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      Chromosome-scale genome assembly of kiwifruit Actinidia eriantha with single-molecule sequencing and chromatin interaction mapping

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          Abstract

          Background

          Kiwifruit ( Actinidia spp.) is a dioecious plant with fruits containing abundant vitamin C and minerals. A handful of kiwifruit species have been domesticated, among which Actinidiaeriantha is increasingly favored in breeding owing to its superior commercial traits. Recently, elite cultivars from A. eriantha have been successfully selected and further studies on their biology and breeding potential require genomic information, which is currently unavailable.

          Findings

          We assembled a chromosome-scale genome sequence of A. eriantha cultivar White using single-molecular sequencing and chromatin interaction map–based scaffolding. The assembly has a total size of 690.6 megabases and an N50 of 21.7 megabases. Approximately 99% of the assembly were in 29 pseudomolecules corresponding to the 29 kiwifruit chromosomes. Forty-three percent of the A. eriantha genome are repetitive sequences, and the non-repetitive part encodes 42,988 protein-coding genes, of which 39,075 have homologues from other plant species or protein domains. The divergence time between A. eriantha and its close relative Actinidia chinensis is estimated to be 3.3 million years, and after diversification, 1,727 and 1,506 gene families are expanded and contracted in A. eriantha, respectively.

          Conclusions

          We provide a high-quality reference genome for kiwifruit A. eriantha. This chromosome-scale genome assembly is substantially better than 2 published kiwifruit assemblies from A. chinensis in terms of genome contiguity and completeness. The availability of the A. eriantha genome provides a valuable resource for facilitating kiwifruit breeding and studies of kiwifruit biology.

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          Most cited references28

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          The rate and molecular spectrum of spontaneous mutations in Arabidopsis thaliana.

          To take complete advantage of information on within-species polymorphism and divergence from close relatives, one needs to know the rate and the molecular spectrum of spontaneous mutations. To this end, we have searched for de novo spontaneous mutations in the complete nuclear genomes of five Arabidopsis thaliana mutation accumulation lines that had been maintained by single-seed descent for 30 generations. We identified and validated 99 base substitutions and 17 small and large insertions and deletions. Our results imply a spontaneous mutation rate of 7 x 10(-9) base substitutions per site per generation, the majority of which are G:C-->A:T transitions. We explain this very biased spectrum of base substitution mutations as a result of two main processes: deamination of methylated cytosines and ultraviolet light-induced mutagenesis.
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            The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community.

            Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.
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              The PANTHER database of protein families, subfamilies, functions and pathways

              PANTHER is a large collection of protein families that have been subdivided into functionally related subfamilies, using human expertise. These subfamilies model the divergence of specific functions within protein families, allowing more accurate association with function (ontology terms and pathways), as well as inference of amino acids important for functional specificity. Hidden Markov models (HMMs) are built for each family and subfamily for classifying additional protein sequences. The latest version, 5.0, contains 6683 protein families, divided into 31 705 subfamilies, covering ∼90% of mammalian protein-coding genes. PANTHER 5.0 includes a number of significant improvements over previous versions, most notably (i) representation of pathways (primarily signaling pathways) and association with subfamilies and individual protein sequences; (ii) an improved methodology for defining the PANTHER families and subfamilies, and for building the HMMs; (iii) resources for scoring sequences against PANTHER HMMs both over the web and locally; and (iv) a number of new web resources to facilitate analysis of large gene lists, including data generated from high-throughput expression experiments. Efforts are underway to add PANTHER to the InterPro suite of databases, and to make PANTHER consistent with the PIRSF database. PANTHER is now publicly available without restriction at http://panther.appliedbiosystems.com.
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                Author and article information

                Journal
                Gigascience
                Gigascience
                gigascience
                GigaScience
                Oxford University Press
                2047-217X
                03 April 2019
                April 2019
                03 April 2019
                : 8
                : 4
                : giz027
                Affiliations
                [1 ]School of Horticulture, Anhui Agricultural University, 130 Chang Jiang Xi Lu, Hefei, Anhui 230036, China
                [2 ]Ministry of Education Key Laboratory for Bio-resource and Eco-environment, College of Life Science, State Key Laboratory of Hydraulics and Mountain River Engineering, 29 Wang Jiang Lu, Sichuan University, Chengdu, Sichuan 610064, China
                [3 ]School of Food Science and Engineering, Hefei University of Technology, 193 Tun Xi Lu, Hefei, Anhui 230009, China
                [4 ]Boyce Thompson Institute, Cornell University, 533 Tower Road, Ithaca, NY 14853, USA
                [5 ]Sichuan Academy of Natural Resource Sciences, 24 Yi Huan Lu Nan Er Duan, Chengdu, Sichuan 610015, China
                [6 ]U.S. Department of Agriculture–Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, 538 Tower Road, Ithaca, NY 14853, USA
                Author notes
                Correspondence address. Dr. Zhangjun Fei, E-mail: zf25@ 123456cornell.edu
                Correspondence address. Dr. Yongsheng Liu, E-mail: liuyongsheng1122@ 123456hfut.edu.cn

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-3327-0547
                http://orcid.org/0000-0001-9684-1450
                http://orcid.org/0000-0002-0956-8693
                Article
                giz027
                10.1093/gigascience/giz027
                6446220
                30942870
                8f00de40-a4d3-4d64-9bb7-eafc3b79b369
                © The Author(s) 2019. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 July 2018
                : 12 November 2018
                : 01 March 2019
                Page count
                Pages: 10
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 31471157
                Award ID: 31700266
                Funded by: National Foundation for Germplasm Repository of Special Horticultural Crops in Central Mountain Areas of China
                Award ID: NJF2017-69
                Funded by: National Science Fund
                Award ID: 30825030
                Funded by: Key Project from the Government of Sichuan Province
                Award ID: 2013NZ0014
                Award ID: 2016NZ0105
                Funded by: Key Project from the Government of Anhui Province
                Award ID: 2012AKKG0739
                Award ID: 1808085MC57
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: IOS-1339287
                Award ID: IOS-1539831
                Categories
                Data Note

                kiwifruit,actinidia eriantha,genome assembly,single molecular sequencing,high-throughput chromosome conformation capture

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