Skip to main content
Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 1999 Feb;65(2):534–539. doi: 10.1128/aem.65.2.534-539.1999

Influence of Light Intensity on Methanotrophic Bacterial Activity in Petit Saut Reservoir, French Guiana

J F Dumestre 1,*, J Guézennec 2, C Galy-Lacaux 3, R Delmas 3, S Richard 4, L Labroue 1
PMCID: PMC91058  PMID: 9925579

Abstract

One year after impoundment in January 1994, methanotrophic bacteria in Petit Saut Reservoir (French Guiana) were active at the oxic-anoxic interface. This activity was revealed by the sudden extinction of diffusive methane emission (600 metric tons of CH4 · day−1 for the whole lake surface area, i.e., 360 km2). Lifting of inhibition was suspected. After reviewing the potential inhibitors of this physiological guild (O2, NH4+, sulfides) and considering the similarities with nitrifiers, we suggest that sunlight influenced the methanotrophic bacteria. On the basis of phospholipid analysis, only a type II methanotrophic community was identified in the lake. Both growth and methanotrophic activity of an enriched culture, obtained in the laboratory, were largely inhibited by illumination over 150 microeinsteins · m−2 · s−1. These results were confirmed on a pure culture of Methylosinus trichosporium OB3B. In situ conditions showed that water transparency was quite stable in 1994 and 1995 and that the oxycline moved steadily deeper until January 1995. Considering the mean illumination profile during this period, we showed that removal of methanotrophic growth inhibition could only occur below a 2-m depth. The oxycline reached this level in October 1994, allowing methanotrophic bacteria to develop and to consume the entire methane emission 4 months later.


Within the three past decades, methanotrophic bacterial guilds have been studied in the laboratory for industrial applications, and the major factors controlling their activity have been examined in detail in pure and mixed cultures (8, 20, 26, 32). These experiments contributed to the understanding of how methanotrophs operate in natural environments, such as termite mounds, lake water, sediments, and soils (7, 28, 35, 39). Most of the data set obtained in tropical or equatorial lakes concerned only measurements of methane emissions or concentrations (21, 22, 36, 38). Only a few works reported experimental determination of bacterial methane oxidation in such environments (19, 31). So we chose to develop such an approach for a new equatorial reservoir.

Petit Saut Dam was built on the Sinnamary River, by Electricité de France Company, in order to sustain the economic development of French Guiana. More than 360 km2 of equatorial rain forest was flooded. The anaerobic degradation of submerged organic matter rapidly induced strong emission of methane into the atmosphere (12). Because of the huge emission of reduced elements and the very little mixing by the wind, the oxygenated layer of the lake remained thin during the two first years.

The aim of this study was to determine the role played by methanotrophic bacteria in regulating methane emission and the factors controlling their growth in this equatorial medium.

MATERIALS AND METHODS

In situ measurements.

Since the dam has been closed, water analyses have been regularly performed at a floating station (Barge Petit Saut [BPS]) located 300 m upstream of the dam (35-m maximum depth). Sampling was performed and physical-chemical profiles were determined by means of a peristaltic pump fitted with silicone rubber tubing (7.9-mm inside diameter; Masterflex Ltd.). A septum located just before the pump head allowed the water to be sampled without gas stripping. The water was pumped at 800 ml · min−1, and the line was flushed for 3 min before any samples were taken.

Methane emission fluxes were measured at the surface of the lake in a floating stainless steel chamber (50 by 50 by 18 cm). The concentration of methane gas was determined in the chamber by gas chromatography analyses at time zero and 15, 30, and 60 min later. Before the samples were taken, the atmosphere in the chamber was mixed by connecting the chamber to the peristaltic pump in a closed circuit. The linear regression determined from the experimental points allowed the methane flux to be calculated. During each trial, fluxes were measured at four different sites (two were in the flooded forest, one was the BPS site, and one was above the former river bed) distributed over the whole lake, in order to evaluate an average total methane emission, expressed as moles of CH4 per square meter per day. The method used did, however, lead to an underestimation of the methane flux since the chamber reduced wind effects on surface roughness and transfer velocity.

Methane concentrations were determined by the headspace method. A 20-ml water sample was injected into a 57-ml glass flask which had been sealed with a Teflon septum and previously emptied with a vacuum pump. The methane concentration in the water was calculated after analyzing the headspace with a Hewlett Packard HP 5890 A gas chromatograph fitted with a flame ionization detector and a Poraplot Q semicapillary column. Details concerning the analysis conditions are described elsewhere (11).

The concentration of dissolved O2 was determined in situ with an OXY 196 Wissenschaftlich Technische Werkstatten (Weilheim, Germany)-specific probe. Ammonium ion was analyzed immediately after sampling by spectrophotometry with the Nessler reagent. Total sulfides were determined by the colorimetric method of Cline (5) in samples preserved with zinc acetate.

Illumination in the water column was measured with a LI-COR 1000 luxmeter (wavelengths integrated from 400 to 700 nm).

Transparency was assessed with a 33-cm-diameter white disk (Secchi disk). The average depth at which the disk disappeared from view was noted after three readings.

The actual methane consumption rate was measured to document the methanotrophic activity in the water column. For each depth, four 26-ml glass flasks, closed with a Teflon septum, were filled with lake water. Twenty-milliliter volumes of the water contained in two flasks were rapidly sampled to measure the initial methane concentration as described above. The two other glass flasks were incubated under in situ conditions for 1 h and the final methane concentration was measured. The difference between the two average measurements gives an estimation of the methane consumption rate in milligrams of CH4 per liter per hour. This determination was repeated three times at the BPS station in December 1995. The values were very similar over the whole lake. No abiotic methane disappearance was observed in samples preserved with thimerosal (BDH Chemicals Ltd., Poole, England), a chemical compound blocking bacterial enzyme activity in the same way mercuric chloride does.

Laboratory experiments.

Water samples were taken at the BPS site from around the oxycline in September 1995 for enrichment of their methanotrophic bacterial population. Ten-milliliter aliquots of water complemented with 10% glycerol were frozen at −18°C until required for enrichment. The samples were thawed and centrifuged three times to eliminate the glycerol carbon source. The resulting pellet was resuspended in 20 ml of nitrate mineral salt medium (41), buffered at pH 6.8, and incubated in a 250-ml glass Erlenmeyer flask at 30°C in darkness, with magnetic stirring (130 rpm). The headspace of the flask was filled with a methane-air atmosphere (50/50, vol/vol) complemented with 4 ml of CO2, to enhance the start of bacterial growth (17). The atmosphere was replaced every day and the bacteria were subcultured to obtain a large active bacterial biomass. A freeze-dried pure culture of Methylosinus trichosporium OB3B (purchased at the National Collections of Industrial and Marine Bacteria Ltd., Aberdeen, Scotland) was also resuscitated by the same method in order to perform control experiments.

Bacterial growth was monitored by spectrophotometry (Anthelie; Secomam, Domont, France) in a 1-cm cell (optical density [OD] measured at 540 nm).

Replicates of the bacterial enrichment were placed in a 30°C regulated incubator with different illumination intensities (from 10 to 1,100 microeinsteins · m−2 · s−1). The white light was delivered for 12 h a day (the day length in French Guiana) with two 400-W lamps (Phytoclaude; Claude, Paris, France). The emission spectrum is given in Fig. 1. The incident light was integrated from 400 to 700 nm by a LI-COR 189 luxmeter.

FIG. 1.

FIG. 1

Emission spectrum of the Phytoclaude lamp used to demonstrate the inhibitory effect of light on methanotrophic bacterial growth and activity.

The total methane concentration was monitored during the incubations by analyzing the flask’s headspace with a gas chromatograph fitted as described in the previous paragraph.

Phospholipid fatty acid (PLFA) analysis was performed on the enriched culture and on water taken directly from the lake, which had been freeze-dried after filtration on a Nuclepore polycarbonate membrane (0.22-μm pores, 47-mm diameter). Briefly, total lipids were extracted by a modified Bligh and Dyer extraction procedure (40). The extracted lipids were fractionated by silica column chromatography with dichloromethane, acetone, and methanol as eluants. The methanol fraction (polar lipids) was dried under a stream of nitrogen and submitted to acid methanolysis. Nonadecanoic acid was added before methanolysis as an internal standard. The resulting fatty acid methyl esters were resuspended in 50 μl of dichloromethane and analyzed by gas chromatography. The double bond positions in the monounsaturated fatty acids were determined by dimethyl disulfide derivatization (25). The double bond positions in the polyunsaturated fatty acids were determined after 4,4-dimethyloxazoline derivatization (10). Detailed procedures are reported elsewhere (16).

RESULTS AND DISCUSSION

In situ measurements.

Since the beginning of reservoir impounding, the anaerobic degradation of submerged organic matter caused the production of large quantities of reduced compounds. The bottom methane concentration increased until the filling was finished, i.e., in July 1995 (Fig. 2). After that time the bottom methane concentration evolved in a cyclic manner, with a maximum during the dry season. This phenomenon could be due to a variation in methane production or dilution by the huge amounts of rain in the wet season.

FIG. 2.

FIG. 2

Variation of total methane emission and methane concentrations in the water column (at depths of 0, 1, and 2 m and at the bottom), since the beginning of filling (day zero), in January 1994. d, day.

Average diffusive methane emission reached a maximum of 0.103 mol of CH4 · m−2 · d−1 (600 metric tons of CH4 · day−1 for the whole lake surface area) in February 1995 (Fig. 2) and then decreased suddenly, falling to a level close to zero. This phenomenon could be attributed not to a drop in production, since the bottom concentration was still increasing, but rather to the activation of methanotrophic populations present in the upper layers of the water column. The biological methane-oxidizing activity was directly demonstrated by measuring the actual methane consumption rate at the BPS site (Fig. 3). This vertical profile was obtained in December 1995 and showed that the methanotrophic activity was localized at the oxycline level, where methane and oxygen were both available in low but sufficient quantities. Sharp stratifications of this bacterial activity have already been shown to occur in aquatic environments (19, 30) and in sediments (6). The methanotrophic activity was assumed to act in a 1-m-thick stratum with a maximum activity of 0.275 mg of CH4 · liter−1 · h−1 in the middle of the stratum (4.5 m from the surface) and over a surface area of about 250 km2, at the oxycline (34). Considering that the methanotrophic activity was equally distributed across the lake, we obtained a total methane consumption of 825 metric tons of CH4 · day−1, which could explain the sudden drop to zero of the methane emission recorded in February 1995.

FIG. 3.

FIG. 3

Dissolved oxygen and methane profiles and methane consumption measured at the BPS site in December 1995. Values are in tenths.

Hypothesis of methanotrophic bacterial inhibition.

This sharp decrease in methane emission occurred more than 1 year after the beginning of filling, suggesting a long lag phase or inhibition by environmental factors. During preliminary measures realized in 1994, Gosse and Grégoire (13) demonstrated downstream of the dam a strong oxygen depletion due to methane oxidation. This phenomenon occurred only when bottom water masses (anaerobic with methane) and upper water masses (aerobic with methanotrophic bacteria) were evacuated simultaneously. When bottom water was discharged alone into the Sinnamary River, oxygen consumption was reduced. So, we hypothesized that methanotrophic bacteria were present and inhibited in the upper water layers of the lake during the first year of filling.

A few inhibitory factors have been well documented in the literature. In Petit Saut Lake, a marked gradient in oxygen concentrations has been observed a few centimeters or meters below the lake surface since the beginning of the filling phase (Fig. 3). Oxygen concentrations were sufficiently low to enable methanotroph development. So, the hypothesis of inhibition by excessive concentrations of dissolved oxygen was improbable (29).

The ammonium concentrations observed around the oxycline, at the BPS site (Table 1), were very low compared with the reported inhibitory concentrations, which range from 1,000 to 10000 μmol of NH4+ · liter−1 (1, 4). So, NH4+ could only have had only a trivial inhibitory effect in Petit Saut Lake in 1994.

TABLE 1.

Measurements of ammonium and sulfide at the BPS site on 28 May 1995a

Depth (m) Concn of:
Ammonium (μmol · liter−1) Sulfide (μg · liter−1)
0 37.07 ND
2 ND 10.68
5 40.37 139.2
7 ND 171.2
10 139.46 175.36
15 203.32 178.24
20 235.25 180.8
25 ND 185.28
32 476.37 188.48
a

The oxycline was located at a depth of 3 m. ND, not determined. 

Great amounts of sulfides were produced, and a maximum of 188 μg of sulfides S · liter−1 was measured at the bottom of the water column in May 1995 (Table 1). However, the sulfides could not attain the oxycline level in sufficiently high quantities, because they were totally consumed by phototrophic sulfur-oxidizing bacteria, located in the anaerobic zone, 1 or 2 m below the oxycline (9). So, the inhibitory effect of sulfur-containing compounds on methanotroph growth (1) can be also excluded.

Laboratory experiments.

Methanotrophic bacteria are genetically related to nitrifying bacteria (18). This second physiological guild has an ammonia monooxygenase (AMO) which is inactivated by light (15, 33), specifically in the near-UV region (300 to 375 nm) and in the blue region of the spectrum (400 to 475 nm). AMO and methane monooxygenase (MMO) are closely related by their substrate specificities, the structures of their active sites, and their sensitivities to inhibitors (1). As a consequence, we suspected light as a possible environmental factor able to influence methanotrophic guilds in the upper layers of the water column. So, the effect of light on methanotrophic growth was tested in the laboratory on enriched samples.

Methane-oxidizing bacteria contain unusual PLFAs in their membranes (2, 14, 23, 24, 37). On the basis of the PLFA analyses and the presence of 18:1ω8 acid, a biomarker for methanotrophs, only type II was present in our enrichments (Table 2). Moreover, it seemed to be widespread in the whole lake and in the Sinnamary River.

TABLE 2.

PLFA profiles determined on methanotrophic cultures and on a water sample from around the BPS oxycline in December 1996.

Fatty acid % of compositiona of:
Culture Oxycline
i14:0 0.33 0.73
14:1 0.1
14:0 0.49 8.85
i15:0 0.89 2.26
a15:0 0.21 1.84
15:0 0.24 2.05
i16:0 0.25 0.94
16:1ω9 0.64 0.25
16:1ω7 0.69 10.5
16:0 2.93 30.7
10Me16:0 0.06
i17:0 0.22 0.62
a17:0 0.19 1.39
17:1 0.09 0.78
17:0 0.16 0.96
18:2(8,14) 7.06 0.52
18:2(7,14) 1.65 0.31
18:1ω9 1.78 3.78
18:1ω8b 57.6 1.63
18:1ω7 19.63 4.16
18:0 3.08 26.8
19:1 0.08
20:0 0.13 0.7
a

For culture and the oxycline, the concentrations of PFLA were 61,436 × 10−10 and 357 × 10−10 mol · liter−1, respectively. 

b

Specific to type II bacteria. 

Our mixed methane-oxidizing bacterial culture was capable of stable and predictable growth in batch culture. It exhibited a fatty acid profile with 18:1ω8 and 18:1ω7 acids accounting for 57.6 and 19.63% of the total PLFAs, respectively (Table 2). This profile is very close to those of Methylosinus or Methylocystis strains previously described (3), with 18:1ω8 acid (from 52.9 to 73.6%) and 18:1ω7 acid (from 14.8 to 37.7%) as major fatty acids. However, we can assume that the exact composition of the bacterial community remained unknown and that our enrichment conditions probably gave not a pure culture but a mixed culture composed essentially of methanotrophic bacteria.

During our enrichment procedure and for every assay submitted to illumination, the exponential growth phase stopped at the end of the first day of culture. So, we calculated for that time the percent inhibition versus the bacterial growth measured in the reference culture, after subtracting the OD value measured at the initial time. Figure 4 shows the results of an experiment run with an illumination of 168 microeinsteins · m−2 · s−1. The change in the methane quantity (in water-air) in the different culture flasks clearly showed that the growth inhibition was related to a strong decrease of actual methane consumption. We did not observe any abiotic methane oxidation with noninoculated flasks submitted to illumination. The experiments were performed with two separately enriched cultures showing almost identical PLFA compositions. Considering all the data obtained for both enrichments, the percent inhibition increased rapidly to reach high values (over 90% inhibition, taking into account the standard error) from an illumination about 150 microeinsteins · m−2 · s−1. This inhibition profile was confirmed with experiments using a pure M. trichosporium OB3B culture that exhibited about the same sensitivity to light (Fig. 5).

FIG. 4.

FIG. 4

Bacterial growth determined by OD at 540 nm and by total methane measurements in the incubated flasks. Replicates were incubated in darkness or under illumination at about 168 microeinsteins · m−2 · s−1 for 12 h a day. Abiotic experiments were run without an inoculum. Percent growth inhibition was calculated after 1 day of incubation. Q, quantity.

FIG. 5.

FIG. 5

Percent growth inhibition versus illumination delivered during bacterial growth. Experiments were run on two identical enriched cultures (A and B) obtained from water sampled at the oxycline in September 1995 and on a pure culture of M. trichosporium OB3B. μE, microeinsteins.

Relation between laboratory experiments and environmental conditions.

So, under our experimental conditions, light inhibited the growth and the activity of the type II methanotrophic bacteria sampled in Petit Saut Lake. In order to relate this observation to environmental data, we monitored the oxycline level (where methanotrophic activity is located) and the Secchi disk depth since the beginning of reservoir filling. The average Secchi disk depth was about 1.5 m during the first 2 years of filling, revealing quite steady illumination of the water column during this period (Fig. 6). Small variations corresponding to periods of low sunshine during the rainy season were observed. On the other hand, the oxycline level sank deeper until January 1995. In consequence, the illumination that would have been measured at the oxycline decreased regularly. If we consider an average illumination profile in the water column obtained at the end of 1994 (Table 3), and the levels of inhibition versus illumination previously measured, we can see that the percent inhibition significantly dropped only for depths below 2 m (Table 3).

FIG. 6.

FIG. 6

Variation of the total methane emission, the Secchi disk depth, and the oxycline depth in Petit Saut reservoir since the beginning of the filling in January 1994. d, day.

TABLE 3.

Illumination and growth inhibition at BPS site

Depth (m) Illumination (microeinsteins · m−2 · s−1) % Inhibition (±10%)
0 760 92
1 260 85
1.5 200 84
2 130 40
3 74 32
4 21 11
6 2 0

The average depth of the oxycline fell below 2 m in October 1994 (Fig. 6). Considering our laboratory results, the inhibition of methanotrophic guild activity could have been largely lifted during this period. The extinction of methane emissions occurred only 4 months later, a duration in agreement with the well-known low growth rate of methanotrophs in natural environments. Since this time, we have not detected any diffusive methane emission from the lake surface into the atmosphere. Currently, methane production at the bottom is still high, but most of the methane is evacuated through the hydroelectric plant (12) or rises as bubbles in the shallow flooded forest.

In conclusion, this work allowed us to formulate a plausible explanation for the sudden decrease in diffusive methane emissions from Petit Saut Lake in French Guiana. Environmental observations were closely paralleled by laboratory experiments which showed that light intensity has a serious inhibitory effect on the growth of the methanotrophic guild present in the water column around the oxycline and also on pure methanotroph cultures. So, the light intensity in the upper water column is thought to have seriously inhibited the methanotrophic activity during the year 1994. However, other unknown inhibitory factors might have been active during this first year of filling. Our experiments allowed us to conclude that the lifting of sunlight inhibition on this physiological guild occurred about 4 months before the methanotrophs had consumed large amounts of methane. Unfortunately, this study does not explain the actual mechanism by which light inhibits MMO. However, there is a great similarity of structure with the AMO of nitrifying bacteria, which is also photosensitive. Shears and Wood (33) speculated on the existence of a particular configuration of the active site of AMO having two copper atoms which become photosensitive after binding to oxygen (O2). Taking into account our experimental illumination conditions, one hypothesis is that the soluble MMO is inhibited by the UV or blue region of the spectrum, as Guerrero and Jones showed for nitrifying bacteria (15). We suggest that immunochemical and structural analyses after isolation of soluble MMO from methanotroph cultures may contribute, in further works, to explaining the inactivation by high illumination.

ACKNOWLEDGMENTS

We are grateful to the Laboratoire Environnement de Petit Saut for its technical and human support and to Peter Winterton of the Université Paul Sabatier for his help in translating the manuscript.

We thank Electricité de France (EDF/CNEH) for its financial support (Convention GP 7573).

REFERENCES

  • 1.Bédard C, Knowles R. Physiology, biochemistry, and specific inhibitors of CH4, NH4+, and CO oxidation by methanotrophs and nitrifiers. Microbiol Rev. 1989;53:68–84. doi: 10.1128/mr.53.1.68-84.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bowman J P, Skerratt J H, Nichols P D, Sly L I. Phospholipid fatty acid and lipopolysaccharide fatty acid signature lipids in methane-utilizing bacteria. FEMS Microbiol Ecol. 1991;85:15–22. [Google Scholar]
  • 3.Bowman J P, Sly L I, Nichols P D, Hayward A C. Revised taxonomy of the methanotrophs: description of Methylobacter gen. nov., emendation of Methylococcus, validation of Methylosinus and Methylocystis species, and a proposal that the family Methylococcaceae includes only the group I methanotrophs. Int J Syst Bacteriol. 1993;43:735–753. [Google Scholar]
  • 4.Carlsen H N, Joergensen L, Degn H. Inhibition by ammonia of methane utilization in Methylococcus capsulatus (Bath) Appl Microbiol Biotechnol. 1991;35:124–127. [Google Scholar]
  • 5.Cline J D. Spectrophotometric determination of hydrogen sulfides in natural waters. Limnol Oceanogr. 1969;14:454–458. [Google Scholar]
  • 6.Conrad R, Rothfuss F. Methane oxidation in the soil surface layer of a flooded rice field and the effect of ammonium. Biol Fertil Soils. 1991;12:28–32. [Google Scholar]
  • 7.Conrad R. Soil microorganisms as controllers of atmospheric trace gases (H2, CO, CH4, OCS, N2O, and NO) Microbiol Rev. 1996;60:609–640. doi: 10.1128/mr.60.4.609-640.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Dalton H, Prior S D, Leak D J, Stanley S H. Regulation and control of methane monooxygenase. In: Crawford R L, Hanson R S, editors. Microbial growth on C1 compounds. Washington, D.C: American Society for Microbiology; 1984. pp. 75–82. [Google Scholar]
  • 9.Dumestre J-F, Labroue L, Galy-Lacaux C, Reynouard C, Richard S. Biomasses et activités bactériennes dans la retenue et à l’aval du barrage de Petit Saut (Guyane): influence sur les émissions de méthane et la consommation d’oxygène. Hydroécol Appliquée. 1997;9:139–167. [Google Scholar]
  • 10.Fay L, Richli U. Location of double bonds in polyunsaturated fatty acids by gas chromatography-mass spectrometry after 4,4-dimethyloxazoline derivatization. J Chromatogr. 1991;541:89–98. [Google Scholar]
  • 11.Galy-Lacaux C, Jambert C, Delmas R, Dumestre J-F, Labroue L, Cerdan P, Richard S. Emission de méthane et consommation d’oxygène dans la retenue hydroélectrique de Petit Saut en Guyane. C R Acad Sci Series IIa. 1996;322:1013–1019. [Google Scholar]
  • 12.Galy-Lacaux C, Delmas R, Jambert C, Dumestre J-F, Labroue L, Richard S. Gaseous emissions and oxygen consumption in hydroelectric dams. A case study in French Guiana. Global Biogeochem Cycles. 1997;11:471–483. [Google Scholar]
  • 13.Gosse P, Grégoire A. Dispositif de réoxygénation artificielle du Sinnamary à l’aval du barrage de Petit Saut (Guyane) Hydroécol Appliquée. 1997;9:23–56. [Google Scholar]
  • 14.Guckert J B, Ringelberg D B, White D C, Hanson R S, Bratina B J. Membrane fatty acids as phenotypic markers in the polyphasic taxonomy of methylotrophs within the Proteobacteria. J Gen Microbiol. 1991;137:2631–2641. doi: 10.1099/00221287-137-11-2631. [DOI] [PubMed] [Google Scholar]
  • 15.Guerrero M A, Jones R D. Photoinhibition of marine nitrifying bacteria. 1. Wavelength-dependent response. Mar Ecol Prog Ser. 1996;141:183–192. [Google Scholar]
  • 16.Guézennec J, Fiala-Medioni A. Bacterial abundance and diversity in the Barbados Trench determined by phospholipid analysis. FEMS Microbiol Ecol. 1996;19:83–93. [Google Scholar]
  • 17.Hanson R S, Netrusov A I, Tsuji K. The obligate methanotrophic bacteria Methylococcus, Methylomonas and Methylosinus. In: Balows A, Truper H G, editors. The prokaryotes. New York, N.Y: Springer-Verlag; 1991. pp. 2350–2363. [Google Scholar]
  • 18.Holmes A J, Costello A, Lidstrom M E, Murrell J C. Evidence that particulate methane monooxygenase and ammonia monooxygenase may be evolutionarily related. FEMS Microbiol Lett. 1995;132:203–208. doi: 10.1016/0378-1097(95)00311-r. [DOI] [PubMed] [Google Scholar]
  • 19.Jannasch H W. Methane oxidation in Lake Kivu (Central Africa) Limnol Oceanogr. 1975;80:860–864. [Google Scholar]
  • 20.Joergensen L, Degn H. Growth rate and methane affinity of a turbidostatic and oxystatic continuous culture of Methylococcus capsulatus (Bath) Biotechnol Lett. 1987;9:71–76. [Google Scholar]
  • 21.Keller M, Kaplan W A, Wofsy S C. Emissions of N2O, CH4 and CO2 from tropical forest soils. J Geophys Res. 1986;91:791–802. [Google Scholar]
  • 22.Keller M, Mitre M E, Stallar R F. Consumption of atmospheric methane in soils of Central Panama: effects of agricultural development. Global Biogeochem Cycles. 1990;4:21–27. [Google Scholar]
  • 23.Makula R A. Phospholipid composition of methane-utilizing bacteria. J Bacteriol. 1978;134:771–777. doi: 10.1128/jb.134.3.771-777.1978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Nichols P D, Smith G A, Antworth C P, Hanson R S, White D C. Phospholipid and lipopolysaccharide normal and hydroxy fatty acid as potential signatures for methane-oxidising bacteria. FEMS Microbiol Ecol. 1985;31:327–335. [Google Scholar]
  • 25.Nichols P D, Guckert J B, White D C. Determination of monounsaturated fatty acid double bond position and geometry for microbial monocultures and complex consortia by capillary GC-MS of their dimethyldisulfur adducts. J Microbiol Methods. 1986;5:49–55. [Google Scholar]
  • 26.Patel R N, Hou C T, Laskin A I, Felix A. Microbial oxidation of hydrocarbons: properties of a soluble methane monooxygenase from a facultative methane-utilizing organism, Methylobacterium sp. strain CRL-26. Appl Environ Microbiol. 1982;44:1130–1137. doi: 10.1128/aem.44.5.1130-1137.1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Porter K G, Feig Y S. The use of DAPI for identifying and counting aquatic microflora. Limnol Oceanogr. 1980;25:943–948. [Google Scholar]
  • 28.Rudd J W, Hamilton R D, Campbell N E R. Measurement of microbial oxidation of methane in lake water. Limnol Oceanogr. 1974;19:519–524. [Google Scholar]
  • 29.Rudd J W, Furutani A, Flett R J, Hamilton R D. Factors controlling methane oxidation in shield lakes: the role of nitrogen fixation and oxygen concentration. Limnol Oceanogr. 1976;21:357–364. [Google Scholar]
  • 30.Rudd J W M, Hamilton R D. Methane oxidation in a eutrophic Canadian shield lake. Ver Int Ver Limnol. 1975;19:2669–2673. [Google Scholar]
  • 31.Rudd J W M, Taylor C D. Methane cycling in aquatic environments. Adv Aquat Microbiol. 1980;2:77–150. [Google Scholar]
  • 32.Scott D, Brannan J, Higgins I J. The effect of growth conditions on intracytoplasmic membrane and MMO activities in Methylosinus trichosporium OB3b. J Microbiol. 1981;125:105–119. [Google Scholar]
  • 33.Shears J H, Wood P M. Spectroscopic evidence for a photosensitive state of ammonia mono-oxygenase. Biochem J. 1985;226:499–507. doi: 10.1042/bj2260499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sissakian C. Présentation de la retenue de Petit Saut en Guyane Française: cartographie—partition de la retenue—volumes et surfaces—intégration paysagère. Hydroécol Appliquée. 1992;4:121–132. [Google Scholar]
  • 35.Sundh I, Borga P, Nilsson M, Svensson B H. Estimation of cell numbers of methanotrophic bacteria in boreal peatlands based on analysis of specific phospholipid fatty acids. FEMS Microbiol Ecol. 1995;18:103–112. [Google Scholar]
  • 36.Tathy J P, Delmas R A, Marenco A, Cros B, Labat M, Servant J. Methane emission from flooded forest in Central Africa. J Geophys Res. 1992;97:6159–6168. [Google Scholar]
  • 37.Urakami T, Komagata K. Cellular fatty acid composition and quinone system in methane-utilizing bacteria and methylamine-utilizing bacteria. In: Crawford R L, Hanson R S, editors. Microbial growth on C1 compounds. Washington, D.C: American Society for Microbiology; 1984. pp. 123–133. [Google Scholar]
  • 38.Wassman R, Thein U G, Whiticar H, Rennenberg H, Seiler W, Junk W J. Methane emission from the Amazon floodplain: characterization of production and transport. Global Biogeochem Cycles. 1992;6:3–13. [Google Scholar]
  • 39.Whalen S C, Reeburgh W S, Reimers C E. Control of tundra methane emission by microbial oxidation. In: Reynolds J F, Tenhunen J D, editors. Landscape function: implications for ecosystem response to disturbance, a case study in arctic tundra. Berlin, Germany: Springer-Verlag; 1996. pp. 257–274. [Google Scholar]
  • 40.White D C, Bobbie R J, Herron J S, King J D, Morrison S J. Biochemical measurements of microbial mass and activity from environmental samples. Native aquatic bacteria: enumeration, activity and ecology. ASTM Spec Tech Publ. 1979;695:69–81. [Google Scholar]
  • 41.Whittenbury R, Phillips K C, Wilkinson J F. Enrichment, isolation and some properties of methane-utilizing bacteria. J Gen Microbiol. 1970;61:205–218. doi: 10.1099/00221287-61-2-205. [DOI] [PubMed] [Google Scholar]

Articles from Applied and Environmental Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES