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. 2022 Sep 20;11(19):2455. doi: 10.3390/plants11192455

Proteomic Changes in Paspalum fasciculatum Leaves Exposed to Cd Stress

Manuel Salas-Moreno 1,2, María Ángeles Castillejo 3, Erika Rodríguez-Cavallo 2, José Marrugo-Negrete 4,*, Darío Méndez-Cuadro 2,*, Jesús Jorrín-Novo 3
Editors: Akash Tariq, Jordi Sardans, Fanjiang Zeng, Josep Peñuelas
PMCID: PMC9573290  PMID: 36235321

Abstract

(1) Background: Cadmium is a toxic heavy metal that is widely distributed in water, soil, and air. It is present in agrochemicals, wastewater, battery waste, and volcanic eruptions. Thus, it can be absorbed by plants and enter the trophic chain. P. fasciculatum is a plant with phytoremediation capacity that can tolerate Cd stress, but changes in its proteome related to this tolerance have not yet been identified. (2) Methods: We conducted a quantitative analysis of the proteins present in P. fasciculatum leaves cultivated under greenhouse conditions in mining soils doped with 0 mg kg−1 (control), 30 mg kg−1, or 50 mg kg−1. This was carried out using the label-free shotgun proteomics technique. In this way, we determined the changes in the proteomes of the leaves of these plants, which allowed us to propose some tolerance mechanisms involved in the response to Cd stress. (3) Results: In total, 329 variable proteins were identified between treatments, which were classified into those associated with carbohydrate and energy metabolism; photosynthesis; structure, transport, and metabolism of proteins; antioxidant stress and defense; RNA and DNA processing; and signal transduction. (4) Conclusions: Based on changes in the differences in the leaf protein profiles between treatments, we hypothesize that some proteins associated with signal transduction (Ras-related protein RABA1e), HSPs (heat shock cognate 70 kDa protein 2), growth (actin-7), and cellular development (actin-1) are part of the tolerance response to Cd stress.

Keywords: Paspalum fasciculatum, Cd stress, changes in the proteome, downregulated, upregulated

1. Introduction

Cadmium (Cd) is a non-essential element that is toxic to living organisms. It is fatal at doses of 1500 to 8900 mg. It is widely distributed in various environmental matrices, and is emitted by internal combustion vehicles and friction elements such as brakes and tires [1,2,3]. Cd is also present in the soil due to the excessive use of agrochemicals in agriculture, wastewater, volcanic eruptions, battery waste, and acid rain. In this way, it can be absorbed by plants and, consequently, enter the trophic chain. Cd uptake can cause physiological changes in plant growth, biomass accumulation, photosynthesis, water absorption, nutrients, and cell transport, and can lead to redox control activity disorders and cell death [4,5,6,7].

However, some plants can grow under this abiotic stress, as they are able to absorb and tolerate the presence of heavy metals such as Cd in their tissues at levels that would be toxic to other plants. These plants are called phytoremediators, and they are used to remove metals from contaminated soils.

To resist toxic effects, phytoremediation plants must make adjustments to their proteomes that involve changes at the molecular signaling and gene expression regulation levels. In general, changes in the plant proteome begin with the molecular perception of stress, followed by the activation of signal transduction and the expression of a great variety of genes induced by stress [8,9,10]. At the protein level, the overproduction of heat shock proteins (HSPs) occurs during abiotic stress, as they act as chaperones, protecting proteins that have lost their native conformation or have been misfolded during a stress event, and helping to eliminate and degrade the non-corrected proteins [11,12,13].

Another effect of Cd stress occurs through the production of reactive oxygen species (ROS), which cause damage to proteins and other biomolecules, such as lipids and DNA. In response to an increase in ROS, the overproduction of catalase, ascorbate peroxidase, superoxide dismutase, peroxidase, or compounds such as ascorbate and glutathione is frequently observed at the tissular level [14,15,16,17].

The changes in protein abundance under metal stress conditions should be determined to characterize specific adaptive responses in phytoremediator plants. Different quantitative and qualitative proteomics techniques have been used alone or in combination to elucidate the effects of Cd stress in different plant species, e.g., Microsorum pteropus [15], Brachypodium distachyon [3], Arabidopsis thaliana [18], Oryza sativa [19,20], Populus yunnanensis [21], Brassica juncea [22], Brassica napus [23], and Triticum aestivum L. [24].

In particular, we focus on Paspalum fasciculatum Willd. Ex. Flüggé—a plant of the Poaceae family that is widely distributed in tropical and subtropical ecosystems, and can grow in mining soils with high levels of contamination by the heavy metals Cd and Pb thanks to its phytoremediation and phytoextraction characteristics [25]. Similar to other plants, it also exhibits an antioxidant response, limiting the oxidative damage to its proteome promoted by these metals [26].

In order to contribute to the elucidation of the mechanisms of Cd toxicity tolerance, we conducted a shotgun (LC–MS/MS) proteomics analysis to study changes in the leaf proteome of P. fasciculatum Willd. Ex. Fluggé plants grown under greenhouse conditions in mining soils doped with this heavy metal.

2. Results

The physical and chemical characteristics of the soil samples, the concentration of Cd in the tissues, and the growth behavior of P. fasciculatum were established in a previous work [26]. The concentrations in the leaves of the plants ranged from 4.2 to 55.72 mg kg−1, and were measured over periods of 30, 60, and 90 days. The roots showed three times higher concentrations of Cd than the other organs (66.08 to 367.98 mg kg−1), clearly showing that they represent the mechanism by which exclusion of heavy metals is carried out.

Additionally, a higher growth rate was observed in the plants that underwent treatments TC30 (30 mg kg−1 Cd) and TC50 (50 mg kg−1 Cd) with respect to the control group (p ≤ 0.05) in the first 60 days. Due to this behavior, the 60-day-old plants were selected for the proteomics analysis, and the results obtained are shown.

2.1. Quantitative Analysis of Proteins in P. fasciculatum Leaves Exposed to Cd Stress

The proteins extracted from P. fasciculatum leaves subjected to treatments TC30, TC50, and TC (control) were subjected to a quantitative proteomics analysis using label-free liquid chromatography–tandem mass spectrometry (LC–MS/MS) shotgun proteomics (Table 1). The raw mass spectral data were analyzed using the SEQUEST search engine. A total of 1227 proteins was identified, of which 329 met the parameters and inclusion criteria for the quantitative analysis (i.e., high confidence for the identification of peptides, XCorr ≥ 2, and at least two different peptides per protein). In TC30, 175 proteins were differentially abundant compared with the control—77 were upregulated, while 98 were downregulated—whereas in TC50, 74 were upregulated, and 143 were downregulated (Supplementary Table S1). However, only 90 of these proteins showed statistically significant differences (p ≤ 0.05), and 46 proteins showed the same behavior in both treatments (Table 2).

Table 1.

Protein yield from Paspalum fasciculatum leaves exposed to Cd stress for 60 days (n = 3).

Treatments Fresh Weight of Protein (mg g−1) ± SD
TC 1 2.23 ± 0.2
TC30 2 2.43 ± 0.60
TC50 3 2.54 ± 0.35

1 TC: control, 2 TC30: 30 mg kg−1, 3 TC50: 50 mg kg−1.

Table 2.

Proteins identified in Paspalum fasciculatum leaves after 60 days of exposure to 30 and 50 mg kg−1 Cd.

No. Accession 1 Protein Name MW (kDa) 2 Coverage 3 Source Fold Change 4
TC30/TC TC50/TC
Subcellular 5
Localization
Photosynthesis
1 B1NWD5 ATP synthase subunit alpha 55.564 29,7830374 Manihot esculenta 0.4 −7.9 Chloroplast
2 P04782 Chlorophyll a–b binding protein 25 28.149 28.1954887 Petunia sp. −8.3 −8.3 Chloroplast
3 P12332 Chlorophyll a–b binding protein (fragment) 22.029 19.0243902 Silene latifolia subsp. alba −9.1 −9.1 Chloroplast
4 P15194 Chlorophyll a–b binding protein type 2 member 1B 29.014 31.3868613 Pinus sylvestris −12.2 −12.2 Chloroplast
5 P12328 Chlorophyll a–b binding protein of LHCII type I 28.359 15.1515152 Lemna gibba −12.5 −12.5 Chloroplast
6 A1E9K3 Cytochrome f 35.341 49.0625 Hordeum vulgare −5.9 −5.9 Chloroplast
7 P69390 Cytochrome b559 subunit alpha 9.439 39.7590361 Hordeum vulgare −3.9 −2.6 Chloroplast
8 O64422 Fructose-1,6-bisphosphatase 43.577 26.8472906 Oryza sativa subsp. japonica −0.3 −1.9 Chloroplast
9 Q01516 Fructose-bisphosphate aldolase 1 (fragment) 38.633 15.7303370 Pisum sativum −4.2 −4.2 Chloroplast
10 P17606 Malate dehydrogenase (NADP) 1 46.426 17.4825174 Sorghum bicolor 0.1 −8.1 Chloroplast
11 B3TNA5 NAD(P)H-quinone oxidoreductase subunit H 45.795 30.2798982 Brachypodium distachyon −7.4 −7.4 Chloroplast
12 P46722 NAD(P)H-quinone oxidoreductase subunit I 21.143 51.1111111 Zea mays −10.0 −10.0 Chloroplast
13 O49079 Oxygen-evolving enhancer protein 1 34.848 21.8844984 Fritillaria agrestis −0.3 −1.6 Chloroplast
14 Q09ME8 Photosystem II reaction center protein H 7.664 23.2876712 Citrus sinensis −9.4 −9.4 Chloroplast
15 Q40073 Ribulose bisphosphate carboxylase/oxygenase activase A 51.041 20.4741379 Hordeum vulgare −0.5 −1.5 Chloroplast
16 Q37227 Ribulose bisphosphate carboxylase large chain (fragment) 49.103 28.8939051 Iris germanica −7.2 −7.2 Chloroplast
17 O23813 Sulfite reductase (ferredoxin) 69.971 19.0551181 Zea mays −4.3 −12.5 Chloroplast
18 Q0P3P2 ATP synthase subunit beta 51.83 21.9461697 Ostreococcus tauri 0.3 3.5 Chloroplast
19 P55240 Glucose-1-phosphate adenylyltransferase small subunit (fragment) 13.238 20 Zea mays 0 8.1 Chloroplast, Amyloplast
20 Q9SQL2 Chlorophyll a–b binding protein P4 27.212 18.2539683 Pisum sativum 10.7 2.5 Chloroplast
21 Q9LD57 Phosphoglycerate kinase 1 50.081 25.3638253 Arabidopsis thaliana 0 12.0 Chloroplast
22 A6YGB8 Photosystem II protein D1 38.125 18.3139535 Pleurastrum terricola 14.0 13.9 Chloroplast
23 P08927 RuBisCO large subunit-binding protein subunit beta 62.945 21.3445378 Pisum sativum 2.7 7.3 Chloroplast
Protein metabolism
24 O81154 Cysteine synthase 34.32 19.3846154 Solanum tuberosum −7.2 −7.2 Cytoplasm
25 Q9LST6 Proteasome subunit beta type-2 23.463 19.8113207 Oryza sativa subsp. japonica −5.7 −5.7 Nucleus, cytoplasm
26 A2YXU2 Proteasome subunit alpha type-7-A 27.279 35.3413655 Oryza sativa subsp. indica −7.3 0.7 Nucleus, cytoplasm
27 A1E9M6 30S ribosomal protein S8 15.7 19.1176470 Hordeum vulgare −7.4 −7.4 Chloroplast
28 P51427 40S ribosomal protein S5-2 22.907 25.6038647 Arabidopsis thaliana −10.4 −10.4 Cell Wall, cytosol, plasma membrane, ribosomes
29 Q949H0 40S ribosomal protein S7 22.064 16.7539267 Hordeum vulgare −8.3 −8.3 Ribosome
30 P0DKK8 40S ribosomal protein S10-1 20.25 22.4043715 Oryza sativa subsp. japonica −0.9 −8.6 Cytoplasm
31 P17093 40S ribosomal protein S11 17.822 16.9811321 Glycine max −6.8 −6.8 Cytosol
32 B7F845 60S ribosomal protein L10a 24.467 20.8333333 Oryza sativa subsp. japonica −8.1 −8.1 Cytosol
33 P42794 60S ribosomal protein L11-2 20.848 17.5824175 Arabidopsis thaliana −7.3 −7.3 Nucleus, cytoplasm
34 O48557 60S ribosomal protein L17 19.494 31.5789473 Zea mays −6.4 −6.4 Cytosol
35 P49690 60S ribosomal protein L23 15.017 48.5714285 Arabidopsis thaliana −2.1 −9.5 Cytosol, endoplasmic reticulum, extracellular region or secreted, nucleus
36 P43643 Elongation factor 1-alpha 49.251 27.0693512 Nicotiana tabacum 1.5 −8.3 Cytoplasm
37 Q6EN80 30S ribosomal protein S19. 10.689 19.3548387 Oryza nivara −0.2 1.7 Chloroplast
38 P50300 S-adenosylmethionine synthase 43.141 16.2849872 Pinus banksiana 10.1 10.0 Cytoplasm
Carbohydrate and energy metabolism
39 P12863 Triosephosphate isomerase 27.008 38.3399209 Zea mays −1.5 −1.2 Cytoplasm
40 P92549 ATP synthase subunit alpha 55.011 26.035503 Arabidopsis thaliana 0.8 −9.6 Mitochondrion
41 P00056 Cytochrome c 12.005 39.6396396 Zea mays 1.0 −9.8 Mitochondrion
42 P42895 Enolase 2 48.132 45.0672646 Zea mays −6.4 −6.4 Cytoplasm
43 Q6XZ79 Fructokinase-1 34.669 26.0061919 Zea mays −2.1 0.2 Cytosol
44 P26518 Glyceraldehyde-3-phosphate dehydrogenase 36.959 20.5278592 Magnolia liliiflora 1.4 −8.5 Cytoplasm
45 P26517 Glyceraldehyde-3-phosphate dehydrogenase 1 36.491 44.2136499 Hordeum vulgare −10.7 −10.7 Cytoplasm
46 Q09054 Glyceraldehyde-3-phosphate dehydrogenase 2 36.519 39.7626112 Zea mays 1.2 −8.1 Cytoplasm
47 P93805 Phosphoglucomutase, cytoplasmic 2 63.002 39.4511149 Zea mays −0.3 −1.6 Cytoplasm
48 O24047 Malate dehydrogenase 35.475 25.6024096 Mesembryanthemum crystallinum −7.7 −7.7 Cytoplasm
49 Q9ZP06 Malate dehydrogenase 1. 35.782 18.4750733 Arabidopsis thaliana −8.4 −8.4 Mitochondrion
50 P80269 NADH dehydrogenase (ubiquinone) iron–sulfur protein 8. 26.361 23.1441048 Solanum tuberosum −8.8 −8.8 Mitochondrion
51 P42066 Phosphoenolpyruvate carboxykinase (ATP) 74.35 23.2835820 Cucumis sativus 0.8 −2.0 Cytoplasm
52 Q9XFA2 Phosphoenolpyruvate carboxykinase (ATP) 2 68.59 22.5239617 Urochloa panicoides −0.7 −9.4 Cytoplasm
53 Q6YZX6 Putative aconitate hydratase 98.021 15.0334075 Oryza sativa subsp. japonica 1.5 −6.4 Cytoplasm
54 Q6ZFT5 Ribose-phosphate pyrophosphokinase 4 36.126 17.8461538 Oryza sativa subsp. japonica 1.1 −6.6 Cytosol, plasma membrane, cytoplasm,
55 Q42971 Enolase 47.942 39.6860986 Oryza sativa subsp. japonica 1.5 0 Cytoplasm
56 Q6AVT2 Glucose-1-phosphate adenylyltransferase large subunit 1 55.392 17.4168297 Oryza sativa subsp. japonica 1.1 −8.3 Chloroplast, amyloplast
57 Q6Z1G7 Pyruvate dehydrogenase E1 component subunit beta-1 39.919 15.2406417 Oryza sativa subsp. japonic 8.9 0 Mitochondrion
Antioxidant defense and stress response
58 P38559 Glutamine synthetase root isozyme 1 39.226 24.6498599 Zea mays −6.7 −6.7 Cytoplasm
59 O23877 Ferredoxin-NADP reductase, embryo isozyme 41.788 16.9312169 Oryza sativa subsp. japonica 0.3 −7.7 Chloroplast
60 Q6QPJ6 Peroxiredoxin Q 23.402 22.5352112 Populus jackii −7.4 −7.4 Chloroplast
61 Q69SV0 Probable L-ascorbate peroxidase 8 51.156 19.2468619 Oryza sativa subsp. japonica −0.3 −8.3 Chloroplast
62 Q02028 Stromal 70 kDa heat-shock-related protein. 75.469 24.5042493 Pisum sativum 1.5 −9.0 Chloroplast
63 Q6ZFU6 Thioredoxin reductase NTRB 34.655 17.2205438 Oryza sativa subsp. japonica 0.6 −8.0 Cytoplasm
64 Q9BAE0 ATP-dependent zinc metalloprotease FTSH 75.633 19.8300283 Medicago sativa 7.8 8.2 Chloroplast
65 P14655 Glutamine synthetase 46.613 18.6915888 Oryza sativa subsp. japonica 7.8 0 Chloroplast
66 Q01899 Heat shock 70 kDa protein 72.493 15.7037037 Phaseolus vulgaris 1.9 −9.6 Mitochondrion
67 P27322 Heat shock cognate 70 kDa protein 2 70.663 30.7453416 Solanum lycopersicum 9.5 8.4 Cytoplasm
68 Q08275 17.0 kDa class II heat shock protein 17.036 18.1818181 Zea mays 1.8 2.3 Cytoplasm
69 P27880 18.2 kDa class I heat shock protein 18.154 19.6202531 Medicago sativa 6.6 0 Cytoplasm
70 A5H8G4 Peroxidase 1 38.33 17.7111717 Zea mays 2.2 2.4 Vacuoles
71 Q9SMB1 Spermidine synthase 1 35.124 15.7894737 Oryza sativa subsp. japonica 1.8 1.3
Proteins involved in RNA and DNA Processing
72 O48556 Soluble inorganic pyrophosphatase 24.354 30.3738318 Zea mays −7.7 0.3 Cytoplasm
73 Q99070 Glycine-rich RNA-binding protein 2 16.35 23.8095238 Sorghum bicolor 1.4 2.2
Proteins involved in Growth, Development and Cellular Organization
74 P20904 Actin 41.732 28.3819629 Volvox carteri 1.4 3.0 Cytoskeleton
75 P02582 Actin-1 41.591 20.2666667 Zea mays 8.4 9.2 Cytoskeleton
76 Q9AY76 Actin-depolymerizing factor 2 16.783 22.7586206 Oryza sativa subsp. japonica 4.3 0 Cytoskeleton, Cytoplasm
77 Q41764 Actin-depolymerizing factor 3 15.89 18.7050359 Zea mays 0 8.3 Cytoplasm
78 P53492 Actin-7 41.709 44.0318302 Arabidopsis thaliana 1.5 7.6 Cytoskeleton
79 Q41738 Thiamine thiazole synthase 1 37.081 19.7740113 Zea mays −0.5 1.7 Chloroplast
Signal Transduction
80 Q9SP07 14-3-3-Like protein 29.235 39.7683398 Lilium longiflorum 0.1 2.1
81 Q7XTE8 14-3-3-Like protein GF14-B 29.845 64.5038167 Oryza sativa subsp. japonica 1.0 2.2 Nucleus, cytoplasm
82 Q2R2W2 14-3-3-Like protein GF14-D 29.244 39.6226415 Oryza sativa subsp. japonica 2.7 2.4
83 P49104 Ras-related protein Rab-2-B 23.046 35.7142857 Zea mays 6.4 7.3 Golgi apparatus, endoplasmic reticulum
84 P28186 Ras-related protein RABE1c 23.82 22.2222222 Arabidopsis thaliana −7.2 1.6 Plasma membrane, Golgi apparatus
85 O49513 Ras-related protein RABA1e 24.315 23.0414747 Arabidopsis thaliana 8.6 7.6 Plasma membrane
86 O24461 Ras-related protein Rab7 23.212 19.8067632 Prunus armeniaca 0 6.3 Plasma membrane
Membrane transport and cell wall metabolism
87 P27080 ADP, ATP carrier protein 33.506 19.4805194 Chlamydomonas reinhardtii 0 6.0
88 P27081 ADP/ATP carrier protein, mitochondrial (fragment) 41.802 17.8756477 Solanum tuberosum 0 7.4 Mitochondrion
89 P29036 Ferritin-1 28.007 18.1102362 Zea mays 1.7 0.4 Chloroplast, plastid
90 Q05737 GTP-binding protein YPTM2 22.461 46.7980296 Zea mays 6.2 7.5 Plasma membrane

1 Accession: accession number in the NCBI database. 2 MW (kDa): molecular weight of the protein. 3 Coverage: percentage of the protein sequence covered by the peptides. 4 Fold Change: a measure that describes the degree of protein change between treatments (TC50 and TC30) and the control. Only proteins with more/less than a 1.5-fold change in the abundance level or a significant difference (p < 0.05) were chosen. Shaded proteins showed the greatest changes in abundance (at least one treatment): down (grey) and up (green) 5 Subcellular Localization: the localization of the protein in a cell.

The proteins involved in the processes of photosynthesis and energy metabolism were the most commonly downregulated by Cd stress. On the other hand, proteins with molecular functions such as heat shock, antioxidant activity, stress response, transduction signals, and cell development and growth were the most frequently upregulated (Table 2). This can explain the tolerance of these plants and the significant biomass accumulated in comparison to the controls.

2.2. Functional Classification of Proteins

Proteins with significant changes in accumulation (Figure 1) were classified into eight main groups: (i) proteins involved in carbohydrate and energy metabolism (80); (ii) proteins involved in photosynthesis (71); (iii) proteins involved in protein structure, transport, and metabolism; (iv) proteins involved in antioxidant defense and stress (56); (v) proteins involved in growth, development, and cellular organization (13); (vi) proteins involved in DNA and RNA processing (18); (vii) signal transduction proteins (14); and (viii) proteins with no known functions (5). The functions of the proteins involved in the tolerance mechanisms of P. fasciculatum are explained in greater detail in the Discussion.

Figure 1.

Figure 1

Functional classification of the proteins identified in P. fasciculatum leaves exposed to Cd stress for 60 days.

3. Discussion

The changes in the proteomes of plants with phytoremediation characteristics or tolerance to Cd stress have been the subject of many investigations, because knowledge in this area could contribute to the elucidation of the molecular resistance mechanisms selected in them [17,20,22,24]. P. fasciculatum is a plant with a Cd phytostabilization capacity. It could be a promising alternative for the removal of Cd from contaminated soils or areas degraded by mining. Therefore, we studied the changes in the proteome of P. fasciculatum leaves using label-free LC–MS/MS shotgun proteomics experiments, with the aim of delving into the metabolic pathways altered by the presence of Cd and describing, for the first time, the tolerance mechanisms that this phytoremediation species has developed in response to Cd stress.

To explain these tolerance mechanisms, we focused on the behaviors of the 90 proteins that showed statistically significant changes in abundance in P. fasciculatum leaves in the TC30 (30 mg kg−1 Cd) and TC50 (50 mg kg−1 Cd) treatment groups compared with the TC group (Table 2). These mechanisms included an increase in the abundance of proteins involved in the photosynthesis, energy metabolism, signal transduction, antioxidant defense, protein folding and degradation, and cellular growth and development pathways (Figure 2).

Figure 2.

Figure 2

Possible mechanisms of tolerance in response to Cd stress based on changes in the proteome in P. fasciculatum leaves after 60 days. RuBisCO LSU: ribulose bisphosphate carboxylase large chain; RuBisCO SUβ: RuBisCO large subunit-binding protein subunit beta; RuBisCO activase A: ribulose bisphosphate carboxylase/oxygenase activase A; LHCP-25: chlorophyll a–b binding protein 25; LHCP-2: chlorophyll a–b binding protein type 2 member 1B; LHCP-1: chlorophyll a–b binding protein of LHCII type I; LHCP4: chlorophyll a–b binding protein P4; MDHC: malate dehydrogenase; PCKA2: phosphoenolpyruvate carboxykinase (ATP) 2; PSII-H: photosystem II reaction center protein H; PSII D1: photosystem II protein D1; NADH subunit I: NAD(P)H-quinone oxidoreductase subunit I; GPASSU: glucose-1-phosphate adenylyltransferase small subunit; Cyt c: cytochrome c; ATPase α: ATP synthase subunit alpha; NADH-D8: NADH dehydrogenase (ubiquinone) iron–sulfur protein 8; PE Pyruvate: phosphoenolpyruvate; TPI: triosephosphate isomerase; FK1: fructokinase-1; GEPDH: glyceraldehyde-3-phosphate dehydrogenase 1; PGK1: phosphoglycerate kinase 1; ENO2: enolase 2; MD-1: malate dehydrogenase 1; Prx-1: peroxidase 1. HSP17.0: 17.0 kDa class II heat shock protein. HSP18.2: 18.2 kDa class I heat shock protein; HSP70: heat shock cognate 70 kDa protein; HSP70-2: heat shock cognate 70 kDa protein 2; HSP70S: stromal 70 kDa heat-shock-related protein; FtsH: ATP-dependent zinc metalloprotease, FtsH; Rab7: Ras-related protein Rab7; RABA1e: Ras-related protein RABA1e; Rab-2-B: Ras-related protein Rab-2-B; RABB1c: Ras-related protein RABB1c; 14-3-3: 14-3-3-like protein; 14-3-3-B: 14-3-3-like protein GF14-B; 14-3-3-D: 14-3-3-like protein GF14-D; CDPK: Ca2+- dependent protein kinase; TFs: transcription factors; PE Pyruvate: phosphoenolpyruvate; ZIP: zinc-regulated, iron-regulated transporter-like protein (ZIP). Red arrow = upregulation; blue arrow = downregulation; mRNA HS: mRNA of heat shock protein; mRNA MH: mRNA in response to heavy metals.

3.1. P. fasciculatum Overcomes the Deleterious Effects of Cadmium on Photosynthesis Proteins and Carbohydrate Energy Metabolism

At day 60, the proteins involved in photosynthesis were affected by Cd stress. Fifteen of these decreased in both exposed groups (TC30 and TC50), while another fifteen belonging to the carbohydrate and energy metabolism protein groups decreased in the TC50 group.

Photosynthesis is a vital process for plant growth and development that plays important roles in carbon fixation and energy metabolism [17]. In our study, photosynthesis proteins were highly affected. Seventeen proteins were downregulated and six were upregulated. One of the most abundant proteins in nature, which is vital for the photosynthesis process, is the enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit (RuBisCO LSU), as well as ribulose bisphosphate carboxylase/oxygenase activase A. These enzymes decreased by 7.2-fold (TC30 and TC50) and 1.5-fold (TC50), respectively.

RuBisCO participates in carbon dioxide (CO2) assimilation reactions in plants. It is a transketolase enzyme that catalyzes the first step of the Calvin cycle and the reaction that produces the CO2 acceptor molecule ribulose-1,5-bisphosphate (Figure 2) [27]. Similar studies carried out on plants, such as Phytolacca americana [7] and Spinacia oleracea L. [28], demonstrated that Cd inhibits the activity of RuBisCO. However, in young Theobroma cacao plants, Cd increased the abundance of RuBisCO by sevenfold compared to controls [11]. Therefore, these results show that Cd stress has significant adverse effects on the efficiency of carbon fixation, which could be related to chlorophyll damage [17]. In agreement with the above, four chlorophyll-binding proteins were downregulated in both treatments: the chlorophyll-binding protein ab 25 (8.3-fold), the chlorophyll-binding protein ab (fragment) (9.1-fold), the protein of chlorophyll ab type 2 member 1B binding (12.1-fold), and the chlorophyll ab binding protein of LHCII type I (12.5) (Figure 2). These are the Apo proteins of the light-capturing complex that capture and deliver excitation energy to photosystems I and II (PSI and PSII) [29].

Our results are similar to those produced by a study on Arabidopsis halleri, which demonstrated inhibited and decreased activity due to Cd stress in PS II and I [30]; however, in Cd-tolerant species such as P. yunnanensis [21] and Zygophyllum fabago L. [31], an increase in chlorophyll a–b binding protein has been observed. In PSI and PSII, chlorophyll a–b binding proteins are essential in the oxygenated photosynthesis processes; therefore, the downregulation of these proteins could significantly compromise oxygen production [32]. In addition, Cd can replace metal ions such as Fe2+, Ca2+, and Mn2+, which can affect the reaction center of PSII, altering the oxidant system of PSII water. In this way, electron transport can be uncoupled in chlorophyll, generating significant amounts of ROS, such as superoxide anions (O2•−) and hydrogen peroxide (H2O2) [33,34,35]. The adverse effects described for these photosynthesis proteins due to Cd stress are in accordance with the oxidative damage reported in RuBisCO LSU proteins and the chlorophyll a–b binding protein CP26 in the leaves of P. fasciculatum [26].

Despite the inhibitory effects on photosynthesis proteins, P. fasciculatum seedlings grew adequately, without showing any apparent toxic effects, such as necrosis or chlorosis. This indicates that the plant activates mechanisms that allow it to repair its photosynthetic structures and guarantee the energetic supply during exposure to Cd. In this sense, eight upregulated proteins were found in the P. fasciculatum leaves exposed to Cd. One of these—ATP synthase subunit beta (3.5-fold in TC50)—plays a role in the production of energy across the thylakoid membrane through the production of ATP using a proton gradient [36]. Glucose-1-phosphate adenylyltransferase small subunit (8.1-fold TC50), phosphoglycerate kinase 1 (12-fold TC50), and RuBisCO large subunit-binding protein subunit beta (2.7- and 7.3-fold in TC30 and TC50, respectively) are important enzymes involved in the Calvin cycle and carbohydrate biosynthesis. Other upregulated proteins were chlorophyll a–b binding protein P4 (10.7- and 2.5-fold in TC30 and TC50, respectively), photosystem II protein D1(PII-D1) (14- and 13.9-fold in TC30 and TC50, respectively), and ATP-dependent zinc metalloprotease FtsH (FstH) (7.8- and 8.2-fold in TC30 and TC50, respectively) (Figure 2). FstH plays an essential role in the formation of thylakoid membranes during the early development of chloroplasts, as well as controlling the quality of proteins during the photosynthesis process [37]. Therefore, the activity of this protein may be important for the development and maintenance of the functioning of chloroplasts, as well as in the repair or renewal of photosynthesis proteins affected by Cd stress. FtsH also participates in the PSII repair cycle, causing the degradation of PII-D1 in photosystem II and its subsequent de novo synthesis [37], as shown by the upregulation of PII-D1.

The proteins involved in glycolysis, gluconeogenesis, and starch biosynthesis were strongly downregulated, in a range of 1.5–10.7-fold lower than the control (Table 2). Such proteins included phosphoglucomutase, triosephosphate isomerase, glyceraldehyde-3-phosphate dehydrogenase, glyceraldehyde-3-phosphate dehydrogenase 1, glyceraldehyde-3-phosphate dehydrogenase 2, enolase 2, fructokinase-1, and phosphoenolpyruvate carboxykinase (ATP) 2 (Figure 2). These proteins are essential for the synthesis of metabolic intermediates and amino acids and fructose metabolism, as well as for the production of energy [17,38,39]. However, in species such as Microsorum pteropus, T. cacao, and Brachypodium distachyon, under conditions of Cd stress, the upregulation of proteins involved in energy metabolism has been reported [3,11,17]. On the other hand, in similar studies carried out on Cannabis sativa, the downregulation of glycolysis and gluconeogenesis proteins was observed [40]. In our case, only two proteins were upregulated in TC30: the putative aconitate hydratase (ACO), and enolase (ENO 1).

ACO is an important enzyme in the Krebs cycle and the glyoxylate cycle; in leaves, it is essential for citrate flux in the cytosol [41]. This enzyme plays an important role in the accumulation of resistance to oxidative stress and cell death in A. thaliana and Nicotiana benthamiana [42]. ENO1, a key enzyme in glycolysis, catalyzes the conversion of 2-phosphoglycerate into phosphoenolpyruvate. It plays an important role in energy metabolism in cells. In other studies on tolerance to Cd stress in B. distachyon, upregulation of ENO1 was observed [3].

In terms of proteins involved in the Krebs cycle, four downregulated proteins were observed. This cycle comprises several chemical reactions that can store metabolic energy through the oxidation of acetyl-CoA from carbohydrates, fats, and proteins into CO2 and the formation of adenosine triphosphate (ATP) [17].

ATP synthase subunit alpha, cytochrome c, malate dehydrogenase 1, and NADH dehydrogenase (ubiquinone) iron–sulfur protein 8 were shown to be downregulated in this study. The downregulation of Krebs cycle proteins has also been observed in experimental studies on C. sativa [40]. However, some species that are tolerant to Cd stress, such as M. pteropus and B. distachyon, presented significant upregulation of the proteins involved in this cycle. Thus, a large part of their resistance to Cd stress was predicted to be based on these proteins [3,17]. Only pyruvate dehydrogenase E1 component subunit beta-1 was shown to be upregulated by 8.9-fold in TC30. This protein could be a key element in ATP homeostasis in P. fasciculatum, accelerating the production of pyruvate and acetyl-CoA, and reducing NAD+ to NADH to increase ATP synthesis [43].

The proteins related to photosynthesis, energy metabolism, and protein metabolism showed strong downregulation; however, P. fasciculatum showed significant growth (p < 0.05) for 60 days, without showing adverse effects such as chlorosis or necrosis (Figure S1). The upregulation of some proteins (already described above) in these metabolic pathways is key to improving photosynthetic activity and energy production. However, with the changes in the proteome identified in the P. fasciculatum leaves, it can be clearly seen that multiple mechanisms are used to enhance the activity of various metabolic pathways in response to Cd stress, which we describe below.

3.2. Signal-Transduction-Associated Protein Changes during Cd Stress

Proteins involved in signal transduction can experience increases in their abundance levels when plants are under conditions of abiotic stress, e.g., due to exposure to Cd. The 14-3-3 proteins regulate the activities of some proteins involved in signal transduction [3]; these proteins may play important roles in the response to and defense against abiotic and biotic stressors in plants [44]. The 14-3-3 proteins participate in specific protein phosphorylation cascades [45]. In this way, their enzymatic activity can be altered. They can also prevent or induce protein degradation. Likewise, this can affect the locations of proteins within cell organelles by binding to their targets [46,47]. Furthermore, these proteins can activate Ca2+-dependent protein kinase (CDPK), while ROS-like H2O2 can also activate CDPK by increasing cytosolic Ca2+. In this way, they can activate transcription factors that regulate the expression levels of specific genes (Figure 2) [48]. These proteins play important roles in the tolerance mechanisms of plants. They allow the cells to modify metabolic pathways, such as those associated with defense, photosynthesis, and redox homeostasis [49]. In this study, seven differentially upregulated proteins involved in signal transduction were identified in P. fasciculatum leaves in both treatments, three of which were from the 14-3-3 protein family: the 14-3-3 -like protein (2.1-fold in TC50), the 14-3-3-like protein GF14-B (2.2-fold in TC50), and the 14-3-3-like protein GF14-D (2.7- and 2.4-fold in TC30 and TC50, respectively). Of the multiple mechanisms of tolerance to Cd stress associated with P. fasciculatum, the 14-3-3 proteins play a fundamental role, because these proteins interact with other proteins involved in cell signaling, energy metabolism, antioxidant defense, and protein folding and repair.

Other important proteins involved in cell signaling identified in this study included the Rab proteins, which also play important roles in vesicular traffic. However, these proteins are also important for the detoxification, transport, and compartmentalization processes of heavy metals in vacuoles [50]. In this study, Ras-related protein Rab-2-B (Rab-2; 6.4- and 7.3-fold in TC30 and TC50, respectively), Ras-related protein RABE1c (Rabe1c; 1.6-fold in TC50), Ras-related protein RABA1e (Raba1e; 8.6- and 7.6-fold in TC30 and TC50, respectively), and Ras-related protein Rab7 (Rab7; 6.3-fold in TC50) were upregulated. Experimental studies have shown that Rab7 can be transported to the vacuoles by vesicular transport [51]. This suggests that these proteins could be involved in the transport of Cd to vacuoles (Figure 2). Similar results have been reported for A. thaliana plants exposed to aluminum stress [52]. In addition, it is known that these proteins play important roles in the growth and development of plants, and play a key role in the response to biotic and abiotic stress [51].

3.3. Protein Changes Associated with Growth and Development during Cd Stress

Actins are essential proteins that have functions in the composition of the cytoskeleton, cell division and growth, morphogenesis, and hormonal transport [53,54,55]. In this study, five types of these proteins were upregulated: actin (3.0-fold in TC50), actin-1 (8.4- and 9.2-fold in TC30 and TC50, respectively), actin-depolymerizing factor 2 (3.0-fold in TC30), actin-depolymerizing factor 3 (3.0-fold in TC50), and actin-7 (1.5- and 7.6-fold in TC30 and TC50, respectively). These proteins were shown to be important for the growth and development of seedlings exposed to Cd stress for 60 days, and were likely responsible for the significant growth of these plants compared to the controls.

3.4. Antioxidant-Defense- and Stress-Response-Involved Protein Changes during Cd Stress

Other important proteins involved in the multiple mechanisms of tolerance of P. fasciculatum that were upregulated included the heat shock proteins (HSPs): heat shock 70 kDa protein, heat shock cognate 70 kDa protein 2, 17.0 kDa class II heat shock protein, and 18.2 kDa class I heat shock protein. These proteins accumulate in organisms such as plants to allow them to adapt genetically and eco-physiologically to stressful environments [56]. HSPs are likely to play a role in the repair of proteins damaged by Cd stress in P. fasciculatum leaves (Figure 2). These proteins have the ability to protect and repair proteins under abiotic stress conditions. They aid in folding and degradation, and act on misfolded proteins that have lost their normal assembly [3]. ROS are responsible for a large part of the damaging effects on proteins caused by Cd stress in P. fasciculatum leaves [25].

The uptake of Cd into cells by zinc-regulated, iron-regulated transporter-like protein (ZIP) [57] can generate ROS via the Haber–Weiss/Fenton reaction through the displacement of cations, or by activating NAPH oxidase (Figure 2) [58]. Under Cd stress conditions, these plants have an antioxidant defense system. Antioxidant enzymes are involved in this system, and are crucial to the elimination of ROS [59]. The proteins involved in the antioxidant defense were also identified in P. fasciculatum leaves; however, Cd stress caused the downregulation of four proteins. Only peroxiredoxin 1 was upregulated, by 2.2- and 2.4-fold in TC30 and TC50, respectively (Table 2). These proteins play roles in the response to stress, auxin catabolism, lignification, and H2O2 removal, and are secreted by vacuoles, apoplasts, or cell walls [60]. Peroxidase 1 plays an important role in the detoxification of toxic H2O2 accumulated in the vacuoles due to Cd stress in P. fasciculatum (Figure 2). For plant cells to grow and develop properly, it is crucial to eliminate these toxic molecules [61].

In summary, based on different changes in the leaf protein profiles among the treatment groups, we hypothesize that some proteins involved in signal transduction (Ras-related protein RABA1e), growth (actin-7), and cellular development (actin-1), as well as HSPs (heat shock cognate 70 kDa protein 2), are part of the tolerance response to Cd stress, as illustrated in Figure 2.

4. Materials and Methods

4.1. Plant Growth Conditions and Tissue Sampling

P. fasciculatum plants were propagated from cuttings (5 cm) obtained from individuals of 1 m in length and grown in metal-free soil [25,26]. Three weeks after cut-sowing, plantlets were transferred to the soil from the “Alacrán” mine (northwestern Colombia, 7°44′29.0″ N and 75°44′10.8″ W) (Table S2). They were supplemented or not (control plants) with two concentrations of Cd: 30 and 50 mg kg−1. The preparation and the physical and chemical characteristics of the soil samples were reported by Salas Moreno et al. [26]. The experiment was performed under greenhouse conditions with an average temperature of 25–30 °C, a relative humidity of between 55 and 65%, and a natural illumination of around 12 h. Throughout the 60-day experiment, the plants were visually monitored, and the biomass and metal contents were determined in the roots, stems, and leaves [26]. At day 60, leaves from the control and Cd-treated plants were picked, abundantly washed with water, dried with filter paper, frozen in liquid nitrogen, and lyophilized. The experimental design consisted of three replicates per treatment (control, 30 mg kg−1, and 50 mg kg−1 soil of Cd). Each replicate contained leaves from P. fasciculatum plants, corresponding to 1 g of fresh weight. In Figure S1, a photograph of the plants used in each treatment group is included.

4.2. Protein Extraction and Digestion

Lyophilized leaf tissue (1000 mg weight) was ground to a fine powder in liquid nitrogen using a pestle and mortar. Proteins were extracted from the powder by using the TCA–acetone–phenol protocol, as reported by Wang et al. [62], and then quantified with the Bradford assay, using bovine serum albumin (BSA) as the standard [63].

Protein samples (50 µg equivalent of BSA) were cleaned and concentrated by SDS–PAGE (12%), with the gel being Coomassie-stained [64]. The single band obtained was manually excised, destained, and digested with proteomics-grade trypsin (Promega, Madison, WI, USA) to a final concentration of 12.5 ng µL−1, in accordance with the method used by Romero-Rodríguez et al. [65].

Digested peptides were desalted using C18 cartridges (Scharlau, Barcelona, Spain), and eluted peptides were vacuum-dried and dissolved in a mixture of 70:30 (v/v) acetonitrile (ACN)/water containing 0.1% trifluoroacetic acid.

4.3. Shotgun LC–MS/MS Analysis

Nano-LC was performed using a Dionex Ultimate 3000 nano UPLC (Thermo Scientific, Waltham, MA, USA) with a C18 75 µm × 50 Acclaim PepMap column (Thermo Scientific). The peptide mix was previously loaded onto a 300 µm × 5 mm Acclaim PepMap precolumn (Thermo Scientific) in 2% AcN/0.05% TFA for 5 min at 5 µL/min. Peptide separation was performed at 40 °C for all runs. Mobile phase A was 0.1% formic acid, and mobile phase B was 80% AcN, 0.1% formic acid. Samples were separated over 60 min using a gradient ranging from 96% A to 90% B and a flow rate of 300 nL/min. Eluted peptides were converted into gas-phase ions by nano-electrospray ionization and analyzed using a Thermo Orbitrap Fusion (Q-OT-qIT, Thermo Scientific) mass spectrometer operated in positive mode. Survey scans of peptide precursors were performed from 400 to 1500 m/z at a 120 K resolution (at 200 m/z), with a 4 × 105 ion count target. Tandem MS was performed by isolation at 1.2 Da with the quadrupole, CID fragmentation with a normalized collision energy of 35, and rapid scan MS analysis in the ion trap. The AGC ion count target was set to 2 × 103, and the maximum injection time was 300 ms. Only precursors with a charge state of 2–5 were sampled for MS2. The dynamic exclusion duration was set to 15 s, with a 10 ppm tolerance around the selected precursor and its isotopes. Monoisotopic precursor selection was turned on. The instrument was run in top 30 mode with 3 s cycles, meaning that the instrument would continuously perform MS2 events until achieving a maximum of 30 top non-excluded precursors or a duration of 3 s—whichever was shorter.

4.4. Protein Identification and Functional Classification

The raw data derived from the MS experiments were processed using Proteome Discoverer software v.1.4 (Thermo Scientific). MS2 spectra were searched using the SEQUEST engine against the protein FASTA files created from a combination of the following databases: UniProtKB and the Swiss-Prot database, with taxonomy restrictions to Viridiplantae. The precursor mass tolerance was set to 10 ppm, and the fragment ion mass tolerance was fixed to 0.8 Da. Only charge states of +2 or greater were used. The identification confidence was set to 5% FDR, and acetylation of the N-terminus, oxidation of methionine, and carbamidomethyl cysteine formation were set as variable modifications. No fixed modifications were set. Trypsin was set as a proteolytic enzyme, and a maximum of two miscleavages was set for all searches. A minimum XCorr of 2 and proteins with 3 or more peptides matched were considered. For relative quantification, the peak area of identified peptides was used.

The protein peak areas were normalized by the total sum of the peak area values per sample, and missing values were corrected. Mean values and standard deviations (SDs) of the peak areas of protein species were determined using three independent analyses (Supplementary Table S3). The proteins determined were identified, and their functional classifications were established with the help of the UniProtKB database.

To determine significant quantitative differences in protein abundance, normalized ratio values between treatments (TC30/C, TC50/C) ≥ 1.5 (upregulated) or ≤0.67 (downregulated) and p-values of 0.05 were considered. Biological significance (log2(fold change)) was used to describe the changes induced by Pb treatments on the P. fasciculatum leaf proteome (proteins with more/less than 1.5-fold changes in abundance levels; Table 2). Differentially accumulated proteins were classified based on Gene Ontology terms annotated in the UniProtKB protein database using molecular functions and biological processes.

4.5. Statistical Analysis

For the experiments (protein peak areas) with P. fasciculatum in mining soil, the results are presented as the mean ± the standard deviation of triplicate determinations. After normalization of the protein peak areas, the data were subjected to ANOVA and, when necessary, a comparison of means was performed using the Bonferroni test. The statistical software GraphPad Prism version 8.0.1 was used for all analyses. Results were considered to be significant at the p ≤ 0.05 level.

5. Conclusions

P. fasciculatum is a Cd phytoremediation plant that has demonstrated a Cd phytostabilization capacity. The results of this research demonstrate important changes in the proteome of P. fasciculatum leaves in their adaptation to Cd-doped mining soils. These changes were mainly observed in proteins involved in energy, protein metabolism, photosynthesis, signal transduction, and cell growth and development, as well as HSPs. Adverse changes in protein abundance were observed in photosynthesis and carbohydrate metabolism; however, these changes were not shown to be a threat to plant growth and development, which could be supported by the upregulation of proteins such as actin, actin-1, actin-depolymerizing factor 2, actin-depolymerizing factor 3, and actin-7. The results of this study may prompt new research aimed at the response to heavy metal stress in phytoremediation plants in areas degraded by gold mining.

Acknowledgments

The authors are grateful to the members of the Laboratory of Toxicology and Environmental Management of the University of Córdoba (Colombia), the Analytical Chemistry and Biomedicine Group, and especially to the Agricultural and Plant Proteomics Research Group (Spain). We also thank Minciencias, the Technological University of Chocó ‘DLC’, and the University of Córdoba for financing this project. M.A.C. is grateful for an award from the Ramón y Cajal (RYC-2017-23706) contract given by the Spanish Ministry of Science, Innovation, and Universities.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/plants11192455/s1, Table S1: Dataset of differentially accumulated proteins in Paspalum fasciculatum leaves exposed to concentrations of 30 and 50 mg kg−1 of Cd in doped mining soils (n = 3). Table S2: Physical and chemical characteristics of the soil from the “El Alacrán” gold mine (n = 3). Table S3: Calculation of the values and standard deviation (SD) of the peak areas of protein species identified in three independent analyses in P. fasciculatum leaves (n = 3). Figure S1: Reproduction through cuttings of P. fasciculatum plants in fertile soils and subsequent transplantation to mining soils supplemented with Cd over 60 days.

Author Contributions

M.S.-M. performed the experiments, data/evidence collection, and writing—review and editing of the initial draft; M.Á.C. provided reagents, materials, mass spectrometry analysis, data curation, and performed the critical review; E.R.-C. performed the critical review, commentary, and revision for the pre-publication stage; D.M.-C. provided oversight and leadership responsibility for the research activity’s planning and execution; J.M.-N. developed and designed the methodology for plant growth under greenhouse conditions, and formulated the evolution of the overarching research goals and aims; J.J.-N. provided reagents, materials, instrumentation, and computing resources for mass spectrometry analysis, and performed the critical review, commentary, and revision for the pre-publication stage; D.M.-C. provided oversight and leadership responsibility for the research activity planning and execution, including external mentorship to the core team. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

This work was supported by the project code 1112-489-25604 contract 472, financed by the Ministry of Science, Technology, and Innovation (Minciencias), the Technological University of Chocó ‘DLC’, and the University of Córdoba (CO). D.M.C. and E.R.C. were funded by Minciencias and the University of Cartagena, Grant 1107-844-67943 and project Acta 095-2019.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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