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      Phytochrome regulates cellular response plasticity and the basic molecular machinery of leaf development

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          Abstract

          Plants are plastic organisms that optimize growth in response to a changing environment. This adaptive capability is regulated by external cues, including light, which provides vital information about the habitat. Phytochrome photoreceptors detect far-red light, indicative of nearby vegetation, and elicit the adaptive shade-avoidance syndrome (SAS), which is critical for plant survival. Plants exhibiting SAS are typically more elongated, with distinctive, small, narrow leaf blades. By applying SAS-inducing end-of-day far-red (EoD FR) treatments at different times during Arabidopsis ( Arabidopsis thaliana) leaf 3 development, we have shown that SAS restricts leaf blade size through two distinct cellular strategies. Early SAS induction limits cell division, while later exposure limits cell expansion. This flexible strategy enables phytochromes to maintain control of leaf size through the proliferative and expansion phases of leaf growth. mRNAseq time course data, accessible through a community resource, coupled to a bioinformatics pipeline, identified pathways that underlie these dramatic changes in leaf growth. Phytochrome regulates a suite of major development pathways that control cell division, expansion, and cell fate. Further, phytochromes control cell proliferation through synchronous regulation of the cell cycle, DNA replication, DNA repair, and cytokinesis, and play an important role in sustaining ribosome biogenesis and translation throughout leaf development.

          Abstract

          Phytochrome regulates leaf blade plasticity through two alternative cellular response strategies and concertedly coordinates gene expression of the basic cellular machinery of leaf development.

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          Most cited references131

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

            Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Journal
                Plant Physiol
                Plant Physiol
                plphys
                Plant Physiology
                Oxford University Press
                0032-0889
                1532-2548
                June 2021
                09 March 2021
                09 March 2021
                : 186
                : 2
                : 1220-1239
                Affiliations
                [1 ] Halliday Lab, Institute of Molecular Plant Sciences (IMPS), King’s Buildings, University of Edinburgh , Edinburgh, UK
                [2 ] Comparative Genomics of Plant Development, Fundación Instituto Leloir (FIL), Instituto de Investigaciones Bioquímicas Buenos Aires (IIBBA) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , C1405BWE Buenos Aires, Argentina
                Author notes

                Joint senior authors

                Author for communication: Karen.Halliday@ 123456ed.ac.uk
                Author information
                https://orcid.org/0000-0003-0737-2408
                https://orcid.org/0000-0001-5643-2070
                https://orcid.org/0000-0002-1127-5582
                https://orcid.org/0000-0003-0467-104X
                Article
                kiab112
                10.1093/plphys/kiab112
                8195529
                33693822
                4db4cb6a-6df4-405c-8c95-4efa04ee3658
                © The Author(s) 2021. Published by Oxford University Press on behalf of American Society of Plant Biologists.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 November 2020
                : 18 February 2021
                Page count
                Pages: 20
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council – United Kingdom Research and Innovation (BBSRC-UKRI);
                Award ID: BB/M025551/1
                Award ID: BB/N005147/1
                Funded by: Punjab Educational Endowment Fund;
                Award ID: PEEF/SSMS/2016/203
                Categories
                Research Articles
                Signalling and Response
                AcademicSubjects/SCI02286
                AcademicSubjects/SCI02287
                AcademicSubjects/SCI01270
                AcademicSubjects/SCI01280
                AcademicSubjects/SCI02288

                Plant science & Botany
                Plant science & Botany

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