Research Article
29 September 2017

Constant Flux of Spatial Niche Partitioning through High-Resolution Sampling of Magnetotactic Bacteria

ABSTRACT

Magnetotactic bacteria (MTB) swim along magnetic field lines in water. They are found in aquatic habitats throughout the world, yet knowledge of their spatial and temporal distribution remains limited. To help remedy this, we took MTB-bearing sediment from a natural pond, mixed the thoroughly homogenized sediment into two replicate aquaria, and then counted three dominant MTB morphotypes (coccus, spirillum, and rod-shaped MTB cells) at a high spatiotemporal sampling resolution: 36 discrete points in replicate aquaria were sampled every ∼30 days over 198 days. Population centers of the MTB coccus and MTB spirillum morphotypes moved in continual flux, yet they consistently inhabited separate locations, displaying significant anticorrelation. Rod-shaped MTB were initially concentrated toward the northern end of the aquaria, but at the end of the experiment, they were most densely populated toward the south. The finding that the total number of MTB cells increased over time during the experiment argues that population reorganization arose from relative changes in cell division and death and not from migration. The maximum net growth rates were 10, 3, and 1 doublings day−1 and average net growth rates were 0.24, 0.11, and 0.02 doublings day−1 for MTB cocci, MTB spirilla, and rod-shaped MTB, respectively; minimum growth rates for all three morphotypes were −0.03 doublings day−1. Our results suggest that MTB cocci and MTB spirilla occupy distinctly different niches: their horizontal positioning in sediment is anticorrelated and under constant flux.
IMPORTANCE Little is known about the horizontal distribution of magnetotactic bacteria in sediment or how the distribution changes over time. We therefore measured three dominant magnetotactic bacterium morphotypes at 36 places in two replicate aquaria each month for 7 months. We found that the spatial positioning of population centers changed over time and that the two most abundant morphotypes (MTB cocci and MTB spirilla) occupied distinctly different niches in the aquaria. Maximum and average growth and death rates were quantified for each of the three morphotypes based on 72 sites that were measured six times. The findings provided novel insight into the differential behavior of noncultured magnetotactic bacteria.

INTRODUCTION

Almost all freshwater and marine environments host a broad spectrum of special kinds of bacteria, called magnetotactic bacteria (MTB) (1), that synthesize membrane-bound, single-domain-sized (35- to 120-nm) magnetite and/or greigite crystals called magnetosomes (24). Chains of magnetosomes that contain permanent magnetic moments are fixed within the cell, which enable MTB to swim along magnetic field lines (5, 6). MTB host a wide variety of cell morphotypes, including cocci, vibrios, spirilla, ovoids, rods, and multicellular prokaryotes (7).
MTB generally live within the oxic-anoxic transition zone, yet they are also found in anoxic environments (8). Upon death, they become entrained in the sediment column, where eventually, through lithification, the magnetosomes become important recorders of the geomagnetic field (9, 10). Magnetosome concentrations in sediments also serve as paleoclimate proxies (1114). As they contain 2 to 4% (dry weight) Fe (15, 16), MTB could influence iron cycles in nature by acting to sequester Fe in sediments (17). Several studies have addressed the spatiotemporal variation of MTB along vertical profiles (16, 18, 19), yet much less is known about how their horizontal distribution varies in space and time. Specifically, we question how well MTB populations measured in a given place (a spatial niche) represent a particular environment through time; e.g., do the populations remain fixed in a limited area, move randomly from place to place, or some combination of the two, and over what time scales? We therefore carried out relatively dense spatial and temporal sampling of decameter-sized environments and quantified natural MTB populations over a period of 198 days. This enabled us to map their distribution in space and to observe how the population evolved over time.

RESULTS

Spatiotemporal variation of magnetotactic bacteria.

Figure 1 shows box plots of the total population of the three MTB morphotypes in the two aquaria over time (data in Table 1). Between days 7 and 37, the total quantities of MTB spirilla and MTB rods decreased, whereas the total quantity of MTB cocci slightly increased. After day 67 and until day 150, numbers of all counted MTB morphotypes increased, with the exception of MTB rods in aquarium A. A rotation of aquarium A at day 44 was done to test the influence of the starting conditions relative to magnetic north.
FIG 1
FIG 1 Box plots of MTB abundances in aquaria A and B over time (days). The bars in the boxes represent the sample medians, tbe boxes themselves show the upper and lower quartiles, the vertical bars show the range, and solid squares represent extreme values.
TABLE 1
TABLE 1 Statistics on magnetotactic bacterium populations for aquaria A and B over time based on 36 measurements in each aquariuma
MorphotypeDayAquarium AAquarium B
Total no. of cells/μlMean no. of cells/μlσ (no. of cells/μl)RVTotal no. of cells/μlMean no. of cells/μlσ (no. of cells/μl)RV
MTB cocci71,53343461.1258781.2
3715,7584388351.94,0301122332.1
678,9782491470.612,5153483361.0
12011,1453101590.524,9886947361.1
15038,4581,0688810.873,6932,0479870.5
19855,8801,5529110.686,0302,3901,2800.5
MTB spirilla712,2203391650.56,758188980.3
372,32565600.91,91553440.8
671,24335230.73,785105710.7
1205,8031611831.130,6588521,0631.3
15020,7055756591.275,9682,1101,5610.7
19841,5081,1531,1941.046,6031,2951,4491.1
MTB rods73,963110690.65,660157970.6
372,88380560.72,85879400.5
6765818291.64,168116850.7
1205019,0402515932.4
15043118,1485046201.2
19823114,7534103870.9
a
σ, single standard deviation of the mean for the MTB from 36 sites; RV, relative variability (σ/mean).
Figure 2 shows the horizontal distribution of the three dominant MTB morphotypes in each aquarium over time. The plots contour the number of bacteria at each site relative to the average value for the morphotype at the given day of measurement separately for each aquarium. Initially (day 7), MTB cocci and MTB rods concentrated toward the north, which might be due to mixing and pouring the sediment into the aquaria in the ambient, northward-directed field. On day 37, MTB cocci began to grow at the corners of the aquaria. Population densities remained stable for MTB cocci from day 7 through day 120 in aquarium B and initially for MTB rods in both aquaria over days 7 to 67. This is supported by a Pearson correlation analysis where significance is indicated at probability levels of 0.05 and 0.01 (Table 2). Interestingly, when MTB cocci had higher correlation values between successive measurements, there was no correlation in the same period for MTB spirilla and vice versa.
FIG 2
FIG 2 Horizontal distributions of MTB cocci (a), MTB spirilla (b), and MTB rods (c) in aquaria A and B from day 7 to day 198. Values at each point represent the difference with respect to the average number of MTB of a given morphotype at a given day. The color scale is with respect to the maximum and minimum values. The total numbers and single standard deviations of the averages are listed in each plot. The plot at day 198 for MTB rods in aquarium A shows the distribution of the sampling sites. Plots were truncated at the edges of the sampling points to avoid extrapolation effects from contouring.
TABLE 2
TABLE 2 Correlation coefficients for each morphotype between successive measurementsa
Day of 1st measurementCorrelation coefficients on day of 2nd measurement
3767120150198
MTB cocci
    70.023, 0.405*
    370.377,* 0.648**
    670.277, 0.649**
    1200.223, 0.026
    1500.621,** 0.183
MTB spirilla
    70.082, 0.484**
    370.051, 0.003
    670.445,** 0.177
    1200.543,** 0.367*
    1500.040, 0.232
MTB rods
    70.469,** 0.365*
    370.564,** 0.336*
    67, 0.128
    120, 0.112
    150, 0.464**
a
The presence of one or two asterisks (* or **) indicates significance at a probability level of 0.05 or 0.01, respectively. Boldface type indicates aquarium A, and italic type indicates aquarium B. Dashes (—) indicate no data.
In most other cases, it appeared that the relative number of MTB morphotypes did not increase or decrease at the same places, but rather maxima (above-average numbers in red in Fig. 2) and minima (below-average numbers in green in Fig. 2) of populations varied over time. On the other hand, the relative variability (single standard deviation/mean) tended to stabilize after day 37 for MTB cocci and remained fairly constant for MTB rods and MTB spirilla, although the relative variability for the latter could be argued to have slightly increased over time (Table 1). In general, the data suggest that the MTB populations observed were relatively copiotrophic: changes in a population tended to boom or bust heterogeneously in space despite changes in absolute numbers. It is ambiguous how to interpret MTB populations at a given site relative to an average when the relative variability exceeds 1.0. Bootstrap analysis suggests that the uncertainty about the relative variability remains stable to within 20% until the number decreases from 36 to 20 sites. This should be interpreted with caution, as the size of the population generally increased for all MTB morphotypes except for MTB rods in aquarium A (see below), so the populations are not at a steady state.
Toward the end of the experiment, MTB spirilla generally inhabited the perimeter of the aquaria, while MTB cocci populated more toward the center. The finding that the two morphotypes consistently preferred to live in distinctly separate places was one of the most important observations of our study. One problem with the way in which the changes in MTB were visualized in Fig. 2 is that the color scale is optimized for relatively high cell counts. One sees a different view when doubly normalizing the data (see Fig. S3 in the supplemental material), which is exaggerated when cell numbers are low, as for MTB rods, yet has the advantage of weighting each morphotype and time equally.

DISCUSSION

There are few studies on the horizontal distribution of MTB in sediment microcosms over time. We found a mostly nonuniform and constantly varying horizontal distribution of MTB, consistent with data reported previously by Jogler et al. (18), who also found uneven population distributions of MTB rods in seven habitats. Simmons et al. (20) found sharp changes in the abundances of MTB cocci and greigite (iron sulfide)-producing MTB over small length scales in a natural pond.
MTB rods and MTB cocci were initially concentrated in the northern part of the aquaria. After aquarium A was rotated 180° on day 44, MTB rods did not flourish in the “new” northern part of the aquarium or die off toward the south. Because the sediment was mixed into the aquaria in the magnetic field, and because MTB swimming velocities are higher in water than in sediment (21), the fact that MTB rods were concentrated in the north could indicate that pouring the sediment into the aquaria in the ambient field might have biased the initial results. On the other hand, the finding that MTB rods died off in aquarium A and not in aquarium B, whereas MTB cocci and MTB spirilla were less affected by the rotation, suggests that the change in the magnetic environment influenced the MTB rod community. Mao (22) found that the abundance of MTB rods dropped after decreasing the ambient magnetic field to near null, whereas the MTB rods recovered to normal concentrations after the geomagnetic field was restored. Lin et al. (23) analyzed more than 900 MTB 16S rRNA gene sequences from 25 locations around the world based on the UniFrac and Sørensen indices. They found that the geomagnetic field strength influenced MTB activity and diversity to the same extent as did salinity, sulfate, temperature, and Eh. The fact that only MTB rods showed a response to the 180° rotation of the aquarium may also be due to the fact that MTB rods have a magnetic moment that is larger than that of MTB cocci by a factor of 10 (24). Correspondingly, a higher sensitivity of MTB rods to changes in the magnetic field could be expected.
To test whether morphotype populations were correlated with O2 concentrations, we measured nine O2 profiles in each aquarium on day 120 (see Fig. S1 in the supplemental material). Oxygen concentrations in water ranged from 100 to 150 μmol/liter; O2 disappeared at a depth of 3 mm in the sediment. Pearson correlation analysis revealed no significant relationship between bacterial abundances and O2 concentrations at a depth of 1 mm. A similar analysis based on the O2 concentration in water just above the sediment also yielded no significant degree of correlation. MTB populations were uncorrelated with local O2 conditions in the aquarium environment in the plane parallel to the surface. Flies et al. (16) found that MTB distributions in the vertical dimension were restricted to a narrow sediment layer overlapping or closely below the maximum oxygen penetration depth. Different species showed various preferences within vertical gradients, but over 60% of MTB were detected within the suboxic zone, which begins ∼1 to 2 mm below the sediment-water interface in our study. Our sampling integrates a volume of h · π · r2 (where r is 2.5 mm and h is 10 mm) spanning the oxic-anoxic transition zone where most bacteria should live. The idea that the numbers of MTB do not correlate with O2 concentrations might not be surprising considering that O2 restricts MTB to live in a specific region in the vertical direction but does not control the absolute numbers of MTB within that region. Our experiments suggest that the absolute numbers of MTB could vary considerably if one measured them in the horizontal plane at a given depth or constant horizon of chemical activity.
MTB cocci initially grew in the corners of the aquaria and ended up being more concentrated in the center of the aquaria toward the end of the experiment. The finding that the total number of MTB increased over time suggests that the changes in the horizontal distribution do not stem from migration but rather are due to changes in cell division (growth) and death rates, which then trended toward relatively equal numbers at the latter stages of the experiment in both aquaria. This is consistent with the observations of Mao et al. (21), who found that MTB move via a slightly biased random walk in the external magnetic field in the sediment. While the swimming velocity of MTB cocci in water can reach 112 μm/s (25), their swimming velocity in sediment is unknown.
Another way to quantify changes in MTB populations is to examine the relative population over time (Fig. 3). Viewing them in this way, one sees that MTB coccus and MTB spirillum populations were generally anticorrelated at the beginning stages of the experiment. Making correlations with data from other studies needs to be done with caution, as there are multiple species of cocci and spirilla (3, 7), and each species might respond differently to a given microenvironment.
FIG 3
FIG 3 Percentages of the three MTB morphotypes in aquaria A and B over time.
The horizontal distributions of MTB coccus and MTB spirillum population centers were in continuous flux during incubation, and the spatial positioning of these centers was consistently anticorrelated (Fig. 2). Initially, MTB rods and MTB spirilla predominated, but MTB cocci became the dominant group after day 37, which has been found in natural habitats (16, 19, 26, 27). Moreover, when MTB cocci had similar spatial distributions between adjacent days of counting, MTB spirilla were concentrated in different places between those same adjacent days of counting and vice versa. Pearson correlation analysis suggests that MTB cocci and MTB spirilla were significantly anticorrelated on day 198 in aquarium B (r = −0.523), with a lower probability of anticorrelation in aquarium A (r = −0.301). The anticorrelation between MTB cocci and MTB spirilla leads us to conclude that these two morphotypes occupy spatially distinct niches whose horizontal positioning undergoes constant flux.
We calculated the relative growth rate (k) of MTB by using the formula k = (Nn+1Nn)/[Nn × (tn+1tn)], where Nn+1 and Nn are the amounts of MTB at time n + 1 (tn+1) and time n (tn), respectively (Fig. 4). MTB cocci had a higher average growth rate between days 7 and 67, whereas MTB spirilla and MTB rods in aquarium B had higher growth rates from day 120. The maximum growth rates at all 72 sites in both aquaria for MTB cocci, MTB spirilla, and MTB rods were 10, 3, and 1 day−1, respectively. Average k values were 0.24, 0.11, and 0.02 day−1, respectively. The minimum growth rate was −0.03 day−1. In comparison, the generation times for cultured magnetotactic spirilla are between 6 and 26 h (28), which correspond to k values of 15 and 1 day−1 and hence are significantly higher than our average growth rates but on the same order as the maximum growth rates. Nutrient availability and/or predator-prey relationships between natural sediment and culture environments likely account for this difference.
FIG 4
FIG 4 Box plots of the change in MTB growth rates over time in aquaria A and B. The bars in the boxes represent the sample medians, the boxes show the upper and lower quartiles, the vertical bars show the range, and solid squares represent extreme values. T represents tn+1tn, where tn is each successive counting time (e.g., T = 1 represents the value at day 37 − the value at day 7).
The two aquaria experienced identical environmental conditions and parallel initial conditions. The spatial distributions of MTB cocci and MTB spirilla were fairly similar in each aquarium, independent of the rotation at day 44. Changes in the distribution of MTB cannot be related to temperature, light, or O2 concentration, as was also concluded by Jogler et al. (18). Lin and Pan (26) speculated that the variation in nitrite-oxidizing and ammonia-oxidizing bacteria could change the concentration of nitrate in the sediment, which may have had an effect on MTB communities. Different areas of the sediment may contain different predators, like phages or eukaryotic grazers (18), which could account for the uneven distribution of MTB. On the other hand, some workers found that the abundance of spherical, mulberry-like, magnetotactic multicellular prokaryotes correlated with the concentration of organic matter (2931). This could explain our results if a local depletion of organic matter led to population deceases, whereas population booms represent the exploitation of new sources of organic matter, although other variables such as nitrate (26), etc., could play equally significant roles.
Sobrinho et al. (32) found that iron and bioavailable sulfur concentrations regulate the magnetotactic multicellular prokaryote density in the Araruama Lagoon in Brazil. Other workers found that salinity, nitrate concentrations, and sulfate concentrations correlate with the amounts of MTB (16, 19, 26, 33). We observed worms and small aquatic plants living in the sediment. Bioturbation by invertebrate burrowing as well as the roots of aquatic plants can increase the heterogeneity of microenvironments. In our particular case, the aquaria likely had an uneven distribution of nutrients.
The method of counting MTB has some limitations, as only highly motile MTB swam out of the sediment into the water drop, and only live cells were counted. Nevertheless, the relative changes that we observed should be robust, as the same method was applied across all samples and time points. The anticorrelation of MTB coccus and MTB spirillum population centers cannot be attributed solely to migration or swimming speed. Rather, changes in the growth and death rates of MTB must be contributing factors, with the population centers undergoing constant flux throughout the time period. These results suggest that many MTB lie dormant and then wake up at different times, either in a stochastic fashion (34) or in response to newly available nutrients such as iron (35). This appears to vary on the centimeter scale, given the anticorrelation of the fluxes in growth and death rates of the two morphotypes. Our study suggests that quantifying the presence and abundance of MTB in nature should be carried out with high-resolution sampling in space and time. The highly dynamic niche partitioning shown here implies that results based on environmental samples taken from a single point in space (e.g., for metagenomics or 16S rRNA gene sequencing) from benthic ecosystems should be interpreted with caution.

MATERIALS AND METHODS

Sample collection and counting.

We collected sediment from a natural pond situated in a forest near Landshut, Germany, 80 km northeast of Munich (48°35′14.98″N, 12°04′43.71″E) that hosts abundant and well-characterized MTB (21, 36). Grain size analyses of five sediment samples showed log-normal distributions with maxima at 15 to 23 μm, whose dominant magnetic contribution comes from noninteracting single-domain particles, probably in the form of intact magnetosome chains (37). On 14 July 2014 (considered day 1, the start of the experiment), we took 4 liters of sediment from the sediment-water interface to a depth of 10 cm, thoroughly homogenized it, and then poured it into two single-piece (seamless) glass aquaria 30 cm long, 20 cm wide, and 15 cm high. The seamless glass aquaria were gas impermeable, and thus, the only point at which oxygen could diffuse into the system was from dissolved O2 in the water above the sediment in the aquaria. This preserved the oxic-anoxic redox gradient that naturally occurs in these sediments at a relatively shallow sediment depth (see Fig. S1 in the supplemental material). The sediment-water interface in the aquaria was at a 5-cm height, with the rest being filled with pond water up to 4.5 cm below the top of the aquarium. Constant water height was maintained throughout the course of the experiment.
The two replicate aquaria (aquaria A and B) were placed with their long axes parallel to the ambient geomagnetic field declination in a room where the temperature remained within 20°C to 26°C. Plastic boards with small holes covered the aquaria to reduce evaporation. As the aquaria were not air tight, their covers inhibited contamination from aerosols in the laboratory. However, the environment was not exceptionally dissimilar to the natural state of the shallow pond, which also received a constant influx of aerosols from the suburban Munich area. A total of 36 sites in each aquarium, spaced in rows every 4 cm in the long-axis direction and 3 cm in the other, were sampled at roughly 30-day intervals beginning on day 7 by using a pipette to extract 200 μl of sediment at each site from the upper centimeter of the sediment column, where the MTB were most concentrated (18). A mark indicating the 1-cm level on the pipette was visually placed at the sediment-water interface to within an accuracy of ±1.5 mm. Each site was defined as a 1- by 1-cm2 area divided into two rows of three points whose position from one sampling to the next was systematically shifted to avoid disturbance: first in the upper left-hand corner, then in the upper right-hand corner, then between the two upper corners, then in the lower left-hand corner, then in the lower right-hand corner, and finally between the two lower corners, always the same for each site. On day 44, aquarium A was rotated 180° in the long-axis direction.
We used a viable cell counting technique to quantify the MTB morphotypes (16), which allows one to microscopically quantify each MTB morphotype without using more sophisticated methods such as quantitative PCR (qPCR) (29), etc. High-throughput 16S rRNA gene sequencing (Illumina) of three replicate samples from the pond sediment identified uncultivated taxa corresponding to Magnetococcus and the rod-shaped organisms “Candidatus Magnetobacterium bavaricum” and “Candidatus Magnetobacterium casensis” (38), similar to MTB recovered in other freshwater sediments from Germany, China, and Russia, etc. (18, 25, 39, 40). The sediment was transferred to centrifuge tubes, 4,800 μl distilled water was then added to 200 μl of sediment (5 ml total), and the mixture was homogenized by shaking. Although toxic on longer time scales, the use of distilled water is an advantage when observing MTB under a microscope in that it activates their propulsion. From day 120, the MTB population became so large at certain locations that we had to dilute 200 μl sediment with 7.25 times more water for a total slurry of 35 ml. From the centrifuge tubes, 10 μl of the sediment-water slurry was placed onto a glass slide, and 10 μl of distilled water was added beside the drop (Fig. 5). An O-ring was placed on the slide, and a coverslip was placed on the O-ring to inhibit evaporation. The slide was placed beneath an optical microscope in the center of Helmholtz coils (Petersen Instruments magnetodrome). Directing a horizontal magnetic field oriented toward the drop of distilled water induced the MTB to swim out of the sediment and into the clear water, where they were identified and counted via light microscopy (model CKX41SF; Olympus) at the air-water interface. The strength of the magnetic field produced by the coils was 0.6 mT, about 12 times the strength of the magnetic field in Munich.
FIG 5
FIG 5 Sketch of a sample placed on a slide in the magnetodrome. B indicates the applied magnetic field direction in the horizontal plane.
The viable cell counting technique allowed us to distinguish three general morphotypes, cocci (defined as round MTB with diameters of ca. 1 to 4 μm), spirilla (generally 2 to 3 μm long and slightly concave, which included vibrios, as the two morphotypes are difficult to distinguish), and rod shaped (“Candidatus Magnetobacterium bavaricum” and/or “Candidatus Magnetobacterium casensis,” here grouped and referred to as MTB rods), which are easily distinguished by their rod shapes and dark appearance (see Fig. S2 in the supplemental material) (41, 42). Several different coccus and/or spirillum species exist in the sediment, but they cannot be distinguished optically and are thus grouped solely by morphotype. Figure 6 shows the number of MTB counted from 10 different samples over time. From these data, we allowed the MTB to swim in an induced magnetic field for 20 min before the number of MTB in each sample was counted. The number of counted bacteria was a minimum number since we cannot be sure that all of the MTB migrated out of the sediment.
FIG 6
FIG 6 Number of MTB cocci counted as a function of time for 10 discrete samples.

Mapping.

Graphs of MTB distributions were made with Surfer 12 (Golden Software), selecting the kriging method to contour the data (43). Plots in Fig. 2 were made by calculating the average number of MTB of each morphotype from the 36 points in each aquarium and then subtracting the number of MTB morphotypes at each sampling position by the average number of MTB of that morphotype in the same aquarium for the day in question (e.g., the numbers are relative to the average, with red indicating values that are higher than average and green indicating values that are lower). Fig. S3 in the supplemental material shows the same data except doubly normalized so that the minimum counts are 0 and the maximum counts are 1. To test the effect of the initial conditions on the MTB population, aquarium A was rotated 180° on day 44. The maps of aquarium A are shown in the same position relative to the start of the experiment (Fig. 2). It took 6 days to count the MTB at the 72 sites (36 sites and 2 replicate aquaria), 3 days for each aquarium, with the number of MTB in aquarium A being counted first and the number in aquarium B being counted second; “day” in our study is according to the first day when counting began for aquarium A.

Oxygen concentration.

Magnetotactic bacteria are microaerophilic and sensitive to O2; thus, they prefer to live near the oxic-anoxic interface in sediments where O2 levels are low (44). For this reason, O2 profiles were measured at nine locations in each aquarium by using a Unisense OX50 oxygen microsensor (tip diameter of 50 μm) with a 0.3-μmol/liter detection limit on day 120. The sensor was fixed on a computer-driven micromanipulator mounted onto a heavy laboratory stand. Three seconds were required to reach stable readings. Three north-south transects were spaced at 6-cm intervals, 8 cm apart, on the east-west axis. Measurements were made for every 1-mm depth, starting 5 mm above the sediment-water interface and ending 10 mm below it. Oxygen concentrations in water ranged from 100 to 150 μmol/liter, while O2 disappeared at a depth of 3 mm in the sediment (see Fig. S2 in the supplemental material).

ACKNOWLEDGMENTS

The manuscript benefited from insightful comments from four anonymous reviewers. We thank Xuegang Mao, Florian Lhuillier, and Michael Eitel for helpful discussions and comments.
The China Scholarship Council helped support this study. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Supplemental Material

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Information & Contributors

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Published In

cover image Applied and Environmental Microbiology
Applied and Environmental Microbiology
Volume 83Number 2015 October 2017
eLocator: e01382-17
Editor: Gerrit Voordouw, University of Calgary
PubMed: 28778897

History

Received: 22 June 2017
Accepted: 1 August 2017
Published online: 29 September 2017

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Keywords

  1. magnetotactic bacteria
  2. spatiotemporal variation
  3. controlled aquaria

Contributors

Authors

Kuang He
Department of Earth and Environmental Sciences, Ludwig-Maximilians Universität, Munich, Germany
Department of Earth and Environmental Sciences, Ludwig-Maximilians Universität, Munich, Germany
William D. Orsi
Department of Earth and Environmental Sciences, Ludwig-Maximilians Universität, Munich, Germany
GeoBio-CenterLMU, Ludwig-Maximilians Universität, Munich, Germany
Xiangyu Zhao
National Institute of Polar Research, Tokyo, Japan
Nikolai Petersen
Department of Earth and Environmental Sciences, Ludwig-Maximilians Universität, Munich, Germany

Editor

Gerrit Voordouw
Editor
University of Calgary

Notes

Address correspondence to Stuart A. Gilder, [email protected].

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