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      Asymmetric epigenetic modification and homoeolog expression bias in the establishment and evolution of allopolyploid Brassica napus

      1 , 1 , 1 , 2 , 1
      New Phytologist
      Wiley

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          Abstract

          <p class="first" id="d6456867e91">This study explores how allopolyploidization reshapes the biased expression and asymmetric epigenetic modification of homoeologous gene pairs, and examines the regulation types and epigenetic basis of expression bias. We analyzed the gene expression and four epigenetic modifications (DNA methylation, H3K4me3, H3K27me3 and H3K27ac) of 29 976 homoeologous gene pairs in resynthesized, natural allopolyploid Brassica napus and an in silico 'hybrid'. We comprehensively elucidated the biased gene expression, asymmetric epigenetic modifications and the generational transmission characteristics of these homoeologous gene pairs in B. napus. We analyzed cis/trans effects and the epigenetic basis of homoeolog expression bias. There was a significant positive correlation between two active histone modifications and biased gene expression. We revealed that parental legacy was the dominant principle in the remodeling of homoeolog expression bias and asymmetric epigenetic modifications in B. napus, and further clarified that this depends on whether there were differences in the expression/epigenetic modifications of gene pairs in parents/progenitors. The maternal genome was dominant in the homoeolog expression bias of resynthesized B. napus, and this phenomenon was attenuated in natural B. napus. Furthermore, cis rather than trans effects were dominant when epigenetic modifications potentially affected biased expression of gene pairs in B. napus. </p>

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          Is Open Access

          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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              Author and article information

              Contributors
              Journal
              New Phytologist
              New Phytologist
              Wiley
              0028-646X
              1469-8137
              October 2021
              August 04 2021
              October 2021
              : 232
              : 2
              : 898-913
              Affiliations
              [1 ]College of Life Sciences Wuhan University Wuhan 430072 China
              [2 ]Key Laboratory of Biology and Genetic Improvement of Oil Crops Ministry of Agriculture Oil Crops Research Institute of CAAS Wuhan 430062 China
              Article
              10.1111/nph.17621
              34265096
              9007927a-4281-4b0d-b2c3-e5783068c883
              © 2021

              http://onlinelibrary.wiley.com/termsAndConditions#vor

              http://doi.wiley.com/10.1002/tdm_license_1.1

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