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      A chromosome-level genome for the nudibranch gastropod Berghia stephanieae helps parse clade-specific gene expression in novel and conserved phenotypes

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          Abstract

          How novel phenotypes originate from conserved genes, processes, and tissues remains a major question in biology. Research that sets out to answer this question often focuses on the conserved genes and processes involved, an approach that explicitly excludes the impact of genetic elements that may be classified as clade-specific, even though many of these genes are known to be important for many novel, or clade-restricted, phenotypes. This is especially true for understudied phyla such as mollusks, where limited genomic and functional biology resources for members of this phylum has long hindered assessments of genetic homology and function. To address this gap, we constructed a chromosome-level genome for the gastropod Berghia stephanieae (Valdés, 2005) to investigate the expression of clade-specific genes across both novel and conserved tissue types in this species. The final assembled and filtered Berghia genome is comparable to other high quality mollusk genomes in terms of size (1.05 Gb) and number of predicted genes (24,960 genes), and is highly contiguous. The proportion of upregulated, clade-specific genes varied across tissues, but with no clear trend between the proportion of clade-specific genes and the novelty of the tissue. However, more complex tissue like the brain had the highest total number of upregulated, clade-specific genes, though the ratio of upregulated clade-specific genes to the total number of upregulated genes was low. Our results, when combined with previous research on the impact of novel genes on phenotypic evolution, highlight the fact that the complexity of the novel tissue or behavior, the type of novelty, and the developmental timing of evolutionary modifications will all influence how novel and conserved genes interact to generate diversity.

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          Most cited references133

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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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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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              The Sequence Alignment/Map format and SAMtools

              Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                16 November 2023
                : 2023.08.04.552006
                Affiliations
                [1 ]Division of Invertebrate Zoology, American Museum of Natural History, New York, NY USA
                [2 ]Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
                [3 ]Bioengineering Department, Stanford University, Stanford, CA, USA
                [4 ]Department of Wildland Resources, Utah State University, Logan, UT, USA
                [5 ]Department of Biology, University of Massachusetts Amherst, Amherst, MA, USA
                Author notes

                Authors’ contributions

                JAG, MDR, PSK and DCL conceived of the study; JAG, NFT, RAF, SRB, KM, MACJ, CW, PM, GOB, HTJ, MDR and DCL collected data; JAG, RAR, and RAF performed data analyses; JAG, MDR, RAF, PSK and DCL participated in data interpretation. All authors read and approved the final manuscript.

                Author information
                http://orcid.org/0000-0003-0754-5751
                http://orcid.org/0000-0002-2560-8608
                http://orcid.org/0000-0001-8477-596X
                http://orcid.org/0000-0003-3873-6999
                http://orcid.org/0000-0003-0786-1287
                http://orcid.org/0000-0002-2644-5214
                Article
                10.1101/2023.08.04.552006
                10680569
                38014205
                be3724eb-f322-4c40-8d8d-ba9acfb123b8

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

                History
                Funding
                This work was supported by a Scripps Postdoctoral Fellowship to JAG and NIH BRAIN awards, U01-NS108637 and 1U01-NS123972, to PSK and DCL and an Emerging Research Organisms Grant from the Society for Developmental Biology to DCL This work also used the Extreme Science and Engineering Discovery Environment (XSEDE) at the San Diego Supercomputer Center (SDSC) through allocation IDs TG-BIO210019 and TG-BIO210138 [133], which is supported by National Science Foundation grant number ACI-1548562.
                Categories
                Article

                novelty,lineage-restricted genes,nudibranchia,gastropoda,differential gene expression

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