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      The complex hexaploid oil‐Camellia genome traces back its phylogenomic history and multi‐omics analysis of Camellia oil biosynthesis

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          Summary

          Oil‐Camellia ( Camellia oleifera), belonging to the Theaceae family Camellia, is an important woody edible oil tree species. The Camellia oil in its mature seed kernels, mainly consists of more than 90% unsaturated fatty acids, tea polyphenols, flavonoids, squalene and other active substances, which is one of the best quality edible vegetable oils in the world. However, genetic research and molecular breeding on oil‐Camellia are challenging due to its complex genetic background. Here, we successfully report a chromosome‐scale genome assembly for a hexaploid oil‐Camellia cultivar Changlin40. This assembly contains 8.80 Gb genomic sequences with scaffold N50 of 180.0 Mb and 45 pseudochromosomes comprising 15 homologous groups with three members each, which contain 135 868 genes with an average length of 3936 bp. Referring to the diploid genome, intragenomic and intergenomic comparisons of synteny indicate homologous chromosomal similarity and changes. Moreover, comparative and evolutionary analyses reveal three rounds of whole‐genome duplication (WGD) events, as well as the possible diversification of hexaploid Changlin40 with diploid occurred approximately 9.06 million years ago (MYA). Furthermore, through the combination of genomics, transcriptomics and metabolomics approaches, a complex regulatory network was constructed and allows to identify potential key structural genes ( SAD, FAD2 and FAD3) and transcription factors (AP2 and C2H2) that regulate the metabolism of Camellia oil, especially for unsaturated fatty acids biosynthesis. Overall, the genomic resource generated from this study has great potential to accelerate the research for the molecular biology and genetic improvement of hexaploid oil‐Camellia, as well as to understand polyploid genome evolution.

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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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            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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              Cytoscape: a software environment for integrated models of biomolecular interaction networks.

              Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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                Author and article information

                Contributors
                dinfany@mail.hzau.edu.cn
                huxiaoming658809@163.com
                jsx@mail.hzau.edu.cn
                Journal
                Plant Biotechnol J
                Plant Biotechnol J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                24 June 2024
                October 2024
                : 22
                : 10 ( doiID: 10.1111/pbi.v22.10 )
                : 2890-2906
                Affiliations
                [ 1 ] College of Biology and Agricultural Resources, Huanggang Normal University Huanggang Hubei China
                [ 2 ] National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory Huazhong Agricultural University Wuhan Hubei China
                [ 3 ] Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences Wanning Hainan China
                [ 4 ] Hubei Academy of Forestry Wuhan Hubei China
                [ 5 ] National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan) Huazhong Agricultural University Wuhan Hubei China
                [ 6 ] College of Agriculture, Shihezi University Shihezi Xinjiang China
                [ 7 ] Department of Biosciences Durham University Durham UK
                [ 8 ] Hubei Key Laboratory of Plant Pathology, College of Plant Science and Technology Huazhong Agricultural University Wuhan Hubei China
                [ 9 ] School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) Hainan University Sanya Hainan China
                Author notes
                [*] [* ] Correspondence (Shuangxia Jin: Tel +86 027 87282130; Fax +86‐027‐87280196; email jsx@ 123456mail.hzau.edu.cn or Fang Ding: Tel +86 027 87283955; Fax +86‐027‐87280196; email dinfany@ 123456mail.hzau.edu.cn or Xiaoming Hu: Tel 086 07138833727; Fax 086 07138833606; email huxiaoming658809@ 123456163.com ).

                [ † ]

                These authors contributed equally to the work.

                Author information
                https://orcid.org/0000-0003-2559-9091
                https://orcid.org/0000-0002-3950-210X
                https://orcid.org/0000-0001-7225-3785
                https://orcid.org/0000-0002-4693-8489
                https://orcid.org/0000-0002-7703-524X
                https://orcid.org/0000-0002-9697-7179
                https://orcid.org/0000-0002-1495-9154
                Article
                PBI14412 PBI-01157-2023.R2
                10.1111/pbi.14412
                11536451
                38923257
                16c9d1bb-b212-4fa6-991e-9b5d62b88fd2
                © 2024 The Author(s). Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 May 2024
                : 06 November 2023
                : 29 May 2024
                Page count
                Figures: 6, Tables: 1, Pages: 17, Words: 15499
                Funding
                Funded by: National Science Fund of China for Distinguished Young Scholars
                Award ID: 32325039
                Funded by: Hubei Province Key R&D Plan
                Award ID: 2021BBA260
                Funded by: Central Guiding Local Science and Technology Development Special Project
                Award ID: 2022BGE229
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31660427
                Funded by: Hubei Hongshan Laboratory
                Award ID: 2021hszd013
                Categories
                Research Article
                Research Article
                Custom metadata
                2.0
                October 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.5.0 mode:remove_FC converted:04.11.2024

                Biotechnology
                oil‐camellia (camellia oleifera),hexaploid,chromosome‐scale genome assembly,whole‐genome duplication,camellia oil biosynthesis

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