Sage J B Dunham1, Joseph F Ellis1, Bin Li1, Jonathan V Sweedler1. 1. Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Abstract
In the two decades since mass spectrometry imaging (MSI) was first applied to visualize the distribution of peptides across biological tissues and cells, the technique has become increasingly effective and reliable. MSI excels at providing complementary information to existing methods for molecular analysis-such as genomics, transcriptomics, and metabolomics-and stands apart from other chemical imaging modalities through its capability to generate information that is simultaneously multiplexed and chemically specific. Today a diverse family of MSI approaches are applied throughout the scientific community to study the distribution of proteins, peptides, and small-molecule metabolites across many biological models. The inherent strengths of MSI make the technique valuable for studying microbial systems. Many microbes reside in surface-attached multicellular and multispecies communities, such as biofilms and motile colonies, where they work together to harness surrounding nutrients, fend off hostile organisms, and shield one another from adverse environmental conditions. These processes, as well as many others essential for microbial survival, are mediated through the production and utilization of a diverse assortment of chemicals. Although bacterial cells are generally only a few microns in diameter, the ecologies they influence can encompass entire ecosystems, and the chemical changes that they bring about can occur over time scales ranging from milliseconds to decades. Because of their incredible complexity, our understanding of and influence over microbial systems requires detailed scientific evaluations that yield both chemical and spatial information. MSI is well-positioned to fulfill these requirements. With small adaptations to existing methods, the technique can be applied to study a wide variety of chemical interactions, including those that occur inside single-species microbial communities, between cohabitating microbes, and between microbes and their hosts. In recognition of this potential for scientific advancement, researchers have adapted MSI methodologies for the specific needs of the microbiology research community. As a result, workflows exist for imaging microbial systems with many of the common MSI ionization methods. Despite this progress, there is substantial room for improvements in instrumentation, sample preparation, and data interpretation. This Account provides a brief overview of the state of technology in microbial MSI, illuminates selected applications that demonstrate the potential of the technique, and highlights a series of development challenges that are needed to move the field forward. In the coming years, as microbial MSI becomes easier to use and more universally applicable, the technique will evolve into a fundamental tool widely applied throughout many divisions of science, medicine, and industry.
In the two decades since mass spectrometry imaging (MSI) was first applied to visualize the distribution of peptides across biological tissues and cells, the technique has become increasingly effective and reliable. MSI excels at providing complementary information to existing methods for molecular analysis-such as genomics, transcriptomics, and metabolomics-and stands apart from other chemical imaging modalities through its capability to generate information that is simultaneously multiplexed and chemically specific. Today a diverse family of MSI approaches are applied throughout the scientific community to study the distribution of proteins, peptides, and small-molecule metabolites across many biological models. The inherent strengths of MSI make the technique valuable for studying microbial systems. Many microbes reside in surface-attached multicellular and multispecies communities, such as biofilms and motile colonies, where they work together to harness surrounding nutrients, fend off hostile organisms, and shield one another from adverse environmental conditions. These processes, as well as many others essential for microbial survival, are mediated through the production and utilization of a diverse assortment of chemicals. Although bacterial cells are generally only a few microns in diameter, the ecologies they influence can encompass entire ecosystems, and the chemical changes that they bring about can occur over time scales ranging from milliseconds to decades. Because of their incredible complexity, our understanding of and influence over microbial systems requires detailed scientific evaluations that yield both chemical and spatial information. MSI is well-positioned to fulfill these requirements. With small adaptations to existing methods, the technique can be applied to study a wide variety of chemical interactions, including those that occur inside single-species microbial communities, between cohabitating microbes, and between microbes and their hosts. In recognition of this potential for scientific advancement, researchers have adapted MSI methodologies for the specific needs of the microbiology research community. As a result, workflows exist for imaging microbial systems with many of the common MSI ionization methods. Despite this progress, there is substantial room for improvements in instrumentation, sample preparation, and data interpretation. This Account provides a brief overview of the state of technology in microbial MSI, illuminates selected applications that demonstrate the potential of the technique, and highlights a series of development challenges that are needed to move the field forward. In the coming years, as microbial MSI becomes easier to use and more universally applicable, the technique will evolve into a fundamental tool widely applied throughout many divisions of science, medicine, and industry.
Bacteria
influence nearly every aspect of life on earth. The estimated
one trillion bacterial species on our planet have successfully colonized
most habitable environments, from the depths of the Mariana Trench
to the limits of the stratosphere.[1−3] Far from behaving as
isolated and independent organisms, bacteria usually reside in surface-bound
multicellular communities where they work in concert to efficiently
harness surrounding nutrients, protect one another from adverse environmental
conditions, and launch coordinated expeditions in search of new territory.
The influence of microbial communities on humankind is beyond dispute:
bacteria, archaea, and fungi are both partners and adversaries to
our health, and they interact with plants and animals to influence
growth, vitality, disease, and many processes critical to life. In
an affirmation of the significance of these multispecies ecosystems,
our nation’s newest national research initiative—the
National Microbiome Initiative—seeks to develop a better understanding
of complex microbial communities and their relationship to food, energy,
and health.[4,5]Dynamic molecular processes define
many aspects of microbial life,
including behavioral coordination, antibiotic resistance, and competition
between groups. How do distinct single cell organisms coordinate their
actions? Intra- and interspecies bacterial communication occurs via
a density-dependent molecular exchange process termed quorum sensing,
in which individual cells secrete and sequester small-molecule messengers
and “sense” the surrounding population. As a result
of altered translation of ancillary genes, quorum sensing leads to
the coordinated onset of many complex behavioral patterns, including
surface colonization, biofilm formation, virulence, and programed
cell lysis.[6] For example, in the Gram-negative
bacterium Pseudomonas aeruginosa, a
well-studied model for biofilm formation, the interplay between two
quorum-sensing molecules (acyl-homoserine lactones from the las and rhl systems) control the expression
of up to 10% of the total genome.[7] Outside
of cell–cell communication, lipids, proteins, polysaccharides,
and extracellular DNA (collectively termed the “extracellular
polymeric substance” or EPS) shape the local microenvironment
and form a three-dimensional scaffolding, or biofilm, that supports
colony survival. From these examples and others, it is apparent that
molecular-level scientific evaluations are necessary both for understanding
how microbial systems function and for influencing this function.Much of our existing knowledge about the chemical environment in
microbial communities has arisen from genomics and transcriptomics,
which enable genes and their expected products to be probed without
prior knowledge of their identity. These studies are often followed
by targeted analytical approaches, such as bioluminescence, fluorescence
microscopy, or autoradiography, all of which provide temporal and
spatial detail but require analyte preselection. Oftentimes, less
targeted molecular characterization is required. Today’s most
chemically information-rich approaches include nuclear magnetic resonance,
vibrational spectroscopy and, to a greater extent, offline chromatographic
techniques such as liquid chromatography (LC) and gas chromatography
coupled to mass spectrometry (GC–MS).One attractive
approach that complements traditional chemical measurement
techniques by providing untargeted and highly multiplexed chemical
imaging data is mass spectrometry imaging (MSI). In MSI, the sample
is bombarded with a focused microprobe to induce desorption of chemical
compounds into the gas phase, where they are ionized and discriminated
on the basis of the mass-to-charge ratio (m/z) (Figure ). The desorption and ionization process is sequentially repeated
over the entire sample, and postprocessing of the position-correlated
mass spectra provides a series of false-color ion maps that display
the distribution and abundance of each ion.
Figure 1
General overview of MSI.
A focused microprobe desorbs molecules
into the gas phase, where they are ionized and electrically focused
into the mass analyzer. Subsequent mass-to-charge ratio (m/z) differentiation and detection produce a mass
spectrum for each point across the sample. The abundance of each ion
of interest is then plotted as a function of location to produce false-color
ion images of specific molecular features.
General overview of MSI.
A focused microprobe desorbs molecules
into the gas phase, where they are ionized and electrically focused
into the mass analyzer. Subsequent mass-to-charge ratio (m/z) differentiation and detection produce a mass
spectrum for each point across the sample. The abundance of each ion
of interest is then plotted as a function of location to produce false-color
ion images of specific molecular features.Since the first applications of MSI to microbiology in the
early
2000s,[8] the approach has been used in more
than 100 studies ranging from quantitative subcellular imaging of
symbiotic nitrogen fixation by bacteria inside shipworm gills[9] to profiling microbial metabolites across the
human skin surface.[10] Because of its unique
capability to interrogate complex samples with spatial and chemical
specificity and its complementarity to genomic and transcriptomic
measurements, MSI continues to offer unmatched molecular detail on
ever more complex microbial ecologies.This Account provides
an overview of the instrumentation and sample
preparation strategies for microbial MSI, highlights applications
that demonstrate the enormous potential of the technique, and describes
several existing measurement challenges and the potential routes by
which these challenges can be overcome. Interested readers are referred
to a comprehensive review of MSI[11] and
its specific application to microbiology.[12]
Current State of Technology
Much as a surgeon’s choice
of scalpel is contingent upon
the incision to be made, the microbiologist’s choice of MSI
sampling procedure and instrumentation should be determined by the
constraints imposed by the specific sample under examination. A comprehensive
survey of a chemically complex microbial community is not possible
with a single MSI experiment, as any given measurement ensemble is
capable of providing information on only a fraction of the molecules
present. The details of the chosen sample preparation and MSI instrumentation
determine which of these chemicals are observable.
Ionization
and Sample Preparation in Microbial MSI
Often the first choice
made when designing a microbial MSI experiment
is the ionization method, as this decision influences the obtainable
chemical coverage, the achievable spatial resolution, and the requirements
for sample preparation. Of the wide array of ionization approaches
reported in the literature, only three are commercially available
and commonly used in microbiology. These three approaches utilize
focused probes of light, primary ions, or electrospray solvents to
facilitate the process of desorption and ionization and are termed
matrix-assisted laser desorption/ionization (MALDI), secondary ion
mass spectrometry (SIMS), and desorption electrospray ionization (DESI),
respectively.
Matrix-Assisted Laser Desorption/Ionization
Representing
approximately half of all microbial MSI publications, MALDI offers
the most comprehensive coverage of molecular species. Lipids, peptides,
and proteins are all accessible with the proper matrix selection,
and the technique commonly achieves a spatial resolution of better
than 100 μm for microbial samples. The ultimate achievable spatial
resolution in an MSI experiment—generally defined as the measure
of how closely two objects can be and still be resolved—is
a function of not only instrument parameters (e.g., microprobe size,
raster width, sensitivity) but also properties inherent to the sample
itself, such as feature size and chemical abundance. Although uncommon,
resolutions of better than 5 μm have been demonstrated in MALDI
applications outside of microbiology by using specially adapted ion
optics and matrix application procedures.[13,14]Important applications of MALDI MSI in microbiology include
the visualization of chemical interactions between different species
of Pseudomonas aeruginosa and Staphylococcus aureus (Figure a),[15] characterization
of surfactants and peptides produced by different strains of Bacillus subtilis (Figure b),[16] imaging
of nutritionally dependent P. aeruginosa proteins produced in a heterogeneous drip-flow reactor (Figure c),[17] and characterization of the chemical response of P. aeruginosa to the addition of the antibiotic azithromycin
(Figure d).[18] These studies and many others illustrate the
potential of MALDI MSI in both fundamental biological discovery and
medical research.
Figure 2
Examples of MALDI MSI in microbiology. (a) Alkyl quinolines
produced
by P. aeruginosa in the presence of S. aureus. Reprinted with permission from ref (15). Copyright 2016 Macmillan
Publishers Ltd. (b) Surfactants and peptides produced by colony biofilms
of B. subtilis. Adapted from ref (16). Copyright 2016 American
Chemical Society. (c) Nutritionally dependent P. aeruginosa proteins from a heterogeneous biofilm grown in a drip-flow reactor.
Adapted with permission from ref (17). Copyright 2016 Nature Publishing Group under
a Creative Commons CC-BY license. (d) Chemical response of two strains
of P. aeruginosa in the presence of
the antibiotic azithromycin. Adapted with permission from ref (18). Copyright 2015 Springer.
See the original references for more information on the specific bacterial
strains used and the identities of all of the ions. *, Surfactin-C14; ,
Plipastatin-C17-Val.
Examples of MALDI MSI in microbiology. (a) Alkyl quinolines
produced
by P. aeruginosa in the presence of S. aureus. Reprinted with permission from ref (15). Copyright 2016 Macmillan
Publishers Ltd. (b) Surfactants and peptides produced by colony biofilms
of B. subtilis. Adapted from ref (16). Copyright 2016 American
Chemical Society. (c) Nutritionally dependent P. aeruginosa proteins from a heterogeneous biofilm grown in a drip-flow reactor.
Adapted with permission from ref (17). Copyright 2016 Nature Publishing Group under
a Creative Commons CC-BY license. (d) Chemical response of two strains
of P. aeruginosa in the presence of
the antibiotic azithromycin. Adapted with permission from ref (18). Copyright 2015 Springer.
See the original references for more information on the specific bacterial
strains used and the identities of all of the ions. *, Surfactin-C14; ,
Plipastatin-C17-Val.Because of their high water content and the propensity for
analytes
to migrate during handling, microbial samples cultivated on agar are
challenging to analyze with MSI. These challenges are often exacerbated
by the MALDI matrix application process. One simple method developed
specifically for agar-bound microbes is to apply dry matrix to the
hydrated colony with a sieve followed by oven drying at 37 °C.[19] Recently, spray-based matrix application to
both hydrated[20] and dry[21] agar samples was shown to provide reproducible ion images.
Another challenge with agar is that thick, nonconductive samples can
become electrically charged under laser irradiation, potentially leading
to signal decay over the duration of an image.[19] This impediment can be overcome by using agar with an ultimate
dry thickness of less than 50 μm or potentially by sputter-coating
the sample with a few nanometers of a conductive material prior to
imaging. These examples illustrate that method optimization is often
required when using the unique samples present in microbiology.Although issues are certain to arise during the adaptation process,
many of the traditional methods for applying MALDI matrices to animal
tissues are applicable to dehydrated microbial communities. Researchers
are also encouraged to look to “matrix-free” methods
for laser desorption/ionization (LDI), which primarily utilize UV-absorbing
nanoparticles, metal overlays, or nanostructured surfaces.[22] Whether adapting existing approaches or developing
entirely new methods, one should take care to perform the appropriate
control and replicate experiments. As the title of Richard Goodwin’s
excellent 2012 review suggests, “Small mistakes [in MSI sample
preparation] can lead to big consequences.”[23]
Secondary Ion Mass Spectrometry
Ion beams can be focused
to exceptionally small spot sizes, allowing SIMS to achieve a lateral
resolution of better than 50 nm for monatomic and diatomic secondary
ions such as C–, S–, and CN–. This approach (dubbed NanoSIMS) is especially powerful
when coupled to metabolic function experiments through stable isotope
labeling or cytogenetic identification via fluorescence in situ hybridization
(FISH). A recent example of NanoSIMS with FISH metabolic labeling
is shown in Figure a.[24]
Figure 3
Examples of SIMS imaging in microbiology.
(a) (i) FISH and (ii–iv)
NanoSIMS imaging of the filamentous cyanobacterium Anabaena sp. and Rhizobium sp. In (ii), Rhizobium sp. is labeled with fluorine using ALF968 dye, while in (iii) and
(iv) Anabaena sp. metabolically incorporates 15N-dinitrogen and 13C-bicarbonate. Adapted with
permission from ref (24). Copyright 2008 American Society for Microbiology. (b) Bi3+-TOF-SIMS imaging of a B. subtilis swarming community imprinted onto a silicon wafer. (i) Microscopy
image of the community prior to imprinting. (ii) Low- and (iii–v)
high-resolution TOF-SIMS images of the sum of all surfactant ions.
Adapted with permission from ref (26). Copyright 2008 John Wiley and Sons. (c) Quinolones
and quinolines produced by static (i) P. aeruginosa microcolonies, (ii) planktonic culture, and (iii) 7 h biofilms.
Mass spectra are averages of four pixels from the regions indicated
by the red arrows. Reproduced with permission from ref (28). Copyright 2015 Royal
Society of Chemistry.
Examples of SIMS imaging in microbiology.
(a) (i) FISH and (ii–iv)
NanoSIMS imaging of the filamentous cyanobacterium Anabaena sp. and Rhizobium sp. In (ii), Rhizobium sp. is labeled with fluorine using ALF968 dye, while in (iii) and
(iv) Anabaena sp. metabolically incorporates 15N-dinitrogen and 13C-bicarbonate. Adapted with
permission from ref (24). Copyright 2008 American Society for Microbiology. (b) Bi3+-TOF-SIMS imaging of a B. subtilis swarming community imprinted onto a silicon wafer. (i) Microscopy
image of the community prior to imprinting. (ii) Low- and (iii–v)
high-resolution TOF-SIMS images of the sum of all surfactant ions.
Adapted with permission from ref (26). Copyright 2008 John Wiley and Sons. (c) Quinolones
and quinolines produced by static (i) P. aeruginosa microcolonies, (ii) planktonic culture, and (iii) 7 h biofilms.
Mass spectra are averages of four pixels from the regions indicated
by the red arrows. Reproduced with permission from ref (28). Copyright 2015 Royal
Society of Chemistry.Highly focused ion beams induce molecular fragmentation that
limits
the observable mass range and causes damage accumulation at or just
below the sample surface. To partially alleviate these effects, polyatomic
ions (e.g., Bi3+ or C60+) or large gas clusters (e.g., Ar+ or (H2O)+) are often employed as projectile sources for biomolecular SIMS
imaging. These ion sources have extended the usable mass range of
SIMS to above m/z 2000 and enabled
3D imaging; however, limitations in primary ion flux and focusing
capacity currently restrict the achievable lateral resolution to about
3 μm for lipids.[25]In principle,
SIMS imaging requires little to no sample preparation,
but the specimen must be dry and vacuum-stable, and, depending on
the ion optics, it may also need to be conductive and microscopically
flat. These limitations have historically prevented direct SIMS imaging
of microbial communities on agar—an important growth substrate
required for many microbiology experiments. Debois et al.[26] circumvented issues with charging and surface
architecture by imprint-transferring surfactants produced by swarming B. subtilis onto a silicon wafer (Figure b). Many researchers avoid
agar by cultivating samples directly on conductive silicon wafers,
which can be dehydrated and analyzed directly.[27,28]Figure c shows a
series of SIMS images of alkyl quinolone signaling molecules collected
from P. aeruginosa communities grown
on or transferred to silicon wafers.[28] The
advent of new SIMS instruments with orthogonal mass analyzers should
reduce the impact of topographical variations and conductivity and
therefore allow direct SIMS imaging of agar-bound communities.[29]As with MALDI, there is considerable interest
in sample treatments
that enhance SIMS ion yields. Because of an overall increase in ion
availability, these protocols are also expected to produce improvements
in molecular coverage and spatial resolution. Using C60+-SIMS, our lab demonstrated that a thin layer of gold
selectively enhances the yields of quinolone cell-to-cell signaling
molecules and rhamnolipid biosurfactants in P. aeruginosa bacterial biofilms while simultaneously suppressing background ions
from the cell-culture medium,[30] and previously
we employed a similar tactic for enhanced ionization with monatomic
(Au+) primary ion beams.[29]
Desorption Electrospray Ionization
Although DESI is
an ambient ionization method and should therefore be applicable for
direct imaging of hydrated (and live) microbial samples, the technique
works best on hard, uniform surfaces.[31] This experimental constraint makes it difficult to image many sample
types without prior dehydration. As with SIMS and MALDI, imprinting
onto an amenable substrate prior to DESI imaging has been shown to
be effective. An example of imprint DESI MSI used to visualize interacting
communities of B. subtilis and Streptomyces coelicolar is presented in Figure a.[32] A number of blotting surfaces, such as polytetrafluoroethylene
(PTFE), porous Teflon, TLC plates, C-18 beads, and cellulose membranes,
have been reported as viable substrates for indirect DESI MSI.[33] The simplest approach to DESI imaging, and the
one that is reported to offer the best results, is to image following
cultivation on thin agar and vacuum desiccation (Figure b).[34]
Figure 4
Examples
of DESI MSI in microbiology. (a) Imprint imaging of interacting
communities of B. subtilis and S. coelicolor. Adapted from ref (32). Copyright 2010 American
Chemical Society. (b) Ion images of iron-scavenging siderophores at
different times during the growth of Streptomyces wadayamensis. Samples were grown on thin agar and vacuum-desiccated prior to
imaging. Adapted from ref (34). Copyright 2015 American Chemical Society. (c) NanoDESI
liquid microjunction probe design and ion images of living S. coelicolor colonies on agar. Adapted from ref (35). Copyright 2013 American
Chemical Society.
Examples
of DESI MSI in microbiology. (a) Imprint imaging of interacting
communities of B. subtilis and S. coelicolor. Adapted from ref (32). Copyright 2010 American
Chemical Society. (b) Ion images of iron-scavenging siderophores at
different times during the growth of Streptomyces wadayamensis. Samples were grown on thin agar and vacuum-desiccated prior to
imaging. Adapted from ref (34). Copyright 2015 American Chemical Society. (c) NanoDESI
liquid microjunction probe design and ion images of living S. coelicolor colonies on agar. Adapted from ref (35). Copyright 2013 American
Chemical Society.Direct MSI of living
colonies has been accomplished through the
use of “nanospray” DESI, an ionization approach that
implements a small liquid microjunction as an extraction probe. NanoDESI
has been applied to image living communities of Shewanella
oneidensis, B. subtilis, and S. coelicolor as well as mixed
biofilms (Figure c).[35] While topographical irregularities are a complicating
factor for all ionization modalities, they can be especially challenging
for NanoDESI, as they disrupt the liquid microjunction. This complication
can be overcome by way of a feedback mechanism that adjusts the sample-to-microjunction
distance on the basis of the local topography.[35]
Mass Analyzers for Microbial MSI
The choice of mass
analyzer is as important as the modality of ionization, as this selection
will determine the range of detectable ions and the confidence of
the chemical assignments. Important considerations include mass accuracy
(deviation between the theoretical mass and the measured mass), mass
resolving power or resolution (smallest difference between two peaks
such that the valley between is discernible by a specified fraction
of the peak height), mass range (minimum and maximum detectable m/z values), data acquisition speed, and
tandem-MS (MS/MS) capabilities, with the details on specific figures
of merit being similar to those for other MSI applications.[36]As is the case for all MS methods, identification
of isomers, which share elemental compositions (and therefore m/z values), and isobars, which differ
by small fractions of an m/z value,
can be exceptionally challenging. Isobars can be distinguished using
instruments with high mass accuracy and high mass resolving power,
such as Fourier transform ion cyclotron resonance (FT-ICR) and Orbitrap
mass spectrometers, which are capable of differentiating mass deviations
smaller than 1 ppm. Although high-resolving-power analyzers are well-suited
for differentiating isobars and for determining elemental composition
through isotopic fine structure, they are relatively slow when it
comes to acquiring the hundreds of thousands of mass spectra that
can be present in a single MS image. For example, to achieve a mass
resolving power of 50 000 (full width at half-maximum) at m/z 1000, a typical Orbitrap or FT-ICR
instrument requires an acquisition time of about 1 s/pixel, while
a time-of-flight (TOF) analyzer can achieve a similar resolving power
in less than 0.1 s/pixel. Additionally, the large data files arising
from images obtained at high mass resolving power can quickly become
cumbersome, resulting in images of several terabytes. For these reasons,
most commercial imaging instruments are equipped with TOF analyzers,
which have the added benefit of compatibility with pulsed microprobes,
such as lasers and ion beams.Identification of isomers is more
challenging and often cannot
be accomplished with MS alone. MS/MS fragmentation offers some clues,
as it allows for comparison of the fragmentation spectrum of the unknown
analyte to those from an analytical standard or an online repository,
e.g., METLIN (metlin.scripps.edu), KNApSAck (kanaya.naist.jp/KNApSAcK), Lipidomics Gateway (lipidmaps.org), and the RIKEN MS spectral database
(spectra.psc.riken.jp). Many
available MSI instruments, including hybrid TOF configurations, such
as a quadrupole TOF (QTOF) or a TOF/TOF, are capable of MS/MS. SIMS
instrument manufacturers have been slow to adapt to the imperatives
of the biological imaging community, and most instruments are made
with either magnetic sector or single-stage TOF analyzers, which are
relatively low resolution, strongly influenced by topography, and
not capable of MS/MS. Promising developments include the release of
a novel ion bunching-TOF-SIMS by Ionoptika Ltd., a TOF/TOF-SIMS from
Physical Electronics, and an Orbitrap/TOF-SIMS from ionTOF and Thermo
Scientific, all of which are equipped with MS/MS capabilities.Isobars and isomers are particularly challenging for imaging experiments,
as a single m/z value can arise
from different compounds. One approach to resolve this issue is to
use MS/MS in conjunction with MSI. In an example relevant to microbiology,
our lab applied SIMS MS/MS imaging to map the distribution of two
isomeric analyte pairs, Pseudomonasquinolone signal (PQS, 2-heptyl-3-hydroxy-4-quinolone) and 4-hydroxy-2-heptylquinoline-N-oxide (HQNO) and the nine-carbon variants C9-PQS and NQNO, across static P. aeruginosa biofilms (Figure ). MS/MS imaging showed the N-oxide species to be
localized in high-abundance zones throughout the sample (visible as
high-intensity spots in the MS/MS images for the m/z 159.08 peak of NQNO (Figure a) and HQNO (Figure b)), whereas C9-PQS and PQS were
at lower abundance and distributed more evenly.[28]
Figure 5
C60-SIMS product ion imaging to differentiate the PQS/HQNO
and C9-PQS/NQNO isomeric pairs on two adjacent regions
of a P. aeruginosa biofilm. (a) Product
of m/z 288 for C9-PQS
and NQNO. (b) Product of m/z 260
for PQS and HQNO. Fragments arising from PQS and C9-PQS
are shown in purple, while those arising from N-oxides
are shown in red. The white arrows indicate the approximate locations
of the subsequent higher-magnification images. Reproduced with permission
from ref (28). Copyright
2015 Royal Society of Chemistry.
C60-SIMS product ion imaging to differentiate the PQS/HQNO
and C9-PQS/NQNO isomeric pairs on two adjacent regions
of a P. aeruginosa biofilm. (a) Product
of m/z 288 for C9-PQS
and NQNO. (b) Product of m/z 260
for PQS and HQNO. Fragments arising from PQS and C9-PQS
are shown in purple, while those arising from N-oxides
are shown in red. The white arrows indicate the approximate locations
of the subsequent higher-magnification images. Reproduced with permission
from ref (28). Copyright
2015 Royal Society of Chemistry.While MS/MS imaging has obvious utility for isomeric imaging,
the
technique is limited in terms of throughput, as—with some notable
exceptions[37] —only a single precursor
ion can be examined with each image collection. One possibility for
retaining the multiplexed capabilities of MSI while improving chemical
specificity is to incorporate an ion mobility (IM) drift cell into
a traditional MSI instrument. In IM-MS, gas-phase ions are separated
on the basis of their collisional cross sections prior to MS detection,
allowing some isomers and isobars to be differentiated by shape. Commercial
IM-MSI instruments have been available for several years, and multiple
applications have been demonstrated for tissue imaging.[38] In an example with relevance to microbiology,
Li and co-workers[39] complemented MSI with
IM-MS to identify and image molecules related to growth, metabolism,
and antibiotic inhibition in bacterial colonies. IM-MSI is a leading
technology with potential to alleviate the chemical ambiguity in imaging
data.Another attractive approach for increasing chemical coverage
and
specificity is to use a combination of several complementary imaging
approaches to analyze the same or similar samples. Such combinatorial
approaches are commonly termed “correlated” or “multimodal”
imaging. For example, when studying multispecies communities with
NanoSIMS it is often advantageous to incorporate FISH and/or electron
microscopy. This allows accurate pairing of chemical information with
cell identity and colony morphology.[24] Our
lab has also found it advantageous to image microbial samples with
a combination of MS and confocal Raman microscopy, a nondestructive
vibrational imaging technique that provides information on the composition
of functional groups and is applicable to living communites.[27,28] We anticipate multimodal imaging approaches to become increasingly
necessary as biological inquiries grow in complexity.
Prevailing
Challenges for Microbial MSI
Of the tools available to the
modern scientist, MSI is uniquely
capable of untargeted interrogation of chemically complex systems
with a high degree of spatial and chemical specificity. Since its
introduction, the utility of MSI has been affirmed by numerous applications
and their resulting discoveries. Despite this progress, there remains
significant room for improvement in terms of both the technical aspects
of the methods and the systems to which these methods can be applied.
The following developmental challenges will help overcome many existing
barriers in microbial MSI.
Challenge #1: Robust Sampling Protocols and
Ionization Methods
That Enable Interrogation of Samples in Their Endogenous Chemical
and Physical States
Most imaging experiments are currently
conducted while the sample is under vacuum, which requires prior desiccation.
Nonetheless, a number of promising ionization approaches operate under
ambient conditions and should be adaptable to examine living microbial
communities. Beyond NanoDESI, several other liquid extraction techniques
are in use (as recently reviewed by Laskin and Lanekoff[40]). Ambient SIMS and MALDI have also been demonstrated.
TOF-SIMS has been used to examine hydrated P. aeruginosa biofilms in a unique vacuum-compatible microfluidic reactor[41] as well as HeLa cells in their frozen-hydrated
state.[42] Another promising method is to
use infrared lasers with MALDI, which rely on water as the matrix
and therefore allow for hydrated imaging.[43] To be applicable for a broader segment of scientists, these ambient
ionization approaches need to become more robust and either be incorporated
into commercial instruments or made available as affordable off-the-shelf
attachments.
Challenge #2: Relative and Absolute Quantitation
In
perhaps what represents the biggest challenge for the MSI community
as a whole, it has been repeatedly shown that small sample differences—in
terms of morphology, local salt concentration, or hardness—dramatically
affect ionization efficiency and, as a result, the observed molecular
distribution.[19,44] Difficulties can also arise when
comparing the concentration of one analyte to that of another, as
small differences in chemical structure can lead to large variations
in ionization efficiency. As an example, the same molecule localized
to different nanoenvironments, whether associated with a protein complex
inside the cell or within a specific subdomain of the EPS, can exhibit
large differences in extraction and ionization yields, and these differences
cannot be easily recapitulated with externally applied standards.
For these reasons, it is often necessary to combine MSI with other
molecular imaging modalities or to follow MSI with localized extraction
and quantitative analysis via an established approach such as LC–MS.[18] While it is conceivable to perform secondary
verification procedures with every imaging experiment, this process
is prohibitively time-consuming and expensive. Thus, there is a substantial
need for imaging methods that are inherently quantitative and not
reliant on secondary verification. Outside of NanoSIMS, we are aware
of no published report on quantitative microbial MSI, but many existing
approaches, including those used for tissue imaging[45] and drug penetrance studies,[46] should be adaptable.
Challenge #3: Specialized Sampling Protocols
for Low-Abundance
or Difficult-to-Access Chemicals or Chemical Classes
In its
current state, MSI samples only a tiny fraction of the available chemical
information in a microbial community. Although many important compounds
can be easily studied using existing approaches, some analytes—particularly
those that are low in concentration, labile, or difficult to ionize—require
specialized procedures. We expect that these efforts will focus on
in situ derivatization to target specific analyte classes and enhance
ionization,[47,48] the use of nanomaterials for
SIMS and LDI,[22] and the development of
novel organic matrices.
Challenge #4: Improving Instrumentation and
Sampling Protocols
To Enable Routine Access to Chemical Environments across Many Dimensions
of Space and Time
The chemical dynamics of microbial ecosystems
occurs over many orders of magnitude in both space and time. On one
end of the spectrum, microbes interact with their environment on a
massive scale, influencing the chemistries of oceans, soils, and our
built environments. On the other hand, comprehending microbial communities
as a whole often requires understanding the microscopic contributions
of individual bacteria on millisecond time scales. Studying these
diverse systems will require a collection of innovative analytical
approaches. We need to draw on the emerging field of 3D chemical cartography[10] to map the chemical contributions of bacteria
across massive environments. We should develop our analytical platforms
to improve sensitivity and spatial resolution (which often go hand-in-hand)
for routine submicron chemical imaging.
Challenge #5: Developing
and Nurturing Collaborations among
Scientists from Diverse Fields
Directly addressing the grand
challenges within the microbiome requires collaboration among scientists
with vastly different expertise. This is even more important when
the system under study is composed not only of microbes but also of
microbes interacting with some component of their environment, whether
it be natural (e.g., soil, plants, animals, decomposing vegetation,
minerals) or a human construct (e.g., water pipes, oil pipelines,
implanted medical devices, food processing machinery). These collaborations
need to be established both among scientists with different analytical
skills—such as spectrometrists, spectroscopists, and geneticists—and
at a broader intellectual level among physicians, industrial scientists,
and academics.
Concluding Remarks
We expect multiple
research areas to gain from microbial MSI in
the coming years. There is great potential for fundamental biological
discovery and for understanding cellular heterogeneity, cell-to-cell
signaling, the general chemical dynamics of single and multispecies
microbial communities, and the interactions of the microbiome with
its host. As an example, with over two million deaths per year caused
by bacterial infections and close to 70% of pathogenic bacteria currently
resistant to standard antibiotics, there is a critical need to elucidate
the various mechanisms behind antibiotic resistance in order to develop
new treatment strategies.[49]Similarly,
we need to further our understanding of the complex
chemical interactions that occur in plant root/microbial communities;
the changing environmental challenges impacting agriculture and bioenergy
require enhanced approaches to understand these complex ecologies.
In addition to bacteria, our understanding of the chemical processes
underlying other microbial communities, including yeast, fungi, and
archaea, could greatly benefit from the discovery power of MSI. As
microbial MSI methods continue to become more rigorous, simpler to
implement, and more accepted by a broader audience, the technique
will become an essential chemical imaging tool ubiquitously employed
by microbiologists in diverse sectors of science and industry.
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