Nucleic Acid Signal Research Articles

Cascaded DNA circuits-programmed self-assembly of spherical nucleic acids for high signal amplification

Signal amplification is an important issue in DNA nanotechnology and molecular diagnostics. In this work, we report a strategy for the catalytic self-assembly of spherical nucleic acids (SNAs) programmed by two-layer cascaded DNA circuits through integrating an entropy-driven catalytic network, a catalytic hairpin assembly circuit, and a facile SNA assembly-based reporter system. This integrated system could implement ~100,000-fold signal amplification in the presence of 1 pM of input target. Possessing powerful amplification ability of nucleic acid signal, our strategy should be of great potential in fabricating more robust dynamic networks to be applied for signal transduction, DNA computing, and nucleic acid-based diagnostics.

Target-Triggered Polymerization of Branched DNA Enables Enzyme-free and Fast Discrimination of Single-Base Changes.

SummarySingle-base changes lead to important biological and biomedical implications; however, the discrimination of single-base changes from normal DNA always remains a grand challenge. Herein we developed a DNA recognition and amplification system based on artificial branched DNA, namely, target-triggered polymerization (TTP), to realize enzyme-free and fast discrimination of single-base changes. Branched DNA as monomers rapidly polymerized into DNA nanospheres only with the trigger of specific DNA. Our TTP system worked reliably over a wide range of conditions. Remarkably, our TTP system was capable of discriminating base-changing DNA from normal DNA, including distinguishing 1–4 nucleotide changes and positions of single base, which was attributed to the significant amplification of small differences in hybridization thermodynamics and kinetics. We further proposed a theoretical method for calculating the hybridization probability of nucleic acids, which performed highly consistent with experimental results.

Multimode MicroRNA Sensing via Multiple Enzyme-Free Signal Amplification and Cation-Exchange Reaction.

The detection of biomarkers requires not only high sensitivity but also different signal reading methods depending on the actual situation. Herein, the luminescent properties of CdTe quantum dots (QDs) were exploited, where CdTe QDs were used as shared signal molecules. Combining multiple types of nucleic acid and chemical signal amplification techniques, and various signal detection techniques, a magnetic nanoparticle (NP) and filter-assisted separation multimode sensing strategy has been developed. In this work, miRNA-141 was selected as a representative target, which can trigger the catalyzed hairpin assembly and hybrid chain reaction enzyme-free nucleic acid signal amplification that generates long double-stranded DNA. Subsequently, the chemical amplification of silver NPs (Ag NPs) that release a large amount of Ag+ was introduced into the system. Finally, the cation-exchange reaction between CdTe QDs and Ag+ was utilized to quench the fluorescence (FL) of the CdTe QDs, releasing free Cd2+. The visual/FL/chemical vapor generation-atomic fluorescence spectrometry (CVG-AFS)/inductively coupled plasma mass spectrometry (ICP-MS) method could then be performed for the analysis of miRNA. After investigating its experimental performance, it has been found that 10 fM can be differentiated from the blank solution with the naked eye. In addition, FL/CVG-AFS/ICP-MS methods all displayed good analytical capability for target detection, and the limits of detection (LODs) are as low as fM, which show high target sequence selectivity. This platform was applied to investigate miRNA-141 expression in various cancer cells, which can accurately detect in the range of 100-100 000 MDA-MB-231 cells (breast cancer cell lines), with an LOD of 15 cells. Therefore, the multimode sensing strategy based on a single signal molecule and multiple signal amplification strategies is an applicable and versatile detection method of biomarkers; it can even achieve point-of-care testing, improving the accuracy and efficiency of medical diagnosis.

Pharmacological Targets and the Biological Mechanisms of Formononetin for Alzheimer's Disease: A Network Analysis.

BackgroundThis study aimed to identify the pharmacological targets and mechanisms of action of the traditional Chinese medicine, formononetin, in the treatment of Alzheimer’s disease (AD) using network pharmacological analysis.Material/MethodsTargets of AD were obtained by using DisGeNET gene discovery platform, the herbal ingredients target (HIT) database, the SuperPred, and the SwissTargetPrediction compound target prediction platforms. Pathogenic and therapeutic targets were imported to the STRING biological database, and Cytoscape network integration software was used to construct component-target and disease-target interaction networks. Core targets were identified by topological analysis and were further tested to identify the biological processes and signaling pathways.ResultsSeven key target genes for formononetin in the treatment of patients with AD were identified, including estrogen receptor alpha (ESR1), peroxisome proliferator-activated receptor gamma (PPARG), tumor protein p53 (TP53), sirtuin 1 (SIRT1), tumor necrosis factor (TNF), cytochrome P450 19A1 (CYP19A1), and nuclear factor (erythroid-derived 2)-like 2 (NFE2L2). The biological processes included hormone metabolism, regulation of nucleoside, nucleotide and nucleic acid metabolism, apoptosis, energy pathways, metabolism, cell communication, and signal transduction. The signaling pathways included histone acetylation and deacetylation (HDAC) class I, regulation of p38-alpha/beta, p38 mitogen-activated protein kinase (MAPK) signaling pathway, bone morphogenetic protein (BMP) receptor signaling, interleukin-1 (IL1) mediated signaling events, the tumor necrosis factor (TNF) receptor signaling pathway, and cytoplasmic and nuclear Smad2/3 signaling.ConclusionsPharmacological network analysis was used to identify the gene targets and mechanisms of formononetin treatment in patients with AD.

Self-Awareness: Nucleic Acid-Driven Inflammation and the Type I Interferonopathies.

Recognition of foreign nucleic acids is the primary mechanism by which a type I interferon-mediated antiviral response is triggered. Given that human cells are replete with DNA and RNA, this evolutionary strategy poses an inherent biological challenge, i.e., the fundamental requirement to reliably differentiate self-nucleic acids from nonself nucleic acids. We suggest that the group of Mendelian inborn errors of immunity referred to as the type I interferonopathies relate to a breakdown of self/nonself discrimination, with the associated mutant genotypes involving molecules playing direct or indirect roles in nucleic acid signaling. This perspective begs the question as to the sources of self-derived nucleic acids that drive an inappropriate immune response. Resolving this question will provide fundamental insights into immune tolerance, antiviral signaling, and complex autoinflammatory disease states. Here we develop these ideas, discussing type I interferonopathies within the broader framework of nucleic acid-driven inflammation.

Application of Isothermal Nucleic Acid Signal Amplification in the Detection of Hepatocellular Carcinoma-Associated MicroRNA.

Hepatocellular carcinoma (HCC) is a common type of malignant tumor with high incidence and mortality, and is the third leading cause of cancer-related death in human. High-precision detection of tumor markers, such as microRNA (miRNA), is expected to contribute to the early diagnosis of HCC as well as improve the survival rate of HCC patients. In recent years, great effort has been made to develop different methods to detect HCC-associated miRNA, in which signal amplification strategies are incorporated to realize high sensitivity. Among them, isothermal nucleic acid signal amplification is an emerging signal amplification technology which has the advantages of high amplification efficiency, good reproducibility, and easy operation for real-time analysis. Herein, we provide an overview of the advances in the application of isothermal nucleic acid signal amplification in HCC-associated miRNA detection by highlighting several representative works in recent years.

Comparative phosphoproteome analysis upon ethylene and abscisic acid treatment in Glycine max leaves

Abscisic acid (ABA) and ethylene play key roles in growth and development of plants. Several attempts have been made to investigate the ABA and ethylene-induced signaling in plants, however, the involvement of phosphorylation and dephosphorylation in fine-tuning of the induced response has not been investigated much. Here, a phosphoproteomic analysis was carried out to identify the phosphoproteins in response to ABA, ethylene (ET) and combined ABA + ET treatments in soybean leaves. Phosphoproteome analysis led to the identification of 802 phosphopeptides, representing 422 unique protein groups. A comparative analysis led to the identification of 40 phosphosites that significantly changed in response to given hormone treatments. Functional annotation of the identified phosphoproteins showed that these were majorly involved in nucleic acid binding, signaling, transport and stress response. Localization prediction showed that 67% of the identified phosphoproteins were nuclear, indicating their potential involvement in gene regulation. Taken together, these results provide an overview of the ABA, ET and combined ABA + ET signaling in soybean leaves at phosphoproteome level.

Valency-Controlled Framework Nucleic Acid Signal Amplifiers.

Weak ligand-receptor recognition events are often amplified by recruiting multiple regulatory biomolecules to the action site in biological systems. However, signal amplification in in vitro biomimetic systems generally lack the spatiotemporal regulation in vivo. Herein we report a framework nucleic acid (FNA)-programmed strategy to develop valence-controlled signal amplifiers with high modularity for ultrasensitive biosensing. We demonstrated that the FNA-programmed signal amplifiers could recruit nucleic acids, proteins, and inorganic nanoparticles in a stoichiometric manner. The valence-controlled signal amplifier enhanced the quantification ability of electrochemical biosensors, and enabled ultrasensitive detection of tumor-relevant circulating free DNA (cfDNA) with sensitivity enhancement of 3-5 orders of magnitude and improved dynamic range.

Valency‐Controlled Framework Nucleic Acid Signal Amplifiers

AbstractWeak ligand–receptor recognition events are often amplified by recruiting multiple regulatory biomolecules to the action site in biological systems. However, signal amplification in in vitro biomimetic systems generally lack the spatiotemporal regulation in vivo. Herein we report a framework nucleic acid (FNA)‐programmed strategy to develop valence‐controlled signal amplifiers with high modularity for ultrasensitive biosensing. We demonstrated that the FNA‐programmed signal amplifiers could recruit nucleic acids, proteins, and inorganic nanoparticles in a stoichiometric manner. The valence‐controlled signal amplifier enhanced the quantification ability of electrochemical biosensors, and enabled ultrasensitive detection of tumor‐relevant circulating free DNA (cfDNA) with sensitivity enhancement of 3–5 orders of magnitude and improved dynamic range.

Rapid detection of multiple respiratory viruses based on microfluidic isothermal amplification and a real-time colorimetric method.

Respiratory viruses are major threats causing development of acute respiratory tract infections, which are common causes of illness and death throughout the world. Here, an integrated microsystem based on real-time colorimetry was developed for diagnosing multiple respiratory viruses. The microsystem employed magnetic beads for nucleic acid extraction and an eight-channel microfluidic array chip integrated with a loop-mediated isothermal amplification system for point-of-care screening of respiratory viruses. The overall detection process (including sample collection, nucleic acid extraction, sample loading, real-time detection, and signal output) could be completed within 1 h. Our results show that the developed method could specifically recognize influenza A virus subtypes (H1N1, H3N2, H5N1, and H7N9), influenza B virus, and human adenoviruses. The results obtained with 109 clinical samples indicate that the developed method has high specificity (100%, confidence interval 94.9-100.0) and sensitivity (96%, confidence interval 78.1-99.9). The integration of magnetic bead-based pre-treatment techniques and microfluidic isothermal amplification provides an effective solution for rapidly detecting etiological agents of respiratory diseases. The strategy of using a closed chip system and real-time colorimetry reduced aerosol contamination and ensured the accuracy of the results. The developed method provides an effective alternative for rapid point-of-care screening for viruses that cause respiratory disease syndromes and further aids in accurate and timely detection to control and prevent the spread of respiratory diseases caused by such pathogens.

An ATP-fueled nucleic acid signal amplification strategy for highly sensitive microRNA detection.

Herein, an adenosine triphosphate (ATP)-fueled nucleic acid signal amplification strategy based on toehold-mediated strand displacement (TMSD) and fluorescence resonance energy transfer (FRET) was proposed for highly sensitive detection of microRNA-21. More importantly, the target microRNA-21 could be regenerated with ATP as the fuel rather than a nucleotide segment in conventional approaches, which made the proposed strategy simple and efficient due to the high affinity and strength of the aptamer-target interaction.

Functional analyses of putative PalS (Palindromic Self-recognition) motifs in bacterial Hfq

The bacterial protein Hfq has been linked to nucleic acid metabolism and signaling, however its explicit role has been elusive. Recently it was proposed that the C-termini of Hfq subunits in Hfq6 complexes could be involved in functional interactions with other Hfq hexamers and/or nucleic acids. To test the proposed model of the native Hfq complex experimentally, we genetically engineered chimeric Hfq6 complexes, in which C-termini of bacterial Hfq subunits were substituted with a sequence derived from human histone H2B (hH2B) that includes multiple functionally significant amino acids whose modifications have been linked to carcinogenesis. We demonstrate that this substitution results in an enhanced formation of dodecameric assemblies by the Hfq–hH2B hybrid – a result pointing to the possibility of a (functional) homology between these motifs in proteins from distant kingdoms. We hypothesize that these putative Palindromic Self-recognition (PalS) motifs could act as proteins' ‘cohesive ends’ that could allow the protein complexes carrying such motifs to interact dynamically and dissociate–reassociate in response to stress and/or growth phase-specific changes. We provide experimental support to the latter hypothesis and demonstrate that in E. coli the dodecameric Hfq assemblies are formed in a growth stage-specific manner. We describe a refined system – consisting solely of purified Hfq, polynucleotide phosporylase (PNP) and ADP – that allows reconstitution in vitro of characteristic ‘SDS-insensitive’ Hfq6–Hfq6 assemblies observed in experiments with whole-cell extracts obtained from exponentially-growing cells. We also optimized conditions for the extraction of intact native dodecameric Hfq complexes.

Effects of High Toxic Boron Concentration on Protein Profiles in Roots of Two Citrus Species Differing in Boron-Tolerance Revealed by a 2-DE Based MS Approach.

Citrus are sensitive to boron (B)-toxicity. In China, B-toxicity occurs in some citrus orchards. So far, limited data are available on B-toxicity-responsive proteins in higher plants. Thirteen-week-old seedlings of “Sour pummelo” (Citrus grandis) and “Xuegan” (Citrus sinensis) was fertilized every other day until dripping with nutrient solution containing 10 μM (control) or 400 μM (B-toxicity) H3BO3 for 15 weeks. The typical B-toxic symptom only occurred in 400 μM B-treated C. grandis leaves, and that B-toxicity decreased root dry weight more in C. grandis seedlings than in C. sinensis ones, demonstrating that C. sinensis was more tolerant to B-toxicity than C. grandis. Using a 2-dimensional electrophoresis (2-DE) based MS approach, we identified 27 up- and four down-accumulated, and 28 up- and 13 down-accumulated proteins in B-toxic C. sinensis and C. grandis roots, respectively. Most of these proteins were isolated only from B-toxic C. sinensis or C. grandis roots, only nine B-toxicity-responsive proteins were shared by the two citrus species. Great differences existed in B-toxicity-induced alterations of protein profiles between C. sinensis and C. grandis roots. More proteins related to detoxification were up-accumulated in B-toxic C. grandis roots than in B-toxic C. sinensis roots to meet the increased requirement for the detoxification of the more reactive oxygen species and other toxic compounds such as aldehydes in the former. For the first time, we demonstrated that the active methyl cycle was induced and repressed in B-toxic C. sinensis and C. grandis roots, respectively, and that C. sinensis roots had a better capacity to keep cell wall and cytoskeleton integrity than C. grandis roots in response to B-toxicity, which might be responsible for the higher B-tolerance of C. sinensis. In addition, proteins involved in nucleic acid metabolism, biological regulation and signal transduction might play a role in the higher B-tolerance of C. sinensis.

Spectral and Hydrodynamic Analysis of West Nile Virus RNA-Protein Interactions by Multiwavelength Sedimentation Velocity in the Analytical Ultracentrifuge.

Interactions between nucleic acids and proteins are critical for many cellular processes, and their study is of utmost importance to many areas of biochemistry, cellular biology, and virology. Here, we introduce a new analytical method based on sedimentation velocity (SV) analytical ultracentrifugation, in combination with a novel multiwavelength detector to characterize such interactions. We identified the stoichiometry and molar mass of a complex formed during the interaction of a West Nile virus RNA stem loop structure with the human T cell-restricted intracellular antigen-1 related protein. SV has long been proven as a powerful technique for studying dynamic assembly processes under physiological conditions in solution. Here, we demonstrate, for the first time, how the new multiwavelength technology can be exploited to study protein-RNA interactions, and show how the spectral information derived from the new detector complements the traditional hydrodynamic information from analytical ultracentrifugation. Our method allows the protein and nucleic acid signals to be separated by spectral decomposition such that sedimentation information from each individual species, including any complexes, can be clearly identified based on their spectral signatures. The method presented here extends to any interacting system where the interaction partners are spectrally separable.

Label-free Raman spectroscopic imaging to extract morphological and chemical information from a formalin-fixed, paraffin-embedded rat colon tissue section.

SummaryAnimal models and archived human biobank tissues are useful resources for research in disease development, diagnostics and therapeutics. For the preservation of microscopic anatomical features and to facilitate long‐term storage, a majority of tissue samples are denatured by the chemical treatments required for fixation, paraffin embedding and subsequent deparaffinization. These aggressive chemical processes are thought to modify the biochemical composition of the sample and potentially compromise reliable spectroscopic examination useful for the diagnosis or biomarking. As a result, spectroscopy is often conducted on fresh/frozen samples. In this study, we provide an extensive characterization of the biochemical signals remaining in processed samples (formalin fixation and paraffin embedding, FFPE) and especially those originating from the anatomical layers of a healthy rat colon. The application of chemometric analytical methods (unsupervised and supervised) was shown to eliminate the need for tissue staining and easily revealed microscopic features consistent with goblet cells and the dense populations of cells within the mucosa, principally via strong nucleic acid signals. We were also able to identify the collagenous submucosa‐ and serosa‐ as well as the muscle‐associated signals from the muscular regions and blood vessels. Applying linear regression analysis to the data, we were able to corroborate this initial assignment of cell and tissue types by confirming the biological origin of each layer by reference to a subset of authentic biomolecular standards. Our results demonstrate the potential of using label‐free Raman microspectroscopy to obtain superior imaging contrast in FFPE sections when compared directly to conventional haematoxylin and eosin (H&E) staining.

NMR Signal Assignments of Human Adenylate Kinase 1 (hAK1) and its R138A Mutant (hAK1R138A)

Adenylate kinase (AK) enzyme which acts as the catalyst of reversible high energy phosphorylation reaction between ATP and AMP which associate with energetic metabolism and nucleic acid synthesis and signal transmission. This enzyme has three distinct domains: Core, AMP binding domain (AMPbd) and Lid domain (LID). The primary role of AMPbd and LID is associated with conformational changes due to flexibility of two domains. Three dimensional structure of human AK1 has not been confirmed and various mutation experiments have been done to determine the active sites. In this study, AK1R138A which is changed arginine[138] of LID domain with alanine[138] was made and conducted with NMR experiments, backbone dynamics analysis and mo-lecular docking dynamic simulation to find the cause of structural change and substrate binding site. Synthetic human muscle type adenylate kinase 1 (hAK1) and its mutant (AK1R138A) were re-combinded with E. coli and expressed in M9 cell. Expressed proteins were purified and finally gained at 0.520 mM hAK1 and 0.252 mM AK1R138A. Multinuclear multidimensional NMR experiments including HNCA, HN(CO)CA, were conducted for amino acid sequence analysis and signal assignments of HSQC spectrum. Our chemical shift perturbation data is shown LID domain residues and around alanine[138] and per-turbation value(0.22ppm) of valine[179] is consid-ered as inter-communication effect with LID domain and the structural change between hAK1 and AK1R138A.

Rapid detection of aflatoxigenic Aspergillus sp. in herbal specimens by a simple, bendable, paper-based lab-on-a-chip.

Postharvest herbal product contamination with mycotoxins and mycotoxin-producing fungi represents a potentially carcinogenic hazard. Aspergillus flavus is a major cause of this issue. Available mold detection methods are PCR-based and rely heavily on laboratories; thus, they are unsuitable for on-site monitoring. In this study, a bendable, paper-based lab-on-a-chip platform was developed to rapidly detect toxigenic Aspergillus spp. DNA. The 3.0-4.0 cm(2) chip is fabricated using Whatman™ filter paper, fishing line and a simple plastic lamination process and has nucleic acid amplification and signal detection components. The Aspergillus assay specifically amplifies the aflatoxin biosynthesis gene, aflR, using loop-mediated isothermal amplification (LAMP); hybridization between target DNA and probes on blue silvernanoplates (AgNPls) yields colorimetric results. Positive results are indicated by the detection pad appearing blue due to dispersed blue AgNPls; negative results are indicated by the detection pad appearing colorless or pale yellow due to probe/target DNA hybridization and AgNPls aggregation. Assay completion requires less than 40 min, has a limit of detection (LOD) of 100 aflR copies, and has high specificity (94.47%)and sensitivity (100%). Contamination was identified in 14 of 32 herbal samples tested (43.75%). This work demonstrates the fabrication of a simple, low-cost, paper-based lab-on-a-chip platform suitable for rapid-detection applications.

Ultra-sensitive “turn-on” detection method for Hg2+ based on mispairing biosensor and emulsion PCR

Sensor-based detection methods have inspired the idea that chemical or physical signals could be converted to nucleic acid signals to be quantitatively detected using a combination of appropriate detection tools. To achieve ultra-sensitive and absolute quantitative detection of mercury ion (Hg2+), we have combined a mispairing biosensor for Hg2+ and emulsion PCR. The parameters that might influence the biosensor step, such as the duration of isothermal amplification and the concentration of the sensor oligonucleotide, have been firstly optimized in our study to achieve the most efficient biosensor detection. The evaluation results of secondary structures between the biosensors with different number of T-Hg-T structures achieved by Circular Dichroism have indicated that the secondary hairpin structure would be varied according to the change of number of T-Hg-T structures, which could influence the quantitative detection results. Further optimization of number of T-Hg-T within the biosensor sequences showed that 5 T-Hg-T structures could generate the most efficient amplification. After the above optimizations, the emulsion PCR has been employed to achieve the absolute quantitation of nucleic acid signals. The final results have shown that the limit of quantitation (LOQ) in our study was as low as 40fmol, and the limit of detection (LOD) was 10fmol. The practical detection tests showed that the quantitative results were stable and accurate for all substrates. In conclusion, by combining a mispairing biosensor with emulsion PCR, we developed a flexible and stable quantitative “turn-on” detection method with ultra-sensitivity that can detect trace amounts Hg2+ within different substrates.

Blood-based signatures in type 1 diabetes.

Type 1 diabetes mellitus is one of the most common chronic diseases in childhood. It develops through autoimmune destruction of the pancreatic beta cells and results in lifelong dependence on exogenous insulin. The pathogenesis of type 1 diabetes involves a complex interplay of genetic and environmental factors and has historically been attributed to aberrant adaptive immunity; however, there is increasing evidence for a role of innate inflammation. Over the past decade new methodologies for the analysis of nucleic acid and protein signals have been applied to type 1 diabetes. These studies are providing a new understanding of type 1 diabetes pathogenesis and have the potential to inform the development of new biomarkers for predicting diabetes onset and monitoring therapeutic interventions. In this review we will focus on blood-based signatures in type 1 diabetes, with special attention to both direct transcriptomic analyses of whole blood and immunocyte subsets, as well as plasma/serum-induced transcriptional signatures. Attention will also be given to proteomics, microRNA assays and markers of beta cell death. We will also discuss the results of blood-based profiling in type 1 diabetes within the context of the genetic and environmental factors implicated in the natural history of autoimmune diabetes.

Root iTRAQ protein profile analysis of two Citrus species differing in aluminum-tolerance in response to long-term aluminum-toxicity.

BackgroundLimited information is available on aluminum (Al)-toxicity-responsive proteins in woody plant roots. Seedlings of ‘Xuegan’ (Citrus sinensis) and ‘Sour pummelo’ (Citrus grandis) were treated for 18 weeks with nutrient solution containing 0 (control) or 1.2 mM AlCl3 · 6H2O (+Al). Thereafter, we investigated Citrus root protein profiles using isobaric tags for relative and absolute quantification (iTRAQ). The aims of this work were to determine the molecular mechanisms of plants to deal with Al-toxicity and to identify differentially expressed proteins involved in Al-tolerance.ResultsC. sinensis was more tolerant to Al-toxicity than C. grandis. We isolated 347 differentially expressed proteins from + Al Citrus roots. Among these proteins, 202 (96) proteins only presented in C. sinensis (C. grandis), and 49 proteins were shared by the two species. Of the 49 overlapping proteins, 45 proteins were regulated in the same direction upon Al exposure in the both species. These proteins were classified into following categories: sulfur metabolism, stress and defense response, carbohydrate and energy metabolism, nucleic acid metabolism, protein metabolism, cell transport, biological regulation and signal transduction, cell wall and cytoskeleton metabolism, and jasmonic acid (JA) biosynthesis. The higher Al-tolerance of C. sinensis may be related to several factors, including: (a) activation of sulfur metabolism; (b) greatly improving the total ability of antioxidation and detoxification; (c) up-regulation of carbohydrate and energy metabolism; (d) enhancing cell transport; (e) decreased (increased) abundances of proteins involved in protein synthesis (proteiolysis); (f) keeping a better balance between protein phosphorylation and dephosphorylation; and (g) increasing JA biosynthesis.ConclusionsOur results demonstrated that metabolic flexibility was more remarkable in C. sinenis than in C. grandis roots, thus improving the Al-tolerance of C. sinensis. This provided the most integrated view of the adaptive responses occurring in Al-toxicity roots.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-2133-9) contains supplementary material, which is available to authorized users.