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      Transcriptional landscapes of floral meristems in barley

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          Abstract

          High-resolution spatial transcriptomics identifies previously unknown regulators for barley floral meristem development.

          Abstract

          Organ development in plants predominantly occurs postembryonically through combinatorial activity of meristems; therefore, meristem and organ fate are intimately connected. Inflorescence morphogenesis in grasses (Poaceae) is complex and relies on a specialized floral meristem, called spikelet meristem, that gives rise to all other floral organs and ultimately the grain. The fate of the spikelet determines reproductive success and contributes toward yield-related traits in cereal crops. Here, we examined the transcriptional landscapes of floral meristems in the temperate crop barley ( Hordeum vulgare L.) using RNA-seq of laser capture microdissected tissues from immature, developing floral structures. Our unbiased, high-resolution approach revealed fundamental regulatory networks, previously unknown pathways, and key regulators of barley floral fate and will equally be indispensable for comparative transcriptional studies of grass meristems.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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              Cytoscape: a software environment for integrated models of biomolecular interaction networks.

              Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                April 2021
                28 April 2021
                : 7
                : 18
                : eabf0832
                Affiliations
                [1 ]Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466 Seeland, Germany.
                [2 ]Department of Cell and Systems Biology/Centre for the Analysis of Genome Evolution and Function, University of Toronto, 25 Willcocks St., Toronto, ON M5S 3B2, Canada.
                [3 ]BASF Belgium Coordination Center CommV, Innovation Center Gent, Technologiepark-Zwijnaarde 101, 9052 Gent, Belgium.
                [4 ]Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, 06120 Halle, Germany.
                Author notes
                [†]

                These authors contributed equally to this work.

                [‡]

                Formerly employed by Bayer CropScience N.V.

                Author information
                http://orcid.org/0000-0003-3924-6940
                http://orcid.org/0000-0001-8566-9501
                http://orcid.org/0000-0002-2320-7579
                http://orcid.org/0000-0003-0665-5094
                http://orcid.org/0000-0003-0139-8981
                http://orcid.org/0000-0001-6373-6013
                http://orcid.org/0000-0001-5891-6503
                http://orcid.org/0000-0001-9016-9202
                http://orcid.org/0000-0002-9315-0520
                http://orcid.org/0000-0001-7080-7983
                Article
                abf0832
                10.1126/sciadv.abf0832
                8081368
                33910893
                3925470b-99fc-40eb-b6f0-d8f74f8849e3
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 02 October 2020
                : 26 February 2021
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: No. 681686 “LUSH SPIKE”, ERC-2015-CoG
                Funded by: Federal Ministry of Education and Research (BMBF);
                Award ID: FKZ 031B0201A “OSIRIS”
                Funded by: HEISENBERG Program - German Research Foundation (DFG);
                Award ID: SCHN 768/8-1, SCHN 768/15-1
                Funded by: Genome Canada/Ontario Genomics;
                Award ID: OGI-128
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Agriculture
                Plant Sciences
                Plant Sciences
                Custom metadata
                Karla Peñamante

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