Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique.

The visual detection, classification, and differentiation of cancers within tissues of clinical patients is an extremely difficult and time-consuming process with severe diagnosis implications. To this end, many computational approaches have been developed to analyse tissue samples to supplement histological cancer diagnoses. One approach is the interrogation of the chemical composition of the actual tissue samples through the utilisation of vibrational spectroscopy, specifically Infrared (IR) spectroscopy. Cancerous tissue can be detected by analysing the molecular vibration patterns of tissues undergoing IR irradiation, and even graded, with multivariate and Machine Learning (ML) techniques. This publication serves to review and highlight the potential for the application of infrared microscopy techniques such as Fourier Transform Infrared Spectroscopy (FTIR) and Quantum Cascade Laser Infrared Spectroscopy (QCL), as a means to improve diagnostic accuracy and allow earlier detection of human neoplastic disease. This review provides an overview of the detection and classification of different cancerous tissues using FTIR spectroscopy paired with multivariate and ML techniques, using the F1-Score as a quantitative metric for direct comparison of model performances. Comparisons also extend to data handling techniques, with a provision of a suggested pre-processing protocol for future studies alongside suggestions as to reporting standards for future publication.

In vivo chemical and structural analysis of plant cuticular waxes using stimulated Raman scattering microscopy.

The cuticle is a ubiquitous, predominantly waxy layer on the aerial parts of higher plants that fulfils a number of essential physiological roles, including regulating evapotranspiration, light reflection, and heat tolerance, control of development, and providing an essential barrier between the organism and environmental agents such as chemicals or some pathogens. The structure and composition of the cuticle are closely associated but are typically investigated separately using a combination of structural imaging and biochemical analysis of extracted waxes. Recently, techniques that combine stain-free imaging and biochemical analysis, including Fourier transform infrared spectroscopy microscopy and coherent anti-Stokes Raman spectroscopy microscopy, have been used to investigate the cuticle, but the detection sensitivity is severely limited by the background signals from plant pigments. We present a new method for label-free, in vivo structural and biochemical analysis of plant cuticles based on stimulated Raman scattering (SRS) microscopy. As a proof of principle, we used SRS microscopy to analyze the cuticles from a variety of plants at different times in development. We demonstrate that the SRS virtually eliminates the background interference compared with coherent anti-Stokes Raman spectroscopy imaging and results in label-free, chemically specific confocal images of cuticle architecture with simultaneous characterization of cuticle composition. This innovative use of the SRS spectroscopy may find applications in agrochemical research and development or in studies of wax deposition during leaf development and, as such, represents an important step in the study of higher plant cuticles.

Label-free chemically specific imaging in planta with stimulated Raman scattering microscopy.

The growing world population puts ever-increasing demands on the agricultural and agrochemical industries to increase agricultural yields. This can only be achieved by investing in fundamental plant and agrochemical research and in the development of improved analytical tools to support research in these areas. There is currently a lack of analytical tools that provide noninvasive structural and chemical analysis of plant tissues at the cellular scale. Imaging techniques such as coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS) microscopy provide label-free chemically specific image contrast based on vibrational spectroscopy. Over the past decade, these techniques have been shown to offer clear advantages for a vast range of biomedical research applications. The intrinsic vibrational contrast provides label-free quantitative functional analysis, it does not suffer from photobleaching, and it allows near real-time imaging in 3D with submicrometer spatial resolution. However, due to the susceptibility of current detection schemes to optical absorption and fluorescence from pigments (such as chlorophyll), the plant science and agrochemical research communities have not been able to benefit from these techniques and their application in plant research has remained virtually unexplored. In this paper, we explore the effect of chlorophyll fluorescence and absorption in CARS and SRS microscopy. We show that with the latter it is possible to use phase-sensitive detection to separate the vibrational signal from the (electronic) absorption processes. Finally, we demonstrate the potential of SRS for a range of in planta applications by presenting in situ chemical analysis of plant cell wall components, epicuticular waxes, and the deposition of agrochemical formulations onto the leaf surface.

Mutation of a nicotinic acetylcholine receptor ß subunit is associated with resistance to neonicotinoid insecticides in the aphid Myzus persicae.

BACKGROUND: Myzus persicae is a globally important aphid pest with a history of developing resistance to insecticides. Unusually, neonicotinoids have remained highly effective as control agents despite nearly two decades of steadily increasing use. In this study, a clone of M. persicae collected from southern France was found, for the first time, to exhibit sufficiently strong resistance to result in loss of the field effectiveness of neonicotinoids. RESULTS: Bioassays, metabolism and gene expression studies implied the presence of two resistance mechanisms in the resistant clone, one based on enhanced detoxification by cytochrome P450 monooxygenases, and another unaffected by a synergist that inhibits detoxifying enzymes. Binding of radiolabeled imidacloprid (a neonicotinoid) to whole body membrane preparations showed that the high affinity [3H]-imidacloprid binding site present in susceptible M. persicae is lost in the resistant clone and the remaining lower affinity site is altered compared to susceptible clones. This confers a significant overall reduction in binding affinity to the neonicotinoid target: the nicotinic acetylcholine receptor (nAChR). Comparison of the nucleotide sequence of six nAChR subunit (Mpα1-5 and Mpß1) genes from resistant and susceptible aphid clones revealed a single point mutation in the loop D region of the nAChR ß1 subunit of the resistant clone, causing an arginine to threonine substitution (R81T). CONCLUSION: Previous studies have shown that the amino acid at this position within loop D is a key determinant of neonicotinoid binding to nAChRs and this amino acid change confers a vertebrate-like character to the insect nAChR receptor and results in reduced sensitivity to neonicotinoids. The discovery of the mutation at this position and its association with the reduced affinity of the nAChR for imidacloprid is the first example of field-evolved target-site resistance to neonicotinoid insecticides and also provides further validation of exisiting models of neonicotinoid binding and selectivity for insect nAChRs.

Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease.

Medicines and agricultural biocides are often discovered using large phenotypic screens across hundreds of compounds, where visible effects of whole organisms are compared to gauge efficacy and possible modes of action. However, such analysis is often limited to human-defined and static features. Here, we introduce a novel framework that can characterize shape changes (morphodynamics) for cell-drug interactions directly from images, and use it to interpret perturbed development of Phakopsora pachyrhizi, the Asian soybean rust crop pathogen. We describe population development over a 2D space of shapes (morphospace) using two models with condition-dependent parameters: a top-down Fokker-Planck model of diffusive development over Waddington-type landscapes, and a bottom-up model of tip growth. We discover a variety of landscapes, describing phenotype transitions during growth, and identify possible perturbations in the tip growth machinery that cause this variation. This demonstrates a widely-applicable integration of unsupervised learning and biophysical modeling.

Spiro N-methoxy piperidine ring containing aryldiones for the control of sucking insects and mites: discovery of spiropidion.

BACKGROUND: Crop protection solutions for the control of key economic sucking pests derive essentially from neuronal and muscular acting chemistries, wherein neonicotinoid uses largely dominated for the last two decades. Anticipating likely resistance development of some of those arthropod species to this particular class, we intensified research activities on a non-neuronal site of action targeting insect growth and development some 10 years ago. RESULTS: Our innovation path featured reactivation of a scarcely used and simple building block from the 1960s, namely N-methoxy-4-piperidone 3. Its judicious incorporation into the 2-aryl-1,3-dione scaffold of IRAC group 23 inhibitors of fatty acid biosynthesis resulted in novel tetramic acid derivatives acting on acetyl-coenzyme A carboxylase (ACCase). The optimization campaign focused on modulation of the aryl substitution pattern and understanding substituent options at the lactam nitrogen position of those spiroheterocyclic pyrrolidine-dione derivatives towards an effective control of sucking insects and mites. This work gratifyingly culminated in the discovery of spiro N-methoxy piperidine containing proinsecticide spiropidion 1. Following in planta release, its insecticidally active dione metabolite 2 is translaminar and two-way systemic (both xylem and phloem mobile) for a full plant protection against arthropod pests. CONCLUSION: Owing to such unique plant systemic properties, growing shoots and roots actually not directly exposed to spiropidion-based chemistry after foliar application nevertheless benefit from its long-lasting efficacy. Spiropidion is for use in field crops, speciality crops and vegetables controlling a broad range of sucking pests. In light of other performance and safety profiles of spiropidion, an IPM fit may be expected. © 2020 Society of Chemical Industry.

Comparative metabolism of alpha- and beta-peptides in the insect Heliothis virescens and in plant cells of black Mexican sweet maize.

The tripeptide H-Val-Ala-Leu-OH and the N-Ac-tetrapeptide amide Ac-Thr-Lys-Trp-Phe-NH2, and their beta-peptidic counterparts H-beta(3)hVal-beta(3)hAla-beta(3)hLeu-OH and Ac-beta(3)hThr-(S)beta(2)hLys-beta(3)hTrp-beta(3)hPhe-NH2, respectively, have been injected into Heliothis virescens larvae and added to cell cultures of black mexican sweet maize. The body liquids of the larvae and the supernatant of the plant cell cultures were sampled 0, 2, 3, 6, 17, and/or 24 h after application and analyzed by LC/MS. While the two alpha-peptides were degraded rapidly in these environments, the concentration of the beta-peptides was found to decrease very slowly. Thus, ca. 60% of the original amount of the beta-tetrapeptide was detected in the liquids of the insect after 24 h. The plant cells did not seem to make use of the beta-peptides at all, whereas, the alpha-tripeptide completely disappeared from the supernatant after 3 h. Thus, we have demonstrated, for the first time, the high stability of beta-peptides against degradation and metabolism in an insect and a plant. Especially remarkable is the persistence of the beta-tetrapeptide with its functionalised and, thus, 'metabolisable' side chains of Thr, Lys, Trp, and Phe in the insect larvae, which are known to have a high level of activity of oxidizing enzymes. The results described here match those of ADME investigations with radioactively labeled beta-peptides in rats, where essentially complete stability has been observed, while environmental microorganisms have been found to biodegrade beta-peptides, albeit slowly. Possible implications of these findings for biomedical and pest-control applications are proposed.