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An ancient integration in a plant NLR is maintained as a trans-species polymorphism

Main text Main text Methods Author contributions Competing interests References Plant immune receptors are under constant selective pressure to maintain resistance to plant pathogens. Nucleotide-binding leucine-rich repeat (NLR) proteins are one class of cytoplasmic immune receptors whose genes commonly show signatures of adaptive evolution1,2. While it is known that balancing selection contributes to maintaining high intraspecific allelic diversity, the evolutionary mechanism that influences the transmission of alleles during speciation remains unclear. The barley Mla locus has over 30 described alleles conferring isolate-specific resistance to barley powdery mildew and contains three NLR families (RGH1, RGH2, and RGH3)3. We discov ...

plant biology

Image-based tracking of ripening in wheat cultivar mixtures: a quantifying approach parallel to the conventional phenology

The lack of quantitative methods independent of the conventional qualitative phenology, may be a vital limiting factor to evaluate the temporal trends in the crop growth cycle, particularly in the heterogeneous canopies of cultivar mixtures. A digital camera used to take ground-based nadir images during two years of a field experiment conducted at the College of Agriculture, Shiraz University, Iran; in 2014-15 and 2015-16. The experimental treatments consisted of 4 early- to middle-ripening wheat cultivars and their 10 mixtures, under post-anthesis well- and deficit-irrigation conditions, arranged in a randomized complete block design with 3 replicates. Then the images were processed and three image-derived indices including CC (canopy cover), GR [(G-R/G); RGB color system], and CCGR (CCxGR) were used as the quantifying criteria. The declining trends of these indices during ripening showed strong fits to binomial equations, based on which simple prediction models were suggested and validated. Furthermore, the split linear trends and their slopes were estimated to assess the short-term variations. Some agronomic aspects were also evidenced using the mixtures-monoculture diversions, and the relationship between CC and GR. The frameworks evaluated appears to provide the reliable and simple solutions for quantifying the crop temporal trends parallel to the conventional phenology.

plant biology

Decoding the gene co-expression network underlying the ability of Gevuina avellana Mol. to live in diverse light conditions

O_LIGevuina avellana Mol. (Proteaceae) is a typical tree from the South American temperate rainforest. Although this species mostly regenerates in shaded understories, it exhibits an exceptional ecological breadth, being able to live under a wide range of light conditions. Here we studied the genetic basis regulating physiological acclimation of the photosynthetic responses of G. avellana under contrasting light conditions.\nC_LIO_LIWe analyzed carbon assimilation and light energy used for photochemical process in plants acclimated to contrasting light conditions. Also, we used a transcriptional profile of leaf primordia from G. avellana saplings growing under different light environments to identify the gene co-expression network underpinning photosynthetic performance and light-related processes.\nC_LIO_LIThe photosynthetic parameters revealed optimal performance regardless of light conditions. Strikingly, the mechanism involved in dissipation of excess light energy showed no significant differences between high and low-light acclimated plants. The gene co-expression network defined a community structure consistent with the photochemical responses, including genes involved mainly in assembly and functioning of photosystems, photoprotection, and retrograde signaling.\nC_LIO_LIOur ecophysiological genomics approach provides an understanding of the molecular regulatory mechanisms that allows this tree to have an optimal balance between photochemical, photoprotective and antioxidant performance in the diverse light habitats it encounters in nature.\nC_LI

plant biology

NRT1.1-dependent NH4+ toxicity in Arabidopsis is associated with disturbed balance between NH4+ uptake and assimilation

A high concentration of a sole ammonium (NH4+) source in growth media is often toxic to plants. The nitrate transporter NRT1.1 is involved in plant NH4+ toxicity; however, its mechanism remains undefined. In this study, wild-type Arabidopsis (Col-0) and NRT1.1 mutants (chl1-1 and chl1-5) were grown hydroponically in NH4NO3 and (NH4)2SO4 media to evaluate NRT1.1 function in NH4+ stress responses. All plants grew normally in mixed N sources, but Col-0 displayed more chlorosis, and lower biomass and photosynthesis than the NRT1.1 mutants in the (NH4)2SO4 condition. Grafting experiments between Col-0 and chl1-5 further confirmed that NH4+ toxicity is NRT1.1-dependent. In (NH4)2SO4 medium, NRT1.1 facilitated the higher expression of NH4+ transporters, increasing NH4+ uptake. Additionally, glutamine synthetase (GS) and glutamate synthetase (GOGAT) in roots of Col-0 plants decreased and soluble sugar accumulated significantly, whereas pyruvate kinase (PK)-mediated glycolysis was not affected, all of which contributed to NH4+ accumulation. In contrast, the NRT1.1 mutants reduced NH4+ accumulation and enhanced NH4+ assimilation through glutamate dehydrogenase (GDH) and glutamate-oxaloacetate transamination (GOT) activity. In addition, the upregulation of genes involved in senescence in Col-0 plants treated with (NH4)2SO4 suggests that ethylene could be involved in NH4+ toxicity responses. Our results indicate that NH4+ toxicity is dependent on NRT1.1 in Arabidopsis, characterized by enhanced NH4+ accumulation and by perturbed NH4+ metabolism, which stimulated ethylene-induced plant senescence.\n\nHighlight: Nitrate transporter NRT1.1 enhances NH4+ accumulation, disturbs the NH4+ metabolism, and aggravates NH4+ toxicity in Arabidopsis when grown under sole NH4+ condition.

plant biology

Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome

Plants obtain elements from the soil through genetic and biochemical pathways responsive to physiological state and environment. Most perturbations affect multiple elements which leads the ionome, the full complement of mineral nutrients in an organism, to vary as an integrated network rather than a set of distinct single elements. To examine the genetic basis of covariation in the accumulation of multiple elements, we analyzed maize kernel ionomes from Intermated B73 x Mo17 (IBM) recombinant inbred populations grown in 10 environments. We compared quantitative trait loci (QTL) determining single-element variation to QTL that predict variation in principal components (PCs) of multiple-element covariance. Single-element and multivariate approaches detected partially overlapping sets of loci. In addition to loci co-localizing with single-element QTL, multivariate traits within environments were controlled by loci with significant multi-element effects not detectable using single-element traits. Gene-by-environment interactions underlying multiple-element covariance were identified through QTL analyses of principal component models of ionome variation. In addition to interactive effects, growth environment had a profound effect on the elemental profiles and multi-element phenotypes were significantly correlated with specific environmental variables.\n\nAuthor SummaryA multivariate approach to the analysis of element accumulation in the maize kernel shows that elements are not regulated independently. By describing relationships between element accumulation we identified new genetic loci invisible to single-element approaches. The mathematical combinations of elements distinguish groups of plants based on environment, demonstrating that observed variation derives from interactions between genetically controlled factors and environmental variables. These results suggest that successful application of ionomics to improve human nutrition and plant productivity requires simultaneous consideration of multiple-element effects and variation of such effects in response to environment.

plant biology

Identification of an arabinopyranosyltransferase from Physcomitrella patens involved in the synthesis of the hemicellulose xyloglucan

The hemicellulose xyloglucan consists of a backbone of a {beta}-1,4 glucan substituted with xylosyl moieties and many other, diverse sidechains that are important for its proper function. Many, but not all glycosyltransferases involved in the biosynthesis of xyloglucan have been identified. Here, we report the identification of an hitherto elusive xyloglucan:arabinopyranosyltransferase. This glycosyltransferase was isolated from the moss Physcomitrella patens, where it acts as a Xyloglucan \"D\"-side-chain Transferase (XDT). Heterologous expression of XDT in the Arabidopsis thaliana double mutant mur3.1 xlt2, where xyloglucan consists of a xylosylated glucan without further glycosyl substituents, results in the production of the arabinopyranose-containing \"D\" side chain as characterized by oligosaccharide mass profiling, glycosidic linkage analysis, and NMR analysis. In addition, expression of a related Physcomitrella glycosyltransferase hortholog of XLT2 leads to the production of the galactose-containing \"L\" side chain. The presence of the \"D\" and \"L\" xyloglucan side chains in PpXDT mur3.1 xlt2 and PpXLT2 mur3.1 xlt2 transgenic plants, respectively, rescue the dwarfed phenotype of untransformed mur3.1 xlt2 mutants to nearly wild-type height. Expression of PpXDT and PpXLT2 in the Arabidopsis mur3.1 xlt2 mutant also enhanced root growth.

plant biology

FabElm_BarcodeDb: matK barcode database of legumes

BackgroundDNA barcoding is an imperative implementation of chloroplast rbcL and matK regions exploited as standard molecular barcodes for species identification. MatK is highly conserved in plants and has been used extensively as a phylogenetic marker for classification of plants. In this study matK sequences of Leguminosae were retrieved for variant analysis and phylogentics. From online resources, maturase sequences were retrieved; redundant sequences and partials along with poor quality reads were filtered to compile 3639 complete non-redundant matK sequences and constructed into a database for ready reference. The database FabElm_BarcodeDb made available at app.bioelm.com was constructed using available sequence resources.\n\nResultsThe chloroplast genome of plants contains matK gene of 1500 bp, positioned between intron of trnK associated in-group II intron splicing. Mitochondrial matR and genomic matN sequences were compared with chloroplast matK. These maturase sequences share regions of homology with chloroplast and mitochondrial regions and are expected to be regulated by miRNA in producing splice variants contributing to speciation.\n\nConclusionBase substitution rates of nuclear maturase were comparable with mitochondrial maturase and are different from matK sequences. Hence, few identified species in this investigation were clustered with other tribes when analysed using matK. MatK is effective in resolving the species level variations as splicing contributes to speciation; but utilization of matK alone as a barcode marker for legumes is dubious, as it could not resolve some species identity.\n\nAbbreviations

plant biology

Green trend of light extinction in canopy: new construction on image mining

Efficient quantification of the sophisticated shading patterns inside the 3D vegetation canopies may improve our understanding of canopy functions and status, which is possible now more than ever, thanks to the high-throughput phenotyping (HTP) platforms. In order to evaluate the option of quantitative characterization of shading patterns, a simple image mining technique named "green-gradient based canopy segmentation model (GSM)" was developed based on the relative variations in the level of RGB triplets under different illuminations. For this purpose, an archive of ground-based nadir images of heterogeneous wheat canopies (cultivar mixtures) was analyzed. The images were taken from experimental plots of a two-year field experiment conducted during 2014-15 and 2015-16 growing seasons in the semi-arid region of southern Iran. In GSM, the vegetation pixels were categorized into the maximum possible number of 255 groups based on their green levels. Subsequently, mean red and mean blue levels of each group were calculated and plotted against the green levels. It is evidenced that the yielded graph could be readily used for (i) identifying and characterizing canopies even as simple as one or two equation(s); (ii) classification of canopy pixels in accordance with the degree of exposure to sunlight; and (iii) accurately prediction of various quantitative properties of canopy including canopy coverage (CC), Normalized difference vegetation index (NDVI), canopy temperature, and also precise classification of experimental plots based on the qualitative characteristics such as subjecting to water and cold stresses, date of imaging, and time of irrigation. It seems that the introduced model may provide a multipurpose HTP platform and open new windows to canopy studies.

plant biology

Targeted epigenomic changes to the maize methylome resulting from tissue culture

DNA methylation can contribute to the maintenance of genome integrity and regulation of gene expression. In most situations, DNA methylation patterns are inherited quite stably. However, changes in DNA methylation can occur at some loci as a result of tissue culture resulting in somaclonal variation. A sequence-capture bisulfite sequencing approach was implemented to monitor context-specific DNA methylation patterns in ~15Mb of the maize genome for a population of plants that had been regenerated from tissue culture. Plants that have been regenerated from tissue culture exhibit gains and losses of DNA methylation at a subset of genomic regions. There was evidence for a high rate of homozygous changes to DNA methylation levels that occur consistently in multiple independent tissue culture lines suggesting the existence of a targeted process for altering epigenetic state during tissue culture. The consistent changes induced by tissue culture include both gains and losses of DNA methylation and can affect CG, CHG or both contexts within a region. The majority of changes in DNA methylation exhibit stable inheritance although there is some evidence for stochastic reacquisition of the initial epigenetic state in some individuals. This study provides insights into the susceptibility of some loci and potential mechanisms that could contribute to altered DNA methylation and epigenetic state that occur during tissue culture in plant species.

plant biology

A Barley Powdery Mildew Fungus Non-Autonomous Retrotransposon Encodes a Peptide that Supports Penetration Success on Barley

Plant immunity is overcome by pathogens by the means of secreted effectors. Host effector targets might be proteins acting in pathogen defense or serve demands of the pathogen. The barley ROP GTPase HvRACB is involved in entry of the powdery mildew fungus Blumeria graminis f.sp. hordei (Bgh) into barley epidermal cells. We found that HvRACB interacts with the ROP-interactive peptide 1 (ROPIP1) that is encoded on the active non-long terminal repeat retroelement Eg-R1 of Bgh. Over-expression of ROPIP1 in barley epidermal cells and host-induced post-transcriptional gene silencing (HIGS) of ROPIP1 suggested that ROPIP1 is involved in virulence of Bgh. Bimolecular fluorescence complementation and co-localization supported that ROPIP1 can interact with activated HvRACB in planta. We show that ROPIP1 is expressed by Bgh on barley and translocated into the cytoplasm of infected barley cells. ROPIP1 is recruited to microtubules upon co-expression of MICROTUBULE ASSOCIATED ROP GTPase ACTIVATING PROTEIN (HvMAGAP1) and can destabilize cortical microtubules. Bgh ROPIP might target HvRACB and manipulate host cell microtubule organization for facilitated host cell entry. Data suggest a possible neo-functionalization of retroelement-derived transcripts for the evolution of a pathogen virulence effector.

plant biology

Root Responses to Heterogeneous Nitrate Availability are Mediated by trans-Zeatin in Arabidopsis Shoots

Plants are subjected to variable nitrogen (N) availability including frequent spatial nitrate (NO3-) heterogeneity in soil. Thus, plants constantly adapt their genome expression and root physiology in order to optimize N acquisition from this heterogeneous source. These adaptations rely on a complex and long-distance root-shoot-root signaling network that is still largely unknown. Here, we used a combination of reverse genetics, transcriptomic analysis, NO3- uptake experiments and hormone profiling under conditions of homogeneous or heterogeneous NO3- availability to characterize the systemic signaling involved. We demonstrate the important role of the trans-zeatin form of cytokinin (CK) in shoots, in particular using a mutant altered for ABCG14-mediated trans-zeatin-translocation from the root to the shoot, in mediating: (i) rapid long distance N-demand signaling and (ii) long term functional adaptations to heterogeneous NO3- supply, including changes in NO3- transport capacity and root growth modifications. We also provide insights into the potential CK-dependent and independent shoot-to-root signals involved in root adaptation to heterogeneous N availability.

plant biology

Reproductive phasiRNAs in grasses are compositionally distinct from other classes of small RNAs

Summary and keywordsO_LILittle is known about the characteristics and function of reproductive phased, secondary, small interfering RNAs (phasiRNAs) in the Poaceae, despite the availability of significant genomic resources, experimental data, and a growing number of computational tools. We utilized machine-learning methods to identify sequence-based and structural features that distinguish phasiRNAs in rice and maize from other small RNAs (sRNAs).\nC_LIO_LIWe developed Random Forest classifiers that can distinguish reproductive phasiRNAs from other sRNAs in complex sets of sequencing data, utilizing sequence-based (k-mers) and features describing position-specific sequence biases.\nC_LIO_LIThe classification performance attained is >80% in accuracy, sensitivity, specificity, and positive predicted value. Feature selection identified important features in both ends of phasiRNAs. We demonstrated that phasiRNAs have strand specificity and position-specific nucleotide biases potentially influencing AGO sorting; we also predicted targets to infer functions of phasiRNAs, and computationally-assessed their sequence characteristics relative to other sRNAs.\nC_LIO_LIOur results demonstrate that machine-learning methods effectively identify phasiRNAs despite the lack of characteristic features typically present in precursor loci of other small RNAs, such as sequence conservation or structural motifs. The 5-end features we identified provide insights into AGO-phasiRNA interactions; we describe a hypothetical model of competition for AGO loading between phasiRNAs of different nucleotide compositions.\nC_LI

plant biology

Homology-directed repair of a defective glabrous gene in Arabidopsis with Cas9-based gene targeting

The CRISPR/Cas9 system has emerged as a powerful tool for targeted genome editing in plants and beyond. Double-strand breaks induced by the Cas9 enzyme are repaired by the cells own repair machinery either by the non-homologous end joining pathway or by homologous recombination. While the first repair mechanism results in random mutations at the double-strand break site, homologous recombination uses the genetic information from a highly homologous repair template as blueprint for repair of the break. By offering an artificial repair template, this pathway can be exploited to introduce specific changes at a site of choice in the genome. However, frequencies of double-strand break repair by homologous recombination are very low. In this study, we compared two methods that have been reported to enhance frequencies of homologous recombination in plants. The first method boosts the repair template availability through the formation of viral replicons, the second method makes use of an in planta gene targeting approach. Additionally, we comparatively applied a nickase instead of a nuclease for target strand priming. To allow easy, visual detection of homologous recombination events, we aimed at restoring trichome formation in a glabrous Arabidopsis mutant by repairing a defective glabrous1 gene. Using this efficient visual marker, we were able to regenerate plants repaired by homologous recombination at frequencies of 0.12% using the in planta gene targeting approach, while both approaches using viral replicons did not yield any trichome-bearing plants.

plant biology

The histone variant H2A.Z and chromatin remodeler BRAHMA act coordinately and antagonistically to regulate transcription and nucleosome dynamics in Arabidopsis

Plants adapt to changes in their environment by regulating transcription and chromatin organization. The histone H2A variant H2A.Z and the SWI2/SNF2 ATPase BRAHMA have overlapping roles in positively and negatively regulating environmentally responsive genes in Arabidopsis, but the extent of this overlap was uncharacterized. Both have been associated with various changes in nucleosome positioning and stability in different contexts, but their specific roles in transcriptional regulation and chromatin organization need further characterization. We show that H2A.Z and BRM act both cooperatively and antagonistically to contribute directly to transcriptional repression and activation of genes involved in development and response to environmental stimuli. We identified 8 classes of genes that show distinct relationships between H2A.Z and BRM and their roles in transcription. We found that H2A.Z contributes to a range of different nucleosome properties, while BRM stabilizes nucleosomes where it binds and destabilizes and/or repositions flanking nucleosomes. H2A.Z and BRM contribute to +1 nucleosome destabilization, especially where they coordinately regulate transcription. We also found that at genes regulated by both BRM and H2A.Z, both factors overlap with the binding sites of light-regulated transcription factors PIF4, PIF5, and FRS9, and that some of the FRS9 binding sites are dependent on H2A.Z and BRM for accessibility. Collectively, we comprehensively characterized the antagonistic and cooperative contributions of H2A.Z and BRM to transcriptional regulation, and illuminated their interrelated roles in chromatin organization. The variability observed in their individual functions implies that both BRM and H2A.Z have more context-specific roles within diverse chromatin environments than previously assumed.

plant biology

The basis of accumulation differences in plant 21-nt reproductive phasiRNAs, and their cis-directed activity

O_LIPost-transcriptional gene silencing in plants results from independent activities of diverse small RNA types. In anthers of grasses, hundreds of loci yield non-coding RNAs that are processed into 21- and 24-nt phased small interfering RNAs (phasiRNAs); these are triggered by miR2118 and miR2275.\nC_LIO_LIWe characterized these \"reproductive phasiRNAs\" from rice panicles and anthers across seven developmental stages. Our computational analysis identified characteristics of the 21-nt reproductive phasiRNAs that impact their biogenesis, stability, and potential functions.\nC_LIO_LIWe demonstrate that 21-nt reproductive phasiRNAs can function in cis to target their own precursors. We observed evidence of this cis regulatory activity in both rice (Oryza sativa) and maize (Zea mays). We validated this activity with evidence of cleavage and a resulting shift in the pattern of phasiRNA production.\nC_LIO_LIWe characterize biases in phasiRNA biogenesis, demonstrating that the Pol II-derived \"top\" strand phasiRNAs are consistently higher abundance than the bottom strand. The first phasiRNA from each precursor overlaps the miR2118 target site, and this impacts phasiRNA accumulation or stability, evident in the weak accumulation of this phasiRNA position. Additional influences on this first phasiRNA duplex include the sequence composition and length, and we show that these factors impact Argonaute loading.\nC_LI

plant biology

Revisiting the functional properties of NPF6.3/NRT1.1/CHL1 in xenopus oocytes

Within the Arabidopsis NPF proteins, most of the characterized nitrate transporters are low-affinity transporters, whereas the functional characterization of NPF6.3/NRT1.1 has revealed interesting transport properties: the transport of nitrate and auxin, the eletrogenicity of the nitrate transport and a dual-affinity transport behavior for nitrate depending on external nitrate concentration. However, some of these properties remained controversial and were challenged here. We functionally express WT NPF6.3/NRT1.1 and some of its mutant in Xenopus oocytes and used a combination of uptake experiments using 15N-labelled nitrate and two-electrode voltage-clamp. In our experimental conditions in xenopus oocytes, in the presence or in the absence of external chloride, NPF6.3/NRT1.1 behaves as a non-electrogenic and pure low-affinity transporter. Moreover, further functional characterization of a NPF6.3/NRT1.1 point mutant, P492L, allowed us to hypothesize that NPF6.3/NRT1.1 is regulated by internal nitrate concentration and that the internal perception site involves the P492 residue.

plant biology

Integration of Brassinosteroid and Phytosulfokine Signalling Controls Vascular Cell Fate in the Arabidopsis Root

Multicellularity arose independently in plants and animals, but invariably requires robust determination and maintenance of cell fate. This is exemplified by the highly specialized water-and nutrient-conducting cells of the plant vasculature, which are specified long before their commitment to terminal differentiation. Here, we show that the hormone receptor BRASSINOSTEROID INSENSITIVE 1 (BRI1) is required for root vascular cell fate maintenance, as BRI1 mutants show ectopic xylem in procambial position. However, this phenotype is unrelated to classical brassinosteroid signalling outputs. Instead, BRI1 is required for the expression and function of its interaction partner RECEPTOR-LIKE PROTEIN 44 (RLP44), which, in turn, associates with the receptor for the peptide hormone phytosulfokine (PSK). We show that PSK signalling is required for the maintenance of procambial cell identity and is quantitatively controlled by RLP44, which promotes complex formation between the receptor for PSK and its co-receptor. Mimicking the loss of RLP44, PSK-related mutants show ectopic xylem in the position of procambium, whereas rlp44 can be rescued by exogenous PSK. Based on these findings, we propose that RLP44 controls cell fate by connecting BRI1 and PSK signalling, providing a mechanistic framework for the integration of signalling mediated by the plethora of plant receptor-like kinases at the plasma membrane.

plant biology