In wetland-adapted plants, such as rice, it is typically root apexes, sites of rapid entry for water/nutrients, where radial oxygen losses (ROLs) are highest. Nutrient/toxic metal uptake therefore largely occurs through oxidized zones and pH microgradients. However, the processes controlling the acquisition of trace elements in rice have been difficult to explore experimentally because of a lack of techniques for simultaneously measuring labile trace elements and O2/pH. Here, we use new diffusive gradients in thin films (DGT)/planar optode sandwich sensors deployed in situ on rice roots to demonstrate a new geochemical niche of greatly enhanced As, Pb, and Fe(II) mobilization into solution immediately adjacent to the root tips characterized by O2 enrichment and low pH. Fe(II) mobilization was congruent to that of the peripheral edge of the aerobic root zone, demonstrating that the Fe(II) mobilization maximum only developed in a narrow O2 range as the oxidation front penetrates the reducing soil. The Fe flux to the DGT resin at the root apexes was 3-fold higher than the anaerobic bulk soil and 27 times greater than the aerobic rooting zone. These results provide new evidence for the importance of coupled diffusion and oxidation of Fe in modulating trace metal solubilization, dispersion, and plant uptake.
In wetland-adapted plants, such asrice, it is typically root apexes, sites of rapid entry for water/nutrients, where radial oxygen losses (ROLs) are highest. Nutrient/toxic metal uptake therefore largely occurs through oxidized zones and pH microgradients. However, the processes controlling the acquisition of trace elements in rice have been difficult to explore experimentally because of a lack of techniques for simultaneously measuring labile trace elements and O2/pH. Here, we use new diffusive gradients in thin films (DGT)/planar optode sandwich sensors deployed in situ on rice roots to demonstrate a new geochemical niche of greatly enhanced As, Pb, and Fe(II) mobilization into solution immediately adjacent to the root tips characterized by O2 enrichment and low pH. Fe(II) mobilization wascongruent to that of the peripheral edge of the aerobic root zone, demonstrating that the Fe(II) mobilization maximum only developed in a narrow O2 range as the oxidation front penetrates the reducing soil. The Fe flux to the DGT resin at the root apexes was 3-fold higher than the anaerobic bulk soil and 27 times greater than the aerobic rooting zone. These results provide new evidence for the importance of coupled diffusion and oxidation of Fe in modulating trace metal solubilization, dispersion, and plant uptake.
Ricecontains ∼10 times more arsenic
than other cereal staples[1] and is the dominant
food source of inorganic
arsenic exposure to the world’s population.[2,3] The
prevalence of lead-enriched rice is less than that of arsenic but
is a particular concern in regions where waste recycling and base
metal mining coexist with farming.[4] Lead
exposure is estimated to be responsible for 0.6% of the global burden
of disease.[5] When rice is consumed in quantity,
representing the eating habits of many in southeast Asia, by children
or expectant mothers, its contribution to critical exposure levels
can be significant.[4] Conversely, it is
the sub-optimum concentrations of iron in polished rice that contribute
to iron deficiency, the most common human micronutrient imbalance
in the world.[6] However, despite this, irontoxicity is one of the most devastating trace element disorders in
lowland rice, inhibiting the uptake and use of essential nutrients.[7] Plant uptake of arsenic, lead, and iron is influenced
strongly by soil processes and root activities, but our understanding
of related mobilization/immobilization of those elements in rice rhizospheres
remains incomplete because of the lack of satisfactory biogeochemical in situ mapping technologies.Soil-grown rice plants
have a heterogeneous distribution of iron
“plaque” coatings on their roots.[8,9] This
discontinuous porous layer of amorphous oxyhydroxide minerals, believed
to be composed of predominantly ferrihydrite,[10] on the root surface possesses a high specific surface area laden
with −OH functional groups capable of reacting with metals,
other cations, and anionic species.[11] Studies
have shown that root iron plaques inhibit Cu, Ni, Mn, and P uptake
in plants,[12−14] but given the right conditions, whereby Fe oxyhydroxide
is reduced and recycled back into solution, they can also act as a
source of supply.[8,15] The occurrence of iron plaques
is more common around mature roots away from root tips.[9,16] As redox potentials decrease with rooting depth, this is matched
by a decline in iron plaque formation.[16] Locations along the root axis where O2 diffusion changes
with time, coupled with the localized (bio)chemical ambience, will
affect iron plaque formation. Because iron plaque is a strong sorbent
for As and Pb, it is thought to retain these contaminants and render
them unavailable for plant uptake. With this being the case, then
root locations without dense plaque cover are considered entry points
of As and Pb into the rice plants.Flooding soil has a profound
impact on the biogeochemical cycles
of major and trace elements, primarily through influencing the reduction–oxidation
(redox) reactions and altering pH.[17] It
is frequently observed that iron mobilization in flooded soil is accompanied
by concurrent release of arsenic.[18−21] It is the inorganic arsenic species,
arsenate, that is central to arsenic mobilization upon soil flooding,
by either it being liberated into solution as the host phase, ironoxide/hydroxide, is reduced or its (bio)chemical conversion to arsenite.
The reduced species, arsenite, being less strongly bound to iron,
is more inclined to partition into solution.[19,21] Once dissolved, the arsenate can be rapidly reduced biotically or
abiotically for assimilation by rice. Lead is considerably less mobile
than arsenic. It is chemisorbed on clays and oxides and complexed
with organic matter and exhibits an increase in solubility as pH declines.[22] All of these processes occur under pronounced
spatial and temporal heterogeneity within the radial extension of
the rhizosphere.In addition to variability in redox conditions,
localized changes
in soil pH would also have a bearing on iron plaque development/cycling.
Biotic processes, such as the secretion of root exudates[23] or the release of H+ from the roots
to balance excess intake of cations over anions,[24] are the common focus of root-mediated pH change.[23] However, abiotic processes may be equally as
significant. The potential importance of pH-mediated Fe(II) mobilization,
caused by the oxidation of Fe(II) by O2 was first recognized
2 decades ago in theoretical models of flooded soil.[25] Evidence of localized acidification and banding of Fe(III)
with proximity to rice roots was later shown experimentally in averaged
one-dimensional measurements.[24,26] The sampling approach,
advanced as it was at the time, could only partially validate the
Fe(II) solubility phenomena, because the Fe(II) maxima could not be
directly observed because the measurements were not obtained in situ. Furthermore, these studies were unable to observe
the accompanying mobilization of other elements, such asarsenic and
lead. Methodologies that can simultaneously capture these changes
to decipher the underlying geochemical processes around rice roots
have until now not been available. However, recent developments in
chemical imaging techniques[27−29] have enabled this study to report
the first direct measurements of O2 and H+ concentrations
along with the mobilization of Fe(II) and other trace metals, at a
two-dimensional planar interface in rice rhizospheres.The overall
aim of the work was to determine whether metal mobilization
is a common feature of rice rhizospheres and to establish the key
processes controlling element release. To achieve this, we used new
sandwich sensor technologies, consisting of planar optodes using O2 and pH-sensitive luminophores, overlain by an ultrathin (70
μm) diffusive gradients in thin films (DGT) layer for measuring
metals.[28]
Materials and Methods
Method
Summary
An ultrathin DGT layer is exposed to
the soil and backed by a planar optode. It accumulates metals on a
small particle size (0.2 μm) chelating resin and records directly
the locally induced flux of trace metals during the entire deployment.[28−30] The planar optode resolves the O2concentrations or pH
dynamics in near real time at a temporal resolution of 30 min.[27] For the same locations, two-dimensional images
of metals, analyzed by inductively coupled plasma–mass spectrometry
(ICP–MS) after laser ablation, and either O2 or
pH could be resolved with a spatial resolution of ∼100 μm.
Both Fe(II) and Fe(III) are accumulated, but calculations using the
speciation code WHAM[31] indicated that Fe(III)
would be negligible at the applied conditions, because of the low
solubility of Fe(OH)3. Arsenic binds quantitatively to
iminodiacetic chelating resins in the presence of iron. For the ratio
of accumulated As and Fe(II) observed in this work, the accumulation
of As is unaffected by the amount of accumulated iron.[32]The sensors were deployed in purpose-built
rice rhizotrons designed to simulate natural anaerobic conditions
encountered in the field. The rhizotron was transferred into an aquarium,
and the front window of the rhizotron was removed to enable contact
of the combined sensor with a Nuclepore membrane (0.2 μm pore
size and ∼10 μm thickness) support that overlaid the
root and soil surface. Ingress of O2 into the anaerobic
soils was minimal because this operation was performed in aquarium
water that had previously been deoxygenated with nitrogen. The planar
optode foil was attached with tape (Scotch super 33+) to the support
membrane and, subsequently, was overlain by the ultrathin resin gel
and filter layer (GFL), which was also fixed with tape (Figure 1).
Figure 1
Scheme of the experimental design. Illustrated within
the diagram
is the rhizotron (RH), planar optode (PO), ultrathin resin gel and
filter layer (GFL), aquarium (AQ), rice plant (RP), camera (Cam.),
trigger box (Tri.), light-emitting diode (LED), and computer (Comp.).
The water level in both the rhizotron and aquarium is denoted by WL.
The diagram is not to scale.
Scheme of the experimental design. Illustrated within
the diagram
is the rhizotron (RH), planar optode (PO), ultrathin resin gel and
filter layer (GFL), aquarium (AQ), rice plant (RP), camera (Cam.),
trigger box (Tri.), light-emitting diode (LED), and computer (Comp.).
The water level in both the rhizotron and aquarium is denoted by WL.
The diagram is not to scale.
Seed Germination
Rice seeds (RIL 46) were sterilized
in 0.5% NaOCl for 10 min and rinsed 3 times with deionized water.
Seeds were soaked in deionized water overnight and then germinated
at 25 °C for 2 days. Seedlings were transferred to a nylon net
floating on 1/2 strength Hoagland’s solution,
in a greenhouse (12 h photoperiod with a light intensity of 379 ±
89 W m–2, day/night temperatures of 26.5 ±
2.4 and 20.2 ± 1.5 °C, respectively, CO2concentration
of 743 ± 31 mg/m3, and relative humidity of >70%).
The experimental campaign consisted of four components: Experiments
1 and 2 targeted the rhizospheres of rice seedlings. The first partnered
oxygen with metal measurements, and the latter partnered pH and metals.
Experiment 3 wasconducted without a plant, to ascertain the heterogeneity
of the soil. In experiment 4, abiotic conditions of the rhizophere
were simulated with an artificial root. In the oxygen optode experiments
(experiment 1), the rice was grown hydroponically for 2 weeks prior
to transplanting into the rhizotrons for a further 2 weeks. Transfer
of rice into the rhizotron soil was performed after 5 days in the
pH study (experiment 2), and the plants left to grow for 3 weeks before
sensor deployment.
Preparation of Rhizotrons
Perspex
rhizotrons with detachable
front plates[29] (inner dimensions of H × W × D =
40 × 10 × 1.5 cm) were filled with pre-moistened (∼10%,
wt/wt), sieved (<2 mm) A-horizon Cambisol with a pHCaCl of 5.4, and fine loam texture [1.7% Fe, 20 mg of Pb
kg–1 from aqua regia digestion, and <2 mg of
As kg–1 measured by X-ray fluorescence (XRF)], which
was tamped in layers to achieve a homogeneous soil structure with
a consistent bulk density of 1.3 kg L–1. Soils were
saturated evenly using a waterfeed system,[29] to enable the placement of Nuclepore membranes (0.2 μm pore
size and ∼10 μm thickness). The membrane ensures that
soil uniformity was maintained during sandwich sensor deployment and
avoided disturbance to roots and soil when the perpex covering window
was removed. Seedlings (RIL 46) were transplanted in close proximity
to the front plate of the rhizotron. Roots were encouraged to develop
alongside the membrane by setting the rhizotrons at an inclination
of 30–45°. In each case, the rooting/soil zones were kept
in darkness to avoid exposing the roots and associated soil to light,
which could affect the root development and induce microphytic growth.
Control (unplanted) systems accompanied planted experimental setups.
Optode Sensor Fabrication
The oxygen quenchable luminophore
platinum(II)-5,10,15,20-tetrakis(2,3,4,5,6-pentafluorphenyl)-porphyrin
(PtTFPP, http://www.frontiersci.com/) was chosen as an oxygen indicator.[33] PtTFPP and an antenna dye (coumarin C545, https://www.sigmaaldrich.com/) were mixed in a 1:2% (w/w) ratio, respectively, and dissolved in
4% (w/w) polystyrene using dichloromethaneas the solvent.For
the pH-sensitive optode, the lipophilic 8-hydroxy-1,3,6-pyrenetrisulfonic
acid trisodium (HPTS) indicator was chosen.[27,34] HPTS and an antenna dye (Macrolex yellowcoumarin, http://www.simon-und-werner.de/) were mixed in a 1.5:1.5% (w/w) ratio, respectively, and dissolved
in 10% (w/w) polyurethane hydrogel (Hydromed D4) in a 9:1 (v/v) ethanol/water
mixture.[27] For both the O2 and
pH sensor, the coumarin antenna dye was added to increase the brightness
of the respective indicator.[35]The
respective sensing cocktails were coated onto a 125 μm
thick transparent polyester foil (http://www.goodfellow.com/) using a homemade knife-coating
device. The final dry thickness of the sensing layers was ∼5
and ∼20 μm for the oxygen and pH sensor, respectively.
The cured sensing layers were additionally coated with a translucent
thick carbon powder containing a silicone or hydrogel layer for the
O2 and pH optode, respectively. The carbon-containing layer
was added to avoid wavelength-dependent scattering from roots and
soil.[27]
DGT
The DGT resin
gel used in the sensors was a suspended
particulate reagent–iminodiacetate (SPR–IDA).[36] The SPR–IDA resin was supplied pre-cleaned
as a 1 g suspension. A total of 10 mL of acrylamide (40%, BDH Electran)
and 2.5 mL of DGT cross-linker (DGT Research, Ltd.) were mixed together.
A total of 1 mL of this mixture was then added to 1 mL of SPR–IDA,
which forms a 5% SPR–IDA gel resin solution. To this solution,
14 μL of ammonium persulfate (BDH) and 4 μL of N,N,N,N-tetramethylethylenediamine (TEMED, BDH Electran) were added. The
gel solution was then immediately pipetted between two glass plates,
where a 0.05 mm spacer was used to ensure that the solution polymerized
into a gel with the desired thickness.[30] The glass plate assembly was then placed in a 45 °C oven for
1 h, after which the glass plates were separated and the resin gel
was placed into 0.5 L of ultrapure water (filtered by Millipore, 18.2
MΩ) and allowed to fully hydrate for a minimum of 24 h. Prior
to deployment, the resin gel was sandwiched between two acid-washed
polycarbonate filter membranes (Nucleopore, Whatman, 0.4 μm
pore size and 10 μm thickness). The combined thickness of the
hydrated resin gel and filter membranes was 0.07 mm. The polycarbonate
filter membranes served as a diffusion layer for the resin gel and
protected it from direct contact with the sediment. To minimize contamination,
all preparation and processing of gels was carried out in a laminar
flow class-100 clean bench within a clean room using ultraclean trace
metal techniques.
Planar Optode Imaging
Two planar
optode systems were
applied in this study. They were previously described in detail[27,37,38] and will only be described briefly.
O2 images were recorded with a fast gateable 12-bit camera
through a 590 nm long-pass filter. Excitation light was delivered
from four high-power light-emitting diodes (LEDs; λ peak = 445
nm; LXHL-LR3C, Luxeon) equipped with a 470 nm short-pass filter. Recorded
images were calibrated using the phosphorescent lifetime of known
O2concentrations (saturation in the overlying water and
0% air saturation in anoxic soil), using a modified Stern–Volmer
equation.[39]The pH images were recorded
using a standard digital single-lens reflex camera equipped with a
450 nm long-pass filter. Excitation light was delivered from five
high-power ultraviolet (UV) LEDs (λ peak = 405 nm; LZ1-10UA05,
LedEngin) equipped with a 405 nm short-pass filter. Recorded images
were calibrated using the intensity ratio of the blue and red images
recorded simultaneously by the camera, for known pH concentrations
using a four parameter sigmoidal curve.[27]
Combination of Sensors
The planar optode foil was attached
with tape (Scotch super 33+) to the inside of a transparent rhizotron
and, subsequently, overlain by the ultrathin resin gel and filter
layer (GFL). The backing membrane that facilitated transport was left
on. The GFL was fixed on the top of the planar optode with tape (Scotch
super 33+). After deployment, the GFL was rinsed with MQ water and
removed from the planar optode, using a Teflon-coated razor blade
and plastic forceps. It was placed immediately in a pre-cleaned sealable
polythene bag, double-bagged, and stored flat at 4 °C until analysis.
Before laser ablation, the GFL was mounted on a 0.04 cm thick hydrogel
layer backed by a hydrated polysulfone filter membrane. The stack
was left to partially air dry in a class-100 clean bench for 1 h before
being placed on thick blotting paper and covered with acid and MQ-washed
plastic film. Light pressure was then applied to the stacks for 12
h to enable further removal of water from the gels. Finally, the gels
were transferred to a gel drier (Bio-Rad model 543) at 50 °C
for 8 h. When completely dry, the gel was mounted onto glass panes
(6 × 5 × 0.4 cm) with double-sided adhesive tape while maintaining
the original area dimensions.[28]
Laser
Ablation–ICP–MS
Thermo X series
2 ICP–MS was operated with an Xs high-sensitivity interface
and Pt-tipped sampler and microskimmer cones. Calibration and detector
performance were optimized prior to commencing dry plasma tuning.
A Nd:YAG laser (New Wave, Cambridge, U.K.), with wavelength quadrupoled
to 213 mm, was equipped with a large format ablation cell (W × L × L =
15.24 × 15.24 × 2.54 cm). Line scans of the gels were conducted
at a scanning speed of 100 μm s–1, an interline
spacing of 400 μm, a beam diameter of 100 μm, and a repetition
rate of 20 Hz.[40] The ablation intensity
was set at 50%, which equated to a fluence of 0.012 J cm–2. During all runs, laser intensity and fluencies were automatically
logged to monitor laser stability. ICP–MS was tuned on m/z 7, 29, 59, 89, 115, 175, and 238 by
the continuous ablation of a certified reference material, National
Institute of Standards and Technology (NIST) 612 glass wafer (https://www-s.nist.gov/srmors/view_detail.cfm?srm=612). In addition, oxide formation (m/z 254/238), ArOH (m/z 57), ArAr
(m/z 79), and backgrounds (m/z 5 and 220) were monitored. ICP–MS
was used to record 13C, 52Cr, 53ClO, 55Mn, 57Fe, 59Co, 60Ni, 63Cu, 65Cu, 66Zn, 75As, 77ArCl, 82Se, 83Kr, 111Cd,
and 115In signals; the readout time for a single reading
was 0.266 s. See the Supporting Information for a summary of the element-specific limits of detection (LODs).
Carbon (m/z 13) was used as an internal
standard to cancel out variations in ablation, transport, and ionization
efficiency. Data processing wasconducted in Excel,[40] and DGT and optode images were produced in ImageJ 1.46r
[National Institutes of Health (NIH), Bethesda, MD].
Results
A sensor assembly with an O2-sensitive optode was deployed
with a DGT measurement window of 20 × 14 mm centered on a root
tip below the soil/water interface and encompassing aerobic and anaerobic
root zones (experiment 1 in Figure 2). An aerobic
zone surrounding the root tip in an otherwise anoxic soil was sustained
for the duration of the deployment, consistent with one-dimensional
measurements of the redox potentials in rice rhizospheres.[41] Fe(II) mobilization wascongruent to that of
the peripheral edge of the aerobic zone (as shown in the O2 optode image in Figure 3), demonstrating
that, in our experimental conditions, the Fe(II) mobilization maximum
only develops in a narrow O2 range (7–15% air saturation)
as the oxidation front penetrates the reducing soil. Averaged over
the apparent root tip with sub-saturated O2concentrations,
the Fe flux to the DGT resin was measured as 1572 ± 766 pg cm–2 s–1 (n = 50 averaged
measurements, each 0.24 mm2; Table 1), equating to a 27-fold increase in Fe availability compared to
the adjacent aerobic zone and a 3-fold enhancement over that of the
anaerobic bulk environment (Figure 3). These
differences between zones were confirmed statistically using the Mann–Whitney
test (p < 0.0001). Lead and As mobilization wascoincidental with that of Fe(II). There was generally enhanced mobilization
of Co, Ni, and Zn in the wider vicinity of the root, but this diminished
where the Fe(II) release peaked (Figure 3).
The DGT-measured flux is determined by the concentration adjacent
to the device surface. Although this surface concentration will be
modified by the DGT sink, the device cannot induce a localized maximum
or minimum. Rather, localized maxima in the flux reflect localized
maxima in the concentration,[42] indicating
a localized process of mobilization.
Figure 2
Oxygen distributions, imaged by a planar
optode sensor, within
a rice seedling rhizosphere. The O2 level (percent air
saturation) increased sequentially with the color scale shown from
black to white. The outlined position of the DGT ultrathin GFL that
is featured in Figure 3 is indicated by white
dash markings. This image is part of 36 images recorded in series,
with an interval time of 30 min.
Figure 3
Visualization of O2, Pb, Fe, As, Co, Mn, Zn, and Ni
around a set of rice roots. Measurements were made by deploying an
O2 optode–DGT sensor vertically in the anoxic soil
and encompassed a submerged root tip located 10 mm below the soil
surface. The metal fluxes (fDGT, pg cm–2 s–1) and oxygen concentration (percent
air saturation) increased sequentially with the color scale shown
from blue to white. The scales in the figure represent the following
ranges from 0 to 100 for O2, from 0.15 to 0.19 for Pb,
from 0.88 to 2328 for Fe, from 0.01 to 0.44 for As, from 0.05 to 0.94
for Co, from 0.43 to 173 for Mn, from 0.52 to 2.89 for Zn, and from
0.04 to 0.30 for Ni.
Table 1
DGT Flux Measurements for Pb, Fe,
As, Co, and Mn for Experiment 1a
Pb
Fe
As
Co
Mn
fDGT (pg cm–2 s–1)
fDGT (pg cm–2 s–1)
fDGT (pg cm–2 s–1)
fDGT (pg cm–2 s–1)
fDGT (pg cm–2 s–1)
root tip
0.171 ± 0.002
1572 ± 766
0.38 ± 0.1
0.29 ± 0.02
28 ± 1
microniche
0.166 ± 0.001
730 ± 152
0.04 ± 0.0
0.49 ± 0.09
61 ± 16
anaerobic bulk
soil
0.166 ± 0.000
578 ± 9
0.03 ± 0.0
0.33 ± 0.01
32 ± 1
aerobic rhizosphere
0.165 ± 0.000
58 ± 3
0.01 ± 0.0
0.24 ± 0.02
30 ± 1
Average ±
standard deviation
for 50 averaged measurements, each 0.24 mm2.
Oxygen distributions, imaged by a planar
optode sensor, within
a rice seedling rhizosphere. The O2 level (percent air
saturation) increased sequentially with the color scale shown from
black to white. The outlined position of the DGT ultrathin GFL that
is featured in Figure 3 is indicated by white
dash markings. This image is part of 36 images recorded in series,
with an interval time of 30 min.Visualization of O2, Pb, Fe, As, Co, Mn, Zn, and Ni
around a set of rice roots. Measurements were made by deploying an
O2 optode–DGT sensor vertically in the anoxic soil
and encompassed a submerged root tip located 10 mm below the soil
surface. The metal fluxes (fDGT, pg cm–2 s–1) and oxygenconcentration (percent
air saturation) increased sequentially with the color scale shown
from blue to white. The scales in the figure represent the following
ranges from 0 to 100 for O2, from 0.15 to 0.19 for Pb,
from 0.88 to 2328 for Fe, from 0.01 to 0.44 for As, from 0.05 to 0.94
for Co, from 0.43 to 173 for Mn, from 0.52 to 2.89 for Zn, and from
0.04 to 0.30 for Ni.Average ±
standard deviation
for 50 averaged measurements, each 0.24 mm2.A pH-sensitive optode was partnered
with DGT and deployed against
a different set of rice roots (same cultivar, RIL 46) grown in the
same soil (experiment 2). In contrast to the O2 optode
experiment, the rice grew for 3 weeks in the soil and, in that period,
developed a deeper root system. The DGT/optode sensors were positioned
8 cm below the soil–water interface, and a similar suite of
metals was measured. In agreement with the first experiment, Fe(II),
As, and Pb mobilization at the rice root tips exceeded that of the
bulk soil environment, while Co, Ni, and Cu were diminished (Figure 4). Planar optode measurements of pH demonstrated
a localized acidification around roots of ∼0.5 pH units, consistent
with one- and two-dimensional observations of root-associated pH changes,[26,43,44] because metal cations are liberated
from soil constituent surfaces as pH is lowered;[45] pH changes appear to be at least partially responsible
for the observed metal dynamics.
Figure 4
Two-dimensional representation of pH,
Pb, Fe, As, Co, Mn, Cu, and
Ni around a different set of rice root grown in the same soil at a
depth of 10.5 cm from the soil–water interface. The images
were obtained from a pH optode partnered with an ultrathin 0.05 mm
Chelex DGT. The blue to white color scale reflects a sequential increase
in metal fluxes (fDGT, pg cm–2 s–1) and pH. The scales in the figure range from
7.89 to 8.47 for pH, from 0.002 to 0.35 for Pb, from 0.8 to 261 for
Fe, from 0.11 to 0.72 for As, from 0.001 to 0.12 for Co, from 0.60
to 89 for Mn, from 0.04 to 0.09 for Cu, and from 0.05 to 0.15 for
Ni.
Two-dimensional representation of pH,
Pb, Fe, As, Co, Mn, Cu, and
Ni around a different set of rice root grown in the same soil at a
depth of 10.5 cm from the soil–water interface. The images
were obtained from a pH optode partnered with an ultrathin 0.05 mm
Chelex DGT. The blue to white color scale reflects a sequential increase
in metal fluxes (fDGT, pg cm–2 s–1) and pH. The scales in the figure range from
7.89 to 8.47 for pH, from 0.002 to 0.35 for Pb, from 0.8 to 261 for
Fe, from 0.11 to 0.72 for As, from 0.001 to 0.12 for Co, from 0.60
to 89 for Mn, from 0.04 to 0.09 for Cu, and from 0.05 to 0.15 for
Ni.Several other additional lines
of evidence for root-intensified
metal dynamics associated with local and pH minima O2 leakage
are available. The homogeneity of metal mobilization was interrogated
on a flooded soil-packed rhizotron (experiment 3 in Figure 5). The key features of the soil system without the
influence of the rice were uniform two-dimensional flux characteristics,
with the overlying water reflecting higher concentrations of Pb, Zn,
Cu, and Ni than in the anaerobic zone, which was typified by mobilization
of Fe, As, and Co. Manganese reduction occurs at higher redox potentials
than Fe, but Mn(II) is oxidized more slowly than Fe(II).[46] Figure 5 captures this
process well, as evidenced by mobilization occurring immediately above
the soil–water interface.
Figure 5
Characterizing the two-dimensional distributions
of Pb, Fe, As,
Zn, Mn, Co, Cu, and Ni in a system without a rice seedling. Deployment
of a 0.4 mm DGT GFL followed the same methodology as the sandwich
sensor. All other experimental features were kept the same as the
planted experiments. Metal fluxes (fDGT) are presented in pg cm–2 s–1. The soil–water interface is shown by the black dashed line.
The scales in the figure range from 0.20 to 0.21 for Pb, from 0.88
to 74 for Fe, from 0.01 to 0.35 for As, from 0.32 to 0.75 for Zn,
from 0.001 to 0.12 for Co, from 0.38 to 76 for Mn, from 0.17 to 0.19
for Cu, and from 0.04 to 17 for Ni.
Characterizing the two-dimensional distributions
of Pb, Fe, As,
Zn, Mn, Co, Cu, and Ni in a system without a rice seedling. Deployment
of a 0.4 mm DGT GFL followed the same methodology as the sandwich
sensor. All other experimental features were kept the same as the
planted experiments. Metal fluxes (fDGT) are presented in pg cm–2 s–1. The soil–water interface is shown by the black dashed line.
The scales in the figure range from 0.20 to 0.21 for Pb, from 0.88
to 74 for Fe, from 0.01 to 0.35 for As, from 0.32 to 0.75 for Zn,
from 0.001 to 0.12 for Co, from 0.38 to 76 for Mn, from 0.17 to 0.19
for Cu, and from 0.04 to 17 for Ni.To test whether the rice root was directly affecting the
metal
dynamics, an experiment wasconducted using an artificial root (experiment
4). An O2 flux into anaerobic soil, mimicking that of a
rice root, was achieved using 4 mm diameter silicone tubing with 1
mm thick walls (see Figure S1 of the Supporting
Information). Clear Fe(II) and Pb mobilization maxima corresponded
to where the oxidation front penetrated the reduced soil. Co, Ni,
and Zn were also mobilized from the soil solution, as observed in
the rhizosphere setup. This confirms that zones of metal depletion
around rice root tips cannot be explained by plant uptake alone and
suggests that simple chemical mechanisms are responsible or play a
significant role (see Figure S1 of the Supporting
Information). Mobilization of metals in the vicinity of O2 can also be due to sulfide oxidation.[28] Deployments of AgI DGT probes[47] in the rhizotrons after the sandwich-probe measurements demonstrated
the virtual absence of sulfide (<0.1 μM); therefore, this
mode of metal mobilization is unlikely in the current setup.Continued decomposition of organic matter under anoxic conditions
requires the reoxidation of intracellular electron acceptors produced
by catabolic reactions in excess of the requirements by anabolic respiration.
The fervency of the reduction process largely depends upon the availability,
abundance, and type of the decomposable organic compound.[48] “Hotspots” of reactive organic
material are a common phenomenon in submerged soils[49] and fuel-localized, microbial-driven reductive mobilization
of Fe, Mn, and associated trace metals.[48] Such a feature was observed approximately 8 mm away from the root
apex (Figure 3). Fluxes of Fe and Mn in the
microniche were statistically different from either the bulk soil
or root tip (Mann–Whitney test; p < 0.0001; n = 50; 0.24 mm2 averaged measurements). However,
the most prominent trends were the high fluxes observed in Pb, Zn,
Cu, and Ni. The elemental ratios of mobilized metals and the morphological
characteristics of this microniche were similar to those observed
previously for microniches[50] and distinctly
different from those observed adjacent to the root, indicating their
mechanistic separation (see Figure S2 of the Supporting
Information).
Discussion
Our findings are consistent
with a series of finely poised competitive
processes. The two main mechanisms to be considered are the physicochemical
process of Fe(II) diffusion and its chemical oxidation. AsFe(II)
diffuses from the reduced zone of submerged soil to an adjacent oxidized
zone, it accumulates as precipitated Fe(III)iron; this removal of
Fe from solution by oxidation is clearly visualized for the first
time (Figure 3) by simultaneous DGT and optode
measurements. Moving away from the core of the root zone, O2 released by the root will have reacted mainly with in situ Fe(II) to form Fe(III),[22] which is not
measured by DGT. As the periphery region is approached, the proportion
of the Fe(III)-forming Fe(II) that has diffused into the region increases.
The overall effect therefore is an enrichment of the root zone with
iron; although this phenomenon has been widely observed,[8,9,12−14] its dynamics
have not. By imaging the variations in solute fluxes across the root
zone, a series of striking trends emerges. First, the intensity and
sharpness of the Fe(II) flux maxima and its superimposition on the
outer boundary of the aerobic zone is suggestive of a dominant abiotic
process and supports the importance of the effect of oxidation-mediated
pH changes on Fe(II) mobility. Protons are released in the Fe(II)
oxidation process (eq 1), locally lowering the
pH. A maximum in Fe(II) can arise because (a) its oxidation, which
is very pH-sensitive, is slowed and/or (b) Fe(II) is desorbed from
the freshly formed oxide.Acidification by H+ release
from
roots, other efflux processes, and microbial metal release may further
compound the process, but these mechanisms alone do not explain the
tight association between O2 diffusion and Fe mobility,
with a similar mobility maxima being observed in the absence of a
plant (see Figure S1 of the Supporting Information).Diffusion gradients or a depletion of Fe(II) was not observed
in
the anaerobic bulk soil immediately adjacent to metal flux maxima
(Figure 3). On the basis of models of Fe(II)
diffusion toward the oxidation zone[25] and
considering the microscale resolution of the measurements, a decrease
in Fe(II) would have been predicted. The oxidation rate and Fe(II)
resupply from the bulk soil could partially account for this, because
this would impact the net rate of oxidation and the distribution of
iron species in the soil. The slower the rate, the further the oxidation
front would develop and the more effectively Fe(II) diffusion would
be able to match Fe(II)consumption via oxidation. A faster rate would
result in smaller depletion zones, less dispersion into the soil,
and hence, greater iron accumulation near the root surface. Higher
Feconcentrations would give rise to a larger net rate of oxidation.[25]The rice rhizosphere is an element sink
maintained by radial O2 loss, while adjustments to the
redox equilibrium can cause
localized accretions to disperse. Such variations may provide a possible
explanation of what is being observed at the root tips, namely, diffusion
of Fe(II) to the surrounding anaerobic soil, as indicated in Figure 6. In contrast, Figure 6 shows
that, in regions of the root zone aerobic/anaerobic interface, where
the Fe(II) flux maxima was not observed, there is a diffusion gradient
of Fe(II) from the bulk soil toward the redox interface. In a highly
dynamic system, as evident around the root apexes (Figures 3 and 4), multiple diffusion–oxidation
reactions would be overlaid, with the DGT measurement providing a
summation of these processes.
Figure 6
Fe(II) species in the soil solution with distance
from the root
zone. The far right inset indicates where the cross-sections (a and
b) were sampled.
Fe(II) species in the soil solution with distance
from the root
zone. The far right inset indicates where the cross-sections (a and
b) were sampled.Rice plants immobilize
trace metals in the root zone, which ensures
protection from toxicity,[51] but at the
same time must mine this elemental resource for essential nutrients.[12] It is in this paradox that the functionality
of the dynamic and heterogeneously[9] distributed
Fe plaques arises. The low Co, Ni, Cu, and Zn fluxes observed around
the root tip might simply be due to competition from other sinks,
i.e., plant or microbial uptake. However, given that this phenomenon
only occurred specifically within the As, Pb, and Fe(II) mobilization
maxima whether or not they formed in the presence of a plant, this
suggests a geochemical process.The sorption of trace metals
to Fe oxides is pH-sensitive, but
it is also well-established that elemental retention is in proportions
that both reflect solution composition and element-specific binding
properties.[45] Freshly formed oxyhydroxides
act as highly reactive surfaces for rapid immobilization of trace
metals by sorption, yet these most reactive phases are very amorphous
and more susceptible to rapid dissolution.[22] Pb has a particularly high affinity for Fe oxide,[52] with binding constants at least an order of magnitude higher
than Ni, Cu, Co, and Zn.[53,54] We hypothesize that
the localized mobilization of Pb in the root zone developed because
the desorptive release of Pb was faster than its concomitant removal
as fresh iron oxide forms. This proportionally higher release rate
for Pb would be aided by the reservoir/pool of Fe-oxide-captured Pb
being greater than that of the other metals. For the metals that do
not partition so strongly, namely, Co, Ni, Cu, and Zn, their pH-mediated
desorptive release did not outweigh their overall removal at any point
in the concentration gradient.The co-occurrence of As and Fe
flux maxima is not unexpected. Arsenic
is readily retained on Fe oxides, and their release often coincides.[55] Meanwhile, with the redox threshold for the
Fe(III)/Fe(II) transition lying close to the arsenate/arsenite boundary,
the transformation to arsenite would favor a more rapid and extensive
desorption.[19,21] Other mechanisms also are viable.
Acid-soluble phosphate pools can account for 90% of the phosphate
taken up in the rhizopheres of lowland rice. This includes phosphates
sorbed to ferrous carbonates and hydroxides and fractions that are
immobilized by Fe(II)-bridging mechanisms to negatively charged surfaces.[24] An analogous situation may also be occurring
in the case of arsenic release here. Fe dissolution mechanisms could
also play a role, but the time scale for this transformation would
be greater. Natural organic matter (NOM) release in flooded soils
can be substantial, occurring in less reducing conditions and faster
than Fe(II) mobilization. NOM can promote desorption of metals and
arsenic from solid phases by altering soil/solution equilibrium, both
directly by binding elements via ligand-exchange reactions or mediating
changes in redox conditions.[56]Root
iron plaques are a ubiquitous feature of wetland systems,
forming a discontinuous precipitate that encapsulates the roots of
not only rice but also many other aquatic plants. It is perhaps surprising
that rice exhibits such an inclination to accumulate As and Pb if
root plaques functioned solely to block metal uptake. This demonstration
of mobilization of metals within the plaque provides a new perspective
in understanding the supply of micronutrients and contaminants in
both ricecultivation and wetland soils more generally.
Authors: Andrew A Meharg; Paul N Williams; Eureka Adomako; Youssef Y Lawgali; Claire Deacon; Antia Villada; Robert C J Cambell; Guoxin Sun; Yong-Guan Zhu; Joerg Feldmann; Andrea Raab; Fang-Jie Zhao; Rafiqul Islam; Shahid Hossain; Junta Yanai Journal: Environ Sci Technol Date: 2009-03-01 Impact factor: 9.028
Authors: Gareth J Norton; Paul N Williams; Eureka E Adomako; Adam H Price; Yongguan Zhu; Fang-Jie Zhao; Steve McGrath; Claire M Deacon; Antia Villada; Alessia Sommella; Ying Lu; Lei Ming; P Mangala C S De Silva; Hugh Brammer; Tapash Dasgupta; M Rafiqul Islam; Andrew A Meharg Journal: Sci Total Environ Date: 2014-04-16 Impact factor: 7.963
Authors: Andreas Kreuzeder; Jakob Santner; Hao Zhang; Thomas Prohaska; Walter W Wenzel Journal: Environ Sci Technol Date: 2015-01-26 Impact factor: 9.028
Authors: Andreas Kreuzeder; Jakob Santner; Vanessa Scharsching; Eva Oburger; Christoph Hoefer; Stephan Hann; Walter W Wenzel Journal: Plant Soil Date: 2018-01-13 Impact factor: 4.192