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17 pages, 5034 KiB  
Article
Overexpressing ATP Sulfurylase Improves Fe-Deficiency Tolerance in Apple Calli and Tobacco
by Jiao Cheng, Zhongxing Zhang, Yanlong Gao, Yongjuan Dong, Xulin Xian, Cailong Li, Liang Ding and Yanxiu Wang
Agronomy 2024, 14(3), 404; https://doi.org/10.3390/agronomy14030404 - 20 Feb 2024
Viewed by 1270
Abstract
Iron (Fe) deficiency is one of the most common micronutrient deficiencies limiting crop production globally, especially in arid regions due to decreased availability of Fe in alkaline soils. The ATP sulfurylase (ATPS) gene has been reported to participate in regulating various abiotic stresses. [...] Read more.
Iron (Fe) deficiency is one of the most common micronutrient deficiencies limiting crop production globally, especially in arid regions due to decreased availability of Fe in alkaline soils. The ATP sulfurylase (ATPS) gene has been reported to participate in regulating various abiotic stresses. Transcriptome data and qRT-PCR analysis revealed that the ATP sulfurylase gene MhATPS1 was notably induced by Fe-deficiency stress. Consequently, MhATPS1 (103410737) was isolated from Malus halliana, and transgenic tobacco and transgenic apple calli were successfully obtained by genetic transformation. Compared with the wild type (WT), transgenic MhATPS1 lines (transgenic tobacco and transgenic apple calli) displayed stronger resistance to Fe-deficiency treatment. To be specific, transgenic plants exhibited better growth, accumulated more Fe2+ content, had higher ferric chelate reductase (FCR) activity, and a greater active oxygen scavenging capacity. Furthermore, transgenic MhATPS1 lines up-regulated the expression of Fe uptake genes under Fe-deficit stress. Additionally, MhATPS1 transgenic lines secreted more H+ content compared to the WT. In summary, these findings indicate that the MhATPS1 gene may play a positive role in Fe-deficiency stress in both tobacco and apple calli. Full article
(This article belongs to the Section Crop Breeding and Genetics)
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Figure 1

Figure 1
<p>FPKM values of four genes in the transcriptome under Fe deficiency conditions at 0 h, 12 h, and 3 d in <span class="html-italic">Mulus halliana</span>.</p>
Full article ">Figure 2
<p>Effect of <span class="html-italic">MhATPS1</span> on Fe-deficiency tolerance in transgenic tobacco. (<b>A</b>) Expression analysis of <span class="html-italic">MhATPS1</span> in WT and transgenic tobacco by qRT-PCR. (<b>B</b>) Phenotypes of the WT and <span class="html-italic">MhATPS1</span> transgenic lines; the WT and transgenic tobacco lines under Fe-sufficient (+Fe) and Fe-deficient (−Fe) stress surroundings. (<b>C</b>,<b>D</b>) Fresh weights and REC of WT and transgenic tobacco under the control or Fe-deficient treatment conditions. (<b>E</b>–<b>H</b>) Determination of chlorophyll content in transgenic tobacco and WT tobacco. Error bars represent the means ± SD taken from three independent biological replicates (<span class="html-italic">p</span> &lt; 0.05). The letters indicate significant differences according to one-way ANOVA (Tukey’s test; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>ROS accumulation and activity of antioxidant enzymes in transgenic tobacco and WT tobacco under Fe-sufficient (+Fe) and Fe-deficient (−Fe) conditions. (<b>A</b>) H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub><sup>−</sup> contents in the leaves. (<b>B</b>) NBT and DAB tissue staining. (<b>C</b>) O<sub>2</sub><sup>−</sup> productivity. (<b>D</b>) H<sub>2</sub>O<sub>2</sub> content. (<b>E</b>–<b>H</b>) Enzymatic activity of SOD, POD, APX, and CAT in transgenic and WT tobacco under Fe-sufficient or Fe-deficient conditions. The letters indicate significant differences according to one-way ANOVA (Tukey’s test; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>Fe acquisition analysis of tobacco in response to Fe deficiency. (<b>A</b>) Rhizosphere acidification assay using agar plates containing bromocresol purple for 24 h. (<b>B</b>) FCR activity. (<b>C</b>) Fe<sup>2+</sup> content. (<b>D</b>–<b>F</b>) Expression of genes related to Fe uptake and transport in transgenic and WT tobacco in a Fe-deficient environment (<span class="html-italic">NTIRT1</span>, <span class="html-italic">NTFER1</span>, and <span class="html-italic">NTFRO2</span>). The letters indicate significant differences according to one-way ANOVA (Tukey’s test; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Effect of <span class="html-italic">MhATPS1</span> on Fe-deficiency tolerance in transgenic apple calli. (<b>A</b>) Expression analysis of <span class="html-italic">MhATPS1</span> in WT and <span class="html-italic">MhATPS1</span>-OE transgenic calli by qRT-PCR. (<b>B</b>) The growth status of transgenic and WT calli under +Fe or −Fe conditions. (<b>C</b>,<b>D</b>) Fresh weights and REC of WT and transgenic calli. (<b>E</b>–<b>H</b>). Determination of antioxidant enzyme activity in transgenic and WT calli under Fe-sufficient of Fe-deficient surroundings. The letters indicate significant differences according to one-way ANOVA (Tukey’s test; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>Transgenic calli respond to Fe-deficiency stress. (<b>A</b>) Acidification assay using agar plates containing bromocresol purple for 24 h under Fe-sufficient or Fe-deficient surroundings. (<b>B</b>) Determination of FCR activity. (<b>C</b>) Determination of Fe<sup>2+</sup> content. (<b>D</b>–<b>G</b>) Expression of the genes involved in Fe transport and intake in the transgenic and WT calli. The letters indicate significant differences according to one-way ANOVA (Tukey’s test; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
18 pages, 3211 KiB  
Article
Melatonin Reverses High-Temperature-Stress-Inhibited Photosynthesis in the Presence of Excess Sulfur by Modulating Ethylene Sensitivity in Mustard
by Noushina Iqbal, Zebus Sehar, Mehar Fatma, Sheen Khan, Ameena Fatima Alvi, Iqbal R. Mir, Asim Masood and Nafees A. Khan
Plants 2023, 12(17), 3160; https://doi.org/10.3390/plants12173160 - 2 Sep 2023
Cited by 7 | Viewed by 1581
Abstract
Melatonin is a pleiotropic, nontoxic, regulatory biomolecule with various functions in abiotic stress tolerance. It reverses the adverse effect of heat stress on photosynthesis in plants and helps with sulfur (S) assimilation. Our research objective aimed to find the influence of melatonin, along [...] Read more.
Melatonin is a pleiotropic, nontoxic, regulatory biomolecule with various functions in abiotic stress tolerance. It reverses the adverse effect of heat stress on photosynthesis in plants and helps with sulfur (S) assimilation. Our research objective aimed to find the influence of melatonin, along with excess sulfur (2 mM SO42−), in reversing heat stress’s impacts on the photosynthetic ability of the mustard (Brassica juncea L.) cultivar SS2, a cultivar with low ATP-sulfurylase activity and a low sulfate transport index (STI). Further, we aimed to substantiate that the effect was a result of ethylene modulation. Melatonin in the presence of excess-S (S) increased S-assimilation and the STI by increasing the ATP-sulfurylase (ATP-S) and serine acetyltransferase (SAT) activity of SS2, and it enhanced the content of cysteine (Cys) and methionine (Met). Under heat stress, melatonin increased S-assimilation and diverted Cys towards the synthesis of more reduced glutathione (GSH), utilizing excess-S at the expense of less methionine and ethylene and resulting in plants’ reduced sensitivity to stress ethylene. The treatment with melatonin plus excess-S increased antioxidant enzyme activity, photosynthetic-S use efficiency (p-SUE), Rubisco activity, photosynthesis, and growth under heat stress. Further, plants receiving melatonin and excess-S in the presence of norbornadiene (NBD; an ethylene action inhibitor) under heat stress showed an inhibited STI and lower photosynthesis and growth. This suggested that ethylene was involved in the melatonin-mediated heat stress reversal effects on photosynthesis in plants. The interaction mechanism between melatonin and ethylene is still elusive. This study provides avenues to explore the melatonin–ethylene-S interaction for heat stress tolerance in plants. Full article
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Figure 1

Figure 1
<p>Activity of 1-aminocyclopropane-1-carboxylic acid synthase (ACS) (<b>A</b>) and ethylene evolution (<b>B</b>) of mustard (<span class="html-italic">Brassica juncea</span> L. cv. SS2) at 30 d after sowing. Plants were foliar treated with 100 of µM melatonin and/or 2 mM of SO<sub>4</sub><sup>2−</sup> (S) and grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05. FW, fresh weight.</p>
Full article ">Figure 2
<p>Rubisco activity (<b>A</b>) and photosynthetic sulfur use efficiency (p-SUE) (<b>B</b>) of mustard (<span class="html-italic">Brassica juncea</span> L. cv. SS2) at 30 d after sowing. Plants were foliar treated with 100 µM of melatonin and/or 2 mM of SO<sub>4</sub><sup>2−</sup> (S) and grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 3
<p>Leaf area (<b>A</b>) and plant dry mass (<b>B</b>) of mustard (<span class="html-italic">Brassica juncea</span> L.) cv. SS2 at 30 d after sowing. Plants were foliar treated with 100 µM of melatonin and/or 2 mM of SO<sub>4</sub><sup>2−</sup> (S) and grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>Root sulfate content (<b>A</b>), leaf sulfate content (<b>B</b>), and sulfur transport index (<b>C</b>) of mustard (<span class="html-italic">Brassica juncea</span> L. cv. SS2) at 30 d after sowing. Plants were foliar treated with 100 µM of melatonin and/or 2 mM of SO<sub>4</sub><sup>2−</sup> (S) and grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5
<p>Net photosynthesis (Pn) (<b>A</b>), stomatal conductance (Gs) (<b>B</b>), and intercellular CO<sub>2</sub> concentration (Ci) (<b>C</b>) of mustard (<span class="html-italic">Brassica juncea</span> L. cv. SS2) at 30 d after sowing. Plants were grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days) and were foliar treated with 100 µM of melatonin and 2 mM of SO<sub>4</sub><sup>2−</sup> (S) with/without 100 µM norbornadiene (NBD). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 6
<p>Leaf area (<b>A</b>) and plant dry mass (<b>B</b>) of mustard (<span class="html-italic">Brassica juncea</span> L. cv. SS2) at 30 d after sowing. Plants were grown with/without high temperature stress (HS; 40 °C for 6 h every day for 15 days). Heat-stressed plants were foliar treated with 100 µM of melatonin and 2 mM of SO<sub>4</sub><sup>2−</sup> (S) with/without 100 µM norbornadiene (NBD). Data are presented as treatment means ± SEs (n = 4). Data followed by the same letter are not significantly different from the LSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 7
<p>Principal component analysis (PCA) biplot for growth and physio–biochemical traits of <span class="html-italic">Brassica juncea</span> plants. The treatments included control, heat stress (HS), sulfur (S), melatonin, HS + S, melatonin + HS, and melatonin + S + HS. The variables included methionine (Meth), ethylene (Eth), 1-aminocyclopropane carboxylic acid synthase (ACS), thiobarbituric-acid-reactive substances (TBARS), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), superoxide dismutase (SOD), glutathione reductase (GR), ascorbate peroxidase (APX), reduced glutathione (GSH), cysteine (Cys), ATP-sulfurylase (ATP-S), serine acetyltransferase (SAT), Rubisco activity, root S, leaf S, sulfate transport index (STI), net photosynthesis (Pn), stomatal conductance (gs), intercellular CO<sub>2</sub> concentration (Ci), photosynthetic-S use efficiency (p-SUE), plant dry mass (PDM), and leaf area (LA).</p>
Full article ">Figure 8
<p>Pearson correlation heatmap showing the relationship among different observed variables for <span class="html-italic">Brassica juncea</span> plants. The treatments included control, heat stress (HS), sulfur (S), melatonin, HS + S, melatonin + HS, and melatonin + S + HS. The variables included methionine (Meth), ethylene (Eth), 1-aminocyclopropane carboxylic acid synthase (ACS), thiobarbituric acid reactive substances (TBARS), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), superoxide dismutase (SOD), glutathione reductase (GR), ascorbate peroxidase (APX), reduced glutathione (GSH), cysteine (Cys), ATP-sulfurylase (ATP-S), serine acetyltransferase (SAT), Rubisco activity, root S, leaf S, sulfate transport index (STI), net photosynthesis (Pn), stomatal conductance (gs), intercellular CO<sub>2</sub> concentration (Ci), photosynthetic-S use efficiency (p-SUE), plant dry mass (PDM), and leaf area (LA).</p>
Full article ">Figure 9
<p>The mechanistic interaction between melatonin and ethylene that affects heat stress tolerance’s impact on excess-S availability.</p>
Full article ">
12 pages, 2760 KiB  
Article
Natural Variation in OASC Gene for Mitochondrial O-Acetylserine Thiollyase Affects Sulfate Levels in Arabidopsis
by Anna Koprivova, Büsra Elkatmis, Silke C. Gerlich, Martin Trick, Andrea L. Harper, Ian Bancroft and Stanislav Kopriva
Plants 2023, 12(1), 35; https://doi.org/10.3390/plants12010035 - 21 Dec 2022
Cited by 2 | Viewed by 1579
Abstract
Sulfur plays a vital role in the primary and secondary metabolism of plants, and carries an important function in a large number of different compounds. Despite this importance, compared to other mineral nutrients, relatively little is known about sulfur sensing and signalling, as [...] Read more.
Sulfur plays a vital role in the primary and secondary metabolism of plants, and carries an important function in a large number of different compounds. Despite this importance, compared to other mineral nutrients, relatively little is known about sulfur sensing and signalling, as well as about the mechanisms controlling sulfur metabolism and homeostasis. Sulfur contents in plants vary largely not only among different species, but also among accessions of the same species. We previously used associative transcriptomics to identify several genes potentially controlling variation in sulfate content in the leaves of Brassica napus, including an OASC gene for mitochondrial O-acetylserine thiollyase (OAS-TL), an enzyme involved in cysteine synthesis. Here, we show that loss of OASC in Arabidopsis thaliana lowers not only sulfate, but also glutathione levels in the leaves. The reduced accumulation is caused by lower sulfate uptake and translocation to the shoots; however, the flux through the pathway is not affected. In addition, we identified a single nucleotide polymorphism in the OASC gene among A. thaliana accessions that is linked to variation in sulfate content. Both genetic and transgenic complementation confirmed that the exchange of arginine at position 81 for lysine in numerous accessions resulted in a less active OASC and a lower sulfate content in the leaves. The mitochondrial isoform of OAS-TL is, thus, after the ATPS1 isoform of sulfurylase and the APR2 form of APS reductase 2, the next metabolic enzyme with a role in regulation of sulfate content in Arabidopsis. Full article
(This article belongs to the Special Issue Plant Sulfur Network)
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Figure 1

Figure 1
<p>Disruption of <span class="html-italic">OASC</span> affects sulfur-containing metabolites. Col-0 (light grey) and <span class="html-italic">oasC</span> (dark grey) plants were grown for 2.5 weeks on MS-agarose plates. The content in the leaves of (<b>A</b>) sulfate, (<b>B</b>) cysteine, (<b>C</b>) glutathione, and (<b>D</b>) glucosinolates, as well as of (<b>E</b>) sulfate and (<b>F</b>) glutathione in roots was measured. Data are presented as means ± S.D. from four biological replicates. Asterisks mark values significantly different from the wild-type Col-0 at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 2
<p>Sulfate uptake and translocation decreased in <span class="html-italic">oasC</span> mutant. Col-0 (light grey) and <span class="html-italic">oasC</span> (dark grey) seedlings grown on MS-agarose plates for 2.5 weeks were fed with the solution containing <sup>35</sup>SO<sub>4</sub><sup>2−</sup> for 4 h. (<b>A</b>) Sulfate uptake and (<b>B</b>) translocation to shoots was determined by scintillation counting. Relative flux was measured as incorporation of [<sup>35</sup>S] in (<b>C</b>) thiols and proteins and (<b>D</b>) from the [<sup>35</sup>S] sulfate taken up. Data are presented as means ± S.D. from four biological replicates. Asterisks mark values significantly different from the wild-type Col-0 at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 3
<p>Disruption of <span class="html-italic">OASC</span> has no effect on expression of genes involved in sulfur metabolism. Col-0 (light grey) and <span class="html-italic">oasC</span> (dark grey) were grown for 2.5 weeks on MS-agarose plates. RNA was extracted from (<b>A</b>) shoots and (<b>B</b>) roots and relative transcript levels of nine genes involved in sulfur metabolism were analyzed by qPCR. The <span class="html-italic">TIP4</span> gene was used as an internal control to normalize expression levels. Data are presented as means ± S.D. from four biological replicates analyzed in duplicates. Asterisks mark values significantly different from the wild-type Col-0 at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 4
<p>Sulfate accumulation is affected by the mutation of genes for OAS-TL isoforms. Col-0, <span class="html-italic">oasA, oasB, oasC, oasAB, oasAC, oasBC, oasC1, oasD1, oasD2</span> and <span class="html-italic">serat2.1</span> mutant plants were grown on MS-agarose plates for 2.5 weeks. The sulfate concentration of root and shoot was determined. Data are presented as means ± S.D. from four biological replicates. Asterisks mark values significantly different from the wild-type Col-0 at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 5
<p>Exogenous sulfate supply affects sulfate levels in <span class="html-italic">oasC</span> mutant. Col-0 and <span class="html-italic">oasC</span> were grown on MS-agarose plates containing 15 µM, 45 µM and 750 µM sulfate. Sulfate levels of the leaves were measured. Data are presented as means ± S.D. from four biological replicates. Asterisks mark values significantly different from the wild-type Col-0 at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 6
<p>Sulfate content is affected by the Ha-0 allele of <span class="html-italic">OASC</span>. Plants were grown in soil in the greenhouse for four weeks. Shoots were harvested, and sulfate levels were measured. (<b>A</b>) Sulfate levels in different Arabidopsis accessions. Accessions with Col-0-like allele of <span class="html-italic">OASC</span> are dark grey, those with Ha-0-like allele are black. (<b>B</b>) Mean sulfate levels from Arabidopsis accessions with the two alleles of <span class="html-italic">OasC</span> from (<b>A</b>). Asterisks mark significantly different values at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test). (<b>C</b>) Genetic complementation. Col-0 and <span class="html-italic">oasC</span> plants were crossed with Ha-0 and Col-0, F1 plants were grown in greenhouse for four weeks and sulfate was measured in the leaves. Data are presented as means ± S.D. from four biological replicates.</p>
Full article ">Figure 7
<p>Transgenic complementation. Homozygous <span class="html-italic">oasC</span> mutants complemented either with Ha-0 or Col-0 allele of <span class="html-italic">OASC</span> were grown in soil in the greenhouse for four weeks. Sulfate levels in leaves were measured. Three lines were used for each construct. Data are presented as means ± S.D. from four biological replicates. Different letters denote significantly different values at <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test).</p>
Full article ">
13 pages, 3476 KiB  
Review
Good-Practice Non-Radioactive Assays of Inorganic Pyrophosphatase Activities
by Alexander A. Baykov, Viktor A. Anashkin and Anssi M. Malinen
Molecules 2021, 26(8), 2356; https://doi.org/10.3390/molecules26082356 - 18 Apr 2021
Cited by 10 | Viewed by 3882
Abstract
Inorganic pyrophosphatase (PPase) is a ubiquitous enzyme that converts pyrophosphate (PPi) to phosphate and, in this way, controls numerous biosynthetic reactions that produce PPi as a byproduct. PPase activity is generally assayed by measuring the product of the hydrolysis reaction, [...] Read more.
Inorganic pyrophosphatase (PPase) is a ubiquitous enzyme that converts pyrophosphate (PPi) to phosphate and, in this way, controls numerous biosynthetic reactions that produce PPi as a byproduct. PPase activity is generally assayed by measuring the product of the hydrolysis reaction, phosphate. This reaction is reversible, allowing PPi synthesis measurements and making PPase an excellent model enzyme for the study of phosphoanhydride bond formation. Here we summarize our long-time experience in measuring PPase activity and overview three types of the assay that are found most useful for (a) low-substrate continuous monitoring of PPi hydrolysis, (b) continuous and fixed-time measurements of PPi synthesis, and (c) high-throughput procedure for screening purposes. The assays are based on the color reactions between phosphomolybdic acid and triphenylmethane dyes or use a coupled ATP sulfurylase/luciferase enzyme assay. We also provide procedures to estimate initial velocity from the product formation curve and calculate the assay medium’s composition, whose components are involved in multiple equilibria. Full article
(This article belongs to the Special Issue Study on Enzyme Kinetics for Biochemistry)
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Figure 1

Figure 1
<p>The phosphate analyzer is used to assay PPase activity in a continuous way. (<b>A</b>) Flow diagram for the phosphate analyzer in standard mode; (<b>B</b>) Tubing connections on the pump in the high-sensitivity mode; (<b>C</b>) tubing connections in the low dead-time mode. Numbers on the pump refer to flow rate in mL/min (before the slash) and tubing diameter in mm (panel A) or flow rate in mL/min (panels B and C). (<b>D</b>) Actual P<sub>i</sub> accumulation recordings in setup A with photometer sensitivity of 1 absorbance unit per recorder scale. The calibration data shown at the beginning of the recording was obtained by adding 0–200 µM P<sub>i</sub> to the reaction buffer. (<b>E</b>) Actual P<sub>i</sub> accumulation recordings in setup B with photometer sensitivity of 0.1 absorbance unit per recorder scale. The assay mixture of 40 mL volume contained 140 µM PP<sub>i</sub>, 5 mM MgCl<sub>2</sub>, 50 mM MOPS–KOH, pH 7.2, and 0.03 nM <span class="html-italic">Streptococcus gordonii</span> PPase with a specific activity of 480 s<sup>−1</sup>. (<b>F</b>) Actual recordings of P<sub>i</sub> accumulation in the setup C for rat liver PPase in the presence (a) or absence (b) of slow-binding inhibitor (10 mM fluoride). The arrow marks the moment of enzyme addition. Part of the figure was taken with permission from references [<a href="#B13-molecules-26-02356" class="html-bibr">13</a>] (panels A and D) and [<a href="#B14-molecules-26-02356" class="html-bibr">14</a>] (panels C and F).</p>
Full article ">Figure 2
<p>PPase assay using the malachite green procedure. Two bottom rows show a duplicate series of phosphate dilutions from 0 µM (left) to 10 µM (right). Two top rows show typical results of a duplicate screening test of a library of potential inhibitors of <span class="html-italic">Escherichia coli</span> PPase. The yellow color indicates strong inhibition, dark green color—no inhibition.</p>
Full article ">Figure 3
<p>Schematics of the assays to measure PPase-catalyzed PP<sub>i</sub> synthesis. (<b>A</b>) A continuous assay of the medium PP<sub>i</sub> synthesis; (<b>B</b>) fixed-time assay of the medium PP<sub>i</sub> synthesis; (<b>C</b>) determination of enzyme-bound PP<sub>i</sub>. The assayed PPase is added to all far-left tubes. Three other major components are shown as colored spots. The principal analytes transferred between the tubes are indicated above the arrows. The blue star refers to the luminescence signal. (<b>D</b>) Actual PP<sub>i</sub> accumulation recordings in the assay version A for baker’s yeast PPase in the presence of slow-binding inhibitor (fluoride; its concentrations in mM are indicated on the curves). Panel D was taken with permission from reference [<a href="#B34-molecules-26-02356" class="html-bibr">34</a>].</p>
Full article ">Scheme 1
<p>Complex formation between PP<sub>i</sub>, H<sup>+</sup>, Mg<sup>2+</sup>, K<sup>+</sup> and Na<sup>+</sup> ions under physiological conditions. The number above or beside arrows refers to the minus logarithm of the respective dissociation constant [<a href="#B41-molecules-26-02356" class="html-bibr">41</a>].</p>
Full article ">Scheme 2
<p>A simplified description of complexation between PP<sub>i</sub> and Mg<sup>2+</sup> at fixed pH and alkali metal ion concentrations.</p>
Full article ">Scheme 3
<p>Complex formation between P<sub>i</sub>, H<sup>+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, and Na<sup>+</sup> ions under physiological conditions. The number above or beside arrows refers to the minus logarithm of the respective dissociation constant [<a href="#B42-molecules-26-02356" class="html-bibr">42</a>,<a href="#B43-molecules-26-02356" class="html-bibr">43</a>,<a href="#B44-molecules-26-02356" class="html-bibr">44</a>,<a href="#B45-molecules-26-02356" class="html-bibr">45</a>].</p>
Full article ">Figure A1
<p>Time-course of product accumulation in the enzyme-catalyzed reaction (solid line). The dashed straight line is the zero-time tangent to the solid curve, with the slope equal to the initial velocity.</p>
Full article ">Figure A2
<p>The dependence of ∆<span class="html-italic">P</span> in <a href="#molecules-26-02356-f0A1" class="html-fig">Figure A1</a> on <span class="html-italic">P</span><sub>inf</sub> at seven fixed values of <span class="html-italic">P</span> (shown on one panel and kept same on the other panels) and six values of <span class="html-italic">K</span><sub>m</sub> (shown on the panels) for an enzyme-catalyzed reaction. For simplicity, the values of ∆<span class="html-italic">P</span>, <span class="html-italic">P</span><sub>inf</sub>, <span class="html-italic">P</span> and <span class="html-italic">K</span><sub>m</sub> are shown in terms of the same arbitrary unit, for instance, recorder paper division. These graphs were created for an enzyme that obeys simple Michaelis–Menten kinetics with the product to substrate ratio of one. To use these graphs for PPase, which produces two P<sub>i</sub> molecules from one PP<sub>i</sub> molecule, one must divide by two the measured values of <span class="html-italic">P</span> and <span class="html-italic">P</span><sub>inf</sub> if they are expressed in terms of P<sub>i</sub>. Note that axis scaling is different on the two bottom panels.</p>
Full article ">
19 pages, 3036 KiB  
Article
Response of Olive Shoots to Salinity Stress Suggests the Involvement of Sulfur Metabolism
by Muhammad Ajmal Bashir, Cristian Silvestri, Eleonora Coppa, Elena Brunori, Valerio Cristofori, Eddo Rugini, Touqeer Ahmad, Ishfaq Ahmad Hafiz, Nadeem Akhtar Abbasi, Muhammad Kausar Nawaz Shah and Stefania Astolfi
Plants 2021, 10(2), 350; https://doi.org/10.3390/plants10020350 - 12 Feb 2021
Cited by 21 | Viewed by 3605
Abstract
Global warming has two dangerous global consequences for agriculture: drought, due to water scarcity, and salinization, due to the prolonged use of water containing high concentrations of salts. Since the global climate is projected to continue to change over this century and beyond, [...] Read more.
Global warming has two dangerous global consequences for agriculture: drought, due to water scarcity, and salinization, due to the prolonged use of water containing high concentrations of salts. Since the global climate is projected to continue to change over this century and beyond, choosing salt-tolerant plants could represent a potential paramount last resort for exploiting the secondary saline soils. Olive is considered moderately resistant to soil salinity as compared to other fruit trees, and in the present study, we investigated the influence of NaCl solutions (ranging from 0 to 200 mM) in a salt-tolerant (cv Canino) and two of its transgenic lines (Canino AT17-1 and Canino AT17-2), overexpressing tobacco osmotin gene, and in a salt-sensitive (Sirole) olive cultivar. After four weeks, most of the shoots of both Canino and Sirole plants showed stunted growth and ultimate leaf drop by exposure to salt-enriched media, contrary to transgenic lines, that did not show injuries and exhibited a normal growth rate. Malondialdehyde (MDA) content was also measured as an indicator of the lipid peroxidation level. To evaluate the role of the S assimilatory pathway in alleviating the adverse effects of salt stress, thiols levels as well as extractable activities of ATP sulfurylase (ATPS) and O-acetyl serine(thiol)lyase (OASTL), the first and the last enzyme of the S assimilation pathway, respectively, have been estimated. The results have clearly depicted that both transgenic lines overexpressing osmotin gene coped with increasing levels of NaCl by the induction of S metabolism, and particularly increase in OASTL activity closely paralleled changes of NaCl concentration. Linear correlation between salt stress and OASTL activity provides evidence that the S assimilation pathway plays a key role in adaptive response of olive plants under salt stress conditions. Full article
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Figure 1
<p>Effect of different concentrations of NaCl on different olive cultivars Canino (<b>a</b>–<b>d</b>) at 0, 50, 100, and 200 mM NaCl, respectively, Sirole (<b>e</b>–<b>h</b>) at 0, 50, 100, and 200 mM NaCl, respectively, along with two transgenic Canino AT17-1 (<b>i</b>–<b>l</b>) at 0, 50, 100, and 200 mM NaCl, respectively and Canino AT17-2 (<b>m</b>–<b>p</b>) at 0, 50, 100, and 200 mM NaCl, respectively.</p>
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<p>(<b>a</b>) Total chlorophyll content, (<b>b</b>) chlorophyll a, (<b>c</b>) chlorophyll b, and (<b>d</b>) carotenoids of olive cv Canino, Sirole, and the transgenic lines Canino AT17-1 and Canino AT17-2 under different concentration of NaCl. Data are means ± SD of four independent replications run in triplicate. Significant differences between samples are indicated by different letters according to Fisher’s test (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>(<b>a</b>) Malondialdehyde, (<b>b</b>) proline content and (<b>c</b>) protein content of olive cv Canino, Sirole, and the transgenic lines Canino AT17-1 and Canino AT17-2 under different concentration of NaCl. Statistics as in <a href="#plants-10-00350-f002" class="html-fig">Figure 2</a>.</p>
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<p>(<b>a</b>) Thiols content, (<b>b</b>) ATP sulfurylase (ATPS) and (<b>c</b>) O-acetyl serine(thiol)lyase (OASTL)activities of olive cv Canino, Sirole, and the transgenic lines Canino AT17-1 and Canino AT17-2 under different concentration of NaCl. Statistics as in <a href="#plants-10-00350-f002" class="html-fig">Figure 2</a>.</p>
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<p>PCA representation of the factors levels on the plane spanned by the principal axes F1 and F2 (<b>a</b>) and dendrogram of cluster analysis (<b>b</b>). Legend: Swt-0—Sirole wt 0mM NaCl, Swt-50—Sirole wt 50 mM NaCl, Swt-100—Sirole wt 100 mM NaCl, Swt-200—Sirole wt 200 mM NaCl; Cwt-0—Canino wt 0 mM NaCl, Cwt-50—Canino wt 50 mM NaCl, Cwt-100—Canino wt 100 mM NaCl, Cwt-200—Canino wt 200 mM NaCl; CAT17-2-0—Canino AT17-2 0 mM NaCl, CAT17-2-50—Canino AT17-2 50 mM NaCl, CAT17-1-100—Canino AT17-1 100 mM NaCl, CAT17-1-200—Canino AT17-1-200 mM NaC; CAT17-2-0—Canino AT17-2-0 mM NaCl, CAT17-2-50—Canino AT17-2-50 mM NaCl, CAT17-2-100—Canino AT17-2-100 mM NaCl, CAT17-2-200—Canino AT17-2-200 mM NaCl.</p>
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<p>Media pH decrease after 4 weeks of culture of the 4 genotypes maintained on media enriched with different NaCl concentrations.</p>
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<p>Tobacco osmotin gene with GenBank accession number and associated primers utilized in PCR (<b>a</b>), Canino wt (Control) and transgenic Canino AT17-1 growing on selection medium enriched with kanamycin (150 mg L<sup>−1</sup>) (<b>b</b>), Analysis of tobacco osmotin gene integration in olive transgenic shoots: red arrows indicate the PCR products of the transgenic clones Canino AT17-1 and Canino AT17-2 (<b>c</b>).</p>
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17 pages, 5678 KiB  
Article
Import of Entamoeba histolytica Mitosomal ATP Sulfurylase Relies on Internal Targeting Sequences
by Herbert J. Santos, Yoko Chiba, Takashi Makiuchi, Saki Arakawa, Yoshitaka Murakami, Kentaro Tomii, Kenichiro Imai and Tomoyoshi Nozaki
Microorganisms 2020, 8(8), 1229; https://doi.org/10.3390/microorganisms8081229 - 12 Aug 2020
Cited by 2 | Viewed by 3600
Abstract
Mitochondrial matrix proteins synthesized in the cytosol often contain amino (N)-terminal targeting sequences (NTSs), or alternately internal targeting sequences (ITSs), which enable them to be properly translocated to the organelle. Such sequences are also required for proteins targeted to mitochondrion-related organelles (MROs) that [...] Read more.
Mitochondrial matrix proteins synthesized in the cytosol often contain amino (N)-terminal targeting sequences (NTSs), or alternately internal targeting sequences (ITSs), which enable them to be properly translocated to the organelle. Such sequences are also required for proteins targeted to mitochondrion-related organelles (MROs) that are present in a few species of anaerobic eukaryotes. Similar to other MROs, the mitosomes of the human intestinal parasite Entamoeba histolytica are highly degenerate, because a majority of the components involved in various processes occurring in the canonical mitochondria are either missing or modified. As of yet, sulfate activation continues to be the only identified role of the relic mitochondria of Entamoeba. Mitosomes influence the parasitic nature of E. histolytica, as the downstream cytosolic products of sulfate activation have been reported to be essential in proliferation and encystation. Here, we investigated the position of the targeting sequence of one of the mitosomal matrix enzymes involved in the sulfate activation pathway, ATP sulfurylase (AS). We confirmed by immunofluorescence assay and subcellular fractionation that hemagluttinin (HA)-tagged EhAS was targeted to mitosomes. However, its ortholog in the δ-proteobacterium Desulfovibrio vulgaris, expressed as DvAS-HA in amoebic trophozoites, indicated cytosolic localization, suggesting a lack of recognizable mitosome targeting sequence in this protein. By expressing chimeric proteins containing swapped sequences between EhAS and DvAS in amoebic cells, we identified the ITSs responsible for mitosome targeting of EhAS. This observation is similar to other parasitic protozoans that harbor MROs, suggesting a convergent feature among various MROs in favoring ITS for the recognition and translocation of targeted proteins. Full article
(This article belongs to the Special Issue Virulence and Parasitism of Parasitic Protozoa)
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<p>(<b>a</b>) Representative immunofluorescence assay (IFA) micrographs of wildtype C-terminal hemagluttinin (HA)-tagged <span class="html-italic">Eh</span>AS (top) and <span class="html-italic">Dv</span>AS (bottom) expressed in <span class="html-italic">E. histolytica</span> trophozoites, double stained with anti-HA antibody (green) and anti-APSK antiserum (red), respectively. Scale bar, 5 µm and DIC, differential interference contrast; (<b>b</b>) Immunoblotting profiles of the total lysate, cytosol, and organelle fractions of <span class="html-italic">Dv</span>AS-HA and <span class="html-italic">Eh</span>AS-HA, respectively. Membranes were stained with anti-HA antibody (top panel), anti-APSK (organelle marker, middle panel), and anti-CS1 antisera (cytosol marker, bottom panel), respectively.</p>
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<p>(<b>a</b>) Three-dimensional structure of <span class="html-italic">Eh</span>AS based on the alignment with AS from <span class="html-italic">Penicillium chrysogenum</span> were prepared with UCSF Chimera [<a href="#B35-microorganisms-08-01229" class="html-bibr">35</a>]. Ribbons depicting the three blocks A, B, and C are colored in red, blue, and green, respectively; (<b>b</b>) Amino acid sequence alignment of <span class="html-italic">Eh</span>AS and <span class="html-italic">Dv</span>AS using Clustal W [<a href="#B36-microorganisms-08-01229" class="html-bibr">36</a>] with the default parameters. The three major blocks A, B, and C are depicted in red, blue, and green text, respectively. Specific regions in block A and B are highlighted in yellow. <span class="html-italic">Dv</span>AS16–37 together with the corresponding <span class="html-italic">Eh</span>AS sequence is denoted with a dotted box to differentiate it from the overlap with <span class="html-italic">Dv</span>AS1–37; (<b>c</b>) Representative immunofluorescence assay (IFA) micrographs of chimeric <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>A)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>B)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>C)-HA, <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>A)-HA, <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>B)-HA, and <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>C)-HA expressed in <span class="html-italic">E. histolytica</span> trophozoites, double stained with anti-HA antibody (green) and anti-APSK antiserum (red) respectively. Scale bar, 5 µm; (<b>d</b>) Immunoblotting profiles of the total lysate, cytosol, and organelle fractions of chimeric <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>A)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>B)-HA, and <span class="html-italic">Eh</span>AS(<span class="html-italic">DvC</span>)-HA, respectively. Membranes were stained with anti-HA antibody (top panel), anti-APSK (organelle marker, middle panel), and anti-CS1 antisera (cytosol marker, bottom panel), respectively.</p>
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<p>(<b>a</b>) Three-dimensional structure of <span class="html-italic">Eh</span>AS based on the alignment with AS from <span class="html-italic">Penicillium chrysogenum</span> were prepared with UCSF Chimera [<a href="#B35-microorganisms-08-01229" class="html-bibr">35</a>]. Ribbons depicting the three blocks A, B, and C are colored in red, blue, and green, respectively; (<b>b</b>) Amino acid sequence alignment of <span class="html-italic">Eh</span>AS and <span class="html-italic">Dv</span>AS using Clustal W [<a href="#B36-microorganisms-08-01229" class="html-bibr">36</a>] with the default parameters. The three major blocks A, B, and C are depicted in red, blue, and green text, respectively. Specific regions in block A and B are highlighted in yellow. <span class="html-italic">Dv</span>AS16–37 together with the corresponding <span class="html-italic">Eh</span>AS sequence is denoted with a dotted box to differentiate it from the overlap with <span class="html-italic">Dv</span>AS1–37; (<b>c</b>) Representative immunofluorescence assay (IFA) micrographs of chimeric <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>A)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>B)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>C)-HA, <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>A)-HA, <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>B)-HA, and <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>C)-HA expressed in <span class="html-italic">E. histolytica</span> trophozoites, double stained with anti-HA antibody (green) and anti-APSK antiserum (red) respectively. Scale bar, 5 µm; (<b>d</b>) Immunoblotting profiles of the total lysate, cytosol, and organelle fractions of chimeric <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>A)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>B)-HA, and <span class="html-italic">Eh</span>AS(<span class="html-italic">DvC</span>)-HA, respectively. Membranes were stained with anti-HA antibody (top panel), anti-APSK (organelle marker, middle panel), and anti-CS1 antisera (cytosol marker, bottom panel), respectively.</p>
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<p>(<b>a</b>) Representative immunofluorescence assay micrographs of chimeric <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>1–37)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>16–37)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>42–47)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>64–73)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>125–139)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>165–174)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>182–206)-HA, and <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>1–203)-HA expressed in <span class="html-italic">E. histolytica</span> trophozoites, double stained with anti-HA antibody (green) and anti-APSK antiserum (red), respectively. Scale bar, 5 µm; (<b>b</b>) Immunoblotting profiles of the total lysate, cytosol, and organelle fractions of <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>1–37)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>16–37)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>42–47)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>64–73)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>125–139)-HA, <span class="html-italic">Eh</span>AS(<span class="html-italic">Dv</span>165–174)-HA, and (<b>c</b>) <span class="html-italic">Dv</span>AS(<span class="html-italic">Eh</span>1–203)-HA, respectively. Membranes were stained with anti-HA antibody (top panel), anti-APSK (organelle marker, middle panel), and anti-CS1 antisera (cytosol marker, bottom panel), respectively.</p>
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