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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2017.01064</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Unraveling the Transcriptional Basis of Temperature-Dependent Pinoxaden Resistance in <italic>Brachypodium hybridum</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Matzrafi</surname> <given-names>Maor</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/399893/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Shaar-Moshe</surname> <given-names>Lidor</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/403248/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rubin</surname> <given-names>Baruch</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/381349/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Peleg</surname> <given-names>Zvi</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/127255/overview"/>
</contrib>
</contrib-group>
<aff><institution>The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem</institution> <country>Rehovot, Israel</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Demosthenis Chachalis, Benaki Phytopathological Institute, Greece</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Ioannis Ganopoulos, Institute of Plant Breeding and Genetic Resources-ELGO DEMETER, Greece; Husrev Mennan, Ondokuz May&#x0131;s University, Turkey; Aliki Kapazoglou, Centre for Research and Technology Hellas, Greece</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Zvi Peleg, <email>zvi.peleg@mail.huji.ac.il</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Agroecology and Land Use Systems, a section of the journal Frontiers in Plant Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1064</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>01</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Matzrafi, Shaar-Moshe, Rubin and Peleg.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Matzrafi, Shaar-Moshe, Rubin and Peleg</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Climate change endangers food security and our ability to feed the ever-increasing human population. Weeds are the most important biotic stress, reducing crop-plant productivity worldwide. Chemical control, the main approach for weed management, can be strongly affected by temperature. Previously, we have shown that temperature-dependent non-target site (NTS) resistance of <italic>Brachypodium hybridum</italic> is due to enhanced detoxification of acetyl-CoA carboxylase inhibitors. Here, we explored the transcriptional basis of this phenomenon. Plants were characterized for the transcriptional response to herbicide application, high-temperature and their combination, in an attempt to uncover the genetic basis of temperature-dependent pinoxaden resistance. Even though most of the variance among treatments was due to pinoxaden application (61%), plants were able to survive pinoxaden application only when grown under high-temperatures. Biological pathways and expression patterns of members of specific gene families, previously shown to be involved in NTS metabolic resistance to different herbicides, were examined. Cytochrome P450, glucosyl transferase and glutathione-<italic>S</italic>-transferase genes were found to be up-regulated in response to pinoxaden application under both control and high-temperature conditions. However, biological pathways related to oxidation and glucose conjugation were found to be significantly enriched only under the combination of pinoxaden application and high-temperature. Analysis of reactive oxygen species (ROS) was conducted at several time points after treatment using a probe detecting H<sub>2</sub>O<sub>2</sub>/peroxides. Comparison of ROS accumulation among treatments revealed a significant reduction in ROS quantities 24 h after pinoxaden application only under high-temperature conditions. These results may indicate significant activity of enzymatic ROS scavengers that can be correlated with the activation of herbicide-resistance mechanisms. This study shows that up-regulation of genes related to metabolic resistance is not sufficient to explain temperature-dependent pinoxaden resistance. We suggest that elevated activity of enzymatic processes at high-temperature may induce rapid and efficient pinoxaden metabolism leading to temperature-dependent herbicide resistance.</p>
</abstract>
<kwd-group>
<kwd>ACCase inhibitors</kwd>
<kwd>climate change</kwd>
<kwd>CYP450</kwd>
<kwd>glutathione-<italic>S</italic>-transferase</kwd>
<kwd>metabolic resistance</kwd>
<kwd>reactive oxygen species</kwd>
<kwd>RNA-seq</kwd>
<kwd>temperature-dependent response</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="83"/>
<page-count count="11"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Anthropogenic greenhouse gas emissions and climate change pose risks to long-term food security due to their detrimental effects on agriculture productivity (<xref ref-type="bibr" rid="B60">Myers et al., 2017</xref>). To feed the 9.6 billion people expected by 2050 (<xref ref-type="bibr" rid="B20">FAOSTAT, 2017</xref>) a significant increase in cereal-grain yield will be needed (reviewed by <xref ref-type="bibr" rid="B79">Tester and Langridge, 2010</xref>). In the long-term (2030&#x2013;2050), climatic changes in the Middle East are expected to affect mean temperatures by 1&#x2013;2&#x00B0;C (<xref ref-type="bibr" rid="B63">Parry et al., 2007</xref>; <xref ref-type="bibr" rid="B62">Nelson et al., 2009</xref>). However, greater risks to food security may be posed by changes in between-year and within-year variability and the increasing frequency and severity of extreme weather events (<xref ref-type="bibr" rid="B28">Gornall et al., 2010</xref>; <xref ref-type="bibr" rid="B47">Lelieveld et al., 2016</xref>; <xref ref-type="bibr" rid="B77">Stott, 2016</xref>). These environmental changes will affect the development and productivity of both crops and weeds. Weed infestation has already been acknowledged as a major factor causing yield reduction in various crops such as maize (<italic>Zea mays</italic>, <xref ref-type="bibr" rid="B76">Soltani et al., 2016</xref>), rice (<italic>Oryza sativa</italic>, <xref ref-type="bibr" rid="B10">Chauhan and Johnson, 2011</xref>; <xref ref-type="bibr" rid="B11">Chauhan and Opena, 2012</xref>), and hazelnut (<italic>Corylus avellana</italic>, <xref ref-type="bibr" rid="B39">Kaya-Altop et al., 2016</xref>).</p>
<p>Since their introduction in 1940, herbicides are the most cost-effective and efficient practice for weed control. In recent years, this method of weed control has become less efficient due to the evolution of herbicide-resistant weeds (<xref ref-type="bibr" rid="B31">Heap, 2017</xref>). Herbicide resistance is a consequence of strong selection pressure imposed by repeated application of the same herbicide to a weed population. Herbicide resistance can result from modification of the target site (TS) or via other mechanisms involved in non-target site (NTS) resistance (<xref ref-type="bibr" rid="B72">Rubin, 1991</xref>). Mechanisms of TS resistance have been well studied; they involve structural changes at herbicide-binding sites or increased expression of target proteins. NTS resistance can be endowed through reduced absorption (<xref ref-type="bibr" rid="B45">Koger and Reddy, 2005</xref>), reduced translocation (<xref ref-type="bibr" rid="B21">Feng et al., 2004</xref>) or sequestration (<xref ref-type="bibr" rid="B44">Kleinman and Rubin, 2016</xref>). The underlying mechanisms involved in NTS resistance are still not thoroughly understood (<xref ref-type="bibr" rid="B16">D&#x00E9;lye, 2013</xref>).</p>
<p>Acetyl-CoA carboxylase (ACCase) inhibitors are commonly used to control grass weeds in various crops. In most plants, two isoforms of the ACCase enzyme, heteromeric and homomeric, exist in different cell compartments (i.e., cytosol and plastids; <xref ref-type="bibr" rid="B71">Roesler et al., 1997</xref>). In grass species, only the homomeric form of the enzyme is present and ACCase inhibitors function by blocking this form (<xref ref-type="bibr" rid="B74">Sasaki and Nagano, 2004</xref>). NTS resistance to ACCase inhibitors is endowed mostly by herbicide detoxification (<xref ref-type="bibr" rid="B38">Kaundun, 2014</xref>). The first two crucial phases of detoxification are mediated by members of the cytochrome P450 (CYP450) enzyme family (<xref ref-type="bibr" rid="B50">Manabe et al., 2007</xref>; <xref ref-type="bibr" rid="B25">Gaines et al., 2014</xref>; <xref ref-type="bibr" rid="B37">Iwakami et al., 2014</xref>) and both glutathione-<italic>S</italic>-transferase (GST; <xref ref-type="bibr" rid="B13">Cummins et al., 1999</xref>, <xref ref-type="bibr" rid="B14">2013</xref>; <xref ref-type="bibr" rid="B75">Skipsey et al., 2011</xref>) and glucosyl transferase (GT; <xref ref-type="bibr" rid="B4">Baerson et al., 2005</xref>; <xref ref-type="bibr" rid="B26">Gardin et al., 2015</xref>; <xref ref-type="bibr" rid="B83">Xu et al., 2015</xref>) play key roles in the conjugation of the herbicide. Different genes from all three families (CYP450, GST, and GT) have been found to be up-regulated in herbicide-resistant grass weed populations such as <italic>Lolium rigidum</italic> (<xref ref-type="bibr" rid="B25">Gaines et al., 2014</xref>; <xref ref-type="bibr" rid="B18">Duhoux et al., 2015</xref>), <italic>Alopecurus myosuroides</italic> (<xref ref-type="bibr" rid="B26">Gardin et al., 2015</xref>), and <italic>Eleusine indica</italic> (<xref ref-type="bibr" rid="B2">An et al., 2014</xref>; <xref ref-type="bibr" rid="B12">Chen et al., 2015</xref>).</p>
<p>Environmental conditions such as temperature can affect the retention, penetration and movement of herbicides through the plant and can also modify plants growth and development, indirectly affecting herbicide activity within the plant (e.g., <xref ref-type="bibr" rid="B30">Hammerton, 1967</xref>; <xref ref-type="bibr" rid="B9">Caseley, 1989</xref>; <xref ref-type="bibr" rid="B72">Rubin, 1991</xref>; <xref ref-type="bibr" rid="B78">Sundby et al., 1993</xref>; <xref ref-type="bibr" rid="B70">Robinson et al., 2015</xref>). Temperature may modify the response of plants to herbicides with different modes of action (<xref ref-type="bibr" rid="B34">HRAC, 2017</xref>). This phenomenon has been demonstrated in the effect of paraquat (group D) on <italic>Hordeum glaucum</italic> (<xref ref-type="bibr" rid="B46">Lasat et al., 1996</xref>), the effect of glyphosate (group G) on <italic>Conyza</italic> sp. (<xref ref-type="bibr" rid="B43">Kleinman et al., 2015</xref>), the effect of mesotrione (group F) on <italic>Amaranthus palmeri</italic> (<xref ref-type="bibr" rid="B27">Godar et al., 2015</xref>), and the effect of pinoxaden (group A) on <italic>Brachypodium hybridum</italic> (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>).</p>
<p><italic>Brachypodium</italic>, a small annual grass species, native to the Mediterranean region, is a valuable model system for a variety of biological processes and genome organization in cereals (reviewed by <xref ref-type="bibr" rid="B40">Kellogg, 2015</xref>). In recent years, it has emerged as a powerful model plant for the study of herbicide resistance in grass weeds (e.g., <xref ref-type="bibr" rid="B29">Gressel et al., 1983</xref>; <xref ref-type="bibr" rid="B51">Matzrafi et al., 2014</xref>; <xref ref-type="bibr" rid="B22">Frenkel et al., 2017</xref>). Recently, we demonstrated that elevated temperatures result in increased tolerance to ACCase inhibitors in various grass weed species (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>). Here, we employed a system biology approach to uncover the transcriptional basis of temperature-dependent NTS resistance mechanism. We hypothesized that temperature-dependent herbicide detoxification is facilitated by enhanced enzymatic efficiency at elevated temperatures. Previously, we have identified a <italic>B. hybridum</italic> accession, presenting temperature-dependent resistant to pinoxaden (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>). The aims of the current study were to: (i) characterize the transcriptional differences between pinoxaden-treated and untreated plants under different temperatures, (ii) elucidate the biological processes that are associated with temperature-dependent herbicide detoxification, and (iii) examine the role of metabolism-related genes known to be involved in herbicide resistance in temperature-dependent pinoxaden resistance in <italic>B. hybridum</italic>.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Plant Material and Growth Conditions</title>
<p>Seeds of <italic>B. hybridum</italic> accession BrI-782 (temperature-dependent NTS-resistant to the ACCase inhibitor pinoxaden; <xref ref-type="bibr" rid="B51">Matzrafi et al., 2014</xref>) were germinated in trays filled with growth mixture (Pele-Shacham, Israel). The trays were placed in a dark, cold room (16&#x00B0;C) until germination. After emergence, uniform seedlings were transplanted into pots (7 cm &#x00D7; 7 cm &#x00D7; 6 cm) containing similar growth mixture and transferred to a phytotron where they were kept under natural Mediterranean growth conditions [10/16&#x00B0;C (night/day), 10 h of light]. Two temperature regimes were used in this study: control [10/16&#x00B0;C (night/day)] and high temperature [28/34&#x00B0;C (night/day)].</p>
<p>At the three-leaf stage (BBCH scale 13; <xref ref-type="bibr" rid="B32">Hong et al., 2011</xref>), plants were treated with either water (control) or the recommended dose of the ACCase inhibitor pinoxaden (Axial<sup>&#x00AE;</sup>, 50 g L<sup>-1</sup> pinoxaden + 11.25 g L<sup>-1</sup> cloquintocet-mexyl, EC, Syngenta, Switzerland; X = recommended dose of 30 g ai ha<sup>-1</sup>). The treatment was applied using a chain-driven sprayer delivering 300 L ha<sup>-1</sup>. One hour after treatment (HAT), plants were moved back to the phytotron and each plant was assigned to one of two temperature regimes: control or high. In each room, 10 plants (five treated with pinoxaden and five treated with water) were kept for 21 days after treatment (DAT). Survival rates were visually assessed and shoot fresh weight was measured.</p>
</sec>
<sec><title>Sample Preparation and RNA Sequencing</title>
<p>Samples of fresh shoot tissue were collected from treated and untreated plants at 24 HAT (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>), immediately frozen in liquid nitrogen and stored at -80&#x00B0;C. RNA-seq analysis was conducted using three plants from each of the following treatments: control (C), pinoxaden application (X), high-temperature (H) and the combination of pinoxaden and high-temperature (HX; <bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). Total RNA was extracted using a Plant/Fungi Total RNA Purification Kit (Norgen Biotek Corp., Canada). Total RNA was treated with TURBODNase<sup>&#x00AE;</sup> (RNase-Free; Ambion, Warrington, United Kingdom) to eliminate DNA contamination. RNA was quantified using a NanoDrop (ND-1000) spectrophotometer (Thermo Scientific, Wilmington, DE, United States) and RNA integrity and quality were assessed with a 2100 Bioanalyzer (Agilent Technologies Inc., Germany). Additional data concerning sample quality and other parameters are presented in Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>(A)</bold> Experimental design and final phenotypes of <italic>Brachypodium hybridum</italic> plants (accession BrI-782) grown under control (C, 10/16&#x00B0;C day/night) and high-temperature (H, 28/34&#x00B0;C) conditions. Plants were sprayed with pinoxaden (X) or water at the three-leaf stage; RNA-seq samples were taken 24 h after application. Plant survival rates were determined 21 days after pinoxaden application. <bold>(B)</bold> Principal-component (PC) analysis of rlog transformed gene expression data, generated by RNA-sequencing. Each treatment contains three biological repeats and is indicated by a different color. <bold>(C)</bold> Venn diagram of differentially expressed genes (DEGs) from all three treatments.</p></caption>
<graphic xlink:href="fpls-08-01064-g001.tif"/>
</fig>
<p>cDNA libraries were generated using a NEBNext Ultra Directional RNA Prep Kit (New England Biolabs, Ipswich, MA, United States), following the manufacturer&#x2019;s instructions. After verifying their quality, libraries were indexed with six-nucleotide barcodes and sequencing was performed on the Illumina HiSeq2000 machine using multiplexing for generating 50 base-paired (bp) end reads. Sequencing was carried out at the Technion Genome Center (Haifa, Israel).</p>
</sec>
<sec><title>RNA-Sequencing Analysis</title>
<p><italic>B. hybridum</italic> transcript levels were obtained from HiSeq2000 machine using a custom computational pipeline. Briefly, 50 bp end reads were trimmed and quality-filtered using Trimmomatic (<xref ref-type="bibr" rid="B5">Bolger et al., 2014</xref>) and then mapped to the <italic>B. distachyon</italic> genome (<xref ref-type="bibr" rid="B36">International Brachypodium Initiative, 2010</xref>), version 3.0 using Tophat (<xref ref-type="bibr" rid="B41">Kim D. et al., 2013</xref>). Tophat was run with a maximum intron length of 10,000 bases to reduce the likelihood of false positives (<xref ref-type="bibr" rid="B81">Walters et al., 2013</xref>). The mean percentages of overall mapped reads and multiple mapped reads across samples were 80 and 5%, respectively. Mapped reads were then checked for overlap with JGI v3.1<sup><xref ref-type="fn" rid="fn01">1</xref></sup> gene exons using htseq-count (<xref ref-type="bibr" rid="B3">Anders et al., 2015</xref>). The mean percentage of reads overlapping (a known feature across samples) was 90%. We then used DESeq2 (<xref ref-type="bibr" rid="B49">Love et al., 2014</xref>) to detect differentially expressed genes (DEGs) among samples from the different experimental treatments (high-temperature, pinoxaden and their combination) and the control. Data is presented as log2 of fold-change values (log2FC). For DEG analysis we considered genes that were significant at false discovery rate (FDR) &#x2264; 5%.</p>
</sec>
<sec><title>Functional Annotation of Transcriptome Analysis</title>
<p>Differentially expressed genes were analyzed using hierarchical clustering and divided into parallel plots using the JMP (ver. 12) statistical package (SAS Institute Inc., Cary, NC, United States). Genes that were highly up-regulated under HX treatment were annotated with MapMan software (<xref ref-type="bibr" rid="B80">Thimm et al., 2004</xref>) using a functional data base containing 32,031 different assigned identifiers, with more than 35 general biological processes matching the <italic>B. distachyon</italic> genome (<xref ref-type="bibr" rid="B36">International Brachypodium Initiative, 2010</xref>). Pathway-enrichment analysis was performed with FunRich, a functional enrichment analysis software tool<sup><xref ref-type="fn" rid="fn02">2</xref></sup> (FDR &#x2264; 0.05; <xref ref-type="bibr" rid="B64">Pathan et al., 2015</xref>), using MapMan annotation as reference data (<xref ref-type="bibr" rid="B80">Thimm et al., 2004</xref>).</p>
</sec>
<sec><title>Quantitative PCR</title>
<p>RNA samples used for RNA-seq analysis (<italic>n</italic> = 3) as well as additional three plants that were grown and treated with the plants selected for RNA-seq analysis were used for qPCR validation (<italic>n</italic> = 6). First-strand cDNA was synthesized using qScript<sup>TM</sup> cDNA Synthesis Kit (Quanta Biosciences Inc., United States), following the manufacturer&#x2019;s instructions. qPCR was carried out using PerfeCTa<sup>&#x00AE;</sup> SYBR<sup>&#x00AE;</sup> Green FastMix<sup>&#x00AE;</sup> (Quanta Biosciences Inc., United States) in a PikoReal RT-PCR system (Thermo Fisher Scientific Inc., United States). Gene-specific primers were designed using Primer3 software (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S2</xref>). PCR mixtures included 2 &#x03BC;L of cDNA (diluted by four), 8 &#x03BC;L of SYBR Mix, and 300 nM of each primer in a final volume of 10 &#x03BC;L. The 2<sup>-&#x0394;&#x0394;CT</sup> method (<xref ref-type="bibr" rid="B48">Livak and Schmittgen, 2001</xref>) was used for the normalization and calibration processes. Transcript values were relatively tested compared to the housekeeping gene <italic>S</italic>-adenosylmethionine decarboxylase (SamDC, BRADI2G02580; <xref ref-type="bibr" rid="B33">Hong et al., 2008</xref>), whose expression was not affected by the herbicide and&#x2216;or high-temperature treatment.</p>
</sec>
<sec><title>ROS Staining and Imaging</title>
<p>Plants of <italic>B. hybridum</italic> accession BrI-782 were grown under controlled conditions, as described above. At the three-leaf stage, plants were treated with the recommended dose of pinoxaden as described above. Treated and untreated plants were transferred back to controlled conditions or subjected to a high-temperature regime. The experiment was conducted three times using three replicates for each treatment. ROS measurements were taken at 2, 8, and 24 HAT. Dichlorodihydrofluorescein diacetate (H<sub>2</sub>DCF-DA) was used as a probe for H<sub>2</sub>O<sub>2</sub>/peroxides as described previously (<xref ref-type="bibr" rid="B65">Pena et al., 2012</xref>). A 50 &#x03BC;M stock of H<sub>2</sub>DCF-DA was prepared in DMSO, diluted (1:9) in a 10 mM Tris-HCl (pH 7.4) and non-ionic surfactant (Spreader L77, ADAMA-Agan, Israel) at 0.05% v/v was added. The second leaf of each plant was cut and covered with aluminum foil, to prevent light exposure for 30 min, during which time the leaf was kept at room temperature. Leaves were than washed three times with 10 mM Tris-Hcl (pH 7.4). Fluorescent stereoscope images were captured using a Nikon SMZ1500 (Nikon, Japan) zoom stereoscope, with an excitation filter of 450&#x2013;490 nm and a barrier filter of 510 nm, which was used to detect H<sub>2</sub>DCFDA green fluorescence. Images were captured with a color camera (DS RI1, Nikon, Japan) operated with NIS Elements V3 software (Nikon, Japan). Exposure times were equal for all samples. Autofluorescence was not observed in unstained controls at the exposure time used. Leaf fluorescence was quantified using ImageJ software (ver. 1.63; U.S. National Institutes of Health).</p>
</sec>
<sec><title>Accession Number</title>
<p>Raw sequencing files of mRNA sequencing are available at the short read archive of the National Center for Biotechnology Information (<ext-link ext-link-type="uri" xlink:href="https://trace.ncbi.nlm.nih.gov/Traces/sra">https://trace.ncbi.nlm.nih.gov/Traces/sra</ext-link>) under accession number <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA360668">PRJNA360668</ext-link>.</p>
</sec>
</sec>
<sec><title>Results</title>
<p>As a native Mediterranean temperate grass species, <italic>B. hybridum</italic> grows during the winter season (November to April). Under control conditions (10/16&#x00B0;C, night/day), which mimic the Mediterranean winter, BrI-782 plants showed a higher sensitivity to pinoxaden that was manifested by lower shoot fresh weights (21%) and a lower survival rate, as compared with treated plants grown under high-temperature (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S3</xref>). We hypothesized that the significant differences in plant response to pinoxaden under contrasting temperature regimes may be the result of temperature-dependent transcriptional modifications. In order to test our hypothesis, we used RNA-seq to detect the temperature-dependent differences in transcripts, pathways and mechanisms between pinoxaden-sensitive and pinoxaden-resistant plants.</p>
<sec><title>RNA-Seq Data</title>
<p>A total of 257 million raw reads were generated from the 12 libraries (three biological replicates for each of the four treatments). After removing reads containing adaptor or ploy-N and low-quality reads, 208 million clean reads were obtained with 13.4&#x2013;18.6 million reads per sample. In the absence of a fully sequenced <italic>B. hybridum</italic> genome, the annotation procedure was carried using the <italic>B. distachyon</italic> database. Our <italic>B. hybridum</italic> samples scored 80.6% mapped reads and 87.2% featured contigs (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>). Principal-component analysis was used to assess the variability among biological replicates and treatments. Within each treatment, the three biological replicates showed a high degree of similarity to one another and formed an independent cluster. Among the treatments, application of herbicide either alone or in combination with high-temperature resulted in a separation of the control and high-temperature treatments. This separation explained 61% of the total experimental variance (<bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>).</p>
<p>The number of DEGs between each treatment and control conditions ranged between 11,305 for the combination of herbicide and high-temperature, 9,253 for the herbicide application, and 8,659 for the high-temperature treatment (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S4</xref>). A search for common DEGs among all treatments yielded 3,219 genes. The combined herbicide and high-temperature treatment was very similar to both the herbicide application and the high-temperature treatment with 3,115 and 3,059 common DEGs, respectively (<bold>Figure <xref ref-type="fig" rid="F1">1C</xref></bold>). The similarity of the combination treatment to the other two single treatments correlates with the dual effect of both stress factors together. The combination of herbicide and high-temperature had the highest number of up-regulated DEGs (5,377), as compared to the herbicide application (4,415) and the high-temperature treatment (3,822; Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S4</xref>).</p>
</sec>
<sec><title>Biological Process Analysis</title>
<p>The pattern of gene expression was analyzed using hierarchical clustering of 3,129 common DEGs across all treatments. DEGs were classified into 25 groups by parallel plots (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>), which enabled us to identify specific trends in gene expression. Assuming that over-expression of DEGs can lead to enhanced herbicide detoxification (<xref ref-type="bibr" rid="B16">D&#x00E9;lye, 2013</xref>), we focused on groups that included DEGs that were up-regulated mainly in the combined treatment (groups 4 and 14 in <bold>Figures <xref ref-type="fig" rid="F2">2A,B</xref></bold>, respectively; Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>). Up-regulation of genes from both plots was slightly different, as plot 4 showed greater differences in the combined treatment, as compared with plot 14 (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>). Enrichment analysis was conducted to identify key biological processes related to temperature-dependent pinoxaden detoxification. Both groups included genes associated with protein, RNA, stress, and transport (<bold>Figures <xref ref-type="fig" rid="F2">2A,B</xref></bold>). Examination of specific pathways within each category showed that both groups were enriched with genes associated with oxygenase activity (<italic>P</italic> = 0.03, <italic>P</italic> &#x003C; 0.01, respectively) as well as conjugation-related pathways, including genes associated with UDP-glucosyl and glucuronyl transferase (<italic>P</italic> &#x003C; 0.01) and GST (<italic>P</italic> &#x003C; 0.01; <bold>Figures <xref ref-type="fig" rid="F2">2A,B</xref></bold>). Genes associated with ABC transporters and multidrug resistance, representative of the final stage in herbicide detoxification, were also significantly enriched (<italic>P</italic> = 0.05; <bold>Figure <xref ref-type="fig" rid="F2">2B</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Functional classification of significantly (FDR &#x2264; 0.05) up-regulated genes in pinoxaden-treated plants under high-temperature regime, compared with the two other treatments (pinoxaden and high-temperature). All genes were divided into 25 groups using hierarchal clustering analysis according to the expression pattern of all three treatments. Two clusters, <bold>(A)</bold> 4 and <bold>(B)</bold> 14, were chosen as representative trends for up-regulated genes. Doughnut charts were produced based on MapMan annotations and the FunRich platform.</p></caption>
<graphic xlink:href="fpls-08-01064-g002.tif"/>
</fig>
</sec>
<sec><title>Candidate Metabolic-Resistance Genes</title>
<p>Herbicide metabolism is generally composed of four different phases, systematically rendering the herbicide molecule into a non-toxic product (<xref ref-type="bibr" rid="B8">Carvalho et al., 2009</xref>). We identified DEGs that are involved in these processes (FDR &#x2264; 0.05) and used qPCR to validate their expression levels under the different treatments (Supplementary Figure <xref ref-type="supplementary-material" rid="SM2">S1</xref>). Two DEGs, Bradi2g44160 and Bradi2g44200, were annotated as members of the CYP72A subfamily, which are associated with the first phase of herbicide metabolism. Genes of this subfamily were recently reported to be up-regulated in <italic>L. rigidum</italic> plants resistant to an ACCase inhibitor (<xref ref-type="bibr" rid="B25">Gaines et al., 2014</xref>). In our study, these genes were highly up-regulated (log<sub>2</sub>FC > 7.9) under both the herbicide application and the combination of herbicide and high-temperature treatments (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S6</xref>). Other genes involved in CYP450 catalytic activity encode for NADP enzymes (<xref ref-type="bibr" rid="B15">Davydov, 2001</xref>), which were also found to play a role in the process of ROS quenching (<xref ref-type="bibr" rid="B7">Buchanan et al., 2006</xref>). NAD(P)-linked oxidoreductase (Bradi3g48197) was up-regulated with log<sub>2</sub>FC values of 3.3 and 4.6 under high-temperature and combination of herbicide and high-temperature treatments, respectively (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>). Additional CYP450 genes, CYP96A10 (Bradi3g19220) and CYP79B2 (Bradi1g15695), were up-regulated only in the combination of herbicide and high-temperature, but at lower levels than the CYP72A genes (log<sub>2</sub>FC &#x003C; 2.6; <bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S6</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Heatmap of herbicide-associated genes among the different treatments relative to control conditions. X, pinoxaden; H, high-temperature, and HX, combination of high-temperature and pinoxaden. <bold>(A)</bold> Cytochrome P450, <bold>(B)</bold> UDP-glucosyl and glucuronyl transferase, <bold>(C)</bold> glutathione-<italic>S</italic>-transferase, and <bold>(D)</bold> peroxidase. Blue and red colors represent low and high relative expression compared with the mean value of expression across all samples, respectively. Scale is log<sub>2</sub> of mean expression value.</p></caption>
<graphic xlink:href="fpls-08-01064-g003.tif"/>
</fig>
<p>With regard to the second phase of herbicide metabolism, DEGs involved in GT processes, UDP-glucosyl and glycosyl transferase (UDPGT); UDPGT88A1 (Bradi2g49067), UDPGT73B5 (Bradi2g44820), and UDPGT85A2 (Bradi3g46855) were up-regulated under herbicide application and the combination of herbicide and high-temperature (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S7</xref>). Another major group of second-phase-related genes, GSTs, were also examined. GST DEGs (Bradi3g31777, Bradi3g61100 and others) were up-regulated in response to both herbicide treatments (herbicide application and combination of herbicide and high-temperature; <bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S8</xref>). The trends observed in the RNA-seq experiment for these genes were also observed in the qPCR analysis (Supplementary Figure <xref ref-type="supplementary-material" rid="SM2">S1</xref>).</p>
</sec>
<sec><title>ROS Accumulation in Response to Different Treatments</title>
<p>CYP450 activity, which produces ROS, is also regulated by the accumulation of ROS (<xref ref-type="bibr" rid="B15">Davydov, 2001</xref>; <xref ref-type="bibr" rid="B61">Narusaka et al., 2004</xref>; <xref ref-type="bibr" rid="B54">McIntosh et al., 2014</xref>). Peroxidases are known to act as part of ROS neutralization mechanisms (<xref ref-type="bibr" rid="B56">Meunier and Bernadou, 2000</xref>). A high expression of two DEGs (Bradi5g24200 and Bradi4g25660), annotated as peroxidases, was detected only under the combination of herbicide and high-temperature (log<sub>2</sub>FC > 3.5; <bold>Figure <xref ref-type="fig" rid="F3">3D</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S9</xref>). The multiprotein bridging factor 1C (MBF) was previously described as a key regulatory element linking ROS signaling to stress responses (<xref ref-type="bibr" rid="B57">Miller et al., 2008</xref>). MBF (Bradi1g37080) showed a higher expression level under the combination of herbicide and high-temperature, as compared with the other treatments (herbicide application and high-temperature treatments) with log<sub>2</sub>FC values of 8.1, 6.6 and 7.4, respectively (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>). This trend can be correlated with greater activity of CYP450 enzymes, leading to more ROS neutralization, as part of the herbicide-resistance mechanism.</p>
<p>To learn more about the role of ROS in the herbicide-resistance mechanism, ROS staining was conducted and the patterns of ROS accumulation among the different treatments were examined. ROS quantities did not differ significantly among the different treatments at 2 and 8 HAT. However, at 24 HAT, plants subjected to the combination of herbicide and high-temperature had ROS levels that were significantly lower than those detected under control conditions (<bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold> and Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S10</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Visual presentation of the accumulation of reactive oxygen species using H<sub>2</sub>DCF-DA dye. Plants were treated with: pinoxaden, high-temperature (28/34&#x00B0;C) and high-temperature and pinoxaden application. Photos were taken 2, 8, and 24 h after herbicide application.</p></caption>
<graphic xlink:href="fpls-08-01064-g004.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Elevated temperatures have been shown to have a direct effect on the level of NTS herbicide resistance in various weed species (<xref ref-type="bibr" rid="B27">Godar et al., 2015</xref>; <xref ref-type="bibr" rid="B43">Kleinman et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>). Here, we describe for the first time the transcriptional basis of a temperature-dependent NTS herbicide-resistance mechanism in <italic>B. hybridum</italic> and reveal the importance of temperature in herbicide-related metabolic processes. Biochemical analysis of temperature-dependent pinoxaden detoxification suggests two main stages of oxidation and glucose conjugation as key steps in the resistance mechanism (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>). Exploring transcriptional-enriched pathways that were differentially regulated under the combination of herbicide and high-temperature revealed up-regulation of several known herbicide defense-related genes (e.g., oxygenases, GST, GT, and ABC transporters; <bold>Figures <xref ref-type="fig" rid="F2">2A,B</xref></bold>). The enrichment of these pathways reinforces previous findings and indicates a higher rate of pinoxaden metabolism at high-temperature. Members of the CYP72A subfamily that were previously identified as components of the mechanism of resistance to ACCase and acetolactate synthase inhibitors (<xref ref-type="bibr" rid="B25">Gaines et al., 2014</xref>; <xref ref-type="bibr" rid="B73">Saika et al., 2014</xref>) were also found to be highly expressed in pinoxaden-treated plants under both temperature regimes (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>). The abundance of genes from the CYP72A subfamily identified in different studies involving different inhibitors and weed species (<xref ref-type="bibr" rid="B35">Imaishi and Matumoto, 2007</xref>; <xref ref-type="bibr" rid="B25">Gaines et al., 2014</xref>; <xref ref-type="bibr" rid="B37">Iwakami et al., 2014</xref>; <xref ref-type="bibr" rid="B73">Saika et al., 2014</xref>) supports the assumption of their role in this mechanism of herbicide resistance. Previous studies suggested the involvement of GT activity in resistance to ACCase inhibitors (<xref ref-type="bibr" rid="B55">Menendez and De Prado, 1996</xref>; <xref ref-type="bibr" rid="B6">Brazier et al., 2002</xref>), which function mainly at the second phase of herbicide detoxification (<xref ref-type="bibr" rid="B53">McFadden et al., 1989</xref>; <xref ref-type="bibr" rid="B4">Baerson et al., 2005</xref>). Expression levels of different transcripts encoding CYP72A and UDPGT genes that were detected in our work can be associated with the formation of specific pinoxaden metabolites previously found in <italic>B. hybridum</italic> plants (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>). The detection of these DEGs following pinoxaden application in both temperature treatments (herbicide application and the combination of herbicide and high-temperature) suggests that the observed differences in plant response to pinoxaden are not solely due to the up-regulation of these genes. Further investigation of the role of the 2,099 DEGs that were found to be expressed only under pinoxaden treatment is needed to help to shed light on their role in herbicide response.</p>
<p>The catalytic activity of CYP450 enzymes includes the splitting of O<sub>2</sub> molecules to form a hydroxylated product (<xref ref-type="bibr" rid="B59">Munro et al., 2013</xref>). In this process, ROS are formed and transformed into H<sub>2</sub>O (<xref ref-type="bibr" rid="B15">Davydov, 2001</xref>; <xref ref-type="bibr" rid="B54">McIntosh et al., 2014</xref>). Both NADP and peroxidases were previously suggested to play a role in CYP450 catalytic activity and the quenching of ROS (<xref ref-type="bibr" rid="B15">Davydov, 2001</xref>; <xref ref-type="bibr" rid="B7">Buchanan et al., 2006</xref>). The up-regulation of NADP and peroxidases that was unique to the combination of herbicide and high-temperature treatment can be correlated with the rapid metabolism of pinoxaden leading to herbicide resistance. The direct damage caused by ROS following the application of herbicides that function as photosystem I and II inhibitors (<xref ref-type="bibr" rid="B24">Fujii et al., 1990</xref>; <xref ref-type="bibr" rid="B23">Fuerst and Norman, 1991</xref>) is well known. In studies of other types of herbicides, this phenomenon is less familiar, but over time, as in almost any other stress response, ROS will form. The significant reduction in ROS content 24 HAT under the combination of herbicide and high-temperature, as compared with all other treatments, may indicate more efficient metabolic activity of ROS scavengers at high-temperature.</p>
<p>Recent studies have suggested a new approach for understanding ROS activity, as ROS have been found to act as beneficial elements in the context of many physiological functions, such as programmed cell death and cellular proliferation (<xref ref-type="bibr" rid="B58">Mittler, 2016</xref>). In previous studies, ROS were shown to have an effect on the expression pattern of CYP450 enzymes, inducing the expression of CYP81D8 in <italic>Arabidopsis</italic> (<xref ref-type="bibr" rid="B17">Desikan et al., 2001</xref>). Over-expression of additional plant defense-related genes such as GSTs [involved in antioxidant stress, lipid peroxidation (<xref ref-type="bibr" rid="B14">Cummins et al., 2013</xref>), detoxification of ACCase inhibitors (<xref ref-type="bibr" rid="B19">Edwards and Cole, 1996</xref>; <xref ref-type="bibr" rid="B13">Cummins et al., 1999</xref>)], and MBF, which is involved in transcriptional co-activation of ROS signaling (<xref ref-type="bibr" rid="B57">Miller et al., 2008</xref>), were also detected the combination of herbicide and high-temperature treatment. Herbicide metabolism processes can also be associated with several chaperoning components related to regulatory elements and activating genes. Several HSP related DEGs, mainly HSP20 (Bradi3g58590 and Bradi1g44230), were highly expressed in response to high-temperature and combination of herbicide and high-temperature (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>). It can be hypothesized that this high expression is part of a general stress response (<xref ref-type="bibr" rid="B82">Waters, 2013</xref>), yet variation in the level of expression can suggest different activation rate of downstream resistance related components. High expression of regulatory element such as NAC related genes (Bradi1g63600 and Bradi4g44000), involved in response to biotic and abiotic stress responses (<xref ref-type="bibr" rid="B69">Puranik et al., 2012</xref>), was also found. Activators such as protein kinase (Bradi1g65930) and Calcium-binding (Bradi1g53830 and Bradi4g30100) related DEGs (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S5</xref>) were highly expressed under herbicide application. These genes can be correlated to the function of peroxidases and other enzymes related to herbicide detoxification processes (<xref ref-type="bibr" rid="B42">Kim Y.S. et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Alberto et al., 2016</xref>). Our results suggest an orchestrated regulation, at the transcriptional and biochemical levels that facilitates temperature-dependent pinoxaden resistance, which is activated upon application of pinoxaden at high-temperature. These factors encourage a rapid and efficient pinoxaden detoxification that eventually results in plant survival.</p>
<p>Monooxygenation activity of CYP72A genes has been widely discussed in the context of herbicide resistance (<xref ref-type="bibr" rid="B66">Prall et al., 2016</xref>). However, only plants subjected to high-temperature survived pinoxaden treatment. Thus, the expression of CYP450 genes may not be related to their monooxygenation activity. On the other hand, temperature has been shown to play a key role in the enzymatic efficiency of CYP450 (<xref ref-type="bibr" rid="B68">Puntarulo and Cederbaum, 1989</xref>; <xref ref-type="bibr" rid="B67">Puchkaev et al., 2002</xref>). These findings help to explain the differences in plant survival between herbicide application and the combination of herbicide and high-temperature, as pinoxaden was rapidly metabolized only under high-temperature.</p>
</sec>
<sec><title>Conclusion</title>
<p>Our previous (<xref ref-type="bibr" rid="B52">Matzrafi et al., 2016</xref>) and current results on temperature-dependent herbicide resistance have emphasized the evolutionary effect of climate change on herbicide resistance and, by extension, global agriculture. We propose that temperature-dependent pinoxaden resistance may be affected more by enzymatic efficiency than by gene regulation. It is suggested that the over-expression of metabolic-related genes (CYP72A, GST and GT) is not sufficient for effective herbicide metabolism, as was previously suggested. While previous studies, quantified levels of gene expression based on comparisons between sensitive and resistant populations (i.e., different genetic background), here we used sensitive and resistant plants with the same genetic background (Accession BrI-782). It could be argued that the differences found in the current study were not detected in previous studies, due to the differences in genetic backgrounds. Thus, our strategy enabled to improve our understanding on NTS resistance mechanism under climate change. Exploring the mechanism of temperature-dependent resistance in various weed species may reveal further hub genes and up-stream regulators that affect NTS resistance.</p>
</sec>
<sec><title>Author Contributions</title>
<p>MM designed and conducted experiments. MM and LS-M analyzed the data and drafted the paper. BR and ZP designed experiments and wrote the paper. All authors read and approved the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<p>This study was supported by the Chief Scientist of the Israeli Ministry of Agriculture. The authors would like to thank Drs. R. Hayuka and M. Sibony for their assistance with the experiments and data analysis. MM is indebted to the Teomim doctoral fellowships awards. LS-M is indebted to The Israeli President&#x2019;s Scholarship for Scientific Excellence and Innovation.</p>
</ack>
<sec sec-type="supplementary material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fpls.2017.01064/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fpls.2017.01064/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Presentation_1.PDF" id="SM2" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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