Review Special Issues

Use of plant growth-promoting bacteria to facilitate phytoremediation

  • Here, phytoremediation studies of toxic metal and organic compounds using plants augmented with plant growth-promoting bacteria, published in the past few years, were summarized and reviewed. These studies complemented and extended the many earlier studies in this area of research. The studies summarized here employed a wide range of non-agricultural plants including various grasses indigenous to regions of the world. The plant growth-promoting bacteria used a range of different known mechanisms to promote plant growth in the presence of metallic and/or organic toxicants and thereby improve the phytoremediation ability of most plants. Both rhizosphere and endophyte PGPB strains have been found to be effective within various phytoremediation schemes. Consortia consisting of several PGPB were often more effective than individual PGPB in assisting phytoremediation in the presence of metallic and/or organic environmental contaminants.

    Citation: Elisa Gamalero, Bernard R. Glick. Use of plant growth-promoting bacteria to facilitate phytoremediation[J]. AIMS Microbiology, 2024, 10(2): 415-448. doi: 10.3934/microbiol.2024021

    Related Papers:

    [1] Ivana Sirangelo, Margherita Borriello, Gaetano Irace, Clara Iannuzzi . Intrinsic blue-green fluorescence in amyloyd fibrils. AIMS Biophysics, 2018, 5(2): 155-165. doi: 10.3934/biophy.2018.2.155
    [2] Alessandro Didonna, Federico Benetti . Post-translational modifications in neurodegeneration. AIMS Biophysics, 2016, 3(1): 27-49. doi: 10.3934/biophy.2016.1.27
    [3] Nick K. Olrichs, J. Bernd Helms . Novel insights into the function of the conserved domain of the CAP superfamily of proteins. AIMS Biophysics, 2016, 3(2): 232-246. doi: 10.3934/biophy.2016.2.232
    [4] Jany Dandurand, Angela Ostuni, Maria Francesca Armentano, Maria Antonietta Crudele, Vincenza Dolce, Federica Marra, Valérie Samouillan, Faustino Bisaccia . Calorimetry and FTIR reveal the ability of URG7 protein to modify the aggregation state of both cell lysate and amylogenic α-synuclein. AIMS Biophysics, 2020, 7(3): 189-203. doi: 10.3934/biophy.2020015
    [5] Nicola Gaetano Gatta, Gaetano Cammarota, Vittorio Gentile . Possible roles of transglutaminases in molecular mechanisms responsible for human neurodegenerative diseases. AIMS Biophysics, 2016, 3(4): 529-545. doi: 10.3934/biophy.2016.4.529
    [6] J. Dandurand, E. Dantras, C. Lacabanne, A. Pepe, B. Bochicchio, V. Samouillan . Thermal and dielectric fingerprints of self-assembling elastin peptides derived from exon30. AIMS Biophysics, 2021, 8(3): 236-247. doi: 10.3934/biophy.2021018
    [7] Daniela Meleleo, Cesare Sblano . Influence of cholesterol on human calcitonin channel formation. Possible role of sterol as molecular chaperone. AIMS Biophysics, 2019, 6(1): 23-38. doi: 10.3934/biophy.2019.1.23
    [8] Marek K. Korzeniowski, Barbara Baird, David Holowka . STIM1 activation is regulated by a 14 amino acid sequence adjacent to the CRAC activation domain. AIMS Biophysics, 2016, 3(1): 99-118. doi: 10.3934/biophy.2016.1.99
    [9] Nicole Shamitko-Klingensmith, Jonathan W. Boyd, Justin Legleiter . Microtubule modification influences cellular response to amyloid-β exposure. AIMS Biophysics, 2016, 3(2): 261-285. doi: 10.3934/biophy.2016.2.261
    [10] Yu-Ting Huang, Hui-Fen Liao, Shun-Li Wang, Shan-Yang Lin . Glycation and secondary conformational changes of human serum albumin: study of the FTIR spectroscopic curve-fitting technique. AIMS Biophysics, 2016, 3(2): 247-260. doi: 10.3934/biophy.2016.2.247
  • Here, phytoremediation studies of toxic metal and organic compounds using plants augmented with plant growth-promoting bacteria, published in the past few years, were summarized and reviewed. These studies complemented and extended the many earlier studies in this area of research. The studies summarized here employed a wide range of non-agricultural plants including various grasses indigenous to regions of the world. The plant growth-promoting bacteria used a range of different known mechanisms to promote plant growth in the presence of metallic and/or organic toxicants and thereby improve the phytoremediation ability of most plants. Both rhizosphere and endophyte PGPB strains have been found to be effective within various phytoremediation schemes. Consortia consisting of several PGPB were often more effective than individual PGPB in assisting phytoremediation in the presence of metallic and/or organic environmental contaminants.


    Abbreviations

    ACC:

    1-aminocyclopropane-1-carboxylate; 

    PGPB:

    plant growth-promoting bacteria; 

    IAA:

    indole 3-acetic acid; 

    PCBs:

    polychlorinated biphenyls; 

    PAHs:

    polyaromatic hydrocarbons

    Alzheimer's disease (AD) is a fatal neurodegenerative disorder that is the most prevalent form of dementia. The neuropathological and neurochemical hallmarks of AD include: Synaptic loss and selective neuronal cell death; decreases in markers for certain neurotransmitters; and abnormalities in neurons and their processes as well as in the extracellular space. Two of the main features associated with AD are neurofibrillary tangles comprised of the protein tau and cerebrovascular, diffuse, and neuritic plaques composed predominantly of the amyloidogenic peptide amyloid-β (Aβ). These proteinaceous deposits of tau and Aβ consist of stable amyloid fibrils, which are β-sheet rich fibrous protein agammaegates. Similar deposition of amyloid is associated with numerous other diseases [1].

    In the early 90's, the amyloid cascade hypothesis was introduced, which postulated that Aβ agammaegation and deposition directly lead to neuronal death, resulting in AD [2]. Yet, the correlation between plaques and cognitive dysfunction in AD has been questionable for years [3][7], and with Aβ-directed therapeutic strategies failing in numerous clinical trials, the role of Aβ in AD progression is being re-evaluated [8][11]. This has led to an enhanced research focus on diffuse, soluble agammaegates of Aβ. Various small, globular agammaegates of Aβ, referred to broadly as Aβ oligomers (AβO), were detected in AD patients a few decades ago [12][14], and these AβO were originally classified as being intermediates toward the formation of amyloid fibrils. Over the years, increasing evidence points toward AβOs playing a central role in AD, as AβOs correlate more strongly with AD progression in patients and animal models [15][19]. For example, AβO formation and buildup occurs early compared with plaque buildup (much earlier than plaque deposition) in the AD brain [20][22]and CSF [23], which has led to extensive efforts to develop assays to detect AβOs for potential application as biomarkers [24][31].

    An extensive body of evidence has linked high levels of AβOs in the brain to a variety of pathogenic consequences associated with AD (summarized in Table 1). As such, there has been significant effort made to characterize AβO formation, structure, and biochemical/biophysical characteristics (such as interactions with other proteins and lipids) in the hope that underlying modes of AβO-related toxicity could be revealed [32][37]. As AβOs are metastable, highly heterogeneous in nature, and can form via a variety of different pathways, this remains a challenging task, yet progress has been made. Here, we review AβOs with a focus on biophysical characterization of their formation and structure.

    Table 1.  Toxic mechanisms associated with AβOs.
    Toxic effects of AβOs Model system(s) References
    Reduction in neural plasticity mice, rat [37][40]
    Stimulation of tau phosphorylation cortical neurons (rat), hippocampal neurons, neuroblastoma, primary neurons, Tg-Mice [41][45]
    Choline acetyltransferase Inhibition cholinergic cell lines [46],[47]
    Oxidative stress cortical neurons, hippocampal neurons, in vitro, neuroblastoma [48][51]
    Endoplasmic reticulum stress cortical astrocytes, cortical neurons (rat), fibroblasts, Tg-mice [43],[52],[53]
    Receptor disturbance cortical neurons, hippocampal neurons [54][57]
    Insulin resistance cortical neurons, hippocampal neurons, rat [40],[42],[57],[58]
    Synapse deterioration hippocampal neurons, pyramidal neurons (rat), Tg-mice [21],[35],[54],[59]
    Axonal transport cortical neurons, hippocampal, in vitro, Tg-mice [60][62]
    Astrocytes/microglia effects cortical astrocytes, Tg-mice [44],[52],[63],[64]
    Cell cycle disruption cortical neurons, Tg-mice [65],[66]
    Selective neuron death Mice [38],[67]
    Inhibition of long-term potentiation Mice [37],[40]
    Calcium dysregulation cortical neurons (rat), hippocampal neurons, primary neurons [43],[45],[48],[52]
    Modulation of metal toxicity neuroblastoma [49]
    Cytoskeleton disruption primary neurons [50]
    Modulation of Receptor/Channel Activity hippocampal neurons [48]

     | Show Table
    DownLoad: CSV

    Aβ is an approximately 4 kDA peptide (typically 40–42 amino acids long) that is derived from the transmembrane portion of the amyloid precursor protein (APP; Figure 1). The production of Aβ is achieved by the sequential cleavage of APP by two membrane-bound endoprotease activities, β- and γ-secretase. The two predominant Aβ peptides produced are 40 and 42 amino acids in length, and these peptides are referred to as Aβ40 and Aβ42 respectively. Aβ is amphipathic in nature (having a predominately hydrophilic N-terminus and a predominately hydrophobic C-terminus), which is thought to drive its agammaegation. As the C-terminal end of Aβ coincides with the transmembrane portion of APP, Aβ42 has a larger hydrophobic domain, making it more fibrillogenic compared to Aβ40 and deposits to a much greater extent in the brain [68][70]. Only about 10% of APP is processed via this Aβ producing pathway. Most APP is cleaved by the α-secretase, generating a series of much more benign peptide fragments.

    The hydrophilic N-terminal region of Aβ can adopt both an α-helical or β-sheet structure dependent on solution conditions, for example pH [71],[72]. The hydrophobic C-terminal end of Aβ has a propensity to adopt β-sheet structure upon agammaegation independent of solvent conditions [71],[72]. Beyond its amphipathic nature, several other domains have been identified in Aβ. The different polyomorphic fibril structures of Aβ are comprised of bundled β-sheets with backbones orthogonal to the fiber axis creating a cross-β structure [73], and two β-strand forming domains (residues 11–21 and 29–39 respectively) that are separated by a turn/bend region (around residues 23–26) identified through various experimental and computational studies [74][77]. The central region of Aβ (residues 16–21), contained within one of the β-strands, has enhanced amyloidogenic properties and represents a hydrophobic core [78].

    Figure 1.  APP processing and subsequent Aβ amino acid sequence with specific domains of interest specified. Proteolytic cleavage of APP is initiated at residue 671 by β-secretase followed by either non-amyloidogenic processing, cleavage at residue 687 by α-secretase, or amyloidogenic processing, cleavage at residue 711, 713, 714, or 726 by γ- secretase. The amino acid sequence below highlights the region of APP from which Aβ is produced with the numbering referring the residues in Aβ. The orange highlighted region represents the intact Aβ42 sequence. Hydropathy indexes of individual residues are color coded according to hydrophobic (blue), slightly hydrophobic (light green), and hydrophilic (red). Regions of interest and cites of secretase activity within the APP and Aβ are indicated.

    The agammaegation of Aβ (and other amyloid-forming proteins) is typically characterized in terms of fibril formation (Figure 2). Aβ fibril formation occurs via a complex agammaegation pathway. Fundamentally, AβOs can be subdivided into species that are intermediates in fibrils formation (referred to as being on pathway) or species that do not directly lead to fibrils (referred to as being off pathway). This is a contributing factor to the immense heterogeneity observed in AβO populations as will be discussed in more detail later. In general, amyloid formation proceeds via a nucleation dependent polymerization mechanism [79][81]. With this mechanism, agammaegation initially occurs via a slow nucleation phase (often called the lag phase) that involves the formation of a thermodynamically unfavorable critical nucleus that is associated with a transition from a native to non-native protein conformation. For Aβ, the critical nucleus is likely a multimeric species [82][84]. Once the critical nucleus has formed, an elongation or growth phase (characterized by a relatively rapid extension of fibril agammaegates) occurs. While numerical models can extract important parameters (lag phase times, elongation rates, critical nucleus size) from experimental data [85], the actual agammaegation pathway toward fibrils can be complicated. For example, other on pathway intermediates, like protofibrils, are also observed in Aβ agammaegation. Protofibrils are amyloid-like, elongated agammaegates with filament-like morphologies and are late-stage intermediate precursors on the agammaegation pathway to fibrils. A key aspect that facilitates on and off pathway agammaegation routes and complicates investigations of AβOs is that they possess structural plasticity and are metastable and transient in nature.

    Figure 2.  Production and aggregation Aβ. Aβ is a cleavage product of APP, a transmembrane protein. Monomeric Aβ transitions between ordered and disordered states. Once dimerization occurs, subsequent aggregation occurs either on pathway or off pathway with respect to fibril formation. The aggregates associated with these different pathways increase in molecular weight from the left to the right of the schematic. Fibrillization can proceed via several potential pathways that can populate various intermediate aggregate states, including oligomers and protofibrils. Off-pathway oligomers of various size may also form. Annular aggregates of Aβ can also form and are thought to potentially be associated with forming pore-like structures.

    Further complicating the issue is the observation that Aβ can agammaegate into a variety of morphologically distinct fibril structures, referred to as polymorphs [86][90]. This phenomenon is predicated on subtle changes of environmental conditions associated with agammaegation, and as a result, preparatory protocols employed in experiments determines the resulting Aβ fibril morphology [87]. While polymorphic agammaegates are readily observed with in vitro studies using synthetic Aβ, polymorphic structures have been observed in amyloids derived from tissue, and it is thought that variations in Aβ agammaegate morphologies may play an important role in AD [91],[92]. For example, polymorphic agammaegates and fibrils may result in distinct biological activities and levels of toxicity that could underlie variations in AD [76], and distinct fibril structures can be directly associated with individual AD patients and clinical phenotype [93],[94].

    A complicating factor in evaluating and comparing studies aimed at elucidating AβO formation, structure, and physiological impact is divergent experimental conditions, such as Aβ preparation protocols, heavily influences experimental outcomes. In terms of oligomers, the emergence of distinct fibril structure strongly suggests that there would also be distinct oligomeric precursors associated with their formation. Indeed, distinct AβO species can be observed within in vitro agammaegation assays under conditions that result in fibril polymorphs [95] (Figure 3). For studies conducted with synthetic peptide, there are a variety of protocols used to solubilize Aβ (Table 2). Typically, these protocols consist of a disagammaegation step and a reconstitution step. The disagammaegation steps usually involves the use of hydrogen bond disrupting solvents, i.e., hexafluoroisopropanol (HFIP) or trifluoroacetic acid (TFA), that break down pre-existing agammaegates within lyophilized stocks of Aβ. These solvents are often removed under vacuum, leaving a peptide film. The reconstitution step involves dissolving these peptide films into a solvent that facilitates dilution into an appropriate buffer. Dimethyl sulfoxide (DMSO) is often used, creating a concentrated stock that is diluted into the desired buffer. Disagammaegation and reconstitution can also be facilitated by changes in pH. Sometimes reconstitution is performed directly into the final buffer. Importantly, variations in preparatory protocols indeed result in different populations of oligomers (Table 2 and Figure 3), and these variations can complicate direct comparisons between different reports within the literature. Further complicating the issue, there are often distinctions observed between studies performed with synthetic Aβ and naturally derived Aβ [96]. In many studies aimed at elucidating activity of AβOs, specific preparations are used to obtain a particular population of oligomer species. These are then directly applied to different model systems, ranging from cell culture to animal models. However, there is often a lack of effort to verify that once added to the model system (which can often be a pronounced change in chemical environment) that these AβO species do not dissociate or agammaegate into a different AβO or Aβ agammaegate. To truly relate specific AβOs to a neurotoxic activity, effort should be invoked to attempt additional controls of this type.

    Table 2.  Representative disaggregation, reconstitution, and miscellaneous protocols for the preparation of Aβ and observed AβOs.
    Classification Disaggregation Reconstitution Miscellaneous Result References
    ADDLs None F12 Media 4 °C Centrifuged 14,000 ×g for 10 mins 5–6 nm by AFM (height) [38]
    ADDLs HFIP DMSO at 5 mM Aβ Sonicate 5 mins, dilute with DMEM/F12 Media A11+ [97]
    Globulomers HFIP DMSO at 5 mM Aβ Sonicate 10 mins, dilute PBS + 0.05% SDS 16–56 kDa by SDS-PAGE [98]
    Globulomers HFIP DMSO at 5 mM Aβ Dilute PBS + 0.05% SDS, Dialyze 38–48 kDa by SDS-PAGE [99]
    Aβ*56 HFIP DMSO at 5 mM Aβ Sonicate 20 min, PBS + 0.2% SDS incubate 6 h, dilute and incubated 18 h; centrifuge 3000 ×g, dialysis 56 kDa by Native-PAGE [100]
    AβOs HFIP DMSO F12 Media incubated at 4 °C for 24 h 1–4 nm by AFM [101],[102]
    AβOs HFIP/NH4OH 10 mM Tris-HCl Addition of Zn2+ 10–12 nm by AFM [97]
    AβOs TFA/HFIP (2Xs) 2 mM NaOH PBS Centrifuge 386,000 ×g 2.5 nm by AFM [87],[95]
    AβOs TFA salt/2 mM NaOH, pH ∼10.5, 1 min sonication HH PBS - 3–12 nm by AFM [103]
    AβOs 10% NH4OH (w/v) sonicated 5 mins, lyophilized 60 mM NaOH - 1–10 nm by DLS [104]
    AβOs LMW - DMSO Sonicate 1 min, centrifuge 16,000 ×g, SEC, PBS, PICUP crosslinking 4–26 kDa by SDS-PAGE [105]

     | Show Table
    DownLoad: CSV
    Figure 3.  Heterogeneity of AβOs. A series of atomic force microscopy images and size analysis, i.e. height histograms, of AβOs formed from synthetic Aβ that had been prepared by some of the protocols described in Table 2. The AβOs were prepared in the following way: (A) protocol provided in the AggreSure β-amyloid kits available from AnaSpec which consists of a reconstitution step directly into Tris buffer with bath sonication; (B) 10% NH4OH disaggregation buffer, followed by additional treatment with HFIP, and reconstitution in 2 mM NaOH (pH > 11) with subsequent dilution into Tris buffer; (C) 10% NH4OH disaggregation buffer, and reconstitution in 60 mM NaOH (pH > 11) with subsequent dilution into HEPES buffer; (D) HFIP disaggregation, reconstitution in DMSO, followed by dilution into PBS; (E) TFA disaggregation with sonication, an additional HFIP disaggregation step, reconstitution with NaOH, and dilution into PBS; (F) No disaggregation step and direct reconstitution in to phosphate buffer.

    Enormous efforts have been extended in identifying the most toxic/disease-relevant AβO species and the relevant underlying structure [9],[106],[107]. This is a daunting endeavor due to the transient nature and extensive heterogeneity associated with AβOs [108][110]. It is possible that different AβO species may activate different deleterious changes associated with AD [9],[106],[107]; however, there may also be relatively benign AβO species or even experimental artifacts [96],[108],[111]. Unraveling the physiological activity of AβOs may require separate analysis of these different species, which may be altered by preparatory protocols. The ability of smaller AβO (like dimers and trimers) to further agammaegate into large, more stable synaptotoxic assemblies [107] must be accounted for in assessing the toxic effects of specific AβO species. That is, upon the addition of preparations of AβO to cell culture or other models, AβOs may further assemble into other higher order species that may influence the associated toxic effects. Despite the inherent complexity of this endeavor, progress has been made. Aβ trimers have been linked to playing a role in inducing pathological conformational changes in tau [112]. However, crosslinked Aβ dimers were shown not to be toxic themselves, but rather contributed to toxicity by further assembling into larger assemblies [113]. A 56 kDa SDS-stable Aβ0 (referred to as Aβ*56) has been identified as a prominent specie in the AD brain [16], CSF [22], and in transgenic mouse models of AD [32],[114]. In terms of an actual biological activity, Aβ*56 interacts with N-methyl-D-aspartate receptors (NMDARs), increasing NMDAR-dependent Ca2+ influx and activation of Ca2+/calmodulin-dependent kinase IIα (CAMKIIα) [115]. Activation of CAMKIIα correlates with enhanced site-specific phosphorylation and mis-sorting of tau [115]. Smaller AβOs, namely dimers and trimers, do not appear to elicit these specific effects.

    There appears to be some common themes emerging with respect to toxicity. Toxic AβOs appear to react with oligomer specific antibodies like A11 (generic for amyloid oligomers in general, [116]) and NU4 (specific for AβOs) [117]; whereas, nontoxic AβOs demonstrate reactivity with anti-fibril antibodies like OC [116]. Importantly, toxic AβOs appear to be unrelated to plaques [116],[118]. AβOs related to amyloid plaques temporally, spatially, and structurally are nontoxic [118]. A number of toxic AβO species are larger than 50 kDa [21],[54],[118], like the previously mentioned Aβ*56 [32]. Smaller AβOs appear to be less toxic or even benign [21],[54],[118],[119], except for their ability to further agammaegated into larger assemblies. This has led to distinguishing between high molecular weight (HMW) and low molecular weight (LMW) oligomers [120]. Agammaegation mechanisms differentiating between the eventual formation of HMW and LMW AβOs already appear to deviate at the dimer stage [121]. Furthermore, LMW and HMW Aβ oligomers differentially impact synapses and memory [122],[123]; although, LMW AβOs are not always associated with memory dysfunction [116],[117]. HMW AβOs are the predominant Aβ species in the native soluble protein fraction of AD brains [124]. These HMW species in the AD brain sometimes appear to be constructed from smaller ∼7 kDa Aβ species [125]. Neurohistopathological and biochemical analyses of AβOs in the temporal cortex of AD brains implicated an Aβ dodecamer (∼55 kDa) [126]. HMW AβOs bind cultured synapses [21],[54],[118], induce reactive oxygen species (ROS) production [123], and disrupt memory function [116],[117]. With respect to the previously defined agammaegation pathways, LMW AβOs are typically on pathway to fibril formation; HMW AβOs are off-pathway [127],[128]. This is consistent with HMW AβOs being potent, as off pathway AβOs appear more toxic [129]. Collectively, these observations point to the complex interplay between different AβO species and their specific activity with respect to neurotoxicity.

    Table 3.  Methods used for analyzing AβOs.
    Technique Features of AβOs Obtained
    Atomic Force Microscopy (AFM) Morphology, population distributions
    Electron Microscopy (EM) Morphology, population distributions
    Ion-Mobility Mass Spectroscopy (IM-MS) Secondary structure, multimeric configurations
    Nuclear Magnetic Resonance 2D (NMR) Secondary structure, multimeric configurations, atomic resolution structure
    Electron Paramagnetic Resonance (EPR) Secondary structure, multimeric configurations, atomic resolution structure
    Powder X-ray Diffraction (PXRD) Atomic resolution structure
    Small Angle X-ray Scattering (SAXS) Atomic resolution structure
    Single Crystal X-ray Diffraction (SCXD) Atomic resolution structure
    SDS-Page Size distribution of multimers

     | Show Table
    DownLoad: CSV

    To facilitate structure/activity analysis, significant efforts have been made to obtain structural details of AβOs using a variety of methods (Table 3). This is required to fully elucidate the modes of interaction of AβOs with other biomolecules and related toxic mechanisms [32],[33],[35][37],[130]. Structural characterization of specific AβOs is challenging due to their transient nature and heterogeneity. AβOs can exhibit conformational plasticity that can be heavily influenced by environmental factors, further complicating such analysis. Despite these inherent challenges, efforts have been made to separate, isolate, and characterize distinct AβO species obtained from synthetic Aβ or from AD brain tissue and cell cultures [18],[32],[35][37],[114],[129],[131][136]. With regard to HMW and LMW AβOs, they are separable in vitro by size exclusion chromatography [137] or ultrafiltration with a 50 kDa molecular weight cutoff [21],[54],[118]. Quick characterization of AβOs can be accomplished by chromatographic techniques, SDS PAGE, and by the use of a variety of oligomer specific antibodies (Table 4).

    Table 4.  Anti-AβO specific antibodies.
    Antibody Epitope References
    A11 Soluble amyloid oligomers [17],[138]
    NAB61 Dimeric, oligomeric, higher order aggregates [139]
    NU-1 ADDLs specific [140]
    NU-2 ADDLs weak binding; no Aβ monomer staining [140]
    NU-4 ADDL trimer, tetramer, and 12–24 mer specific [140]

     | Show Table
    DownLoad: CSV

    One strategy that has been used to overcome obstacles associated with characterizing AβOs has been to stabilize oligomers via cross-linking. Such methods can lead to not only structural but also functional characterization of AβOs. Photo-induced crosslinking (PICUP) was initially used to stabilize and characterize LMW AβOs of Aβ40 and Aβ42 [33],[141][143].While Aβ40 primarily formed an equilibrium of dimers, trimers, and tetramers, Aβ42 agammaegated into pentamers/hexamers that further assembled into protofibrils [143]. Using mutated Aβ42 (F10, Y42), AβOs ranging from dimer to dodecamers were stabilized using PICUP [141], opening up the ability to perform structure/activity analysis on AβOs up to 50 kDa in size. AβOs can also be stabilized using dityrosine crosslinking, which occurs under elevated copper concentrations and oxidative stress [144]. Both of these conditions have been linked to AD, suggesting that the crosslinking associated with this method may be more physiologically relevant [145],[146]. In fact, dityrosine crosslinked proteins are observed in amyloid plaques and CSF from AD patients [145]. Dityrosine linkages are associated with copper-mediated stabilization of AβOs [147]. Copper stabilization is effective enough to allow for 3D structural characterization of AβOs by small-angle x-ray scattering [148], and the copper to Aβ ratio could push agammaegation toward ellipsoidal oligomers of 38 peptides (excess copper) or fibrils (excess Aβ) [119].

    Another method to overcome the metastability of Aβ species and control the agammaegation process is to complex/fuse Aβ sequences within other protein. Aβ sequences are often based on previously identified regions of the peptide that have been identified as playing a role in Aβ agammaegation (Figure 1). Such a strategy has been successful in studying monomeric structure of Aβ sequences [149]. With careful design, this method has been applied to stabilizing oligomers derived from Aβ fragments for structural characterization. Fusion of Aβ18–41 with the CDR3 loop region of a shark Ig new antigen receptor single variable domain antibody resulted in the formation and stabilization of tightly associated Aβ dimers, which could pair to form tetramers [150]. This dimer had a compact structure rather than a β-turn/β-sheet structure. Several engineered peptide macrocycles that incorporate Aβ sequences (Aβ15–23 and Aβ17–36) have been designed to contain agammaegation to the oligomeric state, and these systems have been structurally characterized by X-ray crystallography and NMR spectroscopy [151][153]. Collectively, this macrocycle strategy has revealed numerous dimers, trimers, tetramers, and higher order oligomer species that display a variety of β-sheet based structural heterogeneity.

    Due to the complex nature of Aβ agammaegation, techniques that allow for distinguishing and characterizing distinct morphological features of AβOs within heterogeneous agammaegation reactions are of enormous benefit. Both atomic force microscopy (AFM) and electron microscopy (EM) provide this capability. In particular, AFM has emerged as a particularly useful technique in studying AβO formation and morphology [95],[101],[134],[135],[154][160]. As AFM can be operated in solution, it has the ability to observe and track the behavior of individual AβOs on surfaces under physiological buffer conditions [158],[160]. The surfaces used in AFM experiments have become progressively more biologically relevant and include lipid membranes [135],[161][164]. With regard to Aβ agammaegation on lipid membranes, in solution AFM studies have demonstrated the formation of distinct oligomeric agammaegates associated with point mutation in Aβ [165], the formation of pore-like AβO morphologies [154][156], that preparation history influences AβO formation on bilayers [95], and that mechanical changes occur in bilayers associated with the presence of AβOs [166]. AFM based force spectroscopy has even been used to understand the energetics of AβO formation and stability [167],[168].

    With the recent development of high-speed AFM in solution, insights into the dynamics and fate of individual AβOs has been achieved [128],[169]. Using high-speed AFM to track the dynamics of PICUP-stabilized LMW AβOs demonstrated that these AβOs were highly dynamic in structure, fluctuating between single and multi-globular assemblies [169]. Direct visualization of Aβ agammaegation with high-speed AFM imaging demonstrates that LMW AβOs much more quickly transition to form fibrils with distinct morphologies compared with HMW AβOs [128]. Despite being classified as being off-pathway, HMW AβOs can still contribute to fibril formation by serving as a reservoir of Aβ. That is, HMW AβOs may dissociate into smaller LMW AβO that seed fibrillization [128]. This again points to the necessity to track the fate of AβO species when evaluating their physiological activities. For example, the LMW AβOs that are dissociation products of HMW AβOs may actually be more toxic [170].

    Another technique that is capable of characterizing heterogeneous populations of AβOs is ion mobility mass spectrometry (IM-MS). These IM-MS studies ascertained qualitative differences in AβO structure associated with Aβ40 and Aβ42 [131],[132]. Aβ40 tetramers displayed an enclosed ring-shaped configuration that would inhibit additional contacts required to assemble into larger AβO species [131],[132]. Aβ42 tetramers preferentially had a bent structure that would provide oligomer ends capable of additional contacts and enabling further agammaegation. Indeed, Aβ42 was capable of forming larger donut-shaped dodecamers.

    Another strategy to perform structural analysis of AβOs is utilizing specific conditions to stabilize them via a kinetic trap. Such an approach has been successfully used to enable NMR spectroscopy of AβOs [171],[172]. By incubation of Aβ at 4 °C and freeze-trapping with liquid nitrogen, heterogeneous, spherical AβOs were analyzed with 2D NMR and shown to possess in-register parallel β-strand structure similar to fibrils [172]. Based on NMR analysis, Aβ42 pentamers stabilized at a low 4 °C and 10 mM salt concentration were disordered [171]. These Aβ42 pentamers displayed enhanced toxicity compared with protofibrils or fibrils [171]. An atomic model of Aβ42 oligomers consisting of approximately 15–24 peptides has been proposed from a combination of biophysical techniques [173]. These oligomers were prepared by disagammaegation in HFIP followed by resuspension in dilute ammonium hydroxide, preventing fibril formation. These were not end-stage AβOs, as subsequent dilution in PBS resulted in fibril formation. Powder X-ray diffraction patterns of the AβOs were consistent with helical β-sheet pairs wrapped together into a super-helix. This wrapping results in a hole along the super-helix axis, which is consistent with proposed toxic mechanisms in which Aβ forms pathogenic pores. Another proposed structure, based on site-directed spin labeling and electron paramagnetic resonance, shares similarities with this structure [174]. This study used Aβ42 fused to GroES-ubiquitin that formed stable oligomers that were A11 positive. Based on the EPR data, an AβO model was proposed that consisted of a β-sheet with three antiparallel strands with these strands being arranged head to tail. These sheets are further packed face to back as a group of four.

    Even just tracking AβO formation has been challenging. A number of straight forward spectroscopic assays are well-established to track formation and kinetic parameters of fibrils (e.g., ThT), but methods to easily track AβO formation have been lacking. Recently, the use of 4,4-difluoro-4-bora-3a,4a-diaza-s-indacene (BODIPY) dyes have been utilized to fluorescently detect the AβOs in vitro [175],[176]. These BODIPY fluorescent probes have high quantum yields with the capability of selectively binding to AβOs [177]. Importantly, increases and decreases in the “BD-Oligo” dye fluorescence also correlated with increasing and decreasing intensities of A11 staining, directly relating this signal to an established methods to detect AβOs [175]. In addition, the BD-Oligo dye can be used in parallel with ThT assays that detect fibril formation, allowing for the direct investigation of the correlation between oligomer and fibril formation [175]. A BODIPY-based probe (BAP-1) has also facilitated the direct visualization of Aβ plaques in transgenic mice [177], and rational modifications of BAP-1 also allowed for near-infrared selective detection of tau neurofibrillary tangles [178]. The ability to rationally modify BODIPY dyes for fluorescent detection of specific agammaegate species, the tunability of their spectroscopic properties, and their insensitivity to solvent and pH changes have made BODIPY dyes a recently promising avenue for high throughput studies of AβO formation and stability.

    While the agammaegation of Aβ has been extensively studied, there is still much to understand at the molecular level about AβO formation, structure, and activity. Due to the transient nature of AβOs, their morphological heterogeneity, and the continuing debate concerning specific toxic agammaegate species associated with AD, structural details and physiological activities of the variety of AβOs still need to be fully elucidated. The exact mechanisms associated of how AβOs lead to cellular dysfunction and death have not fully been explained. Understanding these phenomenon may prove crucial in the effectiveness of therapeutic strategies based on manipulating Aβ production, clearance, and agammaegation. Here, we highlighted some specific features of AβOs and techniques that have provided insight into their structure and formation. While this review is far from exhaustive, we hope that collectively they provide a compelling argument toward the importance of understanding the nature of AβOs, highlight some of the intrinsic obstacles associated with studying AβOs, and provide some insight into methods that will play a role in pushing our knowledge of AβOs further.



    Conflict of interest



    The authors declare no conflict of interest.

    Author contributions



    Both the authors cooperated in conceptualization, methodology, investigation, writing review and editing.

    [1] Fuller R, Landrigan PJ, Balakrishnan K, et al. (2022) Pollution and health. Lancet 6: E535-E547. https://doi.org/10.1016/S2542-5196(22)00090-0
    [2] Pinhiero HT, MacDonald C, Santos RG, et al. (2018) Rhizobia: From saprophytes to endosymbionts. Nat Rev Microbiol 16: 291-303. https://doi.org/10.1038/nrmicro.2017.171
    [3] Nava V, Chandra S, Aherne J, et al. (2023) Plastic debris in lakes and reservoirs. Nature 619: 317-322. https://doi.org/10.1038/s41586-023-06168-4
    [4] Glick BR (2010) Using soil bacteria to facilitate phytoremediation. Biotechnol Adv 28: 367-374. https://doi.org/10.1016/j.biotechadv.2010.02.001
    [5] Brookes PC, McGrath SP (1984) Effect of metal toxicity on the size of the soil microbial biomass. Soil Sci 35: 341-346. https://doi.org/10.1111/j.1365-2389.1984.tb00288.x
    [6] Salt DE, Blaylock M, Kumar NPBA, et al. (1995) Phytoremediation: A novel strategy for the removal of toxic metals from the environment using plants. Nat Biotechnol 13: 468-474. https://doi.org/10.1038/nbt0595-468
    [7] Glick BR (2020) Beneficial Plant-Bacterial Interactions. Heidelberg: Springer 1-383. https://doi.org/10.1007/978-3-030-44368-9
    [8] Toyama T, Ojima T, Tanaka Y, et al. (2013) Sustainable biodegradation of phenolic endocrine-disrupting chemicals by Phragmites australis-rhizosphere bacteria association. Water Sci Technol 68: 522-529. https://doi.org/10.2166/wst.2013.234
    [9] Yamaga F, Washio K, Morikawa M (2010) Sustainable biodegradation of phenol by Acinetobacter calcoaceticus P23 isolated from the rhizosphere of duckweed Lemna aoukikusa. Environ Sci Technol 44: 6470-6474. https://doi.org/10.1021/es1007017
    [10] Ali Z, Waheed H, Kazi AG, et al. (2016) Duckweed: an efficient hyperaccumulator of heavy metals in water bodies. Plant Metal Interaction Emerging Remediation Techniques. Netherlands: Elsevier 411-429. https://doi.org/10.1016/B978-0-12-803158-2.00016-3
    [11] Khan AU, Khan AN, Waris A, et al. (2022) Phytoremediation of pollutants from wastewater: A concise review. Open Life Sci 13: 488-496. https://doi.org/10.1515/biol-2022-0056
    [12] Glick BR (2012) Plant growth-promoting bacteria: mechanisms and applications. Scientifica 963401. https://doi.org/10.6064/2012/963401
    [13] Gamalero E, Glick BR (2012) Ethylene and abiotic stress tolerance in plants. Environmental Adaptations and Stress Tolerance of Plants in the Era of Climate Change. Berlin: Springer-Verlag 395-412. https://doi.org/10.1007/978-1-4614-0815-4_18
    [14] Gepstein S, Glick BR (2013) Strategies to ameliorate abiotic stress-induced plant senescence. Plant Molec Biol 82: 623-633. https://doi.org/10.1007/s11103-013-0038-z
    [15] Nascimento FX, Rossi MJ, Glick BR (2016) Role of ACC deaminase in stress control of leguminous plants. Plant Growth-Promoting Actinobacteria. Singapore: Springer Science 179-192. https://doi.org/10.1007/978-981-10-0707-1_11
    [16] Gamalero E, Glick BR (2019) Plant growth-promoting bacteria in agriculture and stressed environments. Modern Soil Microbiology. Florida: CRC Press 361-380. https://doi.org/10.1201/9780429059186-22
    [17] Ali S, Glick BR (2019) Plant-bacterial interactions in management of plant growth under abiotic stresses. New and Future Developments in Microbial Biotechnology and Bioengineering. Netherlands: Elsevier 21-45. https://doi.org/10.1016/B978-0-12-818258-1.00002-9
    [18] Santoyo G, Gamalero E, Glick BR (2021) Mycorrhizal-bacterial amelioration of plant abiotic and biotic stress. Front Sust Food Sys 5: 672881. https://doi.org/10.3389/fsufs.2021.672881
    [19] Etesami H, Jeong BR, Glick BR (2023) Potential use of Bacillus spp. as an effective biostimulant against abiotic stress in crops–A review. Curr Res Biotechnol 5: 100128. https://doi.org/10.1016/j.crbiot.2023.100128
    [20] Glick BR (2003) Phytoremediation: Synergistic use of plants and bacteria to clean up the environment. Biotechnol Adv 21: 383-393. https://doi.org/10.1016/S0734-9750(03)00055-7
    [21] Vieira FCS, Nahas E (2005) Comparison of microbial numbers in soils by using various culture media and temperatures. Microbiol Res 160: 197-202. https://doi.org/10.1016/j.micres.2005.01.004
    [22] Hayat R, Ali S, Amara U, Khalid R, et al. (2010) Soil beneficial bacteria and their role in plant growth promotion: a review. Ann Microbiol 60: 579-598. https://doi.org/10.1007/s13213-010-0117-1
    [23] De Souza R, Ambrosini A, Passaglia LMP (2015) Plant growth-promoting bacteria as inoculants in agricultural soils. Genet Molec Biol 38: 401-419. https://doi.org/10.1590/S1415-475738420150053
    [24] Glick BR, Gamalero E (2021) Recent developments in the study of plant microbiomes. Microorganisms 9: 1533. https://doi.org/10.3390/microorganisms9071533
    [25] Walker TS, Bais HP, Grotewold E, et al. (2003) Root exudation and rhizosphere biology. Plant Physiol 132: 44-51. https://doi.org/10.1104/pp.102.019661
    [26] Canarini A, Kaiser C, Merchant A, et al. (2019) Root exudation of primary metabolites: mechanisms and their roles in plant responses to environmental stimuli. Front Plant Sci 10: 157. https://doi.org/10.3389/fpls.2019.00157
    [27] Bashir I, War AF, Rafiq I, et al. (2022) Phyllosphere microbiome: diversity and functions. Microbiol Res 254: 126888. https://doi.org/10.1016/j.micres.2021.126888
    [28] Lindow SE, Brandl MT (2003) Microbiology of the phyllosphere. Appl Environ Microbiol 69: 1875-1883. https://doi.org/10.1128/AEM.69.4.1875-1883.2003
    [29] Adeleke BS, Babalola OO, Glick BR (2021) Plant growth-promoting root-colonizing bacterial endophytes. Rhizosphere 20: 100433. https://doi.org/10.1016/j.rhisph.2021.100433
    [30] Ali S, Charles TC, Glick BR (2014) Amelioration of high salinity stress damage by plant growth-promoting bacterial endophytes that contain ACC deaminase. Plant Physiol Biochem 80: 160-167. https://doi.org/10.1016/j.plaphy.2014.04.003
    [31] Narayanan Z, Glick BR (2022) Secondary metabolites produced by plant bacterial endophytes. Microorg 10: 2008. https://doi.org/10.3390/microorganisms10102008
    [32] Santoyo G, Moreno-Hagelsieb G, Orozco-Mosqueda MC, et al. (2016) Plant growth-promoting bacterial endophytes. Microbiol Res 183: 92-99. https://doi.org/10.1016/j.micres.2015.11.008
    [33] Ledermann R, Schulte CCM, Poole PS (2021) How rhizobia adapt to the nodule environment. J Bacteriol 203: e00539-20. https://doi.org/10.1128/JB.00539-20
    [34] Poole P, Ramachandran V, Terpolilli J (2018) Rhizobia: from saprophytes to endosymbionts. Nat Rev Microbiol 16: 291-303. https://doi.org/10.1038/nrmicro.2017.171
    [35] Glick BR (1995a) The enhancement of plant growth by free-living bacteria. Can J Microbiol 41: 109-117. https://doi.org/10.1139/m95-015
    [36] Glick BR (1995b) Metabolic load and heterologous gene expression. Biotechnol Adv 13: 247-261. https://doi.org/10.1016/0734-9750(95)00004-A
    [37] Gamalero E, Lingua G, Glick BR (2023) Ethylene, ACC, and the plant growth-promoting enzyme ACC deaminase. Biology 12: 1043. https://doi.org/10.3390/biology12081043
    [38] Reed MLE, Glick BR (2023) The recent use of plant growth-promoting bacteria to promote the growth of agricultural food crops. Agriculture 13: 1089. https://doi.org/10.3390/agriculture13051089
    [39] Bonfante P, Genre A (2010) Mechanisms underlying beneficial plant-Fungus interactions in mycorrhizal symbiosis. Nat Commun 1: 48. https://doi.org/10.1038/ncomms1046
    [40] Figueiredo AF, Boy J, Guggenberger G (2021) Common mycorrhizae network: A review of the theories and mechanisms behind underground interactions. Front Fungal Biol 2: 735299. https://doi.org/10.3389/ffunb.2021.735299
    [41] Brundrett MC (2002) Coevolution of roots and mycorrhizas of land plants. New Phytol 154: 275-304. https://doi.org/10.1046/j.1469-8137.2002.00397.x
    [42] Bonfante P, Anca IA (2009) Plants, mycorrhizal fungi, and bacteria: A network of interactions. Annu Rev Microbiol 63: 363-383. https://doi.org/10.1146/annurev.micro.091208.073504
    [43] Chen M, Arato M, Borghi L, et al. (2018) Beneficial services of arbuscular mycorrhizal fungi–from ecology to application. Front Plant Sci 9: 1270. https://doi.org/10.3389/fpls.2018.01270
    [44] Frey-Klett P, Garbaye J, Tarkka M (2007) The mycorrhiza helper bacteria revisited. New Phytol 176: 22-36. https://doi.org/10.1111/j.1469-8137.2007.02191.x
    [45] Liu S, Yang B, Liang Y, et al. (2020) Prospect of phytoremediation combined with other approaches for remediation of heavy metal-polluted soils. Environ Sci Pollut Res 27: 16069-16085. https://doi.org/10.1007/s11356-020-08282-6
    [46] Raffa CM, Chiampo F, Shanthakumar S (2021) Remediation of Metal/Metalloid-polluted soils: a short review. Appl Sci 11: 4134. https://doi.org/10.3390/app11094134
    [47] Rajendran S, Priya TAK, Khoo KS, et al. (2021) A critical review on various remediation approaches for heavy metal contaminants removal from contaminated soils. Chemosphere 287: 132369. https://doi.org/10.1016/j.chemosphere.2021.132369
    [48] Raklami A, Meddich A, Oufdou K, et al. (2022) Plants—Microorganisms-based bioremediation for heavy metal cleanup: recent developments, phytoremediation techniques, regulation mechanisms, and molecular responses. Int J Mol Sci 23: 5031. https://doi.org/10.3390/ijms23095031
    [49] Alves ARA, Yin Q, Oliveira RS, et al. (2022) Plant growth-promoting bacteria in phytoremediation of metal-polluted soils: Current knowledge and future directions. Sci Tot Environ 838: 156435. https://doi.org/10.1016/j.scitotenv.2022.156435
    [50] Pande V, Pandey SC, Sati D, et al. (2022) Microbial interventions in bioremediation of heavy metal contaminants in agroecosystem. Front Microbiol 6: 824084. https://doi.org/10.3389/fmicb.2022.824084
    [51] Jain D, Kour R, Bhojiya AA, et al. (2020) Zinc tolerant plant growth promoting bacteria alleviates phytotoxic effects of zinc on maize through zinc immobilization. Sci Rep 10: 13865. https://doi.org/10.1038/s41598-020-70846-w
    [52] Saeed Q, Xiukang W, Haider FU, et al. (2021) Rhizosphere bacteria in plant growth promotion, biocontrol, and bioremediation of contaminated sites: a comprehensive review of effects and mechanisms. Int J Mol Sci 22: 10529. https://doi.org/10.3390/ijms221910529
    [53] Clavero-León C, Ruiz D, Cillero J, et al. (2021) The multi metal-resistant bacterium Cupriavidus metallidurans CH34 affects growth and metal mobilization in Arabidopsis thaliana plants exposed to copper. Peer J 9: e11373. https://doi.org/10.7717/peerj.11373
    [54] Adiloğlu S, Açikgöz FE, Gürgan M (2021) Use of phytoremediation for pollution removal of hexavalent chromium-contaminated acid agricultural soils. Global NEST J 23: 400-406. https://doi.org/10.30955/gnj.003433
    [55] Li Y, Mo L, Zhou X, et al. (2021) Characterization of plant growth-promoting traits of Enterobacter sp. and its ability to promote cadmium/lead accumulation in Centella asiatica L. Environ Sci Pollut Res Int 29: 4101-4115. https://doi.org/10.1007/s11356-021-15948-2
    [56] Sangsuwan P, Prapagdee B (2021) Cadmium phytoremediation performance of two species of Chlorophytum and enhancing their potentials by cadmium-resistant bacteria. Environ Technol Innov 21: 101311. https://doi.org/10.1016/j.eti.2020.101311
    [57] Peng PH, Liang K, Luo H, et al. (2021) A Bacillus and Lysinibacillus sp. bio-augmented Festuca arundinacea phytoremediation system for the rapid decontamination of chromium influenced soil. Chemosphere 283: 131186. https://doi.org/10.1016/j.chemosphere.2021.131186
    [58] Kumar A, Tripti, Voropaeva O, et al. (2021) Bioaugmentation with copper tolerant endophyte Pseudomonas lurida strain EOO26 for improved plant growth and copper phytoremediation by Helianthus annuus. Chemosphere 266: 128983. https://doi.org/10.1016/j.chemosphere.2020.128983
    [59] Tirry N, Kouchou A, El Omari B, et al. (2021) Improved chromium tolerance of Medicago sativa by plant growth-promoting rhizobacteria (PGPR). J Genetic Engin Biotechnol 19: 149. https://doi.org/10.1186/s43141-021-00254-8
    [60] Wang Y, Yang R, Hao J, et al. (2021) The impact of Pseudomonas monteilii PN1 on enhancing the alfalfa phytoextraction and responses of rhizosphere soil bacterial communities in cadmium-contaminated soil. J Environ Chem Eng 9: 106533. https://doi.org/10.1016/j.jece.2021.106533
    [61] Liu S, Liu H, Chen R, et al. (2021) Role of two plant growth-promoting bacteria in remediating cadmium-contaminated soil combined with Miscanthus floridulus (Lab.). Plants 10: 912. https://doi.org/10.3390/plants10050912
    [62] Yankey R, Karanja JK, Okal EJ, et al. (2021) A consortium of plant growth-promoting rhizobacteria strains synergistically assists Jujuncao (Pennisetum giganteum) to remediate cadmium contaminated soils. Appl Ecol Environ Res 19: 2425-2442. https://doi.org/10.15666/aeer/1903_24252442
    [63] Abou-Shanab RAI, Santelli CM, Sadowsky MJ (2021) Bioaugmentation with As-transforming bacteria improves arsenic availability and uptake by the hyperaccumulator plant Pteris vittate (L). Int J Phytorem 24: 420-428. https://doi.org/10.1080/15226514.2021.1951654
    [64] Niu XY, Wang SK, Zhou J, et al. (2021) Inoculation with indigenous rhizosphere microbes enhances aboveground accumulation of lead in Salix integra Thunb. by improving transport coefficients. Front Microbiol 12: 686812. https://doi.org/10.3389/fmicb.2021.686812
    [65] Zainab N, Amna Khan AA, Azeem MA, et al. (2021) PGPR-mediated Plant Growth attributes and metal extraction ability of Sesbania sesban L. in industrially contaminated soils. Agronomy 11: 1820. https://doi.org/10.3390/agronomy11091820
    [66] Llimós M, Bistué M, Marcelino J, et al. (2021) A native Zn-solubilising bacterium from mine soil promotes plant growth and facilitates phytoremediation. J Soils Sed 21: 2301-2314. https://doi.org/10.1007/s11368-021-02934-x
    [67] Tanwir K, Javed MT, Abbas S, et al. (2021) Serratia sp. CP-13 alleviates Cd toxicity by morpho-physio-biochemical improvements, antioxidative potential and diminished Cd uptake in Zea mays L. cultivars differing in Cd tolerance. Ecotoxicol Environ Saf 208: 111584. https://doi.org/10.1016/j.ecoenv.2020.111584
    [68] Franchi E, Barbafieri M, Petruzzelli G, et al. (2022) Improvement of Arsenic phytoextraction using indigenous bacteria and mobilizing agents. Appl Sci 12: 9059. https://doi.org/10.3390/app12189059
    [69] Ustiatik R, Nuraini Y, Suharjono S, et al. (2022) Endophytic bacteria promote biomass production and mercury-bioaccumulation of Bermuda grass and Indian goosegrass. Int J Phytorem 24: 1184-1192. https://doi.org/10.1080/15226514.2021.2023461
    [70] Ma J, Alshaya H, Okla MK, et al. (2022) Application of cerium dioxide nanoparticles and chromium-resistant bacteria reduced chromium toxicity in sunflower plants. Front Plant Sci 13: 876119. https://doi.org/10.3389/fpls.2022.876119
    [71] Wei Xie L, Yang R, Liu B, et al. (2022) Effects of Pb-, Cd-resistant bacterium Pantoea sp. on growth, heavy metal uptake and bacterial communities in oligotrophic growth substrates of Lolium multiflorum Lam. Environ Sci Pollut Res Int 29: 50742-50754. https://doi.org/10.1007/s11356-022-19180-4
    [72] Alka S, Shahir S, Ibrahim N, et al. (2023) Assessment of plant growth promotion properties and impact of Microbacterium foliorum for arsenic removal in Melastoma malabathricum. Biorem J 27: 251-262. https://doi.org/10.1080/10889868.2022.2048629
    [73] Liu A, Wang W, Zheng X, et al. (2022) Improvement of the Cd and Zn phytoremediation efficiency of rice (Oryza sativa) through the inoculation of a metal-resistant PGPR strain. Chemosphere 302: 134900. https://doi.org/10.1016/j.chemosphere.2022.134900
    [74] Liu C, Li B, Dong Y, et al. (2022) Endophyte colonization enhanced cadmium phytoremediation by improving endosphere and rhizosphere microecology characteristics. J Hazard Mater 15: 128829. https://doi.org/10.1016/j.jhazmat.2022.128829
    [75] Das PK, Das BP, Dash P (2022) A super-tolerant bacteria strain improves phytoremediation of Cr (VI) contaminated soil with Pongamia pinnata. Rhizosphere 22: 100543. https://doi.org/10.1016/j.rhisph.2022.100543
    [76] Du S, Lu Q, Liu L, et al. (2022) Rhodococcus qingshengii facilitates the phytoextraction of Zn, Cd, Ni, and Pb from soils by Sedum alfredii Hance. J Hazard Mater 15: 127638. https://doi.org/10.1016/j.jhazmat.2021.127638
    [77] Ma L, Huang L, Liu Q, et al. (2022) Positive effects of applying endophytic bacteria in eggplant-Sedum intercropping system on Cd phytoremediation and vegetable production in cadmium polluted greenhouse. J Environ Sci 115: 383-391. https://doi.org/10.1016/j.jes.2021.08.005
    [78] Cheng X, Cao X, Tan C, et al. (2022) Effects of four endophytic bacteria on cadmium speciation and remediation efficiency of Sedum plumbizincicola in farmland soil. Environ Sci Pollut Res Int 29: 89557-89569. https://doi.org/10.1007/s11356-022-21711-y
    [79] Chi Y, You Y, Wang J, et al. (2022) Two plant growth-promoting bacterial Bacillus strains possess different mechanisms in affecting cadmium uptake and detoxification of Solanum nigrum L. Chemosphere 305: 135488. https://doi.org/10.1016/j.chemosphere.2022.135488
    [80] Zhang Y, Zhao S, Liu S, et al. (2022) Enhancing the phytoremediation of heavy metals by combining hyperaccumulator and heavy metal-resistant plant growth-promoting bacteria. Front Plant Sci 13: 912350. https://doi.org/10.3389/fpls.2022.912350
    [81] Vishnupradeep R, Benedict Bruno L, Taj Z, et al. (2022) Plant growth promoting bacteria improve growth and phytostabilization potential of Zea mays under chromium and drought stress by altering photosynthetic and antioxidant responses. Environ Technol Innov 25: 102154. https://doi.org/10.1016/j.eti.2021.102154
    [82] Wu Q, Lin X, Li S (2023) Endophytic Bacillus sp. AP10 harboured in Arabis paniculata mediates plant growth promotion and manganese detoxification. Ecotoxicol Environ Saf 262: 115170. https://doi.org/10.1016/j.ecoenv.2023.115170
    [83] Kumar H, Ishtiyaq S, Favas PJC, et al. (2023) Effect of metal-resistant PGPB on the metal uptake, antioxidative defense, physiology, and growth of Atriplex lentiformis (Torr.) S.Wats. in soil contaminated with Cadmium and Nickel. J Plant Growth Regul 42: 3868-3887. https://doi.org/10.1007/s00344-022-10853-5
    [84] Liu H, Huang H, Xie Y, et al. (2023) Integrated biochemical and transcriptomic analysis reveals the effects of Burkholderia sp. SRB-1 on cadmium accumulating in Chrysopogon zizanioides L. under Cd stress. J Environ Manag 1: 117723. https://doi.org/10.1016/j.jenvman.2023.117723
    [85] Yang D, Zuo M, Chen Y, et al. (2023) Effects of the promoting bacterium on growth of plant under cadmium stress. Intern J Phytorem 8: 1-10. https://doi.org/10.1080/15226514.2023.2241925
    [86] Jin J, Mi R, Li Q, et al. (2023) Bacillus thuringiensis enhances the ability of ryegrass to remediate cadmium-contaminated soil. Sustainability 15: 5177. https://doi.org/10.3390/su15065177
    [87] Gao T, Liu Y, Yang D, et al. (2023) Inoculation of exogenous complex bacteria to enhance resistance in alfalfa and combined remediation of heavy metal-contaminated soil. Curr Microbiol 16: 213. https://doi.org/10.1007/s00284-023-03299-9
    [88] Wang X, Luo S, Chen Y, et al. (2023) Potential of Miscanthus floridulus associated with endophytic bacterium Bacillus cereus BL4 to remediate cadmium contaminated soil. Sci Tot Environ 20: 159384. https://doi.org/10.1016/j.scitotenv.2022.159384
    [89] Muratova A, Golubev S, Romanova V, et al. (2023) Effect of heavy-metal-resistant PGPR inoculants on growth, rhizosphere microbiome and remediation potential of Miscanthus giganteus in zinc-contaminated soil. Microorganisms 11: 1516. https://doi.org/10.3390/microorganisms11061516
    [90] Houida S, Yakkou L, Kaya LO, et al. (2023) Plant growth-promoting bacteria isolated from earthworms enhance spinach growth and its phytoremediation potential in metal-contaminated soils. Int Microbiol 29: 37516695. https://doi.org/10.1007/s10123-023-00402-9
    [91] He T, Xu ZM, Wang JF, et al. (2023) Inoculation of Escherichia coli enriched the key functional bacteria that intensified cadmium accumulation by halophyte Suaeda salsa in saline soils. J Haz Mater 15: 131922. https://doi.org/10.1016/j.jhazmat.2023.131922
    [92] Mohanty M, Mohapatra S (2023) Synergistic effect of PGPR and PSB for alleviation of chromium toxicity in Vigna radiata (L.) R. Wilczek seedlings. Int J Phytorem 25: 1733-1742. https://doi.org/10.1080/15226514.2023.2189479
    [93] Rojas-Solis D, García Rodríguez YM, Larsen J, et al. (2023) Growth promotion traits and emission of volatile organic compounds of two bacterial strains stimulate growth of maize exposed to heavy metals. Rhizosphere 27. https://doi.org/10.1016/j.rhisph.2023.100739
    [94] Kumar B, Verma VK, Singh SK, et al. (2014) Polychlorinated biphenyls in residential soils and their health risk and hazard in an industrial city in India. J Public Health Res 1: 252. https://doi.org/10.4081/jphr.2014.252
    [95] Bisht S, Pandey P, Bhargava B, et al. (2015) Bioremediation of polyaromatic hydrocarbons (PAHs) using rhizosphere technology. Braz J Microbiol 1: 7-21. https://doi.org/10.1590/S1517-838246120131354
    [96] Ancona V, Barra Caracciolo A, Grenni P, et al. (2017) Plant-assisted bioremediation of a historically PCB and heavy metal-contaminated area in Southern Italy. N Biotechnol 25: 65-73. https://doi.org/10.1016/j.nbt.2016.09.006
    [97] Ancona V, Rascio I, Aimola G (2021) Poplar-assisted bioremediation for recovering a PCB and Heavy-Metal-contaminated area. Agriculture 11: 689. https://doi.org/10.3390/agriculture11080689
    [98] Gabriele I, Race M, Papirio S, et al. (2021) Phytoremediation of pyrene-contaminated soils: A critical review of the key factors affecting the fate of pyrene. J Environ Manag 293: 112805. https://doi.org/10.1016/j.jenvman.2021.112805
    [99] Kafle A, Timilsina A, Gautam A, et al. (2022) Phytoremediation: mechanisms, plant selection and enhancement by natural and synthetic agents. Environ Adv 8: 100203. https://doi.org/10.1016/j.envadv.2022.100203
    [100] Schwitzguébel JP (2017) Phytoremediation of soils contaminated by organic compounds: hype, hope and facts. J Soils Sed 17: 1492-1502. https://doi.org/10.1007/s11368-015-1253-9
    [101] Gamalero E, Glick BR (2015) Bacterial modulation of plant ethylene levels. Plant Physiol 169: 13-22. https://doi.org/10.1104/pp.15.00284
    [102] Vocciante M, Grifoni M, Fusini D, et al. (2022) The role of Plant Growth-Promoting Rhizobacteria (PGPR) in mitigating plant's environmental stresses. Appl Sci 12: 1231. https://doi.org/10.3390/app12031231
    [103] Guan C, Fu W, Zhang X, et al. (2023) Enhanced phytoremediation efficiency of PHE-contaminated soil by rape (Brassica napus L.) assisted with PHE-degradable PGPR through modulating rhizobacterial communities. Ind Crops Prod 202: 117057. https://doi.org/10.1016/j.indcrop.2023.117057
    [104] Siciliano SD, Fortin N, Mihoc A, et al. (2001) Selection of specific endophytic bacterial genotypes by plants in response to soil contamination. Appl Environ Microbiol 67: 2469-2475. https://doi.org/10.1128/AEM.67.6.2469-2475.2001
    [105] Afzal M, Khan QM, Sessitsch A (2014) Endophytic bacteria: prospects and applications for the phytoremediation of organic pollutants. Chemosphere 117: 232-242. https://doi.org/10.1016/j.chemosphere.2014.06.078
    [106] Karaś MA, Wdowiak-Wróbel S, Sokołowski W (2021) Selection of endophytic strains for enhanced bacteria-assisted phytoremediation of organic pollutants posing a public health hazard. Int J Mol Sci 3: 9557. https://doi.org/10.3390/ijms22179557
    [107] Tiwari P, Bae H (2020) Horizontal gene transfer and endophytes: an implication for the acquisition of novel traits. Plants 9: 305. https://doi.org/10.3390/plants9030305
    [108] Li N, Liu R, Chen J, et al. (2021) Enhanced phytoremediation of PAHs and cadmium contaminated soils by a Mycobacterium. Sci Tot Environ 1: 141198. https://doi.org/10.1016/j.scitotenv.2020.141198
    [109] Kotoky R, Pandey P (2021) The genomic attributes of Cd-resistant, hydrocarbonoclastic Bacillus subtilis SR1 for rhizodegradation of benzo(a)pyrene under co-contaminated conditions. Genomics 113: 613-623. https://doi.org/10.1016/j.ygeno.2020.09.057
    [110] Sun L, Zhu G, Liao X (2021) Rhizosphere interactions between PAH-degrading bacteria and Pteris vittata L. on arsenic and phenanthrene dynamics and transformation. Chemosphere 285: 131415. https://doi.org/10.1016/j.chemosphere.2021.131415
    [111] Ali MH, Khan MI, Bashir S, et al. (2021) Biochar and Bacillus sp. MN54 assisted phytoremediation of diesel and plant growth promotion of maize in hydrocarbons contaminated soil. Agronomy 11: 1795. https://doi.org/10.3390/agronomy11091795
    [112] Hussain F, Khan AHA, Hussain I (2022) Soil conditioners improve rhizodegradation of aged petroleum hydrocarbons and enhance the growth of Lolium multiflorum. Environ Sci Pollut Res 29: 9097-9109. https://doi.org/10.1007/s11356-021-16149-7
    [113] Bhuyan B, Kotoky R, Pandey P (2023) Impacts of rhizoremediation and biostimulation on soil microbial community, for enhanced degradation of petroleum hydrocarbons in crude oil-contaminated agricultural soils. Environ Sci Pollut Res 30: 94649-94668. https://doi.org/10.1007/s11356-023-29033-3
    [114] Singh K, Tripathi S, Chandra R (2023) Bacterial assisted phytoremediation of heavy metals and organic pollutants by Cannabis sativa as accumulator plants growing on distillery sludge for ecorestoration of polluted site. J Environ Manag 332: 117294. https://doi.org/10.1016/j.jenvman.2023.117294
    [115] Li W, Li WB, Xing LJ (2023) Effect of arbuscular mycorrhizal fungi (AMF) and plant growth-promoting rhizobacteria (PGPR) on microorganism of phenanthrene and pyrene contaminated soils. Int J Phytorem 25: 240-251. https://doi.org/10.1080/15226514.2022.2071832
    [116] Gao M, Gao B, Zhang X, et al. (2022) Effects of Plant Growth–Promoting Rhizobacteria (PGPR) on the phytoremediation of pyrene-nickel-contaminated soil by Juncus effusus. Water Air Soil Pollut 233: 458. https://doi.org/10.1007/s11270-022-05933-x
    [117] Rafique HM, Khan MY, Asghar HN, et al. (2023) Converging alfalfa (Medicago sativa L.) and petroleum hydrocarbon acclimated ACC-deaminase containing bacteria for phytoremediation of petroleum hydrocarbon contaminated soil. Int J Phytorem 25: 717-727. https://doi.org/10.1080/15226514.2022.2104214
    [118] ShirzadianGilan R, Parvizi Y, Pazira E, et al. (2023) Remediation capacity of drought-tolerant plants and bacteria in petroleum hydrocarbon-contaminated soil in Iran. South Afr J Bot 153: 1-10. https://doi.org/10.1016/j.sajb.2022.12.014
    [119] Cui C, Shen J, Zhu Y, et al. (2023) Bioremediation of phenanthrene in saline-alkali soil by biochar-immobilized moderately halophilic bacteria combined with Suaeda salsa L. Sci Tot Environ 1: 163279. https://doi.org/10.1016/j.scitotenv.2023.163279
    [120] Ali MH, Khan MI, Naveed M, et al. (2023) Microbe-assisted rhizodegradation of hydrocarbons and growth enhancement of wheat plants in hydrocarbons contaminated soil. Int J Environ Sci Technol 21: 3169-3184. https://doi.org/10.1007/s13762-023-05174-3
    [121] Yang KM, Poolpak T, Pokethitiyook P, et al. (2022) Assessment of dynamic microbial community structure and rhizosphere interactions during bioaugmented phytoremediation of petroleum contaminated soil by a newly designed rhizobox system. Int J Phytorem 24: 1505-1517. https://doi.org/10.1080/15226514.2022.2040420
    [122] Wojtowicz K, Steliga T, Kapusta P, et al. (2023) Oil-contaminated soil remediation with biodegradation by autochthonous microorganisms and phytoremediation by maize (Zea mays). Molecules 17: 6104. https://doi.org/10.3390/molecules28166104
  • This article has been cited by:

    1. Albert W. Pilkington, Gregory C. Donohoe, Novruz G. Akhmedov, Timothy Ferrebee, Stephen J. Valentine, Justin Legleiter, Hydrogen Peroxide Modifies Aβ–Membrane Interactions with Implications for Aβ40 Aggregation, 2019, 58, 0006-2960, 2893, 10.1021/acs.biochem.9b00233
    2. Albert W. Pilkington, Jane Schupp, Morgan Nyman, Stephen J. Valentine, David M. Smith, Justin Legleiter, Acetylation of Aβ40 Alters Aggregation in the Presence and Absence of Lipid Membranes, 2020, 11, 1948-7193, 146, 10.1021/acschemneuro.9b00483
    3. Kristine L. Teppang, Qilin Zhao, Jerry Yang, Development of fluorophores for the detection of oligomeric aggregates of amyloidogenic proteins found in neurodegenerative diseases, 2023, 11, 2296-2646, 10.3389/fchem.2023.1343118
    4. Akane Iida-Adachi, Hideki Nabika, Changes in Adsorption, Aggregation, and Diffusion Nature of Amyloid β on a Lipid Membrane in an Open System, 2025, 0743-7463, 10.1021/acs.langmuir.4c03663
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1740) PDF downloads(113) Cited by(0)

Figures and Tables

Figures(4)  /  Tables(2)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog