Analysis of genes differentially expressed in Fuerte avocado fruit in response to Colletotrichum gloeosporioides infection

The anthracnose pathogen, Colletotrichum gloeosporioides (Penz.) Penz. & Sacc., is a major cause of disease in the avocado industry, causing significant economic losses, and infects all cultivars. In South Africa, Fuerte and Hass varieties are the most widely grown. Identification of genes differentially expressed in avocado during infection with the fungus represents an important step towards understanding the plant’s defence responses and would assist in designing appropriate intervention strategies. In this study, 454 sequencing and analysis of the transcriptome of infected Fuerte avocado fruits were performed using the Roche 454 GS FLX Titanium platform. cDNA libraries enriched for differentially expressed genes were constructed from unharvested and harvested avocado fruit tissues collected after 1, 4 and 24 h post-infection and after 3, 4, 5 and 7 day post-infection, then sequenced.The expression profiles of the genes expressed were measured by a hierarchical clustering algorithm.Subsequently, quantitative real-time PCR was employed to measure the expression of some candidate resistance genes to anthracnose disease and to validate the sequencing results. The single sequencing run produced 215 781 reads from the transcriptome. A total of 70.6 MB of sequence data was generated and subjected to BLAST searches of which about 1500 genes encoding proteins predicted to function in signal transduction, transcriptional control, metabolism, defence, stress response, transportation processes and some genes with unknown functions were identified. The expression profiles studies showed that many expressed genes were either up or down regulated after infection in avocado fruits when compared to the uninfected sample. Salicylic acid and ethylene were identified to be involved in the signalling networks activated in avocado fruit during C. gloeosporioides infection. This study showed that avocado is able to respond to C. gloeosporioides infection by exhibiting a sophisticated molecular system for pathogen recognition and by activating structural and biochemical defence mechanisms

Lipopolysaccharide perception leads to dynamic alterations in the microtranscriptome of Arabidopsis thaliana cells and leaf tissues

MicroRNAs (miRNAs) are non-coding RNA molecules which have recently emerged as important gene regulators in plants and their gene expression analysis is becoming increasingly important. miRNAs regulate gene expression at the post-transcriptional level by translational repression or target degradation of specific mRNAs and gene silencing. In order to profile the microtranscriptome of Arabidopsis thaliana leaf and callus tissues in response to bacterial lipopolysaccharide (LPS), small RNA libraries were constructed at 0 and 3 h post induction with LPS and sequenced by Illumina sequencing technology.National Research Foundation (NRF) of South AfricaUniversity of Johannesbur

Functional characterization of a defense-related class-III chitinase promoter from Lupinus albus, active in legume and monocot tissues

A class-III chitinase promoter was isolated from Lupinus albus. The region 5′ to the coding sequence of the IF3 gene was amplified by gene walking and sequenced. The proximal 2.0 kb sequence contains a predicted promoter site, including a TATA box, near the ATG start site. To test for minimal sequences needed for promoter activity, the region was restricted into fragments of 1.81, 1.51 and 1.13 kb and cloned into the pDM327 vector, upstream from the bar-gus fusion gene for Biolistic™ transformation. Transformation of lupin embryos, bean callus tissue, maize embryos and Ornithogalum callus demonstrated promoter activity for all fragments. In silico analysis identified putative cis-acting elements in the 1.81 kb fragment that could be important in controlling gene expression. Fungal elicitor activated-, woundinducible- and ethylene responsive elements were present in the 1.51 kb fragment. Myb elements and CAAT boxes that regulate responses to environmental factors and modulate promoter efficiency were identified in the 1.81 kb fragment. The 1.51 and 1.81 kb fragments were inserted upstream of the gus gene into the pBI121 vector for Agrobacterium tumefaciens transformation of tobacco. Quantitative GUS assays indicated that the promoter fragments are functional in planta and inducible by defense-related signals, wounding, as well as chemical elicitation. All important elements essential for Bion inducibility are present on the shorter (1.51 kb) promoter fragment, but both 5′ distal and proximal cis-elements are required for full functionality. The IF3 promoter is, thus, suitable for use in defense gene constructs prepared for the production of anthracnose resistant lupin.South African Agricultural Research Council (ARC) and the Protein Research Trust (PRT).http://link.springer.com/journal/106582017-12-31hb2016Plant Scienc

Metabolomic Analysis of Defense-Related Reprogramming in Sorghum bicolor in Response to Colletotrichum sublineolum Infection Reveals a Functional Metabolic Web of Phenylpropanoid and Flavonoid Pathways

The metabolome of a biological system provides a functional readout of the cellular state, thus serving as direct signatures of biochemical events that define the dynamic equilibrium of metabolism and the correlated phenotype. Hence, to elucidate biochemical processes involved in sorghum responses to fungal infection, a liquid chromatography-mass spectrometry-based untargeted metabolomic study was designed. Metabolic alterations of three sorghum cultivars responding to Colletotrichum sublineolum, were investigated. At the 4-leaf growth stage, the plants were inoculated with fungal spore suspensions and the infection monitored over time: 0, 3, 5, 7, and 9 days post inoculation. Non-infected plants were used as negative controls. The metabolite composition of aqueous-methanol extracts were analyzed on an ultra-high performance liquid chromatography system coupled to high-definition mass spectrometry. The acquired multidimensional data were processed to create data matrices for multivariate statistical analysis and chemometric modeling. The computed chemometric models indicated time- and cultivar-related metabolic changes that reflect sorghum responses to the fungal infection. Metabolic pathway and correlation-based network analyses revealed that this multi-component defense response is characterized by a functional metabolic web, containing defense-related molecular cues to counterattack the pathogen invasion. Components of this network are metabolites from a range of interconnected metabolic pathways with the phenylpropanoid and flavonoid pathways being the central hub of the web. One of the key features of this altered metabolism was the accumulation of an array of phenolic compounds, particularly de novo biosynthesis of the antifungal 3-deoxyanthocynidin phytoalexins, apigeninidin, luteolinidin, and related conjugates. The metabolic results were complemented by qRT-PCR gene expression analyses that showed upregulation of defense-related marker genes. Unraveling key characteristics of the biochemical mechanism underlying sorghum—C. sublineolum interactions, provided valuable insights with potential applications in breeding crop plants with enhanced disease resistance. Furthermore, the study contributes to ongoing efforts toward a comprehensive understanding of the regulation and reprogramming of plant metabolism under biotic stress

Inferring the Regulatory Network of the miRNA-mediated Response to Biotic and Abiotic Stress in Melon

[EN] Background: MiRNAs have emerged as key regulators of stress response in plants, suggesting their potential as candidates for knock-in/out to improve stress tolerance in agricultural crops. Although diverse assays have been performed, systematic and detailed studies of miRNA expression and function during exposure to multiple environments in crops are limited. Results: Here, we present such pioneering analysis in melon plants in response to seven biotic and abiotic stress conditions. Deep-sequencing and computational approaches have identified twenty-four known miRNAs whose expression was significantly altered under at least one stress condition, observing that down-regulation was preponderant. Additionally, miRNA function was characterized by high scale degradome assays and quantitative RNA measurements over the intended target mRNAs, providing mechanistic insight. Clustering analysis provided evidence that eight miRNAs showed a broad response range under the stress conditions analyzed, whereas another eight miRNAs displayed a narrow response range. Transcription factors were predominantly targeted by stressresponsive miRNAs in melon. Furthermore, our results show that the miRNAs that are down-regulated upon stress predominantly have as targets genes that are known to participate in the stress response by the plant, whereas the miRNAs that are up-regulated control genes linked to development. Conclusion: Altogether, this high-resolution analysis of miRNA-target interactions, combining experimental and computational work, Illustrates the close interplay between miRNAs and the response to diverse environmental conditions, in melon.The authors thank Dr. A. Monforte for providing melon seeds and Dra. B. Pico (Cucurbits Group - COMAV) for providing melon seeds and Monosporascus isolate respectively. This work was supported by grants AGL2016-79825-R, BIO2014-61826-EXP (GG), and BFU2015-66894-P (GR) from the Spanish Ministry of Economy and Competitiveness (co-supported by FEDER). The funders had no role in the experiment design, data analysis, decision to publish, or preparation of the manuscript.Sanz-Carbonell, A.; Marques Romero, MC.; Bustamante-González, AJ.; Fares Riaño, MA.; Rodrigo Tarrega, G.; Gomez, GG. (2019). Inferring the Regulatory Network of the miRNA-mediated Response to Biotic and Abiotic Stress in Melon. BMC Plant Biology. 1-17. https://doi.org/10.1186/s12870-019-1679-0S117Zhang B. MicroRNAs: a new target for improving plant tolerance to abiotic stress. J Exp Bot. 2015;66:1749–61.Zhu JK. Abiotic stress signaling and responses in plants. Cell. 2016;167:313–24.Bielach A, Hrtyan M, Tognetti VB. Plants under stress: involvement of auxin and Cytokinin. Int J Mol Sci. 2017;4(18):7.Zarattini M, Forlani G. 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12 février 19211921/02/12 (A22,N7364)