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HRMAS NMR and MRI spectroscopies distinguish metabolome and structural properties of maize seeds from plants treated with different fertilizers and arbuscular mycorrhizal fungi Pierluigi Mazzei, Vincenza Cozzolino, and Alessandro Piccolo J. Agric. Food Chem., Just Accepted Manuscript • Publication Date (Web): 11 Jan 2018 Downloaded from http://pubs.acs.org on January 11, 2018

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Journal of Agricultural and Food Chemistry

Research Article

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HRMAS NMR and MRI spectroscopies distinguish metabolome and structural properties of maize seeds from plants treated with different fertilizers and arbuscular mycorrhizal fungi

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Pierluigi Mazzei†,*, Vincenza Cozzolino‡, Alessandro Piccolo†, ‡, *

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†Centro Interdipartimentale per la Risonanza Magnetica Nucleare per l’Ambiente, l’Agro-

Alimentare ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy ‡

Dipartimento di Agraria, Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy

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Keywords: HRMAS, MRI, Metabolomics, Maize Caryopses, Fertilization, Compost, Arbuscular Mycorrhizal Fungi.

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ACS Paragon Plus Environment


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ABSTRACT: Both High-Resolution Magic-Angle-Spinning (HRMAS) and Magnetic Resonance

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Imaging (MRI) NMR spectroscopies were applied here to identify the changes of metabolome,

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morphology and structural properties induced in seeds (caryopses) of maize plants grown at field

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level under either mineral or compost fertilization in combination with the inoculation by Arbuscular

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Mycorrhizal Fungi (AMF). The metabolome of intact caryopses was examined by HRMAS-NMR,

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while the morphological aspects, endosperm properties and seed water distribution were investigated

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by MRI. Principal Component Analysis was applied to evaluate 1H CPMG (Carr-Purcel-Meiboom-

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Gill) HRMAS spectra as well as several MRI-derived parameters (T1, T2 and self-diffusion

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coefficients) of intact maize caryopses. PCA score-plots from spectral results indicated that both

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seeds metabolome and structural properties depended on the specific field treatment undergone by

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maize plants. Our findings show that a combination of multivariate statistical analyses with advanced

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and non-destructive NMR techniques, such as HRMAS and MRI, enable the evaluation of the effects

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induced on maize caryopses by different fertilization and management practices at field level. The

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spectroscopic approach adopted here may become useful for the objective appraisal of the quality of

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seeds produced under a sustainable agriculture.

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■ INTRODUCTION

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The identification of efficient and sustainable strategies to promote plants growth is a major

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challenge in the agrofood sector, especially for the most important food crops such as maize, wheat

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and rice.1 A traditional practice is the amendment to soils of mineral fertilizers containing the

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essential macronutrients, whose scarcity may otherwise represent a growth limiting-factor for

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plants.2 Large if not excessive amount of mineral fertilizers are commonly applied in order to

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maintain high crop yields, and compensate both the progressive P immobilization3 in soils and the

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consumption due to microbial activity,4 but leading to costly and environmentally negative

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conditions.5 An alternative to traditional fertilizers is the amendment of nutrients in their organic

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form,6 such as in compost that is a biochemically stable organic material rich in organic P and N

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forms.7-10

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An increase in plant nutrient uptake is promoted by soil inoculation with beneficial

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microorganisms, such as Arbuscular Mycorrhizal Fungi (AMF), which enhance the degree of

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sustainability in industrial agriculture.11 AMF are widespread in most terrestrial ecosystems where

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they form symbiotic associations with the majority of plants. AMF protect plants against pathogens

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and facilitate nutrients uptake through several mechanisms, including the formation of an extensive

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extraradical mycelium, the stimulation of roots elongation, and the induced solubilization of poorly

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bioavailable nutrients.12 In fact, AMF are regarded as a means to reduce the excessive supply of

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fertilizers, thus enhancing, directly and indirectly, the natural soil fertility in agricultural

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ecosystems.13

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Despite the attempts to introduce sustainable practices in agriculture, an exhaustive knowledge is

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still lacking on the molecular mechanisms that make the alternative practices effective and how they

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influence plants metabolic responses and their products. We believe that the use of advanced

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molecular analytical techniques such as Nuclear Magnetic Resonance (NMR) spectroscopy may 3



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contribute to identify and understand the changes occurring in plants due to field treatments with

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innovative sustainable practices. In particular, HRMAS (High Resolution Magic Angle Spinning)

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and MRI (Magnetic Resonance Imaging) represent non-destructive NMR techniques that may

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provide direct molecular and structural information on plant fresh samples.14-16

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HRMAS retains the advantages of both traditional solid- and liquid-state NMR techniques

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and allows the direct examination of whole fresh samples without the need of preliminary

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extractions.17-18 Moreover, HRMAS 1D spectra were proved useful for the Metabolomics analysis of

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biological samples and the dynamic evaluation of treatment-dependent metabolic processes

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occurring in plants.16, 19-22 With regard to maize plants, NMR-based metabolomics was employed to

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study genetically modified samples,23-25 and to monitor the influence exerted by stress conditions,

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such as excess salts26 or nitrogen deficiency.27

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As a complementary NMR technique, MRI enables acquisition of morphological and

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anatomical images of intact samples at a µm level and permits to extrapolate structural information

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based on mobility and compartmentalization of constitutive water.28 Currently, MRI is mainly used

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on mammalians within medical, diagnostic and pharmaceutical applications. In fact, MRI is a

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consolidated analytical method for the rapid non-invasive evaluation of changes in tissues

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morphology, and occurrence of specific diseases, such as cancers development.28-29

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Despite its specific large potential, MRI is still underutilized in the research on plants and

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food.30-31 Only few works have so far reported on MRI applications for maize plants ad seeds. For

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example, the effects of steeping processes on maize caryopses were followed by 2D images and MRI

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moisture profile,32 while 1H MRI was applied to investigate the cell water balance of maize plants

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during osmotic stress.33 MRI images and relaxation times were used to examine changes in the

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physical state of water of maize seeds when dried at sub-zero temperatures.34 MRI was applied to

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design a physical model of heat and mass transfer in maize caryopses in order to assess the

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dehydration degree and quality degradation of seeds during fluidized-bed drying.35 4


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The aim of this work was thus to apply HRMAS and MRI spectroscopies to evaluate the effects

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on maize caryopses of field amendments with mineral or compost fertilization and of inoculation

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with a selected AMF consortium.

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■ MATERIALS AND METHODS

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Field experiment. Caryopses were collected from maize plants (Zea mays L. cv 3321

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Limagrain) of field experiments conducted at the Experimental Station of University of Naples

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Federico II, near Castel Volturno (CE), Campania, Italy. The site is governed by a Mediterranean

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climate, with moist cool winters and warm dry summers. The soil was classified as Typic Vertic

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Xerofluvent, with a clayey texture (22% sand, 28% silt, and 50% clay). The field experiment

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consisted in 5 x 8 meter plots, which received the following treatments: (i) control (M-), (ii) 15 t ha-1

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of compost made with organic urban wastes (COM), (iii) a mineral fertilizer (MIN) (N250P150K160)

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composed by 250 kg ha-1 of N (as urea), 150 kg ha-1 of P2O5 (as Ca(H2PO4)2) and 160 kg ha-1 of K

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(as K2SO4). Moreover, soils were also treated with AMF inoculation (+) (Arbuscular

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Mycorrhizal Fungi, as a commercial fungal inoculum), either (iv) without (M+) or (v) with mineral

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fertilizer (MIN+) or (vi) compost (COM+). The commercial inoculum contained 50 AMF infective

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propagules g-1 of product (information provided by the supplier) and consisted of a mixture of 50%

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Rhizophagus irregularis and 50% Funneliformis mosseae (previously named Glomus intraradices

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and Glomus mosseae, respectively) (AEGIS®, Italpollina, Rivoli Veronese, Italy). This microbial

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mix was defined on the basis of preliminary field trial-tests (data not shown) which selected the

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combination with the greatest adaptability and performance. Each treatment was replicated three

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times, resulting in 18 total experimental plots, which were randomly distributed (complete

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randomized design). Mineral fertilizer and compost were manually broadcasted and incorporated in 5



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soil. The compost was broadcasted three weeks before sowing, while the inocula (20 kg ha−1) were

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applied during sowing by a seed-drill microgranulator. Maize seeds were linearly sowed at 10 cm

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distance, while the distance among rows was 75 cm. The plant density corresponded to 7 plants per

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m2.

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Caryopses collection and sample preparation. A representative number of cobs per plot

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were harvested during the milky ripeness stage of maize seeds (80 days after sowing) by sampling

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only plants located in the centre of each plot. A sufficient number (>100) of caryopses were gently

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removed from cobs of each treatment, and stored at -80°C until NMR analysis. Maize caryopses for

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MRI analysis were directly loaded into a 10mm MRI tube after a 30 min of defrosting time. Maize

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samples for HRMAS analysis were prepared by cutting longitudinally the pericarp and aleurone

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outer layers of each caryopsis and collecting about 15 mg of fresh material with a spongy

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consistency. In particular, the latter was prevalently composed by the endosperm that typically

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represents the 69-83% of maize caryopsis dry weight.36 Each HRMAS analytical replicate

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corresponded to material isolated from a single seed. The material was then packed into a 4 mm

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zirconia HRMAS rotor, fitted with a perforated Teflon insert, soaked with approximately 15 µL of

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D2O solution (99.8% D2O/H2O, Armar Chemicals) and sealed with a Kel-F cap (Rototech-Spintech

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GmbH). A spin rate of 5000 Hz±1 was adopted to rotate samples. A number of 4 replicates for each

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field parcel were analysed, thus resulting in 12 total replicates for each plant treatment.

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HRMAS NMR Experiments. All HRMAS NMR experiments were conducted at 298±1K on

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a 400 MHz Bruker Avance magnet (Bruker Biospin, Rheinstetten, Germany), equipped with a

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Bruker 1H-13C HRMAS probe working at a 1H frequency of 400.13 MHz. A Carr-Purcel-Meiboom6


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Gill (CPMG) NMR pulse sequence was used to acquire 1H spectra of maize caryopses. This

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sequence was preferred to a conventional 1H acquisition since it allowed application of a T2-filter to

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enable a selective suppression of overlapping signals due to compounds with short spin-spin (T2)

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relaxation time. The experiments were acquired by setting 2 seconds of recycle delay, a 90° pulse

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length ranging within 6.5 and 8.6 µs, 16384 points, a spectral width of 16 ppm (6410.3 Hz) and 256

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scans. In particular, the CPMG pulse sequence, that is based on a spin-echo method, was performed

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with a total spin-spin relaxation delay (2nτ) of 320 ms, including single optimal echo times (τ) of 2

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ms. The signal of residual water was suppressed by an on-resonance pre-saturation during thermal

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equilibrium delay. Structural identification of maize seeds metabolites was assessed by 2D NMR

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experiments, consisting in homo-nuclear 1H–1H COSY (Correlation SpectroscopY), TOCSY (Total

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COrrelationSpectroscopY) and J-RES as well as hetero-nuclear 1H–13C HSQC (Hetero-nuclear

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Single-Quantum Correlation) and HMBC (Hetero-nuclear Multiple Bond Correlation). All 2D

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experiments had a spectral width of 16 (6410.3 Hz) and 300 (30186.8 Hz) ppm for 1H and 13C nuclei,

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respectively, and a time domain of 2048 points (F2) and 256 experiments (F1). In particular, all

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homo-nuclear 2D spectra consisted in 16 dummy scans and 64 total transients and, in case of

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TOCSY experiment, a mixing time of 80 ms and a trim pulse length of 2500 ms. HSQC and HMBC

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hetero-nuclear experiments were acquired with 16 dummy scans, 80 total transients and 0.5 µs of

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trim pulse length. The optimization of these heteronuclear experiments was conducted by taking into

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account 145 and 6.5 Hz as optimal 1H –13C short and long range J-couplings, respectively. A phase

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and baseline correction was applied to all mono- and bi-dimensional spectra. 1H 1D spectra were

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Fourier Transformed without any apodization and by applying a two-fold zero-filling. NMR data

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were processed by using both Bruker Topspin Software (v 2.1, BrukerBiospin, Rheinstetten,

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Germany) and MNOVA Software (v.9.0, Mestrelab Research, Santiago de Compostela, Spain).

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Magnetic Resonance Imaging (MRI) Experiments. All MRI experiments were performed at

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298±1K on a 300 MHz Bruker Avance wide-bore magnet (BrukerBiospin, Rheinstetten, Germany)

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and equipped with a 10 mm µ-imaging MICRO 5 probe working at a 1H frequency of 300.13 MHz.

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T2 experiments were performed by applying an echo‐train MSME (Multi‐Slice‐Multi‐Echo) pulse

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sequence, setting 3 s of recycle delay, 10 scans and acquiring 16 experiments with an increasing

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number of spin-echoes (total spin-echo time ranging within 10.57 and 169.12 ms). Spin density

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measurements were performed by considering the images obtained at the shortest echo-delay (10.57

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ms) in MSME experiments, whereas T2-weighted images were achieved by selecting a total echo-

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delay of 42.3 ms. T1 measurements were acquired by RARE (Rapid Acquisition with Relaxation

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Enhancement) experiments which consisted of 10 scans, a rare-factor of 2 and increasing repetition

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times ranging within 0.188 and 7.5 s in 8 experiments. Diffusion measurements were performed by

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using a Pulse Field Gradient (PFG) sequence integrated with stimulated echoes. This experiment

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was set up with 3 s of recycle delay, 5 scans, δ and ∆ diffusion delays of 4 and 13 ms, respectively,

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and applying gradients at increasing strengths (0, 4.5, 112.0, 362.9, 757.3, 1295.0 and 2168.8 s mm-

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2

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gradient pulses in longitudinal (z) or transverse (y) direction, it was assumed an isotropic apparent

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diffusion in seeds. Consequently, the gradients for PFG experiments have been applied only in the z

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direction in all cases. Diffusion-weighted images were acquired by selecting the gradient strength of

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362.9 s mm-2. In all cases the images consisted of a 256x256 matrix produced by acquiring 6

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interlaced coronal (and sagittal, in some cases) slices with a width of 1 mm, a field of view of

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1.33x1.0 mm, and 1.07 mm of slice-interdistance.

) in 7 experiments. Since no significant differences in diffusivity were observed by applying

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3D experiments (rare 3D pulse sequence, 128x128x128 matrix, field of view 13x13x13 mm,

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rare factor of 8, 24 scans, 3 s of recycle delay and 3.075 ms of echo time) were performed only for

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several representative samples as well as relaxation and diffusion experiments were repeated by 8


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using also axial slices. ParaVision 5.1 Bruker software was used to process MRI data, attain all of the

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images, calculate T1 and T2 relaxation times as well as the apparent diffusion coefficients.

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Multivariate data analyses. The spectral region ranging from 0.1 to 9.22 ppm in 1H CPMG

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HRMAS NMR spectra was equally divided into 228 segments (each single bucket width

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corresponded to 0.04 ppm). All these segments were integrated, except the region of the baseline

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distortion resulting from water suppression (4.9-4.66 ppm). The spectral integration produced a data

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matrix composed by 228 variables x 72 observations (12 replicates for 6 treatments). Data were

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normalized, by dividing each segment area by the sum of all signals areas, and Pareto-scaled prior to

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perform Principal Component Analysis (PCA).37-38

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Also MRI parametric data (apparent diffusion coefficients, T1 and T2 relaxation times) were

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calculated and evaluated by PCA. In detail, they were selected one large (5 cm2) and two small (1

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cm2) sized Regions of Interest (ROIs) for both vitreous and floury endosperm. For each MRI

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parameter and endospermic compartment, it was calculated the average value among the three above

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mentioned ROIs. The resulting averaged values were then included in the data matrix for MRI-based

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PCAs which was composed by 6 variables x 36 observations (6 replicates per treatment).

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In all cases, the variables mostly involved in the differentiation among treatments were

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identified on the basis of PCA loading-plots, while their significance (Tukey Test, confidence level

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>95%) was assessed separately by ANOVA (ANalysis Of VAriance) test. Statistical elaborations

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were carried out by the XLStat software (v. 2012, Addinsoft, Paris, France).

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■ RESULTS AND DISCUSSION

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HRMAS. A 1H HRMAS NMR spectrum of a representative maize caryopsis (M-) (Figure 1)

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was obtained by a CPMG NMR pulse sequence to selectively suppress broad signals, which are

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typically due to relatively large lipid and protein molecules, such as zein, albumin and glutelin.36

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Elimination of broad signals improved the proton spectral resolution, thus resulting into easier

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compound assignment and reproducible quantitative elaboration. Identification of principal signals

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(Figure 1) was conducted on the basis of previous literature assignments23,26,39 and supported by the

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homo- and heteronuclear 2D NMR spectra of this study (data not shown). Primary metabolites, such

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as carbohydrates, amino acids, alcohols and several organic acids, were identified in spectra of fresh

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caryopses (Figure 1). The most intense proton signals were ascribed to carbohydrates and consisted

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in overlapped multiplets ranging from 5.5 to 3.5 ppm. This was expected since the analyzed seed part

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was mostly represented by the endosperm that is prevalently composed by carbohydrates and

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starch.40 The multiplets detected in the spectral region between 2.35 and 2.01 ppm were assigned to

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proline\glutamate, as superimposition of proton signals belonging to both glutamate (βCH2 and

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γCH2) and proline (β’CH2 and βCH) amino acids.23

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While no specific molecular markers were identified to enable a distinction among

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treatments, the quantitative evaluation of the relative concentration of several metabolites was found

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to vary according with plant treatments, thus indicating an induced modulation of the maize

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metabolism. This became evident by processing the 1H-HRMAS NMR spectra by Principal

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Component Analysis (PCA). PCA is an unsupervised pattern-recognition technique to evaluate the

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intrinsic variation within different classes of samples. In fact, this multivariate elaboration calculates

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linear combinations of a starting set of variables on the basis of their maximum variance and reduces

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the dimensionality of the original data matrix, while retaining the maximum amount of variability, as

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well as most of the original information contained in the data set.37-38 Moreover, PCA offers the

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practical advantage of exploring, in a single output, referred to as score-plot, the molecular response

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induced in numerous samples on the basis of a large number of variables.38,41 10


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The PCA facilitated the direct comparison among the HRMAS spectral data set of this study,

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which consisted in a relatively dense matrix composed by 228 variables (buckets) and 72

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observations (12 replicates x 6 treatments). Three PCA score-plots related to samples deriving from

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MIN (Figure 2A), COM (Figure 2B) and M+ (Figure 2C) field treatments, indicated significant

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differences (Tukey Test in ANOVA, confidence level > 95%) as compared to M- samples. Each

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score-plot shows the direction assumed by the most relevant loading vectors (variables) which are

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responsible for the differentiation among treatments (Figures S1A, B and C of the Supporting

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Information, respectively). The almost neat separation among samples of different treatments

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suggests that field treatments systematically influenced the metabolome of maize caryopses.

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Concomitantly, the closeness of replicates deriving from the same treatment indicates a good

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reproducibility of HRMAS technique (Figure 2). Remarkably, the statistical reliability of our results

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is supported by the fact that the 12 replicates for each treatment were collected from three different

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subplots (4 field-replicates for each specific parcel).

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The score-plot of M- versus MIN samples (Figure 2A) results from the combination of PC1

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and PC3, accounting for 50.6% of the total explained variance. According to the direction of the

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most relevant loading-vectors (Figure S1A of the Supporting Information), MIN samples were

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characterized by a larger amount of alanine, proline\glutamate and tryptophan amino acids than for

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M- (Figure 2A). This abundance of amino acids may be related to a more efficient nitrogen plant

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uptake, resulting from a larger availability of readily soluble N in soils amended with the mineral

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fertilizer.42

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The relationship between M- and COM samples was shown by the PCA score-plot that was

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obtained by combining PC3 with PC11 (Figure 2B). Despite the relatively lower explained variance,

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this score-plot showed the differences occurring between M- and COM samples, and revealed that

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COM samples contained a larger amount of isoleucine, but a lower concentration of alanine,

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proline\glutamate, leucine and citric acid than for M- (Figure S1B of the Supporting Information). 11



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This result may be again related to the immediate availability of nitrogen42 that, in the case of

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compost, should be first mineralized from its organic forms, thus leading to a nitrogen plant uptake

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capacity even lower than for M- (Figure 2B).43

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The PCA score-plot of Figure 2C highlighted that AMF inoculation significantly influenced

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the metabolome of maize caryopses. In fact, M+ samples exhibited a larger concentration of sucrose

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and glucose, accompanied by a lower amount of citric acid, succinate, alanine and proline\glutamate

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(Figure S1C of the Supporting Information). Assuming that also the plant roots of M- treatment were

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likely associated with autochthonous mycorrhizal fungi, the addition of a commercial inoculum to

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M+ plants must have produced a more pronounced variation in the caryopsis metabolome. In

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particular, the larger abundance of glucose and sucrose observed in M+ suggests a more efficient

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production and translocation of carbohydrates to seeds. In fact, mycorrizal association elicits the

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expansion of surface, volume, and roots number, with a consequent enhancement of plant uptake of

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water and nutrients,

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relatively lower levels of glucose and sucrose in seeds from AMF inoculated plants, which were

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accompanied by a larger amount of metabolites related to aerobic glycolysis, such as succinate and

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citrate. In addition, the larger abundance of several amino acids in M- caryopses also suggests an

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increased biosynthesis of glycolytic enzymes associated with an increase in respiration and due to a

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larger availability of nitrogen in M- treatment.42-44

5, 12

and improvement of plant productivity. This explanation agrees with the

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The effects of the synergy of compost with AFM inoculation (COM+) are worth noting due

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to its environmental relevance. We report in Figure 3 three PCA score-plots, that differentiate the

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metabolome of the COM+ treatment from those of COM (Figure 3A), M- (Figure 3B) and M+

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(Figure 3C). Each score-plot shows the direction assumed by the most relevant loading vectors

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(variables) which are responsible for the differentiation among treatments (Figures S2A, B and C of

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the Supporting Information, respectively).The PCA score-plot in Figure 3A was built on the

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combination of PC3 and PC4 (16.9% of total explained variance) and revealed that the addition of 12


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compost with or without AMF inoculation brought to a different metabolomic response in maize

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caryopses. In fact, except for the two COM samples associated to negative values of PC3 and PC4

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(placed in the 3rd quadrant), the differentiation occurred prevalently along the PC3 and was due to a

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lower amount of glucose in COM, accompanied by a larger amount of phenylalanine (Figure S2A of

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the Supporting Information). The abundance of glucose in seeds may be related to a more efficient

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photosynthetic activity in plants under the COM+ treatment. This agrees with previous works that

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showed that compost may support and promote AMF action, that, in turn, favors plant

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photosynthesis.45-46

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The comparison between COM+ and M- treatments is shown in the PCA score-plot of Figure

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3B. In this case, only the abundance of citric acid (associated to positive PC3) enabled to

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significantly differentiate the metabolome of COM+ caryopses from that of control (Figure S2B of

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the Supporting Information). The excess of citric acid in M- samples, as already shown to be

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responsible for the differentiation between M- and COM (Figure 2B), may be accounted to an

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enhanced glycolytic process. Figure 3C reports the PCA score-plot of caryopses collected from

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maize plants that were subjected to AMF inoculation either with (COM+) or without (M+) compost

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fertilization. The combination of PC2 vs PC4 (20.8% of total explained variance) distinguished the

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two treatments along the direction intersecting the 2nd and 4th quadrant of the score-plot. In

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particular, COM+ caryopses were differentiated due to a larger content of citric acid, proline\

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glutamate, alanine and leucine, and a smaller concentration of sucrose, than for M+ (Figure S2C of

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the Supporting Information). Contrary to the observation that sucrose and glucose were more

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abundant in M+ than in M- samples (Figure 2C), no significant difference in glucose content was

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found between M+ and COM+ caryopses (Figure 3C), although sucrose was very abundant in M+

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seeds. On the other hand, the excess of several amino acids in COM+ samples (Figure 3C) can be

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explained by a larger nitrogen availability due to compost amendment, that served not only as N

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source, but also promoted a beneficial AMF action. 13



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A PCA was also performed on HRMAS spectral data of seeds from maize plants which had

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been amended with the mineral fertilizer either with (MIN+) or without (MIN) AMF inoculation

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(Figure S3 of the Supporting Information). In this case, neither the score-plot resulting from the

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combination of PC1 and PC2 (Figure S3 of the Supporting Information, 49% total variance

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explained), nor other possible score-plots exploiting the remaining PCs (data not shown), led to a

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neat differentiation between MIN and MIN+ caryopses. This suggests that the effect exerted on seeds

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metabolome by the mineral fertilizer was predominant, thus limiting significantly the AMF

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inoculation.

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Magnetic Resonance Imaging. MRI is a non-invasive NMR spectroscopy technique capable

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to provide morphological and anatomical details of intact maize caryopses, and indirectly reveal

320

possible effects of field treatments on plant and seed metabolism.

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images of a intact M- maize caryopsis acquired by applying the MSME pulse sequence at a minimal

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spin-echo time (10.57 ms, no T2-weighted). The sagittal slice positioned in the center of the seed

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allowed a neat differentiation among the main regions composing the internal structure of the

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caryopses, such as the protective pericarp, the embryo region (including the embryonic radicle, the

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plumule and scutellum) and the endosperm (Figure 4A). The endosperm surrounded by the aleurone

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layer covers most of the seed volume and is divided into two compartments, referred to as vitreous

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endosperm (EV) and floury endosperm (EF), which have different composition, density and

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consistency. Typically, EV is rich in lipids and proteins (including zein) whereas starch, mainly

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composed by amylose and amylopectine, is predominant in EF. 48 However, the properties and extent

330

of separation of these two endosperm compartments depend strictly on the specific maize cultivar

331

and its quality.49 For example, in the case of the cultivar used here, EV and EF appeared neatly

332

separated from each other (Figure 4A), since EV is concentrated in the seed’s lower part near the 14


47

Figure 4 reports three MRI

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333

embryo region, whereas EF occupies most of upper seed volume and appears structurally more

334

heterogeneous.49 Two axial slices acquired at different positions of the maize seed (as indicated in

335

Figure 4A) show the core of EF (Figure 4B) and the homogeneous region of EV (Figure 4C).

336

Moreover, the internal structure of maize caryopses are reported in two video clips which display the

337

3D projection of seed (video clip 1 of the Supporting Information) and the bottom-up sequence of

338

axial slices (video clip 2 of the Supporting Information).

339

A coronal and central slice of a control caryopses is shown in Figure 5A, from which it can

340

be excluded the superimposition of the embryo region, thereby making both EF and EV regions more

341

clearly visible. Interestingly, the intrinsic properties of this maize caryopses enabled the systematic

342

isolation of EF and EV regions by acquiring T2-weighted (total spin-echo delay of 42.3 ms) (Figure

343

5B) and diffusion-weighted (gradient strength of 362.95 s mm-2) (Figure 5C) images, respectively. In

344

fact, EF and EV showed a neat difference in both T2 relaxation times and diffusivity, thus suggesting

345

that the detection of specific anatomical characteristics for each endosperm region may lead to a

346

more precise spin-density evaluation. In fact, we compared both conventional (no weighted) and T2-

347

weighted images in order to identify possible peculiar properties induced in maize seeds by the

348

applied field treatments. Although several differences in morphology were observed in several maize

349

seeds, we estimated that the variations could not be related to treatments, but rather to the natural

350

variability in maize seeds.

351

Nevertheless, several other NMR parameters, such as spin-lattice (T1), and spin-spin (T2)

352

relaxation times, and the apparent diffusion coefficients (Diff), were shown to reveal the spatial

353

distribution of the physical status of water in different seed compartments, thus providing detailed

354

and quantifiable information on seeds molecular arrangement.30,33,50 While relatively long T1 and T2

355

relaxation times are attributed to an intrinsic large molecular and structural flexibility in tissues, short

356

relaxation times are due to smaller tumbling rates of water molecules interacting with either

357

macromolecules or solid surfaces. On the other hand, Diff coefficients estimate the apparent 15



358

translational self-diffusion (conventionally referred to as ‘diffusion’) of water molecules into tissue

359

compartments, thus indirectly indicating the extent of free diffusion within the tissue matrix.

360

Consequently, Diff coefficients may be decreased if water molecules experience barriers to diffusion,

361

such as rigid tissue structures, interact with cell membranes, or diffuse within small-sized cells.

362

Alternatively, Diff values may be increased if water molecules move more freely into a less compact

363

endosperm (longer free diffusion distance). On these bases, differences in relaxation times and

364

diffusion coefficients measured by MRI are likely to reflect different composition, structure and

365

homogeneity of endosperm samples. In turn, these properties are a function of multiple treatment-

366

dependent factors, such as water/nutrients availability during seed development, extent of seed

367

maturation, compounds partition in the endosperm, distribution of starch and protein reserves for

368

germination.

369

The measurements of relaxation times and diffusion coefficients were conducted in 1 and 5

370

cm2 sized regions of interest (ROIs) selected in endosperms of maize caryopses (Figure S4 of the

371

Supporting Information). In all cases, three ROIs were used for both vitreous (V1, V2 and V10) and

372

floury (F1, F2 and F10) endosperms. The inclusion of one large ROI (V10 and F10, respectively) for

373

each endosperm compartment had the rationale to minimize possible site-specific artifacts resulting

374

from local non-homogeneities in smaller ROIs.

375

The PCA score-plot built up on MRI spectral measurements for the caryopses from the M-,

376

M+, MIN and COM treatments (Figure 6A) was obtained by combining the 1st and the 3rd principal

377

components (49.3 and 14.8 % of explained variance, respectively). A neat differentiation among M-,

378

COM, and M+ samples was observed from positive to negative values along the PC1, that

379

corresponded to the progressive decrease of T1-EF, T2-EF and Diff-EF values (Figure S5A of the

380

Supporting Information). While the caryopses from the MIN treatment could not be differentiated

381

from those of M- along the PC1, they resulted sufficiently separated along the PC3 due to larger and

382

smaller Diff-Ev and T1-EV values than for the M- treatment. The fact that the floury endosperm of M+ 16


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383

samples exhibited the shortest T1, T2 and smallest Diff values suggests a slower mobility of water

384

molecules in EF, that may be ascribed to a more rigid starchy structure than in caryopses of other

385

treatments. Conversely, although the MRI spectral measurements for the floury endosperm in MIN

386

samples were similar to those for the M- treatment, the vitreous endosperm of maize seeds from the

387

treatment with mineral fertilization provided larger Diff-EV and smaller T1-EV values than for the M-

388

caryopses. This finding related to the MIN treatment may be then explained with a larger molecular

389

rigidity of EV (short T1) compartment and a larger presence of water molecules (high Diff) than for

390

the M- treatment.

391

The PCA score-plot related to maize seeds from compost-treated plants is reported in Figure

392

6B, as based on PC1 and PC2 (39.7 and 22.9 % of variance, respectively). This score-plot revealed a

393

neat horizontal differentiation between COM, COM+ and M- seeds along the PC1 especially due to

394

the characteristics of vitreous endosperm. Moreover, while both COM and COM+ samples provided

395

larger values of Diff-Ev and T1-EV and T2-EV than for M-, the relaxation times and diffusion

396

coefficients were even larger for the caryopses from maize plants which received the combined

397

addition of compost and AMF (COM+) (Figure S5B of the Supporting Information). Conversely, M-

398

seeds revealed the largest diffusion coefficients in the floury endosperm, in line with what is shown

399

in Figure 6A. Also a general separation between COM and COM+ along the PC2 was due to

400

differences in T1-EF values. The MRI spectral measurements thus indicate that field treatments with

401

compost had a significant effect not only on the composition (Figure 3) but also on the

402

morphological structure of caryopses, and this was magnified by the mycorrizal inoculation.

403

The PCA score-plot for the comparison of MRI data between MIN and MIN+ field treatments

404

and those of M- control is shown in Figure 6C. The difference between the two MIN treatments and

405

control was evident along PC1 (33.38% of explained variance), although no differentiation was

406

possible between MIN+ and MIN samples, as already noted from HRMAS spectral results (Figure

407

S3 of the Supporting Information). In line with a previous score-plot (Figure 6A), the difference in 17



408

caryopses from plants treated with mineral fertilizers from those of control was represented by both

409

larger Diff-Ev and smaller T1-EV values for MIN treatments (Figure S5C of the Supporting

410

Information). Interestingly, on the basis of HRMAS results, which differentiated MIN from M-

411

samples because of a larger amount of several free amino acids (Figure 2), such a different response

412

in MIN and MIN+ samples may be ascribed to a different proteins/amino acids ratio in vitreous

413

endosperm, that is likely dependent on the different N-availability .

414

In this work we showed that both HRMAS-NMR and MRI spectroscopies enabled the

415

differentiation, respectively, of the molecular composition and morphological structure of caryopses

416

from maize plants, which were treated with either mineral or compost fertilization, as well as with

417

the inoculation by mycorrhizal fungi.

418

1

H HRMAS spectra provided the metabolomic profile of caryopses, whose spectral features

419

enabled the elaboration of PCA and the identification of the metabolite related to the specific field

420

treatments. Concomitantly, the adopted pulse techniques of MRI spectroscopy revealed the

421

morphological and anatomical images of intact maize caryopses. Although no significant differences

422

were found in seeds morphology, the relaxation times (T1, T2) and the diffusion coefficients (Diff)

423

measured by MRI suggested that the physical status of water in the endosperm compartments of

424

seeds were systematically related to the field treatments undergone by the corresponding maize

425

plants. The spectral information on maize obtained here by both HRMAS and MRI spectroscopies

426

were particularly relevant since they relied on samples from a statistically significant experimental

427

design at field level.

428

Our results indicate that the applied NMR techniques can be used to evaluate the molecular

429

composition and structural properties of seeds from maize plants that are subjected to different field

430

management practices. This may be of importance in the increasing quest for food security that

431

requires an objective assessment of the quality of products of sustainable agricultural practices.

18


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432

433

■ ASSOCIATED CONTENT

434

*S Supporting Information

435

The Supporting Information is available free of charge on the ACS Publications website at DOI:…

436

Supporting information includes a supplementary PCA score-plot evaluating MIN vs MIN+

437

treatments, the most significant loading vectors associated to PCA score-plots shown in Figures 2, 3

438

and 6, the representative location of MRI ROIs, two video clips showing the MRI-detected internal

439

structure of a representative maize seed.

440

441

442

443

444

■ AUTHOR INFORMATION

445

* Corresponding Authors

446

Pierluigi Mazzei: Centro Interdipartimentale per la Risonanza Magnetica Nucleare per l’Ambiente,

447

l’Agro-Alimentare ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Via

448

Università 100, 80055 Portici, Italy.E-mail: [email protected]. Phone:39-081-2539448.

449

ORCID (ID)

450

Pierluigi Mazzei: 0000-0002-5312-4969

451

19



452

Alessandro Piccolo:

Centro Interdipartimentale per la Risonanza Magnetica Nucleare per

453

l’Ambiente, l’Agro-Alimentare ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II,

454

Via Università 100,80055 Portici, Italy. E-mail: [email protected]. Phone:39-081-

455

2539160

456

Notes

457

The authors declare no competing financial interest.

458

459

■ ACKNOWLEDGEMENTS

460

This work was supported by a project within the 2010 “FARO” program of the University of Naples

461

Federico II.

462

20


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647 648

Figures Captions

649 650 651 652

Figure 1. 1H HRMAS CPMG NMR spectrum of maize seed (M- sample). The proton spectral regions confined within the two grey rectangles (1 and 2) have been magnified on top sides of the figure. The labels indicate assignment of the most intense signals detected in all spectra. (F, Fructose; G, Glucose; LA, Lactic Acid; S, Sucrose; UMP, Uridinmonophosphate; UDP, Uridindiphosphate).

653 654 655 656 657 658 659

Figure 2. Principal Component Analysis score-plots (A, B, and C) of data obtained from 1H CPMG HRMAS spectra of maize seeds deriving from different treatments (M-, no fertilization; MIN, Mineral fertilization, 250 kg ha-1 of N as urea, 150 kg ha-1 of P2O5 as Ca(H2PO4)2 and 160 kg ha-1 of K as K2SO4; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each score-plot includes the name and the indicative direction assumed (Figure S1 in Supporting Information) by the most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments.

660 661 662 663 664 665

Figure 3. Principal Component Analysis score-plots (A, B, and C) of data obtained from 1H CPMG HRMAS spectra of maize seeds deriving from different treatments (M-, no fertilization; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each scoreplot includes the name and the indicative direction assumed (Figure S2 in Supporting Information) by the most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments.

666 667 668

Figure 4. Sagittal (A) and axial (B and C) MRI images of an integer M- maize caryopsis obtained by using the pulse sequence MSME at a total spin-echo time of 10.57 ms. The axial Figures refer to the slices indicated by rectangles (A) and highlight the floury (B) and vitreous (C) endosperm regions.

669 670 671 672

Figure 5. Coronal MRI images of an integer M- maize caryopsis obtained by using the pulse sequence MSME (A and B) and the Diffusion sequence integrated with stimulated echoes (C, gradient strength of 362.9 s mm-2). MSME experiments were set with two total spin-echo times: 10.57 ms (A, No T2-weighted) and 42.3 ms (B, T2- weighted).

673 674 675 676 677 678 679 680

Figure 6. Principal Component Analysis score-plots (A, B, and C) based on MRI parameters (T1, T2, Diff) calculated for vitreous (EV) and floury (EF) endosperm of intact maize caryopses deriving from different treatments (M-, no fertilization; MIN, Mineral fertilization, 250 kg ha-1 of N as urea, 150 kg ha-1 of P2O5 as Ca(H2PO4)2 and 160 kg ha-1 of K as K2SO4; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each score-plot includes the name and the indicative direction assumed (Figure S5 in Supporting Information) by the of most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments.

681 25



Figure 1. 1H HRMAS CPMG NMR spectrum of maize seed (M- sample). The proton spectral regions confined within the two grey rectangles (1 and 2) have been magnified on top sides of the figure. The labels indicate assignment of the most intense signals detected in all spectra. (F, Fructose; G, Glucose; LA, Lactic Acid; S, Sucrose; UMP, Uridinmonophosphate; UDP, Uridindiphosphate). 500x300mm (96 x 96 DPI)


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Figure 2. Principal Component Analysis score-plots (A, B, and C) of data obtained from 1H CPMG HRMAS spectra of maize seeds deriving from different treatments (M-, no fertilization; MIN, Mineral fertilization, 250 kg ha-1 of N as urea, 150 kg ha-1 of P2O5 as Ca(H2PO4)2 and 160 kg ha-1 of K as K2SO4; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each score-plot includes the name and the indicative direction assumed (Figure S1 in Supporting Information) by the most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments. 230x664mm (96 x 96 DPI)



Figure 3. Principal Component Analysis score-plots (A, B, and C) of data obtained from 1H CPMG HRMAS spectra of maize seeds deriving from different treatments (M-, no fertilization; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each score-plot includes the name and the indicative direction assumed (Figure S2 in Supporting Information) by the most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments. 254x665mm (96 x 96 DPI)


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Figure 4. Sagittal (A) and axial (B and C) MRI images of an integer M- maize caryopsis obtained by using the pulse sequence MSME at a total spin-echo time of 10.57 ms. The axial Figures refer to the slices indicated by rectangles (A) and highlight the floury (B) and vitreous (C) endosperm regions. 289x209mm (96 x 96 DPI)



Figure 5. Coronal MRI images of an integer M- maize caryopsis obtained by using the pulse sequence MSME (A and B) and the Diffusion sequence integrated with stimulated echoes (C, gradient strength of 362.9 s mm-2). MSME experiments were set with two total spin-echo times: 10.57 ms (A, No T2-weighted) and 42.3 ms (B, T2- weighted). 289x209mm (96 x 96 DPI)


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Figure 6. Principal Component Analysis score-plots (A, B, and C) based on MRI parameters (T1, T2, Diff) calculated for vitreous (EV) and floury (EF) endosperm of intact maize caryopses deriving from different treatments (M-, no fertilization; MIN, Mineral fertilization, 250 kg ha-1 of N as urea, 150 kg ha-1 of P2O5 as Ca(H2PO4)2 and 160 kg ha-1 of K as K2SO4; COM, 15 t ha-1 compost fertilization; +, AFM inoculation, mix of R. irregularis and F. mosseae). Each score-plot includes the name and the indicative direction assumed (Figure S5 in Supporting Information) by the of most significant (ANOVA Tukey test, confidence level > 95%) loading vectors involved in the differentiation among treatments. 319x695mm (96 x 96 DPI)



Graphical abstract 84x47mm (96 x 96 DPI)


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Research Article HRMAS NMR and MRI ... - ACS Publications

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