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      Molecular asymmetry in the cephalochordate embryo revealed by single-blastomere transcriptome profiling

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          Abstract

          Studies in various animals have shown that asymmetrically localized maternal transcripts play important roles in axial patterning and cell fate specification in early embryos. However, comprehensive analyses of the maternal transcriptomes with spatial information are scarce and limited to a handful of model organisms. In cephalochordates (amphioxus), an early branching chordate group, maternal transcripts of germline determinants form a compact granule that is inherited by a single blastomere during cleavage stages. Further blastomere separation experiments suggest that other transcripts associated with the granule are likely responsible for organizing the posterior structure in amphioxus; however, the identities of these determinants remain unknown. In this study, we used high-throughput RNA sequencing of separated blastomeres to examine asymmetrically localized transcripts in two-cell and eight-cell stage embryos of the amphioxus Branchiostoma floridae. We identified 111 and 391 differentially enriched transcripts at the 2-cell stage and the 8-cell stage, respectively, and used in situ hybridization to validate the spatial distribution patterns for a subset of these transcripts. The identified transcripts could be categorized into two major groups: (1) vegetal tier/germ granule-enriched and (2) animal tier/anterior-enriched transcripts. Using zebrafish as a surrogate model system, we showed that overexpression of one animal tier/anterior-localized amphioxus transcript, zfp665, causes a dorsalization/anteriorization phenotype in zebrafish embryos by downregulating the expression of the ventral gene, eve1, suggesting a potential function of zfp665 in early axial patterning. Our results provide a global transcriptomic blueprint for early-stage amphioxus embryos. This dataset represents a rich platform to guide future characterization of molecular players in early amphioxus development and to elucidate conservation and divergence of developmental programs during chordate evolution.

          Author summary

          Studies in model animals have shown that asymmetrically localized maternal transcripts play important roles in axial patterning and cell fate specification in early embryos. However, comprehensive analyses of the maternal transcriptomes with spatial information are limited to a handful of organisms. Here, we use a PCR-based single-cell RNA sequencing approach on separated blastomeres from the cleavage stage embryos of amphioxus, an early-branching chordate. We generate a spatial transcriptomic map and demonstrate the mosaic property of the early amphioxus embryo, contrasting to the general notion that its embryogenesis is highly regulative. Our cross-species experiments further provide evidence to support that some of the identified factors play functions in early axial patterning. Our results provide a global transcriptomic blueprint that can serve as a rich platform for guiding future characterization of molecular players in early amphioxus development and for comparative studies on testing conservation and divergence of developmental programs during chordate evolution.

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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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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              limma powers differential expression analyses for RNA-sequencing and microarray studies

              limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Investigation
                Role: Resources
                Role: Validation
                Role: Validation
                Role: ValidationRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                31 December 2020
                December 2020
                : 16
                : 12
                : e1009294
                Affiliations
                [1 ] Institute of Cellular and Organismic Biology, Academia Sinica, Taipei, Taiwan
                [2 ] Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
                [3 ] State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
                [4 ] Department of Life Science, National Taiwan University, Taipei, Taiwan
                [5 ] Marine Research Station, Institute of Cellular and Organismic Biology, Academia Sinica, Yilan, Taiwan
                University of Pennsylvania School of Medicine, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2122-9221
                https://orcid.org/0000-0001-5980-4351
                https://orcid.org/0000-0002-5691-6216
                https://orcid.org/0000-0002-0520-346X
                https://orcid.org/0000-0001-6798-9632
                https://orcid.org/0000-0001-8591-0529
                Article
                PGENETICS-D-20-00766
                10.1371/journal.pgen.1009294
                7806126
                33382716
                a024425b-991c-4b67-a088-1393e608692c
                © 2020 Lin et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 May 2020
                : 24 November 2020
                Page count
                Figures: 9, Tables: 0, Pages: 31
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001869, Academia Sinica;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001869, Academia Sinica;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Award ID: MOST-102-2311-B-022-MY3
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Award ID: MOST-105-2628-B-001-003
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Award ID: MOST-107-2321-B-001-017
                Award Recipient :
                This work was supported by the Academia Sinica ( https://www.sinica.edu.tw/en) intramural fund to JKY and YHS, and by the Ministry of Science and Technology, Taiwan, under the grants MOST-102-2311-B-001-011-MY3 and MOST-105-2628-B-001-003-MY3 to JKY, and MOST-107-2321-B-001-017 to YHS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Amphioxus
                Biology and Life Sciences
                Zoology
                Animals
                Amphioxus
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Blastomeres
                Biology and Life Sciences
                Developmental Biology
                Embryology
                Blastomeres
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Zebrafish
                Research and Analysis Methods
                Model Organisms
                Zebrafish
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Animal Models
                Zebrafish
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Osteichthyes
                Zebrafish
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Fish
                Osteichthyes
                Zebrafish
                Biology and Life Sciences
                Developmental Biology
                Embryology
                Embryos
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Gene Ontologies
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Gene Ontologies
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Messenger RNA
                Biology and Life Sciences
                Developmental Biology
                Morphogenesis
                Pattern Formation
                Embryonic Pattern Formation
                Biology and Life Sciences
                Genetics
                Gene Expression
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-01-13
                The raw RNA-seq data for 24 amphioxus blastomere samples have been deposited in the NCBI database under accession number PRJNA556757 ( https://www.ncbi.nlm.nih.gov/bioproject/PRJNA556757).

                Genetics
                Genetics

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