTs and PDGTs in the stationary phase was observed in incubations with and without label addition (Table SA2). In the present incubations, we observed a decrease in the concentration of both the major carbon (acetate) and energy (methanol) sources (26) of M. luminyensis (Fig. SA5). This suggests that additional methylation of the membrane lipid backbone might be a response to limitation in energy or carbon substrate availability. Previous studies reported modification of the membrane lipid structures when energy or/and nutrients were scarce, notably via methylation mechanisms. For example, a methylation reaction converts cis-unsaturated fatty acids to cyclopropane derivatives in many bacteria once they reach the stationary growth phase (27). In the archaeal realm, studies on cultured species from the euryarchaeal, crenarchaeal, and thaumarchaeal phyla showed that the degree of cyclization of GDGTs was increasing when nutrient availability and/or energy supply were limited (24). However, secondary processes, in particular, pH modification, could also influence the lipid distribution in the membrane and cannot be ruled out at the moment. Other variables whose impact on the lipid distribution are currently not well understood, such as accumulation of metabolic waste products in batch experiments, could also warrant further investigation. Dedicated experiments using continuous cultivation in a chemostat could help to further constrain the environmental parameter(s) that are triggering backbone methylation (2, 4).
FIG 3
FIG 3 Backbone methylation index [(PDGTs/(BDGTs + PDGTs)] increases with growth stage of M. luminyensis. Growth curves of each batch were determined by regular measurement of methane production. (A) Growth curve of the control batches (n = 18); (B) growth curve of the batches incubated with [methyl-13C]methionine (n = 18). The black arrows in panels A and B indicate the time points when biomass was harvested for lipid analysis. (C) Correlation between the backbone methylation index and methane production in the control batches (gray symbols) and in the batches incubated with [methyl-13C]methionine (blue symbols) (n = 36).
Nevertheless, the substantial increase of methylated lipids observed in the stationary phase indicates a metabolic response to a change in the growth status of M. luminyensis that possibly could also be observed in sediments. We thus introduced the backbone methylation index (BMI) to express the change in methylation degree with change of growth status; the BMI corresponds to the relative proportion of PDGTs as fraction of the sum of BDGTs and PDGTs [PDGTs/(BDGTs + PDGTs)] (Fig. 3C). GDGTs were not included in the calculation because of their highly diverse sources in marine sediments (28), which would reduce the sensitivity to detecting responses of BDGT- and PDGT-producing archaea. BMI was then assessed in a set of marine sediment samples collected in the Mediterranean Sea that were previously investigated for their BDGT and PDGT content (11). An obvious variable that could affect BMI is sediment age because, with increasing age, the rate of microbial decomposition of organic matter decreases (29), and the proportion of microbial cells in stationary phase or dormancy increases (30). Indeed, BMI increases with the estimated age of the sediment (Fig. 4). The observed higher ratios of backbone methylation in the oldest, most energy-deprived sediment samples are therefore generally consistent with the hypothesis derived from our laboratory observations. Based on these preliminary observations in pure cultures and sediment samples, we propose that the herein introduced backbone methylation index could be used in natural settings to explore energetic status and growth activity of microbial communities along environmental gradients. Backbone methylation could serve to reduce membrane permeability to limit energy loss or could enhance the intact polar lipid stability, thus reducing maintenance energy requirements. To fully understand the environmental triggers and cellular processes responsible for backbone methylations will require further research, but this work opens new research avenues, notably for studies of the deep sedimentary biosphere.
FIG 4
FIG 4 Backbone methylation index increases with estimated sediment age (n = 35). Information on site location, sedimentation rate estimation, and lipid distribution can be found in Schmidt et al. (37) and Coffinet et al. (11).

Conclusions.

This study demonstrates that biosynthesis of BDGTs and PDGTs results from the enzymatic methylation of typical archaeal GDGT lipids in M. luminyensis. This methylation is likely catalyzed by radical SAM enzyme(s) specific to a small range of taxa, including some uncultured methanogens and Bathyarchaeotal strains commonly observed in subsurface sediments. We further observed an increase of the degree of backbone methylation during the stationary phase of the batch pure culture incubation as well as in relatively old marine subsurface sediments. Based on these preliminary observations, we propose a novel index, the BMI, which could be used to probe energetic status and activity of microbial communities in natural environments.

MATERIALS AND METHODS

Cultivation conditions of Methanomassiliicoccus luminyensis and “Candidatus Methanogranum gryphiswaldense.”

Pure cultures of M. luminyensis strain B10 (purchased at DSMZ) were grown in 100-mL batch cultures under an H2/CO2 (80:20, 100 kPa) atmosphere at 37°C using an anaerobic medium described by the DSMZ (protocol 1637) and modified after Kröninger et al. (26). Half of the medium was amended with 15% [methyl-13C]methionine and distributed in six 250-mL serum vials, while the nonamended medium was dispatched in six additional 250-mL serum vials. Each vial was inoculated with 10% (vol/vol) of a M. luminyensis culture in its exponential growth phase. Cell growth was monitored every 2 to 4 days by headspace CH4 measurements (supplementary methods in the supplemental material). Concentrations of acetate, methanol, and CH4, as well as stable carbon isotopic composition of CH4 and methanol, were regularly monitored in the course of the incubation (supplementary methods). Cell biomass was harvested in triplicate during exponential growth (16 days) and after reaching the stationary growth phase (28 days) by multiple 1-h-long centrifugation steps at 2,700 × g followed by 20 min at 14,000 × g in Eppendorf tubes.
Enrichment cultures of “Ca. Methanogranum gryphiswaldense” were grown in 20-mL batch cultures under a H2/CO2 (80:20, 200 kPa) atmosphere at 37°C (24, 25). Modified MpT1 medium (31) containing 50 μM methanol as electron acceptor was inoculated with 200 μL enrichment culture for 14 days until exponential growth phase (see details in the supplementary methods). Cell mass was harvested by centrifugation in Eppendorf tubes for 20 min at 13,000 × g.

Marine sediment sampling, total lipid extraction, and analysis.

Marine sediments were sampled in the Mediterranean Sea during the DARCSEAS cruises I and II onboard RV Meteor, cruise M84/1 (32), and RV Poseidon, cruise POS450 (33), respectively. Total lipid extracts were obtained following a modified Bligh and Dyer extraction (34) and analyzed on a Dionex Ultimate 3000 RS UHPLC system coupled to a Bruker maXis ultrahigh-resolution quadrupole time of flight tandem mass spectrometer (Q-TOF MS) equipped with an electrospray ion source and a C18 reversed-phase column (ACE3, 3 μm, 2.1 by 150 mm; Advanced Chromatography Technologies Ltd.), as described previously (35). Details of the sampling and analytical procedures can be found in Coffinet et al. (11).

Core lipid extraction and analysis.

Freeze-dried cell pellets of M. luminyensis and “Ca. Methanogranum gryphiswaldense” were amended with combusted sand, and core lipids (CLs) were extracted by subjecting the mixture to a mild acid treatment as described before (16). Following acid hydrolysis, CLs were extracted three times for 20 min by sonication using a solvent mixture of dichloromethane (DCM)/MeOH (5:1 [vol/vol]). CL analysis of acid hydrolyzed biomass was performed on a Dionex Ultimate 3000 RS UHPLC system coupled to a Bruker maXis Q-TOF MS equipped with an APCI-II ion source (36). Lipids were separated using normal-phase chromatography with two coupled Acquity BEH amine columns (1.7 μm; 2.1 by 150 mm; Waters) maintained at 50°C. Detection of lipid isotopologues was performed in positive ionization mode scanning a mass range of 150 to 2,000 Da. All spectra acquired at a resolution of 27,000 were calibrated both externally with a loop-injected tuning mix at the end of each analysis and internally with a lock mass (m/z 922.0098), leading to typical mass errors <3 ppm. Lipids were identified by retention time and exact mass. All extracted mass chromatograms were calculated at ±0.01 Da. Diagnostic product ions for the investigation of intramolecular isotope distributions were obtained by systematic fragmentation in MS/MS mode using collision energies of 40 to 45 eV. Specific precursor ions were selected (10-Da isolation width) and sequentially fragmented in three time segments, 11.5 to 13.7 min for C-PDGT-0, 13.7 to 16.8 min for C-BDGT-0, and 16.8 to 18.0 min for C-GDGT-0.

Bioinformatics analysis.

Putative radical SAM proteins in M. luminyensis were identified based on homology to known radical SAM enzymes (pfam 04055) using Joint Genome Institute Integrated Microbial Genomes and Microbiomes (JGI IMG/M; https://img.jgi.doe.gov/). Successive Basic Local Alignment Search Tools (BLAST) homology searches of the candidate radical SAM enzymes identified in M. luminyensis were carried out against the complete “Ca. Methanogranum gryphiswaldense” genome (25) (metagenomics rapid annotation [MG-RAST] project ID 6666666.490459) and genomes of the 25 strains previously shown not to produce BDGTs (16).

Data availability.

The complete genome of “Ca. Methanogranum gryphiswaldense” can be accessed in NCBI (GenBank accession number CP076745) (https://www.ncbi.nlm.nih.gov/nuccore/2067799480). Lipid data of the samples collected in the Mediterranean Sea were deposited in the PANGAEA repository (https://doi.pangaea.de/10.1594/PANGAEA.907964).

ACKNOWLEDGMENTS

This work was funded by the Deutsche Forschungsgemeinschaft through the Cluster of Excellence “The Ocean Floor-Earth’s Uncharted Interface” (project 390741603). C.N. was supported by a fellowship from the Hanse-Wissenschaftskolleg (HWK) Institute for Advanced Study. T.U. acknowledges funding by the European Social Fund and the Ministry of Education, Science and Culture of Mecklenburg-Western Pomerania (Germany) within the scope of the project WETSCAPES (ESF/14-BM-A55-0032/16).
S.C., J.S.L., and K.-U.H. designed research; S.C., L.M., J.S.L., and C.N. performed research; M.W. and T.U. contributed new archaeal enrichment; S.C., C.N., and K.-U.H. wrote the paper; and all coauthors reviewed and edited the manuscript.
We thank four anonymous reviewers for their constructive comments. Jenny Wendt and Xavier Prieto are thanked for their help in the laboratory, as well as Ann Pearson and Alexis Gilbert for fruitful discussions in the initial stages of the study.

Supplemental Material

File (aem.02154-21-s0001.pdf)
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

1.
Hazel JR, Williams EE. 1990. The role of alterations in membrane lipid composition in enabling physiological adaptation of organisms to their physical environment. Prog Lipid Res 29:167–227.
2.
Hurley SJ, Elling FJ, Könneke M, Buchwald C, Wankel SD, Santoro AE, Lipp JS, Hinrichs K-U, Pearson A. 2016. Influence of ammonia oxidation rate on thaumarchaeal lipid composition and the TEX86 temperature proxy. Proc Natl Acad Sci USA 113:7762–7767.
3.
Evans TW, Könneke M, Lipp JS, Adhikari RR, Taubner H, Elvert M, Hinrichs K-U. 2018. Lipid biosynthesis of Nitrosopumilus maritimus dissected by lipid specific radioisotope probing (lipid-RIP) under contrasting ammonium supply. Geochim Cosmochim Acta 242:51–63.
4.
Zhou A, Weber Y, Chiu BK, Elling FJ, Cobban AB, Pearson A, Leavitt WD. 2020. Energy flux controls tetraether lipid cyclization in Sulfolobus acidocaldarius. Environ Microbiol 22:343–353.
5.
De Rosa M, Gambacorta A. 1988. The lipids of archaebacteria. Prog Lipid Res 27:153–175.
6.
Lombard J, López-García P, Moreira D. 2012. The early evolution of lipid membranes and the three domains of life. Nat Rev Microbiol 10:507–515.
7.
Schouten S, Hopmans EC, Pancost RD, Damsté JSS. 2000. Widespread occurrence of structurally diverse tetraether membrane lipids: evidence for the ubiquitous presence of low-temperature relatives of hyperthermophiles. Proc Natl Acad Sci USA 97:14421–14426.
8.
Liu X-L, Summons RE, Hinrichs K-U. 2012. Extending the known range of glycerol ether lipids in the environment: structural assignments based on tandem mass spectral fragmentation patterns. Rapid Commun Mass Spectrom 26:2295–2302.
9.
Knappy C, Barillà D, Chong J, Hodgson D, Morgan H, Suleman M, Tan C, Yao P, Keely B. 2015. Mono-, di- and trimethylated homologues of isoprenoid tetraether lipid cores in archaea and environmental samples: mass spectrometric identification and significance. J Mass Spectrom 50:1420–1432.
10.
Knappy CS, Yao P, Pickering MD, Keely BJ. 2014. Identification of homoglycerol- and dihomoglycerol-containing isoprenoid tetraether lipid cores in aquatic sediments and a soil. Org Geochem 76:146–156.
11.
Coffinet S, Meador TB, Mühlena L, Becker KW, Schröder J, Zhu Q-Z, Lipp JS, Heuer VB, Crump MP, Hinrichs K-U. 2020. Structural elucidation and environmental distributions of butanetriol and pentanetriol dialkyl glycerol tetraethers (BDGTs and PDGTs). Biogeosciences 17:317–330.
12.
Zhu C, Meador TB, Dummann W, Hinrichs K-U. 2014. Identification of unusual butanetriol dialkyl glycerol tetraether and pentanetriol dialkyl glycerol tetraether lipids in marine sediments. Rapid Commun Mass Spectrom 28:332–338.
13.
Meador TB, Bowles M, Lazar CS, Zhu C, Teske A, Hinrichs K-U. 2015. The archaeal lipidome in estuarine sediment dominated by members of the Miscellaneous Crenarchaeotal Group: archaeal lipid distributions in the WOR estuary. Environ Microbiol 17:2441–2458.
14.
Yang H, Xiao W, Słowakiewicz M, Ding W, Ayari A, Dang X, Pei H. 2019. Depth-dependent variation of archaeal ether lipids along soil and peat profiles from southern China: implications for the use of isoprenoidal GDGTs as environmental tracers. Org Geochem 128:42–56.
15.
Blewett J, Naafs BDA, Gallego-Sala AV, Pancost RD. 2020. Effects of temperature and pH on archaeal membrane lipid distributions in freshwater wetlands. Org Geochem 148:104080.
16.
Becker KW, Elling FJ, Yoshinaga MY, Söllinger A, Urich T, Hinrichs K-U. 2016. Unusual butane- and pentanetriol-based tetraether lipids in Methanomassiliicoccus luminyensis, a representative of the seventh order of methanogens. Appl Environ Microbiol 82:e00772-16.
17.
Broderick JB, Duffus BR, Duschene KS, Shepard EM. 2014. Radical S-adenosylmethionine enzymes. Chem Rev 114:4229–4317.
18.
Welander PV, Summons RE. 2012. Discovery, taxonomic distribution, and phenotypic characterization of a gene required for 3-methylhopanoid production. Proc Natl Acad Sci USA 109:12905–12910.
19.
Welander PV, Coleman ML, Sessions AL, Summons RE, Newman DK. 2010. Identification of a methylase required for 2-methylhopanoid production and implications for the interpretation of sedimentary hopanes. Proc Natl Acad Sci USA 107:8537–8542.
20.
Zeng Z, Liu X-L, Wei JH, Summons RE, Welander PV. 2018. Calditol-linked membrane lipids are required for acid tolerance in Sulfolobus acidocaldarius. Proc Natl Acad Sci USA 115:12932–12937.
21.
Zeng Z, Liu X-L, Farley KR, Wei JH, Metcalf WW, Summons RE, Welander PV. 2019. GDGT cyclization proteins identify the dominant archaeal sources of tetraether lipids in the ocean. Proc Natl Acad Sci USA 116:22505–22511.
22.
Galliker P, Grather O, Riimmler M, Fitz W, Arigoni D. 1998. New structural and biosynthetic aspects of the unusual core lipids from archaebacteria, p 447–458. In Kräutler B, Arigoni D, Golding BT (ed), Vitamin B12 and B12 proteins. Wiley-VCH Verlag GmbH, Weinheim, Germany.
23.
Eguchi T, Nishimura Y, Kakinuma K. 2003. Importance of the isopropylidene terminal of geranylgeranyl group for the formation of tetraether lipid in methanogenic archaea. Tetrahedron Lett 44:3275–3279.
24.
Schäfer F. 2019. Enrichment cultivation and physiological proteomics of Methanomassiliicoccales. MSc Thesis. University of Greifswald, Greifswald, Germany.
25.
Weil M, Hoff KJ, Meißner W, Schäfer F, Söllinger A, Wang H, Haguenau L, Kuss AW, Urich T. 2021. First full genome sequence of a Methanomassiliicoccales representative enriched from peat soil. Microbiol Resour Announc 10:e0044321.
26.
Kröninger L, Gottschling J, Deppenmeier U. 2017. Growth characteristics of Methanomassiliicoccus luminyensis and expression of methyltransferase encoding genes. Archaea 2017:2756573.
27.
Zhang Y-M, Rock CO. 2008. Membrane lipid homeostasis in bacteria. Nat Rev Microbiol 6:222–233.
28.
Zhu Q-Z, Elvert M, Meador TB, Becker KW, Heuer VB, Hinrichs K. 2021. Stable carbon isotopic compositions of archaeal lipids constrain terrestrial, planktonic, and benthic sources in marine sediments. Geochim Cosmochim Acta 307:319–337.
29.
Middelburg JJ. 1989. A simple rate model for organic matter decomposition in marine sediments. Geochim Cosmochim Acta 53:1577–1581.
30.
Hoehler TM, Jørgensen BB. 2013. Microbial life under extreme energy limitation. Nat Rev Microbiol 11:83–94.
31.
Söllinger A, Schwab C, Weinmaier T, Loy A, Tveit AT, Schleper C, Urich T. 2016. Phylogenetic and genomic analysis of Methanomassiliicoccales in wetlands and animal intestinal tracts reveals clade-specific habitat preferences. FEMS Microbiol Ecol 92:fiv149.
32.
Zabel M. 2011. RV METEOR, cruise report M84/L1, biogeochemistry and methane hydrates of the Black Sea; oceanography of the Mediterranean; shelf sedimentation and cold water carbonates. DFG Senatskommission für Ozeanographie c/o MARUM – Zentrum für Marine Umweltwissenschaften, Bremen, Germany.
33.
Heuer VB, Aiello IW, Elvert M, Goldenstein NI, Goldhammer T, Könneke M, Liu X, Pape T, Schmidt F, Wendt J, Zhuang G. 2014. Report and preliminary results of R/V POSEIDON cruise POS450, DARCSEAS II – deep subseafloor archaea in the western Mediterranean Sea: carbon cycle, life strategies, and role in sedimentary ecosystems, Barcelona (Spain) – Malaga (Spain), April 2 – 13, 2013. 305. Berichte, MARUM – Zentrum für Marine Umweltwissenschaften, Fachbereich Geowissenschaften, University of Bremen, Bremen, Germany.
34.
Sturt HF, Summons RE, Smith K, Elvert M, Hinrichs K-U. 2004. Intact polar membrane lipids in prokaryotes and sediments deciphered by high-performance liquid chromatography/electrospray ionization multistage mass spectrometry—new biomarkers for biogeochemistry and microbial ecology. Rapid Commun Mass Spectrom 18:617–628.
35.
Zhu C, Lipp JS, Wörmer L, Becker KW, Schröder J, Hinrichs K-U. 2013. Comprehensive glycerol ether lipid fingerprints through a novel reversed phase liquid chromatography–mass spectrometry protocol. Org Geochem 65:53–62.
36.
Becker KW, Lipp JS, Zhu C, Liu X-L, Hinrichs K-U. 2013. An improved method for the analysis of archaeal and bacterial ether core lipids. Org Geochem 61:34–44.
37.
Schmidt F, Koch BP, Goldhammer T, Elvert M, Witt M, Lin Y-S, Wendt J, Zabel M, Heuer VB, Hinrichs K-U. 2017. Unraveling signatures of biogeochemical processes and the depositional setting in the molecular composition of pore water DOM across different marine environments. Geochim Cosmochim Acta 207:57–80.

Information & Contributors

Information

Published In

cover image Applied and Environmental Microbiology
Applied and Environmental Microbiology
Volume 88Number 422 February 2022
eLocator: e02154-21
Editor: Gemma Reguera, Michigan State University

History

Received: 2 November 2021
Accepted: 18 December 2021
Accepted manuscript posted online: 22 December 2021
Published online: 22 February 2022

Permissions

Request permissions for this article.

Keywords

  1. archaea
  2. biomarkers
  3. lipid synthesis

Contributors

Authors

MARUM Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Present address: Sarah Coffinet, ECOBIO, CNRS/University of Rennes 1, Rennes, France.
Lukas Mühlena
MARUM Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
MARUM Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Micha Weil
Institute of Microbiology, University of Greifswald, Greifswald, Germany
Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
Institute of Microbiology, University of Greifswald, Greifswald, Germany
MARUM Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany

Editor

Gemma Reguera
Editor
Michigan State University

Notes

The authors declare no conflict of interest.

Metrics & Citations

Metrics

Note:

  • For recently published articles, the TOTAL download count will appear as zero until a new month starts.
  • There is a 3- to 4-day delay in article usage, so article usage will not appear immediately after publication.
  • Citation counts come from the Crossref Cited by service.

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. For an editable text file, please select Medlars format which will download as a .txt file. Simply select your manager software from the list below and click Download.

View Options

Figures and Media

Figures

Media

Tables

Share

Share

Share the article link

Share with email

Email a colleague

Share on social media

American Society for Microbiology ("ASM") is committed to maintaining your confidence and trust with respect to the information we collect from you on websites owned and operated by ASM ("ASM Web Sites") and other sources. This Privacy Policy sets forth the information we collect about you, how we use this information and the choices you have about how we use such information.
FIND OUT MORE about the privacy policy