77 research outputs found

    Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

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    Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity and lack of documentation hinder researchers from analyzing their high-throughput data to its true potential. In this chapter we detail our data-driven, transkingdom network (TransNet) analysis protocol to integrate and interrogate multi-omics data. This systems biology approach has allowed us to successfully identify important causal relationships between different taxonomic kingdoms (e.g. mammals and microbes) using diverse types of data

    The Maltase Involved in Starch Metabolism in Barley Endosperm Is Encoded by a Single Gene

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    During germination and early seedling growth of barley (Hordeum vulgare), maltase is responsible for the conversion of maltose produced by starch degradation in the endosperm to glucose for seedling growth. Despite the potential relevance of this enzyme for malting and the production of alcoholic beverages, neither the nature nor the role of maltase is fully understood. Although only one gene encoding maltase has been identified with certainty, there is evidence for the existence of other genes and for multiple forms of the enzyme. It has been proposed that maltase may be involved directly in starch granule degradation as well as in maltose hydrolysis. The aim of our work was to discover the nature of maltase in barley endosperm. We used ion exchange chromatography to fractionate maltase activity from endosperm of young seedlings, and we partially purified activity for protein identification. We compared maltase activity in wild-type barley and transgenic lines with reduced expression of the previously-characterised maltase gene Agl97, and we used genomic and transcriptomic information to search for further maltase genes. We show that all of the maltase activity in the barley endosperm can be accounted for by a single gene, Agl97. Multiple forms of the enzyme most likely arise from proteolysis and other post-translational modifications

    The Role of bZIP Transcription Factors in Green Plant Evolution: Adaptive Features Emerging from Four Founder Genes

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    BACKGROUND: Transcription factors of the basic leucine zipper (bZIP) family control important processes in all eukaryotes. In plants, bZIPs are regulators of many central developmental and physiological processes including photomorphogenesis, leaf and seed formation, energy homeostasis, and abiotic and biotic stress responses. Here we performed a comprehensive phylogenetic analysis of bZIP genes from algae, mosses, ferns, gymnosperms and angiosperms. METHODOLOGY/PRINCIPAL FINDINGS: We identified 13 groups of bZIP homologues in angiosperms, three more than known before, that represent 34 Possible Groups of Orthologues (PoGOs). The 34 PoGOs may correspond to the complete set of ancestral angiosperm bZIP genes that participated in the diversification of flowering plants. Homologous genes dedicated to seed-related processes and ABA-mediated stress responses originated in the common ancestor of seed plants, and three groups of homologues emerged in the angiosperm lineage, of which one group plays a role in optimizing the use of energy. CONCLUSIONS/SIGNIFICANCE: Our data suggest that the ancestor of green plants possessed four bZIP genes functionally involved in oxidative stress and unfolded protein responses that are bZIP-mediated processes in all eukaryotes, but also in light-dependent regulations. The four founder genes amplified and diverged significantly, generating traits that benefited the colonization of new environments

    Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

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    Cation transporters/channels in plants: Tools for nutrient biofortification

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    Root development: Pulse control

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    Reconstruction of lateral root formation through single-cell RNA sequencing reveals order of tissue initiation

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    Pags 1362-1378 IlustracionesPostembryonic organogenesis is critical for plant development. Underground, lateral roots (LRs) form the bulk of mature root systems, yet the ontogeny of the LR primordium (LRP) is not clear. In this study, we performed the single-cell RNA sequencing through the first four stages of LR formation in Arabidopsis. Our analysis led to a model in which a single group of precursor cells, with a cell identity different from their pericycle origins, rapidly reprograms and splits into a mixed ground tissue/stem cell niche fate and a vascular precursor fate. The ground tissue and stem cell niche fates soon separate and a subset of more specialized vascular cells form sucrose transporting phloem cells that appear to connect to the primary root. We did not detect cells resembling epidermis or root cap, suggesting that outer tissues may form later, preceding LR emergence. At this stage, some remaining initial precursor cells form the primordium flanks, while the rest create a reservoir of pluripotent cells that are able to replace the LR if damaged. Laser ablation of the central and lateral LRP regions showed that remaining cells restart the sequence of tissue initiation to form a LR. Collectively, our study reveals an ontological hierarchy for LR formation with an early and sequential split of main root tissues and stem cells.This work was funded by the Ministerio de Economı´a y Competitividad (MINECO) of Spain and ERDF (grants BFU2016-80315-P and PID2019- 111523GB-I00 to M.A.M.-R), by the Comunidad de Madrid (CM) and Universidad Politécnica de Madrid (UPM; grant APOYO_JOVENES_ 2Y36R7_20_TRG6W7 [Plant_Stem] to P.P.-G.), the ‘‘Severo Ochoa (SO) Program for Centers of Excellence in R&D’’ from the Agencia Estatal de Investigacio´ n of Spain [SEV-2016-0672 (2017–2021)] to M.A.M.-R and P.P.-G via the CBGP, and by the National Institutes of Health (grant 1R35GM136362) and National Science Foundation (grant 1934388) to K.D.B. L.S.-R. and A.S.-C. were supported by FPI contracts (BES-2017- 080155 and BES-2014-068852, respectively) from MINECO, P.P.-G. by Programa Atraccion Talento from CM (2017-T2/BIO-3453) and SO, and J.C. by a Juan de la Cierva contract from MINECO (FJCI-2016-28607).Peer reviewe

    Analysis of a plant transcriptional regulatory network using transient expression systems

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    In plant biology, transient expression systems have become valuable approaches used routinely to rapidly study protein expression, subcellular localization, protein-protein interactions, and transcriptional activity prior to in vivo studies. When studying transcriptional regulation, luciferase reporter assays offer a sensitive readout for assaying promoter behavior in response to different regulators or environmental contexts and to confirm and assess the functional relevance of predicted binding sites in target promoters. This chapter aims to provide detailed methods for using luciferase reporter system as a rapid, efficient, and versatile assay to analyze transcriptional regulation of target genes by transcriptional regulators. We describe a series of optimized transient expression systems consisting of Arabidopsis thaliana protoplasts, infiltrated Nicotiana benthamiana leaves, and human HeLa cells to study the transcriptional regulations of two well-characterized transcriptional regulators SCARECROW (SCR) and SHORT-ROOT (SHR) on one of their targets, CYCLIN D6 (CYCD6). Here, we illustrate similarities and differences in outcomes when using different systems. The plant-based systems revealed that the SCR–SHR complex enhances CYCD6 transcription, while analysis in HeLa cells showed that the complex is not sufficient to strongly induce CYCD6 transcription, suggesting that additional, plant-specific regulators are required for full activation. These results highlight the importance of the system and suggest that including heterologous systems, such as HeLa cells, can provide a more comprehensive analysis of a complex gene regulatory network
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