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      Chromosome‐scale genome assembly and insights into the metabolome and gene regulation of leaf color transition in an important oak species, Quercus dentata

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          Summary

          • Quercus dentata Thunb., a dominant forest tree species in northern China, has significant ecological and ornamental value due to its adaptability and beautiful autumn coloration, with color changes from green to yellow into red resulting from the autumnal shifts in leaf pigmentation. However, the key genes and molecular regulatory mechanisms for leaf color transition remain to be investigated.

          • First, we presented a high‐quality chromosome‐scale assembly for Q. dentata. This 893.54 Mb sized genome (contig N50 = 4.21 Mb, scaffold N50 = 75.55 Mb; 2 n = 24) harbors 31 584 protein‐coding genes. Second, our metabolome analyses uncovered pelargonidin‐3‐ O‐glucoside, cyanidin‐3‐ O‐arabinoside, and cyanidin‐3‐ O‐glucoside as the main pigments involved in leaf color transition. Third, gene co‐expression further identified the MYB‐bHLH‐WD40 (MBW) transcription activation complex as central to anthocyanin biosynthesis regulation.

          • Notably, transcription factor (TF) QdNAC ( QD08G038820) was highly co‐expressed with this MBW complex and may regulate anthocyanin accumulation and chlorophyll degradation during leaf senescence through direct interaction with another TF, QdMYB ( QD01G020890), as revealed by our further protein–protein and DNA–protein interaction assays.

          • Our high‐quality genome assembly, metabolome, and transcriptome resources further enrich Quercus genomics and will facilitate upcoming exploration of ornamental values and environmental adaptability in this important genus.

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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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            Gene Ontology: tool for the unification of biology

            Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                Journal
                New Phytologist
                New Phytologist
                Wiley
                0028-646X
                1469-8137
                June 2023
                March 28 2023
                June 2023
                : 238
                : 5
                : 2016-2032
                Affiliations
                [1 ] Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Engineering Research Center for Ancient Tree Health and Ancient Tree Culture of National Forestry and Grassland Administration, College of Landscape Architecture, Bioinformatics Center Beijing University of Agriculture Beijing 102206 China
                [2 ] Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology Beijing Forestry University Beijing 100083 China
                [3 ] BGI Genomics, BGI‐Shenzhen Shenzhen 518083 China
                [4 ] Department of Forest and Conservation Sciences, Faculty of Forestry University of British Columbia Vancouver BC V6T 1Z4 Canada
                [5 ] Départment des Sciences du Bois et de la Forêt, Faculté de Foresterie, de Géographie et Géomatique Université Laval Québec QC G1V 0A6 Canada
                [6 ] Department of Plant Physiology, Umeå Plant Science Centre Umeå University Umeå 90187 Sweden
                Article
                10.1111/nph.18814
                36792969
                623c49eb-72f5-4f7f-ae97-730a552cdb93
                © 2023

                http://creativecommons.org/licenses/by-nc/4.0/

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