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      Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication

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          Abstract

          Domestication of the apple was mainly driven by interspecific hybridization. In the present study, we report the haplotype-resolved genomes of the cultivated apple ( Malus domestica cv. Gala) and its two major wild progenitors, M. sieversii and M. sylvestris. Substantial variations are identified between the two haplotypes of each genome. Inference of genome ancestry identifies ~23% of the Gala genome as of hybrid origin. Deep sequencing of 91 accessions identifies selective sweeps in cultivated apples that originated from either of the two progenitors and are associated with important domestication traits. Construction and analyses of apple pan-genomes uncover thousands of new genes, with hundreds of them being selected from one of the progenitors and largely fixed in cultivated apples, revealing that introgression of new genes/alleles is a hallmark of apple domestication through hybridization. Finally, transcriptome profiles of Gala fruits at 13 developmental stages unravel ~19% of genes displaying allele-specific expression, including many associated with fruit quality.

          Abstract

          Phased diploid genomes of the cultivated apple Malus domestica cv. Gala and its two major wild progenitors M. sieversii and M. sylvestris, as well as pan-genome analyses, provide insights into the genetic history of apple domestication.

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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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              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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                Author and article information

                Contributors
                GanYuan.Zhong@ars.usda.gov
                zf25@cornell.edu
                Journal
                Nat Genet
                Nat Genet
                Nature Genetics
                Nature Publishing Group US (New York )
                1061-4036
                1546-1718
                2 November 2020
                2 November 2020
                2020
                : 52
                : 12
                : 1423-1432
                Affiliations
                [1 ]GRID grid.5386.8, ISNI 000000041936877X, Boyce Thompson Institute, ; Ithaca, NY USA
                [2 ]GRID grid.507316.6, US Department of Agriculture, Agricultural Research Service, , Plant Genetic Resources Unit, ; Geneva, NY USA
                [3 ]GRID grid.452757.6, ISNI 0000 0004 0644 6150, Shandong Centre of Crop Germplasm Resources, , Shandong Academy of Agricultural Sciences, ; Jinan, Shandong China
                [4 ]GRID grid.5386.8, ISNI 000000041936877X, Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, , Cornell University, ; Geneva, NY USA
                [5 ]GRID grid.5386.8, ISNI 000000041936877X, Horticulture Section, School of Integrative Plant Science, New York State Agricultural Experiment Station, , Cornell University, ; Geneva, NY USA
                [6 ]GRID grid.5386.8, ISNI 000000041936877X, Horticulture Section, School of Integrative Plant Science, , Cornell University, ; Ithaca, NY USA
                [7 ]GRID grid.507316.6, US Department of Agriculture, Agricultural Research Service, , Robert W. Holley Center for Agriculture and Health, ; Ithaca, NY USA
                Author information
                http://orcid.org/0000-0002-3327-0547
                http://orcid.org/0000-0003-0443-0406
                http://orcid.org/0000-0001-8239-8179
                http://orcid.org/0000-0001-5254-5350
                http://orcid.org/0000-0001-6499-3337
                http://orcid.org/0000-0001-9684-1450
                Article
                723
                10.1038/s41588-020-00723-9
                7728601
                33139952
                d8cb2b7c-a474-43a4-bd36-623fd9c9a90d
                © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 December 2019
                : 22 September 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: IOS-1855585
                Award ID: IOS-1339287
                Award Recipient :
                Categories
                Article
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                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2020

                Genetics
                plant genetics,genomics,population genetics
                Genetics
                plant genetics, genomics, population genetics

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